WEBVTT - Caterpillar Warns Tariff Impact Bigger Than Previously Seen

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>Dell reported fewer sales of AI servers, lower profit margins

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<v Speaker 2>and expected that's really taking a toll on shares. They're

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<v Speaker 2>down about nine percent. So you want someone who could

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<v Speaker 2>break it all down for us. Let's bring in Woojin Ho,

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<v Speaker 2>Bloomberg Intelligence senior technology analysts joining us from Princeton. Woojin,

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<v Speaker 2>welcome back to the show. I want to start broader.

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<v Speaker 2>So taking these results into consideration, I mean, is it

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<v Speaker 2>showing that the AI rally has has more room to

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<v Speaker 2>run or not? I mean, what are you hearing?

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<v Speaker 3>And in terms of the AI rally in general, I

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<v Speaker 3>mean we saw in videos numbers and video is actually

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<v Speaker 3>doing quiet well. I mean if you ex out to

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<v Speaker 3>China outlook right, the demand is still robust and this

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<v Speaker 3>actually flows through to Dell. If anything, the AI numbers

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<v Speaker 3>for a server numbers were better than expected in the quarter,

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<v Speaker 3>and they also raised their guidance by another full year

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<v Speaker 3>guidance by another five billion, So instead of fifteen billion

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<v Speaker 3>for the year, they're expecting twenty billion for the year,

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<v Speaker 3>and add more of these sovereign and neocloud deployment start

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<v Speaker 3>ramping up. You know, twenty twenty six AI server revenue

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<v Speaker 3>should be better for Dell given how they're positioned.

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<v Speaker 4>So then can you try to explain why this stock

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<v Speaker 4>is down nine percent? I mean, Dell just said it

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<v Speaker 4>now plans to ship twenty billion dollars of artificial intelligence

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<v Speaker 4>servers in fiscal twenty twenty six, double what it sold

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<v Speaker 4>last year. What is upsetting investors?

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<v Speaker 3>Yeah, So, so there's a couple of things. Let's start

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<v Speaker 3>on the AI server piece first. I've always said and

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<v Speaker 3>Dell is we'll contend to it. Having Aisells is double

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<v Speaker 3>edged sword. What you're getting in sales, you kind of

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<v Speaker 3>lose out on gross margin. So let me give you

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<v Speaker 3>an example. From a gross margin standpoint, traditional servers as

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<v Speaker 3>well as storage combined are roughly in the you know,

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<v Speaker 3>the twenties to thirties range, right. AI servers they're they're

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<v Speaker 3>closer to the mid teens range, right, So from an

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<v Speaker 3>operating margin standpoint, it actually is somewhat earnings deluded to

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<v Speaker 3>some degree if you sell way too much AI servers.

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<v Speaker 3>So you know, the one point two billion AI server

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<v Speaker 3>beat that only equated to two cents in an EPs.

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<v Speaker 3>So what Della has been saying for quite some time now,

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<v Speaker 3>don't focus on operating margin because that's that's what they missed.

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<v Speaker 3>Focus on the operating margin dollars. That's fantastic, But you know,

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<v Speaker 3>the you know, the the incremental five billion for the

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<v Speaker 3>year isn't going to be the big boost the EPs

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<v Speaker 3>that people are hoping for.

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<v Speaker 2>A big concern for investors is at the profitability of

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<v Speaker 2>AI servers. I mean they run on processors from companies

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<v Speaker 2>like Nvideo, A m D right, which are which are

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<v Speaker 2>pretty pricey. I mean, should they be worried about that?

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<v Speaker 3>Well, you know, the hope is is that once we

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<v Speaker 3>start moving away from these hyper scale and neocloud type

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<v Speaker 3>of deals, right because they're selling you know, fifty fifty

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<v Speaker 3>thousand servers plus to each of these each of these companies,

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<v Speaker 3>you know, they're not going to get as much they're

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<v Speaker 3>they're heavily discounted. But if they start selling to the

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<v Speaker 3>enterprise over time, the gross margin profile should get better

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<v Speaker 3>and be more in line with traditional service. Now, that's

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<v Speaker 3>going to take a couple of years to materialize. But

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<v Speaker 3>the more important thing is if we think about it

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<v Speaker 3>from a longer term perspective, as long as Dell is

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<v Speaker 3>ahead of from from a competitive standpoint, they should continue

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<v Speaker 3>to win this AI game, not only on the neocloud side,

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<v Speaker 3>but also on the enterprise side, which should help profitability

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<v Speaker 3>longer term. But you're gonna have to wait.

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<v Speaker 4>And you know, when I did a little more digging

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<v Speaker 4>into this earnings report, I found that Dell spent one

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<v Speaker 4>point three billion dollars on share repurchases and dividends during

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<v Speaker 4>the quarter. That's an enviable position to be in. But

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<v Speaker 4>do you think it's the best use of Dell's money?

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<v Speaker 3>Well, so, I think they've They've they've always been since

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<v Speaker 3>they came back to public and then spun off the

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<v Speaker 3>VMware business. They've been very focused on shareholder returns. Right now,

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<v Speaker 3>if you think about from a valuation standpoint, you know,

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<v Speaker 3>M and A is probably going to be something that's

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<v Speaker 3>going to be tough for them to do. They've already

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<v Speaker 3>learned a lesson from big m and A with a

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<v Speaker 3>VMware deal, and which is one of the reasons why

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<v Speaker 3>they spunted out. So if from a shareholder standpoint, if

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<v Speaker 3>there's nothing that Dell can buy, I'd rather have it

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<v Speaker 3>back in dividends and and buybacks. How is it changing, sure,

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<v Speaker 3>like a day like today?

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<v Speaker 4>Well yeah, oh yeah.

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<v Speaker 2>How is how is Dell shaping up against its competitors,

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<v Speaker 2>Let's say, like an HP or super micro computer.

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<v Speaker 3>Yeah, so so let's let me take it from a

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<v Speaker 3>two standpoints. Right from super Micro, we're thinking about it

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<v Speaker 3>more along the lines from AI servers. Super Micro still

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<v Speaker 3>leads the way in the AI server market. Now, one

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<v Speaker 3>of the things that we can glean from the numbers

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<v Speaker 3>is that Dell has been heavily discounting to win to

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<v Speaker 3>win its market share, and they actually have the financial

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<v Speaker 3>have to do so with a strong balance sheet. Now,

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<v Speaker 3>from an HP standpoint, this is more personal computing side,

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<v Speaker 3>and this is one of the This is another reason

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<v Speaker 3>why the shares may be pulling back a little bit

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<v Speaker 3>their PC growth. That segment only grew one percent, and

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<v Speaker 3>on contrast, HP grew five percent. So there's a lot

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<v Speaker 3>of questions in terms of the competitive nature for Dell

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<v Speaker 3>versus HP on the PC market. Now that being said,

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<v Speaker 3>what we can glean from the guide and it is

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<v Speaker 3>the second half of this calendar year. HP should get

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<v Speaker 3>back on track from back to school spending as well

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<v Speaker 3>as Windows eleven upgrade, So I think they should do

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<v Speaker 3>about five percent growth in the second half of the year.

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<v Speaker 4>In the seconds we have left, can you tell us

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<v Speaker 4>how Dell is stacking up against the competition, namely HP.

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<v Speaker 3>Yeah, so from a PC stamp from HP, you know,

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<v Speaker 3>HP is actually winning the game over the last couple

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<v Speaker 3>of quarters, but it's going to be neck and neck

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<v Speaker 3>over the next couple of years. But from an AI

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<v Speaker 3>and a server standpoint, Dell should be fine.

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<v Speaker 2>And in the last minute we have where does Dell

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<v Speaker 2>go from here? I mean, what should their focus be?

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<v Speaker 3>Oh, I really do think it should be on the

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<v Speaker 3>traditional server side as well as source side with AI,

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<v Speaker 3>because they're all going to be melded into one type

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<v Speaker 3>of business going forward, and the Dell's well positioned their

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<v Speaker 3>longer term.

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<v Speaker 2>Stay with us for more Bloomberg Intelligence coming.

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<v Speaker 1>Up after this, you're listening to the Bloomberg Intelligence podcast.

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<v Speaker 1>Catch us live weekdays at ten am. He's Dene on Apple,

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<v Speaker 1>Cocklay and Android Auto with the Bloomberg Business app, listen

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<v Speaker 1>on demand wherever you get your podcasts, or watch us

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<v Speaker 1>live on YouTube.

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<v Speaker 4>One of the big movers today is Caterpillar. Mover to

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<v Speaker 4>the downside, that is off nearly four percent right now.

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<v Speaker 4>It's warning investors that tariffs are expected to have an

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<v Speaker 4>even greater impact, take an even bigger bite out of

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<v Speaker 4>its bottom line, expected to cost CAT as much as

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<v Speaker 4>one point eight billion dollars this year. Let's dig into

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<v Speaker 4>it a little more with Christopher Ciolino. He is Bloomberg

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<v Speaker 4>Intelligence Senior US Machinery analyst. So what is it about

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<v Speaker 4>this report that's got investors in a tizzy?

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<v Speaker 5>Well, you're right, I mean, tariff's will be a bigger

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<v Speaker 5>cost headwind this year, more than KAT previously expected. And

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<v Speaker 5>the revision really seems to be driven by additional clarifications

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<v Speaker 5>around the Section two thirty two steal in aluminum tariffs

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<v Speaker 5>and some of the reciprocal rates on India as you

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<v Speaker 5>alluded to. You know, KAT thinks these TIFFs could be

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<v Speaker 5>you know, up to a one point eight billion dollar

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<v Speaker 5>impact in twenty twenty five. That's up you know, two

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<v Speaker 5>to three hundred million versus their prior view, so a

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<v Speaker 5>little bit higher. So you know, even though that we're

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<v Speaker 5>looking at these incremental costs this year, we think it's

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<v Speaker 5>pretty easily digestible for CAT and probably represents, you know,

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<v Speaker 5>the peak headwind that we'll likely see. They really haven't

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<v Speaker 5>implemented significant cost mitigation or pricing actions yet. I suspect

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<v Speaker 5>you'll see more of those measured than twenty twenty six,

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<v Speaker 5>which could ultimately offset these impacts.

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<v Speaker 2>So is it steal an aluminum? Is that the main focus?

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<v Speaker 5>Yeah, we think so. So we did get an update

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<v Speaker 5>on the section two thirty two taraffs for steel and

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<v Speaker 5>aluminum that expanded the coverage to you know, I think

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<v Speaker 5>an additional four hundred different products. So you know, we

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<v Speaker 5>had CAT report earlier this month and we had that

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<v Speaker 5>subsequent update, So I think that's probably the big driver

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<v Speaker 5>behind it. Obviously, heavy machinery companies use a lot of

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<v Speaker 5>steel and aluminum. It's their largest input costs, so that

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<v Speaker 5>certainly does move the needle.

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<v Speaker 4>We're talking about headwinds, but what about tailwinds any of

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<v Speaker 4>those for Caterpillar.

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<v Speaker 5>Yeah, you know, despite some of these near term costs headwinds,

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<v Speaker 5>I don't think it really ultimately changes the narrative here.

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<v Speaker 5>You know, we're still quite optimistic that earnings are going

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<v Speaker 5>to bottom this year. There's a number of cyclical and

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<v Speaker 5>secular tailwinds that we think are going to drive higher

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<v Speaker 5>earnings in twenty six and twenty seven. The backlocks is

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<v Speaker 5>sitting at a record high. We've seen very solid order

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<v Speaker 5>trends these past you know, four quarters, and dealer inventories

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<v Speaker 5>remain at you know, pretty healthy levels considering softness in

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<v Speaker 5>the broader economy. So all of these are really positive

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<v Speaker 5>leading indicators for Caterpillar.

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<v Speaker 2>And Chris, you follow this company very closely. So when

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<v Speaker 2>we have an economics flowdown, what segments of Caterpillar's business

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<v Speaker 2>tend to hold up the best.

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<v Speaker 5>So right now, the segment holding up the best would

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<v Speaker 5>be their E and T or energy and transportation business,

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<v Speaker 5>and really I think the big driver behind that is

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<v Speaker 5>power generation, particularly on the data center side. Those are

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<v Speaker 5>much longer cycle products have you know, very extended backlogs

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<v Speaker 5>for many years. Caterpillars adding capacity there, so we've seen

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<v Speaker 5>that business hold up very well. On the flip side,

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<v Speaker 5>the more cyclical construction industry's business is probably the one

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<v Speaker 5>more harder hit, and also their resource industry's business, which

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<v Speaker 5>is a lot of mining equipment that's been a little

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<v Speaker 5>softer as well. But you know, I think, you know,

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<v Speaker 5>if we're looking at a lower rate environment moving forward,

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<v Speaker 5>we're certainly a little bit more optimistic on some of

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<v Speaker 5>the growth prospects and those two businesses moving forward.

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<v Speaker 2>Stay with us for more Bloomberg Intelligence coming up after this.

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

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<v Speaker 1>weekdays at ten am Eastern on apple Cock and Android

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<v Speaker 1>Auto with the Blue Work Business app. Listen on demand

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<v Speaker 1>wherever you get your podcasts, or watch us live on YouTube.

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<v Speaker 4>In Video and AI, it was out with earnings this

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<v Speaker 4>week and it impressed with more proof that that AI

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<v Speaker 4>spending continues to be strong. I want to talk more

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<v Speaker 4>about AI in the real world with Binran. He is

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<v Speaker 4>founder and CEO at the software company sig Tech. He

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<v Speaker 4>joins us from London. Ben, thanks so much for being

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<v Speaker 4>with us. Before we get into Sigtech and what you

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<v Speaker 4>do with AI agents, we'll get into what all of

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<v Speaker 4>that is. I just want your take your thoughts on

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<v Speaker 4>In Video's earnings report this week.

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<v Speaker 6>I think we are seeing unprecedented demand for AI services,

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<v Speaker 6>AI inference. If you look at the you know, not

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<v Speaker 6>only the hyperscaters, purchasing GPUs and building data centers.

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<v Speaker 7>It's keep going up.

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<v Speaker 6>And if you look at the consumptions of tokens by

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<v Speaker 6>large language model providers such as Opening Ai and Google

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<v Speaker 6>and the Anthropic, it's growing at one hundred percent every

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<v Speaker 6>six months. So the adoption, the usage, the consumption is

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<v Speaker 6>all going up the trend. There's no no reason why

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<v Speaker 6>it's going to slow down or certainly all stopping.

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<v Speaker 2>We've heard a lot about different types of AI. Jen

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<v Speaker 2>AI is a huge one. I mean, I know everyone's

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<v Speaker 2>on the CHADGBT or whatever whatever else you have, but

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<v Speaker 2>do generic AI tools They can help out in a

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<v Speaker 2>lot of fields. But what about financial institutions, I mean

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<v Speaker 2>you focus more on on custom AI?

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<v Speaker 6>Is that correct?

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<v Speaker 7>Yeah?

0:12:39.800 --> 0:12:43.920
<v Speaker 6>We focused on building entirely bespoke and custom AI agents

0:12:43.920 --> 0:12:47.480
<v Speaker 6>for customers in capital markets. I think people now one

0:12:47.559 --> 0:12:51.480
<v Speaker 6>hundreds of millions of people have used CHGBT, so we all

0:12:51.520 --> 0:12:54.880
<v Speaker 6>have a good idea of you know, what a chat

0:12:54.960 --> 0:12:58.920
<v Speaker 6>bolt can do for us, which is extremely useful. But

0:12:58.960 --> 0:13:02.840
<v Speaker 6>when it comes to business is there's an increasing gap

0:13:03.400 --> 0:13:07.439
<v Speaker 6>between what the large language models are capable of and

0:13:07.640 --> 0:13:11.840
<v Speaker 6>what actually value users in businesses are getting out of

0:13:13.000 --> 0:13:16.960
<v Speaker 6>the getting out of the applications using using the same models.

0:13:17.840 --> 0:13:20.920
<v Speaker 6>You know, the large nugree model capability has been improving

0:13:22.120 --> 0:13:30.839
<v Speaker 6>dramatically and frankly the probably the most improved applications unfortunately

0:13:30.920 --> 0:13:34.440
<v Speaker 6>have been restricted to only a few areas, mainly about

0:13:35.120 --> 0:13:40.520
<v Speaker 6>writing code. That that has been the killer app outside chatboard.

0:13:41.120 --> 0:13:44.800
<v Speaker 6>In finance, the difficulty is there actually there are many

0:13:44.800 --> 0:13:48.600
<v Speaker 6>different reasons why the application is not delivering the kind

0:13:48.600 --> 0:13:51.480
<v Speaker 6>of potential we are expecting. One of the reasons is

0:13:52.320 --> 0:13:56.000
<v Speaker 6>in finance we use a lot of private data that

0:13:56.440 --> 0:13:59.160
<v Speaker 6>the large language models are mainly trained on public data.

0:14:00.000 --> 0:14:04.400
<v Speaker 6>And then the question of how to converting the vast

0:14:04.480 --> 0:14:09.600
<v Speaker 6>corpus of financial documents in PDFs, in world documents in

0:14:09.679 --> 0:14:15.040
<v Speaker 6>excels into the right formats that actually can be effectively

0:14:15.200 --> 0:14:20.920
<v Speaker 6>used by large language models. Any error English data conversion

0:14:21.320 --> 0:14:27.120
<v Speaker 6>document processing pipeline will immediately result in very pro qualities

0:14:27.280 --> 0:14:32.200
<v Speaker 6>downstream and in other areas. In finance, we prontion numbers,

0:14:32.640 --> 0:14:35.880
<v Speaker 6>and the large language models are very bad at cremching

0:14:35.960 --> 0:14:39.400
<v Speaker 6>numbers right and it's probably the most expensive calculator we

0:14:39.440 --> 0:14:39.920
<v Speaker 6>can think of.

0:14:40.880 --> 0:14:42.240
<v Speaker 7>So to make large.

0:14:42.160 --> 0:14:45.960
<v Speaker 6>Nuguerte models working in finance we have to provide a

0:14:46.280 --> 0:14:51.080
<v Speaker 6>very wide range of financial tools. These tools can be software,

0:14:51.280 --> 0:14:55.400
<v Speaker 6>can be APIs, can be desktop applications. Then we have

0:14:55.480 --> 0:14:58.880
<v Speaker 6>to train models to use them, and there are other

0:14:59.200 --> 0:15:01.880
<v Speaker 6>challenges to Yeah, that's why everything has to be bespoke.

0:15:02.720 --> 0:15:05.400
<v Speaker 4>Then we keep hearing that AI is going to be

0:15:05.480 --> 0:15:08.600
<v Speaker 4>a job killer, and we're already seeing it. Frankly, a

0:15:08.600 --> 0:15:12.920
<v Speaker 4>lot of you know, entry level positions being taken over

0:15:12.960 --> 0:15:15.920
<v Speaker 4>by AI. That means a lot of recent graduates from

0:15:15.960 --> 0:15:18.320
<v Speaker 4>college or finding it even harder to find a job

0:15:18.360 --> 0:15:22.800
<v Speaker 4>in unemployment during and amidst that demographics about six percent

0:15:22.880 --> 0:15:24.680
<v Speaker 4>right now versus you know, a little more than four

0:15:24.720 --> 0:15:28.000
<v Speaker 4>percent for the rest of us. So what what how

0:15:28.040 --> 0:15:30.120
<v Speaker 4>do you see the future of work looking and how

0:15:30.120 --> 0:15:31.120
<v Speaker 4>does AI play a part?

0:15:33.920 --> 0:15:38.360
<v Speaker 6>I think whatever, there's you know, unprecedented new technology coming along,

0:15:38.440 --> 0:15:39.760
<v Speaker 6>so transformative and.

0:15:39.800 --> 0:15:42.000
<v Speaker 7>So disruptive like AI.

0:15:42.240 --> 0:15:46.240
<v Speaker 6>But previously there was internet, there was industrial revolution, there

0:15:46.360 --> 0:15:50.440
<v Speaker 6>was the invention of airplanes and cars. I mean, inevitably

0:15:50.560 --> 0:15:53.680
<v Speaker 6>some jobs will be killed, I guess you can say that,

0:15:54.080 --> 0:15:57.240
<v Speaker 6>but there will be new jobs created. I think the

0:15:57.320 --> 0:16:01.360
<v Speaker 6>key here is to understand from them mentally what AI

0:16:01.440 --> 0:16:05.520
<v Speaker 6>can do and what AI cannot do and what makes

0:16:05.600 --> 0:16:10.000
<v Speaker 6>us by us, I mean humans special. AI is very

0:16:10.040 --> 0:16:18.320
<v Speaker 6>good at doing repetitive, non non creative work, non creative

0:16:18.560 --> 0:16:24.760
<v Speaker 6>knowledge work. Humans we are uniquely equipped to be creative

0:16:24.920 --> 0:16:28.720
<v Speaker 6>and imaginative. And also, by the way you you probably

0:16:28.760 --> 0:16:31.760
<v Speaker 6>know that AI is really bad at telling a.

0:16:31.760 --> 0:16:34.200
<v Speaker 7>Joke, a good joke, and there's a reason for.

0:16:34.200 --> 0:16:39.960
<v Speaker 6>It, because AI is trained to predict the next the

0:16:40.000 --> 0:16:43.640
<v Speaker 6>next most likely word, the word by word, and to

0:16:43.800 --> 0:16:46.560
<v Speaker 6>deliver a good joke, and the punchline has to be

0:16:46.600 --> 0:16:48.480
<v Speaker 6>surprising and the witty.

0:16:48.640 --> 0:16:50.040
<v Speaker 7>So it's large number.

0:16:50.120 --> 0:16:52.160
<v Speaker 6>Models are literally not trained to be able to tell

0:16:52.200 --> 0:16:58.600
<v Speaker 6>a good joke. So all the comedians and they have

0:16:58.720 --> 0:17:01.480
<v Speaker 6>right own stuff, and they have to have inspiration, they

0:17:01.520 --> 0:17:04.800
<v Speaker 6>have to have new experiences, imagination and creativity. I think

0:17:04.800 --> 0:17:08.440
<v Speaker 6>that's probably a good room model for the future work.

0:17:08.480 --> 0:17:12.400
<v Speaker 6>Look like we can spend more time on being imaginative

0:17:12.440 --> 0:17:17.000
<v Speaker 6>and creative and frankly more intellectually satisfying, and less time

0:17:17.080 --> 0:17:20.080
<v Speaker 6>on things frankly we don't wake up and be excited about.

0:17:20.440 --> 0:17:23.520
<v Speaker 2>Stay with us for more Bloomberg Intelligence coming up after this.

0:17:26.080 --> 0:17:29.760
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us Live

0:17:29.840 --> 0:17:32.960
<v Speaker 1>weekdays at ten am Eastern on Apple, Cocklay and Android

0:17:32.960 --> 0:17:36.280
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:17:36.320 --> 0:17:39.960
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:17:40.440 --> 0:17:42.560
<v Speaker 4>Want to switch gears for a minute and talk about

0:17:42.600 --> 0:17:46.840
<v Speaker 4>the sleepy summer for the housing market would be home buyers.

0:17:46.880 --> 0:17:48.680
<v Speaker 4>We know they've been staying on the sideline, so they're

0:17:48.680 --> 0:17:50.800
<v Speaker 4>waiting for mortgage rates to come down. They're waiting for

0:17:51.320 --> 0:17:54.840
<v Speaker 4>housing prices to come down. So will they And when

0:17:55.400 --> 0:17:58.359
<v Speaker 4>Best Friedman, she's been looking into her crystal ball, we

0:17:58.480 --> 0:18:01.720
<v Speaker 4>called her in for some help. EO at Brown, Harris Stevens,

0:18:02.200 --> 0:18:04.239
<v Speaker 4>that's always good to see you. Thanks so much for

0:18:04.359 --> 0:18:07.080
<v Speaker 4>joining us. So let's just start with a reality check.

0:18:07.480 --> 0:18:10.359
<v Speaker 4>Are things improving? I mean I heard that inventory was

0:18:10.400 --> 0:18:12.639
<v Speaker 4>starting to beef up a little bit, So are you

0:18:12.640 --> 0:18:14.360
<v Speaker 4>seeing some pockets of improvement?

0:18:15.359 --> 0:18:17.640
<v Speaker 8>You know, it's interesting. Good morning, so nice to see

0:18:17.640 --> 0:18:19.800
<v Speaker 8>you as well. Thanks for having me. I think we

0:18:19.840 --> 0:18:22.399
<v Speaker 8>see a step forward and then a step back. And

0:18:22.440 --> 0:18:25.800
<v Speaker 8>I would describe our housing market at least through the summer,

0:18:25.840 --> 0:18:30.199
<v Speaker 8>it's very frustrating people buyers and sellers couldn't get on

0:18:30.200 --> 0:18:35.000
<v Speaker 8>the same page. You know, for buyers things have become unaffordable.

0:18:35.080 --> 0:18:37.880
<v Speaker 8>Rates are too high. Sellers aren't budging on their prices.

0:18:37.920 --> 0:18:40.960
<v Speaker 8>They're taking their homes off the market. So there's been

0:18:41.000 --> 0:18:43.480
<v Speaker 8>a little bit of that, and it's gradual. You know,

0:18:43.520 --> 0:18:46.680
<v Speaker 8>we definitely performed better this year than we did last year.

0:18:46.760 --> 0:18:51.640
<v Speaker 8>It's a better housing market. But having said that, it's

0:18:51.760 --> 0:18:53.320
<v Speaker 8>it's going to take a little bit of time. And

0:18:53.359 --> 0:18:56.639
<v Speaker 8>I know that everybody's expecting or thinking that the FED

0:18:56.760 --> 0:19:01.320
<v Speaker 8>is going to cut the FED fund rate in September.

0:19:01.440 --> 0:19:04.200
<v Speaker 8>Maybe we'll have to see how the jobs report comes out.

0:19:04.720 --> 0:19:07.280
<v Speaker 8>But you know, even that, you know, I don't know

0:19:07.320 --> 0:19:08.960
<v Speaker 8>that's going to have a dramatic impact.

0:19:09.000 --> 0:19:11.080
<v Speaker 7>It's going to take time for us to come.

0:19:10.880 --> 0:19:15.120
<v Speaker 8>To a better place where we see supply and demand intersecting.

0:19:15.200 --> 0:19:19.160
<v Speaker 8>That's a healthy market, and we don't really have that best.

0:19:19.200 --> 0:19:21.680
<v Speaker 2>I have to tell you, I've been kind of caught

0:19:21.720 --> 0:19:23.560
<v Speaker 2>in the middle of all this. I mean, I was

0:19:23.560 --> 0:19:25.800
<v Speaker 2>trying to find a home. I've been out bid by

0:19:25.840 --> 0:19:28.280
<v Speaker 2>like one hundred and seventy thousand dollars in New Jersey.

0:19:28.359 --> 0:19:29.680
<v Speaker 7>I mean, it was rough.

0:19:30.520 --> 0:19:32.920
<v Speaker 2>So can you break it down as far as areas

0:19:32.920 --> 0:19:35.439
<v Speaker 2>of the US right, what areas are are home selling

0:19:35.480 --> 0:19:38.000
<v Speaker 2>at a faster pace or or maybe what areas have

0:19:38.160 --> 0:19:39.080
<v Speaker 2>more inventory.

0:19:40.440 --> 0:19:43.360
<v Speaker 7>I mean, every real estate market is so local. I'm

0:19:43.400 --> 0:19:48.040
<v Speaker 7>sorry that you have that experience. I'm still there are areas.

0:19:48.320 --> 0:19:51.320
<v Speaker 8>I'll give you an example and market that is completely

0:19:51.359 --> 0:19:53.960
<v Speaker 8>on fire. There's no inventory and there's bidding wars. Is

0:19:54.080 --> 0:19:58.960
<v Speaker 8>Upstate New York, Rinebeck. You can't find anything. Whatever comes on,

0:19:59.040 --> 0:20:01.040
<v Speaker 8>there's a bidding war, similar to what happened to you

0:20:01.080 --> 0:20:05.000
<v Speaker 8>in New Jersey. Places like Montclair, New Jersey, very popular,

0:20:05.119 --> 0:20:10.119
<v Speaker 8>a really strong market, and you know, people get discouraged

0:20:10.119 --> 0:20:12.480
<v Speaker 8>when they walk in they see twenty people there waiting,

0:20:12.520 --> 0:20:14.480
<v Speaker 8>and then they know there's going to be multiple bids

0:20:14.520 --> 0:20:17.280
<v Speaker 8>and rates are higher. Price is now going to be higher,

0:20:17.320 --> 0:20:19.880
<v Speaker 8>and so you know, that's very tough. But that's more

0:20:19.920 --> 0:20:23.560
<v Speaker 8>the exception to the rule. Palm Beach is similar, but

0:20:23.680 --> 0:20:26.439
<v Speaker 8>other places like New York is a pretty steady market.

0:20:26.440 --> 0:20:29.840
<v Speaker 8>In New York City right now, the market has been decent,

0:20:30.040 --> 0:20:33.919
<v Speaker 8>not great. The rental market really strong. That's all I

0:20:33.960 --> 0:20:36.600
<v Speaker 8>hear about is people cannot afford to rent in New York.

0:20:36.880 --> 0:20:40.960
<v Speaker 8>There's no vacancies. So it really depends on what's going

0:20:41.000 --> 0:20:44.439
<v Speaker 8>on with supply and demand in the market. Like in Connecticut,

0:20:44.480 --> 0:20:48.640
<v Speaker 8>for example, also really strong demand and lack of supply,

0:20:49.320 --> 0:20:51.639
<v Speaker 8>and so that's starting.

0:20:51.680 --> 0:20:54.040
<v Speaker 7>We're starting to see more inventory come on and so

0:20:54.119 --> 0:20:55.000
<v Speaker 7>that's a good thing.

0:20:55.200 --> 0:20:57.480
<v Speaker 8>And so hopefully if we get a little bit of

0:20:57.760 --> 0:20:59.520
<v Speaker 8>if rates come down a little bit they have come

0:20:59.560 --> 0:21:02.600
<v Speaker 8>down a little bit, that might inspire more buyers to

0:21:02.640 --> 0:21:05.800
<v Speaker 8>get into the market. But it's gonna it's tough. I'm

0:21:05.840 --> 0:21:08.920
<v Speaker 8>sorry that you had that experience. You know, in due time,

0:21:09.000 --> 0:21:10.960
<v Speaker 8>something will come on that you love and you will

0:21:11.000 --> 0:21:12.480
<v Speaker 8>find it and you will bid on it.

0:21:13.240 --> 0:21:13.520
<v Speaker 7>Bess.

0:21:13.680 --> 0:21:16.720
<v Speaker 4>I want your thoughts on a trend we're continuing to

0:21:16.760 --> 0:21:20.320
<v Speaker 4>see grow, and that is corporations backed by private equity

0:21:20.359 --> 0:21:24.520
<v Speaker 4>groups now buying up single family homes. So folks are

0:21:24.560 --> 0:21:27.840
<v Speaker 4>not only competing against other would be home buyers, they're

0:21:27.880 --> 0:21:30.680
<v Speaker 4>competing against the big guns, these institutional investors. I saw

0:21:30.720 --> 0:21:34.280
<v Speaker 4>this one report from MetLife Investment Management. Get this, They

0:21:34.280 --> 0:21:38.359
<v Speaker 4>say investors, institutional investors may control forty percent of the

0:21:38.440 --> 0:21:41.879
<v Speaker 4>single family rental home market by twenty thirty. How's the

0:21:41.880 --> 0:21:44.320
<v Speaker 4>little guys supposed to compete with that?

0:21:44.320 --> 0:21:45.840
<v Speaker 7>That's really hard. I don't know.

0:21:45.880 --> 0:21:48.800
<v Speaker 8>And we are and we have housing shortage in the

0:21:48.880 --> 0:21:49.720
<v Speaker 8>United States.

0:21:49.760 --> 0:21:51.920
<v Speaker 7>You know, we're we need to build.

0:21:52.000 --> 0:21:54.879
<v Speaker 8>We need four million homes here, So I don't know,

0:21:54.960 --> 0:21:57.879
<v Speaker 8>that's not a good sign. Because people find that they

0:21:57.920 --> 0:22:01.320
<v Speaker 8>can't afford rent, they can't afford to buy, and so

0:22:01.359 --> 0:22:03.720
<v Speaker 8>we need to figure out ways to work together with

0:22:03.800 --> 0:22:07.760
<v Speaker 8>our state and local officials to make rules and legislation

0:22:07.840 --> 0:22:10.240
<v Speaker 8>that makes sense so that people can afford to buy

0:22:10.320 --> 0:22:11.600
<v Speaker 8>and can afford to rent.

0:22:12.040 --> 0:22:14.560
<v Speaker 7>And so yeah, the little guy matters.

0:22:14.600 --> 0:22:16.880
<v Speaker 8>We have to make sure that everyday people can afford

0:22:16.920 --> 0:22:20.000
<v Speaker 8>to pursue their dream, which is to buy a home

0:22:20.119 --> 0:22:22.600
<v Speaker 8>or to rent the home, whatever it is. It's really

0:22:22.600 --> 0:22:25.119
<v Speaker 8>important and we've lost a little bit of that in

0:22:25.160 --> 0:22:28.080
<v Speaker 8>the last five years, and I would love to see

0:22:28.119 --> 0:22:32.280
<v Speaker 8>that switch direction. I'm happy to be part of those discussions.

0:22:31.920 --> 0:22:33.920
<v Speaker 2>And best in the last minute we have here. How

0:22:33.960 --> 0:22:36.320
<v Speaker 2>are the builders doing? I mean, how is the sentiment

0:22:36.359 --> 0:22:38.680
<v Speaker 2>among the builders or building these homes?

0:22:39.800 --> 0:22:43.320
<v Speaker 8>You know, it's a great question and it depends, you know.

0:22:43.400 --> 0:22:45.760
<v Speaker 8>I'll give you a real example. A few months ago,

0:22:45.800 --> 0:22:48.840
<v Speaker 8>as working friend of mine, builder developer New York City,

0:22:48.960 --> 0:22:51.840
<v Speaker 8>was looking at a site, very excited. He wanted to

0:22:51.840 --> 0:22:54.520
<v Speaker 8>buy the site to develop it. And then the primary

0:22:54.600 --> 0:22:58.360
<v Speaker 8>came out and it looks like and whether your politics

0:22:58.400 --> 0:23:01.200
<v Speaker 8>are I don't care, but it looks so potentially Mom

0:23:01.280 --> 0:23:02.640
<v Speaker 8>Donnie might win in New York.

0:23:02.720 --> 0:23:03.840
<v Speaker 7>It's a possibility.

0:23:04.119 --> 0:23:06.560
<v Speaker 8>And so he got squee mission backed away from it,

0:23:07.000 --> 0:23:10.560
<v Speaker 8>and so but another developer came in and ended up

0:23:10.560 --> 0:23:11.359
<v Speaker 8>buying the site.

0:23:11.400 --> 0:23:12.600
<v Speaker 7>It just really depends.

0:23:12.680 --> 0:23:15.600
<v Speaker 8>People are very emotional when it comes to these things,

0:23:15.600 --> 0:23:17.439
<v Speaker 8>and it depends how they feel. If they think the

0:23:17.480 --> 0:23:20.160
<v Speaker 8>market's going to be good or strong, they'll invest.

0:23:20.640 --> 0:23:23.280
<v Speaker 7>And builders are the same. It's pencils down. If they think.

0:23:23.240 --> 0:23:27.280
<v Speaker 8>Legislation is sloppy and not helpful and not giving them incentives,

0:23:27.280 --> 0:23:28.800
<v Speaker 8>they're not going to continue to build.

0:23:28.960 --> 0:23:32.080
<v Speaker 7>So it's such a nuanced story.

0:23:32.280 --> 0:23:34.840
<v Speaker 8>So we're seeing some builders do things, some stay on

0:23:34.880 --> 0:23:36.080
<v Speaker 8>the sidelines right now.

0:23:36.400 --> 0:23:41.080
<v Speaker 1>This is the Bloomberg Intelligence Podcast, available on Apple, Spotify,

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0:23:48.640 --> 0:23:52.200
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0:23:52.600 --> 0:23:55.480
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0:24:01.800 --> 0:24:02.000
<v Speaker 7>Yeah