WEBVTT - iPhone Shipments Fall in China , Baltimore Bridge Collapse

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<v Speaker 2>I think it's starting to get serious. Here here's the

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<v Speaker 2>news today again on Apple. Apple iPhone shipments in China

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<v Speaker 2>fell about thirty three percent in February from a year earlier,

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<v Speaker 2>according to official data, extending a slump in demand from

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<v Speaker 2>the flagship device in its most important overseas market. This

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<v Speaker 2>is getting my attention now. I need to check in

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<v Speaker 2>with men Deep Singh. He's our senior tech analyst for

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<v Speaker 2>Bloomberg Intelligence. Man Deep, I mean one month, okay, two months?

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<v Speaker 3>I mean it's starting to stack up here.

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<v Speaker 2>What are we hearing from Coopertino about China risk and

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<v Speaker 2>opportunities for them right now?

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<v Speaker 4>I think the two data points that you got this year,

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<v Speaker 4>one in February from this source called Counterpoint, where they

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<v Speaker 4>said iPhone sales were down twenty four percent for six weeks.

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<v Speaker 4>Now it's validated that they are actually down thirty three

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<v Speaker 4>percent for the month of February, so clearly, you know

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<v Speaker 4>they have a problem both with the demand for iPhone

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<v Speaker 4>as well as competition. I think one of the things

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<v Speaker 4>that doesn't get as much attention right now is the

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<v Speaker 4>fact that Huawei has a comparable phone to iPhone. And

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<v Speaker 4>the reason they've been able to do it very quickly

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<v Speaker 4>is because of the supply chains that Apple created in

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<v Speaker 4>the region. So a lot of those suppliers are actually

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<v Speaker 4>making the phone for Huawei and they don't have to

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<v Speaker 4>do much because Apple is at the cutting edge when

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<v Speaker 4>it comes to the chip, the assembly, and so all

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<v Speaker 4>the supply chains. Guys are actually diversifying themselves and making

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<v Speaker 4>phones for Shami Huawei. Huawei is the notable share gainer here,

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<v Speaker 4>but that just goes to show that, you know, they

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<v Speaker 4>are also diversifying.

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<v Speaker 5>Which also goes to show why Tim Cook is in

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<v Speaker 5>China and saying that extra day to meet with quote

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<v Speaker 5>unquote top leadership, which everyone seems to think is he's

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<v Speaker 5>in paying what's going to be his pitch?

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<v Speaker 4>I mean, look, I think my phones, yes, and they

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<v Speaker 4>used to have twenty percent revenue exposure to China. It's

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<v Speaker 4>gone down to about fifteen percent now. But when you

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<v Speaker 4>think about the weight of China both as their biggest

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<v Speaker 4>supply chain. You know, ninety five ninety eight percent supply

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<v Speaker 4>chain still resides in China and fifteen percent revenue exposure.

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<v Speaker 4>He doesn't have a choice, and that's where he has

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<v Speaker 4>to make sure. You know, he's aligned with the party

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<v Speaker 4>and you know, the locals, and they just want to

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<v Speaker 4>make sure they don't end up losing share. Forget about

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<v Speaker 4>growing in the region. It's all about keeping the share

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<v Speaker 4>they have Right now, I.

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<v Speaker 3>Don't know the answer.

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<v Speaker 2>I can't think of an answer for Apple, particularly on

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<v Speaker 2>the supply chain. I can pencil out China going to.

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<v Speaker 3>Close to zero terms of sales.

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<v Speaker 2>I could pencil that out, put a multiple on it,

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<v Speaker 2>and there we go. There is no Apple without China

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<v Speaker 2>in terms of supply chain. There is no Apple without

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<v Speaker 2>that supply chain.

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<v Speaker 4>And for the longest time we thought the risk for

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<v Speaker 4>the suppliers is if Apple is not giving business to them,

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<v Speaker 4>they don't have anything to manufacture. Well guess what they have,

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<v Speaker 4>you know, a Huawei and the local guys, and so

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<v Speaker 4>that's how they are going about the business right now.

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<v Speaker 5>So if I'm Tim Cook and I have seen this

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<v Speaker 5>for years and I want to diversify my supply chain.

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<v Speaker 5>What does that look like?

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<v Speaker 6>What is that?

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<v Speaker 4>I mean, it's we did a big report. It's a

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<v Speaker 4>multi year yes, and you know, the assembly part is

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<v Speaker 4>already moving to India. We've seen a big rampop in India.

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<v Speaker 4>Almost twenty two percent of the phones last year iPhones,

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<v Speaker 4>not the highest end, but a lot of the models

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<v Speaker 4>were assembled in India, and gradually they will have to diversify,

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<v Speaker 4>you know, the assembly side. The problem they are running

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<v Speaker 4>into is the com all the components that you need

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<v Speaker 4>to manufacture an iPhone and the complex device that it is.

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<v Speaker 4>It's not that easy to just you know, lift and

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<v Speaker 4>shift your supply chains into a different regions. You need

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<v Speaker 4>so many there's so many dependencies both with TSMC and

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<v Speaker 4>the other suppliers that feed into the Chinese assembly. So

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<v Speaker 4>all that needs to be relocated, and it will happen.

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<v Speaker 4>It's just it's a multi year effort. And right now

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<v Speaker 4>the focus is also shifting towards on device AI. I

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<v Speaker 4>feel the reason why Chinese government is really cracking down

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<v Speaker 4>is because the next wave of this is AI will

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<v Speaker 4>run on device and they don't want a US based

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<v Speaker 4>company probably to be running AI. You know, on device

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<v Speaker 4>in the in the region. So that's the other aspect

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<v Speaker 4>of it.

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<v Speaker 2>Here to date stocks down eleven percent trailing twelve months,

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<v Speaker 2>it's up seven percent. Well, that can make it from

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<v Speaker 2>here a bear case could be made here big time.

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<v Speaker 2>I mean, look, I mean a long term multi bear

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<v Speaker 2>case here. I've got supply chain issues. I've already zeroed

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<v Speaker 2>out my China revenue.

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<v Speaker 5>And revenue is going to be changing because of all

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<v Speaker 5>the new laws.

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<v Speaker 4>Right in terms of core cases could be Yeah, the

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<v Speaker 4>DJ lawsuit, it's coming at the worst time for Apple.

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<v Speaker 4>I mean, they should be doubling down on other markets

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<v Speaker 4>where they can acquire share that they may end up

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<v Speaker 4>losing in China. Obviously, the DJ lawsuit is not helping.

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<v Speaker 4>And the EU regulation the digital markets acts, so from

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<v Speaker 4>a regulatory perspective, you're right. I think the bear case

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<v Speaker 4>is really around the revenue exposure and I'm sure the

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<v Speaker 4>supply chains they'll moddel through in terms of making sure

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<v Speaker 4>they can still make the phone. And you know, as

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<v Speaker 4>long as the manufacturers or they are getting the business,

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<v Speaker 4>they don't mind Apple continuing to you know, have the

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<v Speaker 4>supply chains remain intact there. But I think the hard

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<v Speaker 4>part would be the EPs drawdown as a result of

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<v Speaker 4>the Chinese revenue going down.

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<v Speaker 2>I mean, you know, thirty two buys eighteen holes out

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<v Speaker 2>there in five cells. That's about as middle of the

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<v Speaker 2>road as I've seen Apple in twenty years in terms

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<v Speaker 2>of the street.

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<v Speaker 5>And it's waiting in the s and p is also falling. Yeah,

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<v Speaker 5>that too, So I mean.

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<v Speaker 4>I equate it. It's similar to Tesla. Actually, in some ways,

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<v Speaker 4>Tesla and Apple are very similar because Tesla also has

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<v Speaker 4>a revenue exposure. It also manufactures it cars, But I

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<v Speaker 4>think Tesla's supply chain is more diversified. That's the one

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<v Speaker 4>big difference is they do manufacture elsewhere.

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<v Speaker 5>Here's a dumb question, why can't they just build stuff

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<v Speaker 5>in the US? Like, I know, it's not as easy

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<v Speaker 5>as like here's a plant, let's PLoP it down in

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<v Speaker 5>the US. But like why is India the next port

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<v Speaker 5>of call? Like why not the US?

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<v Speaker 4>Well, again, it's the components. So think of the bill

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<v Speaker 4>of Yeah, there are certain components that can only be

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<v Speaker 4>sourced over there, and over time they can move things around.

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<v Speaker 4>But if you're talking about you know, a twelve hundred

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<v Speaker 4>dollars phone, it has a certain bill of material things

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<v Speaker 4>are done in a certain way. That's why it comes

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<v Speaker 4>at that cost. We're not talking about a five thousand

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<v Speaker 4>dollars phone. If they you know, relocate things overnight, that

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<v Speaker 4>price could double triple.

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<v Speaker 5>I mean, okay, that's crazy. But you remember when the

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<v Speaker 5>iPhone was coming out of a thousand and it was like,

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<v Speaker 5>no one's going to pay that. This is insane, this

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<v Speaker 5>is ridiculous. Now it's like twelve hundred whatever.

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<v Speaker 3>Yeah, exactly.

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<v Speaker 2>The market adapts, as we've seen here. All right, So

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<v Speaker 2>if you're a bull, are you simply saying there's two

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<v Speaker 2>billion units out there, they'll forgret to way to make

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<v Speaker 2>money off of those things, and that ecosystem, I.

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<v Speaker 4>Mean, the bull case is still the ecosystem and the

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<v Speaker 4>fact that they have an install base of one point

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<v Speaker 4>three billion users you know who still have the iPhone

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<v Speaker 4>and they will refresh the phone at some point, and

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<v Speaker 4>everyone still likes the iOS ecosystem. I think what Huawei

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<v Speaker 4>is doing is laying out a path where people can

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<v Speaker 4>move out of the iOS ecosystem. And then the whole

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<v Speaker 4>AI thing and the regulatory stuff I think is just

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<v Speaker 4>making it worse. Word the timing of it is just

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<v Speaker 4>words for Apple, right, now interesting.

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<v Speaker 2>Interesting, So the developer conference in June, right, that's gonna

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<v Speaker 2>the pressure is gonna be big for them to reach.

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<v Speaker 4>And remember they're looking at leveraging by DO. Now that

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<v Speaker 4>the reason for leveraging by DO for AI in Chinese

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<v Speaker 4>region is just to please you know that, the fact

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<v Speaker 4>that they're using a local AI player as opposed to

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<v Speaker 4>deploying their own AI.

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<v Speaker 2>So that's the other aspect of it, all right, Man,

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<v Speaker 2>Deep sing thank you so much. Is he's the best man,

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<v Speaker 2>Deep Singh. He covers all the technology for Bloomberg Intelligence

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<v Speaker 2>along a Runa and the whole team around the globe London,

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<v Speaker 2>New York, at in Silicon Valley. We've got a big

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<v Speaker 2>team in Asia as well, so we've got the global

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<v Speaker 2>tech space covered head to toe.

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<v Speaker 1>There you're listening to the Bloomberg Intelligence Podcast. Catch us

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<v Speaker 2>Michael McKee joins us, our global economics editor here and Michael,

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<v Speaker 2>when we see a bridge in a major port city

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<v Speaker 2>like Baltimore collapsed into the river. There are economic implications here,

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<v Speaker 2>and we're just learning more and more about Baltimore as

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<v Speaker 2>a port city, Baltimore as a city where a lot

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<v Speaker 2>of cargo transit.

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<v Speaker 3>Its over that bridge.

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<v Speaker 2>How are you thinking about it from I guess a

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<v Speaker 2>regional economic impact.

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<v Speaker 7>Well, it's a regional impact and to a certain extent,

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<v Speaker 7>a national impact because of the type of cargo that

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<v Speaker 7>Baltimore handles.

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<v Speaker 1>It is the.

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<v Speaker 7>Largest port for automobile.

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<v Speaker 3>Imports, and I didn't know that before.

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<v Speaker 7>Most nine hundred thousand cars, cars and other trucks came

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<v Speaker 7>through there. Plus they also handle what they call roll

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<v Speaker 7>on rollofs for big companies like Caterpillar and John Deere,

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<v Speaker 7>so a lot of equipment goes through that port. It

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<v Speaker 7>is one of the bigger ports on the east coast

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<v Speaker 7>of the US. So there's going to be an interruption there,

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<v Speaker 7>first of all, because there's no way to get in

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<v Speaker 7>or out of the port at the moment until they

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<v Speaker 7>clear the wreckage of the bridge. Bloomberg's trade people have

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<v Speaker 7>noted there's twenty one ships behind them ridge, so I can't.

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<v Speaker 3>Get out again.

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<v Speaker 7>And then there are more that would be coming in

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<v Speaker 7>that in theory can be diverted, but it's going to

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<v Speaker 7>be a question of capacity for getting the tonnage off

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<v Speaker 7>those ships others.

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<v Speaker 3>It's interesting.

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<v Speaker 2>I have to admit I am a kind of a

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<v Speaker 2>trade shipping geek, and I have an app on my

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<v Speaker 2>phone that tracks this stuff. So I'm sitting on the

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<v Speaker 2>Jersey Shore beach and I say a big cargo ship, gup.

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<v Speaker 2>I want to know where it came from, where it's

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<v Speaker 2>going when it's carrying. And what I do notice is

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<v Speaker 2>the ones leaving the New York Harbor often the next

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<v Speaker 2>stop is actually Norfolk, Virginia, more so than you would

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<v Speaker 2>say Philadelphia, Baltimore. So perhaps, but I can't imagine putt

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<v Speaker 2>nine hundred thousand cars. Who's got room for that, right, Yeah, that's.

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<v Speaker 7>Going to be a bit of an issue. They also

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<v Speaker 7>it's a major distribution hup there on the north side

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<v Speaker 7>of the bridge. They have Amazon FedEx under Armor Home Depot.

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<v Speaker 7>They all have big warehouses there and the stuff that

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<v Speaker 7>comes in and out to those warehouses and this will

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<v Speaker 7>be more of a regional impact but won't be coming

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<v Speaker 7>in and out. So there's going to be have to

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<v Speaker 7>be a lot of logistical changes made. Now the good

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<v Speaker 7>news is to the extent that I don't know if

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<v Speaker 7>it's good news or not. But we have had some

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<v Speaker 7>bridge collapses in recent years, remember in Minnesota and in

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<v Speaker 7>the Bay Bridge in Oakland. Others like that have happened.

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<v Speaker 7>Philadelphia had the I ninety five bridge, and putting a

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<v Speaker 7>bridge back together is easier than building it from scratch.

0:11:55.200 --> 0:11:55.839
<v Speaker 3>Now, this is a.

0:11:55.960 --> 0:11:59.120
<v Speaker 7>Much worse This is a much worse situation than those.

0:12:00.400 --> 0:12:04.000
<v Speaker 7>They were able to get them rebuilt on a fairly

0:12:04.200 --> 0:12:07.480
<v Speaker 7>quick timetable. It took five years to build this bridge,

0:12:08.040 --> 0:12:10.720
<v Speaker 7>so the hope is it would not take that long

0:12:11.360 --> 0:12:12.520
<v Speaker 7>to rebuild this bridge.

0:12:12.559 --> 0:12:15.200
<v Speaker 5>So let me ask how long This is a completely

0:12:15.280 --> 0:12:17.679
<v Speaker 5>unfair question and give you in a minute, But how

0:12:17.720 --> 0:12:19.280
<v Speaker 5>long does it take for these kind of issues to

0:12:19.320 --> 0:12:22.719
<v Speaker 5>filter down into prices for example? And then how is

0:12:22.760 --> 0:12:24.960
<v Speaker 5>the feggan to look at it, because yes, it's transitory,

0:12:25.040 --> 0:12:26.920
<v Speaker 5>but two and a half years and then the confidence

0:12:26.920 --> 0:12:29.319
<v Speaker 5>and the expectation of inflation that isn't transitory.

0:12:30.000 --> 0:12:33.520
<v Speaker 7>Well, it's hard to say at this point because companies

0:12:33.720 --> 0:12:37.160
<v Speaker 7>are much better and the pandemic forced them to be

0:12:37.240 --> 0:12:40.160
<v Speaker 7>much better at being able to change their supply routes

0:12:40.200 --> 0:12:44.880
<v Speaker 7>and supply lines on short notice. If we don't get

0:12:45.360 --> 0:12:48.720
<v Speaker 7>stuff or we can't ship stuff, it will raise the

0:12:48.840 --> 0:12:52.080
<v Speaker 7>price probably, but it has to last for a while

0:12:52.440 --> 0:12:55.800
<v Speaker 7>if they can find alternate ways around it. Transportation is

0:12:55.800 --> 0:12:59.400
<v Speaker 7>a very very small part of overall goods prices, so

0:12:59.480 --> 0:13:02.920
<v Speaker 7>it's probably not going to have a major national impact.

0:13:03.040 --> 0:13:06.840
<v Speaker 7>It may have an impact, certainly on Baltimore, and obviously

0:13:06.920 --> 0:13:09.160
<v Speaker 7>it's going to be a major impact for a while

0:13:09.240 --> 0:13:12.520
<v Speaker 7>in terms of traffic going up and down Interstate ninety five.

0:13:13.559 --> 0:13:16.480
<v Speaker 7>The probably the biggest impact is going to be with

0:13:16.559 --> 0:13:20.720
<v Speaker 7>hazardous materials because they can't go through the two Baltimore tunnels.

0:13:20.720 --> 0:13:22.720
<v Speaker 7>They can only go over the bridge. So now they're

0:13:22.760 --> 0:13:25.480
<v Speaker 7>going to have to make a wide detour around Baltimore.

0:13:25.559 --> 0:13:26.840
<v Speaker 7>That'll slow things down.

0:13:26.640 --> 0:13:28.839
<v Speaker 2>All right, Michael McKeith, thank you so much. We appreciate that.

0:13:28.880 --> 0:13:30.400
<v Speaker 2>Michael mckea economics editor.

0:13:32.760 --> 0:13:36.640
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:13:36.720 --> 0:13:39.800
<v Speaker 1>weekdays at ten am Eastern on affle Card playing Endroud

0:13:39.840 --> 0:13:42.920
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:13:43.000 --> 0:13:46.840
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0:13:48.200 --> 0:13:50.280
<v Speaker 5>Okay, let's get to some breaking data we had at

0:13:50.320 --> 0:13:53.040
<v Speaker 5>the top of the hour. And that's a consumer confidence.

0:13:53.200 --> 0:13:56.920
<v Speaker 5>So the Conference Board consumer confidence for March coming in

0:13:56.960 --> 0:13:59.679
<v Speaker 5>a little light, coming in at one oh four point seven. Also,

0:14:00.200 --> 0:14:03.960
<v Speaker 5>or was revised lower the present situation a bit better

0:14:04.120 --> 0:14:07.200
<v Speaker 5>one point fifty one. But it was the expectation number

0:14:07.679 --> 0:14:10.800
<v Speaker 5>that disappointing, coming in at seventy three point eight. So

0:14:10.880 --> 0:14:13.840
<v Speaker 5>let's dig through the numbers here. Joining us is Dana Peterson,

0:14:14.080 --> 0:14:19.120
<v Speaker 5>chief economist at the Conference Board. Dana, what led to

0:14:19.200 --> 0:14:20.920
<v Speaker 5>the lower expectation number?

0:14:22.320 --> 0:14:25.480
<v Speaker 8>Sure, the expectations number is made up of three pieces, employment,

0:14:25.920 --> 0:14:28.480
<v Speaker 8>incomes and business conditions, and all three you were down

0:14:28.480 --> 0:14:28.960
<v Speaker 8>in the month.

0:14:29.840 --> 0:14:31.040
<v Speaker 5>Well what does that tell us?

0:14:32.360 --> 0:14:34.320
<v Speaker 8>Well, tells us that consumers are a little bit worried

0:14:34.360 --> 0:14:38.160
<v Speaker 8>about the future. Certainly, this expectations gauge has been dancing

0:14:38.400 --> 0:14:42.400
<v Speaker 8>in around eighty and eighty really is the threshold for

0:14:42.480 --> 0:14:46.000
<v Speaker 8>which below that consumers think there's a recession coming. But

0:14:46.080 --> 0:14:48.440
<v Speaker 8>we also do have a separate recession question where we

0:14:48.480 --> 0:14:49.920
<v Speaker 8>ask consumers do you think there's going to be a

0:14:50.000 --> 0:14:52.600
<v Speaker 8>recession of the next twelve months, And they've been continuing

0:14:52.600 --> 0:14:55.960
<v Speaker 8>to be less convinced of that. So there's some mixed

0:14:56.320 --> 0:14:59.000
<v Speaker 8>implications here. Certainly they are a little bit concerned, but

0:14:59.000 --> 0:15:01.080
<v Speaker 8>they don't think of recession on the way.

0:15:01.160 --> 0:15:04.040
<v Speaker 2>So, Dana, it seems like from all the polling you

0:15:04.040 --> 0:15:07.200
<v Speaker 2>see out there that inflation is probably issue number one

0:15:07.320 --> 0:15:10.480
<v Speaker 2>with consumers out there. Yes, the rate of inflation has declined,

0:15:10.520 --> 0:15:13.840
<v Speaker 2>but boyd, prices are still high, whether it's food in

0:15:13.920 --> 0:15:16.080
<v Speaker 2>the supermarket, gasoline for your car.

0:15:16.800 --> 0:15:18.080
<v Speaker 3>What's your data show you about that.

0:15:19.480 --> 0:15:21.840
<v Speaker 8>Sure, we have write ins where we ask consumers what's

0:15:21.880 --> 0:15:25.240
<v Speaker 8>your most important issue, and complaints about inflation and prices

0:15:25.240 --> 0:15:28.320
<v Speaker 8>are still number one. They're still complaining about food and

0:15:28.400 --> 0:15:31.720
<v Speaker 8>energy prices, but in terms of energy, the complaints are

0:15:31.760 --> 0:15:35.120
<v Speaker 8>a little less severe, a little less intense. So consumers

0:15:35.120 --> 0:15:36.600
<v Speaker 8>are seeing a little bit of a break there, but

0:15:36.640 --> 0:15:39.160
<v Speaker 8>for the most part, there's still very worried about prices

0:15:39.200 --> 0:15:42.400
<v Speaker 8>being elevated. Eggs and gasoline costing more than they'd like.

0:15:42.600 --> 0:15:44.720
<v Speaker 5>Yeah, dot dot dot, because you take a look, there's

0:15:44.720 --> 0:15:47.320
<v Speaker 5>a survey out that shows that gasoline in the summer

0:15:47.400 --> 0:15:50.840
<v Speaker 5>could top four dollars. Now, so there is that coming

0:15:50.840 --> 0:15:54.440
<v Speaker 5>out there. You look, cocoa prices top and ten thousand dollars.

0:15:54.440 --> 0:15:57.360
<v Speaker 5>And then you have this issue at the Port of Baltimore, right,

0:15:57.400 --> 0:15:59.920
<v Speaker 5>and then you have this bridge collapse and that could

0:16:00.080 --> 0:16:03.960
<v Speaker 5>wind up affecting supply chains, et cetera. How do consumers

0:16:04.560 --> 0:16:08.080
<v Speaker 5>react to these kind of headlines, right, four dollars gasoline

0:16:08.160 --> 0:16:10.760
<v Speaker 5>bridge collapse, Like, how does this affect their level of

0:16:10.800 --> 0:16:12.320
<v Speaker 5>confidence and their level of spending?

0:16:13.680 --> 0:16:16.240
<v Speaker 8>Sure, I mean, we can't tell from this report because

0:16:16.560 --> 0:16:19.000
<v Speaker 8>you know, the data was fielded. Sure start, we redialed

0:16:19.000 --> 0:16:22.240
<v Speaker 8>it before this happened this morning. But certainly if consumers

0:16:22.280 --> 0:16:24.520
<v Speaker 8>think that there's going to be higher gasoline prices or

0:16:24.600 --> 0:16:27.720
<v Speaker 8>that supply chain disruptions from the incident in Baltimore are

0:16:27.800 --> 0:16:31.000
<v Speaker 8>going to make clothing and cars more expensive, then certainly

0:16:31.040 --> 0:16:32.720
<v Speaker 8>their confidence is probably going to wane.

0:16:33.680 --> 0:16:35.600
<v Speaker 2>All Right, Dana, thank you so much for joining us.

0:16:35.640 --> 0:16:37.960
<v Speaker 2>Dana Peterson, she said, Chief economists at the Conference Board.

0:16:38.040 --> 0:16:40.000
<v Speaker 2>We had the Conference Board coming out with some consumer

0:16:40.040 --> 0:16:44.480
<v Speaker 2>confidence data today, a little bit weaker then expected, and

0:16:44.880 --> 0:16:47.520
<v Speaker 2>certainly and some downward revisions from the prior month. So again,

0:16:47.600 --> 0:16:50.840
<v Speaker 2>consumers a little bit wavering, some confidence out there. Inflation

0:16:51.320 --> 0:16:54.160
<v Speaker 2>remains stubborn for many folks out there.

0:16:55.800 --> 0:16:59.640
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast catch us live

0:17:00.080 --> 0:17:03.280
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0:17:03.320 --> 0:17:06.040
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0:17:06.200 --> 0:17:09.280
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0:17:09.680 --> 0:17:12.399
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0:17:13.920 --> 0:17:15.480
<v Speaker 3>All right, let's see what's happening with these markets?

0:17:15.680 --> 0:17:18.600
<v Speaker 2>Checking with he does his stuff. We're a living Carolshlife,

0:17:18.920 --> 0:17:23.560
<v Speaker 2>chief investment officer of BEMO Family office located there in Minneapolis,

0:17:23.560 --> 0:17:25.840
<v Speaker 2>and she's joining us via zoom. So, Carol, what do

0:17:25.920 --> 0:17:29.800
<v Speaker 2>you make of this market here? What's driving stock price

0:17:29.880 --> 0:17:30.200
<v Speaker 2>is higher?

0:17:30.200 --> 0:17:34.359
<v Speaker 9>In your opinion, I think there's a growing belief that

0:17:35.240 --> 0:17:38.160
<v Speaker 9>whether it's not even a soft landing, it's no landing

0:17:38.200 --> 0:17:40.920
<v Speaker 9>at all. There's a growing belief in the sturdiness of

0:17:41.000 --> 0:17:44.200
<v Speaker 9>the economy and what's going on in the US. There's

0:17:44.200 --> 0:17:47.159
<v Speaker 9>also a lot of physcal stimulus that's finally freed up.

0:17:47.640 --> 0:17:50.160
<v Speaker 9>It's been teed up for the last couple of years,

0:17:50.240 --> 0:17:53.880
<v Speaker 9>and now it's actually moving into markets and supporting things.

0:17:54.000 --> 0:17:58.880
<v Speaker 9>We're doing exciting things like reshoring, we're building artificial intelligence

0:17:59.119 --> 0:18:01.800
<v Speaker 9>data center hub. There's a lot of activity going on,

0:18:02.480 --> 0:18:04.480
<v Speaker 9>and if you look under the hood at what the

0:18:04.600 --> 0:18:07.840
<v Speaker 9>markets are showing, they're showing it's not just those Magnificent

0:18:07.920 --> 0:18:09.000
<v Speaker 9>seven leading the pack.

0:18:09.080 --> 0:18:09.480
<v Speaker 6>Anymore.

0:18:09.680 --> 0:18:13.480
<v Speaker 9>It's a much broader basis, and you've seen a broadening

0:18:13.520 --> 0:18:16.960
<v Speaker 9>out of the leadership, which is very reassuring and supportive

0:18:17.119 --> 0:18:18.480
<v Speaker 9>for constructive markets.

0:18:18.960 --> 0:18:21.280
<v Speaker 2>So again, a lot of folks, I guess we did

0:18:21.400 --> 0:18:24.440
<v Speaker 2>see that that November December moving the market, a broadening

0:18:24.520 --> 0:18:25.920
<v Speaker 2>out of performance.

0:18:27.320 --> 0:18:29.240
<v Speaker 3>How important is that for the market.

0:18:29.080 --> 0:18:32.119
<v Speaker 2>Because it just seems like technology has got to lead

0:18:32.160 --> 0:18:34.119
<v Speaker 2>this market, but you need to see us some other

0:18:34.160 --> 0:18:35.560
<v Speaker 2>sectors participate as well.

0:18:36.720 --> 0:18:37.760
<v Speaker 6>Yeah, it's definitely.

0:18:38.000 --> 0:18:42.000
<v Speaker 9>It's definitely important for the sustainability and durability of a

0:18:42.119 --> 0:18:47.840
<v Speaker 9>market advance to have most of the participants or most

0:18:47.880 --> 0:18:49.760
<v Speaker 9>of the constituents participating.

0:18:50.320 --> 0:18:51.600
<v Speaker 6>And you're definitely seeing that.

0:18:51.720 --> 0:18:54.960
<v Speaker 9>You're seeing a turnover where you've got stabilization, some interesting

0:18:55.080 --> 0:18:58.639
<v Speaker 9>things going on with financial services, you've got consumer goods

0:18:59.200 --> 0:19:05.840
<v Speaker 9>companies moving both staples and but more particularly the discretionary.

0:19:05.160 --> 0:19:05.760
<v Speaker 6>Side of things.

0:19:06.200 --> 0:19:08.280
<v Speaker 9>We'll have earnings coming up in a couple of weeks,

0:19:08.320 --> 0:19:10.440
<v Speaker 9>so we'll be able to start parsing through some of that.

0:19:10.840 --> 0:19:13.840
<v Speaker 9>But it really is vital for the for this for

0:19:13.960 --> 0:19:16.680
<v Speaker 9>the ability of the markets to carry on that more

0:19:16.720 --> 0:19:19.760
<v Speaker 9>and more are participating in it, and it's interesting on

0:19:19.840 --> 0:19:22.600
<v Speaker 9>a day like today, even a lot of those magnificence

0:19:22.680 --> 0:19:26.120
<v Speaker 9>haven't aren't in the top tier. They're they're holding their own,

0:19:26.240 --> 0:19:28.600
<v Speaker 9>but they're way down the list of contributors. And so

0:19:28.720 --> 0:19:32.879
<v Speaker 9>it's really important for this market to continue to see

0:19:33.160 --> 0:19:36.040
<v Speaker 9>more and more stocks participating.

0:19:36.640 --> 0:19:39.840
<v Speaker 5>How do you judge that, Carol, I mean, because there

0:19:39.880 --> 0:19:41.359
<v Speaker 5>are because they're they're not going to be able to

0:19:41.440 --> 0:19:43.600
<v Speaker 5>catch up to like pre pandemic levels. You can make

0:19:43.600 --> 0:19:46.639
<v Speaker 5>an argument like maybe energy and industrials we've seen, but

0:19:47.359 --> 0:19:49.480
<v Speaker 5>how do you know which sectors are going to be

0:19:49.520 --> 0:19:52.119
<v Speaker 5>able to have that real balance and which ones are

0:19:52.200 --> 0:19:54.720
<v Speaker 5>just going to be too exposed to rates, say and

0:19:54.800 --> 0:19:55.480
<v Speaker 5>the consumer.

0:19:56.720 --> 0:20:01.280
<v Speaker 6>I think it's really important to not necessarily just invest sectors.

0:20:01.359 --> 0:20:04.720
<v Speaker 6>But what you saw, especially in the last quarterly earnings.

0:20:04.520 --> 0:20:08.560
<v Speaker 9>As you saw a big dispersion even within sectors in

0:20:08.680 --> 0:20:11.560
<v Speaker 9>terms of who was adapting the higher rates, who was

0:20:11.640 --> 0:20:14.560
<v Speaker 9>adapting the higher costs, who wasn't. You saw a lot

0:20:14.600 --> 0:20:19.159
<v Speaker 9>of credit attributed to individual companies that talked about right

0:20:19.280 --> 0:20:21.960
<v Speaker 9>sizing businesses where they were laying off in one part

0:20:22.040 --> 0:20:24.000
<v Speaker 9>in investing strategically in another.

0:20:24.560 --> 0:20:26.720
<v Speaker 6>So it really is a stock pickers market.

0:20:26.840 --> 0:20:29.480
<v Speaker 9>So maybe the bigger question is do we go back

0:20:29.560 --> 0:20:33.240
<v Speaker 9>to a predominance of active management and those active managers

0:20:33.600 --> 0:20:36.159
<v Speaker 9>who are able to parse through the companies that are

0:20:36.280 --> 0:20:41.000
<v Speaker 9>really able to accommodate. But one of the things that's

0:20:41.119 --> 0:20:44.119
<v Speaker 9>helpful as companies try to figure out can they adjust

0:20:44.160 --> 0:20:48.080
<v Speaker 9>to higher in overall higher terminal rate is if the

0:20:48.480 --> 0:20:51.200
<v Speaker 9>FED is done raising rates, which they seem for all

0:20:51.240 --> 0:20:54.040
<v Speaker 9>intents and purposes to have indicated in a variety of

0:20:54.119 --> 0:20:58.040
<v Speaker 9>ways that they're done raising regardless of when they start

0:20:58.119 --> 0:21:03.359
<v Speaker 9>to lower, it's easy to model out what impacts rates

0:21:03.440 --> 0:21:06.840
<v Speaker 9>have if they're not continuing to rise. At least you

0:21:06.920 --> 0:21:09.680
<v Speaker 9>can figure out what your cost of capital is and

0:21:09.840 --> 0:21:14.400
<v Speaker 9>play that through. So you know, it's a real arduous task,

0:21:14.520 --> 0:21:16.800
<v Speaker 9>if you will, because it's a company by company, not

0:21:17.000 --> 0:21:19.600
<v Speaker 9>necessarily industry by industry exercise.

0:21:20.160 --> 0:21:23.239
<v Speaker 2>Are there some sectors, given given that the bottoms up

0:21:23.359 --> 0:21:26.280
<v Speaker 2>pickers market in some people's perspective, are there some sectors

0:21:26.320 --> 0:21:28.320
<v Speaker 2>that generally you guys are favoring at this point?

0:21:29.600 --> 0:21:31.679
<v Speaker 6>Yeah, I think. I mean there's a variety of sectors.

0:21:31.760 --> 0:21:34.440
<v Speaker 9>We've liked industrials for a very long period of time,

0:21:34.560 --> 0:21:37.840
<v Speaker 9>not the least of which is because the fiscal stimulus

0:21:38.160 --> 0:21:42.200
<v Speaker 9>tied up are or teed up if you will, for

0:21:42.520 --> 0:21:46.120
<v Speaker 9>those sectors we've liked industrials. We do think financials will

0:21:46.160 --> 0:21:49.119
<v Speaker 9>need to play. Healthcare is very important as well, and

0:21:49.200 --> 0:21:52.639
<v Speaker 9>there's a lot of innovation going on in medical devices,

0:21:52.920 --> 0:21:57.600
<v Speaker 9>biotechnology services, lots of different things that are benefiting.

0:21:57.960 --> 0:22:00.280
<v Speaker 6>And technology and communication service.

0:22:00.320 --> 0:22:03.320
<v Speaker 9>Are important as well because they, as you mentioned, there's

0:22:03.400 --> 0:22:07.240
<v Speaker 9>such a significant component and they builter over into virtually

0:22:07.359 --> 0:22:08.720
<v Speaker 9>every other industry as well.

0:22:09.840 --> 0:22:10.280
<v Speaker 10>What do you do?

0:22:10.520 --> 0:22:12.440
<v Speaker 5>This is totally talking my own book, but some of

0:22:12.480 --> 0:22:15.040
<v Speaker 5>the stocks that have done really well this quarter is

0:22:15.119 --> 0:22:19.879
<v Speaker 5>Constellation Energy. It's a straight up nuclear power company, and

0:22:20.080 --> 0:22:22.040
<v Speaker 5>that has done really well as a derivative play of

0:22:22.119 --> 0:22:24.359
<v Speaker 5>data centers and AI because you need so much power.

0:22:24.440 --> 0:22:27.399
<v Speaker 5>And I'm wondering if this is like the octopus legs

0:22:27.440 --> 0:22:29.800
<v Speaker 5>for AI, like you have to go into those sectors

0:22:30.160 --> 0:22:32.680
<v Speaker 5>that will also really benefit. How do you think about that?

0:22:33.680 --> 0:22:36.080
<v Speaker 6>Yeah, I think it's really important because it's not just

0:22:36.880 --> 0:22:37.119
<v Speaker 6>to me.

0:22:37.440 --> 0:22:40.360
<v Speaker 9>It parallels very much what happened in the first dot

0:22:40.480 --> 0:22:42.840
<v Speaker 9>com first internet build out in the ninety five to

0:22:42.920 --> 0:22:46.280
<v Speaker 9>two thousand. You had a lot of short term exuberance

0:22:46.320 --> 0:22:48.920
<v Speaker 9>around anybody who could put dot com in their name,

0:22:49.440 --> 0:22:49.720
<v Speaker 9>but the.

0:22:50.240 --> 0:22:52.080
<v Speaker 6>More important longer term play.

0:22:52.160 --> 0:22:56.760
<v Speaker 9>There were the people building out the actual infrastructures, the routers,

0:22:56.960 --> 0:23:00.920
<v Speaker 9>the data centers at the time, and similarly here it

0:23:01.040 --> 0:23:03.600
<v Speaker 9>really is the play on It's great to say you're

0:23:03.600 --> 0:23:05.159
<v Speaker 9>going to put up a data center, but you have

0:23:05.280 --> 0:23:07.440
<v Speaker 9>to hook it to the energy grid. You also have

0:23:07.560 --> 0:23:10.359
<v Speaker 9>to make sure you have water rights for the cooling

0:23:10.480 --> 0:23:14.200
<v Speaker 9>technology there. So there's a lot of secondary in tertiary

0:23:14.720 --> 0:23:17.080
<v Speaker 9>knock on effects that go there. And so I think

0:23:17.280 --> 0:23:23.440
<v Speaker 9>investing more broadly that way, because artificial intelligence, data centers,

0:23:23.520 --> 0:23:26.919
<v Speaker 9>reshoring all of that stuff is not just a short.

0:23:26.720 --> 0:23:30.119
<v Speaker 6>Term cyclical play. It's a secular play, and.

0:23:30.160 --> 0:23:33.320
<v Speaker 9>So figuring out who's going to benefit and where the

0:23:33.440 --> 0:23:36.320
<v Speaker 9>stocks may not have moved, not Constellation may have moved,

0:23:36.400 --> 0:23:40.480
<v Speaker 9>but there are other broader implications for those industries that

0:23:40.680 --> 0:23:43.840
<v Speaker 9>you're spot on in terms of highlighting those.

0:23:44.920 --> 0:23:48.720
<v Speaker 3>So you know, outside of let's work it up earnings.

0:23:48.800 --> 0:23:51.359
<v Speaker 2>You mentioned in a couple of weeks, what are you

0:23:51.400 --> 0:23:53.320
<v Speaker 2>going to be looking for here? I mean, I'm thinking

0:23:53.359 --> 0:23:56.720
<v Speaker 2>about valuation in this market, Carol. I mean, we've seen big,

0:23:56.760 --> 0:23:58.840
<v Speaker 2>big moves off the October lows. I'm not sure I've

0:23:58.840 --> 0:24:02.680
<v Speaker 2>seen a commensurate move higher and analyst estimates here, what's

0:24:02.760 --> 0:24:04.879
<v Speaker 2>your valuation call, and how important earnings coming up?

0:24:05.800 --> 0:24:09.840
<v Speaker 9>Well, earnings will be really important to watch and listen for,

0:24:10.040 --> 0:24:11.959
<v Speaker 9>and there will be a lot, as there have been

0:24:12.040 --> 0:24:15.160
<v Speaker 9>in the last few quarters, there will be a lot

0:24:15.240 --> 0:24:17.920
<v Speaker 9>of analysis not just of worthy earnings come in, but

0:24:18.000 --> 0:24:20.920
<v Speaker 9>what the companies say in those transcripts and in those

0:24:20.960 --> 0:24:25.840
<v Speaker 9>earnings calls. And people will be watching pricing power, what

0:24:25.920 --> 0:24:29.240
<v Speaker 9>they're doing with employment, what they're doing with capex and

0:24:31.720 --> 0:24:34.960
<v Speaker 9>expansion plans, what they might be doing with mergers and acquisitions,

0:24:35.040 --> 0:24:36.760
<v Speaker 9>how much cash is on the balance sheet.

0:24:36.960 --> 0:24:38.960
<v Speaker 6>There'll be a lot of details that people will be

0:24:39.160 --> 0:24:42.480
<v Speaker 6>looking for in those earnings. And you're right, valuations are

0:24:42.560 --> 0:24:43.320
<v Speaker 6>not cheap.

0:24:44.000 --> 0:24:48.960
<v Speaker 9>They're not hyper expensive necessarily, and particularly when you look

0:24:49.000 --> 0:24:52.119
<v Speaker 9>at technology and the way that those growth trends have

0:24:52.280 --> 0:24:57.320
<v Speaker 9>come in. Those growth trends have supported where the stock

0:24:57.400 --> 0:25:00.320
<v Speaker 9>price movements may have gone, even though evaluation and are

0:25:00.359 --> 0:25:03.400
<v Speaker 9>somewhat high. But you know, critical sectors to watch will

0:25:03.440 --> 0:25:06.840
<v Speaker 9>be those consumer names. How much pricing power do they have,

0:25:07.080 --> 0:25:09.680
<v Speaker 9>because it does feel like in the last couple of

0:25:09.800 --> 0:25:13.280
<v Speaker 9>quarters there's a lot of consumer pushback in terms of

0:25:14.000 --> 0:25:16.040
<v Speaker 9>you know, what the grocery bill is going to cost

0:25:16.119 --> 0:25:18.320
<v Speaker 9>her what they're willing to spend on and what they're

0:25:18.400 --> 0:25:19.520
<v Speaker 9>not willing to spend on.

0:25:19.800 --> 0:25:23.720
<v Speaker 6>But consumers are still spending, companies are still spending.

0:25:23.920 --> 0:25:29.160
<v Speaker 5>So before we let you go, what do you think

0:25:29.240 --> 0:25:31.320
<v Speaker 5>the lever will be? Because I feel like in the

0:25:31.359 --> 0:25:33.520
<v Speaker 5>last running season we did learn that the pricing power

0:25:33.600 --> 0:25:36.280
<v Speaker 5>of companies had kind of hit its max. Then the

0:25:36.400 --> 0:25:38.560
<v Speaker 5>levers to keep the margins going, what is it going

0:25:38.600 --> 0:25:38.720
<v Speaker 5>to be?

0:25:40.200 --> 0:25:40.320
<v Speaker 4>Well?

0:25:40.359 --> 0:25:44.480
<v Speaker 9>I think on the intermediate longer term, investors have to

0:25:44.560 --> 0:25:48.520
<v Speaker 9>realize that margins are at or close to all time highs,

0:25:49.480 --> 0:25:52.240
<v Speaker 9>and in terms of growing that and sustaining that gets

0:25:52.320 --> 0:25:56.200
<v Speaker 9>to be pretty tough. But companies will be looking at

0:25:56.760 --> 0:25:59.080
<v Speaker 9>you know, is there is somewhat of an easing end

0:25:59.119 --> 0:26:00.040
<v Speaker 9>because there was a lot.

0:25:59.880 --> 0:26:00.840
<v Speaker 6>Of pressure on.

0:26:02.480 --> 0:26:09.920
<v Speaker 9>Employee employee salaries and overall income and the hiring. You've

0:26:10.000 --> 0:26:13.720
<v Speaker 9>seen employment come into better balance, So hopefully people won't

0:26:13.760 --> 0:26:17.560
<v Speaker 9>be as pressure to offer substantial signing bonuses and.

0:26:19.119 --> 0:26:20.840
<v Speaker 6>Increases, although it would be.

0:26:20.880 --> 0:26:23.720
<v Speaker 9>Nice from a consumer standpoint to keep at least keep

0:26:23.760 --> 0:26:27.080
<v Speaker 9>pace with where the inflation rate is. So companies will

0:26:27.119 --> 0:26:31.119
<v Speaker 9>be parsing every item they have in terms of looking

0:26:31.200 --> 0:26:32.000
<v Speaker 9>at cost.

0:26:31.800 --> 0:26:35.320
<v Speaker 6>Efficiencies and where they can save a buck there.

0:26:35.400 --> 0:26:38.320
<v Speaker 9>But it'll be tough and as investors, we're going to

0:26:38.359 --> 0:26:41.280
<v Speaker 9>have to adjust to the fact that margins can't grow

0:26:41.320 --> 0:26:44.480
<v Speaker 9>to the moon anymore than stock price isn't necessarily.

0:26:44.000 --> 0:26:46.119
<v Speaker 2>Can Okay, Cal, thank you so much for joining us.

0:26:46.160 --> 0:26:48.800
<v Speaker 2>Really appreciate a Cowurchlafe. She's a chief investment officer PIMO

0:26:49.080 --> 0:26:51.359
<v Speaker 2>Family Office, and we appreciate getting some of our thoughts.

0:26:53.920 --> 0:26:57.760
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:26:57.880 --> 0:27:00.800
<v Speaker 1>weekdays at ten am Eastern on app car Play and

0:27:01.160 --> 0:27:04.160
<v Speaker 1>royd Otto with the Bloomberg Business. You can also listen

0:27:04.320 --> 0:27:07.359
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:27:07.800 --> 0:27:10.520
<v Speaker 1>Just say Alexa Play. Bloomberg eleven thirty.

0:27:12.240 --> 0:27:15.160
<v Speaker 5>President Joe Biden has gained some ground against Republican Donald

0:27:15.160 --> 0:27:18.560
<v Speaker 5>Trump in six and seven key swing states. So we

0:27:18.640 --> 0:27:21.560
<v Speaker 5>want to get more on this with Real Economy reporter

0:27:21.680 --> 0:27:24.960
<v Speaker 5>for Bloomberg, Mark Niquette. He's joining us on this poll.

0:27:25.359 --> 0:27:26.760
<v Speaker 5>What are the findings that you have?

0:27:28.880 --> 0:27:31.560
<v Speaker 11>Well, the poll shows it's a monthly tracking poll that

0:27:31.600 --> 0:27:33.560
<v Speaker 11>we've been doing since October, and it shows that Trump's

0:27:33.560 --> 0:27:36.120
<v Speaker 11>still doing pretty well in Georgia, Arizona, Nevada.

0:27:36.800 --> 0:27:38.960
<v Speaker 10>But the most significant findings is that.

0:27:41.200 --> 0:27:46.720
<v Speaker 11>Biden has improved his standing in Michigan, Wisconsin, and Pennsylvania,

0:27:46.840 --> 0:27:49.159
<v Speaker 11>sort of the blue Wall. I think these states are

0:27:49.200 --> 0:27:52.879
<v Speaker 11>going to decide the election, and he needs to win

0:27:53.000 --> 0:27:54.760
<v Speaker 11>these states if he's going to get a second term.

0:27:55.720 --> 0:27:59.360
<v Speaker 11>In Wisconsin, Biden now holds a one point lead over

0:27:59.440 --> 0:28:03.920
<v Speaker 11>Trump after trailing him by four points in February. In Pennsylvania,

0:28:04.080 --> 0:28:06.280
<v Speaker 11>the candidates are tied after Trump had a six point

0:28:06.359 --> 0:28:08.880
<v Speaker 11>lead in February, and they're also tied in Michigan.

0:28:09.600 --> 0:28:13.359
<v Speaker 2>Any common denominator here, Marcus to what might be driving

0:28:13.440 --> 0:28:14.520
<v Speaker 2>some of these poll numbers.

0:28:15.720 --> 0:28:17.760
<v Speaker 10>Well, the timing of the poll was interesting.

0:28:17.840 --> 0:28:22.920
<v Speaker 11>It was conducted March eighth through the fifteenth in the

0:28:22.960 --> 0:28:26.040
<v Speaker 11>swing states, and that March eighth is.

0:28:26.040 --> 0:28:29.960
<v Speaker 10>A day after Biden's State of the Union address, which was.

0:28:29.960 --> 0:28:33.600
<v Speaker 11>Pretty fiery and I think, you know, alleviated some Democratic

0:28:33.680 --> 0:28:37.359
<v Speaker 11>concerns about the president's age and his fitness.

0:28:37.080 --> 0:28:39.720
<v Speaker 10>To take on Trump a second time in a rematch.

0:28:40.840 --> 0:28:41.720
<v Speaker 10>And it's also.

0:28:43.040 --> 0:28:47.520
<v Speaker 11>Midway about March twelfth is Super Tuesday, when both Biden

0:28:47.680 --> 0:28:52.840
<v Speaker 11>and Trump sort of si clinch the respective nominations. They

0:28:52.880 --> 0:28:56.200
<v Speaker 11>got enough delegates to clinch, So it kind of really

0:28:56.320 --> 0:28:59.040
<v Speaker 11>made it a binary choice. You know, we knew this

0:28:59.160 --> 0:29:01.840
<v Speaker 11>was going to be the out, but I think the

0:29:01.960 --> 0:29:04.920
<v Speaker 11>Democrats in particular, we're thinking that until it was really

0:29:05.000 --> 0:29:07.520
<v Speaker 11>clear in voters minds that this was going to be

0:29:07.600 --> 0:29:11.560
<v Speaker 11>a rematch and it was Trump or Biden, that's their choices,

0:29:12.760 --> 0:29:14.800
<v Speaker 11>that Biden was not going to do as well in

0:29:14.880 --> 0:29:17.520
<v Speaker 11>the polls. So this is sort of the first poll

0:29:17.600 --> 0:29:20.360
<v Speaker 11>that we have clearly established that it's going to be

0:29:20.400 --> 0:29:21.480
<v Speaker 11>a Trump Biden rematch.

0:29:22.120 --> 0:29:25.360
<v Speaker 5>Are voters voting because they like the candidates or because

0:29:25.400 --> 0:29:26.400
<v Speaker 5>they don't like the other one?

0:29:28.560 --> 0:29:28.680
<v Speaker 10>Well?

0:29:28.800 --> 0:29:31.920
<v Speaker 11>Interestingly, our polls showed that in the case of Trump,

0:29:33.200 --> 0:29:35.000
<v Speaker 11>most of the support is coming from.

0:29:34.920 --> 0:29:40.440
<v Speaker 10>People who like Trump. Only three and ten Trump supporters

0:29:40.440 --> 0:29:43.400
<v Speaker 10>said they were voting for Trump because they didn't like Biden.

0:29:43.440 --> 0:29:47.920
<v Speaker 10>There essentially voting against Biden. But the case was different

0:29:48.040 --> 0:29:48.840
<v Speaker 10>for Biden.

0:29:49.400 --> 0:29:52.360
<v Speaker 11>About half the supporters of Biden's and they were voting

0:29:52.400 --> 0:29:54.840
<v Speaker 11>for the president essentially as a vote against Trump.

0:29:54.880 --> 0:29:56.560
<v Speaker 10>They didn't want to see Trump get back into the

0:29:56.600 --> 0:29:57.080
<v Speaker 10>White House.

0:29:57.400 --> 0:29:59.560
<v Speaker 11>There was even more pronounced in Wisconsin, were like six

0:29:59.640 --> 0:30:03.160
<v Speaker 11>and ten of the supporters of Biden, we're voting for him.

0:30:03.320 --> 0:30:05.160
<v Speaker 10>Because they were voting against.

0:30:04.880 --> 0:30:09.400
<v Speaker 5>Trumpet to that point, are those voters more sticky or not? Like,

0:30:09.560 --> 0:30:12.280
<v Speaker 5>is the anti vote stickier than the pro vote?

0:30:13.680 --> 0:30:13.920
<v Speaker 10>What is?

0:30:13.960 --> 0:30:16.360
<v Speaker 11>What we're going to find out is what's more motivating, right,

0:30:16.880 --> 0:30:20.480
<v Speaker 11>support for your candidate or desire not to see the

0:30:20.560 --> 0:30:24.560
<v Speaker 11>other candidate win. You know, I think Trump has benefited

0:30:24.640 --> 0:30:30.120
<v Speaker 11>over time from enthusiastic support from his base and base

0:30:30.200 --> 0:30:33.440
<v Speaker 11>turning out to support for him. But you know, the

0:30:33.560 --> 0:30:36.560
<v Speaker 11>negative feeling can also be a very strong motivating factor

0:30:37.160 --> 0:30:40.280
<v Speaker 11>and could drive folks to the polls, specifically to vote

0:30:40.280 --> 0:30:42.000
<v Speaker 11>against Donald Trump because they don't want to see him

0:30:42.000 --> 0:30:42.720
<v Speaker 11>back in the lighthouse.

0:30:43.000 --> 0:30:45.000
<v Speaker 10>We're going to find out what's more motivating, you know,

0:30:45.080 --> 0:30:47.680
<v Speaker 10>voting for your guy or voting against the other guy?

0:30:48.280 --> 0:30:51.320
<v Speaker 2>What is a polling show about some of these swing voters,

0:30:51.360 --> 0:30:54.240
<v Speaker 2>the more independent folks. What I've been told, or we've

0:30:54.240 --> 0:30:56.800
<v Speaker 2>been told by a lot of pollsters is that the

0:30:56.880 --> 0:30:58.840
<v Speaker 2>core Trump folks are going to stay with Trump no

0:30:59.000 --> 0:31:02.280
<v Speaker 2>matter what, and probably something similar on the Democratic side.

0:31:02.320 --> 0:31:05.120
<v Speaker 3>It's the folks in the middle. What do we know now?

0:31:06.880 --> 0:31:08.920
<v Speaker 11>I think we still don't know exactly how those folks

0:31:08.960 --> 0:31:11.520
<v Speaker 11>are going to play out, because we're We're particularly interested

0:31:11.640 --> 0:31:14.800
<v Speaker 11>in how suburban voters, particularly suburban women, are going to

0:31:14.880 --> 0:31:18.640
<v Speaker 11>vote in this election, and we've seen even in our

0:31:18.800 --> 0:31:22.960
<v Speaker 11>tracking poll, you know, changes in that subgroup, you know,

0:31:23.000 --> 0:31:27.480
<v Speaker 11>particularly in views about the economy. So I think we

0:31:27.600 --> 0:31:29.720
<v Speaker 11>have to get closer to the election to really see

0:31:29.840 --> 0:31:31.560
<v Speaker 11>how these folks are going to play out, and it's

0:31:31.600 --> 0:31:34.440
<v Speaker 11>going to be you know, maybe the deciding factor. You know,

0:31:34.520 --> 0:31:38.960
<v Speaker 11>how these independence and in particular suburban voters, you know,

0:31:39.160 --> 0:31:40.960
<v Speaker 11>decide between Trump and Biden.

0:31:40.960 --> 0:31:43.160
<v Speaker 10>And frankly, you know how motivated they are to turn

0:31:43.240 --> 0:31:45.080
<v Speaker 10>out because you know, particularly but.

0:31:45.280 --> 0:31:48.920
<v Speaker 11>Biden's going to win these these swing states, you know,

0:31:49.000 --> 0:31:54.480
<v Speaker 11>particularly Wisconsin, Pennsylvania, and Michigan, He's going to need a

0:31:54.680 --> 0:31:56.920
<v Speaker 11>very strong turnout in democratic cities.

0:31:57.080 --> 0:31:57.320
<v Speaker 9>MH.

0:31:58.080 --> 0:32:00.600
<v Speaker 5>Do what voters care about? Did that change Jital month

0:32:00.680 --> 0:32:01.000
<v Speaker 5>to month?

0:32:02.920 --> 0:32:05.840
<v Speaker 11>Interestingly, we saw a little bit of a decline in

0:32:06.000 --> 0:32:09.840
<v Speaker 11>the importance of the economy as a top issue for

0:32:10.000 --> 0:32:14.400
<v Speaker 11>voters and an increase in immigration as a top issue,

0:32:15.160 --> 0:32:18.000
<v Speaker 11>So sort of a listening of the economy and the

0:32:18.080 --> 0:32:22.480
<v Speaker 11>more heightened epsis on immigration, which presumably would be bad

0:32:22.560 --> 0:32:24.400
<v Speaker 11>news for President Biden.

0:32:26.160 --> 0:32:27.160
<v Speaker 10>But we also saw.

0:32:28.480 --> 0:32:32.400
<v Speaker 11>Folks who trust Trump more than Biden on the economy,

0:32:32.480 --> 0:32:34.840
<v Speaker 11>that that number go down a little bit. And also

0:32:35.200 --> 0:32:38.880
<v Speaker 11>the folks who feel they were better off financially under

0:32:39.000 --> 0:32:42.400
<v Speaker 11>Trump than Biden also that also go down a little bit.

0:32:42.760 --> 0:32:44.880
<v Speaker 11>So we're seeing a little bit of softening of the

0:32:45.000 --> 0:32:48.320
<v Speaker 11>advantage that Trump had on the economy and in particular

0:32:48.360 --> 0:32:50.000
<v Speaker 11>how voters feel about the economy.

0:32:50.480 --> 0:32:53.280
<v Speaker 2>Mark thirty seconds, how about the age issue. Both sides

0:32:53.280 --> 0:32:54.840
<v Speaker 2>are playing that up at the expense of the other.

0:32:56.720 --> 0:32:57.400
<v Speaker 10>Yeah, exactly.

0:32:57.640 --> 0:32:59.640
<v Speaker 11>And I think, you know, the one takeaway from this

0:32:59.760 --> 0:33:02.200
<v Speaker 11>pole is, you know, Biden has sort of helped in

0:33:02.280 --> 0:33:05.200
<v Speaker 11>that regard, I think primarily because of the State of

0:33:05.240 --> 0:33:06.040
<v Speaker 11>the Union address.

0:33:06.800 --> 0:33:09.080
<v Speaker 10>You know, age is still going to give a concern.

0:33:09.160 --> 0:33:11.240
<v Speaker 10>It will be a concern I think, you know, up

0:33:11.280 --> 0:33:11.960
<v Speaker 10>into the election.

0:33:13.000 --> 0:33:15.440
<v Speaker 11>But if nothing else, Democrats, i think, feel a little

0:33:15.520 --> 0:33:19.480
<v Speaker 11>more comfortable that it's not going to be a decisive

0:33:19.560 --> 0:33:21.320
<v Speaker 11>issue that's going to sing Biden's campaign.

0:33:22.080 --> 0:33:24.720
<v Speaker 5>All right, great stuff, Really appreciate it. Thank you very much.

0:33:24.720 --> 0:33:28.000
<v Speaker 5>We look forward to the next poll as well. Mark nqutte,

0:33:28.000 --> 0:33:30.920
<v Speaker 5>he's Bloomberg Real Economy reporter joining us in the latest

0:33:31.000 --> 0:33:34.000
<v Speaker 5>Morning Console poll. I want to see what apparently in

0:33:34.040 --> 0:33:36.920
<v Speaker 5>the poll too, Nikki Haley. Voters seemed to be moving

0:33:37.000 --> 0:33:41.000
<v Speaker 5>towards Trump, which I found to be quite interesting because like,

0:33:41.200 --> 0:33:44.000
<v Speaker 5>why I don't But then is that like an anti

0:33:44.040 --> 0:33:46.560
<v Speaker 5>Biden thing versus a true Trump, a pro Trump thing.

0:33:47.200 --> 0:33:47.920
<v Speaker 3>You know, it's interesting.

0:33:47.960 --> 0:33:49.360
<v Speaker 2>We'll have to see, we'll we get closer to the

0:33:49.440 --> 0:33:52.200
<v Speaker 2>election to see how some of these things start breaking.

0:33:52.320 --> 0:33:57.600
<v Speaker 1>Here this is the Bloomberg Intelligence podcast, available on Apple, Spotify,

0:33:57.800 --> 0:34:00.680
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0:34:00.800 --> 0:34:04.200
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0:34:04.520 --> 0:34:07.880
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0:34:08.040 --> 0:34:11.000
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