WEBVTT - Tesla, Alphabet Shares Slump

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<v Speaker 2>Going back to that Tesla story, disappointing Quartered socks off

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<v Speaker 2>twelve percent, Elon must trying to redirect the focus of

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<v Speaker 2>investors on other parts of the company, AI, robotaxis and

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<v Speaker 2>the like. Steve Man joins as he covers the global

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<v Speaker 2>auto industry for Bloomberg Intelligence.

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<v Speaker 3>Steve, what you make of the quarter last night? Holistically?

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<v Speaker 3>For the Tesla.

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<v Speaker 4>Story, I mean, I still like their long term, medium

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<v Speaker 4>term A look on AI, I'm not you know, in

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<v Speaker 4>our view were not including eight billion optimous robots. I

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<v Speaker 4>think that's a little bit out there. But AI is

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<v Speaker 4>will continue to drive the stock. But I think today

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<v Speaker 4>people are focused on their auto business. It's it's a

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<v Speaker 4>little bit worrying. I think investors were expecting their automotive

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<v Speaker 4>gross margin to flatten out in the second quarter versus

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<v Speaker 4>the first, but it did decline about one hundred and

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<v Speaker 4>fifty basis points to thirteen thirteen point nine percent, which

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<v Speaker 4>is in line with you know, the legacy automaker's automotive

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<v Speaker 4>growth marginal fourteen percent. So there is some concerns with

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<v Speaker 4>the investors. Is you know, are there any more upside

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<v Speaker 4>on margin? Are they you know, are they really that

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<v Speaker 4>good with cost?

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<v Speaker 5>But I guess the question is how do we value

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<v Speaker 5>the stock?

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<v Speaker 6>So I hear you that the auto part of their

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<v Speaker 6>business is very much maybe in line with what other

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<v Speaker 6>auto companies are talking about, but they trade an estimated

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<v Speaker 6>pe of like ninety times, Like is it worth it

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<v Speaker 6>for that? If it's if it's also being valued as

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<v Speaker 6>an AI company.

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<v Speaker 4>I think there's a couple of things that the investors

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<v Speaker 4>are focused on beyond this second quarter. You know, they

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<v Speaker 4>did pull ahead the start of production for a more

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<v Speaker 4>affordable EV from like the second half of next year

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<v Speaker 4>to the first half, which is critical. I think the market,

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<v Speaker 4>the the EV market today globally is actually consumers in

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<v Speaker 4>the EV market actually looking for a more affordable EV

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<v Speaker 4>something that's you know, less than fifty thousand US dollars.

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<v Speaker 4>You know, most of the EV's offered today are above

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<v Speaker 4>fifty thousand dollars, So, you know, I think the investors

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<v Speaker 4>are hoping that, you know, into twenty twenty five and

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<v Speaker 4>into twenty twenty six, we're gonna get a rebound in

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<v Speaker 4>EV sales because there's gonna be more affordable EV's, budget friendly,

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<v Speaker 4>EV's for the mass market.

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<v Speaker 2>Steve Tesla right now is an auto company and it's

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<v Speaker 2>an other company. Elon wants you to focus on the

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<v Speaker 2>other Can you define what's in that other bucket and

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<v Speaker 2>when investors believe it will be material to their revenution profits.

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<v Speaker 4>Yeah, you know, he talks about AI quite a bit,

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<v Speaker 4>you know, robo taxi, optimism, robot but if you think

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<v Speaker 4>of AI, I think there's you know, potentially even more

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<v Speaker 4>ways to generate revenues from AI. One of the things

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<v Speaker 4>that I think the market is also focused on other

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<v Speaker 4>than robotaxi, taking a passenger from point A to point

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<v Speaker 4>B is for example. You know, these cars have huge

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<v Speaker 4>battery storage capacity, right, and these things, if they can

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<v Speaker 4>move about on its own, you can really help out

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<v Speaker 4>the utilities in terms of, you know, redistributing power across

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<v Speaker 4>the grid.

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<v Speaker 6>Well to that point, I mean, their energy business was

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<v Speaker 6>actually quite impressive. It had its highest installation of batteries

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<v Speaker 6>and revenue ever and energy accounted for just twelve percent

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<v Speaker 6>and sixteen percent of Tesla's revenue and gross profit, respectively.

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<v Speaker 6>I mean, yeah, it's going to fluctuate, but that's pretty strong.

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<v Speaker 4>Yeah, it's it's a good good sign. I think, uh,

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<v Speaker 4>you know, those those tend to be a little bit

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<v Speaker 4>lumpy because the orders are big, and so whenever they

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<v Speaker 4>deliver the the the order and when they ever they

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<v Speaker 4>book it that that tends to be lumpy. I think

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<v Speaker 4>we'll have to see if it's going to be consistent.

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<v Speaker 4>But I think the investors are very focused on the

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<v Speaker 4>auto business. You know, what are they when are they

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<v Speaker 4>going to roll out the new are they going to

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<v Speaker 4>be on time? And rolling out the new EV the

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<v Speaker 4>affordable EV? And then longer term it's really uh, you

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<v Speaker 4>know AI, is he going to deliver? What what is

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<v Speaker 4>he going to say in October?

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<v Speaker 1>Uh?

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<v Speaker 4>You know the the AI event that he's hosting. You know,

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<v Speaker 4>there was there were a lot of questions about that

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<v Speaker 4>during the call, but he's pretty they were pretty tight lip.

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<v Speaker 3>So what is that October evan?

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<v Speaker 2>You tell us what the company says it is and

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<v Speaker 2>what you think it may be good distinction?

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<v Speaker 4>Yeah, yeah, I think I think for the most part,

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<v Speaker 4>it's going to be, you know, what is this new

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<v Speaker 4>vehicle they're launching. I think investors will be focused on,

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<v Speaker 4>what is this new vehicle, What is the price of

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<v Speaker 4>this vehicle? How are you going to manufactures so it

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<v Speaker 4>further cuts you know, per unit costs. The other one

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<v Speaker 4>is the full self driving, the full driving system that

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<v Speaker 4>they're trying to roll out, the robo taxi that they're

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<v Speaker 4>trying to roll out. I think people are going to

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<v Speaker 4>be focused on when is that going to generate you know,

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<v Speaker 4>material earnings and material revenue. Now I think it's not

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<v Speaker 4>going to be until twenty thirty, but so but I

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<v Speaker 4>really think the other thing that's going to get really

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<v Speaker 4>people really excited is is it is the Optimist robot.

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<v Speaker 4>Because the Optimist Robot, they really haven't talked too much

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<v Speaker 4>about it yet. I don't think it's going to get

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<v Speaker 4>to eight billion unit sales anytime soon. But you know,

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<v Speaker 4>if they can incorporate those Optimist robot into their manufacturing,

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<v Speaker 4>I think there's going to be a lot of potential

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<v Speaker 4>for cost cuts.

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<v Speaker 6>Okay, so the addressable market isn't John Tucker buying one.

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<v Speaker 6>The adressible market is must using them to build a car.

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<v Speaker 6>That's right, Okay, so don't worry you disappointed?

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<v Speaker 5>Now everything for me to this.

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<v Speaker 6>Point, like if John Tucker wanted one, could eventually he

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<v Speaker 6>actually buy one?

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<v Speaker 7>No, I don't.

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<v Speaker 4>I don't think he doesn't. It's not for sale right now.

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<v Speaker 4>I think what he's he's I think what he's going

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<v Speaker 4>to try to do is, uh, you know, built this robot,

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<v Speaker 4>optimize this robot. Uh, you know within the confines of

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<v Speaker 4>Tesla first be you know, they're going to make it

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<v Speaker 4>good enough, then they're going.

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<v Speaker 8>To offer it to the public.

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<v Speaker 4>All right, So maybe that's going to be not soon.

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<v Speaker 6>Yeah, yeah, So you gotta wait, you gotta wait, John Tucker,

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<v Speaker 6>all right, Steve thinks lot really appreciated. Steve Man Bloomberg Intelligence,

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<v Speaker 6>Global Autos and Industrials research analysts. You have to wonder,

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<v Speaker 6>just people on the call, like really addressable mark? Is

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<v Speaker 6>everyone on the planet? I don't know that's could you.

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<v Speaker 2>Look at the stands, I mean from starting the year

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<v Speaker 2>till like the third week of April, the stock was

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<v Speaker 2>down fifty percent. Since then up seventy five percent. So

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<v Speaker 2>I mean it's just do you buy off on all

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<v Speaker 2>these other bets outside of the car business.

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<v Speaker 3>You have to bend metal or don't you?

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<v Speaker 5>And then how do you?

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<v Speaker 8>That's always been the.

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<v Speaker 3>Case for Tessa story. You have to believe in Elon.

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<v Speaker 3>That's simple as that.

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<v Speaker 6>But it's going even bigger and bigger. It's like the

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<v Speaker 6>other gets bigger and bigger with more stuff.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 6>This Bloomberg Intelligence Radio, Happy Wednesday, everybody, Happy hump Day,

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<v Speaker 6>and Alex c alongside Paul Sweeney and John Tucker. We

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<v Speaker 6>are broadcasting to you live from Interactive Broker Studio right

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<v Speaker 6>here in Midtown Manhattan. So John Tucker laid out, the

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<v Speaker 6>market declined perfectly. And my really silly question is well,

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<v Speaker 6>Wire stocks down? And I say silly because you can say, oh,

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<v Speaker 6>of course, you know Google Tesla the disappoint and therefore

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<v Speaker 6>stocks are down.

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<v Speaker 5>Is that it?

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<v Speaker 6>Or is it a continuation of last week? And the

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<v Speaker 6>rotation theme is still intact? Is there something else going

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<v Speaker 6>on here. Bill Dudley talking in a Bloomberg opinion article

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<v Speaker 6>about how he changed his mind. He thinks that a

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<v Speaker 6>cut should come in July because employment doesn't look that good.

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<v Speaker 5>So let's get the.

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<v Speaker 6>Read here with Kim Forrest, founder and chief investment officer

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<v Speaker 6>of Boca Capital Partners, joining us from Pittsburgh. Kim, it's

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<v Speaker 6>a dumb question. Wire stocks down so much?

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<v Speaker 9>Okay, I'm going to answer it with a dumb answer.

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<v Speaker 8>Are you ready?

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<v Speaker 9>Yeah, because there's more sellers than buyers.

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<v Speaker 4>No.

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<v Speaker 5>I love this answer. Actually I know well.

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<v Speaker 9>I learned this on my very first day at Parker

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<v Speaker 9>Hunter when I was a cell side analyst. That's how

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<v Speaker 9>one of the radio announcers would say, Parker Hunter anyhow. Yes,

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<v Speaker 9>And they didn't cover this in MBA program on valuation.

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<v Speaker 9>But when people get afraid that maybe they've paid too

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<v Speaker 9>much for a stock, or maybe that things aren't going

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<v Speaker 9>the way they think, they sell and selling makes stocks

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<v Speaker 9>go down because when there's more sellers and buyers, the

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<v Speaker 9>prices fall. And that is why we love markets, because

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<v Speaker 9>it does the inverse. When there are more buyers than sellers,

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<v Speaker 9>prices go up. But the fundamentals really are is everything okay,

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<v Speaker 9>And it looks like some things are okay and some

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<v Speaker 9>things aren't, and it depends on what day the market

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<v Speaker 9>thinks more of one than the other.

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<v Speaker 2>What do you make of this whole AI trade in

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<v Speaker 2>the marketplace certainly was a theme not just for tech

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<v Speaker 2>companies but for the whole market beginning in twenty twenty three.

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<v Speaker 3>How do you view it?

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<v Speaker 2>Because again we've had Tesla talking about it last night,

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<v Speaker 2>Google talking about it still.

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<v Speaker 9>Well, I have a nuanced view because I was a

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<v Speaker 9>software developer in company that actually developed neural networks and

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<v Speaker 9>then used neural networks. So and that is the underlaying

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<v Speaker 9>technology that's behind chat, GPT and autonomous driving and all

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<v Speaker 9>of that kind of stuff. So here's the skinny on that.

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<v Speaker 9>I strongly believe the moment for AI is finally here

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<v Speaker 9>because computers can be fast enough and we have enough

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<v Speaker 9>of the right data to be able to train models.

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<v Speaker 9>But investors are always impatient with new technology, and they thought,

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<v Speaker 9>just like they thought autonomous druck cars were just around

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<v Speaker 9>the corner in twenty sixteen, they're not. It always takes

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<v Speaker 9>longer to develop really good technology. AI is really good,

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<v Speaker 9>but it's not going to pay off in the next

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<v Speaker 9>fifteen to twenty minutes. So investors are becoming aware of

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<v Speaker 9>that right now, especially as Google kind of outlined its

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<v Speaker 9>spending plans that go on for the foreseeable future.

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<v Speaker 6>Well, that's where I think that question then goes to

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<v Speaker 6>my first question of why our stocks are selling off,

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<v Speaker 6>and that basically they have to spend to then monetize,

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<v Speaker 6>and there's going to be a gap between the spending

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<v Speaker 6>and the monetization and there's still a race to spend.

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<v Speaker 6>And as an investor, how do you value something like that?

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<v Speaker 9>Well, in my mind, you don't yet, right I don't

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<v Speaker 9>know what Google is going to be able to monetize

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<v Speaker 9>because we're not clear what problem they're solving. Like that's

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<v Speaker 9>the first thing we have to ask, what problem are

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<v Speaker 9>you solving? Is it worth solving with technology? And how

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<v Speaker 9>much money will you get? And we don't have any

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<v Speaker 9>of those answers, But we do have this idea that

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<v Speaker 9>AI is going to work out. So how we play

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<v Speaker 9>this is we've been buying the semis and then storage

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<v Speaker 9>companies or semis that have to do with storage, because

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<v Speaker 9>we know AI takes tons of data, unbelievable amounts of data,

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<v Speaker 9>probably more data than it takes electricity. I mean, I

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<v Speaker 9>can't emphasize how much data is needed. Okay, I've ever

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<v Speaker 9>done that, but that's what we've been doing. So we

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<v Speaker 9>buy companies like net app, which makes storage enterprise storage devices,

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<v Speaker 9>and then Micron because they make one of the elements

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<v Speaker 9>of storage, which is called nand it's a technology a

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<v Speaker 9>chip that you can store things on. And that is

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<v Speaker 9>how we've played it because we don't know what time

0:12:23.040 --> 0:12:25.800
<v Speaker 9>frame we're going to be in. We just know somewhere

0:12:25.840 --> 0:12:28.080
<v Speaker 9>within the next ten years, AI is going to be

0:12:28.720 --> 0:12:32.120
<v Speaker 9>a thing and show productivity and people will pay for it.

0:12:32.760 --> 0:12:38.360
<v Speaker 2>Outside of technology, Kim, are there areas that are interest you?

0:12:38.400 --> 0:12:38.600
<v Speaker 8>Oh?

0:12:38.920 --> 0:12:41.880
<v Speaker 9>All of them are interesting, honestly. You know, energy is

0:12:41.920 --> 0:12:44.600
<v Speaker 9>a big question mark because it's been kind of unloved

0:12:44.640 --> 0:12:48.400
<v Speaker 9>as we've done the move towards green and now we're

0:12:48.480 --> 0:12:52.960
<v Speaker 9>kind of going maybe we need you know, energy for

0:12:53.000 --> 0:12:55.280
<v Speaker 9>a while longer, you know, the old fashioned kind that

0:12:55.320 --> 0:12:57.920
<v Speaker 9>we dig out of the earth. That's kind of interesting,

0:12:58.440 --> 0:13:01.480
<v Speaker 9>and I think if we're going to be in a

0:13:01.600 --> 0:13:07.880
<v Speaker 9>declining interest rate environment, maybe things like housing and then

0:13:08.120 --> 0:13:12.960
<v Speaker 9>ancillary areas around housing, like home goods and that sort

0:13:12.960 --> 0:13:15.800
<v Speaker 9>of thing. You know, items that people buy when they

0:13:15.800 --> 0:13:19.760
<v Speaker 9>buy a new house that might be interesting. And again,

0:13:19.840 --> 0:13:22.200
<v Speaker 9>these are kind of three to five year time periods

0:13:22.240 --> 0:13:26.160
<v Speaker 9>for us. We don't ever really want to make bets

0:13:26.160 --> 0:13:28.960
<v Speaker 9>on the next six months because anything can happen, right,

0:13:29.040 --> 0:13:30.960
<v Speaker 9>So we're always looking out three to five.

0:13:30.880 --> 0:13:33.160
<v Speaker 6>Years, which brings me though to the election can because

0:13:33.240 --> 0:13:35.080
<v Speaker 6>I appreciate that you're not going to tradeer on the election,

0:13:35.520 --> 0:13:38.400
<v Speaker 6>But there are some policies that feel binary and election

0:13:38.520 --> 0:13:41.000
<v Speaker 6>and energy maybe one of them in a Trump versus

0:13:41.000 --> 0:13:45.160
<v Speaker 6>Harris world, which would then affect investment and returns and

0:13:45.240 --> 0:13:48.079
<v Speaker 6>prices in the next, say, three to five years, which

0:13:48.120 --> 0:13:48.920
<v Speaker 6>is your time frame.

0:13:49.000 --> 0:13:50.439
<v Speaker 5>How do you wind up thinking about it?

0:13:51.520 --> 0:13:54.319
<v Speaker 9>Sure, well, I'm kind of a realist too. As much

0:13:54.320 --> 0:13:58.079
<v Speaker 9>as you would like the world to be driven by renewables,

0:13:58.559 --> 0:14:01.360
<v Speaker 9>it's not practical, isn't if you look at any of

0:14:01.400 --> 0:14:04.920
<v Speaker 9>the numbers. Even as the use of renewables have gone up,

0:14:04.960 --> 0:14:08.880
<v Speaker 9>so too has the use of non renewables. Right, So

0:14:09.960 --> 0:14:13.360
<v Speaker 9>I think if you you know, sure the scale may

0:14:13.360 --> 0:14:17.120
<v Speaker 9>be tilted towards renewables, maybe you play it by finding

0:14:17.120 --> 0:14:21.120
<v Speaker 9>a company that does both. And a lot of the

0:14:21.320 --> 0:14:25.800
<v Speaker 9>energy companies are trying to get a green footprint somehow,

0:14:26.240 --> 0:14:29.080
<v Speaker 9>so I think that might be where you look.

0:14:29.880 --> 0:14:33.840
<v Speaker 2>Fixed income, Kim, how are you guys allocating to fixed

0:14:33.840 --> 0:14:36.120
<v Speaker 2>income these days? Because you know, folks can sit into

0:14:36.120 --> 0:14:37.960
<v Speaker 2>your treasure and get down your you know, four point

0:14:37.960 --> 0:14:38.480
<v Speaker 2>four percent.

0:14:39.480 --> 0:14:42.800
<v Speaker 9>I know, well, we're short. We're still in the short term,

0:14:43.040 --> 0:14:46.080
<v Speaker 9>right Like whenever I have to replace a bond, I'm

0:14:46.360 --> 0:14:48.680
<v Speaker 9>trying to go as short as I can to get

0:14:48.720 --> 0:14:51.640
<v Speaker 9>the highest amount. And two to three years is where

0:14:51.680 --> 0:14:56.120
<v Speaker 9>we're liking to buy. Anything longer than that, I don't know.

0:14:56.120 --> 0:14:59.200
<v Speaker 9>It just seems too risky because it could go literally

0:14:59.320 --> 0:15:03.280
<v Speaker 9>either way. Right if we're going to reinflate, if the

0:15:03.320 --> 0:15:05.280
<v Speaker 9>curve is going to go back to normal, maybe long

0:15:05.360 --> 0:15:07.920
<v Speaker 9>term rates will go up a bit, short term rates

0:15:07.920 --> 0:15:10.520
<v Speaker 9>will fall. So let's live it up and buy some

0:15:10.560 --> 0:15:13.480
<v Speaker 9>short term rates because we usually we don't trade them.

0:15:13.800 --> 0:15:17.240
<v Speaker 9>We just let them expire, right, So we're buying the

0:15:17.320 --> 0:15:20.160
<v Speaker 9>yield so maturity.

0:15:19.720 --> 0:15:20.560
<v Speaker 5>Before we let you go.

0:15:21.200 --> 0:15:23.240
<v Speaker 6>Let's get into the debate about small caps. Do you

0:15:23.680 --> 0:15:25.480
<v Speaker 6>say yay or nay to small caps?

0:15:26.040 --> 0:15:29.200
<v Speaker 9>I am a big ya. I have about half of

0:15:29.240 --> 0:15:32.840
<v Speaker 9>my portfolios in small I would say mid cap. I

0:15:32.880 --> 0:15:36.560
<v Speaker 9>can't really look at anybody less than a billion dollars,

0:15:36.640 --> 0:15:39.360
<v Speaker 9>I don't have the temperament for the companies that live there.

0:15:40.240 --> 0:15:44.760
<v Speaker 9>That being said, those high quality small companies often get

0:15:44.800 --> 0:15:47.760
<v Speaker 9>bought by larger companies, and that's kind of what we're

0:15:47.800 --> 0:15:51.160
<v Speaker 9>looking for, is companies that have a really great track

0:15:51.200 --> 0:15:57.600
<v Speaker 9>record of making products that their clients love, and a

0:15:57.640 --> 0:15:59.480
<v Speaker 9>lot of them tend to get bought out and it

0:15:59.520 --> 0:16:04.160
<v Speaker 9>really does add a boost to your returns. So that's

0:16:04.200 --> 0:16:04.920
<v Speaker 9>what we look for.

0:16:05.480 --> 0:16:07.600
<v Speaker 5>All right, good stuff, Kim, We appreciate you.

0:16:07.640 --> 0:16:10.160
<v Speaker 6>Thank you very much, Kim. Forrest founder and CIO. A

0:16:10.160 --> 0:16:13.640
<v Speaker 6>book of capital partners joining us on that. Okay, de reine.

0:16:13.640 --> 0:16:14.200
<v Speaker 5>But it's interesting.

0:16:14.200 --> 0:16:15.840
<v Speaker 6>It's an M and A play. It's not like a

0:16:15.840 --> 0:16:19.560
<v Speaker 6>fed cutting play. It's not necessarily a rotation play, but

0:16:19.640 --> 0:16:20.480
<v Speaker 6>at takeout play.

0:16:20.560 --> 0:16:22.320
<v Speaker 5>So that's also quite interesting.

0:16:23.760 --> 0:16:27.640
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:16:27.720 --> 0:16:30.320
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0:16:30.400 --> 0:16:33.440
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0:16:33.480 --> 0:16:37.560
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0:16:38.160 --> 0:16:39.720
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0:16:39.720 --> 0:16:42.160
<v Speaker 6>We bring you all the top news and business finance,

0:16:42.240 --> 0:16:45.080
<v Speaker 6>economics and earnings. There are lens of our Bloomberg Intelligence

0:16:45.080 --> 0:16:47.040
<v Speaker 6>folks that cover two thousand companies and one hundred and

0:16:47.040 --> 0:16:49.720
<v Speaker 6>thirty industries worldwide, and now is our great time we

0:16:49.760 --> 0:16:53.960
<v Speaker 6>get to focus on Google aka Alphabet that's dock down,

0:16:54.120 --> 0:16:58.080
<v Speaker 6>following the most since February twenty six and hitting its

0:16:58.080 --> 0:17:01.680
<v Speaker 6>lowest level since June eighteenth. This is really hitting it

0:17:01.800 --> 0:17:04.320
<v Speaker 6>the earnings from yesterday. So Man Deep saying Bloomberg Intelligence

0:17:04.320 --> 0:17:07.240
<v Speaker 6>senior tech industry analyst is joining us now in studio

0:17:07.320 --> 0:17:09.439
<v Speaker 6>to dissect it. So on the one hand, we have

0:17:09.560 --> 0:17:11.760
<v Speaker 6>the CAPEX spend and the other hand we have.

0:17:11.760 --> 0:17:13.720
<v Speaker 5>The YouTube stuff. Which one you want? Which is the

0:17:13.760 --> 0:17:15.639
<v Speaker 5>bigger driver of the downside today?

0:17:15.960 --> 0:17:20.399
<v Speaker 10>Capex I mean simply because this quarter companies are not

0:17:20.560 --> 0:17:23.960
<v Speaker 10>getting a pass on boosting CAPEX. That wasn't the case

0:17:24.080 --> 0:17:29.720
<v Speaker 10>last quarter. But clearly I think investors vary about how

0:17:29.800 --> 0:17:32.840
<v Speaker 10>much CAPEX these companies are going to throw on AI.

0:17:33.080 --> 0:17:36.480
<v Speaker 10>And look, in the case of Alphabet, there is revenue

0:17:36.600 --> 0:17:40.280
<v Speaker 10>in the cloud segment, so they quantified the AI impact

0:17:40.320 --> 0:17:44.359
<v Speaker 10>on cloud which was high single digit contribution to cloud segment,

0:17:44.440 --> 0:17:47.760
<v Speaker 10>and cloud segment actually saw on acceleration in top line growth.

0:17:48.280 --> 0:17:52.399
<v Speaker 10>But YouTube miss, I think I attribute that more to

0:17:53.640 --> 0:17:58.920
<v Speaker 10>software spending outside of financial services and retail sectors like automotive.

0:17:59.240 --> 0:18:01.960
<v Speaker 10>They're not spending on digital ads right now because the

0:18:02.000 --> 0:18:05.080
<v Speaker 10>sector is going through a cyclical downturn. So there is

0:18:05.080 --> 0:18:08.960
<v Speaker 10>that cyclical element to YouTube's business. But I think there

0:18:08.960 --> 0:18:12.359
<v Speaker 10>are a lot of positives. Course search growing at fourteen percent.

0:18:12.840 --> 0:18:15.359
<v Speaker 10>I mean, think about the scale of search and the

0:18:15.400 --> 0:18:17.920
<v Speaker 10>fact that they are able to grow double digits. That's

0:18:17.960 --> 0:18:21.240
<v Speaker 10>quite impressive, and that too at a very healthy margin.

0:18:21.280 --> 0:18:24.880
<v Speaker 10>I mean, the biggest fear for this company was margins

0:18:24.880 --> 0:18:28.200
<v Speaker 10>are going to get degraded because of you know, AI

0:18:28.359 --> 0:18:30.800
<v Speaker 10>and whatnot. That we haven't seen that. So a lot

0:18:30.840 --> 0:18:33.680
<v Speaker 10>of positives, but clearly kapex was an overhang.

0:18:34.200 --> 0:18:36.720
<v Speaker 2>All right, I've been making a point today. If any

0:18:36.720 --> 0:18:39.160
<v Speaker 2>team deserves a benefit of the doubt of higher CAPEX,

0:18:39.240 --> 0:18:43.440
<v Speaker 2>it's Sundar, Punchai and all the folks at Google. Let's

0:18:44.160 --> 0:18:47.080
<v Speaker 2>stop whining about capex. Have they ever not generated to

0:18:47.119 --> 0:18:48.000
<v Speaker 2>return on their spending?

0:18:48.560 --> 0:18:51.680
<v Speaker 10>I mean, the problem with Google's management team is they

0:18:51.760 --> 0:18:54.840
<v Speaker 10>say very little on their earnings call. Like even when

0:18:54.880 --> 0:18:58.320
<v Speaker 10>you answer them, like ask a question, they would answer

0:18:58.480 --> 0:19:02.239
<v Speaker 10>it with as little words as possible, So you know

0:19:02.680 --> 0:19:06.760
<v Speaker 10>it sounded like they are bullish on their AI opportunity

0:19:06.880 --> 0:19:11.000
<v Speaker 10>and it's actually monetizing. Uh, some of that capex is

0:19:11.040 --> 0:19:14.119
<v Speaker 10>going towards Wemo. If you think about you know, robotaxis

0:19:14.160 --> 0:19:16.720
<v Speaker 10>and what Tesla had to go through their call last night.

0:19:17.160 --> 0:19:20.520
<v Speaker 10>Wemo actually did two million rides here to date and

0:19:20.560 --> 0:19:24.640
<v Speaker 10>these are all autonomous rides and they're expanding to other cities.

0:19:24.680 --> 0:19:27.760
<v Speaker 10>So think about, you know, the skill in that business

0:19:27.800 --> 0:19:31.600
<v Speaker 10>if they're able to do actually autonomous driving successfully. So

0:19:32.320 --> 0:19:34.840
<v Speaker 10>I do think their capex as well spent, but they

0:19:35.040 --> 0:19:37.879
<v Speaker 10>just don't explain it that well to the street, you know,

0:19:38.000 --> 0:19:38.760
<v Speaker 10>to get the credit.

0:19:39.320 --> 0:19:42.240
<v Speaker 6>So when it comes to then the AI spend, what

0:19:42.840 --> 0:19:45.640
<v Speaker 6>other companies are going to get judged in the same

0:19:45.720 --> 0:19:48.680
<v Speaker 6>harsh light and what's Google's one up on them?

0:19:48.720 --> 0:19:52.640
<v Speaker 10>If any Meta I mean you saw a negative reaction

0:19:52.840 --> 0:19:56.399
<v Speaker 10>with Alphabet, I mean think about what happened to be worse.

0:19:56.480 --> 0:19:58.720
<v Speaker 10>Meta is going to be worse. Even last quarter when

0:19:58.760 --> 0:20:02.040
<v Speaker 10>they raise their capex, Meta had a negative stock reaction

0:20:02.160 --> 0:20:06.240
<v Speaker 10>simply because investors are concerned about how much this company

0:20:06.280 --> 0:20:09.879
<v Speaker 10>is going to spend on metaverse versus AI. And so

0:20:09.920 --> 0:20:12.879
<v Speaker 10>in the case of Meta, they're losing eighteen billion dollars

0:20:12.920 --> 0:20:16.640
<v Speaker 10>a year on reality labs. They're spending Capex in addition

0:20:16.720 --> 0:20:19.720
<v Speaker 10>to the AI Capex, which they launched a new large

0:20:19.720 --> 0:20:23.000
<v Speaker 10>anglid model. And to my mind, any company right now

0:20:23.040 --> 0:20:26.360
<v Speaker 10>with their own large anglid model, whether it's Alphabet, Meta

0:20:27.000 --> 0:20:30.520
<v Speaker 10>or a Microsoft Open AI, they have an advantage. They

0:20:30.720 --> 0:20:34.240
<v Speaker 10>have the best reasoning capability when it comes to the

0:20:34.320 --> 0:20:37.760
<v Speaker 10>AI spend and it's actually a future driver of revenue.

0:20:37.840 --> 0:20:40.679
<v Speaker 10>So it all comes down to how they are going

0:20:40.720 --> 0:20:43.320
<v Speaker 10>to monetize it. And I think with Microsoft and Google

0:20:43.359 --> 0:20:45.560
<v Speaker 10>they have an advantage because it shows up in the

0:20:45.600 --> 0:20:48.719
<v Speaker 10>cloud revenue. In the case of Meta, they have to

0:20:48.800 --> 0:20:54.400
<v Speaker 10>monetize the AI spend through ad revenue or a subscription

0:20:54.560 --> 0:20:58.040
<v Speaker 10>based you know, chat pot offering, which nobody knows when

0:20:58.080 --> 0:20:58.640
<v Speaker 10>that will come.

0:20:59.119 --> 0:21:03.399
<v Speaker 2>What is Gemini and John Talker and I be using it.

0:21:03.400 --> 0:21:08.119
<v Speaker 10>It's a better way to search for certain type of queries.

0:21:08.520 --> 0:21:12.680
<v Speaker 10>So whenever you want you know something with a detailed

0:21:12.720 --> 0:21:15.399
<v Speaker 10>answer as opposed to going through ten blue links to

0:21:15.440 --> 0:21:18.920
<v Speaker 10>find that answer. Gemini is great. The one good thing

0:21:18.960 --> 0:21:22.440
<v Speaker 10>about Gemini is when you search for a query, it's

0:21:22.480 --> 0:21:26.000
<v Speaker 10>going to show you the relevant YouTube link, whereas if

0:21:26.040 --> 0:21:30.040
<v Speaker 10>you search that on chatch Ept or Claude. It's not

0:21:30.119 --> 0:21:32.119
<v Speaker 10>going to have that YouTube link. So it's going to

0:21:32.160 --> 0:21:35.080
<v Speaker 10>generate the text, it's going to generate a summary, it's

0:21:35.119 --> 0:21:37.800
<v Speaker 10>going to answer your query, but it won't have that

0:21:37.880 --> 0:21:42.000
<v Speaker 10>appropriate YouTube link. And that's Google's biggest advantage with the

0:21:42.119 --> 0:21:43.080
<v Speaker 10>large anguage models.

0:21:43.119 --> 0:21:44.080
<v Speaker 3>It's do you have to pay for that?

0:21:44.920 --> 0:21:47.840
<v Speaker 10>Yeah, it's a twenty dollars subscription for the advanced version

0:21:48.240 --> 0:21:51.640
<v Speaker 10>that app will that that's kind of and that's where

0:21:51.760 --> 0:21:55.040
<v Speaker 10>I mean you are not like you don't think it's

0:21:55.040 --> 0:21:58.280
<v Speaker 10>a big deal, But I think Google owning maps and

0:21:58.440 --> 0:22:01.760
<v Speaker 10>YouTube is such a big deal in this arena of

0:22:01.880 --> 0:22:04.760
<v Speaker 10>large anglid models, because it's one thing to generate a

0:22:04.880 --> 0:22:08.720
<v Speaker 10>text based response, it's another thing to have a blue

0:22:08.760 --> 0:22:13.679
<v Speaker 10>link with the YouTube video that they want you to

0:22:13.720 --> 0:22:16.280
<v Speaker 10>see or the map link that they want you to

0:22:16.280 --> 0:22:20.080
<v Speaker 10>click on inside that response. And other large anglid models

0:22:20.080 --> 0:22:22.360
<v Speaker 10>can't do it because they don't own these assets.

0:22:22.400 --> 0:22:24.280
<v Speaker 5>So well, before we go.

0:22:24.280 --> 0:22:27.360
<v Speaker 6>One thing though, but the meta is that if if

0:22:27.359 --> 0:22:30.199
<v Speaker 6>these companies, though don't spend, then at some point when

0:22:30.240 --> 0:22:32.840
<v Speaker 6>all this is monetizable in a big, big way, all

0:22:32.880 --> 0:22:34.920
<v Speaker 6>of a sudden numbers Gonta complain that then Meta's super

0:22:34.920 --> 0:22:35.560
<v Speaker 6>far behind.

0:22:35.680 --> 0:22:38.640
<v Speaker 5>So what's the chicken in the egg here?

0:22:39.200 --> 0:22:41.720
<v Speaker 10>I mean, I still think nobody wants to be the

0:22:41.760 --> 0:22:44.920
<v Speaker 10>first one to pull back on capex. So it really

0:22:45.160 --> 0:22:48.879
<v Speaker 10>is a question of when do we have sufficient supply

0:22:49.000 --> 0:22:52.800
<v Speaker 10>of GPUs, And because the market is supply constrained when

0:22:52.800 --> 0:22:55.359
<v Speaker 10>it comes to the chip side of the equation, nobody

0:22:55.440 --> 0:22:58.120
<v Speaker 10>wants to come across and say, oh, I have enough

0:22:58.119 --> 0:23:00.719
<v Speaker 10>and I don't need to spend on cap anymore. And

0:23:01.280 --> 0:23:04.240
<v Speaker 10>I think right now, these companies generate so much cash

0:23:04.280 --> 0:23:07.080
<v Speaker 10>every year, like Alphabet will generate over one hundred billion

0:23:07.119 --> 0:23:09.880
<v Speaker 10>in free cash flow, so they can afford to spend

0:23:10.040 --> 0:23:13.119
<v Speaker 10>sixty billion in capex, and they're looking to make a

0:23:13.200 --> 0:23:16.440
<v Speaker 10>twenty three billion dollar acquisition that fell through, but clearly

0:23:16.880 --> 0:23:19.880
<v Speaker 10>they want to spend their free cash flow, which.

0:23:19.720 --> 0:23:22.000
<v Speaker 6>To your point, like, yeah, go ahead, you earned it,

0:23:22.080 --> 0:23:25.200
<v Speaker 6>you spend it, all right, Mandy, you're the best, so helpful,

0:23:25.320 --> 0:23:26.600
<v Speaker 6>so great, I asked Mabe slept.

0:23:26.600 --> 0:23:29.359
<v Speaker 5>He said yes, but I don't know if that's as

0:23:29.400 --> 0:23:31.080
<v Speaker 5>at home too, to make it even worse, I know, I.

0:23:31.040 --> 0:23:33.439
<v Speaker 6>Know, but he was on late yesterday, early today and

0:23:33.480 --> 0:23:35.399
<v Speaker 6>all that stuff. All right, Mandy, the best Mandy is

0:23:35.400 --> 0:23:38.680
<v Speaker 6>saying Bloomberg Intelligence senior tech industry analysts.

0:23:38.680 --> 0:23:39.280
<v Speaker 5>It's like, I feel like.

0:23:39.320 --> 0:23:42.000
<v Speaker 6>Investors want both, Like they want the growth and they

0:23:42.040 --> 0:23:43.919
<v Speaker 6>want the company to be profitable with it, but then

0:23:43.920 --> 0:23:45.040
<v Speaker 6>they don't want the CAPEC spend.

0:23:45.080 --> 0:23:46.160
<v Speaker 5>It's like, dude, you can't have both.

0:23:46.240 --> 0:23:48.159
<v Speaker 2>Yeah, But then you get analysts like Dan Ives It

0:23:48.280 --> 0:23:50.800
<v Speaker 2>just says, you know, you pick the manager teams, you

0:23:50.840 --> 0:23:52.720
<v Speaker 2>pick the technology, and you just go and you just

0:23:52.760 --> 0:23:55.080
<v Speaker 2>got to shut your eyes and you know, not worry

0:23:55.119 --> 0:23:57.560
<v Speaker 2>about the peaks and valleys, and you think that Tesla again.

0:23:58.080 --> 0:24:01.720
<v Speaker 3>First, you know, the first quarter through the third.

0:24:01.760 --> 0:24:05.480
<v Speaker 2>Week of April down fifty percent, only to bounce back

0:24:05.520 --> 0:24:06.520
<v Speaker 2>seventy five percent, So you.

0:24:06.600 --> 0:24:08.800
<v Speaker 3>Gotta be ready for those roller coachs with these tech names.

0:24:08.840 --> 0:24:09.400
<v Speaker 8>I guess yeah.

0:24:09.440 --> 0:24:11.280
<v Speaker 6>But then the problem with Tesla is, at least I

0:24:11.280 --> 0:24:13.359
<v Speaker 6>feel like it's clearly laid out if you're listening to

0:24:13.440 --> 0:24:16.040
<v Speaker 6>a Google conference call. The problem with Texla A Tesla

0:24:16.200 --> 0:24:18.399
<v Speaker 6>is like when he says something about a robotaxi and

0:24:18.440 --> 0:24:21.119
<v Speaker 6>Elon Musk says, our solution would work anywhere, even a

0:24:21.200 --> 0:24:24.879
<v Speaker 6>New Earth. What I don't understand, like that they're all

0:24:24.960 --> 0:24:26.840
<v Speaker 6>these it's Elon musky stuff.

0:24:26.520 --> 0:24:27.720
<v Speaker 5>And that must be very difficult.

0:24:27.720 --> 0:24:29.879
<v Speaker 3>Where is that elon musk risk that you take.

0:24:29.960 --> 0:24:31.800
<v Speaker 5>Or musky stuff? As I am saying it.

0:24:33.280 --> 0:24:37.200
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:24:37.280 --> 0:24:40.800
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0:24:40.800 --> 0:24:43.600
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0:24:43.720 --> 0:24:46.800
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0:24:47.160 --> 0:24:52.120
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0:24:51.720 --> 0:24:53.560
<v Speaker 2>Alex Steel false when you're live here on our Bloomberg

0:24:53.560 --> 0:24:56.600
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0:24:56.840 --> 0:24:59.920
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0:25:00.320 --> 0:25:02.640
<v Speaker 2>Let's tell commercial real estate because I have no idea

0:25:03.000 --> 0:25:05.160
<v Speaker 2>what's going on here. I need to see some price action,

0:25:05.320 --> 0:25:06.440
<v Speaker 2>price discovery out.

0:25:06.320 --> 0:25:07.200
<v Speaker 3>There in the marketplace.

0:25:07.359 --> 0:25:08.920
<v Speaker 2>If I'm going to buy an office building on Third

0:25:08.920 --> 0:25:11.000
<v Speaker 2>Avenue in Manhattan, what kind of discount am I going

0:25:11.040 --> 0:25:14.800
<v Speaker 2>to get? Fortunately, Abbail Duolottle knows a ton of people

0:25:14.960 --> 0:25:18.400
<v Speaker 2>in that business. Abigail Doulttle's on markets reporter, but she's

0:25:18.480 --> 0:25:21.040
<v Speaker 2>got her She's wired into that commercial real estate business,

0:25:21.040 --> 0:25:25.480
<v Speaker 2>which means the whole Morgan Stanley real estate mafia.

0:25:25.600 --> 0:25:26.720
<v Speaker 3>Alumni crew.

0:25:27.200 --> 0:25:31.040
<v Speaker 2>One of them is Sunny Kelsey Co Chief executive Officer Bgo.

0:25:31.520 --> 0:25:34.120
<v Speaker 2>I said, who is bgl? They got eighty five billion

0:25:34.320 --> 0:25:37.280
<v Speaker 2>in assets under management? What rock have I been sleeping under?

0:25:37.320 --> 0:25:39.080
<v Speaker 2>So these guys are big, Sonny. Thank you so much

0:25:39.080 --> 0:25:40.720
<v Speaker 2>for joining us here in our studio. Abbigil, thank you

0:25:40.760 --> 0:25:42.240
<v Speaker 2>so much for joining us as well.

0:25:42.440 --> 0:25:42.800
<v Speaker 3>Sonny.

0:25:43.560 --> 0:25:45.520
<v Speaker 2>All I know is I walk down Third Avenue in

0:25:45.600 --> 0:25:47.840
<v Speaker 2>a lot of empty buildings, and I'm just wondering how

0:25:47.920 --> 0:25:51.040
<v Speaker 2>representative is that of the commercial real estate business. How

0:25:51.080 --> 0:25:53.560
<v Speaker 2>do you guys view the commercial real estate business today?

0:25:53.560 --> 0:25:56.000
<v Speaker 2>It's got to be like something you've never seen before.

0:25:56.400 --> 0:25:58.440
<v Speaker 7>It is something like we've never seen before. And you think,

0:25:58.480 --> 0:26:01.280
<v Speaker 7>after thirty four years, you see everything, and you know,

0:26:01.400 --> 0:26:04.040
<v Speaker 7>we always get asked to compare cycles, and every cycle

0:26:04.119 --> 0:26:07.600
<v Speaker 7>is different, and this one is definitely different. I'll answer

0:26:07.640 --> 0:26:09.800
<v Speaker 7>your question in a second. But the context around it

0:26:09.840 --> 0:26:12.000
<v Speaker 7>is you just pick the asset class that's been hit

0:26:12.000 --> 0:26:14.200
<v Speaker 7>the worst in the last four years, right two years

0:26:14.240 --> 0:26:17.120
<v Speaker 7>of a pandemic call it, where people were working from home,

0:26:17.200 --> 0:26:19.360
<v Speaker 7>and a bunch of other stuff, and then you've got

0:26:19.359 --> 0:26:23.600
<v Speaker 7>it piling on in terms of kind of bad secular

0:26:23.680 --> 0:26:27.520
<v Speaker 7>news for the for the office sector. Right. Work from

0:26:27.520 --> 0:26:29.240
<v Speaker 7>home was one problem on real estate owner, so I

0:26:29.280 --> 0:26:31.199
<v Speaker 7>think it's a problem. Work from home was one problem

0:26:31.200 --> 0:26:33.959
<v Speaker 7>which never would have happened without technology like Zoom. But

0:26:34.000 --> 0:26:35.760
<v Speaker 7>then you have AI, you have a bunch of other

0:26:35.800 --> 0:26:37.919
<v Speaker 7>stuff coming, which are all going to come after jobs.

0:26:37.960 --> 0:26:44.199
<v Speaker 7>Presumably office and gateway cities like New York City is

0:26:44.320 --> 0:26:47.320
<v Speaker 7>probably the if you want to take about lower left,

0:26:47.320 --> 0:26:49.240
<v Speaker 7>if that's the bad place to be, that's a bad

0:26:49.280 --> 0:26:52.320
<v Speaker 7>place to be, right. I do agree when the baby

0:26:52.320 --> 0:26:54.080
<v Speaker 7>gets thrown out with the bathwater and they say all

0:26:54.119 --> 0:26:56.399
<v Speaker 7>real estate is bad. You know, people focus on that

0:26:56.440 --> 0:26:57.840
<v Speaker 7>because it's kind of what's present.

0:26:57.960 --> 0:26:58.120
<v Speaker 6>Right.

0:26:59.119 --> 0:27:01.840
<v Speaker 7>We're Abigail and our talking about how the streets and

0:27:01.880 --> 0:27:03.920
<v Speaker 7>not here in the retailers are all empty that used

0:27:03.920 --> 0:27:06.800
<v Speaker 7>to be here. That's what you see, right. What you

0:27:06.840 --> 0:27:09.400
<v Speaker 7>don't see as much is people are still living somewhere.

0:27:09.840 --> 0:27:12.080
<v Speaker 7>You still get your goods and services. Somehow those are

0:27:12.080 --> 0:27:14.560
<v Speaker 7>coming to you from a warehouse somewhere as opposed to

0:27:14.560 --> 0:27:16.960
<v Speaker 7>coming to you because you're going to a store. Not

0:27:17.040 --> 0:27:21.240
<v Speaker 7>that those have been immune, right, But office it's been tough,

0:27:21.560 --> 0:27:23.480
<v Speaker 7>and honestly, I don't see it getting better in the

0:27:23.560 --> 0:27:24.240
<v Speaker 7>near term.

0:27:24.280 --> 0:27:27.359
<v Speaker 6>Well, then to that point, what part of real estate

0:27:27.800 --> 0:27:32.240
<v Speaker 6>is cyclical versus secular? Yes, so like the warehouse point

0:27:32.280 --> 0:27:34.480
<v Speaker 6>you make, that has to be a secular shift. But

0:27:34.520 --> 0:27:36.680
<v Speaker 6>we're still in a cyclical market, so that's going to

0:27:36.720 --> 0:27:37.959
<v Speaker 6>be very tricky, correct.

0:27:38.119 --> 0:27:39.960
<v Speaker 7>Yeah. Well so look, I would say as I think

0:27:40.000 --> 0:27:42.320
<v Speaker 7>about investing, I think about the four quadrants. And people

0:27:42.359 --> 0:27:44.920
<v Speaker 7>think about dead equity, public, private, I actually think about cyclical,

0:27:45.040 --> 0:27:49.000
<v Speaker 7>secular and headwind tailwind Right, So if you think about

0:27:49.080 --> 0:27:53.560
<v Speaker 7>who what's in secular decline and as secular headwinds, office

0:27:53.600 --> 0:27:55.640
<v Speaker 7>is the best asset class to think about, right, All

0:27:55.680 --> 0:27:57.920
<v Speaker 7>the top down news is bad, the bottom up news

0:27:57.960 --> 0:28:00.600
<v Speaker 7>is bad. Capital markets are bad. Terms of what has

0:28:00.600 --> 0:28:08.800
<v Speaker 7>cyclical tailwinds? Right, What has cyclical tailwinds and secular tailwinds?

0:28:09.280 --> 0:28:11.680
<v Speaker 7>Anything related to technology. So I'm sure you've had a

0:28:11.680 --> 0:28:13.240
<v Speaker 7>lot of people come in to talk about data centers.

0:28:13.440 --> 0:28:15.760
<v Speaker 7>We have a big data center business too. It's been great.

0:28:16.840 --> 0:28:19.159
<v Speaker 7>The issue is it's no secret that it's great. So

0:28:19.200 --> 0:28:20.960
<v Speaker 7>there's a lot of money piling in. There's a huge

0:28:21.000 --> 0:28:25.240
<v Speaker 7>amount of demand, which is what makes great secular cyclical opportunity.

0:28:25.720 --> 0:28:27.399
<v Speaker 7>I think where we actually do our job, where we

0:28:27.480 --> 0:28:29.159
<v Speaker 7>make where we can be in a position to make

0:28:29.200 --> 0:28:32.600
<v Speaker 7>the most money is places that have secular tailwinds and

0:28:32.680 --> 0:28:36.280
<v Speaker 7>cyclical headwinds. Okay, right now, most things have cyclical headwinds

0:28:36.320 --> 0:28:38.760
<v Speaker 7>right now because the capital markets. When you ask Paul

0:28:38.840 --> 0:28:41.040
<v Speaker 7>when things are going to come back, until credit comes

0:28:41.040 --> 0:28:42.560
<v Speaker 7>back into the market, we're not going to see it.

0:28:42.760 --> 0:28:45.600
<v Speaker 7>But right now it's a great time to be in warehouses.

0:28:45.640 --> 0:28:48.200
<v Speaker 7>The secular tailwinds are still pretty good, but it's expensive

0:28:48.240 --> 0:28:50.800
<v Speaker 7>to build them, it's expensive to buy them. And so

0:28:50.880 --> 0:28:54.360
<v Speaker 7>if you can figure that out with data, with anything

0:28:54.360 --> 0:28:56.520
<v Speaker 7>else to kind of get an edge, that's good. Housing

0:28:56.640 --> 0:28:58.640
<v Speaker 7>is the best bet in my view right now. And

0:28:58.800 --> 0:29:01.120
<v Speaker 7>this is a US common hap of our portfolios. US

0:29:01.160 --> 0:29:03.520
<v Speaker 7>half as non US people have to live somewhere. We

0:29:03.560 --> 0:29:07.440
<v Speaker 7>have a structural housing shortage, but we have some issues,

0:29:07.560 --> 0:29:10.000
<v Speaker 7>and so to me, it's actually the really interesting.

0:29:09.720 --> 0:29:10.160
<v Speaker 1>Place to be.

0:29:10.320 --> 0:29:12.520
<v Speaker 11>Well, speaking of your portfolio, it's not all bad because

0:29:12.600 --> 0:29:15.080
<v Speaker 11>right here over on Park Avenue four twenty five, I've

0:29:15.080 --> 0:29:16.360
<v Speaker 11>walked by that building many times.

0:29:16.360 --> 0:29:17.640
<v Speaker 8>It's the new Citadel building.

0:29:17.720 --> 0:29:21.880
<v Speaker 11>It is absolutely beautiful and there is the Bental Greek green.

0:29:21.680 --> 0:29:23.360
<v Speaker 8>Oak stamp right on it.

0:29:23.720 --> 0:29:26.080
<v Speaker 11>You know, when we think about this pain though, it

0:29:26.160 --> 0:29:29.719
<v Speaker 11>really comes back to rates, and you've had you know,

0:29:30.000 --> 0:29:33.280
<v Speaker 11>we've stayed in touch, and I know that you've had

0:29:33.280 --> 0:29:36.040
<v Speaker 11>a great call on rates that back in twenty twenty one,

0:29:36.080 --> 0:29:39.360
<v Speaker 11>twenty twenty two, when the Fed forecast or telegraph that

0:29:39.360 --> 0:29:42.320
<v Speaker 11>they were going to raise, you took a particular view.

0:29:42.360 --> 0:29:43.880
<v Speaker 11>Bond traders didn't do this. I know a lot of

0:29:43.920 --> 0:29:46.360
<v Speaker 11>other commercial real estate investors that were more the hopium

0:29:46.680 --> 0:29:49.160
<v Speaker 11>talk to us about what you were seeing, what you did,

0:29:49.320 --> 0:29:50.760
<v Speaker 11>and what it meant for your portfolio.

0:29:50.880 --> 0:29:53.200
<v Speaker 7>So I think, and again I'm not an economist, but

0:29:54.080 --> 0:29:56.720
<v Speaker 7>my philosophy has always been you can do nothing about

0:29:56.720 --> 0:29:58.760
<v Speaker 7>what you can't control, so focus on what you can control.

0:29:58.800 --> 0:30:01.160
<v Speaker 7>We can control the rate environment. So when the FED

0:30:01.240 --> 0:30:03.560
<v Speaker 7>raise rates, and they did it at the pace they

0:30:03.560 --> 0:30:06.280
<v Speaker 7>did it and at the you know, the slope at

0:30:06.280 --> 0:30:08.960
<v Speaker 7>which they did it, our view was we couldn't count

0:30:08.960 --> 0:30:10.480
<v Speaker 7>on when they were going to come back down again.

0:30:10.760 --> 0:30:13.440
<v Speaker 7>That was and so what do we do We invested

0:30:13.480 --> 0:30:16.640
<v Speaker 7>against that. Now, part of it is why did we

0:30:16.760 --> 0:30:18.880
<v Speaker 7>think they were doing what they were doing right? And

0:30:18.920 --> 0:30:20.760
<v Speaker 7>I think a lot of people focused what I would

0:30:20.800 --> 0:30:23.160
<v Speaker 7>say on the demand side. They focus on cash. They

0:30:23.160 --> 0:30:26.040
<v Speaker 7>talked on central banks had pumped in COVID money all

0:30:26.080 --> 0:30:28.560
<v Speaker 7>that stuff. We actually focus on the supply side, the

0:30:28.560 --> 0:30:31.560
<v Speaker 7>benefit of having a big global industrial portfolios. We see

0:30:31.560 --> 0:30:33.800
<v Speaker 7>three put we have a big business in Asia. We

0:30:33.800 --> 0:30:36.680
<v Speaker 7>saw China shut down, the world's largest manufacturer shut down

0:30:36.680 --> 0:30:39.120
<v Speaker 7>for three years. It's a little bit of a statement

0:30:39.160 --> 0:30:41.760
<v Speaker 7>of hyperbole, but they shut down for three years. Our

0:30:41.880 --> 0:30:43.400
<v Speaker 7>view was, you are not going to get back to

0:30:43.440 --> 0:30:46.600
<v Speaker 7>normality until China reopened. China didn't reopen until the end

0:30:46.640 --> 0:30:48.800
<v Speaker 7>of twenty two beginning of twenty twenty three, after the

0:30:48.960 --> 0:30:52.040
<v Speaker 7>five year Congress. So until that happened, it was our

0:30:52.080 --> 0:30:53.800
<v Speaker 7>vu that you weren't going to see stuff come back

0:30:53.840 --> 0:30:56.520
<v Speaker 7>to normal again, right, whatever normal is, by the way,

0:30:57.600 --> 0:30:59.680
<v Speaker 7>And so the way we kind of thought about it

0:30:59.720 --> 0:31:01.400
<v Speaker 7>is we're going to ignore it. There are a lot

0:31:01.400 --> 0:31:04.760
<v Speaker 7>of people that are trying to invest against, hoping cap rate,

0:31:05.080 --> 0:31:07.640
<v Speaker 7>interest rates to come down quickly and then bet against that.

0:31:08.880 --> 0:31:10.840
<v Speaker 7>I have too much scar tissue from too many other cycles.

0:31:10.880 --> 0:31:14.280
<v Speaker 2>Which you buy a third Avenue office building today at

0:31:14.280 --> 0:31:16.160
<v Speaker 2>thirty cents on the dollar, I think.

0:31:16.640 --> 0:31:19.680
<v Speaker 7>They're plenty on offer, and we haven't bought any yet.

0:31:20.000 --> 0:31:23.120
<v Speaker 7>All Right, at some point it will get interesting. I

0:31:23.120 --> 0:31:25.600
<v Speaker 7>think the issue right now, back to the cyclical secular

0:31:25.680 --> 0:31:29.080
<v Speaker 7>thing is there's so many headwinds to office right now, and.

0:31:29.000 --> 0:31:30.040
<v Speaker 11>We're about conversion.

0:31:30.840 --> 0:31:34.840
<v Speaker 7>So conversion looks great theoretically. It sounds great theoretically, but

0:31:34.880 --> 0:31:36.720
<v Speaker 7>if you talk about one of those Third Avenue office

0:31:36.720 --> 0:31:39.080
<v Speaker 7>buildings with a forty thousand square foot floor plate and

0:31:39.120 --> 0:31:42.000
<v Speaker 7>you try to actually cut that up into an apartment,

0:31:42.000 --> 0:31:44.239
<v Speaker 7>people are going to be living in Bowling alleys. And

0:31:44.280 --> 0:31:48.000
<v Speaker 7>that's basically if you just visualize it. So, actually, conversion

0:31:48.000 --> 0:31:51.440
<v Speaker 7>work great. Downtown after nine to eleven, a lot of

0:31:51.480 --> 0:31:54.800
<v Speaker 7>stuff got converted, but those are older buildings with better ceiling,

0:31:54.840 --> 0:31:57.600
<v Speaker 7>heights and other stuff. They converted a lot to multifamily

0:31:57.680 --> 0:32:00.720
<v Speaker 7>and a lot to hotels, bigger window, every of that

0:32:00.760 --> 0:32:02.760
<v Speaker 7>sounds but yeah, yeah, people never used to live on

0:32:02.800 --> 0:32:07.200
<v Speaker 7>Wall Street. Now people live on Wall Street. But that's why, Look,

0:32:07.200 --> 0:32:09.320
<v Speaker 7>it's gonna be a it's gonna be a slow grind too.

0:32:09.600 --> 0:32:11.960
<v Speaker 6>So when you say office building is publishing thirty cents

0:32:11.960 --> 0:32:14.400
<v Speaker 6>on the dollar, yeah, I get that. We're still in

0:32:14.400 --> 0:32:17.280
<v Speaker 6>the headwind place. Yeah, but is it like fifteen cents

0:32:17.280 --> 0:32:19.800
<v Speaker 6>on the dollar. You're like, okay, fine, like it when

0:32:19.840 --> 0:32:21.360
<v Speaker 6>did it become a valuation thing.

0:32:23.680 --> 0:32:25.600
<v Speaker 7>It becomes a valuation thing when you have some degree

0:32:25.640 --> 0:32:27.080
<v Speaker 7>conviction you can lease that space.

0:32:27.360 --> 0:32:28.680
<v Speaker 5>Okay, So it still has to come back.

0:32:28.600 --> 0:32:30.320
<v Speaker 7>To the fun It has to come back to the fundamental.

0:32:30.360 --> 0:32:31.920
<v Speaker 7>So that has to come back to that number one.

0:32:32.000 --> 0:32:35.080
<v Speaker 7>Number two, the financing markets are upside down for real estate.

0:32:35.720 --> 0:32:37.360
<v Speaker 7>You know there's news today about it.

0:32:37.360 --> 0:32:41.040
<v Speaker 2>You've got banks that they kill free business. They wine

0:32:41.120 --> 0:32:43.600
<v Speaker 2>and dine you for thirty years. Now you go back

0:32:43.640 --> 0:32:45.840
<v Speaker 2>to them. Now I need the money. Well, I could

0:32:45.880 --> 0:32:48.960
<v Speaker 2>buy this B plus property on Third Aven thirty cents

0:32:49.000 --> 0:32:49.400
<v Speaker 2>on a dollar.

0:32:49.520 --> 0:32:50.720
<v Speaker 3>You know this is a good deal.

0:32:51.000 --> 0:32:51.120
<v Speaker 4>Right.

0:32:51.360 --> 0:32:53.959
<v Speaker 7>Well, look, first of all, most many managers of our

0:32:54.000 --> 0:32:56.360
<v Speaker 7>scale are both on the equity. So twenty billion of

0:32:56.360 --> 0:32:58.400
<v Speaker 7>our eighty five billion. We're a lender, okay, all right,

0:32:58.440 --> 0:33:00.640
<v Speaker 7>So we have a lending business. So the pain I

0:33:01.280 --> 0:33:04.040
<v Speaker 7>am seeing our lenders bear right now, we bear as

0:33:04.040 --> 0:33:10.760
<v Speaker 7>a lender as well. So that's complicated the regulators. Basel three.

0:33:10.960 --> 0:33:14.600
<v Speaker 7>There are a lot of headwinds against banks, regular way

0:33:14.640 --> 0:33:17.640
<v Speaker 7>banks coming back into commercial real estate lending. That's why

0:33:17.640 --> 0:33:19.680
<v Speaker 7>the private markets have exploded the way they have, and

0:33:19.720 --> 0:33:21.480
<v Speaker 7>I think our views that they're going to continue to

0:33:21.480 --> 0:33:25.080
<v Speaker 7>be really robust. But the problem is a first mortgage

0:33:25.520 --> 0:33:28.560
<v Speaker 7>on sixty percent loan to today's value that costs someone

0:33:28.680 --> 0:33:31.840
<v Speaker 7>nine to ten percent is not a normally functioning capital market.

0:33:32.000 --> 0:33:33.520
<v Speaker 11>This is not well, you know, to pick up on

0:33:33.600 --> 0:33:36.240
<v Speaker 11>something that Alex and Paul were just asking about relative

0:33:36.320 --> 0:33:40.560
<v Speaker 11>and Alex in particular the valuation so Igon Namdar not

0:33:40.640 --> 0:33:43.080
<v Speaker 11>so long ago one even further, he was saying some

0:33:43.120 --> 0:33:44.840
<v Speaker 11>of these buildings you could get them at less than

0:33:44.840 --> 0:33:47.280
<v Speaker 11>ten cents on the dollar. He was saying, he thinks

0:33:47.320 --> 0:33:49.440
<v Speaker 11>it's the bottom. It's hard to not think that's the bottom.

0:33:49.440 --> 0:33:51.120
<v Speaker 11>But so many people that I talked to, so many

0:33:51.160 --> 0:33:53.240
<v Speaker 11>of my sources, this is the one point of agreement

0:33:53.320 --> 0:33:55.880
<v Speaker 11>as to whether how much pain is ahead or not.

0:33:56.320 --> 0:33:59.000
<v Speaker 11>That it's going to take a long, long, long time

0:33:59.040 --> 0:34:00.640
<v Speaker 11>to work out. So how long do we just skirt

0:34:00.640 --> 0:34:04.800
<v Speaker 11>along the BOTO just have about twenty seconds?

0:34:04.920 --> 0:34:07.760
<v Speaker 7>Well, if we're just talking about office, I'm not.

0:34:07.760 --> 0:34:08.799
<v Speaker 3>Sure we're at the bottom of out.

0:34:08.840 --> 0:34:10.520
<v Speaker 8>They that's gonna that's interesting though.

0:34:10.600 --> 0:34:11.719
<v Speaker 3>Yeah, I don't know.

0:34:12.000 --> 0:34:13.560
<v Speaker 2>Until I start seeing some of these things on Third

0:34:13.560 --> 0:34:16.319
<v Speaker 2>Avenue start trading in the comparable place in Boston and

0:34:16.360 --> 0:34:18.680
<v Speaker 2>San Francisco, we'll see Sonny CALSI thank you so much

0:34:18.719 --> 0:34:19.160
<v Speaker 2>for joining us.

0:34:19.160 --> 0:34:21.640
<v Speaker 3>Sonny Cawsei is a co chief executive officer.

0:34:21.400 --> 0:34:26.080
<v Speaker 2>B g and Ablegail do Little, markets reporter for Bloomer News,

0:34:26.160 --> 0:34:28.040
<v Speaker 2>joining Talk a little bou comercial real estate. You can't

0:34:28.040 --> 0:34:30.400
<v Speaker 2>put it all in one bucket. It's not all office.

0:34:30.440 --> 0:34:32.280
<v Speaker 2>It's a lot of different stuff out there, but office

0:34:32.360 --> 0:34:33.919
<v Speaker 2>is tough, like keeping track.

0:34:35.320 --> 0:34:39.200
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:34:39.280 --> 0:34:42.359
<v Speaker 1>weekdays at ten am Eastern on Apple card Play and

0:34:42.360 --> 0:34:45.280
<v Speaker 1>Android Auto with the Bloomberg Business App. You can also

0:34:45.360 --> 0:34:48.520
<v Speaker 1>listen live on Amazon Alexa from our flagship New York

0:34:48.600 --> 0:34:51.960
<v Speaker 1>station Just Say Alexa playing Bloomberg eleven thirty.

0:34:53.080 --> 0:34:56.200
<v Speaker 6>Let's get more Now on the money behind this race,

0:34:56.520 --> 0:35:00.880
<v Speaker 6>Max Abelson joins us Bloomberg News finance reporter article about

0:35:00.920 --> 0:35:04.160
<v Speaker 6>the get rich quicks ideas. I was gonna call them schemes,

0:35:04.160 --> 0:35:07.000
<v Speaker 6>but they're not ideas. They're not schemes, they're ideas from

0:35:07.000 --> 0:35:10.080
<v Speaker 6>Wall Street donors. They need to raise money fast for

0:35:10.120 --> 0:35:12.560
<v Speaker 6>president for Vice President Harris Well.

0:35:12.560 --> 0:35:13.799
<v Speaker 12>First of all, I have to give a shout out

0:35:13.800 --> 0:35:16.279
<v Speaker 12>to the journalists who's really responsible.

0:35:15.719 --> 0:35:16.160
<v Speaker 8>For this work.

0:35:16.200 --> 0:35:18.680
<v Speaker 12>Who is Amanda Gordon, My friend and colleague who's been

0:35:18.680 --> 0:35:22.600
<v Speaker 12>reporting on the rich people who love Donald Trump, the

0:35:22.640 --> 0:35:25.040
<v Speaker 12>former president, and the rich people who want to make

0:35:25.200 --> 0:35:26.880
<v Speaker 12>Kamala Harris the next president.

0:35:27.280 --> 0:35:29.320
<v Speaker 8>And you know, listen, I don't want to give the

0:35:29.360 --> 0:35:29.920
<v Speaker 8>wrong idea.

0:35:30.040 --> 0:35:34.839
<v Speaker 12>I mean, wealthy Democratic donors on Wall Street have been,

0:35:34.960 --> 0:35:37.160
<v Speaker 12>you know, putting a lot of money, were putting a

0:35:37.200 --> 0:35:39.480
<v Speaker 12>lot of money into the effort to reelect Biden. It's

0:35:39.520 --> 0:35:41.880
<v Speaker 12>not as if they had closed their purses and their

0:35:41.920 --> 0:35:44.000
<v Speaker 12>wallets and then all of a sudden they're opening it up.

0:35:44.040 --> 0:35:47.480
<v Speaker 12>But I think what Amanda's journalism highlights in a really

0:35:47.600 --> 0:35:51.680
<v Speaker 12>vivid way is that they are going strong, and they're

0:35:51.680 --> 0:35:52.560
<v Speaker 12>going hard, and.

0:35:52.520 --> 0:35:54.760
<v Speaker 8>They don't have a lot of time to raise this money.

0:35:55.080 --> 0:35:57.120
<v Speaker 12>And when I say they, I want to be clear

0:35:57.160 --> 0:35:59.600
<v Speaker 12>that we're talking about, like, you know, essentially the krem

0:35:59.640 --> 0:36:02.800
<v Speaker 12>Delak of Democratic donors. You've got you know, do you

0:36:02.840 --> 0:36:05.400
<v Speaker 12>all know the name Blair Ephron su yep Center View.

0:36:05.480 --> 0:36:08.600
<v Speaker 12>I mean, you got Brad carp that's a Bradcarpey is

0:36:08.600 --> 0:36:10.440
<v Speaker 12>technically a lawyer, but I think there's a part of

0:36:10.480 --> 0:36:11.240
<v Speaker 12>big law that's.

0:36:11.120 --> 0:36:12.720
<v Speaker 8>Essentially an extension of Wall Street.

0:36:12.960 --> 0:36:16.239
<v Speaker 12>You've got Mark Lazari, Ray MacGuire where a profile of

0:36:16.320 --> 0:36:17.320
<v Speaker 12>for BusinessWeek back.

0:36:17.160 --> 0:36:18.239
<v Speaker 8>When he was running for mayor.

0:36:18.239 --> 0:36:22.320
<v Speaker 12>If you all remember that, you know it's funny at Blackstone. Obviously,

0:36:22.400 --> 0:36:25.920
<v Speaker 12>the most important donor inside Blackstone is Steve Schwartzman, who's

0:36:25.920 --> 0:36:27.200
<v Speaker 12>giving a lot of money to Republicans.

0:36:27.239 --> 0:36:28.520
<v Speaker 8>But don't forget Blackstones.

0:36:28.600 --> 0:36:30.840
<v Speaker 12>John Gray is there to you know, I don't know

0:36:30.880 --> 0:36:34.319
<v Speaker 12>if he's essentially probably I'm assuming not wealthy enough to

0:36:34.360 --> 0:36:38.040
<v Speaker 12>counterbalance Schwartzman, but still a lot of money. The list

0:36:38.040 --> 0:36:41.560
<v Speaker 12>goes on, Peter Orzag, Roger Altman. These are the people

0:36:41.560 --> 0:36:45.520
<v Speaker 12>who've been at the highest levels of Wall Street's kind

0:36:45.560 --> 0:36:49.719
<v Speaker 12>of democratic caucus for a long time. And you know,

0:36:49.760 --> 0:36:53.040
<v Speaker 12>you just you just sense a lot of excitement about Harris,

0:36:53.040 --> 0:36:54.720
<v Speaker 12>and they're going to be spending a lot of money.

0:36:54.960 --> 0:36:57.120
<v Speaker 2>It's interesting because I think Wall Street and just business

0:36:57.160 --> 0:36:58.719
<v Speaker 2>in general is trying to get a sense of these

0:36:58.719 --> 0:37:03.040
<v Speaker 2>early days. What is what would a Harris presidency.

0:37:02.560 --> 0:37:04.640
<v Speaker 3>Mean for business? Would it be good for business?

0:37:04.640 --> 0:37:07.280
<v Speaker 2>And I see a man that quotes uh Jim Kramer

0:37:07.320 --> 0:37:11.000
<v Speaker 2>in here telling investors on CNBC Wednesday that Harris Winn

0:37:11.040 --> 0:37:14.239
<v Speaker 2>would quote absolutely absolutely.

0:37:13.719 --> 0:37:16.520
<v Speaker 3>No doubt about an end quote be good for us business.

0:37:16.640 --> 0:37:19.360
<v Speaker 12>Only Jim Kramer would would say no doubt about it,

0:37:19.400 --> 0:37:21.680
<v Speaker 12>when of course no one ever knows what the future holds.

0:37:21.719 --> 0:37:24.640
<v Speaker 12>But you know, speaking of business, I think it's important

0:37:24.640 --> 0:37:28.279
<v Speaker 12>to pause and to remind our listeners that you know

0:37:28.400 --> 0:37:31.080
<v Speaker 12>Donald Trump, we know what Donald Trump will do for

0:37:31.080 --> 0:37:32.759
<v Speaker 12>the business community, and let's talk about it. I mean,

0:37:32.800 --> 0:37:36.680
<v Speaker 12>the big the big news is that he likes low taxes,

0:37:36.760 --> 0:37:39.200
<v Speaker 12>and I mean I mean low corporate taxes and then

0:37:39.239 --> 0:37:43.600
<v Speaker 12>low taxes on on onnwealthy people. He also has pledged

0:37:43.640 --> 0:37:45.920
<v Speaker 12>to deregulate and and he has shown that that that

0:37:45.960 --> 0:37:52.080
<v Speaker 12>he wants to That's why you have real enthusiasm for

0:37:52.200 --> 0:37:55.760
<v Speaker 12>him on Wall Street. You know Howard Lutnick, John Paulson,

0:37:56.239 --> 0:38:02.320
<v Speaker 12>Woody Johnson, John Katzvetids. There are really really deep wells

0:38:02.600 --> 0:38:05.960
<v Speaker 12>of really rich Wall Street executives who want this guy

0:38:06.000 --> 0:38:06.200
<v Speaker 12>to win.

0:38:06.400 --> 0:38:07.120
<v Speaker 8>A Meed Malik.

0:38:07.719 --> 0:38:10.080
<v Speaker 12>They've been raising money for him, They're going to be

0:38:10.160 --> 0:38:12.320
<v Speaker 12>raising money for him. I don't want listeners to think

0:38:13.040 --> 0:38:15.120
<v Speaker 12>that when Wall Street looks at the twenty twenty four

0:38:15.160 --> 0:38:17.840
<v Speaker 12>presidential election, all of their money is going to Democrats,

0:38:17.880 --> 0:38:21.120
<v Speaker 12>because that is not the case. But I think that

0:38:21.160 --> 0:38:25.080
<v Speaker 12>there is a really big part of Wall Street that

0:38:25.120 --> 0:38:28.200
<v Speaker 12>looks at Kamala Harris with a kind of optimism, with

0:38:28.280 --> 0:38:31.120
<v Speaker 12>the kind of optimism that she gets them, that she

0:38:31.320 --> 0:38:33.840
<v Speaker 12>understands them. I don't think they look at her the

0:38:33.880 --> 0:38:36.080
<v Speaker 12>way that they would look at Bernie Sanders or Elizabeth

0:38:36.160 --> 0:38:38.880
<v Speaker 12>Warren as a sort of is a loaded word, but

0:38:38.920 --> 0:38:39.120
<v Speaker 12>as a.

0:38:39.160 --> 0:38:41.120
<v Speaker 8>Kind of enemy. I think they look at her.

0:38:41.120 --> 0:38:42.719
<v Speaker 12>Maybe the right way to say this is as a

0:38:42.760 --> 0:38:44.080
<v Speaker 12>potential ally well.

0:38:43.960 --> 0:38:48.879
<v Speaker 2>I mean, Bloomberg's been reporting that the Harris campaign pulled

0:38:48.920 --> 0:38:51.839
<v Speaker 2>in one hundred million dollars just from the announcement through

0:38:51.880 --> 0:38:56.080
<v Speaker 2>Monday evening. Presumably that's from smaller donations, as opposed to

0:38:56.160 --> 0:38:59.080
<v Speaker 2>point in somebody's Wall Street it is from smaller donations.

0:38:59.120 --> 0:39:00.600
<v Speaker 6>Well, I was going to say to that point that

0:39:01.000 --> 0:39:03.839
<v Speaker 6>it also is from new donors, not just smaller but new,

0:39:03.880 --> 0:39:07.160
<v Speaker 6>which also raises the question that she would be the

0:39:07.200 --> 0:39:12.200
<v Speaker 6>first woman and the first Indian American to be elected president.

0:39:12.400 --> 0:39:15.040
<v Speaker 6>Obviously President Obama was African American, so she would not

0:39:15.080 --> 0:39:17.120
<v Speaker 6>be the first African American. But and the idea is

0:39:17.160 --> 0:39:19.319
<v Speaker 6>are that it is that hope going to bring in

0:39:19.320 --> 0:39:22.360
<v Speaker 6>a lot of new donors that otherwise wouldn't have donated,

0:39:22.480 --> 0:39:23.440
<v Speaker 6>even on the high end.

0:39:23.600 --> 0:39:26.200
<v Speaker 8>Yes, listen to the statistics. That's as stittius, you're ready.

0:39:26.880 --> 0:39:31.239
<v Speaker 12>There are one point one million unique donors, not one

0:39:31.239 --> 0:39:34.759
<v Speaker 12>point one donations, one point one million different donors who

0:39:34.800 --> 0:39:35.719
<v Speaker 12>contributed in that.

0:39:35.640 --> 0:39:36.080
<v Speaker 8>What was it?

0:39:35.920 --> 0:39:40.240
<v Speaker 12>It was like thirty six hours after she announced two thirds,

0:39:40.800 --> 0:39:44.279
<v Speaker 12>not fully two thirds, sixty two percent giving for the

0:39:44.320 --> 0:39:45.120
<v Speaker 12>first time.

0:39:45.280 --> 0:39:45.560
<v Speaker 1>Wow.

0:39:46.520 --> 0:39:50.120
<v Speaker 12>But no matter how much how many small, small donations

0:39:50.120 --> 0:39:52.480
<v Speaker 12>she gets, she's gonna have to raise a lot of money,

0:39:52.560 --> 0:39:53.960
<v Speaker 12>and she's gonna have to do it quickly. So I

0:39:53.960 --> 0:39:56.560
<v Speaker 12>think that the way the landscape looks is that she's

0:39:56.600 --> 0:39:59.240
<v Speaker 12>getting support from like a you know, a Barry Diller,

0:40:00.040 --> 0:40:04.880
<v Speaker 12>you know, a literal billionaire, and she's going to need

0:40:04.920 --> 0:40:08.680
<v Speaker 12>support from from those one point one million unique donors,

0:40:08.719 --> 0:40:10.919
<v Speaker 12>you know, practically two thirds doing it for the first time.

0:40:11.200 --> 0:40:13.120
<v Speaker 8>She is going to be embracing I.

0:40:13.080 --> 0:40:16.440
<v Speaker 12>Think both of those, although obviously I'm pretty sure that

0:40:16.480 --> 0:40:18.719
<v Speaker 12>when it comes to publicly bragging, she's going to be

0:40:18.719 --> 0:40:22.000
<v Speaker 12>publicly bragging about those small donors and not publicly bragging

0:40:22.000 --> 0:40:22.840
<v Speaker 12>about the building.

0:40:23.040 --> 0:40:26.400
<v Speaker 2>On Saturday coming up, Harris is scheduled to appear at

0:40:26.440 --> 0:40:29.799
<v Speaker 2>a donor event featuring the performances of James Taylor, Yo

0:40:29.880 --> 0:40:32.440
<v Speaker 2>Yo Ma and Emmanuel ax sounds.

0:40:32.520 --> 0:40:33.839
<v Speaker 3>It's like an episode from the West Wing.

0:40:35.080 --> 0:40:39.359
<v Speaker 8>Shout out to Yoyoma though I love I love the box, but.

0:40:39.320 --> 0:40:41.680
<v Speaker 3>Don't you want somebody who's more in tune with, you know,

0:40:41.880 --> 0:40:42.920
<v Speaker 3>the younger generation.

0:40:43.000 --> 0:40:45.080
<v Speaker 6>Well she also came out yesterday to Beyonce, which she

0:40:45.120 --> 0:40:49.480
<v Speaker 6>had full rights to use. So there's also that Yo Yoma. Yeah,

0:40:49.880 --> 0:40:52.279
<v Speaker 6>well that's really Beyonce. Yea, this is but this is

0:40:52.800 --> 0:40:54.160
<v Speaker 6>pane Is. You got to have the different level.

0:40:54.200 --> 0:40:55.480
<v Speaker 3>Well, her husband's also in the game.

0:40:55.520 --> 0:40:58.240
<v Speaker 2>He will attend several fundraisers next week, including an event

0:40:58.280 --> 0:41:00.920
<v Speaker 2>in Martha's Vineyard featuring me David Letterman.

0:41:01.040 --> 0:41:03.120
<v Speaker 8>Listen, the kids love Yo Yoma, though, I'm telling you

0:41:04.120 --> 0:41:04.480
<v Speaker 8>they do.

0:41:06.120 --> 0:41:07.320
<v Speaker 5>So I guess, like, what are you trying to appeal to?

0:41:07.360 --> 0:41:09.799
<v Speaker 5>Are you trying to appeal to the kids base?

0:41:09.920 --> 0:41:11.960
<v Speaker 6>So you're trying to appeal to heavy donors, Like what

0:41:12.080 --> 0:41:15.160
<v Speaker 6>is that goal when you're coming out to Beyonce or your.

0:41:15.760 --> 0:41:19.280
<v Speaker 1>You're trying to appeal to the voters, the younger voters especially.

0:41:19.560 --> 0:41:20.360
<v Speaker 8>I can I answer that.

0:41:20.600 --> 0:41:22.560
<v Speaker 12>I want to answer the question. Though Emmanuel axe Ye

0:41:22.800 --> 0:41:25.680
<v Speaker 12>really lovely pianist. Okay, we have listeners to when when

0:41:25.719 --> 0:41:27.279
<v Speaker 12>you're not listening to Blue mcg radio, listen to some

0:41:27.400 --> 0:41:29.320
<v Speaker 12>Manuel acts, great pianists.

0:41:29.360 --> 0:41:31.080
<v Speaker 6>I do love Yo Yom, but then again, I don't

0:41:31.080 --> 0:41:32.879
<v Speaker 6>think I'm the young kids.

0:41:33.360 --> 0:41:35.320
<v Speaker 8>But it's a good metaphor though. It's a good metaphor.

0:41:35.360 --> 0:41:38.759
<v Speaker 12>She's gonna want Beethoven listeners and Mozart listeners and she's

0:41:38.760 --> 0:41:41.200
<v Speaker 12>gonna want Beyonce listeners, And that's a way.

0:41:41.200 --> 0:41:43.440
<v Speaker 8>It's kind of a good simile for the Swifties.

0:41:43.080 --> 0:41:45.520
<v Speaker 3>Where the Swifties, can I get the swiftiest thing that's

0:41:45.560 --> 0:41:46.000
<v Speaker 3>a big coach.

0:41:46.120 --> 0:41:48.720
<v Speaker 6>Actually funny you say that Michael McKee has been texting

0:41:48.719 --> 0:41:50.879
<v Speaker 6>a group chat that we have kind of NonStop as

0:41:50.880 --> 0:41:52.560
<v Speaker 6>to who Taylor swift full indoors?

0:41:52.640 --> 0:41:53.600
<v Speaker 5>Will she endorse.

0:41:53.400 --> 0:41:56.520
<v Speaker 6>Kamala Harris, and will that, you know, move her away

0:41:56.560 --> 0:41:58.480
<v Speaker 6>from any MAGA attendees.

0:41:58.560 --> 0:42:00.879
<v Speaker 5>And I'm trying to be like, dude, chill, that's not.

0:42:00.800 --> 0:42:03.040
<v Speaker 3>Gonna happen, all right, I mean, jesus, this.

0:42:03.160 --> 0:42:06.360
<v Speaker 5>Band's won't for Harris. Yeah, we're good anyway.

0:42:06.440 --> 0:42:08.600
<v Speaker 6>Much more coming up rather at the state of commercial

0:42:08.600 --> 0:42:09.000
<v Speaker 6>real Estate.

0:42:09.000 --> 0:42:11.399
<v Speaker 5>Hey, Max, really appreciate it. Max Abilson joining us.

0:42:11.680 --> 0:42:16.160
<v Speaker 1>This is the Bloomberg Intelligence podcast available on Apples, Spotify,

0:42:16.400 --> 0:42:20.040
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0:42:23.239 --> 0:42:26.680
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0:42:30.080 --> 0:42:31.720
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