WEBVTT - Artificial Intelligence Valuations and Previewing Black Friday

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

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<v Speaker 2>This is Daniel Ives of Webb Bush. First of all,

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<v Speaker 2>rocket It out of Las Vegas with Aston Martin. For

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<v Speaker 2>those of you in radio, he's got the real jacket on,

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<v Speaker 2>like the kind net Lance Alonzo. We're in all that.

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<v Speaker 2>What in Formula one with all the excitement Apple taking

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<v Speaker 2>over the broadcast, Cadillac coming in next year. When you're

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<v Speaker 2>in the pit like you were, What's what's the thing

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<v Speaker 2>that you don't know when you watch on TV?

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<v Speaker 3>I think, I mean my experience at that point.

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<v Speaker 4>I think the thing that people realizes not just how

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<v Speaker 4>loud it is, but especially when you're in and you

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<v Speaker 4>actually have like the headphones on and you hear them

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<v Speaker 4>talking to the drivers. Just a complexity. I mean, that's

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<v Speaker 4>the thing. It's like, it's it's really amazing.

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<v Speaker 2>Did you change a tire?

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<v Speaker 4>I did, but I will tell you at at indy

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<v Speaker 4>five hundred I came close to almost change the entire.

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<v Speaker 3>Okay, to secure liberty media, you can own Formula one

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<v Speaker 3>fw O. NK is the ticker for Liberty Media. You

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<v Speaker 3>can own it as a publican.

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<v Speaker 2>Why is Apple doing that? Explaining just go to Jesse

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<v Speaker 2>Paul's dying to get to Nvidia and you know the

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<v Speaker 2>Google thing and all that. Why is Apple doing Apple TV?

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<v Speaker 2>It's called dad TV because no one watches it. They

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<v Speaker 2>got some product out, they've had some successes, but why

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<v Speaker 2>waste their time on that?

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<v Speaker 3>Yeah?

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<v Speaker 4>I mean to me, it's really it's all about where

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<v Speaker 4>they're ultimately going to take this. I mean in the future.

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<v Speaker 4>And we'll see as Apple ultimately goes down the past

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<v Speaker 4>with Gemini, and in terms of the AI future, they

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<v Speaker 4>need to have as wide of a con ten lenses possible.

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<v Speaker 4>And I think when you look at Apple TV, it's

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<v Speaker 4>all part of Look, the quality speaks for itself. Quantity

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<v Speaker 4>has been the issue, but for them, it's just they're

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<v Speaker 4>going to continue to.

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<v Speaker 3>Have irons in the fire. That's what they're going to do.

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<v Speaker 2>The TV show Pluribus, it's a sci fi thing. She's

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<v Speaker 2>home all alone. Everybody around her is like a droid.

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<v Speaker 2>She's watching surveillance. It was great, why don't you get

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<v Speaker 2>to a video right example?

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<v Speaker 3>So Dan, the AI story here took a little bit

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<v Speaker 3>of return over the last a couple of days. Here

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<v Speaker 3>Meta placing a big chip order with Google, further calling

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<v Speaker 3>to question the position or the dominance position of Nvidiot.

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<v Speaker 3>Give us your thoughts about that on I mean, look.

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<v Speaker 4>Google TPU if especially with with Broadcomm and TSMC is

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<v Speaker 4>the is the builder that's been around for over a decade, right,

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<v Speaker 4>So it's not that it's new per se. I think

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<v Speaker 4>the issue comes down to demand the spy from video

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<v Speaker 4>chips to twelve to one.

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<v Speaker 3>So the reality is the supply of Nvidio chips twelve

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<v Speaker 3>to one watch.

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<v Speaker 4>So look, when you look at Meta like they're not

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<v Speaker 4>going to be able to get everything they need from

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<v Speaker 4>in video, so they got to look outside. When you

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<v Speaker 4>look with googleized, I'd say it's really it's probut three

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<v Speaker 4>to four years behind where Nvidio is. But again on

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<v Speaker 4>some certain instances it could be good enough. And look

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<v Speaker 4>that's where we're going. I mean, the reality is when

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<v Speaker 4>it comes to AMD, when it comes to big tech,

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<v Speaker 4>eventually you need to see Apple, you know, to see Meta,

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<v Speaker 4>you can to see Microsoft. They'll build their own chips

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<v Speaker 4>as well, but there's one chip in the world fuel

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<v Speaker 4>in the AI revolution that's in video.

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<v Speaker 3>So that's kind of how I thought about yesday. I

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<v Speaker 3>was kind of surprised to see the cell off in

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<v Speaker 3>video because my thought was all I hear from guys

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<v Speaker 3>like you and technology folks coming in here is that

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<v Speaker 3>the demand for AI is just I'm not saying satial,

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<v Speaker 3>but boy, it's outstripping supply for sure, and you got

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<v Speaker 3>to get what you can get when you can get it.

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<v Speaker 4>Look, just spending three weeks in Asia, I mean, we've

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<v Speaker 4>seen demand accelerate thirty percent in the last six months

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<v Speaker 4>for AI. So it comes down to like it's easy

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<v Speaker 4>to call say AIS bubble in the spreadsheet and twenty

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<v Speaker 4>fifty four of New York City office building, but when

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<v Speaker 4>you actually see what's happening there. Look, only three percent

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<v Speaker 4>of enterprise in the US have gone down the AI path,

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<v Speaker 4>none in Europe, ajax, China, and now you've seen sovereigns

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<v Speaker 4>in Middle East, and for the first time in thirty years,

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<v Speaker 4>the US has headed China.

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<v Speaker 3>When it comes tack.

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<v Speaker 2>Your piniata on Wall Street, people love to go after

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<v Speaker 2>you on Twitter. It's the close. It's the act and

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<v Speaker 2>all that underneath it. We know, folks, not only Dan Eyes,

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<v Speaker 2>but webbush, there's some prodigious tech chips, like going to Asia,

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<v Speaker 2>like actually walking in a factory, find out what's going on.

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<v Speaker 2>Here's the reality for our listeners, our viewers worldwide. April three,

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<v Speaker 2>a leading newspaper just reporting the news. Apple Shell's shares

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<v Speaker 2>fell more than nine percent in response to the President's

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<v Speaker 2>plan for steep tariffs on products made a broad let

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<v Speaker 2>as sharp set off in tech stocks, which is loaded

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<v Speaker 2>with technology. OMG April thirds sink near six percent. Apple

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<v Speaker 2>is up sixty five percent, printing two to eighty yesterday.

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<v Speaker 2>How do our listeners in viewers digest the news and

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<v Speaker 2>the day to day panic and yet stay on board

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<v Speaker 2>this historic American path.

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<v Speaker 3>Look, and we've talked about so much on the show.

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<v Speaker 4>Over the years, right, I mean, the reality is is

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<v Speaker 4>that there's no bigger consumer install based in the world

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<v Speaker 4>than Apple two point four billion iOS devices, one point

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<v Speaker 4>five billion iPhones. And it comes down besides just the

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<v Speaker 4>cash generating machine, everything we see in services. When you

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<v Speaker 4>look at the AI revolution, Okay, they've looked, they've watched

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<v Speaker 4>it from the stands so far, but now they're about

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<v Speaker 4>to get into the field and actually do it and

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<v Speaker 4>monetize the install based the consumer AI revolution comes to Apple,

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<v Speaker 4>and I think that's something that we're going to see

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<v Speaker 4>with Google partnership and others and Tom I just continue

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<v Speaker 4>view it as like seventy five to one hundred hours

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<v Speaker 4>per share incremental will be.

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<v Speaker 3>Added to Apple for AI And.

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<v Speaker 4>That's my view, Dave David and also look at this

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<v Speaker 4>iPhone seventeen. It's been a surprise upgrade cycle that no

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<v Speaker 4>one expected with Gemini.

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<v Speaker 2>Is Apple under less pressure to do something this whole

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<v Speaker 2>do something, do something?

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<v Speaker 4>I'd say more pressure, but they couldn't do it till

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<v Speaker 4>Google ultimately won the dojsuit. Once they won the dojsuit,

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<v Speaker 4>that's where the candle ideenter between sun Dar and the

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<v Speaker 4>cook start. And I think that's that ultimately is now

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<v Speaker 4>where that's tracking to what can be a deal that

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<v Speaker 4>couldn't have been until they won that deal. And I

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<v Speaker 4>think that's where they're going to go. They're not buying purplexity,

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<v Speaker 4>They're going with Google. They're going to go down bet

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<v Speaker 4>heavily on them.

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<v Speaker 2>Then I was with Wedbush with us here on Wednesday

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<v Speaker 2>before Thanksgiving, is you get ready to travel, the Horde

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<v Speaker 2>comes over to the house. We say good morning all

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<v Speaker 2>the different ways you listen to us. Thank you for

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<v Speaker 2>discovering Bloomberg's surveillance in two thousand and twenty. Will be

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<v Speaker 2>your Friday, Paul Sweeney, your people. It was a big arguments.

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<v Speaker 2>People went back and forth. Yes, yeah, it will be

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<v Speaker 2>your Friday after Thanksgiving, Paul, and talk.

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<v Speaker 3>To us about Meta a little bit. I think that's

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<v Speaker 3>one of the ones the market is unsure of as

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<v Speaker 3>it relates to the AI play there. Stocks down about

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<v Speaker 3>twenty percent from its recent high, so some concerns there.

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<v Speaker 3>How do you position that?

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<v Speaker 4>I think, I mean it's a table pounder by because

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<v Speaker 4>the reason that stocks off is because Zuk right now

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<v Speaker 4>wartime CEO, focus on increasing cap backs over the next

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<v Speaker 4>year in his arms race, and you're and you're seeing

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<v Speaker 4>obviously pressure in terms of earnings and cashle but that's

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<v Speaker 4>that's what you want to see them do. You were

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<v Speaker 4>talking about monetizing the AI revolution over the coming years,

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<v Speaker 4>the three billion users that they basically have when it

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<v Speaker 4>comes to their consumer ecosism, and that's the smart move

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<v Speaker 4>I think right now, investors, it's very easy knee jerk

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<v Speaker 4>with the bury, the AI bubble, all the worries.

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<v Speaker 3>The reality is.

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<v Speaker 4>That there's two more years and weise left in this

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<v Speaker 4>tech ball market. You're in year three of an eight

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<v Speaker 4>to ten year build and it is truly a fourth

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<v Speaker 4>in dustrial revolution. I think Meta is going to be

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<v Speaker 4>proven that this is the right move what they're doing in.

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<v Speaker 2>The ZEITGEISTI this weekend is the partition that yes, we

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<v Speaker 2>appear to be using AI for search stuff In Paul

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<v Speaker 2>Sweeney the other day goes, should I go with the

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<v Speaker 2>ocean space cranberry or something homemade, you know that kind

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<v Speaker 2>of stuff, or like task driven AI? When do you

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<v Speaker 2>perceive America makes the shift to a more sophisticated use

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<v Speaker 2>of AI.

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<v Speaker 3>Yeah, it's a great qub. But today it's enterprise.

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<v Speaker 4>I mean, the reality is the consumer AI revolution hasn't started.

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<v Speaker 4>Chat GPTAM, we see that, but it's all enterprise. I mean,

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<v Speaker 4>this spending we're talking about called next two to three trillion,

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<v Speaker 4>it's just the enterprise. When it talks about consumer, it's

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<v Speaker 4>our autonomous humanoid robotics.

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<v Speaker 3>It's the future, the consum.

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<v Speaker 4>Goddamn robot to make my cranberry Sauce Switten, you're what's

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<v Speaker 4>happening again? And I continue to meet the call. Keen

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<v Speaker 4>will be in a rubotaxi in your the other day

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<v Speaker 4>that I thought Ludlow and again you never know, it

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<v Speaker 4>could be Ludlow.

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<v Speaker 3>So all right, let's go to that robotics and all

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<v Speaker 3>that kind of stuff, because that's kind of the story

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<v Speaker 3>behind teslaly these days it's not about bending steel and

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<v Speaker 3>making cars and things like that. So the stocks up

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<v Speaker 3>four percent year today, so it's really lagging the market.

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<v Speaker 3>It's come back from I guess the biggest concerns where

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<v Speaker 3>we were several months ago. But when you talk to

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<v Speaker 3>your institutions, our clients, what are they telling you.

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<v Speaker 4>I mean, it's it's all about the future. I believe

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<v Speaker 4>autonomous and ultimately optimists about will be the most important

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<v Speaker 4>chapter ever in Tesla's growth story. And I think now

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<v Speaker 4>must being wartime CEO have in the compackage, you know,

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<v Speaker 4>potentially trillion dollar men. This will now define Tesla. And

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<v Speaker 4>I also think you're gonn see a regulatory road map

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<v Speaker 4>that's going to ease when it comes to autonomous, specifically

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<v Speaker 4>on the robotaxi build out. You're gonna have thirty thirty

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<v Speaker 4>five cities, and I think WIMA is basically going to

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<v Speaker 4>be around the are a relative to where I see Tesla.

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<v Speaker 2>Let's go to our three radio stations. Good Morning ninety

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<v Speaker 2>two nine FM, Boston ninety nine one FM, Nathan Hager

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<v Speaker 2>Radio in Washington, here Bloomberg eleven three zero. How is

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<v Speaker 2>a robotaxi get across the Charles River right by MI

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<v Speaker 2>T How does a robot get turn left there and support?

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<v Speaker 2>How does a robotaxi get around DuPont Circle? How does

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<v Speaker 2>a robotaxi get down Fifth Avenue right outside the Trump Tower?

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<v Speaker 2>I don't get it.

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<v Speaker 4>Look, I mean, do you look at it? It's data driven.

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<v Speaker 4>I mean the reality is is that is.

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<v Speaker 2>Your proof of concept that they can handle normal urban traffic.

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<v Speaker 4>What everything I've seen, and obviously we've been there in Austin,

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<v Speaker 4>You're going to continue to see to expand you know,

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<v Speaker 4>across you know, many cities over the next few months.

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<v Speaker 3>I believe we're there now.

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<v Speaker 4>I'm not saying that there's you're gonna see the GEO

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<v Speaker 4>offense area continued expand, but it's my view next few years,

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<v Speaker 4>twenty percent of cars on the road when you're whether

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<v Speaker 4>it's New York City, whether it's Boston, whether scot you're

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<v Speaker 4>gonna look around and you're gonna and you're not gonna

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<v Speaker 4>see a driver.

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<v Speaker 2>Enough check what's your single best buy right now? Is

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<v Speaker 2>it matter or is something different?

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<v Speaker 4>I mean to me single best buy writ or is

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<v Speaker 4>Microsoft the relative to what we see in terms of

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<v Speaker 4>the stock.

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<v Speaker 3>I sit down because the view that.

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<v Speaker 4>Now Google, now Amazon and others on the hyperscale are

0:11:38.160 --> 0:11:40.400
<v Speaker 4>going to sort of eat their lunch. Gook, what's happening

0:11:40.480 --> 0:11:43.480
<v Speaker 4>Oracle as well? It just look New York City cab

0:11:43.600 --> 0:11:47.880
<v Speaker 4>driver was bearish on Alphabet Google start the year. Today

0:11:48.240 --> 0:11:50.920
<v Speaker 4>they're barish on Microsoft. And I think that's why that

0:11:50.960 --> 0:11:52.160
<v Speaker 4>has one hundred hour upside.

0:11:52.600 --> 0:11:59.440
<v Speaker 2>Okay on Microsoft just is one example. Are they open Ai?

0:11:59.640 --> 0:12:01.199
<v Speaker 2>Sam what's his name, Sam Altman?

0:12:01.320 --> 0:12:01.720
<v Speaker 3>Sam Almon?

0:12:02.480 --> 0:12:05.440
<v Speaker 2>Are they down because they're affiliated with Sam Altman?

0:12:05.840 --> 0:12:09.320
<v Speaker 4>I think, just like just like Oracle, there's that too

0:12:09.360 --> 0:12:13.160
<v Speaker 4>big to fail concept right where anyone that touches open

0:12:13.200 --> 0:12:16.959
<v Speaker 4>AI that's ultimately been an overhang. But it comes down

0:12:17.080 --> 0:12:19.960
<v Speaker 4>to like that would be like me being like, okay,

0:12:20.040 --> 0:12:22.920
<v Speaker 4>if I could have more Peter luger Steak, would I

0:12:23.040 --> 0:12:23.480
<v Speaker 4>have it?

0:12:23.720 --> 0:12:25.400
<v Speaker 3>Or would I rather own white Castle.

0:12:25.520 --> 0:12:28.240
<v Speaker 2>Actually at Bush you gotta be going pay.

0:12:28.200 --> 0:12:30.719
<v Speaker 3>Yeah again, you gotta go Lugers. But the reality is

0:12:30.760 --> 0:12:34.199
<v Speaker 3>that open AI. It's the Peter Lugers of technology.

0:12:34.280 --> 0:12:37.160
<v Speaker 4>You want to be associated with it, not not associated

0:12:37.240 --> 0:12:38.160
<v Speaker 4>those are you on YouTube?

0:12:38.200 --> 0:12:40.440
<v Speaker 2>The interns are in her ears. We got these holiday

0:12:40.480 --> 0:12:43.280
<v Speaker 2>interns and Sweeney's intern It's from Penn State.

0:12:43.320 --> 0:12:45.720
<v Speaker 3>I'm shocked we are. Nobody cares we are.

0:12:45.880 --> 0:12:48.200
<v Speaker 2>Paul Damn Penn State. Go Paul.

0:12:48.679 --> 0:12:49.600
<v Speaker 3>Who's going to be the coach?

0:12:49.679 --> 0:12:50.480
<v Speaker 5>Do you think? I mean?

0:12:50.520 --> 0:12:53.439
<v Speaker 3>Look, I think we'll see it probably Monday. Oh okay,

0:12:53.920 --> 0:12:54.720
<v Speaker 3>that was actual.

0:12:55.679 --> 0:12:58.280
<v Speaker 4>I continue to think it's you know, it's either Chesney

0:12:58.320 --> 0:13:02.760
<v Speaker 4>from JMU did that you know? Or there could be

0:13:02.800 --> 0:13:05.839
<v Speaker 4>a mystery candidate that will see how that emerged over

0:13:05.880 --> 0:13:06.760
<v Speaker 4>the coming days.

0:13:07.120 --> 0:13:10.199
<v Speaker 3>So I think a mystery candle.

0:13:11.880 --> 0:13:17.000
<v Speaker 4>Not no, not no, please, and we better days are

0:13:17.040 --> 0:13:19.040
<v Speaker 4>ahead for Pensate after a dark year.

0:13:19.120 --> 0:13:22.439
<v Speaker 2>Okay, all I asked, you're such a hitter and you're

0:13:22.480 --> 0:13:24.600
<v Speaker 2>so f one. Next time you go to F one,

0:13:25.080 --> 0:13:29.960
<v Speaker 2>take young John Farroll with you, like playing.

0:13:31.320 --> 0:13:34.600
<v Speaker 4>The reason I got into F one it was Netflix

0:13:34.920 --> 0:13:36.280
<v Speaker 4>and Farah.

0:13:36.000 --> 0:13:40.559
<v Speaker 2>Yeah yeah, yeah, I mean he he's like head to

0:13:40.559 --> 0:13:41.320
<v Speaker 2>Toad Ferrari.

0:13:41.520 --> 0:13:43.640
<v Speaker 3>Sure, I mean you know, I mean, you know that's

0:13:43.679 --> 0:13:44.320
<v Speaker 3>how you roll.

0:13:44.320 --> 0:13:47.240
<v Speaker 2>The whole Thing's where's your next f one you're going to?

0:13:47.520 --> 0:13:50.720
<v Speaker 4>I mean I have a few, but uh a few

0:13:50.800 --> 0:13:52.720
<v Speaker 4>on the docket, you know, Mid Middle.

0:13:52.559 --> 0:13:54.480
<v Speaker 3>East and and some other ones.

0:13:55.160 --> 0:13:57.720
<v Speaker 2>Dan, I thank you to extended a conversation, a lot

0:13:57.720 --> 0:14:00.800
<v Speaker 2>of good information there with his single best by the

0:14:00.880 --> 0:14:05.880
<v Speaker 2>gentleman from Microsoft. Stay with us. More from Bloomberg Surveillance

0:14:05.920 --> 0:14:07.280
<v Speaker 2>coming up after this.

0:14:14.520 --> 0:14:18.080
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:14:18.160 --> 0:14:21.360
<v Speaker 1>weekday afternoons from seven to ten am Eastern. Listen on

0:14:21.400 --> 0:14:25.080
<v Speaker 1>Applecarplay and Android Auto with the Bloomberg Business app, or

0:14:25.200 --> 0:14:26.680
<v Speaker 1>watch us live on YouTube.

0:14:26.720 --> 0:14:29.960
<v Speaker 2>We got people out there, really in the trenches about

0:14:30.040 --> 0:14:34.320
<v Speaker 2>thinking of the future of retail. Tiffany joins us right

0:14:34.360 --> 0:14:39.120
<v Speaker 2>now out of pen out of Northwestern their fabulous NBA program.

0:14:39.520 --> 0:14:43.200
<v Speaker 2>She's a Boston consulting group and most she's like not

0:14:43.320 --> 0:14:47.000
<v Speaker 2>every day, but every third day at Highland Park in Dallas. Yeah,

0:14:47.000 --> 0:14:49.520
<v Speaker 2>I mean that's the way she will. Tiffany, thank you

0:14:49.560 --> 0:14:53.920
<v Speaker 2>for joining Surveillance this morning. Let's start. There is Luxury fixed,

0:14:54.160 --> 0:14:57.760
<v Speaker 2>I mean, there's this China. OMG, China is terrible, but

0:14:57.840 --> 0:15:01.400
<v Speaker 2>America is doing great double digit growth. Where does luxury

0:15:01.480 --> 0:15:03.120
<v Speaker 2>fit in for the holiday season?

0:15:04.640 --> 0:15:08.160
<v Speaker 6>Sure, luxury is one of those categories where based on

0:15:08.200 --> 0:15:11.400
<v Speaker 6>our recent survey, we are planning on seeing some recovery

0:15:11.520 --> 0:15:13.640
<v Speaker 6>during the Black Friday season. It was one of the

0:15:13.640 --> 0:15:17.200
<v Speaker 6>categories that when we surveyed across we saw increase and spend.

0:15:17.800 --> 0:15:19.800
<v Speaker 2>Black Friday used to be one hour in front of

0:15:19.880 --> 0:15:24.480
<v Speaker 2>Walmart exact thousand people and Tiffany says, it's a season helpul.

0:15:24.240 --> 0:15:27.720
<v Speaker 3>Yeah, And here's something that surprised me, Tom. In store

0:15:27.760 --> 0:15:32.000
<v Speaker 3>shopping is making a big comeback as fewer only shop online.

0:15:32.040 --> 0:15:34.720
<v Speaker 3>Tiffy talk us about that if I had never gone

0:15:34.720 --> 0:15:35.920
<v Speaker 3>to a store again, I'll be happy.

0:15:37.640 --> 0:15:40.400
<v Speaker 6>Well, what we're actually seeing is that most shoppers are

0:15:40.440 --> 0:15:44.000
<v Speaker 6>planning on shopping both in store and online this holiday season,

0:15:44.200 --> 0:15:45.840
<v Speaker 6>and the reason that they want to go back and

0:15:45.960 --> 0:15:49.440
<v Speaker 6>store is they want to touch and feel the products right,

0:15:49.480 --> 0:15:52.040
<v Speaker 6>they want to be a part of experiential retail. They

0:15:52.080 --> 0:15:55.200
<v Speaker 6>want personalized help as they shop. And it's really in

0:15:55.240 --> 0:15:57.320
<v Speaker 6>line with what we've been seeing all year long with

0:15:57.440 --> 0:16:00.200
<v Speaker 6>mall traffic continuing to come back and store per just

0:16:00.320 --> 0:16:04.080
<v Speaker 6>is coming back as well as the hybrid shopping channel,

0:16:04.080 --> 0:16:05.920
<v Speaker 6>if you will, becomes the norm. And I want to

0:16:05.920 --> 0:16:08.720
<v Speaker 6>emphasize that point on hybrid because we are really seeing

0:16:08.760 --> 0:16:12.800
<v Speaker 6>consumers grow across channels during their shopping journeys, including how

0:16:12.840 --> 0:16:13.680
<v Speaker 6>they're using AI.

0:16:14.280 --> 0:16:16.280
<v Speaker 3>All right, so talk to us about AI. Can AI

0:16:16.440 --> 0:16:18.720
<v Speaker 3>like kind of make my shopping list for me and

0:16:18.880 --> 0:16:20.960
<v Speaker 3>kind of go and buy the stuff for me.

0:16:22.400 --> 0:16:24.000
<v Speaker 2>AI can definitely do both.

0:16:24.080 --> 0:16:27.840
<v Speaker 6>Now that being said, I would say most consumers are

0:16:27.920 --> 0:16:32.720
<v Speaker 6>still using AI more in their initial shopping research and inspiration,

0:16:33.440 --> 0:16:37.080
<v Speaker 6>and we actually found that about fifty percent of consumers

0:16:37.160 --> 0:16:39.440
<v Speaker 6>plan on using AI in this holiday season.

0:16:39.800 --> 0:16:41.640
<v Speaker 2>I'm addicted to it. I did have to do a

0:16:41.640 --> 0:16:43.920
<v Speaker 2>search gyst today. You ready dark chocolate?

0:16:44.080 --> 0:16:44.400
<v Speaker 3>Okay?

0:16:44.520 --> 0:16:48.520
<v Speaker 2>I know nothing about dark chocolate. I grew up with Bosco. Yes, okay,

0:16:48.920 --> 0:16:53.280
<v Speaker 2>dark chocolate. I go to Perplexity, Tiffany, dark chocolate, Boom.

0:16:53.280 --> 0:16:56.880
<v Speaker 2>There's like three types to buy, just like that, Okay, Tiffany.

0:16:56.920 --> 0:17:00.600
<v Speaker 2>The basic BCG question and Paul brought this up yesterday.

0:17:00.920 --> 0:17:05.000
<v Speaker 2>What inning are we in for the growth of online,

0:17:05.119 --> 0:17:08.199
<v Speaker 2>for the growth of Amazon in Walmart. If it's a

0:17:08.200 --> 0:17:11.280
<v Speaker 2>baseball game Della's, does Dallas have a baseball day in

0:17:11.320 --> 0:17:14.840
<v Speaker 2>the Texas range. Oh they did, sure, Yeah, yeah, But Tiffany,

0:17:14.920 --> 0:17:19.480
<v Speaker 2>what inning are we in with our online experience?

0:17:21.440 --> 0:17:21.840
<v Speaker 7>I think it.

0:17:21.800 --> 0:17:23.800
<v Speaker 6>Depends a little bit on what angle you're looking at

0:17:23.840 --> 0:17:26.440
<v Speaker 6>it from. But if you think about where we are,

0:17:27.000 --> 0:17:29.080
<v Speaker 6>I would say we're still in the middle of the game.

0:17:29.400 --> 0:17:32.720
<v Speaker 6>Because you know, you mentioned perplexity, right, large language models

0:17:32.760 --> 0:17:36.320
<v Speaker 6>like chat GBT, they are really changing what the potential

0:17:36.359 --> 0:17:39.560
<v Speaker 6>shopping journey is and that you know, retailers have to

0:17:39.560 --> 0:17:42.159
<v Speaker 6>think about what their strategy is within that it's not

0:17:42.200 --> 0:17:44.920
<v Speaker 6>an all or nothing game, and so how they think

0:17:44.960 --> 0:17:47.680
<v Speaker 6>about you know, showing up in AI search becomes more

0:17:47.680 --> 0:17:48.480
<v Speaker 6>important than ever.

0:17:48.560 --> 0:17:51.760
<v Speaker 3>Now, how are the how are the retailers dealing with

0:17:52.040 --> 0:17:56.359
<v Speaker 3>UH tariffs here and passing along whatever cost increases they

0:17:56.440 --> 0:17:59.359
<v Speaker 3>might be bearing. Are they taking it in their margin?

0:17:59.400 --> 0:18:02.160
<v Speaker 3>Are they trying to pass along customers? How's that playing

0:18:02.160 --> 0:18:06.040
<v Speaker 3>out here? Because we don't hear as much about teriffs

0:18:06.080 --> 0:18:07.640
<v Speaker 3>as we did, you know, maybe the beginning of the year.

0:18:08.960 --> 0:18:12.000
<v Speaker 6>Yeah, I think everyone's settled into sort of this new

0:18:12.080 --> 0:18:14.479
<v Speaker 6>norm when it comes to tariffs, if you will, And

0:18:14.880 --> 0:18:17.560
<v Speaker 6>it's a mixture both definitely, right, They've taken some in

0:18:17.600 --> 0:18:20.760
<v Speaker 6>their margins, they have passed them along through and for.

0:18:20.680 --> 0:18:21.720
<v Speaker 2>This holiday season.

0:18:21.840 --> 0:18:24.960
<v Speaker 6>They know that consumers right still have expectations when it

0:18:25.000 --> 0:18:28.120
<v Speaker 6>comes to discounting promotions, right, and so they're making sure

0:18:28.160 --> 0:18:30.000
<v Speaker 6>that they can meet those expectations pretty quickly.

0:18:30.040 --> 0:18:32.640
<v Speaker 2>Or one final question. Okay, so all of us are

0:18:32.680 --> 0:18:36.400
<v Speaker 2>buying off this affirm kind of thing where it's set

0:18:36.400 --> 0:18:38.639
<v Speaker 2>out in payments. I don't know what you call it,

0:18:38.680 --> 0:18:41.080
<v Speaker 2>like a firm and you know all the others folks.

0:18:41.320 --> 0:18:43.560
<v Speaker 2>If I go into a given store, they want all

0:18:43.600 --> 0:18:46.199
<v Speaker 2>my money now or a charge card. But if I

0:18:46.240 --> 0:18:49.240
<v Speaker 2>buy online, I can spread out the payments. How is it?

0:18:49.240 --> 0:18:52.240
<v Speaker 2>Where do you see that dynamic in two years?

0:18:52.240 --> 0:18:56.520
<v Speaker 6>In five years, sure, we've seen actually a stabilization in

0:18:56.520 --> 0:18:59.720
<v Speaker 6>the buy now, pay later trend. So while there's still

0:18:59.720 --> 0:19:02.400
<v Speaker 6>a consumer and still categories that that's going to play

0:19:02.400 --> 0:19:05.320
<v Speaker 6>a meaningful role. I think we're seeing it balanced with

0:19:05.720 --> 0:19:07.480
<v Speaker 6>those desires to go in the store that I was

0:19:07.520 --> 0:19:09.399
<v Speaker 6>talking about and the benefits that you get when you

0:19:09.440 --> 0:19:10.040
<v Speaker 6>go in store.

0:19:10.920 --> 0:19:14.880
<v Speaker 2>Is Highland Park. I've never been Tiffany in Dallas. Highland

0:19:14.920 --> 0:19:17.920
<v Speaker 2>Park is like that's sort of like where they invented

0:19:18.320 --> 0:19:20.159
<v Speaker 2>one stop luxury.

0:19:19.680 --> 0:19:23.720
<v Speaker 6>Right there, we do have a really lovely shopping center

0:19:23.720 --> 0:19:26.159
<v Speaker 6>in Highland Park that has a lot of great luxury stores.

0:19:26.520 --> 0:19:29.720
<v Speaker 2>Give us one experience. Come on, come on, not using

0:19:29.800 --> 0:19:34.119
<v Speaker 2>the BCG MX, I mean, what's your favorite store?

0:19:35.640 --> 0:19:38.480
<v Speaker 6>Well, I must admit my favorite store in Highland Park

0:19:38.560 --> 0:19:42.720
<v Speaker 6>is actually a bakery. It's called Bakery, and I love

0:19:42.840 --> 0:19:44.520
<v Speaker 6>the I love the bakers there.

0:19:44.520 --> 0:19:45.920
<v Speaker 2>They make an excellent scone.

0:19:46.119 --> 0:19:48.240
<v Speaker 8>Great you get to come back in the show, Michael

0:19:48.240 --> 0:19:51.520
<v Speaker 8>Barr says, bring her back, Tiffany, thank you so much

0:19:51.520 --> 0:19:54.359
<v Speaker 8>with BCG Dallas here to get a sense of where

0:19:54.359 --> 0:19:56.840
<v Speaker 8>we are in this retail season.

0:19:56.920 --> 0:20:00.399
<v Speaker 2>It's a journey, she said, Stay with us. More Fromloomberg

0:20:00.520 --> 0:20:09.600
<v Speaker 2>Surveillance coming up after this.

0:20:09.600 --> 0:20:13.520
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:20:13.520 --> 0:20:16.840
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:20:16.960 --> 0:20:19.920
<v Speaker 1>with the Bloomberg Business App. You can also listen live

0:20:20.000 --> 0:20:23.600
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:20:23.640 --> 0:20:26.200
<v Speaker 1>say Alexa play Bloomberg eleven thirty.

0:20:26.640 --> 0:20:30.840
<v Speaker 2>For the arguments in the kitchen, out in the back porch,

0:20:31.720 --> 0:20:35.000
<v Speaker 2>at the Thanksgiving table, Sure where you're getting an evil

0:20:35.040 --> 0:20:40.919
<v Speaker 2>lie from Grandma about the market. You just wish you

0:20:41.000 --> 0:20:46.400
<v Speaker 2>were sitting at Thanksgiving with Andrew Slimman, Morgan Stanley investment manager.

0:20:46.840 --> 0:20:49.760
<v Speaker 2>He writes one of the most intelligent notes on the street.

0:20:49.840 --> 0:20:53.040
<v Speaker 2>Get it from Morgan Stanley and protect the copyright of

0:20:53.080 --> 0:20:57.160
<v Speaker 2>all our guests. And he's basically saying, forget market timing.

0:20:57.880 --> 0:21:02.800
<v Speaker 2>You have to participate in the American experiment. Andrew skrilled

0:21:02.840 --> 0:21:06.600
<v Speaker 2>to have you on the day before Thanksgiving. How do

0:21:06.640 --> 0:21:11.359
<v Speaker 2>you develop the faith and belief the conviction to own

0:21:11.560 --> 0:21:14.000
<v Speaker 2>equities after this great bull run?

0:21:15.920 --> 0:21:18.159
<v Speaker 9>Well, Tom, Before I begin, I got to say that

0:21:18.240 --> 0:21:20.960
<v Speaker 9>was the most unique introduction I've ever sived.

0:21:21.040 --> 0:21:24.760
<v Speaker 2>So congratulates worst has given me the beverage of her

0:21:24.840 --> 0:21:28.760
<v Speaker 2>choice before she's trying the mold whatever it is. I'm

0:21:28.880 --> 0:21:30.199
<v Speaker 2>here continue, Andrew.

0:21:30.920 --> 0:21:33.760
<v Speaker 9>So I'll give you the answer if I go to

0:21:33.800 --> 0:21:38.520
<v Speaker 9>my Bloomberg terminal and I look at what has worked

0:21:38.640 --> 0:21:44.800
<v Speaker 9>from a style standpoint the last ten years, value growth, dividends.

0:21:45.240 --> 0:21:48.840
<v Speaker 9>What's worked according to your bloom work, It is momentum

0:21:48.960 --> 0:21:52.919
<v Speaker 9>number one and revisions number two. Long down the list

0:21:53.080 --> 0:21:57.760
<v Speaker 9>is things like dividends, quality, value growth. It is momentum

0:21:57.840 --> 0:22:02.560
<v Speaker 9>and revisions. And the reality of the market is that

0:22:03.000 --> 0:22:07.640
<v Speaker 9>earnings i e. Revisions are very strong right now because

0:22:07.760 --> 0:22:12.560
<v Speaker 9>the economy, for all the talk, earnings have come in

0:22:12.720 --> 0:22:17.280
<v Speaker 9>better than what really Wall Street thought, certainly since April,

0:22:17.359 --> 0:22:20.280
<v Speaker 9>but even since the beginning of the year, and.

0:22:20.400 --> 0:22:22.000
<v Speaker 5>So that's the end of day.

0:22:22.040 --> 0:22:25.760
<v Speaker 9>It's a long winded way of saying stocks move with

0:22:26.280 --> 0:22:31.919
<v Speaker 9>the second derivative, which is earnings revisions, because stock prices

0:22:32.000 --> 0:22:35.680
<v Speaker 9>in bed today expectations of the future. You don't buy

0:22:35.720 --> 0:22:38.080
<v Speaker 9>a stock based on what's happened in the past. You

0:22:38.160 --> 0:22:41.160
<v Speaker 9>buy it based in the future. And if the future

0:22:41.359 --> 0:22:44.960
<v Speaker 9>looks better than what is expected, stock prices go up.

0:22:45.000 --> 0:22:48.399
<v Speaker 9>And if it's worse, Tom you know, in other words,

0:22:48.440 --> 0:22:51.440
<v Speaker 9>I've not since I've been in this business, or stocks.

0:22:51.080 --> 0:22:53.080
<v Speaker 5>Don't go up for long when.

0:22:52.880 --> 0:22:54.640
<v Speaker 9>Companies are telling you businesses is as.

0:22:54.560 --> 0:22:55.360
<v Speaker 5>Good as expected.

0:22:55.480 --> 0:22:59.760
<v Speaker 9>So what gives me faith is I see a positive

0:23:00.520 --> 0:23:02.000
<v Speaker 9>for earnings.

0:23:02.720 --> 0:23:05.320
<v Speaker 2>Bottle it. That's the single best idea today.

0:23:05.400 --> 0:23:08.320
<v Speaker 3>Just wonderfully, Andrew, Andrew, I guess we're entering I guess

0:23:08.359 --> 0:23:11.320
<v Speaker 3>what is the fourth year of this current bull market here?

0:23:11.520 --> 0:23:14.240
<v Speaker 3>So I'm sure you get the questions, how much longer

0:23:14.320 --> 0:23:16.320
<v Speaker 3>does this thing go? What do we what needs to

0:23:16.359 --> 0:23:18.360
<v Speaker 3>work to continue this bull market? What do you tell

0:23:18.400 --> 0:23:19.160
<v Speaker 3>folks these days.

0:23:20.080 --> 0:23:23.199
<v Speaker 9>Well, I certainly, certainly earnings have to keep going. The

0:23:23.200 --> 0:23:26.760
<v Speaker 9>market's not cheap at you know, twenty two times earnings.

0:23:26.800 --> 0:23:29.359
<v Speaker 9>But you know, I pushed back a little bit on

0:23:29.440 --> 0:23:33.240
<v Speaker 9>that for two reasons. Number one is, you know, the

0:23:33.720 --> 0:23:38.320
<v Speaker 9>dynamics of what comprised the S and P today is

0:23:38.440 --> 0:23:41.040
<v Speaker 9>far more profitable. Companies are far more profitful than in

0:23:41.119 --> 0:23:43.720
<v Speaker 9>the past, so versus average is a.

0:23:43.640 --> 0:23:46.040
<v Speaker 5>Little misleading, uh, you know.

0:23:46.080 --> 0:23:51.159
<v Speaker 9>And number two is again, valuations are only as powerful

0:23:51.359 --> 0:23:55.600
<v Speaker 9>as the denominated which is the estimate, and that's turned

0:23:55.640 --> 0:23:56.520
<v Speaker 9>out to be too low.

0:23:56.920 --> 0:23:58.040
<v Speaker 5>So I think.

0:23:57.960 --> 0:24:01.560
<v Speaker 9>There's a good backdrop for equities in the fourth year.

0:24:01.600 --> 0:24:06.399
<v Speaker 9>You know what's fascinating is when if a bull market

0:24:06.560 --> 0:24:08.720
<v Speaker 9>makes it to the fourth year. Now, a bull market

0:24:08.840 --> 0:24:10.879
<v Speaker 9>ends when you have a twenty percent pullback, which we

0:24:10.960 --> 0:24:14.680
<v Speaker 9>haven't had. Every time the S and P has made

0:24:14.680 --> 0:24:17.159
<v Speaker 9>it to the fourth year, it's gone up in the

0:24:17.160 --> 0:24:17.720
<v Speaker 9>fourth year.

0:24:17.840 --> 0:24:20.160
<v Speaker 5>It's never had it down year. So that's that's pretty

0:24:20.200 --> 0:24:24.800
<v Speaker 5>powerful perspective. Four equities Andrew two years ago.

0:24:24.920 --> 0:24:27.200
<v Speaker 2>Nice quote from you here, quote Why should I buy

0:24:27.280 --> 0:24:30.040
<v Speaker 2>equities when I can lock in a five percent risk

0:24:30.119 --> 0:24:31.400
<v Speaker 2>fee yield? Discuss?

0:24:33.200 --> 0:24:33.400
<v Speaker 4>Oh?

0:24:34.000 --> 0:24:38.639
<v Speaker 9>I My argument, Tom is the stock market is following

0:24:38.800 --> 0:24:44.520
<v Speaker 9>a classic behavioral path, which is unfortunately, you know that

0:24:44.600 --> 0:24:47.320
<v Speaker 9>the only consistency of this business, and you know this

0:24:47.680 --> 0:24:50.600
<v Speaker 9>bomb as well as I do, is people sell low

0:24:50.680 --> 0:24:54.199
<v Speaker 9>and they buy high. It's the only only market I

0:24:54.320 --> 0:24:56.720
<v Speaker 9>know where when prices go down people want to sell.

0:24:56.800 --> 0:24:59.320
<v Speaker 2>Well, it's just described by the investment strategy.

0:25:00.480 --> 0:25:05.200
<v Speaker 9>Well, it's a triple log cast whatever you have. But look,

0:25:05.440 --> 0:25:07.960
<v Speaker 9>in twenty twenty three, we had just come off a

0:25:08.240 --> 0:25:13.840
<v Speaker 9>twenty five percent declining. Was a wonderful opportunity by stocks.

0:25:14.040 --> 0:25:16.720
<v Speaker 5>But the reason why we had twenty five percent the

0:25:16.720 --> 0:25:18.479
<v Speaker 5>climb was man was raising rates.

0:25:18.520 --> 0:25:23.520
<v Speaker 9>So suddenly now short term rates look attractive and we

0:25:23.720 --> 0:25:24.920
<v Speaker 9>didn't want to buy equity and.

0:25:24.960 --> 0:25:27.280
<v Speaker 2>We gotta go. Are the Chicago Bears for real?

0:25:28.280 --> 0:25:29.800
<v Speaker 5>We're gonna find out tomorrow.

0:25:30.160 --> 0:25:32.320
<v Speaker 9>I know my whole family wants to watch for the

0:25:32.359 --> 0:25:33.560
<v Speaker 9>first time a few years.

0:25:33.560 --> 0:25:35.120
<v Speaker 5>So that's that could because that's.

0:25:34.920 --> 0:25:36.600
<v Speaker 2>A good thing. And just slimon, thank you so much

0:25:36.640 --> 0:25:40.600
<v Speaker 2>as Morgan stanleyder just fabulous. Note again, get that note

0:25:40.640 --> 0:25:44.960
<v Speaker 2>from Morgan, Sandy Joe, stay with us. More from Bloomberg

0:25:45.080 --> 0:25:54.200
<v Speaker 2>Surveillance coming up after this.

0:25:54.200 --> 0:25:58.080
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:25:58.119 --> 0:26:01.400
<v Speaker 1>starting at seven am Eastern well Cocklay and Android Auto

0:26:01.560 --> 0:26:04.520
<v Speaker 1>with the Bloomberg Business App. You can also listen live

0:26:04.600 --> 0:26:08.159
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:26:08.200 --> 0:26:10.760
<v Speaker 1>say Alexa play Bloomberg eleven thirty.

0:26:11.000 --> 0:26:15.320
<v Speaker 2>Stephanie Chen joins us right now. She's absolutely definitive on

0:26:15.359 --> 0:26:19.639
<v Speaker 2>this at Trinity Investments, Los Angeles, and I want to

0:26:19.800 --> 0:26:23.399
<v Speaker 2>really emphasize as folks, if you go to Michigan State

0:26:23.680 --> 0:26:26.919
<v Speaker 2>in a hospitality Paul, I don't know what that's like.

0:26:27.160 --> 0:26:30.480
<v Speaker 2>It's like, you know, religion at the Vaticates or something like.

0:26:30.600 --> 0:26:35.240
<v Speaker 2>It is the program in America for the hospitality business.

0:26:35.480 --> 0:26:39.399
<v Speaker 2>Stephanie in your racket, did everybody get the growth of

0:26:39.520 --> 0:26:42.720
<v Speaker 2>luxury wrong? Did you see it coming? Or is it

0:26:42.800 --> 0:26:44.800
<v Speaker 2>like OMG, now it's here.

0:26:46.240 --> 0:26:49.040
<v Speaker 7>Yeah, No, appreciate the time and thank you for having me.

0:26:49.520 --> 0:26:52.080
<v Speaker 7>You know. I think from a luxury perspective, the trends

0:26:52.080 --> 0:26:55.320
<v Speaker 7>were always very positive, right. I think pre COVID there

0:26:55.359 --> 0:26:57.639
<v Speaker 7>was always a sense of you know, that type of

0:26:57.680 --> 0:27:00.320
<v Speaker 7>demand being there. I think as you noticed, you know,

0:27:00.400 --> 0:27:03.880
<v Speaker 7>from a post COVID environment, the need for experiences has

0:27:03.920 --> 0:27:07.720
<v Speaker 7>definitely skyrocketed. And what we've seen is you know, discretionary

0:27:07.800 --> 0:27:11.200
<v Speaker 7>spending and the want and to really kind of focus

0:27:11.280 --> 0:27:14.880
<v Speaker 7>on travel and experiences has definitely increased significantly.

0:27:15.119 --> 0:27:17.720
<v Speaker 2>What does it mean? Like like Paul's the one I

0:27:17.760 --> 0:27:20.920
<v Speaker 2>don't have a life, Stephanie Sweeney's hit every golf course

0:27:20.960 --> 0:27:25.000
<v Speaker 2>like the jew Marriott Phoenix doesert Rich? Is that in

0:27:25.040 --> 0:27:28.520
<v Speaker 2>your scout steal? Right? I mean these places have become

0:27:28.640 --> 0:27:32.040
<v Speaker 2>ginormous destinations, right, yeah.

0:27:31.560 --> 0:27:34.400
<v Speaker 7>Yeah, no, correct, And I think there's you know, these

0:27:34.440 --> 0:27:37.720
<v Speaker 7>destination what we like to call destination markets, are really

0:27:37.760 --> 0:27:41.639
<v Speaker 7>where we focus our attention just because again, like you noted,

0:27:41.880 --> 0:27:45.800
<v Speaker 7>they're just such a diverse, diversified demand base.

0:27:45.960 --> 0:27:46.120
<v Speaker 9>Right.

0:27:46.119 --> 0:27:48.640
<v Speaker 7>You have the leisure component, you have the group component,

0:27:48.680 --> 0:27:51.639
<v Speaker 7>you have the corporate component, and so I think you know,

0:27:51.720 --> 0:27:55.760
<v Speaker 7>from a leisure perspective, what's really driving customers and consumers

0:27:55.800 --> 0:27:59.119
<v Speaker 7>to travel is the experiences and what you're offering, because

0:27:59.160 --> 0:28:02.600
<v Speaker 7>I think right now what's differentiating the product is what

0:28:02.640 --> 0:28:05.000
<v Speaker 7>you can offer from an experiential perspective.

0:28:05.720 --> 0:28:08.640
<v Speaker 3>Stephanie. So we're at Trinity Investments. Where are you guys

0:28:08.720 --> 0:28:12.800
<v Speaker 3>allocating your capital in the hospitality space these days? Yeah?

0:28:12.840 --> 0:28:15.400
<v Speaker 7>So, like I noted earlier, what we like to call

0:28:15.480 --> 0:28:19.960
<v Speaker 7>destination markets whereby you know, whether that be resort, urban,

0:28:20.440 --> 0:28:23.359
<v Speaker 7>really places where you can focus a lot of the

0:28:23.640 --> 0:28:26.080
<v Speaker 7>kind of group leisure in corporate demand. So a lot

0:28:26.080 --> 0:28:28.359
<v Speaker 7>of the hotels that we focus on are let's call

0:28:28.400 --> 0:28:31.199
<v Speaker 7>it three hundred or four hundred rooms and above. And

0:28:31.240 --> 0:28:34.400
<v Speaker 7>the reason for that is because you know, there's an

0:28:34.480 --> 0:28:38.280
<v Speaker 7>ability to yield, manage the properties and kind of you know,

0:28:38.360 --> 0:28:42.160
<v Speaker 7>when the leisure component is potentially on the lower side,

0:28:42.200 --> 0:28:45.040
<v Speaker 7>you can really drive the group demand. And so a

0:28:45.120 --> 0:28:47.200
<v Speaker 7>lot of the hotels that we focus on are kind

0:28:47.240 --> 0:28:50.200
<v Speaker 7>of larger in scale as a result, and they are

0:28:50.280 --> 0:28:53.560
<v Speaker 7>typically focused and let's call it these destination markets that

0:28:53.640 --> 0:28:55.880
<v Speaker 7>really drive a lot of this type of kind of

0:28:55.880 --> 0:28:56.520
<v Speaker 7>demand base.

0:28:57.440 --> 0:28:59.600
<v Speaker 3>In New York City, for exam, I'm wondering if it's

0:28:59.600 --> 0:29:04.320
<v Speaker 3>another a lot of boutique hotels coming here with names

0:29:04.360 --> 0:29:07.480
<v Speaker 3>like you know, the Delano for example, trying to rebrand

0:29:07.840 --> 0:29:10.479
<v Speaker 3>properties here in New York and maybe brands that are

0:29:10.520 --> 0:29:13.080
<v Speaker 3>working in other parts of the world trying to bring

0:29:13.120 --> 0:29:15.360
<v Speaker 3>their brands to New York and other urban markets. How

0:29:15.400 --> 0:29:17.120
<v Speaker 3>do you guys do you invest in that?

0:29:18.600 --> 0:29:21.520
<v Speaker 7>Yeah, I mean, look, the boutique segment is definitely one

0:29:21.560 --> 0:29:23.560
<v Speaker 7>that has been quite profe and I think a lot

0:29:23.560 --> 0:29:25.920
<v Speaker 7>of that it goes back to the whole experiences, right,

0:29:25.960 --> 0:29:28.280
<v Speaker 7>and I think what the boutique segment has done really

0:29:28.320 --> 0:29:31.720
<v Speaker 7>well is to provide this different experience relative to kind

0:29:31.760 --> 0:29:35.880
<v Speaker 7>of the different niche that they're able to offer. Unfortunately,

0:29:35.920 --> 0:29:38.440
<v Speaker 7>you know, because of the scale of what we like

0:29:38.520 --> 0:29:41.240
<v Speaker 7>to focus on, and because we are value add investors,

0:29:41.600 --> 0:29:44.200
<v Speaker 7>we tend to focus on these larger assets that aren't

0:29:44.240 --> 0:29:47.480
<v Speaker 7>necessarily boutique in nature. But you're right, I mean the

0:29:47.560 --> 0:29:51.320
<v Speaker 7>trend in this boutique style type of segment is definitely

0:29:51.400 --> 0:29:53.800
<v Speaker 7>one that has picked up. And again, I think it

0:29:53.840 --> 0:29:57.560
<v Speaker 7>all goes back to experiences and people wanting to have

0:29:57.640 --> 0:29:59.719
<v Speaker 7>that differentiative type experience.

0:30:00.000 --> 0:30:02.520
<v Speaker 2>Circle back to the airlines I mentioned ed Bastian and

0:30:02.560 --> 0:30:06.920
<v Speaker 2>Delta airlines. I mean, in your world of luxury boom,

0:30:07.600 --> 0:30:10.880
<v Speaker 2>does that filter right back into the airlines where there's

0:30:11.280 --> 0:30:15.520
<v Speaker 2>fewer and fewer economy seats and more and more fancy seats.

0:30:16.800 --> 0:30:19.240
<v Speaker 7>Yeah, I mean, look, there is, and there isn't. I

0:30:19.240 --> 0:30:23.080
<v Speaker 7>would say from a supply demand fundamental perspective in the

0:30:23.160 --> 0:30:26.440
<v Speaker 7>luxury space space, it's still quite favorable, right, And what

0:30:26.520 --> 0:30:28.680
<v Speaker 7>I mean by that is there's still not a lot

0:30:28.760 --> 0:30:32.280
<v Speaker 7>of new supply relative to that kind of let's call

0:30:32.320 --> 0:30:36.560
<v Speaker 7>it luxury sector, and so what that does is obviously

0:30:36.720 --> 0:30:39.920
<v Speaker 7>deem really well from a fundamentals perspective for the existing

0:30:39.960 --> 0:30:43.680
<v Speaker 7>hotels and kind of the segment. So I think the

0:30:43.720 --> 0:30:46.760
<v Speaker 7>supply demand fundamentals, there's still a demand for that, right,

0:30:46.800 --> 0:30:49.320
<v Speaker 7>and we see it from a RevPAR revenue per available

0:30:49.400 --> 0:30:52.920
<v Speaker 7>room performance standpoint, whereby it, you know, through your date

0:30:53.000 --> 0:30:57.320
<v Speaker 7>October of twenty twenty five, RevPAR continues to grow, particularly

0:30:57.360 --> 0:30:59.840
<v Speaker 7>in the luxury and upper up scale segment, and it's

0:31:00.240 --> 0:31:02.520
<v Speaker 7>really kind of like, let's call it the low twenty

0:31:02.560 --> 0:31:06.160
<v Speaker 7>percent improvement relative to where we were in twenty nineteen.

0:31:06.960 --> 0:31:09.720
<v Speaker 7>So I think what that suggests is that consumer is

0:31:09.760 --> 0:31:12.760
<v Speaker 7>still there and wanting to pay that price have that

0:31:12.880 --> 0:31:17.480
<v Speaker 7>type of experience and quality. So yeah, I think that

0:31:17.680 --> 0:31:21.760
<v Speaker 7>the supply and demand fundamentals, however, are still quite favorable

0:31:22.480 --> 0:31:26.320
<v Speaker 7>because there is not a ton of newsify within that sector.

0:31:26.400 --> 0:31:29.600
<v Speaker 2>Stephanie, thank you so much. Stephanie Chen with is Trinity Investments,

0:31:29.680 --> 0:31:30.440
<v Speaker 2>Los Angeles.

0:31:30.440 --> 0:31:35.800
<v Speaker 1>Here this is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:31:35.920 --> 0:31:39.680
<v Speaker 1>and anywhere else you get your podcasts. Listen live each

0:31:39.720 --> 0:31:43.560
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0:31:43.720 --> 0:31:47.520
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<v Speaker 4>M