WEBVTT - Market Unpredictability and Congestion Pricing

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 2>Kathy Jones joins is to give a first look it yield.

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<v Speaker 2>I look at total return on bond funds since the

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<v Speaker 2>bond market broke three years ago whatever now two and

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<v Speaker 2>a half years ago, and it ain't working. What's the

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<v Speaker 2>value proposition in bonds versus buy in two year of

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<v Speaker 2>Paul Sweeney two year yield forever?

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<v Speaker 3>Yeah, well, we didn't have positive returns last.

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<v Speaker 4>Year, and by look, you gotta do better than that.

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<v Speaker 5>Yeah, I know, but we did.

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<v Speaker 3>The agg was up in most categories except for very

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<v Speaker 3>long long term bonds or international bonds had positive returns.

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<v Speaker 3>And you know, the reason you buy bonds are for income,

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<v Speaker 3>and right now they have income. You buy them for

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<v Speaker 3>a capital preservation, just because.

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<v Speaker 6>Borrowing you want to get your money back.

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<v Speaker 3>You can get your money back, and for that sort

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<v Speaker 3>of certainty, right and for diversification. So at some point

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<v Speaker 3>in the sometime in the future, the stock market might

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<v Speaker 3>go down, and generally bonds do pretty well in that environment, Kathy.

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<v Speaker 5>For a long time we had an inverted yield curve

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<v Speaker 5>in some folks like Cam Harvey at Duke University would

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<v Speaker 5>tell you that means the recessions coming. We didn't get it.

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<v Speaker 5>Now we've got the yeld curve steeping. I got the

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<v Speaker 5>four I got the ten year at four to sixty,

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<v Speaker 5>the two year four and a quarter. What is that

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<v Speaker 5>steepening yield curve telling us?

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<v Speaker 3>Yeah, this was one for the record books. We didn't

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<v Speaker 3>get the recession after the inverted yield curve. I think

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<v Speaker 3>it's telling us two things. It's telling us, yes, the

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<v Speaker 3>market still looks for the Fed to cut a couple

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<v Speaker 3>of times at the short end, but the long end

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<v Speaker 3>is reflecting all of the risks that we have for

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<v Speaker 3>inflation and for policy that may prove to be inflationary

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<v Speaker 3>down the road. So we're going back to a more normal,

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<v Speaker 3>steeper yield curve, and I think that continues.

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<v Speaker 5>So what am I doing in terms of credit? Here?

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<v Speaker 5>Do I take credit risk? Here? Do I just be

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<v Speaker 5>comfortable in my treasury market?

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<v Speaker 3>Yeah? I think you can take some credit risk. We

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<v Speaker 3>are cautious on overdoing it on credit going too far

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<v Speaker 3>down the spectrum, because we are starting to see defaults

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<v Speaker 3>rise in the high yield market, in the lower credit

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<v Speaker 3>quality part of the market. But investment grade companies, you know,

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<v Speaker 3>they have cash flow that have strong earnings. It's really

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<v Speaker 3>hard to fight that. So we'd continue at the investment rate.

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<v Speaker 3>And you know, in the intermediate duration category.

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<v Speaker 4>The real yield, what does that indicate to you? The

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<v Speaker 4>nominally yield, folks, I think it's Paul, it's the beginning

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<v Speaker 4>of the year. Like every jargon we use. We got

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<v Speaker 4>to redefine it, right, even if it's slows a show

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<v Speaker 4>down to Alisa Monteo crawl. We don't want to do that.

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<v Speaker 2>But the real yield is the inflation adjusted yield. There's

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<v Speaker 2>different ways to measure, but the answer is it's.

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<v Speaker 4>Up up and a way. Does that impinge on Lizzie

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<v Speaker 4>and Saunders economy?

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<v Speaker 3>Well, I think at some stage of the game, other

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<v Speaker 3>asset classes may look at the positive real yield of

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<v Speaker 3>say two and a half percent, maybe moving up to

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<v Speaker 3>three percent?

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<v Speaker 2>Really are you well, we've gotta make some news here finely,

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<v Speaker 2>can I put that on on YouTube?

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<v Speaker 4>Kathy Jones models three percent ten year real yield.

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<v Speaker 3>I don't think that it's out of the question at all.

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<v Speaker 3>If you get a five percent ten year which is

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<v Speaker 3>not out, which is within the range of potential outcomes

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<v Speaker 3>that we have, and inflation continues to drift lower, you're

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<v Speaker 3>going to get very close to that three percent real yield.

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<v Speaker 3>And I would think at some point other asset classes

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<v Speaker 3>would pay attention to that and say it's competition. But

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<v Speaker 3>in terms of the economy, I notice Kathy both chantick

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<v Speaker 3>I always have trouble with their name.

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<v Speaker 5>But Centory.

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<v Speaker 2>We got to take a pall here right now, Lisa Matteo,

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<v Speaker 2>do you have trouble with Kathys Johnson's name?

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<v Speaker 5>Best Paul, do you have trouble with you? And say, hey, friend, welcome.

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<v Speaker 3>To a terrific e.

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<v Speaker 4>She's a killer.

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<v Speaker 2>I'm sitting there butchering. Mark Crumpton keeps a list of

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<v Speaker 2>all the names that God I can pronounce Jones. But

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<v Speaker 2>Mark Crumpton keeps a list of all the things I butchered.

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<v Speaker 4>And at the top of the list is Kathley has

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<v Speaker 4>studyed Good.

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<v Speaker 2>Morning Kathy, a nationwide tell us about Kathy's announce well.

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<v Speaker 3>She talked about productivity. So we can have high real

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<v Speaker 3>yield if we have strong productivity, And that's the question mark.

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<v Speaker 3>Does that continue or not?

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<v Speaker 5>What does our Federal Reserve do over the next couple

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<v Speaker 5>of meetings here? Because now, I mean we kind of

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<v Speaker 5>started thinking six nine months ago it could be multiple

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<v Speaker 5>breat cuts. Now the market's down to maybe one or two.

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<v Speaker 5>What do you think? Yeah, I think.

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<v Speaker 3>They're very cautious from here.

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<v Speaker 5>They have to be.

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<v Speaker 3>We'll get the minutes later this week of the meeting,

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<v Speaker 3>which should be very interesting, but they have to be

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<v Speaker 3>very cautious because there's so much policy uncertainty on the

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<v Speaker 3>horizon and the economy continues to do better than they thought.

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<v Speaker 4>Thank you so much for coming in today. Thanks liz

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<v Speaker 4>Ane would have done this. I mean she's cold. She's like, no.

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<v Speaker 5>Way, she's down in Florida.

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<v Speaker 4>She said, exactly, Yeah what liz An smart? The rest

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<v Speaker 4>of us moll that's O there is, Kathy Jones. Thank

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<v Speaker 4>you so much for getting to start.

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<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

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<v Speaker 2>Glor Calvisina of RBC Capital Markets, Laurie, up twenty percent,

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<v Speaker 2>up twenty percent. How do you model up up again?

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<v Speaker 7>Well, thanks for having me, Tom, and happy new year.

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<v Speaker 5>Look.

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<v Speaker 7>I think you can't really do it from a valuation perspective.

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<v Speaker 7>My valuation model is the most conservative one in our

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<v Speaker 7>targeting process. But I do think on the sentiment side,

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<v Speaker 7>we have an important development in December, which was that

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<v Speaker 7>everybody got worried, and so we saw aaii net bulls

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<v Speaker 7>fall from a range you know that had been one

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<v Speaker 7>standard deviation above the long term average back in October.

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<v Speaker 7>It stayed elevated as we got into early December, and

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<v Speaker 7>it's pulled back now to the long term average. If

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<v Speaker 7>you look at the four week average, and if you

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<v Speaker 7>look at the weekly data point that came out last week,

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<v Speaker 7>I think the bulls and the bears were basically at

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<v Speaker 7>parody with one another, and that actually improves the setup

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<v Speaker 7>for stocks going forward. So I think we can get there.

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<v Speaker 7>I think you can. You can also have earnings help

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<v Speaker 7>drive the market higher. I just don't think you get

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<v Speaker 7>it from a valuation expansion perspective. I think we've really

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<v Speaker 7>done the valuation expansion that we're going to do in

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<v Speaker 7>this cycle.

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<v Speaker 5>Hey, Lorie, how about earnings? How important are they going

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<v Speaker 5>to be?

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<v Speaker 3>Here?

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<v Speaker 5>It seems like the Fed's not going to be doing

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<v Speaker 5>too much heavy lifting forming in twenty twenty five. It

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<v Speaker 5>feels like, and I can't imagine getting multiple expansion from here.

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<v Speaker 5>So it feels like if any performance we're going to

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<v Speaker 5>get in twenty five, it is going to be earnings driven.

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<v Speaker 5>Is that a fair assessment?

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<v Speaker 7>I think that's I think you hit the nail on

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<v Speaker 7>the head, Paul. And look, I do think earnings have

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<v Speaker 7>some challenges as we go into this next recording season. Namely,

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<v Speaker 7>margin expectations have been coming down if you look at

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<v Speaker 7>the bottom up sell side consensus estimates, that's been under

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<v Speaker 7>their way since the middle of last year, actually, but

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<v Speaker 7>it's continued as we look at these past few weeks.

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<v Speaker 7>And if you think about, you know, sort of the dollar.

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<v Speaker 7>A stronger dollar typically causes downward revisions, and I know

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<v Speaker 7>the dollar has been all over the place, you know,

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<v Speaker 7>and showing some weakness at least last I checked this morning.

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<v Speaker 7>But the four Q strengthening that we had, that cake

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<v Speaker 7>is already baked. So we've got to sort of see

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<v Speaker 7>what companies say about that. And look, Paul, I've been

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<v Speaker 7>doing this a long time. It always amazes me that

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<v Speaker 7>when we go through these periods of dollar strength, I

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<v Speaker 7>go in and you know, read earnings call transcripts, and companies,

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<v Speaker 7>especially in healthcare and tech, like to blame weakness on

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<v Speaker 7>the dollar. You know that everybody saw in real time,

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<v Speaker 7>but nobody marks their models until we actually, you know,

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<v Speaker 7>get to the end of the quarter. But I think

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<v Speaker 7>you've got some little issues like that, and I do

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<v Speaker 7>frankly expect companies to keep the bar somewhat low, just

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<v Speaker 7>that we do still have some uncertainty in terms of

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<v Speaker 7>things like taxes and tariffs. So I think earnings are

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<v Speaker 7>going to be good and solid, but maybe not a

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<v Speaker 7>ton of excitement here in the very short term.

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<v Speaker 2>I want to talk about religion, Laurie, and that what

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<v Speaker 2>I saw in all the wrap ups of last year

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<v Speaker 2>in this great bul market. Take it back to Ben

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<v Speaker 2>Laidler and Christmas Eveo. I believe twenty eighteen is the

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<v Speaker 2>worship of free cash flow. They have nots the people

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<v Speaker 2>that aren't trading it in Vidia multiples. Do they have

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<v Speaker 2>a new religion to emphasize free cash flow growth or

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<v Speaker 2>do we awake that. Why aren't more companies saying we

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<v Speaker 2>got to boost free cash flow?

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<v Speaker 7>It's an interesting question, ton. I'll tell you it's not

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<v Speaker 7>a big part of my process, and that may be

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<v Speaker 7>because I'm sort of overly influenced by my small cap

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<v Speaker 7>days and I am a data nerd at heart. We've

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<v Speaker 7>talked about that on this show before. But I will

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<v Speaker 7>tell you that when I look at different databases and

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<v Speaker 7>try to bring in free cash flow data, especially free

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<v Speaker 7>cash flow estimates, it's really kind of garbage like when

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<v Speaker 7>you try to aggregate it off to the market level.

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<v Speaker 7>So I'm, not, to be honest, a big you know,

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<v Speaker 7>sort of part of that philosophy.

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<v Speaker 5>So, Laurie, as we think about twenty twenty five, it

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<v Speaker 5>seems like, again two years in a row, we've had

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<v Speaker 5>twenty percent plus returns in the SP five hundred, in

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<v Speaker 5>large part tech driven. Quite frankly, it seems like this

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<v Speaker 5>has been a tech driven market for fifteen years. Is

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<v Speaker 5>tech going to be a leader in twenty twenty five?

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<v Speaker 5>Does it need to be a leader in twenty twenty five.

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<v Speaker 7>It's a great question, Paul. And if you actually go

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<v Speaker 7>back and I think it was after Trump's first victory.

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<v Speaker 7>We went back and looked at sector performance in the

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<v Speaker 7>twelve month period after that first Trump victory that November election,

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<v Speaker 7>and we found both financials and tech outperformed. So it

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<v Speaker 7>doesn't shed a ton of light on the growth versus

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<v Speaker 7>JALU trade at the sector level, but we did see

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<v Speaker 7>growth stocks generally outperform in that period, and we've seen

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<v Speaker 7>growth stocks, you know, big megacap tech type names, continue

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<v Speaker 7>to hang on to their leadership here in the aftermath

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<v Speaker 7>of this election as well. And look, I think a

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<v Speaker 7>lot of people want this market to broaden out. You

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<v Speaker 7>can count myself in that camp.

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<v Speaker 4>Yeah.

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<v Speaker 7>That being said, I think we have to understand and

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<v Speaker 7>why we have had so many head fakes so far,

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<v Speaker 7>and it is simply because the value part of the market,

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<v Speaker 7>the rest of the S and P whatever you want

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<v Speaker 7>to call it, has just not put up superior earnings

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<v Speaker 7>growth and the mag seven you know that it has

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<v Speaker 7>been fighting back, and we see it in terms of

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<v Speaker 7>near term consensus expectations. They're still dominant even though a

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<v Speaker 7>ramp down is anticipated, and long term earning growth expectations

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<v Speaker 7>are still sitting at big highs relative to the rest

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<v Speaker 7>of the market, and that is sustaining the premium valuation

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<v Speaker 7>multiples until you break that. And I think a hotter

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<v Speaker 7>economy than what we've been expecting, like more like a

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<v Speaker 7>three percent economy than a two percent economy, I think

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<v Speaker 7>can help that value part of the market. See earnings growth,

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<v Speaker 7>you don't move up, but we're just not seeing it yet.

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<v Speaker 7>And so I think, to be honest, if I look

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<v Speaker 7>back at my December meetings, this whole go with value broadening,

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<v Speaker 7>it just seems so consensus right now, especially in the

0:10:49.280 --> 0:10:51.319
<v Speaker 7>fact that the earnings growth dynamics aren't shifting.

0:10:51.800 --> 0:10:54.400
<v Speaker 2>Lloyd Kelvicina, I look at where we are, and what

0:10:54.520 --> 0:10:57.800
<v Speaker 2>I'd suggest is sort of the zeitgeist now as everybody's

0:10:57.840 --> 0:11:00.920
<v Speaker 2>pulling away the last five six days, I think like

0:11:00.960 --> 0:11:02.880
<v Speaker 2>three hundred and sixty five days ago, we had the

0:11:02.920 --> 0:11:06.160
<v Speaker 2>same thing going on. How do you interpret the pulling

0:11:06.200 --> 0:11:09.920
<v Speaker 2>away we're seeing right now? People selling Meg seven, people

0:11:10.000 --> 0:11:10.680
<v Speaker 2>lightening up.

0:11:12.080 --> 0:11:14.840
<v Speaker 7>Yeah. Look, I think there is a natural inclination to

0:11:14.880 --> 0:11:18.000
<v Speaker 7>take some profits when you've had this frothy sentiment in place,

0:11:18.160 --> 0:11:20.240
<v Speaker 7>and I don't think people realize how much the sentiment

0:11:20.280 --> 0:11:23.200
<v Speaker 7>started to unravel. But there's been a big concern about valuations,

0:11:23.200 --> 0:11:25.480
<v Speaker 7>and we've got a lot of uncertainty on the policy front,

0:11:25.760 --> 0:11:27.480
<v Speaker 7>so I do think it makes sense to sort of

0:11:27.520 --> 0:11:30.480
<v Speaker 7>retrace here a little bit, take some profits and see

0:11:30.480 --> 0:11:32.079
<v Speaker 7>where we need to redeploy in a bit.

0:11:32.559 --> 0:11:36.120
<v Speaker 2>Laurie, thank you so much, Lori Kelvisina, RBC Capital Mark.

0:11:36.160 --> 0:11:38.120
<v Speaker 4>It's just a huge value.

0:11:38.320 --> 0:11:38.400
<v Speaker 2>Ed.

0:11:44.200 --> 0:11:48.120
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:11:48.160 --> 0:11:51.160
<v Speaker 1>starting at seven am Eastern on Apple Cocklay and Android

0:11:51.200 --> 0:11:54.240
<v Speaker 1>Auto with the Bloomberg Business up. You can also listen

0:11:54.320 --> 0:11:57.560
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:11:58.120 --> 0:12:00.400
<v Speaker 1>Just say Alexa, play Bloomberg.

0:12:00.960 --> 0:12:04.640
<v Speaker 2>Procest Nation on your commute this morning, the one everyone

0:12:04.720 --> 0:12:07.520
<v Speaker 2>on transportation is watching. No, Paul, it's not the build

0:12:07.520 --> 0:12:10.920
<v Speaker 2>out in ink or what they're doing with JFK terminal wone.

0:12:11.480 --> 0:12:12.800
<v Speaker 4>Jenna Lieber joins us.

0:12:12.720 --> 0:12:16.599
<v Speaker 2>Today running the MTA off of this congestion tax in

0:12:16.640 --> 0:12:19.720
<v Speaker 2>New York, and we're thrilled the Bloomberg Surveillance will bring

0:12:19.760 --> 0:12:22.360
<v Speaker 2>them to you for the entire risk of this hour.

0:12:22.400 --> 0:12:27.120
<v Speaker 2>An incredibly busy day, important Monday for you. I've got

0:12:27.160 --> 0:12:29.800
<v Speaker 2>one question which Krity grouped in London actually brought up

0:12:29.800 --> 0:12:32.600
<v Speaker 2>because I know Paul's fired up here with a bunch

0:12:32.600 --> 0:12:37.920
<v Speaker 2>of questions as well. Part of the bargain in Stockholm

0:12:38.080 --> 0:12:41.360
<v Speaker 2>is they have a world class taxi service. Part of

0:12:41.400 --> 0:12:44.600
<v Speaker 2>the bargain in London is they have a world class

0:12:44.640 --> 0:12:49.320
<v Speaker 2>taxi service. I'm in taxis constantly here that are third world.

0:12:49.559 --> 0:12:53.120
<v Speaker 2>How does this congestion tax get us is crity goop

0:12:53.200 --> 0:12:57.440
<v Speaker 2>dimension to a better taxi experience?

0:12:57.840 --> 0:13:00.800
<v Speaker 8>I think, Tom, thanks thanks for having me. I think

0:13:00.800 --> 0:13:03.720
<v Speaker 8>that the taxis in New York are dominated, as we

0:13:03.880 --> 0:13:07.120
<v Speaker 8>all know, by Uber and Lyft, and they actually are

0:13:07.160 --> 0:13:09.119
<v Speaker 8>looking forward to having.

0:13:09.679 --> 0:13:12.079
<v Speaker 4>You interrupt here. You're telling the poor people of New

0:13:12.120 --> 0:13:13.440
<v Speaker 4>York City to take an Uber.

0:13:13.720 --> 0:13:16.360
<v Speaker 8>Yeah, you know what, the right now that the cost

0:13:16.400 --> 0:13:19.080
<v Speaker 8>difference between Uber and taxis is not all that great.

0:13:19.120 --> 0:13:20.839
<v Speaker 8>I'm not in the taxi business, so I'm trying to

0:13:20.880 --> 0:13:24.400
<v Speaker 8>answer your question. But the point is with more with

0:13:24.840 --> 0:13:27.880
<v Speaker 8>less congestion on the roads, you're going to have the

0:13:27.960 --> 0:13:31.200
<v Speaker 8>taxi industry, I think is going to do better. I mean,

0:13:31.240 --> 0:13:33.240
<v Speaker 8>people will be able to move more quickly, pick up

0:13:33.280 --> 0:13:36.800
<v Speaker 8>more rides, and for what is actually seventy five cents

0:13:36.840 --> 0:13:40.320
<v Speaker 8>per ride when the average ride of a taxi taxi

0:13:40.360 --> 0:13:42.560
<v Speaker 8>ride now in New York is like twenty five bucks,

0:13:42.760 --> 0:13:44.439
<v Speaker 8>so seventy five cents a ride, and they're going to

0:13:44.520 --> 0:13:46.559
<v Speaker 8>be able to move much more quickly, take more rides.

0:13:46.600 --> 0:13:48.160
<v Speaker 8>I think it's going to be good for the industry.

0:13:48.679 --> 0:13:51.400
<v Speaker 5>Part of the outcome that you guys are hoping for,

0:13:51.520 --> 0:13:54.640
<v Speaker 5>that we're all hoping for as a city is reduced traffic,

0:13:54.720 --> 0:13:57.200
<v Speaker 5>reduced congestion within the city. When don't we know if

0:13:57.240 --> 0:13:58.439
<v Speaker 5>that's actually happening.

0:13:58.440 --> 0:13:59.040
<v Speaker 6>It's a good question.

0:13:59.040 --> 0:14:01.559
<v Speaker 8>It's going to take a while to obviously, to take effect.

0:14:01.760 --> 0:14:05.160
<v Speaker 8>New York is adjust and they are resilient, but it's

0:14:05.200 --> 0:14:07.000
<v Speaker 8>gonna take a little while. So we're gonna be watching

0:14:07.080 --> 0:14:09.800
<v Speaker 8>it very closely, day by day, week by week. I

0:14:09.800 --> 0:14:13.079
<v Speaker 8>don't expect to see some dramatic change on the first

0:14:13.160 --> 0:14:13.960
<v Speaker 8>or the second day.

0:14:14.000 --> 0:14:14.520
<v Speaker 6>Over time.

0:14:14.559 --> 0:14:17.800
<v Speaker 8>We're expecting a ten to twenty percent reduction in traffic.

0:14:17.840 --> 0:14:20.840
<v Speaker 8>That's what we're shooting for. But Paul, the big issue

0:14:20.880 --> 0:14:24.080
<v Speaker 8>here is New York is leading New York Is and

0:14:24.120 --> 0:14:28.000
<v Speaker 8>I think I know you're an international outfit. New York

0:14:28.120 --> 0:14:31.000
<v Speaker 8>is becoming a twenty first century city. We just did

0:14:31.160 --> 0:14:33.520
<v Speaker 8>you know two train terminals in the last couple of years,

0:14:33.680 --> 0:14:36.840
<v Speaker 8>La Guardi Airport a total rebuild. It's number one in

0:14:36.880 --> 0:14:39.560
<v Speaker 8>the country. JFK is getting rebuilt. I know your Newark

0:14:39.600 --> 0:14:42.520
<v Speaker 8>Airport is getting investment. This is about being a twenty

0:14:42.560 --> 0:14:44.960
<v Speaker 8>first century city where we don't spend all our time

0:14:45.000 --> 0:14:48.840
<v Speaker 8>stuck in traffic. The business community that has always supported

0:14:48.880 --> 0:14:52.960
<v Speaker 8>congestion pricing under Mike Bloomberg's lead in part because it,

0:14:53.120 --> 0:14:56.240
<v Speaker 8>you know, congestion and time spending traffic is a tax

0:14:56.360 --> 0:14:57.120
<v Speaker 8>on our economy.

0:14:57.840 --> 0:15:00.880
<v Speaker 5>A lot of folks view this congestion price as simply

0:15:00.920 --> 0:15:06.520
<v Speaker 5>a tax on consumers. Your budget is nineteen billion dollars.

0:15:06.560 --> 0:15:08.480
<v Speaker 5>I believe that the MTA is for twenty twenty four.

0:15:08.960 --> 0:15:10.920
<v Speaker 5>You need more money. That's what a lot of folks

0:15:10.920 --> 0:15:11.280
<v Speaker 5>are saying.

0:15:11.440 --> 0:15:12.800
<v Speaker 6>Listen, this is as you said.

0:15:12.840 --> 0:15:15.200
<v Speaker 8>This is ninety percent of the people who come to

0:15:15.200 --> 0:15:18.200
<v Speaker 8>the central business this or take transit. We're carrying six

0:15:18.240 --> 0:15:21.520
<v Speaker 8>to seven million people a day on mass transit. So yeah,

0:15:21.800 --> 0:15:23.640
<v Speaker 8>we have we have to pay a lot of people,

0:15:23.640 --> 0:15:26.600
<v Speaker 8>and eighty percent of our cost is wages and pensions

0:15:26.640 --> 0:15:28.800
<v Speaker 8>and benefits. No question, we'd have to pay a lot

0:15:28.800 --> 0:15:32.480
<v Speaker 8>of people to deliver that service. But the bottom line

0:15:32.520 --> 0:15:36.360
<v Speaker 8>is congestion pricing is about the benefits. It's about not

0:15:36.440 --> 0:15:40.720
<v Speaker 8>just money for the MTA, but about lower traffic, cleaner air,

0:15:41.080 --> 0:15:44.560
<v Speaker 8>safer streets, and a more functioning economy. That's the goal.

0:15:44.640 --> 0:15:47.600
<v Speaker 8>That's why London did it, and that's why we're following.

0:15:48.000 --> 0:15:48.520
<v Speaker 4>I was in.

0:15:48.440 --> 0:15:50.920
<v Speaker 2>Paris last week and all I could say is what

0:15:51.040 --> 0:15:54.800
<v Speaker 2>a difference in congestion. It was just beyond pleasant. When

0:15:54.840 --> 0:15:59.320
<v Speaker 2>are we going to see results? Are we talking tuesday

0:15:59.400 --> 0:16:01.320
<v Speaker 2>and we talk in twenty twenty seven?

0:16:01.760 --> 0:16:03.840
<v Speaker 8>Listen, I want to sit here and tell you I

0:16:03.880 --> 0:16:07.080
<v Speaker 8>have a crystal ball. The bottom line is adjustments are

0:16:07.080 --> 0:16:09.680
<v Speaker 8>going to be made. It's gonna definitely take place over time.

0:16:10.040 --> 0:16:13.480
<v Speaker 8>Let's watch it together. There's gonna be total transparency on

0:16:13.520 --> 0:16:15.840
<v Speaker 8>the MTA side. We're gonna have a you know, a

0:16:15.920 --> 0:16:18.360
<v Speaker 8>dashboard app for everybody to look at how many cars

0:16:18.400 --> 0:16:22.200
<v Speaker 8>came in as compared to before the system went in,

0:16:22.600 --> 0:16:25.040
<v Speaker 8>and how many of them are chargeable, and we're gonna

0:16:25.040 --> 0:16:25.880
<v Speaker 8>be monitoring it close.

0:16:26.080 --> 0:16:28.520
<v Speaker 2>Number one question I get is what happens, folks, For

0:16:28.560 --> 0:16:31.360
<v Speaker 2>those of you across the nation and worldwide. The outer

0:16:31.480 --> 0:16:34.880
<v Speaker 2>rege of Manhattan North South is the FDR in the

0:16:34.920 --> 0:16:39.520
<v Speaker 2>West Side Highway. What happens to those two important thoroughfares

0:16:39.760 --> 0:16:41.760
<v Speaker 2>where I believe there's no congestion text.

0:16:41.880 --> 0:16:44.800
<v Speaker 8>Yeah, well, the idea is that these are so called

0:16:44.840 --> 0:16:47.320
<v Speaker 8>excluded roadways that are on the edge of Manhattan, that

0:16:47.360 --> 0:16:49.920
<v Speaker 8>people should be able to use them to get around

0:16:49.960 --> 0:16:54.080
<v Speaker 8>the congestion zone. Listen, we have to We always talk

0:16:54.120 --> 0:16:58.040
<v Speaker 8>about drivers like the dominant reality. I know you guys

0:16:58.080 --> 0:17:00.440
<v Speaker 8>take trans At ninety percent of people who come to

0:17:00.480 --> 0:17:03.200
<v Speaker 8>the Central Business State history take transit. There are only

0:17:03.240 --> 0:17:06.680
<v Speaker 8>one hundred and thirty thousand people coming to the CBD

0:17:07.280 --> 0:17:10.919
<v Speaker 8>who drive their personal cars as opposed to a million

0:17:10.920 --> 0:17:13.080
<v Speaker 8>and a half jobs. So I don't think that we're

0:17:13.080 --> 0:17:17.000
<v Speaker 8>gonna have some catastrophic traffic impact because a portion of

0:17:17.040 --> 0:17:20.440
<v Speaker 8>those people do elect to take transit, or that people

0:17:20.440 --> 0:17:22.679
<v Speaker 8>are avoiding the charge. I think we're gonna see it

0:17:22.680 --> 0:17:25.280
<v Speaker 8>all get baked in over time, but we're gonna watch

0:17:25.320 --> 0:17:26.840
<v Speaker 8>it closely, and we're gonna talk to you about it.

0:17:27.280 --> 0:17:28.960
<v Speaker 8>We have a new president coming in in a couple

0:17:29.000 --> 0:17:32.639
<v Speaker 8>of weeks. I'll hear your tunnel exactly.

0:17:32.760 --> 0:17:35.200
<v Speaker 5>Now, just what do you what do you think president

0:17:35.440 --> 0:17:38.920
<v Speaker 5>in president like Trump will do if anything about this plan.

0:17:39.119 --> 0:17:39.560
<v Speaker 6>I don't know.

0:17:39.640 --> 0:17:42.960
<v Speaker 8>You know, we got sued by in every every court front.

0:17:43.000 --> 0:17:45.080
<v Speaker 8>You know east of the Mississippi's.

0:17:44.320 --> 0:17:46.560
<v Speaker 4>Gonna say, is there anyone who hasn't sued you? Yeah?

0:17:46.560 --> 0:17:47.720
<v Speaker 4>But Lisa Tay, are.

0:17:47.640 --> 0:17:48.840
<v Speaker 6>You filing this party?

0:17:48.960 --> 0:17:49.120
<v Speaker 4>Yeah?

0:17:49.160 --> 0:17:51.240
<v Speaker 8>But you know what, we went every lawsuit because we

0:17:51.280 --> 0:17:54.040
<v Speaker 8>did a four thousand page study. The FEDS approved it.

0:17:54.520 --> 0:17:56.320
<v Speaker 8>You know, it took five years to do the study.

0:17:56.320 --> 0:17:58.120
<v Speaker 8>It takes about five minutes to figure out New York

0:17:58.160 --> 0:18:01.119
<v Speaker 8>as a congestion problem if you stand in midtown. But

0:18:01.640 --> 0:18:05.280
<v Speaker 8>the what President Trump is going to do, I'm not certain.

0:18:05.280 --> 0:18:08.480
<v Speaker 8>There's a lot of Republican politicians who are against mass

0:18:08.480 --> 0:18:09.520
<v Speaker 8>transit and who.

0:18:09.600 --> 0:18:10.360
<v Speaker 6>Rail about this.

0:18:10.760 --> 0:18:13.600
<v Speaker 8>President Trump is also in New Yorker ruins office buildings,

0:18:13.600 --> 0:18:15.800
<v Speaker 8>and ninety percent of the people who work in his

0:18:15.880 --> 0:18:19.520
<v Speaker 8>office buildings come on mass transit, So I'm optimistic that

0:18:19.600 --> 0:18:20.280
<v Speaker 8>he will get it.

0:18:20.520 --> 0:18:24.159
<v Speaker 2>We are on a General Libo's Lever's CEO of the

0:18:24.320 --> 0:18:27.679
<v Speaker 2>MTA with us today for this extended block. Here we

0:18:27.680 --> 0:18:30.200
<v Speaker 2>welcome all of you on Bloomberg Surveillance nationwide and you

0:18:30.280 --> 0:18:35.399
<v Speaker 2>commute and on YouTube subscribe to Bloomberg Podcast. To say

0:18:35.720 --> 0:18:38.240
<v Speaker 2>the least, I have talked to Mayor Adams not once,

0:18:38.280 --> 0:18:41.280
<v Speaker 2>but twice about a New Orleans experiment. I believe over

0:18:41.280 --> 0:18:44.679
<v Speaker 2>in Europe a free bus service for the poor. The

0:18:44.760 --> 0:18:48.520
<v Speaker 2>congestion text is about fancy people like Paul Sweeney in

0:18:48.560 --> 0:18:51.960
<v Speaker 2>his ginormous car or me being driven by the Bentley

0:18:52.000 --> 0:18:53.000
<v Speaker 2>Down Fifth Avenue.

0:18:53.240 --> 0:18:56.360
<v Speaker 4>Forget about it. What do we do to help.

0:18:56.480 --> 0:19:00.520
<v Speaker 2>Really needy people who need to commute from to say,

0:19:00.760 --> 0:19:02.600
<v Speaker 2>Rockaway Beach up to wherever?

0:19:02.720 --> 0:19:06.399
<v Speaker 8>Okay, well, let's just be real, because ninety five plus

0:19:06.400 --> 0:19:09.080
<v Speaker 8>percent of those people you're talking about, low income people

0:19:09.119 --> 0:19:11.400
<v Speaker 8>who live in the boroughs, take transit. They don't drive

0:19:11.480 --> 0:19:15.560
<v Speaker 8>because parking in midtown is Should we offer them free

0:19:15.560 --> 0:19:18.080
<v Speaker 8>bus search you know what we're offering. What we're offering

0:19:18.200 --> 0:19:20.960
<v Speaker 8>is we have them for the first time. The MTA,

0:19:21.480 --> 0:19:25.199
<v Speaker 8>under Mayor Adams leadership, has been pushing a fairfares program

0:19:25.240 --> 0:19:28.160
<v Speaker 8>that cuts the price of transit in half for low

0:19:28.280 --> 0:19:31.639
<v Speaker 8>income people. And you know what, Tom, Transit is one

0:19:31.680 --> 0:19:34.080
<v Speaker 8>of the very few things that makes New York affordable.

0:19:34.160 --> 0:19:36.600
<v Speaker 8>It's fifteen percent the cost of owning a car. It's

0:19:36.640 --> 0:19:39.280
<v Speaker 8>already a good deal at full price. At half price,

0:19:39.400 --> 0:19:41.879
<v Speaker 8>it's out of sight. And so I'm confident we're dealing

0:19:41.920 --> 0:19:45.080
<v Speaker 8>with the concerns of that community as well as the

0:19:45.080 --> 0:19:45.840
<v Speaker 8>broader goal.

0:19:46.000 --> 0:19:49.240
<v Speaker 2>What is a delta in going from Daniel is all

0:19:49.240 --> 0:19:52.320
<v Speaker 2>over me here she's she and Michelle CASKI have done

0:19:52.320 --> 0:19:54.960
<v Speaker 2>great work for Bloomberg and is Daniel Moran? What has

0:19:55.000 --> 0:19:58.280
<v Speaker 2>been the delta from fifteen dollars down to nine dollars?

0:19:58.320 --> 0:20:01.200
<v Speaker 4>How does that change the Jena Lieber World?

0:20:01.320 --> 0:20:03.960
<v Speaker 6>Good question. Listen, Governor Hope, only good one of the day,

0:20:04.280 --> 0:20:05.520
<v Speaker 6>stay with us. Yeah.

0:20:05.640 --> 0:20:10.119
<v Speaker 8>So so Governor Hokeel, after we were moving towards implementing

0:20:10.160 --> 0:20:12.440
<v Speaker 8>in June, decided that she wanted to take away the

0:20:12.440 --> 0:20:16.359
<v Speaker 8>sticker shock and so she, after a pause, knocked it down,

0:20:16.440 --> 0:20:19.320
<v Speaker 8>knocked the price down by forty percent, so instead of

0:20:19.359 --> 0:20:20.240
<v Speaker 8>fifteen bucks for.

0:20:20.640 --> 0:20:22.560
<v Speaker 4>Does she called you? Where did you learn about it?

0:20:22.600 --> 0:20:23.240
<v Speaker 4>She called?

0:20:23.480 --> 0:20:25.000
<v Speaker 6>She called, she called me.

0:20:25.400 --> 0:20:28.640
<v Speaker 8>It was shortly before she announced it, and it certainly

0:20:29.080 --> 0:20:31.119
<v Speaker 8>was a shock to the system for some of the

0:20:31.119 --> 0:20:32.800
<v Speaker 8>folks who have been working on this, but in the

0:20:32.920 --> 0:20:35.440
<v Speaker 8>end it has worked. What has done is it's message

0:20:35.480 --> 0:20:39.080
<v Speaker 8>to the public that we are looking at an easy implementation,

0:20:39.520 --> 0:20:42.600
<v Speaker 8>that she's worrying about affordability, but we're getting the benefits.

0:20:42.920 --> 0:20:46.040
<v Speaker 8>Tom that you said, what's how does it affect the MTA?

0:20:46.119 --> 0:20:46.919
<v Speaker 8>How does it affect me?

0:20:47.440 --> 0:20:47.840
<v Speaker 6>We will.

0:20:47.880 --> 0:20:50.320
<v Speaker 8>It will take us a little longer to raise the

0:20:50.640 --> 0:20:55.640
<v Speaker 8>statutorily required fifteen billion dollars, but we have enough work

0:20:55.680 --> 0:20:57.760
<v Speaker 8>going on that we can continue to make progress on

0:20:57.840 --> 0:21:00.600
<v Speaker 8>rebuilding the subway system. In the meantime, it's been a

0:21:00.640 --> 0:21:01.480
<v Speaker 8>net net positive.

0:21:01.840 --> 0:21:04.000
<v Speaker 5>We're going to be One of the intentions for congestion

0:21:04.040 --> 0:21:09.520
<v Speaker 5>pricing is to drive more of transit folks to the subways.

0:21:10.000 --> 0:21:11.159
<v Speaker 5>How about safety the subways?

0:21:11.160 --> 0:21:11.639
<v Speaker 6>Where are we there?

0:21:11.680 --> 0:21:13.640
<v Speaker 5>Because there's a you know, a concern is that you're

0:21:13.920 --> 0:21:17.240
<v Speaker 5>well well aware that post pandemic maybe not listen.

0:21:17.280 --> 0:21:20.840
<v Speaker 6>You know, the overall stats are positive.

0:21:20.840 --> 0:21:24.159
<v Speaker 8>We had last year we were actually twelve and a

0:21:24.200 --> 0:21:27.800
<v Speaker 8>half percent less crime than twenty nineteen, the last year

0:21:27.880 --> 0:21:30.080
<v Speaker 8>before COVID. But there's no question that some of these

0:21:30.160 --> 0:21:34.560
<v Speaker 8>high profile incidents, you know, terrible attacks, have gotten in

0:21:34.600 --> 0:21:37.720
<v Speaker 8>people's heads and made the whole system feel less safe,

0:21:37.960 --> 0:21:40.160
<v Speaker 8>and there's a little bit of disorder that's crept into

0:21:40.200 --> 0:21:42.840
<v Speaker 8>the public space since COVID. There's no question about it.

0:21:43.240 --> 0:21:45.880
<v Speaker 8>I say, the criminal justice system has to do its

0:21:45.960 --> 0:21:48.720
<v Speaker 8>job and make sure these people who do that kind

0:21:48.760 --> 0:21:51.080
<v Speaker 8>of stuff, most of them who have long rap sheets

0:21:51.280 --> 0:21:54.200
<v Speaker 8>are put away. There are very very few of these folks,

0:21:54.240 --> 0:21:56.720
<v Speaker 8>but they have an impact from people's sense of safety,

0:21:56.720 --> 0:21:58.800
<v Speaker 8>and we need to deal with them in a way

0:21:58.840 --> 0:21:59.879
<v Speaker 8>that protects the riders.

0:22:00.359 --> 0:22:03.360
<v Speaker 2>First time I went down the stairs on a Tokyo subway, Yeah,

0:22:03.480 --> 0:22:06.000
<v Speaker 2>there were the guard rails or the walls or whatever.

0:22:06.480 --> 0:22:08.840
<v Speaker 4>We put a man on the moon. This is New

0:22:08.920 --> 0:22:09.480
<v Speaker 4>York City.

0:22:09.720 --> 0:22:13.119
<v Speaker 2>You mentioned the shining light of La Guardia nineteen billion

0:22:13.160 --> 0:22:14.479
<v Speaker 2>on JFK as well.

0:22:14.840 --> 0:22:15.800
<v Speaker 4>Can't we put up.

0:22:15.720 --> 0:22:19.399
<v Speaker 2>Guard wheels guardrails quickly in our subways?

0:22:20.480 --> 0:22:23.840
<v Speaker 8>You're absolutely right. The quickly part is the one challenge.

0:22:24.080 --> 0:22:25.399
<v Speaker 8>I would say, we got well.

0:22:25.280 --> 0:22:27.480
<v Speaker 5>New York City quick like, We've put a million.

0:22:27.680 --> 0:22:30.040
<v Speaker 8>We put a billion dollars in our new capital program

0:22:30.080 --> 0:22:34.040
<v Speaker 8>since fair evasion and this whole phenomenon has definitely accelerated

0:22:34.040 --> 0:22:36.160
<v Speaker 8>post COVID. We put a billion dollars in our new

0:22:36.200 --> 0:22:38.760
<v Speaker 8>capital program for that. So we are going to start

0:22:38.840 --> 0:22:41.480
<v Speaker 8>to replace all these turnstiles which work when I was

0:22:41.520 --> 0:22:44.560
<v Speaker 8>a kid, but clearly aren't effective now for in the

0:22:44.600 --> 0:22:45.560
<v Speaker 8>era that we're living in.

0:22:45.760 --> 0:22:47.679
<v Speaker 6>We got to replace him. You're absolutely right, But are

0:22:47.760 --> 0:22:50.600
<v Speaker 6>we going to put in walls to protect people at

0:22:50.640 --> 0:22:52.200
<v Speaker 6>the edge of the subway?

0:22:52.400 --> 0:22:55.960
<v Speaker 2>Lisa Monteo and I are sitting at home with our offspring,

0:22:56.200 --> 0:22:57.760
<v Speaker 2>go and take the uber.

0:22:58.280 --> 0:22:59.879
<v Speaker 4>That's the reality. JOHNA.

0:23:00.080 --> 0:23:03.479
<v Speaker 8>Okay, so listen, there's we have started to put up

0:23:03.880 --> 0:23:07.760
<v Speaker 8>you know, barriers chop chop, which is really literally these

0:23:07.920 --> 0:23:12.280
<v Speaker 8>these little little half half height walls along the platforms,

0:23:12.280 --> 0:23:15.199
<v Speaker 8>and we're going to accelerate doing that. One complexity is

0:23:15.440 --> 0:23:18.040
<v Speaker 8>those super high tech barriers that you get in you know,

0:23:18.160 --> 0:23:21.920
<v Speaker 8>European train stations and the newer stuff literally are too

0:23:22.000 --> 0:23:24.280
<v Speaker 8>heavy for the platforms that our one hundred year old

0:23:24.280 --> 0:23:26.919
<v Speaker 8>system has, so we can't do that. But we're going

0:23:27.000 --> 0:23:30.360
<v Speaker 8>to start to accelerate these barriers so that anybody can

0:23:30.400 --> 0:23:33.320
<v Speaker 8>position themselves so they feel safe on a subway platform.

0:23:33.359 --> 0:23:34.800
<v Speaker 8>We don't want people to feel otherwise.

0:23:35.040 --> 0:23:38.399
<v Speaker 5>So I know, when conceiving of this plan here, there

0:23:38.400 --> 0:23:40.600
<v Speaker 5>are a lot of exceptions for different people who would

0:23:40.640 --> 0:23:45.280
<v Speaker 5>be exempt from this congestion pricing. For example, the Hampton

0:23:45.400 --> 0:23:50.000
<v Speaker 5>Jitney is exempt, yet personal firefighters personal vehicles to get

0:23:50.040 --> 0:23:53.160
<v Speaker 5>them into the firehouses are not. That seems kind of odd,

0:23:53.320 --> 0:23:54.920
<v Speaker 5>but I noticed trade offs everywhere.

0:23:55.040 --> 0:23:57.439
<v Speaker 8>Yeah, I mean the point is, well, there was across

0:23:57.440 --> 0:23:59.480
<v Speaker 8>the word. This was done by a panel that was studied.

0:23:59.720 --> 0:24:02.280
<v Speaker 8>There are one hundred and thirty separate requests for exemptions,

0:24:02.760 --> 0:24:04.560
<v Speaker 8>and what they said is what we're going to exempt

0:24:04.640 --> 0:24:07.600
<v Speaker 8>is low We're going to exempt disabled people. We're going

0:24:07.640 --> 0:24:10.439
<v Speaker 8>to give a huge discount to low income people, and

0:24:10.480 --> 0:24:12.560
<v Speaker 8>we're going to make sure that buses which are a

0:24:12.560 --> 0:24:16.840
<v Speaker 8>form of mass transit, whether they're operated by the MTR otherwise,

0:24:16.960 --> 0:24:20.320
<v Speaker 8>are exempt. That's where you get something like the Hampton Gitney. Now,

0:24:20.200 --> 0:24:23.600
<v Speaker 8>in fairness, Hamptonjitney has fifty people on it, and if

0:24:23.600 --> 0:24:25.720
<v Speaker 8>those people drove, it would take up a lot of rooms.

0:24:25.760 --> 0:24:29.960
<v Speaker 8>So it makes sense. We don't talk about personal vehicles.

0:24:30.920 --> 0:24:34.040
<v Speaker 8>We're not going to choose who is, you know, special.

0:24:35.400 --> 0:24:38.720
<v Speaker 8>The real goal here is to have people make rational choices.

0:24:38.760 --> 0:24:40.600
<v Speaker 8>If they want to get their employer to pay them

0:24:40.640 --> 0:24:43.879
<v Speaker 8>to drive in, that's fine, but that's not for the

0:24:43.920 --> 0:24:45.040
<v Speaker 8>government to decide.

0:24:45.359 --> 0:24:47.280
<v Speaker 6>The broad decision was what it was.

0:24:47.320 --> 0:24:50.240
<v Speaker 8>But let's you know, today is really a historic day,

0:24:50.280 --> 0:24:51.959
<v Speaker 8>and we ought to be focused on the fact that

0:24:52.040 --> 0:24:54.879
<v Speaker 8>New York is back to leading, that we're doing what

0:24:55.000 --> 0:24:58.159
<v Speaker 8>Meyer Blumberg did in the old days, which is New

0:24:58.200 --> 0:25:00.920
<v Speaker 8>York's a problem solved. We're in the problem solving business.

0:25:01.119 --> 0:25:05.080
<v Speaker 8>We're dealing with our problems and like government seems paralyzed

0:25:05.080 --> 0:25:07.159
<v Speaker 8>a lot of the United States. We are dealing with

0:25:07.200 --> 0:25:08.840
<v Speaker 8>the realities and what it takes to be a twenty

0:25:08.840 --> 0:25:09.640
<v Speaker 8>first century city.

0:25:09.760 --> 0:25:13.119
<v Speaker 2>Daniel Moran is writing this up and she's like, Okay,

0:25:13.200 --> 0:25:14.320
<v Speaker 2>we're leading the way.

0:25:15.040 --> 0:25:16.720
<v Speaker 4>What's the next city to do this?

0:25:17.000 --> 0:25:19.320
<v Speaker 6>You know, nation Why that's a good question. You know

0:25:19.359 --> 0:25:20.600
<v Speaker 6>they all doors.

0:25:20.280 --> 0:25:23.160
<v Speaker 2>Locked over there, Danielle says, you can't get out unless

0:25:23.200 --> 0:25:23.960
<v Speaker 2>you answer the quest.

0:25:24.040 --> 0:25:26.160
<v Speaker 8>Well, they all call me and they say and they

0:25:26.280 --> 0:25:28.399
<v Speaker 8>and they ask for information because they're all taking a

0:25:28.400 --> 0:25:32.040
<v Speaker 8>look at Boston. It could be because the key is

0:25:32.400 --> 0:25:35.720
<v Speaker 8>we are so lucky, because cities all over the United

0:25:35.760 --> 0:25:38.720
<v Speaker 8>States have traffic problems like crazy, and it's crushing their

0:25:38.760 --> 0:25:42.199
<v Speaker 8>economy and their development pattern and their appeal to employers.

0:25:42.640 --> 0:25:44.280
<v Speaker 6>But only New York.

0:25:44.160 --> 0:25:47.360
<v Speaker 8>Has this out of sight mass transit system. Maybe Boston,

0:25:47.440 --> 0:25:50.600
<v Speaker 8>maybe Washington, maybe Chicago, because they have the alternative.

0:25:50.880 --> 0:25:54.159
<v Speaker 2>I'm cutting you some slack here, and folks, let me

0:25:54.240 --> 0:25:55.919
<v Speaker 2>tell you, I'm not even part of this debate.

0:25:56.160 --> 0:25:59.600
<v Speaker 4>I was below fifty seventh Street once last year. Yeah,

0:26:00.400 --> 0:26:02.800
<v Speaker 4>I have no life. What I went to Brooklyn a

0:26:02.840 --> 0:26:03.560
<v Speaker 4>couple of years ago.

0:26:03.600 --> 0:26:04.320
<v Speaker 5>It's beautiful.

0:26:04.600 --> 0:26:07.000
<v Speaker 2>Come on over, I thought it was Brooklyn, Massachusetts, and

0:26:07.000 --> 0:26:08.480
<v Speaker 2>they said, no, it's Brooklyn, New York.

0:26:08.800 --> 0:26:09.080
<v Speaker 5>General.

0:26:09.200 --> 0:26:11.080
<v Speaker 4>Let me let me cut to the chase here in

0:26:11.119 --> 0:26:12.000
<v Speaker 4>the heart of the matter.

0:26:12.200 --> 0:26:17.040
<v Speaker 2>Somebody once explained to me that New York is not London.

0:26:17.240 --> 0:26:21.159
<v Speaker 2>We're not la You've got X number of bridges, x

0:26:21.280 --> 0:26:25.639
<v Speaker 2>number of tunnels. It's it's a challenge here like no

0:26:25.800 --> 0:26:29.119
<v Speaker 2>other challenge. Where's the bottleneck.

0:26:28.600 --> 0:26:30.840
<v Speaker 4>Going to be? With the congestion text?

0:26:31.160 --> 0:26:33.480
<v Speaker 8>You know, I think that the great thing is if

0:26:33.520 --> 0:26:37.240
<v Speaker 8>you reduce traffic in general, there's less chance of bottlenecks

0:26:37.240 --> 0:26:40.800
<v Speaker 8>across the board. That's the benefit that even the people

0:26:40.840 --> 0:26:44.240
<v Speaker 8>who have to drive or choose to drive, are going

0:26:44.240 --> 0:26:46.119
<v Speaker 8>to get a better experience so their time is not

0:26:46.200 --> 0:26:47.520
<v Speaker 8>wasted stuck in traffic.

0:26:47.800 --> 0:26:48.480
<v Speaker 6>That's the goal.

0:26:48.720 --> 0:26:50.639
<v Speaker 8>I don't know exactly where the bottle neck's going to be,

0:26:50.920 --> 0:26:53.600
<v Speaker 8>but the goal is to have fewer of them.

0:26:53.840 --> 0:26:56.639
<v Speaker 6>So we're Wall Street, we're global. Wall Street.

0:26:56.880 --> 0:26:59.080
<v Speaker 5>Talk to us about this bond that's going to be

0:26:59.400 --> 0:27:01.960
<v Speaker 5>issued a what is it? And when will you guys

0:27:02.040 --> 0:27:05.479
<v Speaker 5>issue this some bonds to raise capital to then invest

0:27:05.520 --> 0:27:06.800
<v Speaker 5>back into this good question.

0:27:06.920 --> 0:27:11.640
<v Speaker 8>So ourf CFO at the MTA, Kevin Willans ran Munifinance

0:27:11.720 --> 0:27:12.880
<v Speaker 8>at Goldman for many years.

0:27:14.320 --> 0:27:14.720
<v Speaker 6>Kevin Is.

0:27:15.880 --> 0:27:18.879
<v Speaker 8>When the governor dropped the toll by forty percent, he

0:27:18.960 --> 0:27:22.880
<v Speaker 8>took a hard look when that started to unfold at

0:27:22.920 --> 0:27:26.040
<v Speaker 8>whether we could still raise the money that the statute

0:27:26.080 --> 0:27:28.800
<v Speaker 8>that the law requires fifteen billion dollars to be raised

0:27:28.840 --> 0:27:31.600
<v Speaker 8>from the revenues. And the answer is yes, we can

0:27:31.640 --> 0:27:34.000
<v Speaker 8>do it. It will take slightly different structure, it will

0:27:34.040 --> 0:27:36.399
<v Speaker 8>take a different length of time, but we're going to

0:27:36.440 --> 0:27:40.520
<v Speaker 8>be able to do it, probably in multiple bond offerings

0:27:40.600 --> 0:27:42.920
<v Speaker 8>rather than a single one. Originally they planned a single

0:27:42.960 --> 0:27:45.800
<v Speaker 8>bond offering fifteen billion. Now it's going to probably take

0:27:45.840 --> 0:27:47.800
<v Speaker 8>a couple of years and a couple different offerings.

0:27:47.880 --> 0:27:50.160
<v Speaker 2>You've been more than jens of your time. I want

0:27:50.200 --> 0:27:53.119
<v Speaker 2>to talk about the reality, and I'm speaking for the

0:27:53.280 --> 0:27:56.760
<v Speaker 2>headquarters here the investment mister Bloomberg has made. I should

0:27:56.800 --> 0:28:00.159
<v Speaker 2>mention folks Mike Bloomberg the former mayor of New York

0:28:00.200 --> 0:28:03.240
<v Speaker 2>and he is, of course the owner of Bloomberg Radio,

0:28:03.280 --> 0:28:06.880
<v Speaker 2>Bloomberg Television, and I think does he sign your paycheck?

0:28:06.960 --> 0:28:09.800
<v Speaker 2>I think he says as well, Yeah, it's just simple.

0:28:10.000 --> 0:28:13.480
<v Speaker 2>We go up Third Avenue and it's ruined. I got

0:28:13.480 --> 0:28:16.520
<v Speaker 2>a bike lane, I got bus lanes. I got some

0:28:16.600 --> 0:28:19.880
<v Speaker 2>kind of parking in the middle. Basically, we've taken six

0:28:20.000 --> 0:28:23.760
<v Speaker 2>lane streets five lane streets down to two and you're

0:28:23.840 --> 0:28:26.399
<v Speaker 2>living it as well. I got an Amazon truck on

0:28:26.400 --> 0:28:29.120
<v Speaker 2>the right and a FedEx truck on the left. Now

0:28:29.160 --> 0:28:31.520
<v Speaker 2>everybody's going up Park Avenue because they can't get up

0:28:31.560 --> 0:28:32.240
<v Speaker 2>Third Avenue.

0:28:32.400 --> 0:28:34.640
<v Speaker 4>That's just my little soap opera.

0:28:34.840 --> 0:28:38.480
<v Speaker 2>How do we get rid of the parking issue? Peter

0:28:38.560 --> 0:28:41.160
<v Speaker 2>Coyt The New York Times has been brilliant on this.

0:28:41.640 --> 0:28:45.680
<v Speaker 2>How do we change parking so Third Avenue is in

0:28:45.720 --> 0:28:46.360
<v Speaker 2>a driveway?

0:28:46.520 --> 0:28:49.000
<v Speaker 8>Well, I mean, listen, we got these are issues that

0:28:49.040 --> 0:28:50.520
<v Speaker 8>the City of New York is going to have to

0:28:50.560 --> 0:28:53.560
<v Speaker 8>wrestle with. You talked about how good your experience was

0:28:53.600 --> 0:28:56.920
<v Speaker 8>in Paris, and Paris has done a lot to make

0:28:56.960 --> 0:29:00.320
<v Speaker 8>it easier for bikes and pedestrians and to take away

0:29:00.320 --> 0:29:02.560
<v Speaker 8>a little room for cars. That is part of the

0:29:02.600 --> 0:29:05.840
<v Speaker 8>strategy that's been effectively followed. But I'll say this when

0:29:05.880 --> 0:29:08.880
<v Speaker 8>we thankfully the city is getting rid of dining sheds,

0:29:09.200 --> 0:29:13.760
<v Speaker 8>which took up a Yeah, getting rid of dining sheds.

0:29:13.880 --> 0:29:16.440
<v Speaker 8>You know, we love our restaurants. They're rocking and soccing

0:29:16.560 --> 0:29:18.960
<v Speaker 8>after COVID, But we don't need to give out free

0:29:18.960 --> 0:29:21.520
<v Speaker 8>real estate in the middle of the street uh anymore

0:29:21.800 --> 0:29:26.680
<v Speaker 8>because people can't go indoors. So so that is one factor.

0:29:26.960 --> 0:29:30.040
<v Speaker 8>But I'm for more more uh by. You know, the

0:29:30.040 --> 0:29:32.400
<v Speaker 8>bike lanes and certainly the bus lanes. If we can

0:29:32.440 --> 0:29:35.480
<v Speaker 8>put fifty people on a bus who would otherwise be

0:29:35.560 --> 0:29:38.960
<v Speaker 8>driving fifty individual cars, it's a net positive for the city,

0:29:39.000 --> 0:29:41.680
<v Speaker 8>even for the drivers. So we got to keep focused

0:29:41.720 --> 0:29:44.040
<v Speaker 8>on on a street scape that works. But you know,

0:29:44.520 --> 0:29:47.120
<v Speaker 8>it's still it's still it's still a work in progress. Tom,

0:29:47.160 --> 0:29:49.520
<v Speaker 8>We're still learning and coming out of COVID with the

0:29:49.560 --> 0:29:51.959
<v Speaker 8>dining sheds, I think we're we got to make some progress.

0:29:52.000 --> 0:29:54.920
<v Speaker 4>Sweeting demands. We got breaking news here. Can you solve

0:29:54.960 --> 0:29:56.360
<v Speaker 4>the New York Giants and the Jets?

0:29:56.480 --> 0:29:57.960
<v Speaker 5>Can you like a Giant?

0:29:58.080 --> 0:30:01.480
<v Speaker 8>I'm a Giants fan and I stopped paying attention about

0:30:01.800 --> 0:30:02.440
<v Speaker 8>two months ago.

0:30:02.520 --> 0:30:04.800
<v Speaker 5>Well, there's some breaking news here. They decided this morning

0:30:04.800 --> 0:30:07.080
<v Speaker 5>they're going to keep the GM, keep the coach, Joe

0:30:07.080 --> 0:30:10.240
<v Speaker 5>Shane's GM, Brian Dabolos coach. They're going to be retained.

0:30:10.480 --> 0:30:13.760
<v Speaker 4>Genna, thank you so much. Jenna leaves the MT.

0:30:18.880 --> 0:30:22.800
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:30:22.840 --> 0:30:26.120
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:30:26.240 --> 0:30:29.080
<v Speaker 1>with the Bloomberg Business app. You can also watch us

0:30:29.120 --> 0:30:32.480
<v Speaker 1>live every weekday on YouTube and always on the Bloomberg

0:30:32.560 --> 0:30:33.680
<v Speaker 1>terminal you day.

0:30:33.760 --> 0:30:37.040
<v Speaker 2>Look at the front page is Lisa mateo moment, Lisa,

0:30:37.080 --> 0:30:37.600
<v Speaker 2>what do you have?

0:30:37.840 --> 0:30:38.120
<v Speaker 5>Okay?

0:30:38.120 --> 0:30:40.800
<v Speaker 9>This is a new Wall Street Journal analysis of test scores.

0:30:41.120 --> 0:30:42.000
<v Speaker 5>This is really interesting.

0:30:42.000 --> 0:30:45.880
<v Speaker 9>It shows girls have lost ground in reading, math, and science,

0:30:45.960 --> 0:30:48.440
<v Speaker 9>and people are really concerned about it. This is since

0:30:48.480 --> 0:30:51.400
<v Speaker 9>twenty nineteen, test scores have dropped sharply. They're calling that

0:30:51.480 --> 0:30:54.320
<v Speaker 9>the pandemic learning loss. Boys' scores have also dropped, but

0:30:54.360 --> 0:30:57.960
<v Speaker 9>the girls decline is worse. So the reason why they're

0:30:57.960 --> 0:31:01.200
<v Speaker 9>saying it is because arise in behavior patterns during the pandemic.

0:31:01.480 --> 0:31:03.760
<v Speaker 9>It forced teachers to pay more attention to the boys

0:31:03.960 --> 0:31:07.040
<v Speaker 9>because they tended to act out more in class. And

0:31:07.120 --> 0:31:09.200
<v Speaker 9>then during and after the pandemic, a lot of the

0:31:09.240 --> 0:31:12.640
<v Speaker 9>girls took on those caregiving household responsibilities, so it took

0:31:12.680 --> 0:31:14.600
<v Speaker 9>their focus away from school.

0:31:14.920 --> 0:31:17.320
<v Speaker 5>So I just thought it was a just I mean,

0:31:17.840 --> 0:31:20.320
<v Speaker 5>it's gonna be years, yeah, years out. That was oh

0:31:20.400 --> 0:31:23.040
<v Speaker 5>sure that we learned what the real impact is going

0:31:23.040 --> 0:31:23.280
<v Speaker 5>to be.

0:31:23.360 --> 0:31:26.840
<v Speaker 2>I got this wrong, and I learned about this from

0:31:26.840 --> 0:31:32.920
<v Speaker 2>Bloomberg employees, the anecdotal evidence of our twenty one thousand employees.

0:31:33.160 --> 0:31:39.160
<v Speaker 2>I learned the pandemic and our children's education just changed that.

0:31:39.920 --> 0:31:40.800
<v Speaker 4>What else do you I.

0:31:40.720 --> 0:31:41.320
<v Speaker 3>Totally see it.

0:31:41.840 --> 0:31:45.440
<v Speaker 9>The gambling industry is using a lot of artificial intelligence

0:31:45.760 --> 0:31:48.760
<v Speaker 9>to get more money from Americans. So some of the

0:31:48.800 --> 0:31:52.520
<v Speaker 9>ways they're doing it startups their profiling gamblers, so they're

0:31:52.560 --> 0:31:56.400
<v Speaker 9>feeding them content games personalized to what they like, convincing

0:31:56.400 --> 0:31:59.760
<v Speaker 9>them to stay longer, make bigger bets. They're using these

0:31:59.800 --> 0:32:03.000
<v Speaker 9>large language models so generate a lot of things autoated summaries.

0:32:03.720 --> 0:32:07.040
<v Speaker 9>And then even you get to the physical casinos using AI,

0:32:07.200 --> 0:32:10.320
<v Speaker 9>because they're using machine learning to optimize where they place

0:32:10.360 --> 0:32:12.760
<v Speaker 9>the slot machines, because even that kind of matters.

0:32:12.840 --> 0:32:14.720
<v Speaker 5>It does I mean, you're walking in and out of

0:32:14.760 --> 0:32:18.200
<v Speaker 5>the casino floor slot machines for every ingress and egress.

0:32:18.240 --> 0:32:20.959
<v Speaker 5>I learned that from doing the casino investing.

0:32:21.080 --> 0:32:26.040
<v Speaker 2>Do you think AI will do to this surgeon NFL football,

0:32:26.160 --> 0:32:28.720
<v Speaker 2>which is a surgeon betting? Yeah, I mean they got

0:32:28.720 --> 0:32:31.960
<v Speaker 2>to be used in it to learn every single.

0:32:31.680 --> 0:32:34.640
<v Speaker 4>Thing you need to do to win money on the

0:32:34.680 --> 0:32:36.960
<v Speaker 4>patriots because you knew they were going to beat the bills.

0:32:37.000 --> 0:32:37.240
<v Speaker 6>Yep.

0:32:37.320 --> 0:32:42.160
<v Speaker 5>And one tangible practical implementation of AI is advertising because

0:32:42.200 --> 0:32:45.280
<v Speaker 5>they can figure out better target who you are and

0:32:45.280 --> 0:32:46.760
<v Speaker 5>what you want and what adds will work for you.

0:32:46.920 --> 0:32:49.080
<v Speaker 5>That's happening today from Google and Facebook.

0:32:49.160 --> 0:32:51.239
<v Speaker 2>Lisa Manitaeo, thank you so much. Good to have that

0:32:52.360 --> 0:32:55.400
<v Speaker 2>for us here the newspapers with Lisa Wantay, and we'll

0:32:55.440 --> 0:32:58.120
<v Speaker 2>do much more of this into the week and into

0:32:58.480 --> 0:33:00.600
<v Speaker 2>today as.

0:33:00.560 --> 0:33:05.400
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:33:05.520 --> 0:33:09.800
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:33:09.920 --> 0:33:13.400
<v Speaker 1>seven to ten am Eastern on Bloomberg dot com, the

0:33:13.480 --> 0:33:17.520
<v Speaker 1>iHeartRadio app, tune In, and the Bloomberg Business app. You

0:33:17.560 --> 0:33:20.920
<v Speaker 1>can also watch us live every weekday on YouTube and

0:33:21.120 --> 0:33:22.840
<v Speaker 1>always on the Bloomberg terminal.