WEBVTT - Fed Outlook and a Potential Harris-Trump Debate

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is the Bloomberg Surveillance Podcast. I'm Tom Keene along

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<v Speaker 2>with Paul Sweeney. Join us each day for insight from

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<v Speaker 2>or anywhere else you listen and always I'm Bloomberg Radio,

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<v Speaker 2>the Bloomberg Terminal, and the Bloomberg Business App. I'm not

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<v Speaker 2>so much in the camp of a certitude of a

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<v Speaker 2>September a rate Let's get wisdom on that with Nationwide

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<v Speaker 2>with a wonderful Ohio perspective. Kathleen bus Johnson joins US

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<v Speaker 2>now Chief Economists Nationwide because she's on our side. Kathy,

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<v Speaker 2>I look at where we are right now, and more

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<v Speaker 2>than anything, I would say there's a certitude about a

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<v Speaker 2>September rate cut. Why do we feel that way?

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<v Speaker 1>God, Good morning, Tom. Well the inflation data have you know, namely,

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<v Speaker 1>really cooled off significantly. It makes it seem as if

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<v Speaker 1>that the flare up we saw on the first quarter

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<v Speaker 1>was anomalous and that really inflation is back on a

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<v Speaker 1>good trend, you know, and eventually get back to two

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<v Speaker 1>percent case. And we've also seen some slowing or moderation

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<v Speaker 1>in employment and other key economic readings that you know,

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<v Speaker 1>as a FED was there says they're more balanced right

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<v Speaker 1>between the risks with inflation and employment, so it kind

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<v Speaker 1>of gives them the green light and the reasons to

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<v Speaker 1>start to cut rates.

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<v Speaker 2>Where are you on jab as claims when you say

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<v Speaker 2>that the labor market is breaking? I got a four

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<v Speaker 2>week moving average of the weekly data of two hundred

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<v Speaker 2>and thirty five thousand. It's buttressed right up against a

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<v Speaker 2>peak of twenty twenty three of about two hundred and

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<v Speaker 2>fifty one thousand. What's the statistic in your head where

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<v Speaker 2>jobless claim signals?

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<v Speaker 1>Let's go, yeah, so that you know, we've seen some

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<v Speaker 1>upward movement and jobless claims, but that's still quite low.

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<v Speaker 1>And I'm not suggesting or worry that we're about to

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<v Speaker 1>see a big roll over in the labor market. It's

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<v Speaker 1>not as if we're going to start seeing negative payroll

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<v Speaker 1>prints or the unemployment rate jumping sharply higher. But as

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<v Speaker 1>we creep higher, that's sick news.

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<v Speaker 3>Some slowing.

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<v Speaker 1>And you know, one statistic that I would say on payrolls,

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<v Speaker 1>besides all the other ones that will watch, is in

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<v Speaker 1>the household servey those who've been unemployed twenty six weeks

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<v Speaker 1>or longer. Interesting thing to see that pick up.

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<v Speaker 2>Gen know, that used to be the first statistic I

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<v Speaker 2>looked at back when we were eight nine, ten percent unemployment.

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<v Speaker 2>If that's If that's the case, Kathy, let me frame

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<v Speaker 2>this out as a dual mandate. The laureate Krugman over

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<v Speaker 2>at the New York Times has a tweet out yesterday

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<v Speaker 2>on this disinflation, and he says, now, now, now is

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<v Speaker 2>what he wants your own pole to do. I've got

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<v Speaker 2>a market economist plural maybe led by over at Steefel

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<v Speaker 2>the Lindsay Piagsa saying okay, maybe, but we need jobs

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<v Speaker 2>to finally collapse. I don't see jobs collapsing. And I

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<v Speaker 2>believe you just said edbing is more like what the

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<v Speaker 2>labor economy will do.

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<v Speaker 1>Yeah, that's right. I have sympathy for those who said

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<v Speaker 1>the face should consider cutting rates, you know tomorrow right,

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<v Speaker 1>getting the announcement, but they're not. They're not going to.

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<v Speaker 1>They haven't signaled that, and I do think they want

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<v Speaker 1>to see more data, particularly to be really convinced that

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<v Speaker 1>the Q one inflation data ship they're corobinists. But yeah,

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<v Speaker 1>back to the labor market moderation. Now, what we don't

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<v Speaker 1>know is this moderation a harbinger of something you know,

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<v Speaker 1>more dramatic as we go into twenty twenty five. We

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<v Speaker 1>just don't know yet as if had been too late

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<v Speaker 1>to cut rates starting in to cut rates again, we

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<v Speaker 1>don't know. But right now, I would say, in the

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<v Speaker 1>New York time, there's no signs of labor markets collapsing.

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<v Speaker 4>Hey, Kathy, give me an idea. Just how restrictive are

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<v Speaker 4>we at this point?

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<v Speaker 1>Well, we're restricted when you look at certain pockets of

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<v Speaker 1>the economy. Right, So, housing we know has been paralyzed

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<v Speaker 1>for you know, for months, right well over a year.

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<v Speaker 1>People are locked into low mortgages, aren't even putting their

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<v Speaker 1>homes up for sale or moving. Housing starts are still

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<v Speaker 1>really low. And then we know the lower income households

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<v Speaker 1>are really facing headwinds that they're increasingly maxed out on

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<v Speaker 1>their credit card. The New York Fed data shows us

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<v Speaker 1>a fully fed data shows us that they're delinquent. And

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<v Speaker 1>even though inflation is cooled, as we all know, price

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<v Speaker 1>levels are still high relative to pre pandemic, So they're

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<v Speaker 1>feeling the pressure there. I think that and the pandemic

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<v Speaker 1>savings are topped out, So we have to remember that

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<v Speaker 1>the tail was that god ess as resilient economy are

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<v Speaker 1>really fading and the headwinds are still there and maybe

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<v Speaker 1>even get a little stronger.

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<v Speaker 4>And that other part of the dual mandate with employment.

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<v Speaker 4>When employment goes, what does it take with it consumer spending? Obviously, right, Yeah.

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<v Speaker 1>That's rights. As employment slows, aggregate income declines, and then

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<v Speaker 1>that starts to restrain consumer spending. And the consumers don't

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<v Speaker 1>have that, you know, they can't really, they don't have

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<v Speaker 1>a lot of savings to rely on. If income starts

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<v Speaker 1>as slow, you've got an unemployment a savings rate that's

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<v Speaker 1>three point four mark that against pre pandemic savings rate

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<v Speaker 1>which was seven point seven. And we also know again

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<v Speaker 1>that you're starting to see delinquencies when the unemployment rate's

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<v Speaker 1>only four point one, delinquencies on credit card and loan payments.

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<v Speaker 1>What will that look like if we do start to

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<v Speaker 1>see some deeper cracks in the labor market.

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<v Speaker 2>Kathy, Thank you so much, Kathleen in Wes johnsick the nationwide.

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<v Speaker 2>You get us started towards a FED day.

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<v Speaker 3>Joining us.

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<v Speaker 2>Now he's been a huge value to us. Terry Haynes

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<v Speaker 2>at PENGEEA Policy here on the next step forward, I

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<v Speaker 2>get a plan of exhilarance, exuberants, Terry Haynes from Harris.

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<v Speaker 2>What's the plan from the Trump camp?

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<v Speaker 5>The plan from the Trump campaign Tom is basically to

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<v Speaker 5>try to define Harris before she can define herself effectively.

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<v Speaker 5>They see a window of about three weeks before the

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<v Speaker 5>convention where they can present Harris not only kind of

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<v Speaker 5>the word salad that everybody knows about, but also defining

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<v Speaker 5>I forget what Trump's exact words are, but you know

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<v Speaker 5>it's extreme, most liberal ever, you know. So on and

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<v Speaker 5>so forth, in an attempt, frankly, to blunt momentum and

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<v Speaker 5>blunt the potential ceiling that she has, which is, you know,

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<v Speaker 5>quite substantial.

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<v Speaker 2>I look at this and just as a vignette, and

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<v Speaker 2>I have not seen the video, folks, Neil Cavudo over

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<v Speaker 2>at Fox last night went after the senator from Louisiana.

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<v Speaker 2>Mister Kennedy on the verbiage that seems to be used

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<v Speaker 2>by the Trump campaign and Trump supporters against the Vice president.

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<v Speaker 2>Is everybody on the same page within conservative America? Or

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<v Speaker 2>do you see the divides Terry even greater as you've

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<v Speaker 2>laid out for the last two years? Oh?

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<v Speaker 5>I see the divides in terms of the message. The

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<v Speaker 5>message is all over the place right now, and and

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<v Speaker 5>there isn't a clear signal from the Trump side about

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<v Speaker 5>what they you know, what they prefer. So therefore, you know,

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<v Speaker 5>you're getting very scattershot kind of kind of words. And

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<v Speaker 5>you know, by comparison, the Harris folks have been have

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<v Speaker 5>been very disciplined on that.

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<v Speaker 2>Terry John Tucker here the question, are you going to

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<v Speaker 2>ask him about property taxes?

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<v Speaker 4>Oh? Yeah, it's saltcoming in the hunt you or Vice President?

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<v Speaker 4>I'm hearing now the name of the Minnesota Governor Tim Waltz.

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<v Speaker 4>Who is he and does he counterbalance the idea of

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<v Speaker 4>the liberal San Francisco Democrat?

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<v Speaker 5>Governor Wall seems to be beloved of progressives, and for

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<v Speaker 5>that reason alone, I think I discount his chances.

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<v Speaker 2>You know.

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<v Speaker 5>The you know, what Harris needs is is balance on

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<v Speaker 5>the ticket. She needs it both geographically. She needs it

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<v Speaker 5>in terms of swing states, and she needs it in

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<v Speaker 5>terms of you know, the centrism, and I think Walts

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<v Speaker 5>doesn't really fill much.

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<v Speaker 2>Of those buckets.

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<v Speaker 5>So I think that he's less likely than somebody like

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<v Speaker 5>like Shapiro for example, like Whitmer.

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<v Speaker 3>Maybe.

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<v Speaker 4>Okay, so as the favorite son of Pittsburgh, Terry, you're

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<v Speaker 4>going for Pennsylvania's governor with his nineteen electoral college votes.

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<v Speaker 5>Well, now, favorite sonism doesn't havehing to do with it, really, John,

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<v Speaker 5>the it's much more that.

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<v Speaker 2>You know.

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<v Speaker 5>I think last time I saw you all I called

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<v Speaker 5>this the captain obvious analysis, and that is that he

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<v Speaker 5>fills the biggest electoral college need, and he also checks

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<v Speaker 5>all of those other boxes as well. It's interesting to

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<v Speaker 5>me that there's been a somewhat of a backlash within

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<v Speaker 5>Democratic circles about his unabashed support for Israel. You know,

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<v Speaker 5>I think that's plus for him. Frankly, that's ticket back Terry.

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<v Speaker 2>John Tucker has a one item candidate voter. Rather, all

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<v Speaker 2>he cares about is property texts in New Jersey and

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<v Speaker 2>a repeal of the assault. Are there a lot of

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<v Speaker 2>John Tucker's out there and issues when you look at

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<v Speaker 2>the electorate of America. How much of us has one item?

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<v Speaker 2>This is the way we want to be. Are we

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<v Speaker 2>that focused? Are we more sophisticated?

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<v Speaker 5>Ah, We're more scattershot. I think there's I'd say most

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<v Speaker 5>voters care about lots of different issues. And you see

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<v Speaker 5>you see that, you know, in the usual surveys that happen,

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<v Speaker 5>there aren't that many to think only one thing is important.

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<v Speaker 5>I will say that I've been hearing uh, you know,

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<v Speaker 5>hugely from New York New Jersey area folks for a

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<v Speaker 5>decade now about salt and whether it might come back,

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<v Speaker 5>and so that seems to be a myopic focus of

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<v Speaker 5>your particular area.

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<v Speaker 2>It seems to be very myopic, particularly to my right

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<v Speaker 2>here at Bloomberg Studio, Terry. Let's go then to the border,

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<v Speaker 2>and does a gentleman from Arizona have a strength for

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<v Speaker 2>Vice President Harris because he's in Tucson, some hundred miles

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<v Speaker 2>from the border.

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<v Speaker 5>I think it's less I think it's less likely that

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<v Speaker 5>Senator Kelly gets it because of the because of the

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<v Speaker 5>UH and UH, and also less likely because of Arizona.

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<v Speaker 5>If you look at the swing States, Arizona seems a

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<v Speaker 5>little bit more out of hand than uh and and

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<v Speaker 5>less gettable, I would say than some of the others,

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<v Speaker 5>although I think it very much in play. But comparatively speaking,

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<v Speaker 5>the Harris people seem to be emphasizing what they call

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<v Speaker 5>the blue Wall of Michigan, Wisconsin, and Pennsylvania. That seems

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<v Speaker 5>to be where their focus is. And you know, although

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<v Speaker 5>Senator Kelly I think would be a fine candidate.

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<v Speaker 4>When do I get the polls that are really going

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<v Speaker 4>to tell me about how this new lineup is faring?

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<v Speaker 5>I think not until after Labor Day, John, And the

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<v Speaker 5>reason why is that you know what you see here

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<v Speaker 5>in something of hammer for a while. But you know,

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<v Speaker 5>registered voter poles, I think, don't tell you very much.

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<v Speaker 5>And that's pretty much all you've got right now. I mean,

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<v Speaker 5>I've seen likely voter polls occasionally, but you know, registered

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<v Speaker 5>voter poles are like, you know, I'm thinking about maybe

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<v Speaker 5>going to see that movie over the weekend. As opposed

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<v Speaker 5>to the people who are actually going to go see

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<v Speaker 5>the movie, it is less of less interest to you know,

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<v Speaker 5>theater owners and movie studios who might see as opposed

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<v Speaker 5>to who's likely to see. So I think it gets

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<v Speaker 5>the stilled down starting after Labor Day before then not

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<v Speaker 5>really running those poles.

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<v Speaker 2>Just quickly here, Terry Haines, is as simple as this

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<v Speaker 2>old style. I'll use Reagan, but I could use any

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<v Speaker 2>other candidate as well. You entrenched the base through August,

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<v Speaker 2>get into September, and as a miraculous amendment the second

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<v Speaker 2>week of October where you move to the middle. Are

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<v Speaker 2>we that old school?

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<v Speaker 5>Well yeah, I mean that that both of these campaigns

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<v Speaker 5>are a start from the premise that their bases are

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<v Speaker 5>not secure, which is interesting because they're always talked about

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<v Speaker 5>as if they are, but they're not. They're constantly doing

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<v Speaker 5>things to try to to lock down their base. But

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<v Speaker 5>then they you know, they kind of move to the middle,

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<v Speaker 5>and you'll see Harris start to move to the middle

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<v Speaker 5>with the vice presidential pick. I think Trump, in contrast,

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<v Speaker 5>I think has given up his chance to bridge by

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<v Speaker 5>picking Vance and I said so an hour after we

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<v Speaker 5>got picked. You know, he doubled down on I think

0:12:53.280 --> 0:12:55.480
<v Speaker 5>more small ball, and it's going to come back to

0:12:55.480 --> 0:12:55.920
<v Speaker 5>bite him.

0:12:56.120 --> 0:12:58.840
<v Speaker 2>Terry Haynes, thank you so much for Pangaea. An update

0:12:58.840 --> 0:13:03.360
<v Speaker 2>there and really careful advice. I think to maintain the

0:13:03.440 --> 0:13:11.000
<v Speaker 2>certitude until we get into September. In October, ed Ludlow.

0:13:11.400 --> 0:13:14.720
<v Speaker 2>In the last two three four months, he's done a

0:13:14.840 --> 0:13:21.080
<v Speaker 2>national value add But you bought a Tesla, right, Retto didn't.

0:13:21.280 --> 0:13:23.000
<v Speaker 2>Retto didn't buy it for your keeper.

0:13:22.800 --> 0:13:25.680
<v Speaker 6>Coming straight out of my paycheck. Rehtto doesn't pay for it.

0:13:25.760 --> 0:13:28.760
<v Speaker 2>You bought a Tesla, and they had a Bloomberg technology

0:13:28.760 --> 0:13:34.599
<v Speaker 2>and all our San Francisco efforts. His chronicled self driving

0:13:35.000 --> 0:13:39.080
<v Speaker 2>on a Tesla like, literally, it's a public good. When

0:13:39.280 --> 0:13:42.760
<v Speaker 2>are we going to have confidence for a Tesla or

0:13:42.800 --> 0:13:45.880
<v Speaker 2>any other car to be quote unquote self driving.

0:13:46.120 --> 0:13:49.240
<v Speaker 6>I don't know when we collectively will have confidence. I

0:13:49.320 --> 0:13:53.600
<v Speaker 6>don't have confidence. So I leased a Tesla. Little why

0:13:53.760 --> 0:13:55.600
<v Speaker 6>I think I've discussed it with you on the show.

0:13:55.679 --> 0:13:55.800
<v Speaker 1>Right.

0:13:55.800 --> 0:13:57.480
<v Speaker 6>I did it because it was the most affordable option

0:13:57.559 --> 0:13:58.760
<v Speaker 6>at the time when I needed a car.

0:13:58.880 --> 0:14:01.360
<v Speaker 2>I was in one yesterday. Actually it's very.

0:14:01.160 --> 0:14:03.840
<v Speaker 6>Comfortable, Yeah, very comfortable, And the lease is like, it's

0:14:04.040 --> 0:14:06.360
<v Speaker 6>very cheap for you know, and we can afford it.

0:14:06.559 --> 0:14:09.280
<v Speaker 6>But I love technology, so my thinking was get hands

0:14:09.320 --> 0:14:11.560
<v Speaker 6>on with it. We write about and talk about full

0:14:11.559 --> 0:14:15.000
<v Speaker 6>self driving supervised software on air all the time. I

0:14:15.040 --> 0:14:16.880
<v Speaker 6>don't think it's fair for a journist to do that

0:14:16.960 --> 0:14:18.720
<v Speaker 6>and not use it. So I've been using it a lot,

0:14:18.800 --> 0:14:21.600
<v Speaker 6>and I have the latest version, twelve point five point

0:14:21.640 --> 0:14:25.640
<v Speaker 6>one that was released limited release Friday. It started to

0:14:25.720 --> 0:14:28.880
<v Speaker 6>roll out widespread today last twenty four hours, and I

0:14:28.880 --> 0:14:31.000
<v Speaker 6>took it for a ride Saturday, thirty miles from my

0:14:31.040 --> 0:14:34.240
<v Speaker 6>home to San Francisco. There were no incidents bar one,

0:14:34.640 --> 0:14:36.120
<v Speaker 6>so Golden gate Bridge iconic.

0:14:36.280 --> 0:14:37.600
<v Speaker 4>All it takes is one incident.

0:14:37.640 --> 0:14:39.240
<v Speaker 6>By the way, well exactly, So I get onto the

0:14:39.240 --> 0:14:41.480
<v Speaker 6>Golden gate Bridge, I'm in the correct lane. I actually

0:14:41.560 --> 0:14:44.240
<v Speaker 6>change the software changes lanes for me, and it spits

0:14:44.280 --> 0:14:46.240
<v Speaker 6>me out the other side, on the San Francisco side,

0:14:46.280 --> 0:14:48.560
<v Speaker 6>and I'm heading toward the toll booth. There are six

0:14:48.600 --> 0:14:50.840
<v Speaker 6>toll booths, only two of them are open. Gets me

0:14:50.880 --> 0:14:52.560
<v Speaker 6>in one of them that's open with a green arrow.

0:14:52.760 --> 0:14:56.040
<v Speaker 6>Good start, but it says very clearly, do not stop.

0:14:56.200 --> 0:14:58.680
<v Speaker 6>Maintain speed twenty five miles an hour. I get to

0:14:58.720 --> 0:15:02.280
<v Speaker 6>the bollards and the self driving system slams the brakes

0:15:02.480 --> 0:15:04.680
<v Speaker 6>and I go down to six miles an hour. What's

0:15:04.720 --> 0:15:08.640
<v Speaker 6>behind me dozens of cars shooting off the bridge, not

0:15:08.680 --> 0:15:10.360
<v Speaker 6>at twenty five miles or forty miles an hour. I

0:15:10.480 --> 0:15:12.440
<v Speaker 6>made the choice in the moment not to intervene.

0:15:12.440 --> 0:15:13.040
<v Speaker 3>I should have done.

0:15:13.120 --> 0:15:16.000
<v Speaker 2>Were you listening to Jefferson Airplane and Grateful Dead?

0:15:18.400 --> 0:15:25.040
<v Speaker 6>I was listening to Kenny Gail. Okay, just classic for

0:15:25.080 --> 0:15:26.480
<v Speaker 6>the Woodwind movement, John.

0:15:26.280 --> 0:15:29.240
<v Speaker 2>Lives and the Garden State Parkway. There's someone doing in

0:15:29.320 --> 0:15:30.400
<v Speaker 2>Ned Ludlow experience.

0:15:30.400 --> 0:15:33.720
<v Speaker 4>Well, no, it's working, that's right. It doesn't take into

0:15:33.760 --> 0:15:37.080
<v Speaker 4>account the other nuts who are behind you on the roadway.

0:15:37.160 --> 0:15:39.320
<v Speaker 6>Yes, yes, and no. It's a purely camera based system, right,

0:15:39.360 --> 0:15:41.760
<v Speaker 6>and there are cameras around the perimeter of the car,

0:15:42.200 --> 0:15:45.880
<v Speaker 6>and so it literally does take into account the nuts

0:15:45.920 --> 0:15:49.240
<v Speaker 6>around you based on what the cameras can detect envision

0:15:49.240 --> 0:15:51.400
<v Speaker 6>in the speed they're moving at. I mean, I saw

0:15:51.440 --> 0:15:53.520
<v Speaker 6>something on the Bloomberg terminal yesterday that I don't think

0:15:53.520 --> 0:15:56.440
<v Speaker 6>I've seen in my career, which is Bloomberg's trick created

0:15:56.520 --> 0:15:59.560
<v Speaker 6>Now writing up that truest analyst note, he reflected on

0:15:59.600 --> 0:16:02.080
<v Speaker 6>his own experience where he almost had an incident, right,

0:16:02.080 --> 0:16:05.200
<v Speaker 6>he almost had crash. But what's the most amazing about

0:16:05.200 --> 0:16:07.080
<v Speaker 6>the story is not just the details of his note

0:16:07.200 --> 0:16:10.600
<v Speaker 6>and his thesis around Tesla's that that story got almost

0:16:10.600 --> 0:16:13.520
<v Speaker 6>fourteen thousand terminal reads in a single kill that day.

0:16:13.920 --> 0:16:15.960
<v Speaker 6>So people care, and I think that's why it's important

0:16:16.000 --> 0:16:16.600
<v Speaker 6>we talk about it.

0:16:16.960 --> 0:16:20.400
<v Speaker 4>Peter Thiel tells a great story about getting in Elon

0:16:20.520 --> 0:16:23.600
<v Speaker 4>Musk when he got his supercar way back when, and

0:16:23.640 --> 0:16:26.320
<v Speaker 4>he crashed it with him in the car. Didn't have

0:16:26.400 --> 0:16:27.880
<v Speaker 4>insurance either, by the way.

0:16:27.760 --> 0:16:31.240
<v Speaker 2>So what's the relationship of Tesla, California to Texas. We

0:16:31.280 --> 0:16:35.160
<v Speaker 2>all know the SOBA right and say, the California Department

0:16:35.320 --> 0:16:40.200
<v Speaker 2>of Driver's Licenses. Is there a government watching of Ed

0:16:40.280 --> 0:16:43.560
<v Speaker 2>Ludlow almost coming to death on the Golden gate Bridge?

0:16:43.600 --> 0:16:44.120
<v Speaker 2>Do they care?

0:16:44.360 --> 0:16:45.840
<v Speaker 6>That's a really excellent question.

0:16:46.040 --> 0:16:47.480
<v Speaker 2>So I only good one of the days to go

0:16:47.560 --> 0:16:47.960
<v Speaker 2>with a day.

0:16:48.080 --> 0:16:50.560
<v Speaker 6>The answer is that the federal level, it's NITZA, the

0:16:50.680 --> 0:16:55.800
<v Speaker 6>National Highway in Traffic Safety Administration, who essentially policed this

0:16:56.480 --> 0:16:59.800
<v Speaker 6>and different to other companies that you may or may

0:16:59.800 --> 0:17:01.680
<v Speaker 6>not have heard of, for example Zooks which is owned

0:17:01.680 --> 0:17:04.840
<v Speaker 6>by Amazon, or Waimo, which is owned by Alphabet, the

0:17:04.840 --> 0:17:08.439
<v Speaker 6>parent of Google. What Tester is doing is developing this

0:17:08.560 --> 0:17:11.520
<v Speaker 6>technology through the consumer in the real world with a

0:17:11.600 --> 0:17:16.600
<v Speaker 6>view long term to operating so called robotaxi fleet. And

0:17:16.680 --> 0:17:19.119
<v Speaker 6>what others are doing are testing vehicles where there is

0:17:19.200 --> 0:17:21.639
<v Speaker 6>no driver in the front seat and the consumer sits

0:17:21.640 --> 0:17:24.760
<v Speaker 6>in the back a genuine robotaxi, and that answers the

0:17:24.840 --> 0:17:27.800
<v Speaker 6>jurisdiction question that because this is going through the consumer,

0:17:28.200 --> 0:17:32.240
<v Speaker 6>it's largely NITZA that is adjudicating the development of it

0:17:32.320 --> 0:17:35.360
<v Speaker 6>in the risk in real time in this country only,

0:17:35.400 --> 0:17:35.920
<v Speaker 6>I should.

0:17:35.720 --> 0:17:39.440
<v Speaker 4>Say, crossing fifty seventh Street this morning at three am,

0:17:39.680 --> 0:17:44.800
<v Speaker 4>they've milled the roadway preparing it for removing. There are

0:17:44.800 --> 0:17:46.919
<v Speaker 4>no lines on the roadway and this has been this

0:17:46.960 --> 0:17:49.159
<v Speaker 4>way for three week typical in New York City. You

0:17:49.200 --> 0:17:52.520
<v Speaker 4>get prepared to pave a roadway, it takes about three

0:17:52.560 --> 0:17:56.520
<v Speaker 4>weeks after you jam. Well, no, it's the truth. AI

0:17:56.680 --> 0:17:58.119
<v Speaker 4>is going to solve that problem for me.

0:17:58.320 --> 0:18:00.040
<v Speaker 6>Finance, isn't you go across.

0:17:59.720 --> 0:18:01.880
<v Speaker 4>Fifty seven streets lines the road?

0:18:02.040 --> 0:18:05.000
<v Speaker 6>So this is another excellent question. In the truest note,

0:18:05.119 --> 0:18:08.160
<v Speaker 6>the analyst recalls three incidents where he had to intervene

0:18:08.200 --> 0:18:11.680
<v Speaker 6>because he felt unsafe. What the camera system is supposed

0:18:11.720 --> 0:18:14.800
<v Speaker 6>to do is detect all elements of the road around you,

0:18:14.880 --> 0:18:17.680
<v Speaker 6>including a white solid line now on a freeway or

0:18:17.680 --> 0:18:20.400
<v Speaker 6>a highway environment, the rules of the road in any

0:18:20.440 --> 0:18:22.840
<v Speaker 6>state are that you must not change lane with a

0:18:22.880 --> 0:18:26.520
<v Speaker 6>white solid line. In the analyst's note, the car chose

0:18:26.560 --> 0:18:29.760
<v Speaker 6>to change lane of its own decision making, breaking that

0:18:29.880 --> 0:18:32.000
<v Speaker 6>rule of the road. Now, in the incident or the

0:18:32.320 --> 0:18:34.960
<v Speaker 6>environment you've described, there are no lines, and so that's

0:18:35.000 --> 0:18:37.119
<v Speaker 6>one of the things the camera based system is supposed

0:18:37.160 --> 0:18:39.800
<v Speaker 6>to use to help it navigate the world around it.

0:18:39.800 --> 0:18:44.280
<v Speaker 6>It's another great question. It would use proximity to basically

0:18:44.320 --> 0:18:46.600
<v Speaker 6>maintain a course, but of course it's not ideal.

0:18:46.760 --> 0:18:52.000
<v Speaker 2>Do you assume at some point that Tesla will continue this,

0:18:52.160 --> 0:18:55.040
<v Speaker 2>reinvigorate it, or will they step aside and say we

0:18:55.200 --> 0:18:56.040
<v Speaker 2>just can't get it done.

0:18:56.320 --> 0:18:56.800
<v Speaker 5>They're all in.

0:18:56.880 --> 0:18:59.440
<v Speaker 6>I mean, my sourcing that company is that this is it,

0:18:59.680 --> 0:19:01.880
<v Speaker 6>and you're either with it or you're not. I'll say

0:19:01.880 --> 0:19:03.719
<v Speaker 6>something I've said to you many times Tom, which is

0:19:04.000 --> 0:19:07.600
<v Speaker 6>Elon Musk is often late, always late, but he gets

0:19:07.680 --> 0:19:11.080
<v Speaker 6>there in the end, and to his credit, you know,

0:19:11.560 --> 0:19:16.080
<v Speaker 6>it's not a perfect safe experience. It's pretty astonishing the technology.

0:19:16.359 --> 0:19:19.760
<v Speaker 6>The difficulty for investors many listening to this program is

0:19:19.960 --> 0:19:22.160
<v Speaker 6>I don't get the jump. How do I go from

0:19:22.200 --> 0:19:24.960
<v Speaker 6>sitting in my own car where I partially allow it

0:19:25.000 --> 0:19:28.480
<v Speaker 6>to dry itself drive itself to a future where Tesla

0:19:28.520 --> 0:19:31.000
<v Speaker 6>operates a fleet like Uber of robotaxing.

0:19:31.040 --> 0:19:33.760
<v Speaker 2>We've been unfair, We've been Thank you seriously ed for

0:19:34.000 --> 0:19:36.879
<v Speaker 2>just this incredible real life coverage. I read it voraciously

0:19:36.920 --> 0:19:40.240
<v Speaker 2>on the weekends. Ludlow is all I read anything else kind?

0:19:40.400 --> 0:19:44.600
<v Speaker 2>Microsoft this afternoon, what's your nuance at Bloomberg Technology? Yeah?

0:19:44.720 --> 0:19:47.520
<v Speaker 6>I call it this earning season. Do you understand the

0:19:47.560 --> 0:19:50.000
<v Speaker 6>money machine? For every dollar you're putting in the machine,

0:19:50.000 --> 0:19:52.760
<v Speaker 6>how many dollars are coming out? And Microsoft gave us

0:19:52.760 --> 0:19:55.800
<v Speaker 6>a sense of that last quarter. Basically, they gave us

0:19:55.800 --> 0:19:58.480
<v Speaker 6>a CAPEX figure and they said we had thirty percent

0:19:58.520 --> 0:20:01.280
<v Speaker 6>top line growth on Cloud. Seven percent of that came

0:20:01.320 --> 0:20:04.359
<v Speaker 6>from AI and for the street, that was kind of enough.

0:20:04.600 --> 0:20:07.199
<v Speaker 6>But the concern is, you're spending all this money, what

0:20:07.280 --> 0:20:08.760
<v Speaker 6>do you have to show for it in terms of

0:20:08.760 --> 0:20:11.359
<v Speaker 6>top line growth. You guys probably have a longer standing

0:20:11.400 --> 0:20:13.919
<v Speaker 6>relationship with Microsoft than I do. With respect. It's been

0:20:13.960 --> 0:20:16.800
<v Speaker 6>around since the mid seventies. But what it's always been

0:20:16.840 --> 0:20:19.520
<v Speaker 6>good at is selling software you could otherwise get for free,

0:20:19.840 --> 0:20:21.880
<v Speaker 6>and that gives the market some confidence in that name.

0:20:21.880 --> 0:20:24.880
<v Speaker 6>It's one of the most widely held stocks among institutionals

0:20:24.920 --> 0:20:25.919
<v Speaker 6>and retailers on the planet.

0:20:26.119 --> 0:20:27.919
<v Speaker 2>We're doing it. We have a baseball player of the

0:20:28.040 --> 0:20:32.040
<v Speaker 2>New York Yankees. It's a baseball team, ED and they

0:20:32.040 --> 0:20:35.199
<v Speaker 2>have a new player that's wonderful called Jazz Chisholm. So

0:20:35.720 --> 0:20:38.439
<v Speaker 2>I talk to your people and I said, what does

0:20:38.640 --> 0:20:41.320
<v Speaker 2>what does Ed Lovelow want in terms of jazz And

0:20:41.359 --> 0:20:45.920
<v Speaker 2>they said, adds just like all Kenny g is Kenny

0:20:46.000 --> 0:20:46.800
<v Speaker 2>g js Jan.

0:20:47.840 --> 0:20:51.440
<v Speaker 4>Well, if that's open to debate, I would say no,

0:20:51.720 --> 0:20:53.520
<v Speaker 4>But yeah.

0:20:53.160 --> 0:21:04.479
<v Speaker 3>Ed Ludlow wember respect.

0:21:06.320 --> 0:21:09.600
<v Speaker 2>Mike Green joins its chief strategies to simplify asset management,

0:21:10.080 --> 0:21:13.680
<v Speaker 2>always thinking about the market for various and sundry firms,

0:21:13.720 --> 0:21:17.960
<v Speaker 2>including Canyon. Over the years you have and you know, Mike,

0:21:18.000 --> 0:21:21.800
<v Speaker 2>how I feel about this. I hate the modern parlor

0:21:21.880 --> 0:21:26.520
<v Speaker 2>game of the FED. And the parlor game exists because

0:21:26.560 --> 0:21:29.000
<v Speaker 2>we have data and we could go to our Bloomberg

0:21:29.040 --> 0:21:31.880
<v Speaker 2>and look at the data, and we're more certain ourselves

0:21:31.920 --> 0:21:35.040
<v Speaker 2>because we've got the data. And now we're data dependent.

0:21:35.359 --> 0:21:38.359
<v Speaker 2>And you liken it to two drunks, the dual mandates

0:21:38.800 --> 0:21:41.520
<v Speaker 2>at the ex post bar of the FED.

0:21:42.119 --> 0:21:45.760
<v Speaker 7>Yeah, we're definitely staggering home trying to solve both unemployment,

0:21:45.800 --> 0:21:47.679
<v Speaker 7>which we're not entirely sure what it is and how

0:21:47.720 --> 0:21:49.800
<v Speaker 7>it's caused. And we're trying to solve inflation, which we

0:21:49.840 --> 0:21:51.960
<v Speaker 7>freely admit we're not entirely sure how to fix it

0:21:52.080 --> 0:21:52.600
<v Speaker 7>or solve it.

0:21:52.640 --> 0:21:54.639
<v Speaker 2>And you mentioned the Blinder op ed here in the

0:21:54.680 --> 0:21:58.919
<v Speaker 2>Western Journal is the example. So how does that fold

0:21:58.960 --> 0:22:02.359
<v Speaker 2>into the July seven September guessing game of those in

0:22:02.400 --> 0:22:02.960
<v Speaker 2>the parlor?

0:22:03.200 --> 0:22:05.040
<v Speaker 7>So I think we're now at a point of decision

0:22:05.040 --> 0:22:07.040
<v Speaker 7>where the FED is likely to go ahead barring some

0:22:07.240 --> 0:22:10.119
<v Speaker 7>catastrophic rating that comes through. But the important point the

0:22:10.160 --> 0:22:13.560
<v Speaker 7>Blinder is making is that we've changed the seasonality. Just

0:22:13.600 --> 0:22:16.680
<v Speaker 7>the methodology with which we produce the data on inflation

0:22:17.440 --> 0:22:21.399
<v Speaker 7>is influenced by the prior behavior of prices. The last

0:22:21.480 --> 0:22:25.200
<v Speaker 7>revision basically adjusted for the time period from twenty seventeen

0:22:25.280 --> 0:22:28.280
<v Speaker 7>to twenty twenty two, which includes the nonsense around COVID.

0:22:28.320 --> 0:22:33.000
<v Speaker 7>This has shifted seasonality dramatically. It raises prices or raises

0:22:33.040 --> 0:22:37.000
<v Speaker 7>inflation numbers that we're getting in the fall and early spring,

0:22:37.400 --> 0:22:40.720
<v Speaker 7>and it's lowering them in the summer. That's creating conditions

0:22:40.760 --> 0:22:43.520
<v Speaker 7>where we could come into the fall, even as underlying

0:22:43.560 --> 0:22:46.680
<v Speaker 7>inflation continues to fall, and suddenly we see a hot

0:22:46.680 --> 0:22:49.400
<v Speaker 7>CPI print again, derailing the question of is the FED

0:22:49.480 --> 0:22:52.400
<v Speaker 7>going to cut despite the very obvious need to do

0:22:52.480 --> 0:22:53.160
<v Speaker 7>so and.

0:22:53.160 --> 0:22:57.360
<v Speaker 4>The inflation fight. It comes at the expanse of jobs.

0:22:57.680 --> 0:23:00.159
<v Speaker 7>It can right. It becomes a question of what we

0:23:00.280 --> 0:23:02.600
<v Speaker 7>actually trying to diagnose. And this is one of these

0:23:02.640 --> 0:23:06.560
<v Speaker 7>really weird situations in which the map becomes the territory.

0:23:07.080 --> 0:23:10.399
<v Speaker 7>We're not actually looking at what's happening in the economy. Instead,

0:23:10.400 --> 0:23:13.040
<v Speaker 7>we're turning around and relying on the data, which was

0:23:13.080 --> 0:23:15.879
<v Speaker 7>the point that Tom was making, that we confidently receive

0:23:15.920 --> 0:23:18.640
<v Speaker 7>from government agencies that are printing this. Now most people

0:23:18.680 --> 0:23:22.679
<v Speaker 7>think there's giant conspiracies around this. It's really just mechanical inputs.

0:23:23.000 --> 0:23:23.080
<v Speaker 2>Right.

0:23:23.119 --> 0:23:25.439
<v Speaker 7>When you have thousands and thousands of employees who are

0:23:25.440 --> 0:23:27.800
<v Speaker 7>doing this, you have to have rules around how you

0:23:27.840 --> 0:23:31.200
<v Speaker 7>construct it. Those rules are built for time periods of stability,

0:23:31.240 --> 0:23:32.840
<v Speaker 7>and the last five years have been anything.

0:23:32.880 --> 0:23:37.560
<v Speaker 4>But if we're not data dependent, then we're what anecdotally depended.

0:23:37.800 --> 0:23:40.639
<v Speaker 7>Well, anecdotes are data in one form or another, right,

0:23:40.680 --> 0:23:42.919
<v Speaker 7>but we need to actually have a theoretical model and

0:23:42.920 --> 0:23:46.400
<v Speaker 7>an understanding of what's really going on. We are looking

0:23:46.480 --> 0:23:49.879
<v Speaker 7>at components of inflation that are deeply lagging, things like

0:23:50.000 --> 0:23:52.919
<v Speaker 7>insurance that ensures the value of the car as of

0:23:53.040 --> 0:23:56.520
<v Speaker 7>last year. Right, that it relates to behaviors of consumers

0:23:56.560 --> 0:24:00.760
<v Speaker 7>who are increasingly stressed and deciding to, you know, sue

0:24:00.840 --> 0:24:03.720
<v Speaker 7>people for compensation in a variety of ways. We're seeing

0:24:03.720 --> 0:24:07.320
<v Speaker 7>this insurance fraud is rising. Those are not inflationary. Those

0:24:07.359 --> 0:24:10.040
<v Speaker 7>are market pressures and market powers, And the answer to them,

0:24:10.040 --> 0:24:13.520
<v Speaker 7>of course, is fewer people drive cars. That's gonna end

0:24:13.600 --> 0:24:15.560
<v Speaker 7>up playing out even if the FED reacts.

0:24:15.640 --> 0:24:18.680
<v Speaker 2>What does it do to assets? I mean, what we're

0:24:18.680 --> 0:24:21.920
<v Speaker 2>talking here about, folks, is a difference between risk where

0:24:21.920 --> 0:24:25.760
<v Speaker 2>you can model what you've got, and outright uncertainty where

0:24:25.800 --> 0:24:29.359
<v Speaker 2>you can't model it. What does that do to asset prices?

0:24:29.840 --> 0:24:33.560
<v Speaker 7>So the uncertainty around the Fed's reaction function, or the

0:24:33.760 --> 0:24:37.879
<v Speaker 7>uncertainty around do we have anything approximating an optimal path

0:24:37.920 --> 0:24:41.439
<v Speaker 7>of interest rates is ultimately just like sand in the

0:24:41.480 --> 0:24:44.119
<v Speaker 7>gears of the system. Right, it slows it down, It

0:24:44.200 --> 0:24:47.000
<v Speaker 7>creates increased risks. You can err on the side of

0:24:47.000 --> 0:24:49.680
<v Speaker 7>too liberal and too generous, as we may have done

0:24:49.880 --> 0:24:52.560
<v Speaker 7>ten years ago. Now we're on the flip side of that,

0:24:52.680 --> 0:24:56.119
<v Speaker 7>and we're watching segments of the economy slowly wither away.

0:24:56.560 --> 0:24:59.159
<v Speaker 4>How restrictive are we right now?

0:24:59.320 --> 0:25:01.520
<v Speaker 7>I think it really depends on who you ask. Right

0:25:01.560 --> 0:25:04.280
<v Speaker 7>there's no restriction for a company that is incredibly cash

0:25:04.359 --> 0:25:08.399
<v Speaker 7>rich like Microsoft. There was a fantastic headline that Apple,

0:25:08.640 --> 0:25:10.879
<v Speaker 7>you know, made over a billion dollars on its cash

0:25:10.920 --> 0:25:14.480
<v Speaker 7>balance last quarter. They're not thinking about interest rates at all.

0:25:14.520 --> 0:25:17.480
<v Speaker 7>They don't care. But there are many companies that are

0:25:17.520 --> 0:25:20.400
<v Speaker 7>deeply distressed in terms of their access to credit, particularly

0:25:20.440 --> 0:25:21.160
<v Speaker 7>at the small side.

0:25:21.320 --> 0:25:24.600
<v Speaker 2>So who's your study of who the Fed should listen to?

0:25:25.080 --> 0:25:28.600
<v Speaker 2>The to to borrow a word from pure research, the

0:25:28.640 --> 0:25:33.440
<v Speaker 2>topology of America, your own Powell has to choose who

0:25:33.480 --> 0:25:36.200
<v Speaker 2>to adapt policy to. Obviously it's not going to be

0:25:36.280 --> 0:25:39.560
<v Speaker 2>Tim Cook, I get that, But they who do they

0:25:40.119 --> 0:25:41.280
<v Speaker 2>adapt for?

0:25:42.680 --> 0:25:45.760
<v Speaker 7>Ultimately, what we should be doing is adapting for the

0:25:45.800 --> 0:25:49.720
<v Speaker 7>maximum ability to change, right so, the ability to accommodate

0:25:49.720 --> 0:25:53.000
<v Speaker 7>the shifts that are occurring in our economy right right now.

0:25:53.040 --> 0:25:55.480
<v Speaker 7>What we're doing is we're basically saying the answer is

0:25:55.520 --> 0:25:58.600
<v Speaker 7>get prices down, where the answer is get inflation or

0:25:58.640 --> 0:26:01.960
<v Speaker 7>get unemployment up. Neither of those are answers. Those are

0:26:02.000 --> 0:26:03.119
<v Speaker 7>actually just data.

0:26:03.160 --> 0:26:05.080
<v Speaker 2>Again, well, I could go on for this for hours

0:26:05.080 --> 0:26:08.359
<v Speaker 2>because full disclosure, folks. I agree with everything Mike Green's saying.

0:26:08.760 --> 0:26:13.359
<v Speaker 2>But to be direct about it, are we victims of

0:26:13.520 --> 0:26:18.680
<v Speaker 2>green spans measured? To me? The dampening folks, I'm not

0:26:18.680 --> 0:26:20.000
<v Speaker 2>going to go to the math of this, but there's

0:26:20.040 --> 0:26:22.920
<v Speaker 2>a browning function and a drift function, and the answer

0:26:22.960 --> 0:26:25.960
<v Speaker 2>is you dampen out. And that's a good thing. Basically,

0:26:26.040 --> 0:26:29.720
<v Speaker 2>with a measured approach, we've dampened out our outcomes. That's

0:26:29.720 --> 0:26:30.280
<v Speaker 2>the hope.

0:26:30.560 --> 0:26:33.520
<v Speaker 7>That is the objective is to minimize the disruption that

0:26:33.520 --> 0:26:37.040
<v Speaker 7>occurs because when people become unemployed, you lose years of

0:26:37.119 --> 0:26:40.280
<v Speaker 7>human capital. Right, It's just that simple. That's really the

0:26:40.280 --> 0:26:42.239
<v Speaker 7>issue that we're dealing with. On the flip side of that,

0:26:42.640 --> 0:26:46.240
<v Speaker 7>as Stan Druckenmiller pointed out many years ago, you can overdampen.

0:26:46.520 --> 0:26:49.880
<v Speaker 7>Over damping encourages excess leverage. And so it is a

0:26:50.000 --> 0:26:51.920
<v Speaker 7>very tough job that the FED has And the simple

0:26:51.920 --> 0:26:54.680
<v Speaker 7>answer is we're asking it to do way too much.

0:26:54.680 --> 0:26:57.880
<v Speaker 7>We got a dysfunctional Congress, We've outsourced much of our

0:26:57.920 --> 0:26:59.760
<v Speaker 7>policy making to monitor.

0:26:59.600 --> 0:27:02.400
<v Speaker 2>They are are they affected by Laurence Summer and Olivia

0:27:02.440 --> 0:27:06.680
<v Speaker 2>Blanchard's great work on hysteresis the long term effect of unemployment,

0:27:06.960 --> 0:27:09.800
<v Speaker 2>or they just simply slaves to the Dallas trim mean

0:27:10.440 --> 0:27:12.080
<v Speaker 2>or the PCE deflator.

0:27:12.200 --> 0:27:14.679
<v Speaker 7>I think unfortunately this is where it gets confused with

0:27:14.840 --> 0:27:18.080
<v Speaker 7>political influence, right. It really depends on what people are

0:27:18.080 --> 0:27:18.600
<v Speaker 7>worried about.

0:27:18.800 --> 0:27:18.919
<v Speaker 2>Right.

0:27:19.000 --> 0:27:21.720
<v Speaker 7>So in a low unemployment environment, they're very focused on

0:27:21.760 --> 0:27:25.199
<v Speaker 7>the inflation number. That's what people are angry about. In

0:27:25.240 --> 0:27:27.480
<v Speaker 7>a high unemployment environment, you're gonna have to flip that.

0:27:27.560 --> 0:27:29.800
<v Speaker 7>And unfortunately it feels very much like the risks that

0:27:29.920 --> 0:27:31.920
<v Speaker 7>is flipping in the opposite direction are quite high.

0:27:32.000 --> 0:27:34.159
<v Speaker 2>Now, bottle of Mike Green and a little bit out

0:27:34.200 --> 0:27:38.600
<v Speaker 2>on Bloomberg Digital. Here today Mike Green is to simplify

0:27:39.080 --> 0:27:43.040
<v Speaker 2>asset management. This is a Bloomberg Surveillance podcast bringing you

0:27:43.119 --> 0:27:47.760
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