WEBVTT - Markets Face Clouded Rate Outlook as Record US Shutdown Ends

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

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

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<v Speaker 1>us live on YouTube.

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<v Speaker 2>Tiffany wild joins US managing director and economist at Pimco.

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<v Speaker 2>At Tiffany, I look at the Wilding Excel spreadsheet and

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<v Speaker 2>I guess it needs readjustment. Do you have a vision

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<v Speaker 2>out past Q four of what the American economy is

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<v Speaker 2>gonna do?

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<v Speaker 3>Or you just have to wait?

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<v Speaker 4>Yeah, I mean it's been obviously very difficult or more

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<v Speaker 4>difficult to get a sense on what's going on in

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<v Speaker 4>the economy just with the data that hasn't been released,

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<v Speaker 4>you know, but never the less, with private sector sources

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<v Speaker 4>of data, you know, we can get some insight, you know,

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<v Speaker 4>and it does look like things are pretty stable. We

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<v Speaker 4>think the economy is kind of a story of winners

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<v Speaker 4>and losers right now. Where you have, you know, obviously

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<v Speaker 4>the big tech companies, the AI build out, that's that's

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<v Speaker 4>very strong. But on the other side of that, you

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<v Speaker 4>have various factors that have hit the labor market, you know,

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<v Speaker 4>including the immigration story. We think lower demand is a

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<v Speaker 4>result of tariffs and of course some AI related displacement

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<v Speaker 4>that's resulting in you know, some loss of tech related

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<v Speaker 4>jobs is the other piece of that that looks weaker,

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<v Speaker 4>you know. I think in terms of monetary policy and

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<v Speaker 4>the FED, the fact that we haven't gotten the labor

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<v Speaker 4>market data, you know, is it makes it more difficult

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<v Speaker 4>for monetary policy go ahead.

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<v Speaker 2>Surprise that the UK today have a negative statistic on GDP.

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<v Speaker 2>Are you like a sub one percent GDP? Could that

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<v Speaker 2>be the shock of the shutdown we just lived?

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<v Speaker 4>Yeah, I mean, okay, yeah, so the shutdown will absolutely

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<v Speaker 4>impact fourth quarter growth. We think that one one to

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<v Speaker 4>one and a half percent is what it could shave

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<v Speaker 4>off of the fourth quarter. So we absolutely could see

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<v Speaker 4>a negative fourth quarter GDP print. But nevertheless, as you know,

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<v Speaker 4>as the government has already reopened, that activity will come

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<v Speaker 4>back online and you'll see an offsetting pickup in the

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<v Speaker 4>first quarter of next year. I think the other thing

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<v Speaker 4>to keep in mind in the first quarter is that

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<v Speaker 4>you're also going to get refund checks to households that

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<v Speaker 4>are quite large this year, so that will provide also

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<v Speaker 4>some support to the economy and to consumption in the

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<v Speaker 4>first part of next year.

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<v Speaker 5>Bet on the inflation front, tiffany A lot of folks

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<v Speaker 5>in the beginning of this tariff discussion, we're warning against

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<v Speaker 5>higher inflation, maybe materially higher inflation's resulting from terrorists.

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<v Speaker 3>But we haven't seen it, have we.

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<v Speaker 4>Yeah, we certainly haven't seen it to the extent that

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<v Speaker 4>many thought we would earlier this year. And I think

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<v Speaker 4>what we're learning as we are, as we have seen

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<v Speaker 4>some data, you know, is that companies are dealing with

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<v Speaker 4>the tariffs in different ways, and and one of those

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<v Speaker 4>ways is trying to cut costs to you know, to

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<v Speaker 4>defend margins as well as passing some of it along.

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<v Speaker 4>But I think the big surprise for this year is

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<v Speaker 4>the you know, is basically the management of labor costs

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<v Speaker 4>that the companies appear to be doing associated with the tariffs.

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<v Speaker 4>So we have seen the labor market really grind to

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<v Speaker 4>a halt this year. Labor demand and labor supply decelerate,

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<v Speaker 4>and we think that's directly related to companies trying to

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<v Speaker 4>cut costs in the face of tariffs.

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<v Speaker 5>And on the labor front, as you bring up here,

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<v Speaker 5>the closing of the southern border has really been effective here,

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<v Speaker 5>and there's also been some deportation has been reported. How's

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<v Speaker 5>that impacted kind of the labor market here, particularly some

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<v Speaker 5>of the areas that we've you know, we're led to

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<v Speaker 5>believe would be really impacted, like agricultural, housing, construction, things

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<v Speaker 5>like that.

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<v Speaker 4>Yeah, I mean so so so far. I mean, I

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<v Speaker 4>mean the way that we would would kind of think

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<v Speaker 4>about it is is, you know, is supply the decline

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<v Speaker 4>and labor supply is it sort of out stripping the

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<v Speaker 4>decline in labor demand. And one way that we can

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<v Speaker 4>get a sense for that is to look at wages

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<v Speaker 4>and wage inflation. And when we look at wage inflation

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<v Speaker 4>in those particular sectors, we're not really seeing them accelerate

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<v Speaker 4>or reaccelerate, at least not yet. And the latest labor

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<v Speaker 4>market official labor market data that we did get actually

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<v Speaker 4>suggested that construction payrolls were contracting, and that was actually

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<v Speaker 4>very much in line with the fact that structures investment

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<v Speaker 4>in the United States, both residential and non residential structures investment,

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<v Speaker 4>were also contracting. So, of course, on the horizon we

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<v Speaker 4>have this data center build out, but it actually does

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<v Speaker 4>look like the range of data suggests that that even

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<v Speaker 4>in construction in other places like that, you're seeing demand

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<v Speaker 4>that's declining just as much as a supply.

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<v Speaker 3>It's shifting.

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<v Speaker 2>Welding was us with Pimcot. We continue here. We welcome

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<v Speaker 2>all of you across the nation. After the early morning

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<v Speaker 2>of Newport Beach, California. Good morning on YouTube. Subscribe to

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<v Speaker 2>Bloomberg Podcast. It's our new digital expression. As they say,

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<v Speaker 2>Neil data from Renaissance. It features out on LinkedIn a

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<v Speaker 2>Bloomberg News article, Paul the combine out of Detroit, Tiffany,

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<v Speaker 2>I want to fold this in. Bloomberg publishes that distressed

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<v Speaker 2>auto loans are up to a record level. What indications

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<v Speaker 2>do you see of a better part of half of

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<v Speaker 2>the American economy under great stress? As simple as something

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<v Speaker 2>like they can't pay their auto loans.

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<v Speaker 4>Yeah, you know, there's like you know, like you mentioned,

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<v Speaker 4>there is certainly winners and losers in this economy, and

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<v Speaker 4>you know, it seems like the you know, lower income

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<v Speaker 4>folks increasingly are are struggling more here the auto delinquency increase,

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<v Speaker 4>I think as part of that story, there's been data

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<v Speaker 4>on actual repossessions as well, which will increase use car supply,

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<v Speaker 4>so that feeds into you know, some of the distantallyationary

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<v Speaker 4>parts of the economy. So yeah, I mean there is

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<v Speaker 4>certainly an effect here. You know. I think the story

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<v Speaker 4>as well is for smaller and mid sized businesses that

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<v Speaker 4>are more directly impacted by the tariffs. You know, those

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<v Speaker 4>businesses will will struggle here. So there will be parts

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<v Speaker 4>of the economy that, as the economy goes through a

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<v Speaker 4>transition to these new policies and new technology, that will

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<v Speaker 4>struggle to keep up.

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<v Speaker 5>So how do you think this FED is going to

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<v Speaker 5>proceed here with its presumably rate cutting policy here, is

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<v Speaker 5>the cadence going to be kind of you know, steady

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<v Speaker 5>eddy for the next two, three, four meetings or do

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<v Speaker 5>you think they're going to be really stop and take

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<v Speaker 5>a look at the data.

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<v Speaker 4>Yeah, I mean, I ultimately think that they probably will pause.

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<v Speaker 4>And the reason for that is that you are going

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<v Speaker 4>to see additional fiscal related stimulus offsetting some of the

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<v Speaker 4>tariff related drag in the form of household tax credits refunds,

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<v Speaker 4>you know, and lower taxes for corporations as well, and

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<v Speaker 4>that will provide some offsetting support for the tariffs. Now,

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<v Speaker 4>as I mentioned, not everybody will will be able to

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<v Speaker 4>capture all of that. There will be winners and losers.

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<v Speaker 4>But nevertheless, we think in the first you know, first

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<v Speaker 4>half of next year, you will see that hit the

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<v Speaker 4>economy and that will provide some support. I think the

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<v Speaker 4>Federal Reserve is certainly looking to that, and it's probably

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<v Speaker 4>why they are, you know, somewhat more cautious about cutting

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<v Speaker 4>interest rates. You know, we think when we look at

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<v Speaker 4>the labor market, you know, the data does suggest to us, however,

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<v Speaker 4>that there has been you know, some additional deceleration over

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<v Speaker 4>the last couple of months, you know, and I think

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<v Speaker 4>the risks in the labor market do suggest it maybe

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<v Speaker 4>one more cut, either in December or maybe January. But

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<v Speaker 4>then after that you see how the tax stimulus hits

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<v Speaker 4>the economy, and you wait, and there could be more

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<v Speaker 4>of a pause.

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<v Speaker 2>Tiffany, thank you, always, thank you, thank you, thank you.

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<v Speaker 2>Tivity Welding with us, going to go here.

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<v Speaker 3>Stay with us.

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<v Speaker 2>More from Blue Imberg Surveillance coming up after this.

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<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

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<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

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<v Speaker 3>Joining us now, the new slow is so intense.

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<v Speaker 2>They have one of our experts on American civics, Professor

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<v Speaker 2>Schiller at Brown University, Wendy Schiller, joins us right now. Wendy,

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<v Speaker 2>it's eighty days I think, or even seventy nine days

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<v Speaker 2>to the end of January. I believe all we did

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<v Speaker 2>was kick the can down the road to January thirtieth.

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<v Speaker 3>Am.

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<v Speaker 2>I right on that.

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<v Speaker 6>Well, good morning Tom and Paul.

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<v Speaker 7>We've discussed on this show how the incredible shrinking shutdowns,

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<v Speaker 7>meaning that you know, every time we go through this,

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<v Speaker 7>the Congress carves out more area that's protected from the

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<v Speaker 7>shell down.

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<v Speaker 6>So what's key about this agreement?

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<v Speaker 7>And I think this is really what sold the senators,

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<v Speaker 7>the Democrat senators who decided to vote for it, was

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<v Speaker 7>extending appropriations for a full year for snap for example,

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<v Speaker 7>for legislative appropriations meaning LEDG staffers will get paid, and

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<v Speaker 7>for veterans affairs.

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<v Speaker 6>So they've taken more hot.

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<v Speaker 7>Button really you know what we call valence kinds of

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<v Speaker 7>programs off the table for a shutdown. So next time,

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<v Speaker 7>maybe it'll just be air traffic controllers and that's a

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<v Speaker 7>huge deal, but it's you know, it's less than it

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<v Speaker 7>would be now. So I think that's the that's the

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<v Speaker 7>sort of hidden gem, if you will, in the shutdown deal.

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<v Speaker 2>Speak to our listeners and viewers who say, why did

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<v Speaker 2>we do this? I mean, I mean, I'm baffled by

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<v Speaker 2>the constructive outcome of this.

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<v Speaker 3>What was constructive in this exercise?

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<v Speaker 7>Well, the Democrats gambled that healthcare would be of concern.

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<v Speaker 7>They knew that private insurance market premiums were going to

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<v Speaker 7>go up.

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<v Speaker 6>That you know, the carriers have been very clear about

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<v Speaker 6>the cost of health care and that these premiums were going.

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<v Speaker 1>To go up.

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<v Speaker 7>So they drew attention to extending a subsidy for people

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<v Speaker 7>who buy Obamacare insurance and try to get a tax

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<v Speaker 7>break for the premium or some part of the premium.

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<v Speaker 7>You know, that's a smaller subset than everybody that's on Obamacare,

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<v Speaker 7>and that's kind of a bureaucratic issue. But now everybody

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<v Speaker 7>knows what that issue is, and they are they basically.

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<v Speaker 6>It's a simple fix, let's just extend it.

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<v Speaker 7>And they've put the Republicans in somewhat of a box

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<v Speaker 7>and they are counting on the Republicans to say no

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<v Speaker 7>so that they can run on this issue and run

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<v Speaker 7>on healthcare all in twenty eight twenty twenty six, just

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<v Speaker 7>as they did, excuse me, in twenty eighteen, where they

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<v Speaker 7>were very successful Senator Joe Manson, former Senator Joe Manchino

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<v Speaker 7>was Virginia. So the thing that saved them in his

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<v Speaker 7>reelection campaign at twenty eighteen was in fact healthcare because

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<v Speaker 7>they probably to try to repeal Obamacare. So I think

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<v Speaker 7>this is a setup that the Democrats have tried to

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<v Speaker 7>set up the Republicans on this issue.

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<v Speaker 2>Well, it's like being in a classroom at Brown University.

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<v Speaker 2>The professor's blather on, and I'm looking at ai. The

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<v Speaker 2>biggest number I have is fifteen percent are involved with

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<v Speaker 2>some form of healthcare assistance. I think the math is

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<v Speaker 2>eighty five percent of Americans aren't.

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<v Speaker 3>Yeah, maybe that's the heart of the matter.

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<v Speaker 5>Maybe it is, Wendy, But how does this shutdown affect

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<v Speaker 5>the midterm elections if at all?

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<v Speaker 3>Is this going to be something or not?

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<v Speaker 5>Even can remember in twenty six Well, you.

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<v Speaker 7>Know interesting patterns, right, So twenty thirteen, Ted Cruz led

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<v Speaker 7>the shutdown in the Senate to get the Grand bargain,

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<v Speaker 7>you know, to cut eighty billion from the budget over

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<v Speaker 7>ten years, not that we've been noticing now since the

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<v Speaker 7>budget is bigger than it's ever.

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<v Speaker 6>Been the federal budget. But they won the Senate.

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<v Speaker 7>The Republicans won the Senate in twenty fourteen for lots

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<v Speaker 7>of reasons, but that may have been one of them.

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<v Speaker 7>And then in twenty eighteen, twenty nineteen, the Democrats shut

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<v Speaker 7>the government down, essentially fighting with President Trump. Also that

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<v Speaker 7>shutdown ended after a traffic cancelations were too much to bear.

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<v Speaker 7>And you know, for lots of reasons, Biden won the

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<v Speaker 7>presidency and the Democrats won the Senate.

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<v Speaker 6>So I don't know that they think it's guaranteed, but it's.

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<v Speaker 7>Shown a big strobe light on healthcare and affordability. So

0:12:16.840 --> 0:12:19.840
<v Speaker 7>tom only fifteen percent may be affected, but two things. One,

0:12:19.920 --> 0:12:22.240
<v Speaker 7>they have relatives who are affected. You know, they may

0:12:22.280 --> 0:12:24.520
<v Speaker 7>not be on a bombcare, but they know people and

0:12:24.559 --> 0:12:28.080
<v Speaker 7>their family that are. And second, you know, it's just

0:12:28.160 --> 0:12:30.120
<v Speaker 7>shone a light on the fact that the healthcare system

0:12:30.200 --> 0:12:33.440
<v Speaker 7>is broken, and affordability then becomes the mantra that extends

0:12:33.480 --> 0:12:37.240
<v Speaker 7>to housing, to food, to gasoline, and the pressure on

0:12:37.280 --> 0:12:39.720
<v Speaker 7>the incombent government to address that. We saw that with

0:12:39.720 --> 0:12:42.360
<v Speaker 7>Biden in twenty four That pressure is only going to grow.

0:12:43.200 --> 0:12:46.880
<v Speaker 5>So what is on the to do list for Congress

0:12:47.320 --> 0:12:49.200
<v Speaker 5>now that it's going to be back in session, the

0:12:49.200 --> 0:12:51.280
<v Speaker 5>government's going to be open. What should we be looking

0:12:51.280 --> 0:12:51.760
<v Speaker 5>for here?

0:12:52.960 --> 0:12:55.480
<v Speaker 7>Well, we may have an Epstein vote, a vote in

0:12:55.520 --> 0:12:57.480
<v Speaker 7>the House to release the Epstein files. You have two

0:12:57.520 --> 0:13:00.800
<v Speaker 7>hundred and eighteen signatures on a discharge petition House rules.

0:13:00.800 --> 0:13:03.480
<v Speaker 7>That means it gets to bypass all the barriers and

0:13:03.520 --> 0:13:05.920
<v Speaker 7>come to the floor for a vote. That's a big

0:13:06.000 --> 0:13:08.920
<v Speaker 7>deal for the Republicans in the House. They're gonna have

0:13:08.920 --> 0:13:12.280
<v Speaker 7>to figure out in their own party what that sweet

0:13:12.320 --> 0:13:16.000
<v Speaker 7>spot is in terms of that vote and Obamacare subsidies,

0:13:16.040 --> 0:13:20.160
<v Speaker 7>because this will be the Democratic slogan, and the pressure

0:13:20.200 --> 0:13:23.640
<v Speaker 7>will be do you let these expire by December thirty first,

0:13:24.000 --> 0:13:25.160
<v Speaker 7>or do you reach a deal what you.

0:13:25.120 --> 0:13:26.120
<v Speaker 6>Extend them for a year?

0:13:26.480 --> 0:13:29.000
<v Speaker 7>The Republicans would be wise to extend them for a

0:13:29.080 --> 0:13:31.480
<v Speaker 7>year and then make the argument we control the government

0:13:31.480 --> 0:13:32.720
<v Speaker 7>will come up with a better plan.

0:13:33.160 --> 0:13:36.880
<v Speaker 6>Trump really wants it renamed. He hates that it's called Obamacare.

0:13:37.040 --> 0:13:39.080
<v Speaker 7>I think if you just renamed it and made some

0:13:39.120 --> 0:13:41.920
<v Speaker 7>small changes, he would sign it, and this problem would

0:13:41.920 --> 0:13:44.440
<v Speaker 7>be at least put off for another couple of years.

0:13:44.640 --> 0:13:47.520
<v Speaker 7>But that's where I think the Republicans can buy themselves

0:13:47.880 --> 0:13:50.079
<v Speaker 7>time and get off the hook. I don't know that

0:13:50.120 --> 0:13:51.679
<v Speaker 7>there are the votes in the House to do that.

0:13:51.720 --> 0:13:54.400
<v Speaker 7>Based on the content of the debate yesterday, I'm not

0:13:54.400 --> 0:13:54.880
<v Speaker 7>sure there are the.

0:13:54.920 --> 0:13:58.760
<v Speaker 2>Votes that can you do a Thursday audible Sure, Professor Schiller, well,

0:13:58.800 --> 0:14:01.680
<v Speaker 2>you were talking. You is Google Gemini to try to

0:14:01.679 --> 0:14:05.000
<v Speaker 2>be smarter to keep up with you at Brown University?

0:14:05.040 --> 0:14:08.480
<v Speaker 2>I mean, folks, Wendy's show is definitive in textbooks of

0:14:08.600 --> 0:14:14.160
<v Speaker 2>basic American Civics. Are your undergraduates and graduate students smarter

0:14:14.720 --> 0:14:15.640
<v Speaker 2>because of AI?

0:14:19.000 --> 0:14:22.320
<v Speaker 6>At the moment, I would have to say no. Will

0:14:22.360 --> 0:14:25.480
<v Speaker 6>they learn to be more efficient? Probably?

0:14:25.720 --> 0:14:28.880
<v Speaker 7>But we have software at Brown many universities do that

0:14:29.000 --> 0:14:31.520
<v Speaker 7>not only check for plagiarism, but it also checks for AI.

0:14:31.840 --> 0:14:34.640
<v Speaker 6>And I have a no AI rule on my paper.

0:14:34.800 --> 0:14:37.320
<v Speaker 7>So if you get a score of twenty percent of AI,

0:14:37.560 --> 0:14:39.320
<v Speaker 7>I ask you to rewrite that paper.

0:14:39.720 --> 0:14:42.880
<v Speaker 6>So at the moment, that's my attitude. Will it change

0:14:43.040 --> 0:14:43.600
<v Speaker 6>over the year.

0:14:43.680 --> 0:14:46.440
<v Speaker 7>We'll have to have more in person tests in class

0:14:46.520 --> 0:14:47.000
<v Speaker 7>with pen.

0:14:46.920 --> 0:14:48.240
<v Speaker 6>And paper, Like I already do.

0:14:48.840 --> 0:14:50.840
<v Speaker 7>But a lot of professors are going to that solution

0:14:51.600 --> 0:14:52.960
<v Speaker 7>because we still think we have.

0:14:52.920 --> 0:14:54.640
<v Speaker 6>Something to teach and they have something to learn.

0:14:55.400 --> 0:14:58.760
<v Speaker 7>But I imagine AI will be used as a tool

0:14:58.800 --> 0:15:01.800
<v Speaker 7>for efficiency. I'm not sure that's going to expand their brains.

0:15:01.800 --> 0:15:04.200
<v Speaker 2>So people on my bias here, Professor Shower, come on,

0:15:04.560 --> 0:15:08.240
<v Speaker 2>you can do perplexity and type in Andrew Jackson, or

0:15:08.240 --> 0:15:11.400
<v Speaker 2>you can go read three volumes of the giant Roger Remedy,

0:15:11.480 --> 0:15:14.240
<v Speaker 2>who was very very kind to me. Are you telling

0:15:14.280 --> 0:15:16.880
<v Speaker 2>me AI someday is going to be a substitute for

0:15:17.000 --> 0:15:20.320
<v Speaker 2>James McGregor Burns or Roger Remedy.

0:15:21.200 --> 0:15:24.480
<v Speaker 7>You know, I think intellectually curious students want to learn,

0:15:24.880 --> 0:15:27.120
<v Speaker 7>you know, And if AI has a limit, which I

0:15:27.120 --> 0:15:29.600
<v Speaker 7>think at the moment it does, then I think they're

0:15:29.640 --> 0:15:32.120
<v Speaker 7>going to Actually, they don't read full books anymore.

0:15:32.160 --> 0:15:33.520
<v Speaker 6>Tom, I can tell you us.

0:15:33.840 --> 0:15:36.720
<v Speaker 7>I assign pieces of books, or chapters of books, or

0:15:36.760 --> 0:15:38.960
<v Speaker 7>sets of pages from books, but they don't read whole

0:15:38.960 --> 0:15:39.640
<v Speaker 7>books anymore.

0:15:39.800 --> 0:15:42.560
<v Speaker 6>That's life. You have to just sorverjust if you're a professor.

0:15:42.920 --> 0:15:45.520
<v Speaker 7>But I think AI, in terms of these kids are

0:15:45.520 --> 0:15:48.360
<v Speaker 7>worried about how they present the outside world job market

0:15:48.400 --> 0:15:51.160
<v Speaker 7>got tighter. They're worried abou getting a job. They want

0:15:51.160 --> 0:15:54.080
<v Speaker 7>to look better and present better. They're using it for

0:15:54.280 --> 0:15:57.960
<v Speaker 7>that right now, not necessarily for entire intellectual content.

0:15:58.040 --> 0:15:59.920
<v Speaker 3>Professor Sweety would like to wait in here.

0:16:00.080 --> 0:16:02.960
<v Speaker 5>I'm glad I'm not in the educational process anymore.

0:16:03.400 --> 0:16:05.520
<v Speaker 3>I agree strongly. Yeah, I agree.

0:16:05.600 --> 0:16:07.520
<v Speaker 2>You and I were just like shaking our heads, and

0:16:07.600 --> 0:16:11.560
<v Speaker 2>Tucker over there's fulminating, Professor Schiller. They got to read books.

0:16:11.720 --> 0:16:15.240
<v Speaker 2>I mean, we're going to be different if we're not

0:16:15.400 --> 0:16:16.120
<v Speaker 2>reading books.

0:16:17.160 --> 0:16:20.400
<v Speaker 7>But social media has just completely decimated our attention span.

0:16:20.480 --> 0:16:23.000
<v Speaker 6>That's true of adults as well as you know. And

0:16:23.040 --> 0:16:25.360
<v Speaker 6>even audiobooks. I believe in audiobooks.

0:16:25.400 --> 0:16:26.960
<v Speaker 7>I think they're a really important tool for a lot

0:16:26.960 --> 0:16:29.200
<v Speaker 7>of people who really but you know, it's a different

0:16:29.200 --> 0:16:31.520
<v Speaker 7>cognitive process to listen than it is to read.

0:16:32.200 --> 0:16:34.240
<v Speaker 6>But you know, I have to go where they are

0:16:34.560 --> 0:16:36.840
<v Speaker 6>or I'm out of the chop. So in that sense,

0:16:37.520 --> 0:16:38.920
<v Speaker 6>you know, we have to not be obsolete.

0:16:39.000 --> 0:16:41.520
<v Speaker 7>We don't want to be turned into obsolete figures of professor,

0:16:41.600 --> 0:16:43.040
<v Speaker 7>So you have to go where they are.

0:16:43.360 --> 0:16:45.040
<v Speaker 6>So now I just shortened.

0:16:44.600 --> 0:16:48.480
<v Speaker 7>The readings, but I am asking them to take exams

0:16:48.520 --> 0:16:49.160
<v Speaker 7>in class.

0:16:49.320 --> 0:16:50.600
<v Speaker 6>So we'll see how that comes there.

0:16:50.680 --> 0:16:52.240
<v Speaker 3>You go, are you giving?

0:16:52.360 --> 0:16:55.280
<v Speaker 2>I got twenty seconds, so you're given out qualities sees here.

0:16:55.320 --> 0:16:56.640
<v Speaker 3>I don't see great inflation.

0:16:56.800 --> 0:17:01.400
<v Speaker 6>And for tre Schiller, reading is private. I don't talk

0:17:01.400 --> 0:17:03.400
<v Speaker 6>about unknown to me.

0:17:03.560 --> 0:17:05.800
<v Speaker 7>If you google me, if you're a listener's google me,

0:17:06.200 --> 0:17:08.560
<v Speaker 7>you'll see that I rate my professor. I don't always

0:17:08.560 --> 0:17:12.160
<v Speaker 7>get all the stars.

0:17:11.160 --> 0:17:11.920
<v Speaker 3>A star list.

0:17:12.000 --> 0:17:15.879
<v Speaker 2>Wendy Schiller think absolutely brilliant, folks, A window there in

0:17:15.960 --> 0:17:19.640
<v Speaker 2>the Brown University, the excellence at Wendy Schiller.

0:17:20.040 --> 0:17:20.760
<v Speaker 3>Stay with us.

0:17:21.000 --> 0:17:31.320
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:17:31.320 --> 0:17:35.240
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:17:35.240 --> 0:17:38.240
<v Speaker 1>starting at seven am Eastern on Apple Corplay and Android

0:17:38.280 --> 0:17:41.320
<v Speaker 1>Auto with the Bloomberg Business App. You can also listen

0:17:41.400 --> 0:17:44.680
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:17:45.200 --> 0:17:48.880
<v Speaker 1>Just say Alexa Play Bloomberg eleven thirty Joining us right now.

0:17:48.920 --> 0:17:53.520
<v Speaker 2>Kimberly LaPoint out of Wealth from Acquire Asset Management. Here

0:17:53.560 --> 0:17:57.439
<v Speaker 2>on other things to do besides buy Nvidia. How do

0:17:57.520 --> 0:18:02.919
<v Speaker 2>you buy infrastructure? Is there like stocks you buy or

0:18:02.960 --> 0:18:04.320
<v Speaker 2>do you buy alternative?

0:18:04.520 --> 0:18:07.400
<v Speaker 3>Yeah? I'm seeing people talk a lot about infrastructure.

0:18:07.840 --> 0:18:10.600
<v Speaker 2>But an acquarie on a global basis, how do you

0:18:10.720 --> 0:18:14.040
<v Speaker 2>actually affect an infrastructure purchase?

0:18:14.720 --> 0:18:17.159
<v Speaker 8>Well, first, great to be here, thanks for having me.

0:18:17.520 --> 0:18:21.600
<v Speaker 8>When we think about infrastructure at mcquari, we're primarily talking

0:18:21.640 --> 0:18:26.360
<v Speaker 8>about private infrastructure, so things like privatizing airports, toll roads,

0:18:26.600 --> 0:18:29.800
<v Speaker 8>the data centers, and the way you buy those investments

0:18:29.840 --> 0:18:32.480
<v Speaker 8>at firm. At a firm like Mcquarie, we have deep

0:18:32.520 --> 0:18:35.719
<v Speaker 8>teams of on the ground asset specialists that work closely

0:18:35.760 --> 0:18:40.040
<v Speaker 8>with local government, with local governments, with local operating partners.

0:18:40.720 --> 0:18:43.680
<v Speaker 3>Well, I just how do I buy a piece of LaGuardia.

0:18:44.480 --> 0:18:45.920
<v Speaker 6>So there's a number of ways that you could buy

0:18:45.920 --> 0:18:46.920
<v Speaker 6>a piece of LaGuardia.

0:18:47.160 --> 0:18:51.280
<v Speaker 8>One is through working with firms like mcquarie and some

0:18:51.920 --> 0:18:55.240
<v Speaker 8>of our peers that offer access to more and more

0:18:55.400 --> 0:18:58.720
<v Speaker 8>high net worth individuals as well as wealth investors around

0:18:58.720 --> 0:19:02.640
<v Speaker 8>the globe through the sties that they're bringing to market. So,

0:19:02.680 --> 0:19:07.200
<v Speaker 8>for example, at Macquarie, we have been working to bring

0:19:07.280 --> 0:19:11.120
<v Speaker 8>to wealth investors the same quality of investments, working and

0:19:11.320 --> 0:19:16.840
<v Speaker 8>investing alongside our institutional portfolios that invest in things like airports,

0:19:16.880 --> 0:19:19.960
<v Speaker 8>where we just took an additional stake in investing in

0:19:20.160 --> 0:19:24.840
<v Speaker 8>two airports in the UK Bristol and Birmingham.

0:19:24.960 --> 0:19:30.520
<v Speaker 5>Interesting, So just broadly define alternatives, how did they fit

0:19:30.560 --> 0:19:33.359
<v Speaker 5>into what was the traditional sixty forty portfolio? What do

0:19:33.440 --> 0:19:36.399
<v Speaker 5>you think the allocation to alternatives can be should be?

0:19:36.560 --> 0:19:36.960
<v Speaker 4>Maybe?

0:19:37.440 --> 0:19:39.600
<v Speaker 8>Yeah, I think that is a question, particularly when you

0:19:39.640 --> 0:19:42.520
<v Speaker 8>think about wealth investors that everyone is asking you think

0:19:42.520 --> 0:19:46.440
<v Speaker 8>about the traditional sixty forty portfolio. Particularly in today's environment,

0:19:46.520 --> 0:19:48.760
<v Speaker 8>you're not gaining the benefits of a lot of diversification,

0:19:49.000 --> 0:19:50.080
<v Speaker 8>particularly when you look at the.

0:19:50.000 --> 0:19:52.399
<v Speaker 6>Correlation of the largest drivers of the S and P.

0:19:53.400 --> 0:19:56.280
<v Speaker 8>One of the benefits of alternatives and infrastructure, and particularly

0:19:56.320 --> 0:20:00.879
<v Speaker 8>infrastructure is the low correlation to public equity. It's about

0:20:01.240 --> 0:20:05.960
<v Speaker 8>one point five correlations, so you naturally get the diversification benefits.

0:20:06.240 --> 0:20:10.520
<v Speaker 8>Will you currently see around ten percent of wealth client

0:20:10.600 --> 0:20:15.280
<v Speaker 8>portfolios in alternatives? Many are calling that number to reach

0:20:15.359 --> 0:20:16.800
<v Speaker 8>up to twenty or twenty five percent.

0:20:16.840 --> 0:20:20.040
<v Speaker 2>Okay, I get it. But like you mentioned, what was

0:20:20.080 --> 0:20:22.760
<v Speaker 2>the airport in England? You have two airports in England.

0:20:22.560 --> 0:20:23.760
<v Speaker 8>The Birmingham and Bristol.

0:20:23.840 --> 0:20:26.560
<v Speaker 3>Okay, so I want to go long Birmingham aviation.

0:20:27.119 --> 0:20:29.639
<v Speaker 2>Am I buying a piece of the airport with a

0:20:29.680 --> 0:20:32.600
<v Speaker 2>predictable cash flow or is it just buying the debt

0:20:33.280 --> 0:20:34.280
<v Speaker 2>that built the airport.

0:20:34.560 --> 0:20:37.159
<v Speaker 8>That is a great question and the answers you can

0:20:37.240 --> 0:20:40.200
<v Speaker 8>do that both ways. And so at Macquarie we offer

0:20:40.280 --> 0:20:44.920
<v Speaker 8>both infrastructure equity portfolios as well as infrastructure debt portfolios.

0:20:44.960 --> 0:20:48.080
<v Speaker 8>And that's a decision that you would make based on

0:20:48.640 --> 0:20:51.160
<v Speaker 8>the funds that you ultimately choose to invest in.

0:20:51.200 --> 0:20:55.000
<v Speaker 2>Return to surveillance aviation correspondent Paul Sweening, would you go

0:20:55.119 --> 0:20:55.840
<v Speaker 2>long Newark?

0:20:56.560 --> 0:20:59.000
<v Speaker 3>Do you do a piece of terminal at.

0:21:00.119 --> 0:21:03.320
<v Speaker 5>Wonders with terminal A making the uber experience infinitely better

0:21:03.320 --> 0:21:07.240
<v Speaker 5>than was a terminal C. So Kimberly, where is we've

0:21:07.280 --> 0:21:10.040
<v Speaker 5>got a lower interest rate environment presumably coming into us.

0:21:10.080 --> 0:21:13.240
<v Speaker 5>What does that mean for your side of the business.

0:21:13.840 --> 0:21:15.919
<v Speaker 8>Yeah, so when you think about infrastructure and where it

0:21:15.920 --> 0:21:18.960
<v Speaker 8>fits in a portfolio. But I think that's interesting about

0:21:18.960 --> 0:21:22.080
<v Speaker 8>the asset class is it has many of these. It

0:21:22.119 --> 0:21:23.600
<v Speaker 8>has what I would like to consider sort of the

0:21:23.680 --> 0:21:26.800
<v Speaker 8>characteristics of both an income and growth sort of stock

0:21:26.920 --> 0:21:30.080
<v Speaker 8>on the public market side. And so in theory, what's

0:21:30.080 --> 0:21:33.119
<v Speaker 8>great about the asset class is it provides ballast in

0:21:33.160 --> 0:21:37.040
<v Speaker 8>a portfolio through all market cycles, periods of higher interest

0:21:37.080 --> 0:21:41.840
<v Speaker 8>rates or lower lower interest rates because of the resiliency

0:21:42.080 --> 0:21:46.280
<v Speaker 8>that is built into infrastructure essential assets. Thinking about your airport,

0:21:46.320 --> 0:21:49.959
<v Speaker 8>regardless of the market environment, people are traveling, airports are

0:21:50.040 --> 0:21:53.920
<v Speaker 8>essential and so you're getting that downside protection through full

0:21:53.920 --> 0:21:54.640
<v Speaker 8>market cycles.

0:21:54.880 --> 0:21:57.600
<v Speaker 2>So the build out a Heathrow just as one example

0:21:57.600 --> 0:22:00.680
<v Speaker 2>where there's a Paul total cow out the fourth or

0:22:00.680 --> 0:22:03.800
<v Speaker 2>fifth or sixth runway I can't remember right now. Are

0:22:03.840 --> 0:22:07.919
<v Speaker 2>people like mcquarios are like a bidding war to finance

0:22:08.040 --> 0:22:08.960
<v Speaker 2>the future.

0:22:08.600 --> 0:22:11.320
<v Speaker 3>Of Heathrow or JFK or LAX?

0:22:11.680 --> 0:22:14.360
<v Speaker 2>I mean, is it like a fever pitch to do

0:22:14.480 --> 0:22:15.879
<v Speaker 2>financing of runways?

0:22:16.520 --> 0:22:17.560
<v Speaker 6>So I think a couple of things.

0:22:17.600 --> 0:22:21.160
<v Speaker 8>It is a very specialized skill set and there are

0:22:21.200 --> 0:22:24.880
<v Speaker 8>only a few managers and firms out there that have

0:22:24.960 --> 0:22:27.679
<v Speaker 8>that skill set. And that goes back to having local

0:22:27.720 --> 0:22:31.760
<v Speaker 8>teams in these markets that partner with municipalities with governments

0:22:32.000 --> 0:22:34.760
<v Speaker 8>to help them with their needs. As a firm like Macquarie,

0:22:34.760 --> 0:22:37.360
<v Speaker 8>we get the benefit of having those local relationships. We're

0:22:37.400 --> 0:22:40.639
<v Speaker 8>often a first call provider in guidance on how to

0:22:40.680 --> 0:22:45.600
<v Speaker 8>think about those really important infrastructure projects to the future

0:22:45.680 --> 0:22:47.280
<v Speaker 8>of you know, the economies that they're serving.

0:22:47.960 --> 0:22:50.639
<v Speaker 5>How are we going to fund all these data centers

0:22:50.680 --> 0:22:52.600
<v Speaker 5>that we keep hearing all these companies in their earnings

0:22:52.640 --> 0:22:56.000
<v Speaker 5>conference calls and I'm spending billions here, I'm spending billions there.

0:22:56.640 --> 0:22:58.080
<v Speaker 5>How do you think this is going to be finance

0:22:58.160 --> 0:23:00.840
<v Speaker 5>public private? How's it going to be done?

0:23:01.280 --> 0:23:03.360
<v Speaker 8>I think you're seeing it happening both ways. I think

0:23:03.359 --> 0:23:06.520
<v Speaker 8>you're seeing the private markets have been incredibly important to

0:23:06.560 --> 0:23:08.879
<v Speaker 8>the funding and building of data centers. You might have

0:23:08.960 --> 0:23:12.520
<v Speaker 8>recently seen the sale of Aligned Data Centers, for which

0:23:12.560 --> 0:23:16.520
<v Speaker 8>Macquarie led that sale, realizing a forty billion dollar enterprise

0:23:16.640 --> 0:23:19.280
<v Speaker 8>value on behalf of our LPs. And the reality is

0:23:19.320 --> 0:23:21.119
<v Speaker 8>you're going to see more and more of these types

0:23:21.160 --> 0:23:24.800
<v Speaker 8>of deals where firms are coming in, buying them, developing them,

0:23:24.840 --> 0:23:26.639
<v Speaker 8>and then looking to sell them, both on the public

0:23:26.680 --> 0:23:28.080
<v Speaker 8>side as well as on the private side.

0:23:28.119 --> 0:23:30.680
<v Speaker 2>So who are your clients then, is it high net

0:23:30.680 --> 0:23:33.800
<v Speaker 2>worth or is it institutions where they say we want

0:23:33.800 --> 0:23:36.600
<v Speaker 2>a piece of the burming.

0:23:36.320 --> 0:23:37.000
<v Speaker 3>A of airport.

0:23:37.320 --> 0:23:37.800
<v Speaker 6>It's both.

0:23:38.280 --> 0:23:41.440
<v Speaker 8>So historically our clients were institutional and that was really

0:23:41.480 --> 0:23:44.640
<v Speaker 8>the case for infrastructure in general. In recent years, due

0:23:44.640 --> 0:23:48.760
<v Speaker 8>to a number of trends, more and more wealth investors

0:23:48.800 --> 0:23:52.600
<v Speaker 8>want access to the same portfolio benefits that infrastructure brings

0:23:52.640 --> 0:23:55.439
<v Speaker 8>as our institutional clients. So the answer today is both,

0:23:55.720 --> 0:23:59.520
<v Speaker 8>and we are committed to continuing to create opportunities for

0:23:59.560 --> 0:24:02.359
<v Speaker 8>the wealth's to access those same high quality portfolios.

0:24:02.480 --> 0:24:05.439
<v Speaker 2>You have a modeled yield, I mean, is there like

0:24:05.760 --> 0:24:09.040
<v Speaker 2>can you say infrastructure picks up two percentage points two

0:24:09.119 --> 0:24:10.480
<v Speaker 2>hundred beeps over whatever?

0:24:10.640 --> 0:24:12.960
<v Speaker 3>I mean, is there a structure to it? Is there

0:24:13.040 --> 0:24:14.720
<v Speaker 3>every deal like custom made?

0:24:15.359 --> 0:24:19.359
<v Speaker 8>So in our mind, every deal has each deal is

0:24:19.359 --> 0:24:21.800
<v Speaker 8>structured on a deal by deal basis, and so in

0:24:21.840 --> 0:24:24.240
<v Speaker 8>some of our more diversified portfolios, you're looking at a

0:24:24.280 --> 0:24:26.959
<v Speaker 8>three to five percent yield, But it really depends on

0:24:27.080 --> 0:24:30.280
<v Speaker 8>the objective of the portfolio and how yield plays into

0:24:31.119 --> 0:24:33.920
<v Speaker 8>into how we structure the assets. But I would say

0:24:33.920 --> 0:24:35.760
<v Speaker 8>that is more of a deal by deal question.

0:24:36.280 --> 0:24:37.639
<v Speaker 3>Can you fix Uber.

0:24:37.400 --> 0:24:41.240
<v Speaker 2>At JFKI or fix that?

0:24:42.160 --> 0:24:43.000
<v Speaker 3>Just speaking for a.

0:24:43.000 --> 0:24:46.080
<v Speaker 8>Friend, if we could, I would speaking for a friend

0:24:46.080 --> 0:24:46.520
<v Speaker 8>as well.

0:24:47.800 --> 0:24:50.119
<v Speaker 2>Though there was almost a fistfight on a bus at

0:24:50.200 --> 0:24:52.280
<v Speaker 2>JFK like four or five months ago.

0:24:52.400 --> 0:24:54.600
<v Speaker 3>Yeah, somebody was so many airports get it.

0:24:54.640 --> 0:24:56.480
<v Speaker 5>Though they get it, it's so much better.

0:24:56.880 --> 0:24:59.879
<v Speaker 2>And I think that no, no, if they forced me

0:24:59.920 --> 0:25:02.439
<v Speaker 2>to go on a bus to get to Uber, because

0:25:02.480 --> 0:25:04.240
<v Speaker 2>the Bellley was down, so I had to take.

0:25:04.119 --> 0:25:07.359
<v Speaker 5>Uber and you know there there Francine had the Gulf Stream,

0:25:07.480 --> 0:25:08.760
<v Speaker 5>so he had to fly commercial.

0:25:11.080 --> 0:25:13.320
<v Speaker 8>I think you're hitting on one of the key themes right,

0:25:13.400 --> 0:25:16.879
<v Speaker 8>there's there's an incessant need to improve our infrastructure in

0:25:16.920 --> 0:25:19.240
<v Speaker 8>all areas, whether it is airports, whether it is to

0:25:19.520 --> 0:25:20.880
<v Speaker 8>power on the data center side.

0:25:21.080 --> 0:25:23.720
<v Speaker 2>I don't mean to be stay partway, but did Macquarie

0:25:23.840 --> 0:25:28.600
<v Speaker 2>Infrastructure pave fifty ninth Street in Manhattan here in the

0:25:28.640 --> 0:25:32.080
<v Speaker 2>last thirty days? Were you involved in that transaction? Is

0:25:32.119 --> 0:25:33.960
<v Speaker 2>an alternative.

0:25:33.200 --> 0:25:35.480
<v Speaker 6>Advestments not that I'm aware of.

0:25:36.560 --> 0:25:41.680
<v Speaker 3>I never thought fifty ninth Street would be repaved. No ever. Kimberly,

0:25:41.720 --> 0:25:42.880
<v Speaker 3>this is Kimberly LaPoint.

0:25:42.920 --> 0:25:45.560
<v Speaker 2>Thank you so much at it Wealth and Potholes and

0:25:45.640 --> 0:25:47.439
<v Speaker 2>mccays that management, Thank.

0:25:47.320 --> 0:25:48.680
<v Speaker 3>You so much. Stay with us.

0:25:48.920 --> 0:25:59.240
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:25:59.240 --> 0:26:02.720
<v Speaker 1>This is the Blue Bomberg Surveillance Podcast. Listen live each

0:26:02.760 --> 0:26:05.800
<v Speaker 1>weekday starting at seven am Eastern on Apple Coarplay and

0:26:05.800 --> 0:26:08.800
<v Speaker 1>Android Auto with the Bloomberg Business app. You can also

0:26:08.920 --> 0:26:12.600
<v Speaker 1>listen live on Amazon Alexa from our flagship New York station,

0:26:13.119 --> 0:26:16.240
<v Speaker 1>Just say Alexa Play Bloomberg eleven thirty joining.

0:26:16.080 --> 0:26:18.719
<v Speaker 2>Us right now, so I have joins a senior vice president,

0:26:18.760 --> 0:26:23.639
<v Speaker 2>chief econdomist caitality with a shutdown ending like do you

0:26:23.680 --> 0:26:26.960
<v Speaker 2>rechange the Excel spreadsheet in twenty four hours or how

0:26:27.000 --> 0:26:27.800
<v Speaker 2>long out.

0:26:27.640 --> 0:26:29.720
<v Speaker 3>Do you have to wait to get a cautality view.

0:26:30.640 --> 0:26:33.720
<v Speaker 9>Well, I mean we have pretty much data daily, so

0:26:33.720 --> 0:26:39.080
<v Speaker 9>we track mostly property property market and so we track

0:26:39.800 --> 0:26:43.919
<v Speaker 9>home transaction data. So we've been having a finger on

0:26:43.960 --> 0:26:47.360
<v Speaker 9>a pole. So we did see some slow down, particularly

0:26:47.400 --> 0:26:53.119
<v Speaker 9>in areas of where you needed a government approval, you know,

0:26:53.480 --> 0:26:58.199
<v Speaker 9>think about flood insurance and things like that. So you know,

0:26:58.280 --> 0:27:00.199
<v Speaker 9>so we do have a finger on a pole in

0:27:00.240 --> 0:27:00.760
<v Speaker 9>that sense.

0:27:01.240 --> 0:27:04.159
<v Speaker 5>All right, I've got the Mortgage Bankers Association thirty year

0:27:04.240 --> 0:27:07.720
<v Speaker 5>fixed mortgage six point three four percent higher than it's

0:27:07.720 --> 0:27:09.240
<v Speaker 5>been over the last fifteen years, but it's.

0:27:09.240 --> 0:27:11.000
<v Speaker 3>Much lower than it was earlier this year.

0:27:11.680 --> 0:27:15.480
<v Speaker 5>What's the rate that would get John Tucker out of

0:27:15.520 --> 0:27:17.040
<v Speaker 5>his house and say I'm going to sell my house

0:27:17.080 --> 0:27:19.480
<v Speaker 5>and move to Floridaca is now the mortgage it's not

0:27:19.600 --> 0:27:20.040
<v Speaker 5>so bad?

0:27:20.400 --> 0:27:22.800
<v Speaker 9>Yeah, I mean that's been the magical question, the million

0:27:22.840 --> 0:27:25.119
<v Speaker 9>dollar question. And I don't know that we have a

0:27:25.160 --> 0:27:28.159
<v Speaker 9>true answer to that simply because you know, it's very

0:27:28.240 --> 0:27:31.639
<v Speaker 9>unrealistic to expect something in low fives, you know, and

0:27:31.680 --> 0:27:34.240
<v Speaker 9>I think that's what does change the market. But what

0:27:34.280 --> 0:27:37.520
<v Speaker 9>we have seen over the course of last year, especially

0:27:37.600 --> 0:27:40.720
<v Speaker 9>with this volatility in mortgage es, is that people react

0:27:40.840 --> 0:27:43.280
<v Speaker 9>as soon as mortgage ms come down. So you had

0:27:43.280 --> 0:27:46.520
<v Speaker 9>a couple periods in September or October when mortgage it's

0:27:46.560 --> 0:27:49.320
<v Speaker 9>were down to six point one, and you definitely saw

0:27:49.800 --> 0:27:54.240
<v Speaker 9>both in refy space and purchase space buyers coming off

0:27:54.280 --> 0:27:55.160
<v Speaker 9>of the sidelines.

0:27:55.280 --> 0:27:58.600
<v Speaker 2>I have a memory of Peter Lynch years ago going ballistic,

0:27:58.640 --> 0:28:00.480
<v Speaker 2>and I'm sure it was this team that doing the

0:28:00.520 --> 0:28:04.600
<v Speaker 2>math over the perceived return on real estate of eight

0:28:04.760 --> 0:28:07.840
<v Speaker 2>nine percent per year, and the study I believe it

0:28:07.880 --> 0:28:09.679
<v Speaker 2>was a fidelity at the time is no, it's.

0:28:09.600 --> 0:28:12.600
<v Speaker 3>Low single digit. Are we reverting to that?

0:28:12.800 --> 0:28:16.040
<v Speaker 2>Are we going from I'm going to make a fortune

0:28:16.040 --> 0:28:20.159
<v Speaker 2>in Coral Gables, Florida to the reality of a slow crawl?

0:28:20.520 --> 0:28:21.160
<v Speaker 3>Absolutely?

0:28:21.200 --> 0:28:23.960
<v Speaker 9>I mean really, historically it's been four to five percent

0:28:24.560 --> 0:28:27.800
<v Speaker 9>average return, And it really depends when you buy. You know,

0:28:27.920 --> 0:28:30.399
<v Speaker 9>are you buying in two thousand and four, are you

0:28:30.440 --> 0:28:33.080
<v Speaker 9>buying in twenty twenty three? It depends when you buy,

0:28:33.200 --> 0:28:36.719
<v Speaker 9>and so your return obviously is going to really depend

0:28:36.720 --> 0:28:37.000
<v Speaker 9>on that.

0:28:37.400 --> 0:28:41.040
<v Speaker 3>Joining us now, Paul Sweeney, were the one percent mortgage exactly?

0:28:41.400 --> 0:28:43.720
<v Speaker 5>Or if you sell all your real estate during a pandemic,

0:28:43.840 --> 0:28:45.160
<v Speaker 5>that's also a good time to sell.

0:28:45.800 --> 0:28:47.320
<v Speaker 3>Talk to us about new home buyers.

0:28:47.320 --> 0:28:51.400
<v Speaker 5>It seems like home affordability is just it's just brutal

0:28:51.440 --> 0:28:53.520
<v Speaker 5>for the young folks. I mean that cost of housing

0:28:53.800 --> 0:28:56.240
<v Speaker 5>is up fifty percent or since the beginning of the

0:28:56.400 --> 0:28:57.520
<v Speaker 5>since before the pandemic.

0:28:58.080 --> 0:28:59.080
<v Speaker 3>Mortgage rates are higher.

0:28:59.200 --> 0:29:01.960
<v Speaker 5>It seems like affordability is just out of reach for

0:29:02.000 --> 0:29:02.840
<v Speaker 5>a lot of folks.

0:29:03.160 --> 0:29:06.480
<v Speaker 3>Does that change over time? Is that just the new normal?

0:29:06.920 --> 0:29:09.200
<v Speaker 9>I think it does change, but it's a very slow

0:29:09.200 --> 0:29:13.760
<v Speaker 9>moving process. It's been painfully slow. We have seen some improvements.

0:29:13.840 --> 0:29:16.440
<v Speaker 9>You talked about mortgage it's being slightly lower, you know.

0:29:16.480 --> 0:29:19.240
<v Speaker 9>We see a slower rate of home press appreciation. Home

0:29:19.240 --> 0:29:22.680
<v Speaker 9>press isn't only up about one percent over the course

0:29:22.680 --> 0:29:25.480
<v Speaker 9>of last year, and when you adjust for inflation, they've

0:29:25.520 --> 0:29:30.280
<v Speaker 9>actually declined, right, and wages are up at a higher pace.

0:29:30.440 --> 0:29:34.640
<v Speaker 9>So you are slowly, painfully gaining some of that affordability

0:29:34.680 --> 0:29:35.120
<v Speaker 9>over time.

0:29:35.240 --> 0:29:38.800
<v Speaker 2>Okay, Can I editorialize here. Paul, sure, I think that

0:29:39.360 --> 0:29:42.840
<v Speaker 2>I talked to my kids about this. We went into homes.

0:29:43.040 --> 0:29:45.720
<v Speaker 2>Can I remember my grandmother's home and had water in

0:29:45.760 --> 0:29:49.720
<v Speaker 2>the kitchen, But we had homes that were relatively simple.

0:29:50.240 --> 0:29:53.160
<v Speaker 2>The kids now when they're out looking for homes, you know,

0:29:53.240 --> 0:29:56.400
<v Speaker 2>forget about granite countertops. They're looking for they want to

0:29:56.600 --> 0:29:58.760
<v Speaker 2>they want a kitchen like John Tucker exactly.

0:29:59.200 --> 0:30:02.040
<v Speaker 3>I mean, the the home.

0:30:01.800 --> 0:30:05.160
<v Speaker 2>That we desire now is not the same as the

0:30:05.240 --> 0:30:09.080
<v Speaker 2>home that we desired in nineteen seventy five or nineteen

0:30:09.240 --> 0:30:10.040
<v Speaker 2>ninety five.

0:30:10.400 --> 0:30:13.760
<v Speaker 9>Right, absolutely, And construction costs has gone up a lot,

0:30:14.080 --> 0:30:17.160
<v Speaker 9>you know, because of that similar situation. When you think

0:30:17.200 --> 0:30:20.040
<v Speaker 9>about it, what's happening in auto market? Why are autos

0:30:20.080 --> 0:30:23.480
<v Speaker 9>so much more expensive now? Because everything is digitized? You know,

0:30:23.480 --> 0:30:26.360
<v Speaker 9>you have a little computer you're writing, and people want

0:30:26.400 --> 0:30:29.640
<v Speaker 9>to walk into a computer home, computerized home where everything

0:30:29.760 --> 0:30:30.720
<v Speaker 9>is taken care of.

0:30:30.960 --> 0:30:33.920
<v Speaker 2>I have the Nash Rambler out and Paul, they laugh

0:30:34.000 --> 0:30:35.480
<v Speaker 2>at me, Yeah, because it's.

0:30:35.320 --> 0:30:37.920
<v Speaker 3>Completely non digital, which you know, so they laugh at

0:30:37.920 --> 0:30:39.520
<v Speaker 3>you for a number of reasons.

0:30:39.280 --> 0:30:42.480
<v Speaker 5>Talk to us about just kind of are the markets

0:30:42.840 --> 0:30:46.400
<v Speaker 5>in this country where it's actually a decline, because it

0:30:46.480 --> 0:30:48.880
<v Speaker 5>just seems like when we the pandemic, everybody kind of

0:30:48.960 --> 0:30:51.160
<v Speaker 5>left some of the urban areas and we're going to

0:30:51.240 --> 0:30:54.040
<v Speaker 5>Florida and Texas and some of these Tennessee and some

0:30:54.080 --> 0:30:57.280
<v Speaker 5>of these lower cost states, maybe more Land More. Is

0:30:57.280 --> 0:31:00.960
<v Speaker 5>that still a story or is that those markets turned around?

0:31:01.280 --> 0:31:02.000
<v Speaker 6>Yeah, it is.

0:31:02.120 --> 0:31:05.360
<v Speaker 9>I mean it's a story of k shipped economy basically,

0:31:05.400 --> 0:31:07.000
<v Speaker 9>you know. I mean we see that in the housing

0:31:07.040 --> 0:31:09.120
<v Speaker 9>market as well. When you look at the map of

0:31:09.160 --> 0:31:12.480
<v Speaker 9>the US markets that are going up, or markets in Northeast,

0:31:12.560 --> 0:31:15.120
<v Speaker 9>markets that are going down, or markets in southeast and

0:31:15.160 --> 0:31:16.920
<v Speaker 9>then you have a mixed picture sort of on the

0:31:16.960 --> 0:31:21.000
<v Speaker 9>West coast, but a lot of it is slowed down

0:31:21.080 --> 0:31:24.600
<v Speaker 9>in in migration to those markets at Florida. You know,

0:31:24.680 --> 0:31:27.920
<v Speaker 9>WI is Florida. It's gone up the most and now

0:31:27.960 --> 0:31:32.000
<v Speaker 9>has seen the highest slowdown and so obviously, you know,

0:31:32.000 --> 0:31:33.400
<v Speaker 9>you have some resetting going on.

0:31:33.480 --> 0:31:35.560
<v Speaker 3>I mean, Paul, this is great, almost lived this.

0:31:36.240 --> 0:31:39.600
<v Speaker 2>She went to school at the University of Buffalow and

0:31:39.920 --> 0:31:41.600
<v Speaker 2>follow New York and.

0:31:41.480 --> 0:31:42.920
<v Speaker 3>You're in California now, right.

0:31:42.960 --> 0:31:47.800
<v Speaker 2>I am which which snowstorm in April made the decision

0:31:47.880 --> 0:31:48.160
<v Speaker 2>to go.

0:31:48.160 --> 0:31:50.000
<v Speaker 3>To California, all of them?

0:31:51.000 --> 0:31:53.520
<v Speaker 2>That's the right answer, Selah thank you, so I sell

0:31:53.600 --> 0:31:55.760
<v Speaker 2>I help with the senior vice president catality.

0:31:55.840 --> 0:31:57.000
<v Speaker 3>Here with the snap.

0:31:57.280 --> 0:32:02.080
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:32:02.200 --> 0:32:06.480
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:32:06.600 --> 0:32:10.080
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0:32:10.160 --> 0:32:14.200
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0:32:14.200 --> 0:32:17.600
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0:32:17.800 --> 0:32:19.520
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