WEBVTT - Shutdown, Fed, Amazon, and Real Estate

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller.

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<v Speaker 2>Every business day, we bring you interviews from CEOs, market pros,

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<v Speaker 2>and Bloomberg experts, along with essential market moven news.

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<v Speaker 1>Find the Bloomberg Markets Podcast on Apple Podcasts or wherever

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<v Speaker 1>you listen to podcasts, and at Bloomberg dot com slash podcast.

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<v Speaker 1>And let's get figure out what's happening now in Washington, DC,

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<v Speaker 1>because they have no idea what's going on down there.

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<v Speaker 1>They're not even back like in session. I mean they're

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<v Speaker 1>coming back tomorrow. I mean, the government's about the shutdown

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<v Speaker 1>and they're still on some holiday.

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<v Speaker 2>I think it's very popular in Washington, d C. To

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<v Speaker 2>not do your job, right. I think that's what the

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<v Speaker 2>constituency wants.

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<v Speaker 1>You think, So it seems like it all right. Nathan Dean,

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<v Speaker 1>I'm gonna blame him for all this. Nathan Dean is

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<v Speaker 1>our senior US policy analyst for Bloomberg Intelligence. His job

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<v Speaker 1>is to make sure this government works. He's not getting

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<v Speaker 1>it done here. Nathan, talk to us about where we

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<v Speaker 1>are with this possible shutdown. What's the feeling in Washington,

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<v Speaker 1>DC these days?

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<v Speaker 3>Yeah?

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<v Speaker 4>You know, over the weekend, you know, Speaker of the

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<v Speaker 4>House Kevin McCarthy talked about trying to pass for appropriation bills.

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<v Speaker 4>You know, there's been talk about some Republicans bypassing the

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<v Speaker 4>Speaker and working with Democrats to do something called a

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<v Speaker 4>discharge petition. But if you're sitting in New York City,

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<v Speaker 4>all you need to know is is that nothing really

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<v Speaker 4>has changed. I mean, we're heading towards the shutdown Saturday night.

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<v Speaker 4>You know, there's a lot of political fireworks that have

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<v Speaker 4>to happen this week, but we just aren't seeing any

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<v Speaker 4>movement at this point that the Speaker wants to actually

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<v Speaker 4>do a deal with the Democrats and try and avoid

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<v Speaker 4>this type of situation. So I think we're probably around

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<v Speaker 4>seventy eighty percent chance and we're gonna.

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<v Speaker 5>Have a shutdown next week.

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<v Speaker 1>So Nathan is the choice for the speaker. I'm assuming,

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<v Speaker 1>you know, Speaker McCarthy's is kind of driving the bus.

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<v Speaker 1>Here is this choice, I do a deal with these

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<v Speaker 1>radical Republicans, these small group Republicans, or I reach across

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<v Speaker 1>the aisle to Democrats and deal with the political backlash.

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<v Speaker 1>There is that his choice.

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<v Speaker 2>At this point, there's no deal to be done with

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<v Speaker 2>the radical Republicans. They want to shut down the government, right,

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<v Speaker 2>Isn't that yes what they want?

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<v Speaker 4>It's so much more of like, do I actually ask

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<v Speaker 4>to the radical Republicans and then shut down the government

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<v Speaker 4>and then get to a point where the Democrats just say, look,

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<v Speaker 4>we're not going to deal. I mean, the odds of

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<v Speaker 4>what the Republicans, some of those conservative Republicans are wanting,

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<v Speaker 4>are less than a two percent chance of ever going

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<v Speaker 4>to become law.

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<v Speaker 5>And that's being grateful.

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<v Speaker 4>So Speaker McCarthy's choice here is essentially saying, look, do

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<v Speaker 4>I go through the motions of a government shutdown and

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<v Speaker 4>then do I deal with the Democrats? Or do I

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<v Speaker 4>deal with the Democrats now and get it over with? Ultimately,

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<v Speaker 4>this is ending with a deal with the Democrats. And

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<v Speaker 4>so I think from the Speaker's perspective, really what he

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<v Speaker 4>has to do here is he has to do this deal,

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<v Speaker 4>but he has to do it in a way that

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<v Speaker 4>saves him face. Look, he's got to be showing that

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<v Speaker 4>he's fighting for his ideals and so forth like that,

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<v Speaker 4>And that's why I think he's going to accept the

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<v Speaker 4>government shutdown if he makes a deal before then I

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<v Speaker 4>think there are those people that are seeking to oust

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<v Speaker 4>him get a little bit more ammunition, saying, look, he

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<v Speaker 4>didn't even fight, so let's just kick him out. So

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<v Speaker 4>I think speaker, I think the speaker's just playing a

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<v Speaker 4>little bit of what if scenario NELS is here, But

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<v Speaker 4>I think he's just going to say, look, we got

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<v Speaker 4>to do this after sometime next week, after the shutdown.

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<v Speaker 2>By the way, is it do we call them conservatives

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<v Speaker 2>because they don't really act like that?

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<v Speaker 6>Do we that the Freedom Club people? Nathan?

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<v Speaker 2>I mean, they're not exactly acting like Ronald Reagan or

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<v Speaker 2>George H. W.

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<v Speaker 6>Bush. It's more like, I don't know what word you use.

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<v Speaker 2>How do you describe that other than you know, radical populists.

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<v Speaker 4>Well, you know, I could say somebody is a conservative Washington,

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<v Speaker 4>and I'll get one hundred different answers what that means.

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<v Speaker 4>But you know, ultimately what's going to happen here is

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<v Speaker 4>it's the House Freedom Caucus. There's about fifteen or so members,

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<v Speaker 4>maybe as much as twenty. But I would also point

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<v Speaker 4>out that there's also another caucus called the House Problem

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<v Speaker 4>Solvers Caucus. And one of the things that they're trying

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<v Speaker 4>to do, and we've heard whispers on this is that

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<v Speaker 4>there's about six of them. It would take six of

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<v Speaker 4>them to say, look, I'm going to bypass Speaker. I'm

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<v Speaker 4>going to work with the Democrats on something called the

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<v Speaker 4>discharge petition, where I can actually overrule the Speaker. We'll

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<v Speaker 4>have the Democrats have control of the floor. They'll make

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<v Speaker 4>the deal. Now, I don't think Speaker McCarthy would be

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<v Speaker 4>all that upset with it. Look, I mean, look, you

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<v Speaker 4>could say, look, this is horrible that they're taking me

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<v Speaker 4>my power, you know, so forth like that, but also

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<v Speaker 4>as a get out of jail card free for you know,

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<v Speaker 4>free get out of jail free card for him. So

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<v Speaker 4>you know, I think what the Speaker is doing at

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<v Speaker 4>this moment is just saying, look, I've got these people

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<v Speaker 4>over here that want this. This is never going to happen.

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<v Speaker 4>I got over here this idea of working with the Democrats,

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<v Speaker 4>which I know eventually will happen, But I just can't

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<v Speaker 4>go out there and say.

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<v Speaker 6>I'm ready to do it just yet.

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<v Speaker 4>So unfortunately, you know, it's the people that are going

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<v Speaker 4>to be stuck at you know, the American people are

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<v Speaker 4>going to suffer a little bit because of this.

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<v Speaker 1>I mean, this seems from like, I don't know anything

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<v Speaker 1>about politics and political calculus, but this seems like a

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<v Speaker 1>disaster for the Republican Party. How does the leadership allow A?

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<v Speaker 1>Is it a disaster? And B? How would the leadership

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<v Speaker 1>at the Republican Party allow this to happen?

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<v Speaker 4>Well, you know, it's not like they can come out

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<v Speaker 4>and just wave their wand and say do as I say.

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<v Speaker 4>I mean that, you know, the speaker McCarthy's.

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<v Speaker 1>But we have whips and majority leaders and things like that.

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<v Speaker 2>You know, if the party has fallen apart, you know,

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<v Speaker 2>if they've lost their minds, then all right, But I'll.

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<v Speaker 6>Say, but then you can't control them, right, I mean.

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<v Speaker 4>But if they also make a deal within the next

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<v Speaker 4>two weeks or so, we won't be talking about this

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<v Speaker 4>come January. We'll be talking about you know, the presidential

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<v Speaker 4>election cycle.

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<v Speaker 7>And so forth.

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<v Speaker 4>So there are people out there that say, look, shutdowns

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<v Speaker 4>will be negative for the party that cause it, in

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<v Speaker 4>this case would be the Republicans. But the independent voter's

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<v Speaker 4>mindset is sort of short term, and per your inflation

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<v Speaker 4>talk prior to this segment, you know, inflation may be

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<v Speaker 4>around in January, and that may be the big ticket

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<v Speaker 4>so there are some saying, look, shutdowns are bad, but

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<v Speaker 4>you know how much of a political price we're gonna

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<v Speaker 4>have to pay? Maybe not so much.

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<v Speaker 5>It's a good point.

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<v Speaker 2>It's a good point by but Nathan, let me get

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<v Speaker 2>your takes of inflation on the UAW and President Biden,

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<v Speaker 2>Oh yeah, going there, which I think is I mean,

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<v Speaker 2>such an exciting story because I love the car makers

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<v Speaker 2>and now you've got these one hundred and fifty thousand

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<v Speaker 2>workers that are potentially going to make a lot more money.

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<v Speaker 6>It's inflationary.

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<v Speaker 2>President Biden says he's pro union, but he's also super

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<v Speaker 2>pro green transition and EVS, which the union feels is

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<v Speaker 2>in some ways is like their enemy.

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<v Speaker 6>How do you look at that whole situation?

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<v Speaker 2>Can he does he have the vitality to go and

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<v Speaker 2>stand on a picket line.

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<v Speaker 6>I'm just for me.

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<v Speaker 4>This is all about Michigan. I mean, he needs Michigan

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<v Speaker 4>to win reelection, and going to that picket line is

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<v Speaker 4>just way to say that. Look, Michigan is one of

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<v Speaker 4>those five or six states that I need. Going there

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<v Speaker 4>is just to make sure that President Trump doesn't steal

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<v Speaker 4>the press cycle by him going there. So you know

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<v Speaker 4>the actions of President Biden actually walking the picket line

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<v Speaker 4>and so forth like that. This was a political call.

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<v Speaker 4>I'm not sure how much impact. You know, I haven't

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<v Speaker 4>looked at the impact of how it would impact the

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<v Speaker 4>UAW negotiations.

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<v Speaker 7>But this was an easy call for him.

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<v Speaker 4>To make because if he doesn't go there, President Trump

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<v Speaker 4>was going to go there. Other Republican candidates would go

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<v Speaker 4>there in one of your key states would be you know,

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<v Speaker 4>you wouldn't actually be in one of those key states

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<v Speaker 4>that you need.

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<v Speaker 2>It'll be tough, though, if some of the workers on

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<v Speaker 2>the picket line say, hey, Joe, what's with the billions

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<v Speaker 2>of dollars in subsidies for electric vehicle transitions.

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<v Speaker 4>Absolutely, I mean, you know, he's going to have a

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<v Speaker 4>tough time talking to this. But you know, President Biden

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<v Speaker 4>also claims to be the most pro union president ever Scranton, Pennsylvania,

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<v Speaker 4>and this is something so I wouldn't put it past

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<v Speaker 4>him to be able to rely on some of the

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<v Speaker 4>institutional knowledge he's had over those seven years, seventy years

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<v Speaker 4>to try and go forth and you know, at least

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<v Speaker 4>get some talking points out of there. So I don't

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<v Speaker 4>think it's going to be that much impactful in the

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<v Speaker 4>way of the negotiations. But again it's a symbolic gesture

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<v Speaker 4>that he needs to ensure that he wins the rust

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<v Speaker 4>belts come twenty twenty four, because that in Arizona and

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<v Speaker 4>Nevada are going to be pretty much all the states

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<v Speaker 4>that matter going into this election.

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<v Speaker 1>So is it expectation in DC? We're getting off topic

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<v Speaker 1>a little bit. It's going to be Biden for the

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<v Speaker 1>Democratic Party. Is or any credible discussion otherwise?

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<v Speaker 8>No.

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<v Speaker 4>I mean, look, we're three months away from a primary process,

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<v Speaker 4>and if President Biden were to stand up and say, look,

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<v Speaker 4>I'm not going to run for president, you know who

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<v Speaker 4>would take his place? Obviously have Vice President Kamala Harris.

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<v Speaker 4>But you know Vice President Harris was the first one

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<v Speaker 4>to bow out in the twenty you know, in the

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<v Speaker 4>prior election. That person doesn't automatically get the party's mantle.

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<v Speaker 4>So if President Biden were to say today I'm not running,

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<v Speaker 4>you would kick off a chaotic process in which the

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<v Speaker 4>Democrats would be completely on you know, disjointed, and there'd

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<v Speaker 4>be a really fast paced fight to try and see

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<v Speaker 4>who can win. Governor Newsom, probably Governor Pritzker from Illinois,

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<v Speaker 4>for example. It would just be very chaotic. So I

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<v Speaker 4>really don't see President Biden saying that he's done.

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<v Speaker 5>I think he's in this for the long bow.

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<v Speaker 1>All right, Nathan, thanks so much for joining us. We

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<v Speaker 1>can go a million ways with you. You've always got

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<v Speaker 1>everything on topic. Nathan Deane, Senior Polo Saneles for the

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<v Speaker 1>US government for Bloomberg Intelligence. He's based down in Washington,

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<v Speaker 1>d C. And he is our go to guy. So

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<v Speaker 1>there's a lot of balls in the air down in DC.

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<v Speaker 1>Most notably, is this government gonna shut down? And it

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<v Speaker 1>looks like appears at this stage at least that the

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<v Speaker 1>answer is probably yes.

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<v Speaker 9>You're listening to the Team Ken's are Live program Bloomberg

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<v Speaker 9>Markets weekdays at ten am Eastern on Bloomberg dot Com,

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<v Speaker 9>the iHeartRadio app, and the Bloomberg Business app, or listen

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<v Speaker 9>on demand wherever you get your podcasts.

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<v Speaker 1>You know, Matt, you might remember two or three months ago,

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<v Speaker 1>I took that whole recession talk off the table for me.

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<v Speaker 1>But you know what, this federal reserve higher for longer,

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<v Speaker 1>I don't know. I think they might run the risk

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<v Speaker 1>of pushing us into something that we don't really need.

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<v Speaker 1>So I'm going to talk to and ask a professional

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<v Speaker 1>about this. Lydia Bussor senior economists at e Y Parthenon. So,

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<v Speaker 1>Lydia was I a little bit early in taking the

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<v Speaker 1>recession talk off the table. Is this Federal Reserve with

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<v Speaker 1>its news or not new but continued effort to keep

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<v Speaker 1>rates higher for longer? Are they bringing that recession talk

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<v Speaker 1>back to the forefront?

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<v Speaker 8>Hi, thanks for having me. I mean the higher for

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<v Speaker 8>longer interest rate paradigm that the Federal Reserve strongly signaled

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<v Speaker 8>after the meeting, and with this new dot plot showing

0:10:24.800 --> 0:10:29.200
<v Speaker 8>interest rates remaining above five percent throughout next year, means

0:10:29.200 --> 0:10:31.280
<v Speaker 8>that you know, we're going to see we're going to

0:10:31.320 --> 0:10:34.920
<v Speaker 8>be in that higher interest rate environment for longer, higher

0:10:34.920 --> 0:10:37.600
<v Speaker 8>cost of capital, and that's going to be waiting on

0:10:37.640 --> 0:10:42.000
<v Speaker 8>spending decisions for consumers and businesses. I think this is

0:10:42.040 --> 0:10:44.800
<v Speaker 8>going to be an additional headwind for the economy. This

0:10:44.960 --> 0:10:48.560
<v Speaker 8>has already been impacting the economy, but we do believe

0:10:48.559 --> 0:10:51.240
<v Speaker 8>that there remains a pathway for a soft lending. I

0:10:51.280 --> 0:10:54.800
<v Speaker 8>think it's important to keep in mind that these higher

0:10:54.840 --> 0:10:58.199
<v Speaker 8>for longer interest rates are also reflection of a more

0:10:58.280 --> 0:11:02.800
<v Speaker 8>resilient and stronger economy and also expectations for that trend

0:11:02.920 --> 0:11:04.080
<v Speaker 8>to continue moving forward.

0:11:05.480 --> 0:11:08.640
<v Speaker 2>Well, first of all, Lydia, we just got a red

0:11:08.920 --> 0:11:14.440
<v Speaker 2>hot sticky headline crossing the terminal and on China and

0:11:14.480 --> 0:11:19.360
<v Speaker 2>the property issue there. So Evergrand Unit missed payment on

0:11:19.679 --> 0:11:23.840
<v Speaker 2>four billion you on Onshore bond. We've all been watching

0:11:24.400 --> 0:11:28.559
<v Speaker 2>the Chinese property sector again lately. Right, it looks worse

0:11:28.640 --> 0:11:34.120
<v Speaker 2>than feared previously, and the short lived boost it got

0:11:34.120 --> 0:11:38.480
<v Speaker 2>from the Chinese sort of stimulus activities is gone.

0:11:38.520 --> 0:11:39.520
<v Speaker 1>Now.

0:11:40.600 --> 0:11:42.000
<v Speaker 6>Is it possible that this.

0:11:42.000 --> 0:11:44.680
<v Speaker 2>Spreads around the world or is it contained to the

0:11:44.760 --> 0:11:45.640
<v Speaker 2>Chinese economy?

0:11:45.640 --> 0:11:45.960
<v Speaker 3>You think?

0:11:47.559 --> 0:11:50.040
<v Speaker 8>I mean, we believe that the China, the China, the

0:11:50.120 --> 0:11:53.320
<v Speaker 8>China's economic explow down has emerged as a top risk

0:11:53.400 --> 0:11:56.360
<v Speaker 8>for the global economy. When we look at the US

0:11:56.400 --> 0:12:00.840
<v Speaker 8>in particular, when you purely looked at the trailing and

0:12:00.960 --> 0:12:05.120
<v Speaker 8>financial linkages, they're fairly limited in terms of the US

0:12:05.160 --> 0:12:09.640
<v Speaker 8>exposure and looking at US exports to China. But when

0:12:09.679 --> 0:12:12.960
<v Speaker 8>you think about the impact on financial conditions and how

0:12:13.040 --> 0:12:16.720
<v Speaker 8>that could potentially lead to China growth care the way

0:12:16.760 --> 0:12:20.440
<v Speaker 8>we saw back in twenty fifteen twenty sixteen, that could

0:12:20.520 --> 0:12:23.080
<v Speaker 8>have an impact on confidence, and that could have an

0:12:23.120 --> 0:12:26.800
<v Speaker 8>impact on a more significant impact on the US economy. Now,

0:12:26.840 --> 0:12:29.720
<v Speaker 8>looking at the broader global economy, this is going to

0:12:29.760 --> 0:12:33.559
<v Speaker 8>have some ramification for economies that are more exposed, and

0:12:33.640 --> 0:12:37.000
<v Speaker 8>this is potentially leading also to a sharper economy slow

0:12:37.040 --> 0:12:37.880
<v Speaker 8>down globally, So.

0:12:37.920 --> 0:12:39.040
<v Speaker 6>Not the US, right Lydia.

0:12:39.200 --> 0:12:41.520
<v Speaker 2>When you say economies that are more exposed, I guess

0:12:41.520 --> 0:12:43.640
<v Speaker 2>you're talking more about Europe than America.

0:12:43.920 --> 0:12:47.520
<v Speaker 8>Europe is more exposed, but as I mentioned, the US,

0:12:48.040 --> 0:12:52.079
<v Speaker 8>the exposure is really through more through financial conditions and

0:12:52.320 --> 0:12:55.960
<v Speaker 8>a potential deeper global slowdown as some of the other

0:12:56.080 --> 0:12:58.400
<v Speaker 8>trade partners for the US get impacted as well.

0:12:59.200 --> 0:13:02.200
<v Speaker 1>Leading you back here in the US. One of the

0:13:02.240 --> 0:13:05.400
<v Speaker 1>real points of resilience in this iconomy has been the

0:13:05.480 --> 0:13:07.040
<v Speaker 1>labor market. And a lot of folks are kind of

0:13:07.040 --> 0:13:10.600
<v Speaker 1>confused about why this labor market is so strong, given

0:13:11.120 --> 0:13:13.640
<v Speaker 1>you know, the inflation editors are given the higher rates.

0:13:14.440 --> 0:13:16.360
<v Speaker 1>How do you view and how do you explain the

0:13:16.440 --> 0:13:17.600
<v Speaker 1>labor market to every one?

0:13:19.200 --> 0:13:22.640
<v Speaker 8>Yeah, I mean, we've seen some persistent tightness in the

0:13:22.679 --> 0:13:26.320
<v Speaker 8>label market and those lingering labor shortages in some sectors.

0:13:26.760 --> 0:13:29.320
<v Speaker 8>So a lot of that tightness that we have seen

0:13:29.400 --> 0:13:31.640
<v Speaker 8>is really tied to some of these post pandemic label

0:13:31.679 --> 0:13:34.640
<v Speaker 8>market dynamics. We've seen a lot of these locations during

0:13:34.640 --> 0:13:38.640
<v Speaker 8>the pandemic, and so what we're seeing today's companies essentially

0:13:38.920 --> 0:13:42.559
<v Speaker 8>holding on to the workforce, their talent that they really

0:13:42.600 --> 0:13:46.720
<v Speaker 8>had a hard time attracting and retaining over the past

0:13:46.720 --> 0:13:50.199
<v Speaker 8>two years. So we are seeing some labor hoarding. And

0:13:50.600 --> 0:13:52.640
<v Speaker 8>that is, you know, one of the reasons why even

0:13:52.679 --> 0:13:55.839
<v Speaker 8>though you're saying that rebalancing, even though you're saying labor

0:13:55.880 --> 0:13:59.400
<v Speaker 8>dement coming down, we haven't seen that a significant rising

0:13:59.480 --> 0:14:02.880
<v Speaker 8>layoff that you would expect in this environment of higher

0:14:02.960 --> 0:14:04.520
<v Speaker 8>interest rates.

0:14:04.800 --> 0:14:07.120
<v Speaker 2>In terms of the you know, the path to a

0:14:07.200 --> 0:14:09.640
<v Speaker 2>soft landing, you know, with all the risks that you

0:14:09.720 --> 0:14:15.200
<v Speaker 2>mentioned Lydia, and we've been you know, we've been listing

0:14:15.240 --> 0:14:19.280
<v Speaker 2>them here on Bloomberg Radio as well, from increased credit

0:14:19.320 --> 0:14:23.920
<v Speaker 2>card debt to delinquencies on those cards and on auto loans,

0:14:24.080 --> 0:14:28.760
<v Speaker 2>the return of student loan payments, higher oil and higher

0:14:28.800 --> 0:14:30.840
<v Speaker 2>gas prices at the pump.

0:14:31.960 --> 0:14:34.000
<v Speaker 6>What am I missing, Paul, No, those are all good.

0:14:34.400 --> 0:14:38.240
<v Speaker 2>I mean, it seems like the strike, the UAW strike

0:14:38.320 --> 0:14:41.160
<v Speaker 2>lasting a long time and expanding is a risk. I

0:14:41.160 --> 0:14:44.760
<v Speaker 2>don't know if the government shutdown is a financial risk,

0:14:44.880 --> 0:14:47.920
<v Speaker 2>or if it's just an amazing annoyance. But all of

0:14:47.960 --> 0:14:52.280
<v Speaker 2>these things are bad, right, So where do you see

0:14:52.280 --> 0:14:53.680
<v Speaker 2>a soft landing coming out of that?

0:14:54.920 --> 0:14:57.760
<v Speaker 8>Yeah, I mean we all these headwinds, the headwinds you

0:14:57.840 --> 0:15:01.840
<v Speaker 8>mentioned are really combining and will combine to slow down

0:15:01.880 --> 0:15:04.880
<v Speaker 8>the economy. So we do expect to see a downshift

0:15:04.880 --> 0:15:08.000
<v Speaker 8>in economic activity as we head into twenty twenty four.

0:15:08.480 --> 0:15:11.440
<v Speaker 8>We think that growth will fall below potential, and then

0:15:11.880 --> 0:15:15.800
<v Speaker 8>we're expecting a number of quarters where growth is going

0:15:15.840 --> 0:15:19.320
<v Speaker 8>to be fairly modest as a result of some of

0:15:19.360 --> 0:15:23.760
<v Speaker 8>the old headwinds higher interest rates, tighter credit conditions, and

0:15:23.800 --> 0:15:26.960
<v Speaker 8>still high inflation and some of these new headwinds that

0:15:27.000 --> 0:15:29.040
<v Speaker 8>you mentioned that are going to be waiting on growth

0:15:29.280 --> 0:15:32.120
<v Speaker 8>in the fourth quarter. What's important to keep in mind

0:15:32.240 --> 0:15:36.760
<v Speaker 8>with the strike, with the potential government shutdown is some

0:15:36.800 --> 0:15:39.320
<v Speaker 8>of the impact is going to be reversed in the

0:15:39.320 --> 0:15:42.720
<v Speaker 8>first quarter of next year. So this is also something

0:15:42.760 --> 0:15:44.600
<v Speaker 8>that I think is important to keep in mind when

0:15:44.600 --> 0:15:48.400
<v Speaker 8>you think about the outlook. But certainly a nuanced outlook

0:15:48.680 --> 0:15:52.400
<v Speaker 8>with resilient economy, but some headwinds that are going to

0:15:52.440 --> 0:15:54.400
<v Speaker 8>be waiting on private sector activity.

0:15:55.520 --> 0:15:59.040
<v Speaker 1>So Lydia, we've seen inflation come down from the peak

0:15:59.120 --> 0:16:03.400
<v Speaker 1>of eighteen month to go roughly, But now maybe the

0:16:03.440 --> 0:16:06.000
<v Speaker 1>hard work starts. As a lot of economers are suggesting,

0:16:06.000 --> 0:16:08.840
<v Speaker 1>how do you see inflation moving over the next six

0:16:08.920 --> 0:16:10.000
<v Speaker 1>or twelve months.

0:16:11.040 --> 0:16:13.720
<v Speaker 8>Yeah, we are in the camp that maybe the last

0:16:13.720 --> 0:16:17.320
<v Speaker 8>inflation mile won't be as strainerous as some people think.

0:16:17.840 --> 0:16:19.840
<v Speaker 8>There is a lot of ground to cover in terms

0:16:19.880 --> 0:16:22.880
<v Speaker 8>of bringing inflation back to target, but we still think

0:16:22.920 --> 0:16:27.080
<v Speaker 8>that there is there is this inflationary environment that remains

0:16:27.120 --> 0:16:27.560
<v Speaker 8>in place.

0:16:27.880 --> 0:16:29.040
<v Speaker 7>When you look further.

0:16:28.800 --> 0:16:32.240
<v Speaker 8>Ahead at the next few months and going into twenty

0:16:32.320 --> 0:16:35.760
<v Speaker 8>twenty four, when you look at core inflation, we are

0:16:35.800 --> 0:16:39.040
<v Speaker 8>expecting to see modes inflation on the core side, with

0:16:39.680 --> 0:16:43.800
<v Speaker 8>housing inflation having turned the corner, with the label market

0:16:43.920 --> 0:16:47.760
<v Speaker 8>loosening as well, and also with the fact that you

0:16:47.760 --> 0:16:49.880
<v Speaker 8>know we're going to see a slow down in demand

0:16:50.320 --> 0:16:53.080
<v Speaker 8>and in economic activity and that will put further downwald

0:16:53.080 --> 0:16:56.320
<v Speaker 8>pressure on inflation. So we think that we're going to

0:16:56.320 --> 0:17:00.120
<v Speaker 8>see continue this inflation and looking at poor and headline inflation,

0:17:00.680 --> 0:17:02.680
<v Speaker 8>it will still take some time, but by the end

0:17:02.720 --> 0:17:05.399
<v Speaker 8>of next year we may have gotten closer to the

0:17:05.800 --> 0:17:07.760
<v Speaker 8>two person target on both headline and poor.

0:17:08.600 --> 0:17:12.760
<v Speaker 1>Lady health concerned. Are you about the European economies over there?

0:17:12.800 --> 0:17:15.360
<v Speaker 1>I mean again, we talked about it earlier, but boy,

0:17:15.400 --> 0:17:18.960
<v Speaker 1>their exposure to China and just compounds some some problems

0:17:18.960 --> 0:17:21.800
<v Speaker 1>over there. What's about your forecast for just Europe in

0:17:21.800 --> 0:17:22.680
<v Speaker 1>the UK going forward.

0:17:24.040 --> 0:17:27.200
<v Speaker 8>Yeah, we are seeing more weakness for the deer and

0:17:27.359 --> 0:17:30.840
<v Speaker 8>the European economy, and we are seeing more headwinds as

0:17:30.840 --> 0:17:34.560
<v Speaker 8>well from the China slowdown. When we look at economic activity,

0:17:35.000 --> 0:17:38.000
<v Speaker 8>we are seeing some economic indicators pointing to a further

0:17:38.080 --> 0:17:41.919
<v Speaker 8>down shift. And now the outlook is, you know, not

0:17:42.080 --> 0:17:45.199
<v Speaker 8>the same for each individual country within the Eurozone. We

0:17:45.240 --> 0:17:49.760
<v Speaker 8>are seeing localized weakness in Germany with this this recession

0:17:49.960 --> 0:17:53.840
<v Speaker 8>recessionary conditions in Germany. The UK is also showing most

0:17:53.840 --> 0:17:56.760
<v Speaker 8>signs of weakness. But overall, this is a region where

0:17:56.800 --> 0:17:59.879
<v Speaker 8>we are expecting to see more weakness this year and

0:18:00.280 --> 0:18:02.639
<v Speaker 8>this is going to be a soft spot for the

0:18:02.680 --> 0:18:05.359
<v Speaker 8>global economy along with the Chinese economy.

0:18:05.800 --> 0:18:07.719
<v Speaker 1>Lydia, thank you so much for joining us. Always appreciate

0:18:07.760 --> 0:18:11.680
<v Speaker 1>getting your comments. Lydia bussor senior economists at e Y

0:18:11.720 --> 0:18:12.960
<v Speaker 1>Partha that you're.

0:18:12.760 --> 0:18:16.160
<v Speaker 9>Listening to the tape Cat's Are Live program Bloomberg Markets

0:18:16.240 --> 0:18:19.600
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0:18:19.680 --> 0:18:21.480
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0:18:21.200 --> 0:18:22.640
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0:18:22.680 --> 0:18:25.480
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0:18:31.240 --> 0:18:33.560
<v Speaker 1>Jess Larsen joins and sees the CEO and founder of

0:18:33.600 --> 0:18:36.520
<v Speaker 1>Briarcliff Credit Partners. He joins us live here in our

0:18:36.520 --> 0:18:40.560
<v Speaker 1>Bloomberg Interactive Broker studio. Just you guys, just focus on

0:18:40.560 --> 0:18:43.520
<v Speaker 1>this exclusively. Matt and I. We know private credit as

0:18:43.600 --> 0:18:47.520
<v Speaker 1>like direct lending. Well you're telling us it's more than that, right.

0:18:48.000 --> 0:18:51.240
<v Speaker 10>That is, that's a good question, right, and private credit

0:18:51.280 --> 0:18:52.800
<v Speaker 10>means a lot of things to a lot of people.

0:18:53.240 --> 0:18:56.240
<v Speaker 10>And there's a little bit of a misunderstanding that directlenning

0:18:56.400 --> 0:18:58.600
<v Speaker 10>is all rage of private credit. Dorek Lanny is a

0:18:58.600 --> 0:19:01.760
<v Speaker 10>great sub strategy with in private credit, but private credit

0:19:01.880 --> 0:19:04.720
<v Speaker 10>is really a lot more so. What we have identified

0:19:05.119 --> 0:19:07.680
<v Speaker 10>is fall pillars of private credit. You got corporate credit,

0:19:07.720 --> 0:19:11.520
<v Speaker 10>structure credit, real asset, and sparcusally finance underneath that twenty

0:19:11.640 --> 0:19:13.000
<v Speaker 10>six different strategy way.

0:19:13.280 --> 0:19:14.520
<v Speaker 5>It doesn't matter where in.

0:19:14.480 --> 0:19:17.720
<v Speaker 10>The economic economic cycle we are there's always strategies for

0:19:17.760 --> 0:19:20.520
<v Speaker 10>you to make money, and that's exciting about private credit.

0:19:20.359 --> 0:19:23.080
<v Speaker 1>Right, and private credit seems to me to come out

0:19:23.080 --> 0:19:24.960
<v Speaker 1>of nowhere over the last four or five.

0:19:24.840 --> 0:19:26.760
<v Speaker 2>Well yeah, I mean I've been going to the super

0:19:26.920 --> 0:19:29.840
<v Speaker 2>Turn conference for the past I don't know, seven or

0:19:29.880 --> 0:19:33.840
<v Speaker 2>eight years in Berlin, which is which was a private

0:19:33.840 --> 0:19:37.280
<v Speaker 2>equity conference, right, But more and more of the people

0:19:37.320 --> 0:19:39.719
<v Speaker 2>there are just talking about private credit. And a lot

0:19:39.720 --> 0:19:42.240
<v Speaker 2>of the big shops that you think of as PE

0:19:42.320 --> 0:19:46.919
<v Speaker 2>shops are actually the majority of their investments are on

0:19:46.960 --> 0:19:48.679
<v Speaker 2>the credit side now absolutely.

0:19:48.680 --> 0:19:50.760
<v Speaker 10>I mean the big firms are pivoting from PE to

0:19:50.880 --> 0:19:51.520
<v Speaker 10>private credit.

0:19:51.600 --> 0:19:51.760
<v Speaker 6>Right.

0:19:52.160 --> 0:19:54.159
<v Speaker 10>What we're seeing right now is we on the golden

0:19:54.200 --> 0:19:57.040
<v Speaker 10>age of private credit. What we will see in ten years,

0:19:57.040 --> 0:19:59.600
<v Speaker 10>if I can be so bold, is in ten years

0:19:59.600 --> 0:20:01.920
<v Speaker 10>private credit it's gonna be bigger than private equity. Wow,

0:20:02.080 --> 0:20:04.280
<v Speaker 10>this is our age, right. And I have to say, Matt,

0:20:04.520 --> 0:20:07.439
<v Speaker 10>Berlin is great, But next year come to our summit.

0:20:07.480 --> 0:20:10.320
<v Speaker 10>We had it last week. Over one hundred lpiece came

0:20:10.359 --> 0:20:11.919
<v Speaker 10>to hear just about private credit.

0:20:12.400 --> 0:20:13.879
<v Speaker 5>This is really a sou Where is it?

0:20:13.920 --> 0:20:15.199
<v Speaker 6>Because the city is important to me.

0:20:15.480 --> 0:20:17.160
<v Speaker 5>We did it here in the metropolitan club. We made

0:20:17.160 --> 0:20:17.760
<v Speaker 5>it easy for you.

0:20:17.960 --> 0:20:20.040
<v Speaker 2>Ah, I thought you're gonna say I could go to Copenhagen,

0:20:20.040 --> 0:20:21.920
<v Speaker 2>which I would like to do, that's where I'm from.

0:20:21.920 --> 0:20:23.600
<v Speaker 5>But you're more than welcome. We can do that as well.

0:20:23.800 --> 0:20:25.880
<v Speaker 1>It's easier for us to take a subway to that's

0:20:25.960 --> 0:20:28.280
<v Speaker 1>that's true. We can walk to the Metropologic Club. We

0:20:28.320 --> 0:20:30.760
<v Speaker 1>can do that as well. We can do just talk

0:20:30.800 --> 0:20:33.280
<v Speaker 1>to us about how this industry came about. Is it

0:20:33.320 --> 0:20:37.040
<v Speaker 1>just simply the regular the regulators put the traditional big

0:20:37.080 --> 0:20:38.360
<v Speaker 1>banks out of this business?

0:20:39.720 --> 0:20:40.080
<v Speaker 3>That is?

0:20:40.359 --> 0:20:42.639
<v Speaker 10>It is a really good question, right, because if we

0:20:42.760 --> 0:20:45.920
<v Speaker 10>think about private credit, this is not a new thing.

0:20:46.520 --> 0:20:49.439
<v Speaker 10>People have been lending to each other since the start

0:20:49.480 --> 0:20:52.960
<v Speaker 10>of humankind, right, So we go back to Plato and

0:20:53.080 --> 0:20:56.639
<v Speaker 10>those times the Medici family, it was all about lending.

0:20:56.800 --> 0:20:59.160
<v Speaker 5>Now we call the usury. At the time, it was all.

0:20:59.080 --> 0:21:02.359
<v Speaker 10>About lending, right, So lending a private credit has been

0:21:02.359 --> 0:21:07.119
<v Speaker 10>around since the early times. Now, you're right, during the GFC,

0:21:08.080 --> 0:21:11.359
<v Speaker 10>we've got the regulatory environment really supporting getting the credit

0:21:11.520 --> 0:21:13.600
<v Speaker 10>out of the banks because he's not the right place

0:21:14.040 --> 0:21:16.880
<v Speaker 10>for lending to mid market companies and get it into

0:21:16.880 --> 0:21:19.639
<v Speaker 10>the private credit space. So that was really the catalyst

0:21:19.800 --> 0:21:21.200
<v Speaker 10>of what I would call the golden nature.

0:21:21.840 --> 0:21:24.600
<v Speaker 2>I mean, the Germans would have a problem with that,

0:21:24.720 --> 0:21:26.600
<v Speaker 2>right because that's their bread and butter.

0:21:26.520 --> 0:21:27.960
<v Speaker 6>Of German banking.

0:21:28.040 --> 0:21:32.119
<v Speaker 2>And I think, uh, you know, there's no sort of

0:21:32.160 --> 0:21:35.639
<v Speaker 2>middelstand credit here the way there there is on the

0:21:35.640 --> 0:21:36.760
<v Speaker 2>other side of the Atlantic.

0:21:37.160 --> 0:21:39.639
<v Speaker 6>But we would call that shadow banking. Is that a

0:21:39.680 --> 0:21:41.200
<v Speaker 6>bad Is that a dirty term?

0:21:41.640 --> 0:21:44.200
<v Speaker 5>I think private credit sounds a lot better than shadow banking.

0:21:44.440 --> 0:21:47.600
<v Speaker 2>Come on, so it is, though, because you're pushing it

0:21:48.000 --> 0:21:52.360
<v Speaker 2>out of the regulated banking sector into more of a

0:21:53.080 --> 0:21:54.879
<v Speaker 2>I don't don't want to say wild West, because we

0:21:54.920 --> 0:21:58.200
<v Speaker 2>talked to private credit men and women here all the time,

0:21:58.240 --> 0:22:03.040
<v Speaker 2>who are obviously very responsible, learned individuals used to dealing

0:22:03.080 --> 0:22:04.320
<v Speaker 2>with sophisticated investors.

0:22:04.320 --> 0:22:06.520
<v Speaker 6>But you do have less regulation.

0:22:06.800 --> 0:22:10.120
<v Speaker 10>You do have less regulations. I would be contrarian and say,

0:22:10.240 --> 0:22:13.280
<v Speaker 10>we're pushing it out to where it belongs. Mid market

0:22:13.320 --> 0:22:16.119
<v Speaker 10>lending does not necessarily belong in a bank. We saw

0:22:16.240 --> 0:22:18.879
<v Speaker 10>the actual the risk you're taking on if you're a

0:22:18.880 --> 0:22:20.720
<v Speaker 10>mid market company and you want to borrow some money,

0:22:21.320 --> 0:22:23.760
<v Speaker 10>doing it with a bank adds a whole other layer

0:22:23.760 --> 0:22:25.800
<v Speaker 10>of risk, right. We saw that, we see a compative bank.

0:22:25.840 --> 0:22:28.280
<v Speaker 10>We saw that with credit and Signature Bank and so forth.

0:22:28.560 --> 0:22:31.080
<v Speaker 10>Now that private credit funds are set up and have

0:22:31.160 --> 0:22:34.480
<v Speaker 10>a much better asset liability match, so this is a

0:22:34.560 --> 0:22:37.640
<v Speaker 10>much better place for our mid market. The economy needs it, right.

0:22:37.760 --> 0:22:41.239
<v Speaker 10>The economy cannot survive without mid market lending, so we

0:22:41.320 --> 0:22:43.359
<v Speaker 10>need it. But we just need to having a better place,

0:22:43.400 --> 0:22:44.560
<v Speaker 10>and that's where we're going, all.

0:22:44.520 --> 0:22:47.320
<v Speaker 1>Right, mid market lending? Do you envision the day when

0:22:47.560 --> 0:22:50.359
<v Speaker 1>you characterize your industry is something more than mid market lending?

0:22:50.359 --> 0:22:53.119
<v Speaker 1>Not that that's not a great business, great returns, but

0:22:53.520 --> 0:22:55.840
<v Speaker 1>bigger deals, bigger tickets. Is that where we're going.

0:22:56.240 --> 0:22:58.520
<v Speaker 10>That's also where we're going. I think you're one hundred

0:22:58.520 --> 0:23:01.320
<v Speaker 10>percent of right, poll Mark. The terms of private credit

0:23:01.440 --> 0:23:03.240
<v Speaker 10>is going to go from mid market to upper market

0:23:03.280 --> 0:23:05.480
<v Speaker 10>to where we need to be right simply because it

0:23:05.560 --> 0:23:08.119
<v Speaker 10>makes sense for the borers. If not, we wouldn't have it.

0:23:08.320 --> 0:23:11.240
<v Speaker 2>What about the lenders, I mean right now or previously

0:23:11.280 --> 0:23:14.280
<v Speaker 2>it was big institutional money, as I said, sophisticated investors,

0:23:14.320 --> 0:23:17.040
<v Speaker 2>so people who you know, could afford to take losses.

0:23:17.200 --> 0:23:20.320
<v Speaker 2>We've had people on the program that are looking to

0:23:20.359 --> 0:23:23.639
<v Speaker 2>start platforms that allow retail money in is everybody going

0:23:23.720 --> 0:23:24.320
<v Speaker 2>to get involved.

0:23:25.440 --> 0:23:26.119
<v Speaker 5>It's coming, right.

0:23:26.160 --> 0:23:28.600
<v Speaker 10>We all need to be careful when there's retail money, right,

0:23:28.960 --> 0:23:31.680
<v Speaker 10>there is a high level of scrutiny, the high level

0:23:31.720 --> 0:23:34.159
<v Speaker 10>of regulatory environment when it comes to retail money. I

0:23:34.200 --> 0:23:36.879
<v Speaker 10>think we started the right place with the big institutional

0:23:36.920 --> 0:23:39.280
<v Speaker 10>money or cabs are coming from the pension funds and

0:23:39.280 --> 0:23:42.359
<v Speaker 10>dominance foundations, the big family jobs. We started with that money.

0:23:42.680 --> 0:23:45.240
<v Speaker 10>We're slowly moving into the retail but it does require

0:23:45.240 --> 0:23:46.920
<v Speaker 10>a little bit more of a regulatory overview.

0:23:47.440 --> 0:23:50.639
<v Speaker 1>So what's a typical deal that Briarcliffe invests in.

0:23:51.200 --> 0:23:52.320
<v Speaker 5>So we actually don't invest.

0:23:52.640 --> 0:23:54.920
<v Speaker 10>What we really do is we take the smart funds

0:23:55.240 --> 0:23:57.600
<v Speaker 10>and actually bring them out to the institutional investors their

0:23:57.640 --> 0:24:00.680
<v Speaker 10>placement firm basically gotcha, okay, And the only one in

0:24:00.720 --> 0:24:01.840
<v Speaker 10>private credit, believe.

0:24:01.560 --> 0:24:01.800
<v Speaker 3>It or not.

0:24:02.440 --> 0:24:05.240
<v Speaker 10>So you're the only one with the only place maiden

0:24:05.320 --> 0:24:07.080
<v Speaker 10>in the world that is completely He wants.

0:24:06.840 --> 0:24:09.520
<v Speaker 6>To hear the numbers. All Paul cares about in life

0:24:09.880 --> 0:24:10.679
<v Speaker 6>is making money.

0:24:11.320 --> 0:24:11.800
<v Speaker 3>I love it.

0:24:11.880 --> 0:24:14.920
<v Speaker 10>So there's three thousand place maidens globally, there's only one

0:24:14.920 --> 0:24:16.240
<v Speaker 10>that is dedicated to private credit.

0:24:16.280 --> 0:24:17.879
<v Speaker 5>It happens to be in your studio right now.

0:24:18.680 --> 0:24:21.360
<v Speaker 2>So are the what are the deals look like. I mean,

0:24:21.440 --> 0:24:24.359
<v Speaker 2>especially as in this rising rate environment. On the one hand,

0:24:24.400 --> 0:24:27.480
<v Speaker 2>I think it's going to get juicy. On the other hand,

0:24:28.119 --> 0:24:31.480
<v Speaker 2>I may be worried about companies that have to refinance

0:24:31.560 --> 0:24:34.000
<v Speaker 2>or companies that you know have been lent to at

0:24:34.040 --> 0:24:35.080
<v Speaker 2>much lower levels.

0:24:35.400 --> 0:24:38.359
<v Speaker 10>Yeah, yeah, I think it is a worry or it's

0:24:38.400 --> 0:24:40.760
<v Speaker 10>an opportunity, whether which way you want to look at it.

0:24:40.880 --> 0:24:43.680
<v Speaker 10>Because as we mentioned earlier, private credit is more than

0:24:43.800 --> 0:24:46.359
<v Speaker 10>just direct lending, right, So there are special sits that

0:24:46.480 --> 0:24:50.159
<v Speaker 10>distress managers out there. There are all sorts of strategies

0:24:50.160 --> 0:24:53.439
<v Speaker 10>that can capitalize if the default rate starts to spike.

0:24:54.040 --> 0:24:54.959
<v Speaker 5>Let's see if it happens.

0:24:54.960 --> 0:24:57.160
<v Speaker 10>But if we are going to get more losses, there

0:24:57.160 --> 0:24:59.359
<v Speaker 10>are credit funds out there that can actually capitalize, go

0:24:59.440 --> 0:25:01.600
<v Speaker 10>in and save these companies. And that's what we need

0:25:01.720 --> 0:25:03.200
<v Speaker 10>where the banks would shy away.

0:25:03.160 --> 0:25:08.119
<v Speaker 2>Right right, because private lenders work more closely with management.

0:25:08.520 --> 0:25:11.600
<v Speaker 5>It's other portfolio companies. And thank you for the pitch.

0:25:12.359 --> 0:25:15.520
<v Speaker 6>Well, I think we need to be skeptical as well.

0:25:15.600 --> 0:25:18.679
<v Speaker 2>That's our job, right And I wonder what you do

0:25:18.800 --> 0:25:22.040
<v Speaker 2>when regulation does come knocking, because there's going to be

0:25:22.040 --> 0:25:27.000
<v Speaker 2>a day, you know when some senator gets a craw

0:25:27.080 --> 0:25:29.800
<v Speaker 2>in her bonnet or whatever and decides you're the problem.

0:25:30.040 --> 0:25:32.919
<v Speaker 10>Yeah, Well the question is whether it's a problem. But

0:25:33.320 --> 0:25:36.800
<v Speaker 10>I don't think regulation is necessarily a bad thing, right

0:25:37.080 --> 0:25:39.359
<v Speaker 10>What we're doing right now is moving it out of

0:25:39.400 --> 0:25:43.159
<v Speaker 10>the banking system to the private cretic system where.

0:25:42.920 --> 0:25:45.439
<v Speaker 5>It is better placed. That's the first step.

0:25:45.760 --> 0:25:47.960
<v Speaker 10>The next step is probably be getting a little bit

0:25:48.000 --> 0:25:51.120
<v Speaker 10>more oversight, and we're already see in the regulatory environment

0:25:51.400 --> 0:25:54.399
<v Speaker 10>starting to looking at valuation reporting and so forth. So

0:25:54.520 --> 0:25:57.360
<v Speaker 10>it's coming and it's a good thing because it gives

0:25:57.520 --> 0:25:59.639
<v Speaker 10>everybody a little bit more comfort.

0:26:00.280 --> 0:26:02.280
<v Speaker 1>All right, Jess, thanks so much for joining us. Jess Larson,

0:26:02.400 --> 0:26:05.960
<v Speaker 1>CEO and founder Briar Cliff Credit Partners.

0:26:06.640 --> 0:26:10.080
<v Speaker 9>You're listening to the team Ken's Are Live program Bloomberg

0:26:10.119 --> 0:26:13.480
<v Speaker 9>Markets weekdays at ten am Eastern on Bloomberg dot com,

0:26:13.560 --> 0:26:16.720
<v Speaker 9>the iHeartRadio app, and the Bloomberg Business App, or listen

0:26:16.760 --> 0:26:18.880
<v Speaker 9>on demand wherever you get your podcasts.

0:26:21.160 --> 0:26:24.520
<v Speaker 1>A little bit of news out of Amazon today, they

0:26:24.560 --> 0:26:26.960
<v Speaker 1>are going to invest up to four billion dollars in

0:26:27.000 --> 0:26:30.040
<v Speaker 1>an AI firm by the name of Anthropic. It's a

0:26:30.040 --> 0:26:31.879
<v Speaker 1>big number to me, four billion, but I guess if

0:26:31.920 --> 0:26:34.240
<v Speaker 1>you're Amazon and you got a market cap at one

0:26:34.240 --> 0:26:37.679
<v Speaker 1>point three to five trillion, maybe not that big a deal, but.

0:26:37.720 --> 0:26:39.760
<v Speaker 2>Let's get it at it is though, because they don't

0:26:39.800 --> 0:26:42.520
<v Speaker 2>typically go out and buy businesses exactly.

0:26:42.640 --> 0:26:45.199
<v Speaker 1>And I think this is big because it's AI. So

0:26:45.240 --> 0:26:47.560
<v Speaker 1>I pay attention on a Rock Ronick he also pays attention.

0:26:47.560 --> 0:26:50.520
<v Speaker 1>He's a tech analyst at Bloomberg Intelligence. He joined us

0:26:50.560 --> 0:26:55.240
<v Speaker 1>via Zoom from his happy place Bloomberg Chicago office. Loves

0:26:55.280 --> 0:26:58.560
<v Speaker 1>that Honor Rock talk to us about this deal here, Anthropic.

0:26:58.920 --> 0:27:01.160
<v Speaker 1>What's Amazon doing here? What does Anthropic do? And why

0:27:01.200 --> 0:27:03.119
<v Speaker 1>is Amazon investing up the four billion?

0:27:04.040 --> 0:27:05.719
<v Speaker 11>Yeah, I think it's a little bit of catching up

0:27:05.760 --> 0:27:08.000
<v Speaker 11>to do because for the last twelve months, all we

0:27:08.040 --> 0:27:11.600
<v Speaker 11>have heard is Microsoft and open ai investments in how

0:27:11.920 --> 0:27:15.280
<v Speaker 11>OpenAI has the large language models and the foundation models

0:27:15.320 --> 0:27:19.080
<v Speaker 11>that people can use, but they only run on Microsoft's cloud.

0:27:19.440 --> 0:27:22.760
<v Speaker 11>So Amazon does not have that relationship with open Ai.

0:27:22.880 --> 0:27:26.359
<v Speaker 11>So they're looking at other AI companies that have similar products,

0:27:26.960 --> 0:27:30.080
<v Speaker 11>investing money in them, trying to offer that service. And

0:27:30.119 --> 0:27:33.360
<v Speaker 11>that's really what's happening here for AWS. Remember one thing,

0:27:33.560 --> 0:27:37.120
<v Speaker 11>AWS is a much bigger player in cloud infrastructure then

0:27:37.200 --> 0:27:39.800
<v Speaker 11>Microsoft and I think it's for the first time they've

0:27:39.800 --> 0:27:41.200
<v Speaker 11>been caught on the wrong floort.

0:27:42.400 --> 0:27:48.320
<v Speaker 2>In terms of Claude, which is that name of their Claude,

0:27:48.840 --> 0:27:53.159
<v Speaker 2>that's the name of the bot, the chatbot that Anthropy

0:27:53.400 --> 0:27:56.359
<v Speaker 2>or whatever it's called runs right, what's it called anthropy

0:27:56.440 --> 0:27:57.960
<v Speaker 2>anthropic anthropotropic.

0:27:58.960 --> 0:28:03.240
<v Speaker 6>So in terms of Clauds usage, it's going.

0:28:03.200 --> 0:28:07.760
<v Speaker 2>To be all on now AWS servers, and it's going

0:28:07.840 --> 0:28:10.879
<v Speaker 2>to use Amazon chips, which I didn't even know that

0:28:11.000 --> 0:28:13.919
<v Speaker 2>they were, you know, building this much of their own silicon.

0:28:14.400 --> 0:28:17.840
<v Speaker 6>They have one chip for training it's called like trainium,

0:28:17.960 --> 0:28:20.679
<v Speaker 6>and one chip for read in on this.

0:28:20.880 --> 0:28:22.840
<v Speaker 2>Well, what's the other one is for like inference, It's

0:28:22.840 --> 0:28:24.480
<v Speaker 2>called inferyon or something like that.

0:28:25.840 --> 0:28:28.440
<v Speaker 6>How big of a business is that for them?

0:28:28.600 --> 0:28:31.120
<v Speaker 11>So these are all emerging businesses. I mean, you know, financially,

0:28:31.200 --> 0:28:33.720
<v Speaker 11>there's a probably negligible compared to the size of the

0:28:33.720 --> 0:28:36.199
<v Speaker 11>business right now. But this is one thing that I

0:28:36.240 --> 0:28:39.000
<v Speaker 11>think that really stood out to us was Amazon's not

0:28:39.280 --> 0:28:41.640
<v Speaker 11>talking about using in video chips for this, but their

0:28:41.680 --> 0:28:43.760
<v Speaker 11>own internal one. Now, it's going to be a while

0:28:43.800 --> 0:28:46.560
<v Speaker 11>before we really figured out if it works, but you know,

0:28:46.560 --> 0:28:49.400
<v Speaker 11>if AWS is making a big splash around it They're

0:28:49.440 --> 0:28:52.280
<v Speaker 11>basically saying that we can run some of these foundation

0:28:52.400 --> 0:28:55.440
<v Speaker 11>models or the large language models without the need of

0:28:55.560 --> 0:28:58.520
<v Speaker 11>Nvidio GPUs, which to me is a big deal. A

0:28:58.640 --> 0:29:01.960
<v Speaker 11>most large cloud companies eventually will design their own chips

0:29:02.000 --> 0:29:05.000
<v Speaker 11>and get them made only because they want to, you know,

0:29:05.200 --> 0:29:08.360
<v Speaker 11>have much higher performance than what they get from let's say,

0:29:08.360 --> 0:29:11.680
<v Speaker 11>an Intel and an AMD or or anybody else out there.

0:29:12.200 --> 0:29:15.240
<v Speaker 1>So Anrak, I'm probably like most investors out there, Like

0:29:15.280 --> 0:29:16.920
<v Speaker 1>over the last twelve months, I've been trying to run

0:29:16.960 --> 0:29:18.800
<v Speaker 1>around like crazy trying to figure out how I get

0:29:18.840 --> 0:29:21.960
<v Speaker 1>exposure to this thing called AI, which I don't even

0:29:21.960 --> 0:29:23.280
<v Speaker 1>really know what it is, but I know I got

0:29:23.320 --> 0:29:27.800
<v Speaker 1>to own it. So you know, in Nvidia, the chip stocks,

0:29:27.840 --> 0:29:30.640
<v Speaker 1>maybe a Microsoft something like that we kind of fell into.

0:29:31.120 --> 0:29:35.000
<v Speaker 1>But I did not think about Amazon. And is that

0:29:35.080 --> 0:29:38.080
<v Speaker 1>a problem for Amazon that it's not doesn't really it's

0:29:38.080 --> 0:29:40.000
<v Speaker 1>not proceived to have a real AI angle.

0:29:40.840 --> 0:29:43.440
<v Speaker 11>Yeah, I think this is this investment is basically they're

0:29:43.480 --> 0:29:45.400
<v Speaker 11>telling that you know, they are also serious and they're

0:29:45.400 --> 0:29:48.480
<v Speaker 11>gonna partner with other people. Oracle, for example, is partnering

0:29:48.480 --> 0:29:51.920
<v Speaker 11>with another company called cohere in a similar way. You know,

0:29:52.000 --> 0:29:54.600
<v Speaker 11>for us, when you get rid of or when you

0:29:54.640 --> 0:29:58.400
<v Speaker 11>when you are over the hype of the the chip makers,

0:29:58.680 --> 0:30:01.120
<v Speaker 11>when you move onto the software side, then the clear

0:30:01.240 --> 0:30:05.840
<v Speaker 11>winners actually are the cloud infrastructure companies, which is Awos, Microsoft, Google,

0:30:05.920 --> 0:30:08.560
<v Speaker 11>and to some extent, Oracle, because that's where you will

0:30:08.560 --> 0:30:11.360
<v Speaker 11>host some of these models and do your work on it.

0:30:11.560 --> 0:30:14.160
<v Speaker 11>And then on the downstream you have companies like you know,

0:30:14.680 --> 0:30:17.560
<v Speaker 11>Ccenture and Captaremini and so forth that will implement some

0:30:17.600 --> 0:30:20.480
<v Speaker 11>of that stuff. So on the software side, cloud infrastructure

0:30:20.600 --> 0:30:22.320
<v Speaker 11>is one of the biggest beneficiaries in our view.

0:30:22.680 --> 0:30:25.040
<v Speaker 2>Where do they get by the way their data sets

0:30:25.320 --> 0:30:29.000
<v Speaker 2>because a lot of these companies, you know, Microsoft has

0:30:29.040 --> 0:30:31.560
<v Speaker 2>a ton of our data. Obviously Apple has a ton

0:30:31.600 --> 0:30:34.440
<v Speaker 2>of our data. But Amazon might have more of our

0:30:34.480 --> 0:30:35.520
<v Speaker 2>data than anybody else.

0:30:35.640 --> 0:30:38.440
<v Speaker 11>Right, Yeah, but Matt, they're not using your or my

0:30:38.600 --> 0:30:41.520
<v Speaker 11>consumer data to run any of these things. What Amazon

0:30:41.520 --> 0:30:44.000
<v Speaker 11>Web Services is selling is going to you know, let's

0:30:44.000 --> 0:30:46.520
<v Speaker 11>say JP Morgan or Bank of America and saying, if

0:30:46.520 --> 0:30:49.080
<v Speaker 11>you want to train your models, we are giving you

0:30:49.120 --> 0:30:50.760
<v Speaker 11>the raw material for it. We are giving you the

0:30:50.800 --> 0:30:54.160
<v Speaker 11>computing power, We're giving you the algorithms. You bring your

0:30:54.200 --> 0:30:57.720
<v Speaker 11>own data, keep it in a contained environment, and test

0:30:57.760 --> 0:31:00.160
<v Speaker 11>it out. Whatever the results you get, you get the

0:31:00.160 --> 0:31:03.520
<v Speaker 11>benefit of it. They're basically just you know, selling compute

0:31:03.560 --> 0:31:06.520
<v Speaker 11>power and storage. They're not really you know, selling their

0:31:06.560 --> 0:31:09.360
<v Speaker 11>own or you're in my customer data to these companies.

0:31:09.960 --> 0:31:13.239
<v Speaker 1>Is this a good deal for Amazon? And do they

0:31:13.280 --> 0:31:14.120
<v Speaker 1>need to do more here?

0:31:14.760 --> 0:31:16.280
<v Speaker 11>Oh, they need to do a lot more. They need

0:31:16.320 --> 0:31:18.760
<v Speaker 11>to do a lot more and actually showcase a lot

0:31:18.760 --> 0:31:21.200
<v Speaker 11>of the enterprise use cases, Paul, What we have seen

0:31:21.280 --> 0:31:23.880
<v Speaker 11>so far is a lot of use cases when it

0:31:23.920 --> 0:31:26.640
<v Speaker 11>comes to consumer consumers. So when it you know, when

0:31:26.720 --> 0:31:29.560
<v Speaker 11>we see what's happening with chat GPT because it has

0:31:29.880 --> 0:31:32.560
<v Speaker 11>all the Internet data behind it, We're seeing some of

0:31:32.600 --> 0:31:35.400
<v Speaker 11>the stuff that Microsoft is doing because it has some

0:31:35.480 --> 0:31:38.440
<v Speaker 11>of the user data around it, you know, Excel and Word.

0:31:38.800 --> 0:31:40.800
<v Speaker 11>But the real use case in the long run is

0:31:40.960 --> 0:31:43.760
<v Speaker 11>enterprises B to B. In the case of B to B,

0:31:43.880 --> 0:31:46.400
<v Speaker 11>the data is diseggregated and it's in a lot of

0:31:46.440 --> 0:31:49.960
<v Speaker 11>different systems, and it's people like Amazon, Microsoft and Google

0:31:50.000 --> 0:31:52.280
<v Speaker 11>that are going to sell the infrastructure and say, you

0:31:52.360 --> 0:31:55.480
<v Speaker 11>create your own bots, you create your own large language

0:31:55.520 --> 0:31:58.520
<v Speaker 11>model trained on your own data, but we're going to

0:31:58.520 --> 0:32:00.880
<v Speaker 11>sell you all the services that allow you to do that.

0:32:02.360 --> 0:32:05.600
<v Speaker 1>So what I mean, it's it's when I think about Amazon,

0:32:05.640 --> 0:32:09.120
<v Speaker 1>I mean the cloud is there's such a leader in cloud.

0:32:10.000 --> 0:32:12.120
<v Speaker 1>Can I not say that that's a way to play

0:32:12.160 --> 0:32:13.080
<v Speaker 1>this whole AI thing.

0:32:13.120 --> 0:32:15.719
<v Speaker 11>This is the way, yeah, for software, that is the

0:32:15.760 --> 0:32:18.240
<v Speaker 11>only way to play it and argue because Amazon has

0:32:18.280 --> 0:32:21.480
<v Speaker 11>over a forty percent market share in cloud infrastructure. The

0:32:21.560 --> 0:32:25.280
<v Speaker 11>problem was they didn't have a relationship with OPENINGI. Today

0:32:25.280 --> 0:32:27.800
<v Speaker 11>they are, you know, So it's it's that's so the

0:32:27.840 --> 0:32:32.200
<v Speaker 11>companies that are selling the algorithms or these big foundation

0:32:32.360 --> 0:32:35.440
<v Speaker 11>models that are called or large language models. There are

0:32:35.520 --> 0:32:38.320
<v Speaker 11>multiple companies out there, and you you should expect to

0:32:38.360 --> 0:32:41.480
<v Speaker 11>see multiple deals like this with everybody down the road.

0:32:42.600 --> 0:32:44.000
<v Speaker 6>Who has the best product?

0:32:44.840 --> 0:32:45.040
<v Speaker 3>Have you?

0:32:45.160 --> 0:32:47.600
<v Speaker 6>Have you been playing with all of the with claud

0:32:47.720 --> 0:32:49.400
<v Speaker 6>and chat GBT and.

0:32:49.480 --> 0:32:51.840
<v Speaker 11>It's it all depends on who has the underlying data.

0:32:51.880 --> 0:32:53.880
<v Speaker 11>If you're going to ask me, who can summarize a

0:32:53.920 --> 0:32:56.840
<v Speaker 11>picture for me or a write poem, that doesn't really

0:32:56.880 --> 0:32:59.080
<v Speaker 11>move the needle for what I do for B to B.

0:32:59.320 --> 0:33:01.840
<v Speaker 11>It really needs to be able to get into enterprise

0:33:01.960 --> 0:33:04.560
<v Speaker 11>data and figure out whether I have the who's my

0:33:04.640 --> 0:33:08.440
<v Speaker 11>best customer over the next twelve months for that I

0:33:08.480 --> 0:33:11.800
<v Speaker 11>really need to tap into enterprise data warehouses and that's

0:33:11.840 --> 0:33:13.280
<v Speaker 11>not an easy thing to do right now.

0:33:14.160 --> 0:33:16.520
<v Speaker 1>All right, So what's what do you think is next

0:33:16.560 --> 0:33:19.360
<v Speaker 1>here for Amazon in terms of their cloud and maybe

0:33:19.360 --> 0:33:23.200
<v Speaker 1>in terms of AI specifically, because they have no shortage

0:33:23.200 --> 0:33:26.000
<v Speaker 1>of capital to invest here, so.

0:33:25.960 --> 0:33:27.800
<v Speaker 11>They're going to make investments like this. They're going to

0:33:27.840 --> 0:33:30.320
<v Speaker 11>invest in ships, they're going to invest in large language model.

0:33:30.480 --> 0:33:32.200
<v Speaker 11>You know, margin is not going to be a problem.

0:33:32.600 --> 0:33:35.320
<v Speaker 11>We are coming to a point that the tough comparisons

0:33:35.320 --> 0:33:39.040
<v Speaker 11>for cloud decline is almost over. We are expecting a

0:33:39.080 --> 0:33:41.600
<v Speaker 11>bounce back either the end of this quarter or perhaps

0:33:42.240 --> 0:33:45.120
<v Speaker 11>next quarter, and then we should see a rebound next year,

0:33:45.320 --> 0:33:48.400
<v Speaker 11>just because we have seen a fair amount of shrinkage

0:33:48.480 --> 0:33:51.160
<v Speaker 11>or the usage of cloud over the last twelve to

0:33:51.200 --> 0:33:53.760
<v Speaker 11>fourteen months, and we are coming to a point where

0:33:53.960 --> 0:33:56.680
<v Speaker 11>we should start to see a rebound. Now that's irrespective

0:33:56.720 --> 0:33:59.520
<v Speaker 11>of what happens to the AI. But once we see

0:33:59.520 --> 0:34:02.600
<v Speaker 11>more AI investments, hopefully next year, you know, that only

0:34:02.640 --> 0:34:04.800
<v Speaker 11>adds to the fuel of the cloud rebound that we

0:34:04.840 --> 0:34:05.520
<v Speaker 11>really believe in.

0:34:06.040 --> 0:34:07.959
<v Speaker 1>All right, Donnroroq, thanks so much for joining us.

0:34:08.400 --> 0:34:10.960
<v Speaker 9>You're listening to the tape, can to our live program

0:34:11.000 --> 0:34:14.960
<v Speaker 9>Bloomberg Markets weekdays at ten am Eastern on Bloomberg Radio,

0:34:15.120 --> 0:34:17.399
<v Speaker 9>the tune in app, Bloomberg dot Com, and the.

0:34:17.280 --> 0:34:18.479
<v Speaker 3>Bloomberg Business App.

0:34:18.520 --> 0:34:21.319
<v Speaker 9>You can also listen live on Amazon Alexa from our

0:34:21.360 --> 0:34:26.400
<v Speaker 9>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:34:28.000 --> 0:34:31.080
<v Speaker 12>We want to welcome our Bloomberg television and radio audiences

0:34:31.400 --> 0:34:36.320
<v Speaker 12>worldwide joining us now. Amazon Web Services CEO Adam Selipsky,

0:34:36.360 --> 0:34:38.839
<v Speaker 12>and Adam Welcome to Bloomberg Technology. I want to start

0:34:38.840 --> 0:34:42.120
<v Speaker 12>with some of the mechanics of this deal. Does Anthropic

0:34:42.520 --> 0:34:46.440
<v Speaker 12>still pay Amazon to use AWS Cloud or is it

0:34:46.520 --> 0:34:50.640
<v Speaker 12>structured such that the investment that you make in Anthropic

0:34:50.719 --> 0:34:54.320
<v Speaker 12>is in the form of cash and credits for AWS Cloud?

0:34:55.800 --> 0:34:57.719
<v Speaker 7>No, good morning, Thanks for having me.

0:34:57.760 --> 0:35:03.319
<v Speaker 13>We're very excited for this expanded relationship with Anthropic, and

0:35:04.080 --> 0:35:08.160
<v Speaker 13>the investment is a financial investment, as you say. And

0:35:08.680 --> 0:35:14.319
<v Speaker 13>in addition, Anthropic will be training future versions of its

0:35:14.320 --> 0:35:19.000
<v Speaker 13>models and running its models on AWS using our.

0:35:19.000 --> 0:35:22.040
<v Speaker 7>Training chips and Inferentia chips.

0:35:22.640 --> 0:35:25.520
<v Speaker 13>Those models will be guaranteed to be available for years

0:35:25.560 --> 0:35:30.040
<v Speaker 13>to come in our Amazon Bedrock Managed service for llms,

0:35:30.120 --> 0:35:34.440
<v Speaker 13>which provides the very wide choice of models, and AWS

0:35:34.480 --> 0:35:38.400
<v Speaker 13>customers will actually receive early access to key features in

0:35:38.480 --> 0:35:42.000
<v Speaker 13>Anthropics models in the future, such as fine tuning and

0:35:42.080 --> 0:35:47.640
<v Speaker 13>customization of models. In addition, Anthropics on very talented technical teams,

0:35:48.080 --> 0:35:51.880
<v Speaker 13>and we anticipate working closely with them to actually improve

0:35:52.360 --> 0:35:56.960
<v Speaker 13>future versions of our training and inferential chips. So there

0:35:57.000 --> 0:35:59.560
<v Speaker 13>are a lot of different benefits for our joint end

0:35:59.600 --> 0:36:02.480
<v Speaker 13>customers from this relationship and we're very excited to be

0:36:02.560 --> 0:36:03.440
<v Speaker 13>leaders in this together.

0:36:04.640 --> 0:36:07.320
<v Speaker 12>Adam, there's a lot of emphasis on moving a maker

0:36:07.360 --> 0:36:10.560
<v Speaker 12>of foundation models at that scale onto your proprietary silicon.

0:36:11.040 --> 0:36:16.160
<v Speaker 12>How quickly will Anthropics start running AI workloads on Trainium

0:36:16.200 --> 0:36:16.960
<v Speaker 12>and Inferentia.

0:36:18.080 --> 0:36:21.839
<v Speaker 13>We've been working with Anthropic, they've been a customers of

0:36:21.840 --> 0:36:24.920
<v Speaker 13>ours since I think they're founding over a couple of

0:36:24.960 --> 0:36:28.000
<v Speaker 13>years ago, and so they use a variety of different

0:36:28.480 --> 0:36:35.080
<v Speaker 13>technologies for a variety of different workloads on AWS that

0:36:35.120 --> 0:36:39.279
<v Speaker 13>they'll be using GPUs on AWS and will also be

0:36:39.400 --> 0:36:43.239
<v Speaker 13>using large quantities of Trainium and Inferentia. So I think

0:36:43.280 --> 0:36:46.400
<v Speaker 13>everything's going to move very quickly and it'll all be

0:36:46.920 --> 0:36:49.359
<v Speaker 13>a mix of technologies depending on their needs at the time.

0:36:50.680 --> 0:36:54.200
<v Speaker 12>Adam, what's the mood like within Amazon and AWS this morning.

0:36:54.239 --> 0:36:57.640
<v Speaker 12>There are lots of talented engineers that have been working

0:36:57.719 --> 0:37:02.160
<v Speaker 12>on large language models generative tools internally, and now you're

0:37:02.200 --> 0:37:05.319
<v Speaker 12>turning to a third party who's highly regarded as a

0:37:05.400 --> 0:37:07.640
<v Speaker 12>leader in building foundation models.

0:37:09.600 --> 0:37:10.560
<v Speaker 7>The mood here is great.

0:37:11.320 --> 0:37:13.760
<v Speaker 13>We are a company of inventors who we love to build,

0:37:14.200 --> 0:37:16.239
<v Speaker 13>and there's never been a better time to be a

0:37:16.239 --> 0:37:18.839
<v Speaker 13>builder at AWS than right now.

0:37:19.440 --> 0:37:21.480
<v Speaker 7>And as I mentioned.

0:37:21.120 --> 0:37:24.560
<v Speaker 13>Before, a big part of our strategy in AI and

0:37:24.640 --> 0:37:28.200
<v Speaker 13>generative AI specifically, it is all about customer choice and

0:37:28.360 --> 0:37:32.400
<v Speaker 13>there's not going to be any one solution that works

0:37:32.400 --> 0:37:35.600
<v Speaker 13>for all customers for all use cases. And Thropic has

0:37:35.600 --> 0:37:39.280
<v Speaker 13>done an amazing job. They're clearly a leader in this space,

0:37:39.719 --> 0:37:42.560
<v Speaker 13>and it's really important for customers that we continue to

0:37:42.600 --> 0:37:47.239
<v Speaker 13>generate new capabilities together at the same time. Really, one

0:37:47.239 --> 0:37:50.600
<v Speaker 13>of the hallmarks of our Amazon Bedrock managed service for

0:37:51.040 --> 0:37:54.600
<v Speaker 13>generative AI is choice, and so Amazon is going to

0:37:54.600 --> 0:37:57.160
<v Speaker 13>continue to build its own Titan models, which are going

0:37:57.200 --> 0:38:02.560
<v Speaker 13>to be available later this year. Obviously, Anthropics models are

0:38:02.600 --> 0:38:05.680
<v Speaker 13>prominent in Bedrock, and we will have models from other

0:38:05.920 --> 0:38:09.040
<v Speaker 13>leading providers as well as we have today. So it's

0:38:09.040 --> 0:38:12.360
<v Speaker 13>still an amazing time to build here at Amazon. We

0:38:12.400 --> 0:38:14.000
<v Speaker 13>think our models are going to be great as well,

0:38:14.040 --> 0:38:18.439
<v Speaker 13>and it's about customers choosing the right tool for the job, talking.

0:38:18.080 --> 0:38:20.600
<v Speaker 14>About choice, and I just want to re welcome our

0:38:20.640 --> 0:38:24.920
<v Speaker 14>TV and radio audiances with Adam Sleipski. What's so notable

0:38:25.120 --> 0:38:28.040
<v Speaker 14>is that, well, Anthropic took a chunk of change one

0:38:28.120 --> 0:38:32.640
<v Speaker 14>hundred million dollars worth from Google already, and I'm interested

0:38:32.680 --> 0:38:35.240
<v Speaker 14>as to how you feel that is perhaps a concern

0:38:35.320 --> 0:38:38.520
<v Speaker 14>for you or not the relationship that Anthropic already has

0:38:39.160 --> 0:38:40.920
<v Speaker 14>with a previous cloud provider.

0:38:42.160 --> 0:38:45.640
<v Speaker 13>Now, we feel great about the relationship with Anthropic. It's

0:38:45.680 --> 0:38:48.600
<v Speaker 13>been a good relationship and I think today's announcement just

0:38:48.680 --> 0:38:55.120
<v Speaker 13>makes it a deeper and longer term. Anthropic will use

0:38:55.160 --> 0:38:58.960
<v Speaker 13>AWS as its primary cloud provider for mission critical workloads,

0:38:59.040 --> 0:39:05.400
<v Speaker 13>including building foundational foundation models and doing AI safety research,

0:39:05.719 --> 0:39:09.160
<v Speaker 13>and will run the majority of its workloads on AWS.

0:39:09.200 --> 0:39:12.040
<v Speaker 13>So we feel great about being able to provide the

0:39:12.080 --> 0:39:15.520
<v Speaker 13>capacity and the expertise and of course the security, the

0:39:15.640 --> 0:39:19.320
<v Speaker 13>enterprise grade security that is so important to AWS customers.

0:39:19.480 --> 0:39:21.880
<v Speaker 13>And we also feel great about working with Anthropic to

0:39:21.960 --> 0:39:26.240
<v Speaker 13>make sure that our trainingum and inferential technology our chips

0:39:26.360 --> 0:39:30.080
<v Speaker 13>are as cutting edge as possible going forward for years

0:39:30.080 --> 0:39:30.439
<v Speaker 13>to come.

0:39:31.120 --> 0:39:33.279
<v Speaker 14>I'm interested in drilling down sort of on why ed

0:39:33.440 --> 0:39:36.239
<v Speaker 14>was going about the feeling internally right now, because I

0:39:36.239 --> 0:39:38.480
<v Speaker 14>look at some of the analyst reaction to this Adam

0:39:38.520 --> 0:39:41.160
<v Speaker 14>and Webbush, for example, they say this signals a new

0:39:41.280 --> 0:39:45.200
<v Speaker 14>found urgency in Amazon's strategy to further integrate generative AI

0:39:45.320 --> 0:39:49.120
<v Speaker 14>among your AWS suite of services. That urgency was there

0:39:49.480 --> 0:39:53.200
<v Speaker 14>a lack of understanding or indeed a reality that Amazon

0:39:53.520 --> 0:39:55.680
<v Speaker 14>was behind the curve here a little bit when it

0:39:55.719 --> 0:39:59.160
<v Speaker 14>came to the integration of generative AI. Because we've been

0:39:59.200 --> 0:40:01.359
<v Speaker 14>looking at open Ai Microsoft for a while now.

0:40:02.480 --> 0:40:05.600
<v Speaker 13>We've been saying for many, many months, Carolyn, that we

0:40:05.640 --> 0:40:08.399
<v Speaker 13>are fully urgent. We have a strategy that we really love.

0:40:08.719 --> 0:40:11.280
<v Speaker 13>It is different than some other cloud provider strategies.

0:40:11.280 --> 0:40:11.920
<v Speaker 7>It's true.

0:40:12.640 --> 0:40:18.479
<v Speaker 13>We have a strategy of providing absolutely uncompromising security, which

0:40:18.520 --> 0:40:20.759
<v Speaker 13>I don't think is true for all cloud providers. We

0:40:20.840 --> 0:40:24.120
<v Speaker 13>have a strategy of providing customers the choices to use

0:40:24.160 --> 0:40:28.200
<v Speaker 13>whatever is best for their job at hand. So Andthropic

0:40:28.320 --> 0:40:30.719
<v Speaker 13>is going to be an amazing set of models for

0:40:30.800 --> 0:40:35.279
<v Speaker 13>many many use cases. And Amazon is fully invested in

0:40:35.320 --> 0:40:38.160
<v Speaker 13>building its own Titan models, which I think will be

0:40:38.160 --> 0:40:41.799
<v Speaker 13>really useful for other customers and other circumstances, and of

0:40:41.800 --> 0:40:47.000
<v Speaker 13>course our other model provider partners through Bedrock. So I

0:40:47.040 --> 0:40:49.759
<v Speaker 13>really think it's an ill founded premise that there's been

0:40:49.760 --> 0:40:52.680
<v Speaker 13>some change in urgency. We're fully urgent here on generative

0:40:52.719 --> 0:40:55.640
<v Speaker 13>AI for one reason or one reason alone. It's because

0:40:55.680 --> 0:40:59.600
<v Speaker 13>our customers need us to have great generative AI capabilities.

0:40:59.640 --> 0:41:02.520
<v Speaker 13>So many of them have their data platforms on AWS,

0:41:02.560 --> 0:41:05.960
<v Speaker 13>and if you got your data here, you really want

0:41:06.000 --> 0:41:09.080
<v Speaker 13>to have your generative AI and all the powerful capabilities

0:41:09.120 --> 0:41:11.920
<v Speaker 13>that you need from those capabilities are in the same place.

0:41:12.000 --> 0:41:15.040
<v Speaker 13>And so we have been, are and will continue to

0:41:15.080 --> 0:41:17.480
<v Speaker 13>be very motivated to deliver for customers.

0:41:18.000 --> 0:41:20.000
<v Speaker 12>Adam, what does this mean for the kind of ramp

0:41:20.080 --> 0:41:23.359
<v Speaker 12>up or path forward for Trainium and Inferentia. You put

0:41:23.360 --> 0:41:27.040
<v Speaker 12>a lot of emphasis that anthropic brings you a maker

0:41:27.400 --> 0:41:30.879
<v Speaker 12>or creator foundation models at scale. Well, you now need

0:41:30.920 --> 0:41:35.280
<v Speaker 12>to ramp up I guess your third party manufacturing relationships

0:41:35.280 --> 0:41:38.000
<v Speaker 12>to say, okay, let's get more Trainium on more inferential

0:41:38.080 --> 0:41:40.200
<v Speaker 12>online to support the workloads.

0:41:41.320 --> 0:41:44.600
<v Speaker 13>Well, it's absolutely true that there is a huge demand

0:41:45.200 --> 0:41:49.520
<v Speaker 13>for all of the different ships with which people do

0:41:49.960 --> 0:41:54.040
<v Speaker 13>a generative AI workloads, and so We absolutely have already

0:41:54.080 --> 0:41:58.560
<v Speaker 13>been ramping up our training and inferential supply chain and

0:41:58.880 --> 0:42:00.920
<v Speaker 13>ramping up the apply that we can.

0:42:00.800 --> 0:42:02.480
<v Speaker 7>Create as quickly as possible.

0:42:02.840 --> 0:42:07.799
<v Speaker 13>And yes, Anthropic will have access to very significant quantities

0:42:07.800 --> 0:42:10.919
<v Speaker 13>of compute which we'll have trainum and inferentia in them.

0:42:11.000 --> 0:42:14.960
<v Speaker 13>So yes, that's one of many reasons why we continue

0:42:15.000 --> 0:42:18.640
<v Speaker 13>to ramp up and to provide a very robust AWS

0:42:18.680 --> 0:42:21.680
<v Speaker 13>controlled supply chain for AI chips.

0:42:21.960 --> 0:42:25.400
<v Speaker 14>And is that where the revenue boost comes, Adam, because

0:42:25.440 --> 0:42:27.600
<v Speaker 14>we're looking at the share price reaction is higher on

0:42:27.640 --> 0:42:31.400
<v Speaker 14>the day. When does this all start to really drive adoption,

0:42:31.920 --> 0:42:33.760
<v Speaker 14>money and the bottom line for Amazon?

0:42:35.040 --> 0:42:37.400
<v Speaker 7>Well, I think that AI in general.

0:42:37.480 --> 0:42:41.000
<v Speaker 13>Look, AWS has had machine learning services since at least

0:42:41.040 --> 0:42:45.560
<v Speaker 13>twenty seventeen when we released our sage Maker machine learning service,

0:42:45.600 --> 0:42:48.480
<v Speaker 13>which has over one hundred thousand AWS customers on it.

0:42:48.520 --> 0:42:51.040
<v Speaker 13>So we've been doing machine learning for a long time

0:42:51.160 --> 0:42:55.160
<v Speaker 13>inside of AWS and obviously more recently have had a

0:42:55.200 --> 0:42:59.520
<v Speaker 13>significant number of generative AI customers, and we will certainly

0:43:00.160 --> 0:43:03.000
<v Speaker 13>continue to ramp up anticipate, you know, quite steeply. We

0:43:03.080 --> 0:43:07.480
<v Speaker 13>have many sources of growth inside of AWS where a

0:43:07.560 --> 0:43:12.360
<v Speaker 13>scaled and relatively sizable business at this point, and customers

0:43:12.360 --> 0:43:17.080
<v Speaker 13>are running their data platforms on AWS. They are building

0:43:17.080 --> 0:43:19.800
<v Speaker 13>out more and more applications for things like supply chain

0:43:20.400 --> 0:43:23.080
<v Speaker 13>and contact center management on AWS.

0:43:23.320 --> 0:43:24.399
<v Speaker 7>I've still a whole lot of.

0:43:24.360 --> 0:43:28.000
<v Speaker 13>Storage and compute and database workloads ramping on our AWS,

0:43:28.040 --> 0:43:31.600
<v Speaker 13>so we have many sources of growth I anticipate, but

0:43:31.680 --> 0:43:34.759
<v Speaker 13>there's absolutely no doubt that generative AI looks like it's

0:43:34.800 --> 0:43:38.040
<v Speaker 13>going to be an explosive additional source of growth in

0:43:38.080 --> 0:43:38.800
<v Speaker 13>the years ahead.

0:43:40.239 --> 0:43:42.560
<v Speaker 12>Adam, we put a lot of emphasis on the up

0:43:42.600 --> 0:43:46.120
<v Speaker 12>to four billion dollars, and you know, I understand and

0:43:46.160 --> 0:43:49.959
<v Speaker 12>thank you for explaining how the relationship will work in practice.

0:43:50.200 --> 0:43:52.239
<v Speaker 12>If I put to you this is an example of

0:43:52.280 --> 0:43:56.080
<v Speaker 12>Amazon or AWS basically paying a leader in the field

0:43:56.080 --> 0:43:59.960
<v Speaker 12>of AI, handing over cash to allow to make them

0:44:00.160 --> 0:44:03.360
<v Speaker 12>use trainum and inferentia, how would you respond to that

0:44:03.400 --> 0:44:05.600
<v Speaker 12>and explain to me how you bring new customers on

0:44:05.680 --> 0:44:09.040
<v Speaker 12>board who are really interested in the AI accelerators that

0:44:09.120 --> 0:44:13.359
<v Speaker 12>you have built without having to invest in them as

0:44:13.400 --> 0:44:14.280
<v Speaker 12>a sort of backup.

0:44:15.400 --> 0:44:15.680
<v Speaker 7>Sure.

0:44:15.760 --> 0:44:20.279
<v Speaker 13>Well, the I think the really big news today is

0:44:20.440 --> 0:44:27.320
<v Speaker 13>the new expanded relationship between Anthropic and Amazon, in which

0:44:28.040 --> 0:44:31.800
<v Speaker 13>they will have access to really large quantities of training

0:44:31.880 --> 0:44:35.360
<v Speaker 13>and in FRENTI at Chips, customers will have access to

0:44:35.360 --> 0:44:39.440
<v Speaker 13>those models, including early access to critical features through Amazon

0:44:39.480 --> 0:44:43.400
<v Speaker 13>Bedrock and Amazon will get to AWS, We'll get to

0:44:43.400 --> 0:44:47.320
<v Speaker 13>work with Anthropic to ensure that, you know, we optimize

0:44:47.360 --> 0:44:49.560
<v Speaker 13>our training and Inferentia technology going forward.

0:44:49.760 --> 0:44:52.920
<v Speaker 7>That's the benefit for customers. And yes, as part of this.

0:44:53.239 --> 0:44:56.560
<v Speaker 13>We're pleased to be making an adial an initial investment

0:44:56.600 --> 0:45:00.960
<v Speaker 13>of one point twenty five billion dollars into Anthropic's financial investment,

0:45:01.480 --> 0:45:04.320
<v Speaker 13>and that could go up as high as four billions,

0:45:04.760 --> 0:45:07.840
<v Speaker 13>as you said, over time. But it's really driven around

0:45:07.840 --> 0:45:09.719
<v Speaker 13>customer value and what this is going to mean to

0:45:09.800 --> 0:45:14.040
<v Speaker 13>customers who are very, very determined as they should be,

0:45:14.560 --> 0:45:18.280
<v Speaker 13>to figure out generative AI strategies. We already are working

0:45:18.360 --> 0:45:22.400
<v Speaker 13>in depth with customers, as is Anthropic on forming those

0:45:22.440 --> 0:45:25.279
<v Speaker 13>strategies and actually moving to execution. We have a lot

0:45:25.280 --> 0:45:29.719
<v Speaker 13>of great customers from Lonely Planet to Nexus, Lexus and

0:45:29.800 --> 0:45:32.760
<v Speaker 13>a number of others who are actually moving to production

0:45:33.160 --> 0:45:37.320
<v Speaker 13>with generative AI on AWS and Anthropic, And in addition,

0:45:37.360 --> 0:45:40.919
<v Speaker 13>as you alluded to, we'll be working with all of

0:45:40.960 --> 0:45:44.200
<v Speaker 13>the partners that our customers want to do business with.

0:45:44.280 --> 0:45:46.920
<v Speaker 13>If it's an important partner to our customers. It's going

0:45:46.960 --> 0:45:48.680
<v Speaker 13>to be an important partner to us as well.

0:45:50.200 --> 0:45:54.320
<v Speaker 12>Amazon Web Services CEO Adam Selipski, thank you.

0:45:54.320 --> 0:45:55.520
<v Speaker 5>You're listening to the tape.

0:45:55.760 --> 0:45:59.080
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0:45:59.120 --> 0:46:03.120
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0:46:03.080 --> 0:46:04.399
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0:46:04.440 --> 0:46:07.239
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0:46:07.280 --> 0:46:12.360
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0:46:13.080 --> 0:46:17.400
<v Speaker 1>Last month, existing US home sales the United States fell

0:46:17.440 --> 0:46:21.319
<v Speaker 1>by zero point seven percent from the prior month. That's

0:46:21.360 --> 0:46:24.719
<v Speaker 1>a seven month low. So higher interest rates and a

0:46:24.800 --> 0:46:28.120
<v Speaker 1>lack of supply contributing to those declinents. Let's see kind

0:46:28.120 --> 0:46:29.719
<v Speaker 1>of where we go from here. We can check in

0:46:29.760 --> 0:46:33.080
<v Speaker 1>with Lisa's start Event, chief economists at Bright Mls. She

0:46:33.160 --> 0:46:36.640
<v Speaker 1>joins us via zoom. Lisa again, it's nobody's putting. There's

0:46:36.680 --> 0:46:39.760
<v Speaker 1>no there's really no supply out there. So the net result,

0:46:39.800 --> 0:46:42.279
<v Speaker 1>there's not a lot of transactions. What do you see

0:46:42.320 --> 0:46:44.080
<v Speaker 1>going forward?

0:46:46.040 --> 0:46:49.680
<v Speaker 15>Of course, have made it more difficult for buyers, but

0:46:49.760 --> 0:46:52.560
<v Speaker 15>those higher rates have also caused a lot of existing

0:46:52.600 --> 0:46:55.359
<v Speaker 15>homeowners to stay put when they might have thought about

0:46:55.440 --> 0:46:58.960
<v Speaker 15>listing their home for sale. I think mortgage rates are

0:46:58.960 --> 0:47:02.680
<v Speaker 15>going to stay elevated throughout the fall and into the winter,

0:47:02.800 --> 0:47:05.359
<v Speaker 15>so I think inventory is going to still be very

0:47:05.480 --> 0:47:07.959
<v Speaker 15>very low for the last part of the of the year.

0:47:08.520 --> 0:47:10.400
<v Speaker 15>I think we're I do think though, we're going to

0:47:10.400 --> 0:47:13.719
<v Speaker 15>start to see buyer demand pull back even further. You

0:47:13.760 --> 0:47:17.120
<v Speaker 15>mentioned August numbers were the lowest we've seen in several months,

0:47:17.200 --> 0:47:18.880
<v Speaker 15>and I think we're going to see an even further

0:47:18.960 --> 0:47:22.399
<v Speaker 15>contraction of buyer activity in the market simply because those

0:47:22.480 --> 0:47:24.040
<v Speaker 15>rates are so high.

0:47:24.200 --> 0:47:28.040
<v Speaker 1>Is there a rate, Lisa, that you think would entice

0:47:28.080 --> 0:47:29.879
<v Speaker 1>people to come back into this market. I mean we're

0:47:29.880 --> 0:47:32.799
<v Speaker 1>now looking at the UH, you know, the thirty year

0:47:33.120 --> 0:47:38.160
<v Speaker 1>fixed like seven point sixty four percent. Here. Is there

0:47:38.160 --> 0:47:40.800
<v Speaker 1>a level, whether it's six percent, five percent, four percent,

0:47:40.840 --> 0:47:42.840
<v Speaker 1>where people start coming back into the market.

0:47:43.480 --> 0:47:44.200
<v Speaker 6>Yeah, I don't think.

0:47:44.040 --> 0:47:46.239
<v Speaker 15>We're going to see four percent UH in an eight

0:47:46.400 --> 0:47:48.919
<v Speaker 15>in any short order, for sure. You know, I think

0:47:48.920 --> 0:47:50.960
<v Speaker 15>it's I think it's not only about the level, but

0:47:51.000 --> 0:47:54.799
<v Speaker 15>also about the timing. Last year, we saw rates go

0:47:54.920 --> 0:47:57.920
<v Speaker 15>over seven percent, like right around the beginning of November,

0:47:58.160 --> 0:48:00.720
<v Speaker 15>and we saw the market just sort of shut down.

0:48:00.840 --> 0:48:04.200
<v Speaker 15>People were reacting to the higher rates, but they were

0:48:04.200 --> 0:48:06.160
<v Speaker 15>also reacting to the fact that, you know, the holidays

0:48:06.160 --> 0:48:07.920
<v Speaker 15>were coming and people were sort of just going to

0:48:07.920 --> 0:48:10.440
<v Speaker 15>take a break before they returned to the market in

0:48:10.719 --> 0:48:12.520
<v Speaker 15>the first of the year. So I think, you know,

0:48:12.560 --> 0:48:15.400
<v Speaker 15>if we see mortgage rates come down to you know,

0:48:15.480 --> 0:48:17.319
<v Speaker 15>six six and a half percent, which I don't think

0:48:17.320 --> 0:48:20.520
<v Speaker 15>we're going to see until next year, Frankly, I do

0:48:20.560 --> 0:48:24.200
<v Speaker 15>think that'll be the level that will change the landscape

0:48:24.200 --> 0:48:27.120
<v Speaker 15>for a lot of buyers and sellers, importantly bringing more

0:48:27.120 --> 0:48:28.560
<v Speaker 15>of those listings onto the market.

0:48:28.960 --> 0:48:31.160
<v Speaker 1>So, I mean, I guess the key issue here for

0:48:31.200 --> 0:48:33.520
<v Speaker 1>most people is just affordability. I mean, you know, the

0:48:34.160 --> 0:48:37.399
<v Speaker 1>given the mortgage rates and given where housing prices are,

0:48:37.520 --> 0:48:40.799
<v Speaker 1>just the affordability is just the key issue here for

0:48:40.800 --> 0:48:41.920
<v Speaker 1>a lot of potential buyers.

0:48:42.320 --> 0:48:43.759
<v Speaker 15>I think that's right. You know, we've been talking about

0:48:43.800 --> 0:48:46.600
<v Speaker 15>inventory as the main constraint on the market, but affordability

0:48:46.640 --> 0:48:48.279
<v Speaker 15>is going to be more and more of what we're

0:48:48.320 --> 0:48:51.640
<v Speaker 15>talking about. You know, rates over the last fifty years.

0:48:51.640 --> 0:48:55.320
<v Speaker 15>Mortgage rates have averaged about seven point seventy five percent

0:48:55.400 --> 0:48:58.000
<v Speaker 15>over the last four decades, So the rates we're seeing

0:48:58.040 --> 0:49:01.960
<v Speaker 15>now aren't particularly high by historic standards.

0:49:02.120 --> 0:49:02.960
<v Speaker 6>But what's very.

0:49:02.800 --> 0:49:05.520
<v Speaker 15>Different is that home prices have been rising much much

0:49:05.560 --> 0:49:09.640
<v Speaker 15>faster than incomes over the last decade or two. And

0:49:09.680 --> 0:49:13.360
<v Speaker 15>we're seeing now that affordability, when you compare household incomes

0:49:13.400 --> 0:49:17.080
<v Speaker 15>to the price of buying a home, affordability is worse

0:49:17.120 --> 0:49:21.359
<v Speaker 15>than it's been in history and is really the main

0:49:22.280 --> 0:49:25.160
<v Speaker 15>driver of people having to leave the market, particularly first

0:49:25.160 --> 0:49:28.000
<v Speaker 15>time home buyers. And that's a real problem as the

0:49:28.040 --> 0:49:31.040
<v Speaker 15>ability to accumulate well through home ownership is you know,

0:49:31.160 --> 0:49:33.600
<v Speaker 15>being is there's an obstacle to that for many first

0:49:33.600 --> 0:49:34.479
<v Speaker 15>time buyers right now.

0:49:34.920 --> 0:49:38.560
<v Speaker 1>So where are first time home buyers going? I mean,

0:49:39.400 --> 0:49:41.680
<v Speaker 1>do they just continue to rent? What do they do?

0:49:42.320 --> 0:49:43.919
<v Speaker 15>Yeah, So there's a couple of things we've been seeing.

0:49:43.960 --> 0:49:44.080
<v Speaker 3>You know.

0:49:44.120 --> 0:49:45.960
<v Speaker 15>We're seeing that first time buyers are getting a little

0:49:45.960 --> 0:49:49.000
<v Speaker 15>bit more creative. We're seeing more first time buyers who

0:49:49.120 --> 0:49:51.640
<v Speaker 15>might be you know, looking to buy a home with

0:49:51.680 --> 0:49:56.080
<v Speaker 15>their parents, for example, or looking to buy with buy

0:49:56.120 --> 0:49:57.680
<v Speaker 15>a home where they could rent out part of the

0:49:57.680 --> 0:49:59.719
<v Speaker 15>home to have that income be able to make the

0:49:59.760 --> 0:50:02.640
<v Speaker 15>month payment a little more doable. We're also seeing that

0:50:02.680 --> 0:50:05.440
<v Speaker 15>maybe first time buyers are more willing to take on

0:50:05.480 --> 0:50:07.160
<v Speaker 15>a fixer upper when that might not have been the

0:50:07.160 --> 0:50:09.720
<v Speaker 15>case a couple of years ago. But frankly, we're seeing

0:50:09.719 --> 0:50:12.800
<v Speaker 15>that folks in that first time home buying age actually

0:50:12.840 --> 0:50:15.799
<v Speaker 15>maybe deciding that renting makes the most sense. As more

0:50:16.080 --> 0:50:19.200
<v Speaker 15>apartment construction has come online, rents are actually falling in

0:50:19.239 --> 0:50:22.120
<v Speaker 15>some markets across the country, and renting might be a

0:50:22.120 --> 0:50:24.840
<v Speaker 15>better financial decision than buying at this point for those folks.

0:50:25.080 --> 0:50:27.560
<v Speaker 1>You know, when you listen to the home builders, they

0:50:27.640 --> 0:50:31.680
<v Speaker 1>talk about building these larger homes than McMansions, if you will,

0:50:31.920 --> 0:50:34.720
<v Speaker 1>because that's simply where the profit margin is, but arguably

0:50:34.719 --> 0:50:37.279
<v Speaker 1>where the demand is, or where the need is is

0:50:37.320 --> 0:50:39.560
<v Speaker 1>for some of those first time buyers as smaller homes.

0:50:39.600 --> 0:50:42.480
<v Speaker 1>But do are we seeing the homebuilders kind of move

0:50:42.520 --> 0:50:44.719
<v Speaker 1>that way? Are they sticking with where the margin is?

0:50:45.400 --> 0:50:47.160
<v Speaker 15>Yeah, you know, that's a great question. And you know,

0:50:47.200 --> 0:50:50.200
<v Speaker 15>we have seeing that the size of new build homes

0:50:50.200 --> 0:50:52.279
<v Speaker 15>has come down, and I do think that is in

0:50:52.320 --> 0:50:56.000
<v Speaker 15>response to the demand from first time home buyers. The

0:50:56.040 --> 0:50:59.440
<v Speaker 15>biggest constraint that home builders have really is the local

0:50:59.520 --> 0:51:03.000
<v Speaker 15>zoning RD relations on the ground that limit the amount

0:51:03.040 --> 0:51:05.120
<v Speaker 15>of homes that they can buy. So you talk about

0:51:05.200 --> 0:51:09.120
<v Speaker 15>profit margins, if builders were able to build more homes

0:51:09.160 --> 0:51:11.520
<v Speaker 15>on a given lot, they could build them smaller and

0:51:11.600 --> 0:51:14.759
<v Speaker 15>still make the numbers pencil out. And that really is,

0:51:14.920 --> 0:51:17.959
<v Speaker 15>you know, where the constraint is. Builders see that first

0:51:18.000 --> 0:51:20.719
<v Speaker 15>time home buyer demand and if they could make it

0:51:20.800 --> 0:51:24.439
<v Speaker 15>work in order to make a profit, they certainly would

0:51:24.440 --> 0:51:27.520
<v Speaker 15>be building there. But there's still demand all along the

0:51:27.560 --> 0:51:30.400
<v Speaker 15>price ranges, and so they're still seeing folks coming in

0:51:30.440 --> 0:51:31.920
<v Speaker 15>for those larger homes.

0:51:32.480 --> 0:51:34.919
<v Speaker 1>Is the tightness in the real estate market, the lack

0:51:34.960 --> 0:51:37.120
<v Speaker 1>of liquiditying in the real estate market. Is that a

0:51:37.120 --> 0:51:40.520
<v Speaker 1>are we seeing that across the country or the regional variances.

0:51:40.080 --> 0:51:43.239
<v Speaker 15>Of note, Yeah, you know, I think we could characterize

0:51:43.280 --> 0:51:46.239
<v Speaker 15>it as a tight inventory situation across the country for sure,

0:51:46.560 --> 0:51:48.960
<v Speaker 15>But there are places where the market is loosening up

0:51:48.960 --> 0:51:52.759
<v Speaker 15>a little bit. For example, we're seeing in markets that

0:51:52.800 --> 0:51:55.600
<v Speaker 15>have been traditionally second home and vacation home markets. We're

0:51:55.600 --> 0:51:59.120
<v Speaker 15>seeing those are places where inventory is increasing, perhaps as

0:51:59.160 --> 0:52:01.040
<v Speaker 15>people who had per just a second home or a

0:52:01.080 --> 0:52:03.640
<v Speaker 15>vacation home, or maybe a home to use as a

0:52:03.680 --> 0:52:06.799
<v Speaker 15>short term rental are listing those homes for sale. So

0:52:07.080 --> 0:52:10.240
<v Speaker 15>we are starting to see supply growing in some markets

0:52:10.239 --> 0:52:13.120
<v Speaker 15>and I expect we'll see an uptick in inventory in

0:52:13.200 --> 0:52:15.719
<v Speaker 15>other markets as we head into the end of the

0:52:15.800 --> 0:52:17.080
<v Speaker 15>year and into the first part.

0:52:16.880 --> 0:52:17.399
<v Speaker 3>Of next year.

0:52:17.800 --> 0:52:19.480
<v Speaker 1>If I want to get a mortgage, can I get

0:52:19.480 --> 0:52:20.880
<v Speaker 1>a mortgage?

0:52:21.160 --> 0:52:21.399
<v Speaker 14>Yeah?

0:52:21.600 --> 0:52:23.120
<v Speaker 15>You know, you still can get a mortgage. It still

0:52:23.120 --> 0:52:25.360
<v Speaker 15>pays to shop around, for sure. We talked about what

0:52:25.440 --> 0:52:28.960
<v Speaker 15>the average rate was on a thirty year fixed, but

0:52:29.320 --> 0:52:31.920
<v Speaker 15>it obviously varies depending on the borrower. And I think

0:52:31.960 --> 0:52:34.520
<v Speaker 15>the most important thing for a perspective home buyer right

0:52:34.520 --> 0:52:37.000
<v Speaker 15>now is to make sure you're out there shopping around

0:52:37.360 --> 0:52:40.000
<v Speaker 15>to find a lender who can provide you with the

0:52:40.440 --> 0:52:42.719
<v Speaker 15>rate and the terms that make sense for your situation.

0:52:43.360 --> 0:52:47.080
<v Speaker 15>More folks are looking at adjustable rate mortgages. We've seen

0:52:47.120 --> 0:52:50.240
<v Speaker 15>in some markets where there are a lot of VA loans,

0:52:50.280 --> 0:52:53.320
<v Speaker 15>for example, we're actually hearing more talk about assumable mortgages,

0:52:53.360 --> 0:52:56.080
<v Speaker 15>which of course is limited to the VA product and

0:52:56.080 --> 0:52:58.480
<v Speaker 15>to some other products. But I think you do need

0:52:58.520 --> 0:53:00.640
<v Speaker 15>to cast your net a little bit why to make

0:53:00.640 --> 0:53:02.840
<v Speaker 15>sure you're getting all of the options that are available

0:53:02.880 --> 0:53:03.040
<v Speaker 15>to you.

0:53:03.560 --> 0:53:05.279
<v Speaker 1>All right, Lisa, thank you so much for joining us.

0:53:05.400 --> 0:53:08.560
<v Speaker 1>I really appreciate gatting your thoughts there. Lisa Sturtevant, Chief

0:53:08.600 --> 0:53:12.239
<v Speaker 1>Economists at Bright MLS. Again, it is a tight real

0:53:12.360 --> 0:53:15.239
<v Speaker 1>estate market out there, folks. US existing home sales fell

0:53:15.280 --> 0:53:18.400
<v Speaker 1>to seventh month low on rates and supply. That was

0:53:18.440 --> 0:53:20.840
<v Speaker 1>in the month of August, down zero point seven percent

0:53:20.840 --> 0:53:24.120
<v Speaker 1>from the prior month. So not a lot getting transacted

0:53:24.120 --> 0:53:25.640
<v Speaker 1>out of there, not a lot for sale, and then

0:53:25.680 --> 0:53:27.680
<v Speaker 1>if you do find something, we've got to pay a

0:53:27.760 --> 0:53:30.040
<v Speaker 1>pretty steep mortgagery. We'll keep on top of that.

0:53:30.840 --> 0:53:33.960
<v Speaker 2>Thanks for listening to the Bloomberg Markets podcasts. You can

0:53:34.000 --> 0:53:37.800
<v Speaker 2>subscribe and listen to interviews at Apple Podcasts or whatever

0:53:37.840 --> 0:53:39.360
<v Speaker 2>podcast platform you prefer.

0:53:39.719 --> 0:53:40.520
<v Speaker 6>I'm Matt Miller.

0:53:40.800 --> 0:53:44.200
<v Speaker 2>I'm on Twitter at Matt Miller nineteen seventy three and

0:53:44.320 --> 0:53:44.800
<v Speaker 2>on Fall.

0:53:44.719 --> 0:53:47.560
<v Speaker 1>Sweeney I'm on Twitter at pt Sweeney Before the podcast.

0:53:47.600 --> 0:53:51.080
<v Speaker 1>You can always catch us worldwide at Bloomberg Radio