WEBVTT - Earnings, Tariffs, and Markets

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

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

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<v Speaker 2>Joining us out with our interview of the day without

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<v Speaker 2>question is liz Ane Sanders icondic at Charles Schwabs spend

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<v Speaker 2>there for at least I think it's five years, seven years,

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<v Speaker 2>something like that. Joining us in studio Lizzie Saunders today. Okay,

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<v Speaker 2>forget about all the equity discussion. I want to know

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<v Speaker 2>the act of your Twitter feed. Yesterday your Twitter feed

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<v Speaker 2>looked like the Federal Reserve analyzing economic data. It was

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<v Speaker 2>a rock star feed of like fifteen studies of GDP

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<v Speaker 2>and the dynamics into the equity mark good are you

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<v Speaker 2>doing that in your spare time?

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<v Speaker 3>Well, I'm not creating most of the charts, you know,

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<v Speaker 3>that's Kevin's domain. If I had to create, it would

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<v Speaker 3>be you know, from the terminals with crayon. So thankfully

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<v Speaker 3>I've got a great uh pair of folks with Kevin

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<v Speaker 3>and Adrian who do the charts. But you know, there

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<v Speaker 3>are there are days where weeks happen, and this week

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<v Speaker 3>is one of those unbelievable weeks.

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<v Speaker 2>When I get breakfast at Sarah Bass in Central Park

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<v Speaker 2>South today and do like a four hour conversation on

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<v Speaker 2>this moment at hand, I got brain crude under sixty

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<v Speaker 2>dollars a barrel global slow down, US slowdown? Is that

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<v Speaker 2>what you model in? Yeah?

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<v Speaker 3>I think what we're seeing now is there was a

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<v Speaker 3>lot of debate in the onset of the escalation of

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<v Speaker 3>the trade war as to whether the growth hit would

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<v Speaker 3>come first of the inflation pop would come first. And

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<v Speaker 3>it looks like the growth hit, YEP, maybe coming first.

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<v Speaker 4>So Liz, we've got the S and P five hundred.

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<v Speaker 4>I mean that good news.

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<v Speaker 5>Bad news is we're down ten percent from the high

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<v Speaker 5>early in the ear, but the good newses were ten

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<v Speaker 5>percent higher.

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<v Speaker 4>From the bottom. What do you make of this? What

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<v Speaker 4>do you think we should be doing here?

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<v Speaker 3>I think what we're seeing in the month of April,

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<v Speaker 3>particularly since the low, is a sign that the retail

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<v Speaker 3>trader is still very active. They're still in the by

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<v Speaker 3>the dip mentality. You've got tech BAC and the leaderboard

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<v Speaker 3>on a month to date basis even though it's toward

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<v Speaker 3>the bottom on a year to date basis. Vand Track

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<v Speaker 3>tracks what retail traders are doing. And that's in start

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<v Speaker 3>contrast to hedge funds and other institutions and CTAs that

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<v Speaker 3>have been going more risk off. And then when you

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<v Speaker 3>see something, you know, Goldman Sachs has those great indexes

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<v Speaker 3>and boxes of baskets, and their Meme stock basket has

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<v Speaker 3>been soaring in the last month too, another proxy for

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<v Speaker 3>retail traders.

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<v Speaker 4>What do you make here of earnings?

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<v Speaker 2>Right?

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<v Speaker 4>Guess we're almost halfway through the earning cycle. Ie, I

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<v Speaker 4>see a.

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<v Speaker 5>Lot of companies probably doing what I would do, which

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<v Speaker 5>is like, I don't know what's going on at there,

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<v Speaker 5>so I'm going to pull my guidance or give you

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<v Speaker 5>some ranges or some scenarios.

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<v Speaker 4>What are you taking away from earning shot?

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<v Speaker 3>I think companies have put themselves into time out, you know.

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<v Speaker 3>Earning so far for first quarter a little bit better

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<v Speaker 3>than expected, not quite the beat rate that we've seen

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<v Speaker 3>over the last year. So, but that's through March data.

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<v Speaker 3>So it's the guidance are lack thereof that I think

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<v Speaker 3>is really important. And it is starting to feel a

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<v Speaker 3>little bit like the early stages of the pandemic, when

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<v Speaker 3>at that time you've had a re percentage of companies

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<v Speaker 3>got and solved together.

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<v Speaker 2>Is institutional under owned in the MEGS seven that retail

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<v Speaker 2>owns up.

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<v Speaker 3>To their eyeballs in many cases yes, because of certain

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<v Speaker 3>funds requirements that they have a max on the amount

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<v Speaker 3>they can hold percentage wise in any individual stock. Even

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<v Speaker 3>some of the sector exchange traded funds are limited are limited,

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<v Speaker 3>so they they're by default can't get couldn't have developed

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<v Speaker 3>the same concentration problem is what was embedded in cap

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<v Speaker 3>weighted in Texas the.

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<v Speaker 2>Charon at the University of Delaware a few years ago,

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<v Speaker 2>Liz Anne Saunders read Securities Analysis. This is a Seth

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<v Speaker 2>Klarman version. I actually read the first edition, which starts

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<v Speaker 2>with railroad stocks and the Reason I bring us forward

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<v Speaker 2>by Warren Buffet, Graham Dodd and Coddalhealth two out of

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<v Speaker 2>colaun of this good work out of Columbia Lizzianne and

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<v Speaker 2>I read this cover to cover a few years ago,

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<v Speaker 2>and out there Lizzyanne is a terminal value. I am

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<v Speaker 2>appalled at the media's shortsightedness. What's Microsoft going to do

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<v Speaker 2>next quarter? What's Apple going to do next quarter? How

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<v Speaker 2>do we get back to actually looking at a five year,

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<v Speaker 2>a seven year analysis of what some of these juggernaut

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<v Speaker 2>stocks are doing.

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<v Speaker 3>Can I plug our version of May Day today? Yes,

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<v Speaker 3>so we are launching today the inaugural of be an

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<v Speaker 3>annual event called national in Day. May first is purposeful

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<v Speaker 3>because what it means in our world is that was

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<v Speaker 3>the year fifty years ago or the day fifty years

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<v Speaker 3>ago on May first, where the sec ended fixed Commission,

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<v Speaker 3>much of Wall Street decided to raise commissions and Juck

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<v Speaker 3>Schwab himself said, yeah, let's lower them.

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<v Speaker 2>It was revolutionary, that was.

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<v Speaker 3>But the day is about encouraging everyone to at least

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<v Speaker 3>take one day a year and educate themselves about investing

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<v Speaker 3>and learn a bit more, become engaged and you want

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<v Speaker 3>to empowered investor?

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<v Speaker 2>Why did that?

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<v Speaker 6>How long time?

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<v Speaker 2>This at the top of the interview. I'm running at

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<v Speaker 2>a time here and mister Schwab deserves some love here

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<v Speaker 2>for really what he courageously did there. I mentioned Arthur

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<v Speaker 2>Levitt is well, so today is your May Day. It's

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<v Speaker 2>a number one mistake the media makes in short termism right.

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<v Speaker 3>Now, asking people like me the question should investors get

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<v Speaker 3>in or get out. I mean, that's just shame on

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<v Speaker 3>anybody that that's not investing, that's gambling, not just on

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<v Speaker 3>a moment in time, but in two moments.

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<v Speaker 2>And is back to the humor, but the sadness folks

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<v Speaker 2>of America missing out on the Lizone Saunders great bull market,

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<v Speaker 2>the joke of the triple leverage all cash fun The

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<v Speaker 2>fact is it's not funny. It Can you come back

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<v Speaker 2>like soon?

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<v Speaker 7>Yeah?

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<v Speaker 3>You know, I mean I love being in here in person.

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<v Speaker 2>Have you seen Robert Plant this summer or you know,

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<v Speaker 2>we got any tour guy with the floods.

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<v Speaker 3>If he decides to pair back up with Page and

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<v Speaker 3>John so cool, Jason speaking, well, they are, they're on

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<v Speaker 3>speaking terms. Plant doesn't want to do it.

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<v Speaker 2>The only reason they go out is when somebody gets

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<v Speaker 2>divorced and they have to pay for it. I mean,

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<v Speaker 2>that's you know.

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<v Speaker 3>You know, there was rumor that Sir Richard Branson offered

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<v Speaker 3>them almost a billion dollars a number of years ago

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<v Speaker 3>to just do two concerts and wanted msg here. Wow,

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<v Speaker 3>And it was apparently Robert Plant that said, wow, I.

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<v Speaker 2>Know, there you go. Folks are surveying Bloeplin Sanaders. I

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<v Speaker 2>would look for her in Birmingham with Ira Jersey at

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<v Speaker 2>the Aston Villa. Was it pan Terror's playing?

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<v Speaker 4>I know that's a big show.

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<v Speaker 2>Lisa Mateo, Lizzie Sanders. They love Pantera.

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<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

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<v Speaker 1>starting at seven am Eastern on Apple cor Play and

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<v Speaker 1>Android Auto with the Bloomberg Business App. You can also

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<v Speaker 1>listen live on Amazon Alexa from our flagship New York station.

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<v Speaker 1>Just say Alexa play Bloomberg eleven thirty Right.

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<v Speaker 2>Now, Daniel Ives joins us, and he's the greatest thing

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<v Speaker 2>about Ives is when he's right, he doesn't do the

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<v Speaker 2>rhyme right and right and right thing. He just moves

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<v Speaker 2>on to the next analysis. So I'm going to go

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<v Speaker 2>CEFA on your Dan. I joining from Webb Bush.

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<v Speaker 6>The thing I don't get is the terminal value of

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<v Speaker 6>revenue growth for these juggernauts. The media is out one quarter,

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<v Speaker 6>if we're lucky, three quarters a year, The streets out

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<v Speaker 6>two years. I was trained to go out five or

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<v Speaker 6>even seven years. Do they have persistency of revenue growth

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<v Speaker 6>out to two thousand and thirty two?

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<v Speaker 4>Look?

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<v Speaker 8>I think, for really the first time, maybe ever big

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<v Speaker 8>tech because of this AI revolution, the visibility and the

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<v Speaker 8>demand that they're seeing gives them what I believe is

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<v Speaker 8>almost hypergrowth into the next call it five six, seven years.

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<v Speaker 8>And I think that's that's essentially what we're seeing play

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<v Speaker 8>out here, whether it's on digital media, whether it's on cloud,

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<v Speaker 8>across the board, even in the tariff uncertainty, Big tech

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<v Speaker 8>Rock of Gibraltar. I mean, it's playing through as we

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<v Speaker 8>see it.

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<v Speaker 4>Hey, Dan, I'm looking at a Microsoft.

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<v Speaker 5>I mean, here's a three trillion dollars market cap company,

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<v Speaker 5>stocks up t pre market.

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<v Speaker 4>I mean, it's just amazing here.

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<v Speaker 5>Talk to us about what's got the street enthused tier

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<v Speaker 5>about Microsoft this morning?

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<v Speaker 8>Well, first off, I mean think about all the rumors

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<v Speaker 8>abandoned data centers here and there that well, how about

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<v Speaker 8>them apples? Right? You don't see I don't think those

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<v Speaker 8>a banded datas. I think that story is gonna disappear,

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<v Speaker 8>right because the reality is like Azure two hundred bits

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<v Speaker 8>above street, accelerating into the next quarter or two. I

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<v Speaker 8>mean to put some numbers in, I basically think like

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<v Speaker 8>you could be looking at for a typical Microsoft customer,

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<v Speaker 8>you could be looking at thirty to forty dollars of

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<v Speaker 8>every hundred hours that they've already spent thirty to forty

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<v Speaker 8>incremental just on AI spent. You put that together and

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<v Speaker 8>you can essentially be looking at cloud numbers are essentially

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<v Speaker 8>double every two years.

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<v Speaker 4>Dan.

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<v Speaker 5>Prior to the beginning of this year, all we talked

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<v Speaker 5>about was AI for the past couple of years, and

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<v Speaker 5>for the last you know, four months, we've talked about

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<v Speaker 5>nothing but tariffs.

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<v Speaker 4>How is the AI story unfolding? Now? Can you give

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<v Speaker 4>us an update?

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<v Speaker 8>Yeah, look, i'd say, and we talk about it. You

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<v Speaker 8>know that that Tom reference. In the last few weeks,

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<v Speaker 8>like all of our checks, I mean, we've we've seen

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<v Speaker 8>some almost acceleration and a lot of the AI spend

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<v Speaker 8>because I think companies are basically saying like this is

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<v Speaker 8>you cannot touch this, because this is really what's driving

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<v Speaker 8>the strategic shitter view of a lot of these coms

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<v Speaker 8>over the coming years. And I think we're talking to

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<v Speaker 8>two and a half trillion that's going to be spent

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<v Speaker 8>with AI, with really a small amount of companies that

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<v Speaker 8>are going to benefit. And I think when it comes

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<v Speaker 8>to tariffs is not impound.

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<v Speaker 2>I got a return on invested capital, Folks, that one

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<v Speaker 2>of the best screens in the Bloomberg terminal is w

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<v Speaker 2>acc Way did the average cost a capital study. It's

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<v Speaker 2>what's called a stern Stewart study from a million years ago,

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<v Speaker 2>and I got a persistent twenty five percent return on

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<v Speaker 2>invested capital for satchin company. Dan eives. I got revenue

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<v Speaker 2>pre pandemic of one hundred and twenty six gazillion. They've

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<v Speaker 2>done a double to where we are. Now do they

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<v Speaker 2>get out to I can't believe I've never said this number.

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<v Speaker 2>Are they going to get out to five hundred billion

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<v Speaker 2>in annual revenue two thousand and thirty one, two thousand

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<v Speaker 2>and thirty two? What's in the way of that?

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<v Speaker 8>I mean, I think four fifty to five hundred. I

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<v Speaker 8>mean it's it's hit able because just given I don't

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<v Speaker 8>see what's gonna stop it, just given where companies are

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<v Speaker 8>going and just to I mean, you put in perspective

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<v Speaker 8>today like you only have two percent of US enterprises

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<v Speaker 8>that have gone down the true aipath. It just should

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<v Speaker 8>that's just US. None in Europe none, really, I mean

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<v Speaker 8>outside of China it's minimum in termed agent. It just

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<v Speaker 8>shows where this is going on. Despite obviously tariff uncertainty.

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<v Speaker 5>Hey Dan, We're going to get our good friends from

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<v Speaker 5>Cooper Tino. Apples can report after the close here today.

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<v Speaker 4>What are you looking for?

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<v Speaker 8>I know like they're not going to give guidance, right,

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<v Speaker 8>I mean, I'd be shocked, and I think I think

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<v Speaker 8>the big question for them is the quarter itself actually

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<v Speaker 8>is pretty strong and even something that could be pulled forward.

0:12:22.360 --> 0:12:25.240
<v Speaker 8>The big question for them is like, how do you

0:12:25.440 --> 0:12:31.240
<v Speaker 8>navigate coming out with iPhone seventeen in a typical cycle

0:12:31.640 --> 0:12:34.520
<v Speaker 8>with these tariffs? What are you waiting for from the administration?

0:12:34.840 --> 0:12:35.120
<v Speaker 2>Is there?

0:12:35.559 --> 0:12:38.079
<v Speaker 8>And I think that's the question. Does the timing get

0:12:38.120 --> 0:12:41.760
<v Speaker 8>the way we've talked about for Apple obviously being bullsh

0:12:42.040 --> 0:12:45.000
<v Speaker 8>you know, for a ducade, this is you don't look

0:12:45.040 --> 0:12:47.200
<v Speaker 8>at over the next three months. You got to look

0:12:47.240 --> 0:12:49.040
<v Speaker 8>as you know, as tom Owi's reverence, you got to

0:12:49.040 --> 0:12:51.240
<v Speaker 8>look over the next twelve to eighteen months. I'll give

0:12:51.320 --> 0:12:54.160
<v Speaker 8>free cash flow, I'll get the install base, and even

0:12:54.200 --> 0:12:58.440
<v Speaker 8>if things move around and I didn't, negotiations ultimately come through,

0:12:58.480 --> 0:13:02.400
<v Speaker 8>and I think they will be much more unsteed relative

0:13:02.480 --> 0:13:04.480
<v Speaker 8>to you know, where we see things stay when it

0:13:04.520 --> 0:13:05.640
<v Speaker 8>comes to towers.

0:13:06.600 --> 0:13:09.120
<v Speaker 5>Tom Apple's gonna have over one hundred billion dollars a

0:13:09.200 --> 0:13:09.959
<v Speaker 5>free cash flow.

0:13:10.400 --> 0:13:10.600
<v Speaker 2>Yeah.

0:13:11.400 --> 0:13:14.360
<v Speaker 4>I mean, well, Dan, what do they do here with

0:13:14.400 --> 0:13:15.439
<v Speaker 4>this free cash flow here?

0:13:17.160 --> 0:13:19.880
<v Speaker 8>I mean, look, M and A has obviously been minimal

0:13:21.120 --> 0:13:23.640
<v Speaker 8>to that the way that they viewed in kuper Tina,

0:13:24.520 --> 0:13:27.800
<v Speaker 8>it's it's basically from an R O I C. It's

0:13:27.840 --> 0:13:30.800
<v Speaker 8>about to buy back and it's about ultimately how they

0:13:31.240 --> 0:13:33.920
<v Speaker 8>how they're going to continue return that to Cheryl right.

0:13:34.240 --> 0:13:36.800
<v Speaker 8>I mean, you.

0:13:36.880 --> 0:13:38.920
<v Speaker 2>Notice you don't see this on Bluebird Radio, but you

0:13:38.960 --> 0:13:41.920
<v Speaker 2>see it on YouTube. What I've does is he's at

0:13:41.960 --> 0:13:43.840
<v Speaker 2>some golf courses. He in Arizona.

0:13:43.840 --> 0:13:44.480
<v Speaker 4>I don't know where he is.

0:13:44.800 --> 0:13:46.320
<v Speaker 8>I'm in an area airport.

0:13:46.920 --> 0:13:50.920
<v Speaker 2>He drops in the wet bush backdrop of some class

0:13:51.520 --> 0:13:54.320
<v Speaker 2>hotel room. He's like in a motel five or a

0:13:54.360 --> 0:13:58.200
<v Speaker 2>Motel four somewhere instead of some two thousand dollars a

0:13:58.280 --> 0:14:01.000
<v Speaker 2>night golf course in Scott's you know, one of the

0:14:01.040 --> 0:14:05.960
<v Speaker 2>places sweeties been. Dan. I look at the belief here,

0:14:06.559 --> 0:14:10.120
<v Speaker 2>and what I see more than anything is mag seven

0:14:10.280 --> 0:14:16.920
<v Speaker 2>is under owned by disbelieving institution chefs. Retail America loves Apple. Okay,

0:14:17.000 --> 0:14:20.520
<v Speaker 2>that's a generalization of my part. But what happens when

0:14:20.560 --> 0:14:23.400
<v Speaker 2>we wake up this morning with thirty three percent as

0:14:23.480 --> 0:14:26.840
<v Speaker 2>your growth rate, what we get from Amazon tomorrow, whatever,

0:14:27.000 --> 0:14:29.760
<v Speaker 2>I just count the boxes at your bottom at discussion,

0:14:31.680 --> 0:14:35.600
<v Speaker 2>where is the institutional Wall Street these companies?

0:14:36.040 --> 0:14:40.640
<v Speaker 8>I think, well, I can nailed that retail, stuck with it, institutional.

0:14:41.080 --> 0:14:43.600
<v Speaker 8>They've hit the exit and I think they got and

0:14:44.240 --> 0:14:46.640
<v Speaker 8>they've got scared out a lot of the mags haven

0:14:46.680 --> 0:14:49.120
<v Speaker 8>a lot attack and now guess what's going to happen

0:14:49.160 --> 0:14:51.920
<v Speaker 8>over the coming weeks. They're they're going to have to

0:14:51.920 --> 0:14:54.040
<v Speaker 8>double down. And I think that's why I think the

0:14:54.200 --> 0:14:57.280
<v Speaker 8>run here that we can see intact over the next

0:14:57.320 --> 0:15:00.240
<v Speaker 8>three four weeks, especially as we go through I think

0:15:00.280 --> 0:15:04.600
<v Speaker 8>could be massive because it's under own institutionally. Because well

0:15:04.920 --> 0:15:07.360
<v Speaker 8>is Paul talked about Stock being on nine in terms

0:15:07.400 --> 0:15:09.240
<v Speaker 8>of mist there was a view that they were gonna

0:15:09.240 --> 0:15:13.120
<v Speaker 8>miss azure. They absolutely I mean, this is an Aaron

0:15:13.200 --> 0:15:14.360
<v Speaker 8>Judge like performance.

0:15:15.160 --> 0:15:17.800
<v Speaker 4>Hey, yes it is Aaron Judge.

0:15:18.080 --> 0:15:20.200
<v Speaker 5>Happened even a better year this year than last year

0:15:20.200 --> 0:15:23.120
<v Speaker 5>if that season impossible exactly? Hey, Dan talk to us

0:15:23.160 --> 0:15:26.080
<v Speaker 5>about Tesla and I think a lot of people are

0:15:26.120 --> 0:15:30.360
<v Speaker 5>probably most interested in Elon Musk. We haven't heard from

0:15:30.480 --> 0:15:32.760
<v Speaker 5>him much over the past month or two on the

0:15:32.880 --> 0:15:34.520
<v Speaker 5>Doge front.

0:15:34.440 --> 0:15:37.320
<v Speaker 7>Where do you and I know you've been very very.

0:15:37.120 --> 0:15:40.800
<v Speaker 5>Public and very outspoken about suggesting that he really needs

0:15:40.840 --> 0:15:43.520
<v Speaker 5>to get back to his day job at Tesla. What

0:15:43.560 --> 0:15:45.600
<v Speaker 5>do we know about Elon Musk and Tesla these days?

0:15:45.840 --> 0:15:48.520
<v Speaker 8>Yeah, and then obviously you know the Journal article of

0:15:48.560 --> 0:15:51.880
<v Speaker 8>j obviously a board denied. Then that came out last

0:15:51.960 --> 0:15:55.120
<v Speaker 8>night about you know, looking for a CEO potentially, Look,

0:15:55.200 --> 0:15:57.840
<v Speaker 8>the reality is a must. That was a code red

0:15:57.920 --> 0:16:00.920
<v Speaker 8>situation and it was the most important comments call he

0:16:01.000 --> 0:16:03.200
<v Speaker 8>ever had to do, and he handled it. I think

0:16:03.320 --> 0:16:06.400
<v Speaker 8>the best I've ever seen him. Pick Tesla. He's going

0:16:06.480 --> 0:16:08.840
<v Speaker 8>to lead them into this next chapter when it comes

0:16:08.880 --> 0:16:11.840
<v Speaker 8>to autonomous robotics and ultimately I think that more and

0:16:11.840 --> 0:16:15.400
<v Speaker 8>more a growth reband that we see in China and

0:16:15.720 --> 0:16:19.040
<v Speaker 8>his days the White House are done. However you want

0:16:19.080 --> 0:16:20.680
<v Speaker 8>to call it one to two days that we I mean,

0:16:20.720 --> 0:16:22.680
<v Speaker 8>I think this is the be and the end. The

0:16:22.720 --> 0:16:25.640
<v Speaker 8>board was not gonna take it, CHERYLD is not going

0:16:25.720 --> 0:16:28.040
<v Speaker 8>to take it. But that's you're talking about one of

0:16:28.080 --> 0:16:32.440
<v Speaker 8>the biggestess up the technology companies or a Muscus, Tesla's Musk.

0:16:32.280 --> 0:16:34.480
<v Speaker 2>And your community across the nation. This morning, and of

0:16:34.480 --> 0:16:37.600
<v Speaker 2>course on YouTube, Dan, I's with us with Webbush looking

0:16:37.640 --> 0:16:40.400
<v Speaker 2>over here to see the Secretary of Treasury and conversation.

0:16:40.840 --> 0:16:44.040
<v Speaker 2>I believe with Maria over at Fox Furs will monitor

0:16:44.080 --> 0:16:47.560
<v Speaker 2>those headlines from the Secretary of Treasury. It seems Paul

0:16:47.840 --> 0:16:50.600
<v Speaker 2>every time he speaks is that press conference the other day,

0:16:51.120 --> 0:16:52.080
<v Speaker 2>he moves the markets.

0:16:52.120 --> 0:16:54.920
<v Speaker 5>Guys, Hey, Dan, just on the EV front here, I

0:16:54.920 --> 0:16:57.800
<v Speaker 5>mean there's a lot of I guess, fundamental concerns here.

0:16:57.840 --> 0:17:00.920
<v Speaker 4>If you're a Tesla investor, I guess just from the

0:17:01.080 --> 0:17:01.640
<v Speaker 4>car business.

0:17:01.680 --> 0:17:04.920
<v Speaker 5>I know Elon's trying to have your focus on other areas,

0:17:04.920 --> 0:17:08.359
<v Speaker 5>but boy, by D and the Chinese operators are just

0:17:09.320 --> 0:17:10.400
<v Speaker 5>really tough, aren't they.

0:17:11.040 --> 0:17:12.560
<v Speaker 8>Yeah, it look b what I mean we've seen in

0:17:12.640 --> 0:17:15.720
<v Speaker 8>firsthand in China. You know many times BYD has done

0:17:16.240 --> 0:17:19.960
<v Speaker 8>phenomenal and but I think it's not a mutually exclusive

0:17:19.960 --> 0:17:21.960
<v Speaker 8>in other words, like Tessa is going to be also

0:17:22.080 --> 0:17:26.200
<v Speaker 8>successful in China like they have been when it comes

0:17:26.240 --> 0:17:30.040
<v Speaker 8>to the EV market. I mean, Paul, I think ninety

0:17:30.520 --> 0:17:33.760
<v Speaker 8>the future value of Tessa is going to be autonomous

0:17:33.880 --> 0:17:36.159
<v Speaker 8>about it. I mean that's my.

0:17:38.480 --> 0:17:40.480
<v Speaker 5>And and Dan just just to be clear here, the

0:17:40.520 --> 0:17:42.960
<v Speaker 5>board at Tesla thinking about a replacement.

0:17:43.000 --> 0:17:45.840
<v Speaker 4>That's not even that's not even thought of. Is it really?

0:17:46.800 --> 0:17:47.080
<v Speaker 2>Again?

0:17:47.240 --> 0:17:50.200
<v Speaker 8>Keene came, he didn't want to do it, so after

0:17:50.280 --> 0:17:52.360
<v Speaker 8>he was after he took his hat out of the ring,

0:17:52.560 --> 0:17:55.520
<v Speaker 8>there was there was no one left. Look, I think,

0:17:56.520 --> 0:17:59.320
<v Speaker 8>but Paul, they had to do something, whether it Tesla

0:17:59.359 --> 0:18:02.280
<v Speaker 8>denies or they had to do a warning shot. It

0:18:02.359 --> 0:18:04.080
<v Speaker 8>got to and we talked about with you guys while

0:18:04.119 --> 0:18:07.800
<v Speaker 8>on the ship. They it hit. It hit that moment, true.

0:18:07.960 --> 0:18:11.439
<v Speaker 2>Dan, I got a minute left on Tesla. Have you

0:18:11.560 --> 0:18:14.239
<v Speaker 2>been in one of the Chinese EV's have you you know,

0:18:14.240 --> 0:18:16.359
<v Speaker 2>you're such a hitter. Have you been like in a

0:18:16.440 --> 0:18:19.840
<v Speaker 2>B Y D yep? Are they are they nice? Are

0:18:19.840 --> 0:18:20.199
<v Speaker 2>they like?

0:18:20.400 --> 0:18:20.440
<v Speaker 7>No?

0:18:20.600 --> 0:18:23.120
<v Speaker 4>They're they're there so that you go, what are.

0:18:23.000 --> 0:18:26.359
<v Speaker 2>They like you? He doesn't. Michael bar Ives doesn't even

0:18:26.400 --> 0:18:29.840
<v Speaker 2>know what a ugo is. It's sort of like a pinto.

0:18:30.119 --> 0:18:32.440
<v Speaker 2>I wish I didn't know what you go, Jives, what's

0:18:32.480 --> 0:18:35.320
<v Speaker 2>the quality of a Chinese EV? Look?

0:18:35.440 --> 0:18:37.920
<v Speaker 8>I mean by d high quality, I mean I think

0:18:37.960 --> 0:18:40.240
<v Speaker 8>even someone like Sweeney would take that to the golf.

0:18:40.080 --> 0:18:43.280
<v Speaker 2>Course where I go, Dan, I thank you so much,

0:18:43.320 --> 0:18:46.200
<v Speaker 2>your trooper. I can't say enough about the hours Paul,

0:18:46.240 --> 0:18:47.720
<v Speaker 2>you mentioned the hours he works.

0:18:53.359 --> 0:18:56.960
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:18:57.040 --> 0:19:00.000
<v Speaker 1>weekday afternoons from seven to ten a m Eastern. Listen

0:19:00.119 --> 0:19:03.720
<v Speaker 1>on Apple, Karplay and Android Otto with the Bloomberg Business app,

0:19:03.840 --> 0:19:05.600
<v Speaker 1>or watch us live on YouTube.

0:19:05.920 --> 0:19:09.280
<v Speaker 2>Leland Miller is a China basebook. Where's thrilled he could

0:19:09.359 --> 0:19:13.320
<v Speaker 2>join us this morning? What's the thing in the zeitgeist

0:19:13.480 --> 0:19:17.760
<v Speaker 2>on the China US US China trade war that's not

0:19:17.920 --> 0:19:18.920
<v Speaker 2>talked about enough?

0:19:19.440 --> 0:19:22.000
<v Speaker 7>Well, I think too much is being made of the

0:19:22.119 --> 0:19:24.320
<v Speaker 7>idea that she can't come to the table and Trump

0:19:24.400 --> 0:19:26.440
<v Speaker 7>can't come to the table because each of them has

0:19:26.480 --> 0:19:28.200
<v Speaker 7>to have the other one go to the table first.

0:19:28.560 --> 0:19:30.840
<v Speaker 7>It's in the boat interest of both these countries to

0:19:30.920 --> 0:19:33.600
<v Speaker 7>eventually move towards some sort of negotiation. That doesn't mean

0:19:33.600 --> 0:19:35.320
<v Speaker 7>that the negotiation is going to move to anything, but

0:19:35.560 --> 0:19:38.439
<v Speaker 7>the terriffs are in a very very high level of

0:19:38.480 --> 0:19:41.640
<v Speaker 7>both directions. They don't even serve an economic purpose past

0:19:41.680 --> 0:19:43.199
<v Speaker 7>a certain point. And if you have tariffs at one

0:19:43.240 --> 0:19:46.440
<v Speaker 7>hundred and forty five percent, even at half that, you're

0:19:46.480 --> 0:19:49.520
<v Speaker 7>not making an economic difference because no Chinese goods are

0:19:49.600 --> 0:19:51.680
<v Speaker 7>cost competitive at even half of one hundred and forty

0:19:51.720 --> 0:19:52.159
<v Speaker 7>five percent.

0:19:52.560 --> 0:19:55.040
<v Speaker 2>So the tariffs are sort of arbitrary at a certain point.

0:19:55.200 --> 0:19:58.160
<v Speaker 7>If the President wants to come to the table say look,

0:19:58.160 --> 0:20:00.400
<v Speaker 7>we'll bring things down in return you do some things

0:20:00.440 --> 0:20:03.960
<v Speaker 7>for us, that certainly is a possibility if he's feeling

0:20:03.960 --> 0:20:07.000
<v Speaker 7>economic pressure, if he's feeling pressure to sort of coalesce

0:20:07.240 --> 0:20:10.960
<v Speaker 7>the Republican Party in one direction towards towards the tax

0:20:10.960 --> 0:20:12.840
<v Speaker 7>bill as well. So there's a lot of pressures that

0:20:12.840 --> 0:20:14.919
<v Speaker 7>are building up as we get towards summertime, they're going

0:20:14.920 --> 0:20:17.560
<v Speaker 7>to sort of change the dynamics around the tariff discussion.

0:20:18.280 --> 0:20:20.639
<v Speaker 5>Lee, then, can you give us a sense of where

0:20:21.040 --> 0:20:23.880
<v Speaker 5>you think China is in terms of its relative strength

0:20:24.440 --> 0:20:26.760
<v Speaker 5>in negotiating with the United States.

0:20:27.240 --> 0:20:28.160
<v Speaker 4>Give us a sense.

0:20:27.920 --> 0:20:31.240
<v Speaker 5>Of how things are in China and how they might

0:20:31.359 --> 0:20:33.240
<v Speaker 5>impact its ability to negotiate.

0:20:32.800 --> 0:20:35.400
<v Speaker 9>With us well in a vacuum.

0:20:35.400 --> 0:20:38.200
<v Speaker 7>The United States has much much more leverage over China

0:20:38.200 --> 0:20:40.200
<v Speaker 7>than China has of the United States because the size

0:20:40.240 --> 0:20:43.600
<v Speaker 7>of the of the of the trade surplus that that

0:20:43.600 --> 0:20:46.679
<v Speaker 7>that China has the United States. And I think that

0:20:46.720 --> 0:20:49.760
<v Speaker 7>the idea here is if that were all we were

0:20:49.800 --> 0:20:52.000
<v Speaker 7>talking about, there is there's a very good chance that

0:20:52.000 --> 0:20:54.560
<v Speaker 7>the United States could just weigh this out. The problem

0:20:54.600 --> 0:20:55.879
<v Speaker 7>is there's a lot of other things going on in

0:20:55.880 --> 0:20:59.720
<v Speaker 7>the world. You've got You've got tariff battles with with

0:20:59.720 --> 0:21:03.160
<v Speaker 7>with about everybody right now, and so it's a question

0:21:03.240 --> 0:21:05.679
<v Speaker 7>of who has a higher pain tolerance. And the Chinese

0:21:05.760 --> 0:21:08.240
<v Speaker 7>have a higher pain tolerance in the US than the

0:21:08.280 --> 0:21:10.840
<v Speaker 7>Americans do because of the fact that the American system

0:21:11.119 --> 0:21:13.919
<v Speaker 7>doesn't quite allow for what the Chinese system does. So

0:21:13.960 --> 0:21:16.359
<v Speaker 7>I think right now it's a question of who wants

0:21:16.400 --> 0:21:19.520
<v Speaker 7>to take the most pain. The Chinese economy is under

0:21:19.680 --> 0:21:23.119
<v Speaker 7>some duress right now, but the United States economy is

0:21:23.119 --> 0:21:24.600
<v Speaker 7>going to be under more dress as we get into

0:21:24.640 --> 0:21:28.840
<v Speaker 7>mid Bay and retail shelves are aren't restocked and freight

0:21:28.920 --> 0:21:31.119
<v Speaker 7>starts breaking down. So there's a lot of pressure right

0:21:31.160 --> 0:21:34.520
<v Speaker 7>now to come to some sort of you know, short

0:21:34.600 --> 0:21:36.639
<v Speaker 7>term solution as we think through how this is going

0:21:36.680 --> 0:21:37.240
<v Speaker 7>to end out.

0:21:37.920 --> 0:21:39.959
<v Speaker 4>So how do you expect this to play out? Leland?

0:21:40.040 --> 0:21:43.879
<v Speaker 5>I mean, do you expect a meeting between President Trump

0:21:43.880 --> 0:21:47.040
<v Speaker 5>and President She? Do you think maybe it'll just be

0:21:47.440 --> 0:21:50.680
<v Speaker 5>trade representatives hammering out something, just the meat and potatoes

0:21:50.720 --> 0:21:51.919
<v Speaker 5>kind of stuff that always happens.

0:21:52.160 --> 0:21:53.479
<v Speaker 4>How do you think this might play out?

0:21:54.000 --> 0:21:56.360
<v Speaker 7>Well, Trump clearly wants to get in the room with she,

0:21:56.960 --> 0:21:58.320
<v Speaker 7>and she doesn't want to get in the room with

0:21:58.359 --> 0:22:01.880
<v Speaker 7>Trump because he's worried that will do something to embarrass him,

0:22:01.920 --> 0:22:04.840
<v Speaker 7>that he'll say that something's happening, or and then he'll

0:22:04.840 --> 0:22:07.680
<v Speaker 7>go back after she agrees. So there's there's a cadence

0:22:07.720 --> 0:22:09.800
<v Speaker 7>to this that has to happen. I think in order

0:22:09.840 --> 0:22:13.960
<v Speaker 7>for anything enduring to to move forward, somebody that will

0:22:14.000 --> 0:22:16.479
<v Speaker 7>stay for longer than a few weeks or a few months,

0:22:16.720 --> 0:22:18.240
<v Speaker 7>you have to get the two leaders in a room

0:22:18.240 --> 0:22:19.639
<v Speaker 7>and you have to have them agree in front of

0:22:19.640 --> 0:22:21.840
<v Speaker 7>a camera that this is the deal going forward. But

0:22:21.880 --> 0:22:24.760
<v Speaker 7>that's not necessarily any you know, any going to happen

0:22:24.760 --> 0:22:26.480
<v Speaker 7>in the near term because the Chinese side is very

0:22:26.480 --> 0:22:29.520
<v Speaker 7>worried that the Americans are going to change the nature

0:22:29.520 --> 0:22:30.400
<v Speaker 7>of the games.

0:22:30.680 --> 0:22:33.600
<v Speaker 2>Involved Leland Miller to China, Beijing, where it's just thrilled

0:22:33.640 --> 0:22:36.480
<v Speaker 2>that he's with us. Okay, here's the reality, folks, And

0:22:36.560 --> 0:22:40.359
<v Speaker 2>Paul knows this. When I say I went to China,

0:22:40.480 --> 0:22:44.879
<v Speaker 2>it's the airport a Mercedes. Maybe you go two miles,

0:22:44.920 --> 0:22:49.199
<v Speaker 2>three miles Shanghai, a little longer some fancy hotel, a

0:22:49.240 --> 0:22:51.360
<v Speaker 2>fancy office. Yep. Then I get in the.

0:22:51.320 --> 0:22:55.720
<v Speaker 6>Cargo back to the airport and I've been deep into China.

0:22:55.320 --> 0:22:58.040
<v Speaker 2>Leland Miller. I want to go deep into China right now?

0:22:58.160 --> 0:23:02.080
<v Speaker 2>Southwest of Beijing. I guess north, a little bit west

0:23:02.160 --> 0:23:06.399
<v Speaker 2>rather of Shanghai, and I'm gonna I think I'm mispronouncing it.

0:23:06.480 --> 0:23:15.560
<v Speaker 2>Shang She's Sha n Xi, huge manufacturing appliance place. What

0:23:15.680 --> 0:23:18.000
<v Speaker 2>do they do, I mean, when they're out of a job,

0:23:18.600 --> 0:23:22.080
<v Speaker 2>are they like starving? Or is there a social net

0:23:22.200 --> 0:23:26.000
<v Speaker 2>in this trade war for people deep into China and

0:23:26.080 --> 0:23:27.760
<v Speaker 2>all those manufacturing jobs.

0:23:28.240 --> 0:23:30.760
<v Speaker 7>Well, there is a social safety net, but there's also

0:23:30.800 --> 0:23:33.720
<v Speaker 7>a lot of pain. So we're seeing right now manufacturing

0:23:33.720 --> 0:23:36.399
<v Speaker 7>in China is actually under a lot of duress. The

0:23:36.960 --> 0:23:41.320
<v Speaker 7>economy outside of manufacturing is actually looking more resilient than

0:23:41.359 --> 0:23:43.359
<v Speaker 7>it did earlier this year. You know that if you

0:23:43.359 --> 0:23:45.199
<v Speaker 7>look at the PMI has just reported all these things

0:23:45.240 --> 0:23:48.080
<v Speaker 7>happening in manufacturing. We had that data last month and

0:23:48.119 --> 0:23:50.199
<v Speaker 7>so we saw a huge fall off last month. We

0:23:50.200 --> 0:23:53.000
<v Speaker 7>saw the end of most of the front loading happened

0:23:53.000 --> 0:23:54.920
<v Speaker 7>at the end of last year. So what we're seeing

0:23:55.000 --> 0:23:57.520
<v Speaker 7>right now is a is some resilience in the economy

0:23:57.520 --> 0:24:00.000
<v Speaker 7>outside of manufacturing, but a lot of pain within manufacturing.

0:24:00.280 --> 0:24:02.679
<v Speaker 7>So what do they do with manufacturing? The cost of

0:24:02.680 --> 0:24:05.399
<v Speaker 7>credits going down, there's they're they're they're boosting it any

0:24:05.440 --> 0:24:08.480
<v Speaker 7>way they can. They're gonna have to. Fiscal support is

0:24:08.520 --> 0:24:10.879
<v Speaker 7>going up, so they're gonna have to continue to support

0:24:10.880 --> 0:24:13.320
<v Speaker 7>manufacturing more and more and more because if this trade

0:24:13.359 --> 0:24:17.080
<v Speaker 7>war does continue, then they're gonna be under significant page.

0:24:16.880 --> 0:24:20.040
<v Speaker 2>Okay, so classic economy and a command control economy, I

0:24:20.040 --> 0:24:23.760
<v Speaker 2>get that. The classic economics. Here, they're gonna give a

0:24:23.800 --> 0:24:27.840
<v Speaker 2>surplus spur to the people of China, and the only

0:24:27.920 --> 0:24:31.080
<v Speaker 2>outro there is a depreciation of the Chinese. You want?

0:24:31.560 --> 0:24:34.840
<v Speaker 2>Is that just? Is that a Leland Miller certain to happen?

0:24:35.480 --> 0:24:36.639
<v Speaker 6>Now, I don't think it's certain at all.

0:24:36.640 --> 0:24:37.960
<v Speaker 7>As a matter of fact, I don't think they want

0:24:38.000 --> 0:24:40.440
<v Speaker 7>it to happen unless there's a break the glass emergency.

0:24:40.720 --> 0:24:42.880
<v Speaker 7>So one of the problems with just appreciating your way

0:24:42.880 --> 0:24:45.080
<v Speaker 7>out of this. Yes, it would help manufacturing, it would

0:24:45.160 --> 0:24:47.800
<v Speaker 7>it would badly hurt consumption. It would be a political

0:24:47.840 --> 0:24:51.280
<v Speaker 7>disaster for China around the world because there'd be countere valuations,

0:24:51.320 --> 0:24:54.080
<v Speaker 7>there'd be a enormous amount of political friction from that,

0:24:54.440 --> 0:24:57.240
<v Speaker 7>especially for the United States, but but also for everywhere else.

0:24:57.520 --> 0:24:59.920
<v Speaker 7>So the the you know, the you want is talk

0:25:00.119 --> 0:25:03.720
<v Speaker 7>about as if it's a tool in China's economic weaponry.

0:25:03.920 --> 0:25:06.240
<v Speaker 7>It's really not. It's at the end of the lion

0:25:06.400 --> 0:25:09.159
<v Speaker 7>to break the glass eburgency. If they do anything other

0:25:09.200 --> 0:25:12.720
<v Speaker 7>than just sort of ease, you know, ease pressure off

0:25:12.720 --> 0:25:15.760
<v Speaker 7>the currency and very gradual movements, they're going to get

0:25:15.800 --> 0:25:17.360
<v Speaker 7>a lot of political friction for the rest of the world,

0:25:17.400 --> 0:25:19.239
<v Speaker 7>particularly United States. I don't think they want that, and

0:25:19.320 --> 0:25:21.200
<v Speaker 7>they don't want the domestic repercussions either.

0:25:21.400 --> 0:25:23.920
<v Speaker 2>Don't be a stranger, Leila Miller. Thank you so much,

0:25:24.119 --> 0:25:24.760
<v Speaker 2>China BASEBA.

0:25:25.040 --> 0:25:28.920
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:25:28.960 --> 0:25:32.240
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:25:32.359 --> 0:25:35.359
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:25:35.400 --> 0:25:39.000
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:25:39.040 --> 0:25:41.520
<v Speaker 1>say Alexa play Bloomberg eleven thirty.

0:25:41.640 --> 0:25:44.199
<v Speaker 2>He's joined us before and for all of you across

0:25:44.240 --> 0:25:47.440
<v Speaker 2>the nation and your commute on YouTube across this nation,

0:25:47.680 --> 0:25:51.560
<v Speaker 2>Canada and Mexico, around the world. The New York City

0:25:52.000 --> 0:25:55.720
<v Speaker 2>mayoral primary, the Democratic Party primary, because there's like twelve

0:25:55.760 --> 0:26:00.639
<v Speaker 2>Republicans within the tri state area. I'm kidding. The answer is,

0:26:00.720 --> 0:26:04.879
<v Speaker 2>it's a really interesting study on a budget standpoint of

0:26:04.920 --> 0:26:06.600
<v Speaker 2>what to come. We've had in a number of the

0:26:06.640 --> 0:26:10.159
<v Speaker 2>candidates joining us again. Brad Lander joins us. He's a

0:26:10.240 --> 0:26:14.639
<v Speaker 2>forty fifth New York City controller, understands budgets. He's to

0:26:14.760 --> 0:26:16.600
<v Speaker 2>the left of left. But hey, you know what, it's

0:26:16.640 --> 0:26:20.879
<v Speaker 2>a big city. We had a budget yesterday, and I

0:26:20.920 --> 0:26:23.400
<v Speaker 2>get it. It's an election year. Mayor Adams put out

0:26:23.400 --> 0:26:26.840
<v Speaker 2>a budget that is, if I'm elected, free beer. But

0:26:27.040 --> 0:26:30.920
<v Speaker 2>how close are we to the headlines from another time

0:26:31.000 --> 0:26:35.040
<v Speaker 2>in place? There's a movie out now on this four

0:26:35.119 --> 0:26:38.840
<v Speaker 2>to city Drop Dead? Are we going to screw this

0:26:38.960 --> 0:26:41.760
<v Speaker 2>up so bad? Whoever is a new mayor that we're

0:26:41.760 --> 0:26:46.520
<v Speaker 2>going to see Trump to city full colon drop dead?

0:26:46.720 --> 0:26:49.280
<v Speaker 9>The mayor that Eric Adams. The budget that Mayor Eric

0:26:49.280 --> 0:26:52.879
<v Speaker 9>Adams put out yesterday is preposterous. It makes no allowances

0:26:52.880 --> 0:26:55.680
<v Speaker 9>for the likelihood of an economic downturn, no allowances for

0:26:55.760 --> 0:26:58.920
<v Speaker 9>the likelihood of federal budget cuts. He doesn't put one

0:26:59.160 --> 0:27:02.480
<v Speaker 9>penny in reserves, and it's got a one point four

0:27:02.480 --> 0:27:06.480
<v Speaker 9>billion dollar deficit in the current fiscal year. So yes,

0:27:06.520 --> 0:27:09.440
<v Speaker 9>this is him trying to campaign even though he long

0:27:09.560 --> 0:27:13.359
<v Speaker 9>destroyed his chances of people voting for him again. But yes,

0:27:13.400 --> 0:27:16.240
<v Speaker 9>he is going to hand the next mayor or real problem,

0:27:16.280 --> 0:27:18.600
<v Speaker 9>which is why New Yorkers need someone who knows how

0:27:18.600 --> 0:27:19.320
<v Speaker 9>the budget works.

0:27:19.520 --> 0:27:21.520
<v Speaker 4>Give us it. Just a sense of the state of

0:27:21.560 --> 0:27:24.720
<v Speaker 4>the city right now from a financial perspective, where are we?

0:27:25.040 --> 0:27:28.800
<v Speaker 9>Yeah, so before the tariff threats, we were actually in

0:27:28.840 --> 0:27:32.199
<v Speaker 9>pretty good shape. Private sector jobs back up above the

0:27:32.240 --> 0:27:38.159
<v Speaker 9>pandemic for the first time, commercial vacancies starting to decline.

0:27:38.359 --> 0:27:40.960
<v Speaker 9>Now too much growth in low wage sectors healthcare and

0:27:41.000 --> 0:27:44.800
<v Speaker 9>social services, but some promising signs. But if the tariffs

0:27:45.200 --> 0:27:48.000
<v Speaker 9>tip us into an economic downturn or a recession, that'll

0:27:48.000 --> 0:27:50.199
<v Speaker 9>blow a big hole in our budget. If there are

0:27:50.200 --> 0:27:54.000
<v Speaker 9>a big federal budget cuts to course services, that'll blow

0:27:54.000 --> 0:27:55.120
<v Speaker 9>a big hole in our budget.

0:27:55.200 --> 0:27:58.720
<v Speaker 5>Do you at this point anticipate the federal government cutting

0:27:58.760 --> 0:28:02.159
<v Speaker 5>back support of New York City for example?

0:28:02.240 --> 0:28:04.440
<v Speaker 9>Yeah, going two different ways. Look, the budget that they've

0:28:04.480 --> 0:28:06.680
<v Speaker 9>set the framework up for is going to cut money

0:28:06.680 --> 0:28:10.200
<v Speaker 9>to all cities and states, leave politics aside, and that's

0:28:10.280 --> 0:28:12.520
<v Speaker 9>you know, money for school lunches and money for healthcare

0:28:12.520 --> 0:28:15.200
<v Speaker 9>in our public hospitals. And then yes, I mean Trump

0:28:15.240 --> 0:28:18.760
<v Speaker 9>is clearly aiming at cities like New York, and that's

0:28:18.800 --> 0:28:21.560
<v Speaker 9>a real risk. So I've recommended putting a billion dollars

0:28:21.600 --> 0:28:23.920
<v Speaker 9>more in our Rainy Day Fund, a billion dollars more

0:28:23.960 --> 0:28:27.359
<v Speaker 9>in our general reserve, just so we could be prepared

0:28:27.400 --> 0:28:28.320
<v Speaker 9>for what's coming.

0:28:28.280 --> 0:28:31.800
<v Speaker 2>The land or distinction, like a lot of most people

0:28:31.880 --> 0:28:34.480
<v Speaker 2>grew up in one zip code, you know, on this

0:28:34.600 --> 0:28:36.560
<v Speaker 2>side of that side of Central Park or one of

0:28:36.560 --> 0:28:40.560
<v Speaker 2>the boroughs. You grew up in the shadow of kmox

0:28:40.600 --> 0:28:44.400
<v Speaker 2>out in Saint Louis, you are different because you actually

0:28:44.520 --> 0:28:48.120
<v Speaker 2>understand there's other cities out there, just like New York.

0:28:48.360 --> 0:28:50.560
<v Speaker 2>How bad is this going to be for Saint Louis

0:28:51.160 --> 0:28:54.680
<v Speaker 2>or for Dallas or for a very beleagued crime ridden

0:28:54.680 --> 0:28:55.320
<v Speaker 2>in Chicago.

0:28:55.800 --> 0:28:58.160
<v Speaker 9>Look, this is going to be a challenge for every city.

0:28:58.200 --> 0:29:01.000
<v Speaker 9>If you lose the federal funding that pays your school lunches,

0:29:01.120 --> 0:29:03.479
<v Speaker 9>or the money and your public hospitals, or your housing

0:29:03.600 --> 0:29:05.560
<v Speaker 9>vouchers there were you know, New York stands to lose

0:29:05.600 --> 0:29:08.360
<v Speaker 9>eight thousand housing vouchers. I don't know how many Saint.

0:29:08.200 --> 0:29:11.360
<v Speaker 2>Louis President Trump have the power to do that. Does

0:29:11.360 --> 0:29:14.280
<v Speaker 2>he have the power in two thousand and seventy five

0:29:14.680 --> 0:29:17.120
<v Speaker 2>to say, Trump to city drop dead?

0:29:17.440 --> 0:29:20.280
<v Speaker 9>Look, you know these eight thousand housing vouchers he's already

0:29:20.280 --> 0:29:22.360
<v Speaker 9>said he's going to cut. He absolutely has that power.

0:29:22.360 --> 0:29:24.880
<v Speaker 9>That'd be eight thousand more homeless families if we don't

0:29:24.920 --> 0:29:25.760
<v Speaker 9>do something about it.

0:29:26.640 --> 0:29:28.959
<v Speaker 5>Right outside our front doors here on Lexington Avenue, we've

0:29:28.960 --> 0:29:32.120
<v Speaker 5>got these big cameras on Lexington Avenue for the congestion pricing.

0:29:32.680 --> 0:29:35.120
<v Speaker 4>What's your view on that? Where are we on that?

0:29:35.320 --> 0:29:37.440
<v Speaker 9>It's a great step forward. You know, I was one

0:29:37.440 --> 0:29:39.440
<v Speaker 9>of the people. I've been fighting for it alongside Mike

0:29:39.440 --> 0:29:42.160
<v Speaker 9>Bloomberg since two thousand and seven when the governor put

0:29:42.160 --> 0:29:45.920
<v Speaker 9>it on pause. I convened the litigation coalition that got

0:29:45.920 --> 0:29:48.520
<v Speaker 9>it off pause by bringing two lawsuits. And now we've

0:29:48.560 --> 0:29:51.160
<v Speaker 9>got one hundred and sixty million dollars more headed toward

0:29:51.240 --> 0:29:55.120
<v Speaker 9>fifteen billion to invest in modern signals, in subway elevators,

0:29:55.120 --> 0:29:57.680
<v Speaker 9>in platform barriers and station gates. Is it better faster

0:29:57.800 --> 0:30:01.520
<v Speaker 9>subway service? Travel Time across the bridges are up ten

0:30:01.560 --> 0:30:05.560
<v Speaker 9>to thirty percent, Traffic is down twelve percent. More people

0:30:05.600 --> 0:30:07.760
<v Speaker 9>are on the subways more people are on the buses,

0:30:07.920 --> 0:30:10.280
<v Speaker 9>more people are taking a city bike. It is working

0:30:10.440 --> 0:30:11.840
<v Speaker 9>better than anybody predicting.

0:30:11.920 --> 0:30:15.280
<v Speaker 2>North to sixtieth Street, Park Avenue looks like downtown in

0:30:15.360 --> 0:30:19.080
<v Speaker 2>nineteen ten. It's like jammed up outside the congestion or

0:30:19.440 --> 0:30:20.240
<v Speaker 2>am I right on that?

0:30:20.760 --> 0:30:23.200
<v Speaker 9>There have not been big traffic backups, even on the

0:30:23.280 --> 0:30:25.640
<v Speaker 9>edges of the zone. Honestly, it is working better than

0:30:25.680 --> 0:30:29.160
<v Speaker 9>anyone expected. Foot traffic is up, business is going well.

0:30:29.200 --> 0:30:31.400
<v Speaker 9>This is one that I thought would be good. It's

0:30:31.440 --> 0:30:32.000
<v Speaker 9>even better.

0:30:32.120 --> 0:30:35.320
<v Speaker 2>Redlander, with this New York City controller and may oral

0:30:35.440 --> 0:30:38.680
<v Speaker 2>candidate here, what do you do up to the June primary?

0:30:38.720 --> 0:30:42.360
<v Speaker 2>I mean, well, what's the do you in this fractured

0:30:42.560 --> 0:30:45.800
<v Speaker 2>cultural New York City? I mean, I don't think it's

0:30:45.840 --> 0:30:49.240
<v Speaker 2>a city of a Beam or David Dinkins or others. Now,

0:30:49.600 --> 0:30:52.320
<v Speaker 2>how do you campaign in this modern age?

0:30:52.400 --> 0:30:55.080
<v Speaker 9>Well, first, you go everywhere, and it's an amazing city.

0:30:55.120 --> 0:30:58.400
<v Speaker 9>Yesterday I was out in Brownsville, I'm up in the Bronx,

0:30:58.480 --> 0:31:01.080
<v Speaker 9>I'm in all the as many neighborhood as I can

0:31:01.120 --> 0:31:02.840
<v Speaker 9>be personally. Of course, I'm up on the air with

0:31:02.880 --> 0:31:06.520
<v Speaker 9>TV ads next week. You're doing radio digital, You're getting

0:31:06.520 --> 0:31:08.680
<v Speaker 9>out on every single place. I love being here.

0:31:09.360 --> 0:31:09.760
<v Speaker 2>It's fun.

0:31:09.840 --> 0:31:12.880
<v Speaker 9>New Yorkers are amazing. They're very diverse. They tell you

0:31:12.920 --> 0:31:15.520
<v Speaker 9>how they feel. They're pissed off about how much how

0:31:15.520 --> 0:31:18.440
<v Speaker 9>expensive it is, and how expensive housing and childcare are.

0:31:18.720 --> 0:31:20.760
<v Speaker 9>They want to feel safer on the subways. So they

0:31:20.800 --> 0:31:23.600
<v Speaker 9>love hearing my plan to end street homelessness for folks

0:31:23.600 --> 0:31:24.840
<v Speaker 9>with serious mental illness.

0:31:24.960 --> 0:31:26.560
<v Speaker 4>What they want solution?

0:31:27.000 --> 0:31:28.880
<v Speaker 5>I mean, Tom and I we've been in this city

0:31:28.880 --> 0:31:29.920
<v Speaker 5>for a long long time.

0:31:29.960 --> 0:31:30.680
<v Speaker 4>Lisa as well.

0:31:31.960 --> 0:31:35.040
<v Speaker 9>What does the city like New York do on that. Look,

0:31:35.080 --> 0:31:38.080
<v Speaker 9>it's only about two thousand people who have serious mental

0:31:38.120 --> 0:31:40.840
<v Speaker 9>illness and are sleeping on subways and streets. We can

0:31:40.880 --> 0:31:44.400
<v Speaker 9>connect them to housing and services with a better continuum

0:31:44.400 --> 0:31:46.480
<v Speaker 9>of care and a model called Housing First. I put

0:31:46.480 --> 0:31:47.520
<v Speaker 9>out a plan to do it.

0:31:47.840 --> 0:31:48.400
<v Speaker 6>One of the.

0:31:48.240 --> 0:31:51.000
<v Speaker 2>Themes we're hearing from all the candidates, including your bread,

0:31:51.600 --> 0:31:55.120
<v Speaker 2>is the basic idea we need more police officers. You're

0:31:55.200 --> 0:31:59.760
<v Speaker 2>a liberal, how do you meet the Staten Island block

0:32:00.040 --> 0:32:03.720
<v Speaker 2>It says we're three thousand short now NYPD? How do

0:32:03.760 --> 0:32:04.800
<v Speaker 2>we affect that change?

0:32:04.840 --> 0:32:06.760
<v Speaker 9>Yeah, I mean I'm honest about it. I do think

0:32:06.800 --> 0:32:10.400
<v Speaker 9>progresses myself included. We're slow to reckon with rising disorder

0:32:10.480 --> 0:32:14.360
<v Speaker 9>coming out of the pandemic mental health crime, crime crime,

0:32:14.680 --> 0:32:18.080
<v Speaker 9>mental health disorder. But look, we're now, you know, fifteen

0:32:18.120 --> 0:32:20.840
<v Speaker 9>hundred officers down and by January first, it'll probably be

0:32:20.880 --> 0:32:22.880
<v Speaker 9>two or three thousand. So I have a plan to

0:32:22.920 --> 0:32:27.400
<v Speaker 9>recruit and retain officers underpaid. Growing the NYPD Cadet program. Well,

0:32:27.960 --> 0:32:30.440
<v Speaker 9>my big idea is, let's grow the NYPD Cadet program,

0:32:30.440 --> 0:32:33.160
<v Speaker 9>which brings people in and pays their college tuition. But

0:32:33.200 --> 0:32:35.600
<v Speaker 9>you have to be halfway through college first. Let's open

0:32:35.600 --> 0:32:37.640
<v Speaker 9>that up to kids out of high school. They could

0:32:37.640 --> 0:32:41.120
<v Speaker 9>become cadets. They start getting paid, they get their tuition covered,

0:32:41.120 --> 0:32:42.960
<v Speaker 9>they become better officers, keep our cities.

0:32:42.960 --> 0:32:46.520
<v Speaker 2>Say a two year old NYPD officer can go out

0:32:46.560 --> 0:32:49.880
<v Speaker 2>to the suburbs for more money, right are they? Frankly,

0:32:49.920 --> 0:32:54.000
<v Speaker 2>the nurses, the teachers, everybody else. It is the pay

0:32:54.040 --> 0:32:58.520
<v Speaker 2>grid of New York City. Underpaid is a general statement.

0:32:58.760 --> 0:33:00.520
<v Speaker 2>After X years, it's.

0:33:00.520 --> 0:33:03.200
<v Speaker 9>Very expensive to live in New York City. That is

0:33:03.240 --> 0:33:05.720
<v Speaker 9>a huge part of the challenge. That's why I'm focused

0:33:05.720 --> 0:33:08.480
<v Speaker 9>on housing affordability. I've got a program called Homes for

0:33:08.640 --> 0:33:12.600
<v Speaker 9>City Workers that'll invest pension funds alongside teachers and cops

0:33:12.760 --> 0:33:14.800
<v Speaker 9>and double the home they could afford. So if they

0:33:14.800 --> 0:33:17.720
<v Speaker 9>could afford a four hundred thousand dollars mortgage pension fund

0:33:17.800 --> 0:33:21.000
<v Speaker 9>invest alongside, they can buy an eight hundred thousand dollars home,

0:33:21.320 --> 0:33:23.800
<v Speaker 9>split the proceeds when they sell it. The pension funds

0:33:23.800 --> 0:33:25.960
<v Speaker 9>will keep doing well and we could have the next

0:33:26.000 --> 0:33:31.480
<v Speaker 9>generation of homeowners who are teachers, firefighters, cops, public hospital nurses.

0:33:31.560 --> 0:33:36.760
<v Speaker 9>That's what we need in New York, Saint Louis Cardinals.

0:33:37.200 --> 0:33:40.600
<v Speaker 9>But to this week, New York Knicks, I'm excited. You're

0:33:40.680 --> 0:33:44.880
<v Speaker 9>doing great. Let's you know, prostitutle for that game. Controller

0:33:46.040 --> 0:33:49.560
<v Speaker 9>comptroller buys his own seats in the noise greed section.

0:33:50.200 --> 0:33:53.000
<v Speaker 2>Brad Lander, thank you so much, New York City Controller.

0:33:58.560 --> 0:34:02.040
<v Speaker 1>This is the Bloomberg Survey Lengths podcast. Listen live each

0:34:02.080 --> 0:34:05.520
<v Speaker 1>weekday starting at seven am Eastern on Applecarplay and Android

0:34:05.560 --> 0:34:08.520
<v Speaker 1>Auto with the Bloomberg Business app. You can also watch

0:34:08.640 --> 0:34:11.560
<v Speaker 1>us live every weekday on YouTube and always on the

0:34:11.600 --> 0:34:12.680
<v Speaker 1>Bloomberg terminal.

0:34:12.960 --> 0:34:14.759
<v Speaker 2>Now the newspapers, here's Lisa to two.

0:34:14.920 --> 0:34:16.759
<v Speaker 10>Okay, so we all know how AI is being used

0:34:16.760 --> 0:34:19.359
<v Speaker 10>for so many things, right, so here is another.

0:34:19.320 --> 0:34:20.200
<v Speaker 9>Use for it.

0:34:20.200 --> 0:34:23.600
<v Speaker 10>It's helping job seekers find new careers, not just a

0:34:23.600 --> 0:34:26.200
<v Speaker 10>new job, but an entirely new career. So you have

0:34:26.239 --> 0:34:29.760
<v Speaker 10>AI tools from companies like Salesforce, Google, LinkedIn. They're helping

0:34:29.800 --> 0:34:34.560
<v Speaker 10>workers basically sell their skills, tailor their resumes to new areas,

0:34:34.680 --> 0:34:36.880
<v Speaker 10>identify roles that are kind of under the radar that

0:34:36.880 --> 0:34:37.400
<v Speaker 10>they wouldn't have.

0:34:37.400 --> 0:34:38.240
<v Speaker 7>Thought about before.

0:34:39.000 --> 0:34:42.399
<v Speaker 10>It's already in positions, and people in positions are already using

0:34:42.440 --> 0:34:45.720
<v Speaker 10>it within the company. For example, Salesforce has this AI

0:34:45.760 --> 0:34:49.920
<v Speaker 10>tool called Career Connect, so it analyzes their skills, right,

0:34:49.960 --> 0:34:53.279
<v Speaker 10>it recommends roles internally that they might not have thought of.

0:34:53.360 --> 0:34:56.279
<v Speaker 10>And then you have LinkedIn has one too, Google has

0:34:56.440 --> 0:34:57.360
<v Speaker 10>career Dreamer.

0:34:57.600 --> 0:35:01.120
<v Speaker 2>Is Salesforce just to pick on that wonderful shop? Do

0:35:01.160 --> 0:35:04.040
<v Speaker 2>they also use AI for career exit? Are they using

0:35:04.080 --> 0:35:05.080
<v Speaker 2>it to get rid of people?

0:35:05.160 --> 0:35:09.200
<v Speaker 10>Oh, that's a good question. That's usually yeah, it's usually

0:35:09.239 --> 0:35:10.439
<v Speaker 10>the word to get them in, but not.

0:35:10.360 --> 0:35:12.840
<v Speaker 4>To get them out. That's interesting. I mean, it's amazing.

0:35:12.960 --> 0:35:16.320
<v Speaker 2>What a I couldn't use stock movers exactly?

0:35:16.320 --> 0:35:17.200
<v Speaker 4>Well, I don't know.

0:35:17.760 --> 0:35:20.120
<v Speaker 5>Maybe I do give those emails from like your LinkedIn

0:35:20.160 --> 0:35:20.520
<v Speaker 5>and stuff.

0:35:20.520 --> 0:35:22.040
<v Speaker 4>Hey this job might be good for you, you know,

0:35:22.040 --> 0:35:25.320
<v Speaker 4>But suggests yeah, but I'm like I don't think so. Yeah,

0:35:25.360 --> 0:35:25.640
<v Speaker 4>but it.

0:35:25.640 --> 0:35:27.480
<v Speaker 10>Kind of like opens up their eyes, like you know,

0:35:27.520 --> 0:35:29.040
<v Speaker 10>you're like, wow, I never would have thought of that.

0:35:29.239 --> 0:35:31.960
<v Speaker 2>I got a LinkedIn email. This job would be good

0:35:31.960 --> 0:35:35.759
<v Speaker 2>for you. It was a lifeguard in Philadelphia.

0:35:39.360 --> 0:35:43.880
<v Speaker 10>Next, okay, we'll stick with tech, will go to eyeball

0:35:44.000 --> 0:35:47.080
<v Speaker 10>scanning technology. Okay, I don't know if either of you

0:35:47.120 --> 0:35:48.960
<v Speaker 10>would be up for it, but it's from the company

0:35:49.000 --> 0:35:53.719
<v Speaker 10>Tools for Humanity start up for COVID or no, why

0:35:53.760 --> 0:35:54.080
<v Speaker 10>would that?

0:35:54.120 --> 0:35:56.200
<v Speaker 2>Part of it is like Star Wars.

0:35:56.040 --> 0:35:59.640
<v Speaker 10>Straight out of Star Wars. So it's starting this week

0:35:59.719 --> 0:36:03.000
<v Speaker 10>people in like six cities San Francisco, La Atlanta or

0:36:03.000 --> 0:36:05.480
<v Speaker 10>some of them, and you can scan your eyes using

0:36:05.520 --> 0:36:09.320
<v Speaker 10>this spherical orb device at certain locations. So it's basically

0:36:09.400 --> 0:36:12.560
<v Speaker 10>to verify your identity, prove someone is human because there's

0:36:12.560 --> 0:36:16.000
<v Speaker 10>so many aid fakes out there. Okay, so that's why

0:36:16.000 --> 0:36:18.879
<v Speaker 10>they're doing this. And what's really interesting is that they're

0:36:19.000 --> 0:36:22.439
<v Speaker 10>using it also for dating apps because there's so many

0:36:22.440 --> 0:36:25.480
<v Speaker 10>people putting out of fake profiles. So this is going

0:36:25.520 --> 0:36:27.880
<v Speaker 10>to kind of make sure that people are not lying

0:36:28.000 --> 0:36:31.759
<v Speaker 10>and setting up these profiles that you know, people want

0:36:31.760 --> 0:36:33.120
<v Speaker 10>to date and they want to make sure they're getting

0:36:33.120 --> 0:36:36.319
<v Speaker 10>a real person. So like match Group is piloting with

0:36:36.320 --> 0:36:38.880
<v Speaker 10>this company Tools for Humanity and starting to use it

0:36:38.920 --> 0:36:39.520
<v Speaker 10>for that too.

0:36:39.440 --> 0:36:42.719
<v Speaker 4>Age verification on Tinder in Japan, they're using it for

0:36:42.960 --> 0:36:46.160
<v Speaker 4>oh my god people. So honest, I know, I guess

0:36:46.160 --> 0:36:47.000
<v Speaker 4>on these apps.

0:36:47.040 --> 0:36:49.520
<v Speaker 5>I mean, you know, I'm twenty six, No you're not,

0:36:49.560 --> 0:36:51.719
<v Speaker 5>you're sixty college.

0:36:52.120 --> 0:36:52.960
<v Speaker 2>What's your major?

0:36:53.120 --> 0:36:54.680
<v Speaker 4>Yeah, that's exactly.

0:36:54.960 --> 0:36:57.480
<v Speaker 10>So it was okay, So we've heard a lot of

0:36:57.480 --> 0:36:59.759
<v Speaker 10>stories about, you know, the big money that CEOs make,

0:36:59.840 --> 0:37:01.600
<v Speaker 10>right media and CEO paying the s and P five

0:37:01.680 --> 0:37:04.080
<v Speaker 10>hundred hit a high of sixteen point four million last year.

0:37:04.480 --> 0:37:06.480
<v Speaker 10>But the Wall Street Journal is saying a lot of

0:37:06.520 --> 0:37:09.400
<v Speaker 10>these heads of the companies they'd rather just pass on

0:37:09.480 --> 0:37:12.360
<v Speaker 10>the position than deal with what's going on in the

0:37:12.400 --> 0:37:15.399
<v Speaker 10>climate today. So a new study said that last year,

0:37:15.480 --> 0:37:18.200
<v Speaker 10>three hundred and seventy three public company chiefs left and

0:37:18.239 --> 0:37:21.719
<v Speaker 10>that was twenty four percent more than twenty twenty three.

0:37:21.800 --> 0:37:24.120
<v Speaker 10>So you see the number. But you know, they thought,

0:37:24.120 --> 0:37:26.120
<v Speaker 10>they're saying, they thought that, you know, the worst was

0:37:26.160 --> 0:37:28.719
<v Speaker 10>over when the pandemic was gone, and okay, we're back

0:37:28.760 --> 0:37:31.520
<v Speaker 10>to normal, But then came AI. Then came tariffs, then

0:37:31.560 --> 0:37:35.240
<v Speaker 10>came the positivety recession, then came scrutiny of DEI efforts,

0:37:35.239 --> 0:37:37.880
<v Speaker 10>and they're all thrown into this tizzy. So the problem

0:37:37.920 --> 0:37:40.719
<v Speaker 10>is that they're saying is that the turnover affects not

0:37:40.760 --> 0:37:44.680
<v Speaker 10>only them but everybody around them because new bosses come

0:37:44.680 --> 0:37:50.040
<v Speaker 10>in and they bosses sorry Brooklyn Accent bosses coming reorganize them.

0:37:50.360 --> 0:37:52.600
<v Speaker 10>Even if a business is healthy, people get laid off.

0:37:52.640 --> 0:37:54.120
<v Speaker 10>So there's starting to see.

0:37:53.920 --> 0:37:54.960
<v Speaker 9>That trickle down effect.

0:37:55.000 --> 0:37:56.520
<v Speaker 10>And that's that's basically.

0:37:56.719 --> 0:37:58.800
<v Speaker 5>I think a lot of these CEOs that made so

0:37:58.920 --> 0:38:01.480
<v Speaker 5>much money on their style over the past five ten

0:38:01.600 --> 0:38:04.000
<v Speaker 5>years that they're like, I'm done, you know, and particularly

0:38:04.040 --> 0:38:06.120
<v Speaker 5>in a time the economic times, we have the uncertain

0:38:06.200 --> 0:38:07.680
<v Speaker 5>to hear, what's a managed through.

0:38:08.280 --> 0:38:09.319
<v Speaker 10>It'll deal with it.

0:38:09.440 --> 0:38:10.400
<v Speaker 4>They don't want to deal with it.

0:38:10.440 --> 0:38:12.160
<v Speaker 10>A lot of them are saying they're empty nesters. Some

0:38:12.280 --> 0:38:14.120
<v Speaker 10>are saying, you know what, I'd rather be a consultant

0:38:14.239 --> 0:38:15.799
<v Speaker 10>and just we've done with this.

0:38:16.719 --> 0:38:18.359
<v Speaker 4>So it's got to get up every morning, go on.

0:38:18.440 --> 0:38:19.440
<v Speaker 4>The landscape is changing.

0:38:19.600 --> 0:38:23.120
<v Speaker 2>Lisa Mateo with our tech newspapers this morning. Thank you

0:38:23.160 --> 0:38:25.080
<v Speaker 2>so much, greatly appreciate it.

0:38:25.239 --> 0:38:30.080
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