WEBVTT - US CPI Rises Less Than Expected, Keeping Fed on Track to Cut

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

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<v Speaker 2>Constancena joins us right now, thrilled that she could be

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<v Speaker 2>with us today. I look at where we are, and BOYD,

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<v Speaker 2>does it reaffirm? I'm gonna call it Wallerian rate cuts?

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<v Speaker 2>Are we now generating rate cuts into the first quarter

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<v Speaker 2>of next year?

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<v Speaker 3>Well? I think I said in my note to you

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<v Speaker 3>that whatever we see in today's CPI is not going

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<v Speaker 3>to reflect what's coming down the pike.

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<v Speaker 4>Right.

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<v Speaker 3>We have seen companies absorb a lot of the tariffs

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<v Speaker 3>because there's so much uncertainty. And why would you pass

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<v Speaker 3>on tariffs if you think that they're going to be

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<v Speaker 3>removed or negotiated lower. You're just going to impair your

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<v Speaker 3>market share and impair your brand. And I think that

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<v Speaker 3>is about to come to an end, and we're going

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<v Speaker 3>to see that in future CPI reports.

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<v Speaker 2>With that said, the FED is going to.

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<v Speaker 3>Cut next week, and this certainly gives them cover for

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<v Speaker 3>next week and possibly even to cut again in December.

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<v Speaker 2>Are we anywhere near the territory of a fifty basis

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<v Speaker 2>point right and cut cool? We have a dearth of data,

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<v Speaker 2>But I mean, come on, if we were just to

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<v Speaker 2>make it up, folks, it's Friday helping her folks. If

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<v Speaker 2>we made it up Constance and we said we got

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<v Speaker 2>a fifty seven thousand non farm payroll and then maybe

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<v Speaker 2>next month we get a forty two thousand non farm payroll,

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<v Speaker 2>I mean, come on, they got to get it going,

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<v Speaker 2>don't they.

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<v Speaker 3>Well, it's interesting, and I'm actually sitting here in Michigan

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<v Speaker 3>where close to GM where the where you mentioned those layoffs,

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<v Speaker 3>And certainly if you look at at a state like Michigan,

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<v Speaker 3>it's got a higher rate of unemployment than the rest

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<v Speaker 3>of the country. It's definitely suffering. And it has been

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<v Speaker 3>our view that the FED is going to look at

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<v Speaker 3>labor markets more than inflation, because they're going to look

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<v Speaker 3>through that that CPI increase that we do eventually expect

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<v Speaker 3>from tariffs, and Paul to say, the private data suggests

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<v Speaker 3>that the job market is weakening as well. Right in

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<v Speaker 3>the absence of government data, we have the ism we

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<v Speaker 3>have ADP we have.

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<v Speaker 2>Indeed, Paul I just figured it out. Constance Hunter is

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<v Speaker 2>going with Diane Swack to the Michigan Michigan State.

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<v Speaker 5>Go compan Good, good, good, Constance. I mean again, I'm

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<v Speaker 5>just looking at the CPI data today. I'm just not

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<v Speaker 5>seeing this tariff induced inflation here. I know, seems like

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<v Speaker 5>maybe the companies are just kind of taking it in

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<v Speaker 5>a P and L and we are not going to

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<v Speaker 5>see tariff induced inflation.

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<v Speaker 2>Well, I don't think.

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<v Speaker 3>That that means we're never going to see it. On

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<v Speaker 3>the other hand, I mean, I guess there is the

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<v Speaker 3>possibility that firms find ways to be efficient and absorb

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<v Speaker 3>these tariff costs, but it seems somewhat unlikely, and firms,

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<v Speaker 3>if you survey them, have said they want to pass

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<v Speaker 3>on tariff price increases. But it's really challenging when you

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<v Speaker 3>think of what a CA shaped economy we are in,

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<v Speaker 3>right that top ten percent of consumers of wage earners

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<v Speaker 3>are also those that own equities and are participating in

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<v Speaker 3>this bowl market. Where's the bottom part of that k

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<v Speaker 3>We're starting to see increased delinquencies with credit cards and

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<v Speaker 3>auto loans. Those are levels that we saw coming out

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<v Speaker 3>of the global financial crisis, and that indicates that that

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<v Speaker 3>segment of the market is really struggling.

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<v Speaker 5>So where will we see that when we see that

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<v Speaker 5>in consumer spending? Will we see that in retail sales?

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<v Speaker 5>Where do you think we'll see that?

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<v Speaker 3>Well, we're not going to see it in retail sales

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<v Speaker 3>because it's not inflation adjusted. So if anything, we might

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<v Speaker 3>see retail sales go up a bit, but I think

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<v Speaker 3>we'll see it in the inflation adjusted consumer spending numbers.

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<v Speaker 3>Households are going to have to pull back.

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<v Speaker 2>And the other thing is, while it's not in.

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<v Speaker 3>This report, the anticipation is that we're going to see

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<v Speaker 3>upward pressure on utilities like electricity, which is going to

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<v Speaker 3>curb the ability of households to spend in other areas.

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<v Speaker 5>Labor market here, that's another mandate of this Federal Reserve.

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<v Speaker 5>The headline numbers look fine, but I know there are

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<v Speaker 5>definitely some concerns underneath the hood there. How do you

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<v Speaker 5>think about the US labor market?

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<v Speaker 3>Well, the labor market is weakening because we're seeing a

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<v Speaker 3>declining breadth that we have seen for some time now.

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<v Speaker 3>I'm looking at them talking about the August data. Of course,

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<v Speaker 3>we don't have that September data. And then if we

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<v Speaker 3>look at again alternative indicators. So so if you look

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<v Speaker 3>at the ISM employment indicator, that's been a very good

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<v Speaker 3>especially on service, is a very good predictor of overall

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<v Speaker 3>jobs growth, and that also is weak. And then we're

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<v Speaker 3>seeing a pullback in state and local hiring. The state

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<v Speaker 3>and local municipalities received huge windfall money from the rise

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<v Speaker 3>in real estate prices, and they were hiring a deficit

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<v Speaker 3>of workers that they didn't hire coming out of the

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<v Speaker 3>global financial crisis.

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<v Speaker 2>Comes as quickly. Here does a president deserve to be

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<v Speaker 2>impatient with the Fed?

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<v Speaker 3>Well, it depends on what you think the Fed's job is.

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<v Speaker 4>Right.

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<v Speaker 3>If you think the Fed's job is to move fast,

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<v Speaker 3>break things, be anticipatory, behave like a hedge fund, I

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<v Speaker 3>suppose yes. But by design, the FED is supposed.

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<v Speaker 6>To be a little late to.

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<v Speaker 2>React because if they react.

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<v Speaker 3>Preemptively and they're wrong, there's much more downside risk then

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<v Speaker 3>there than if they're fashionably late but still in the

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<v Speaker 3>right direction like that fashionly lady.

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<v Speaker 2>Yes, Constant, thank you so much. Constance Hunter. Coming to

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<v Speaker 2>us to the Economic Intelligence Unit today on this inflation

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<v Speaker 2>to review here REQUIESCE and report futures up twenty two

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<v Speaker 2>they double features up forty one, up sixtents of a percent,

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<v Speaker 2>Nazak one hundred and features up one percent, now a

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<v Speaker 2>point nine percent as well, the vics solidly under seventeen wow,

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<v Speaker 2>sixteen point sixty four. Speaking of well, let's do this

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<v Speaker 2>first Bloomberg surveillance. I'm so out of practice with their data, Paul,

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<v Speaker 2>I know, it's a shock to have data. He is

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<v Speaker 2>at the height of fashion at all time. It's good

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<v Speaker 2>to catch up and get a framework for the weekend

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<v Speaker 2>with Kit Jukes. He's had a foreign exchange strategy at

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<v Speaker 2>Society General. Kit just cut to the chase. What are

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<v Speaker 2>you going to write about for Monday within the geopolitics

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<v Speaker 2>that you see the litmus paper of the foreign exchange system?

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<v Speaker 2>What's your theme to get to Monday morning?

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<v Speaker 7>Going into Monday morning, I suspect it's going to be

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<v Speaker 7>the resilience of this strong dollar. In all honesty, even

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<v Speaker 7>just looking now over my shoulder at what's going on

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<v Speaker 7>since the release of a soft CPI print, the market

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<v Speaker 7>is not you know, it's going to price in some

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<v Speaker 7>rate cuts from the Fed with more enthusiasm at the

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<v Speaker 7>margin than before. We don't know much more than we did,

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<v Speaker 7>but we'll price a little bit more enthusiastically on easing.

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<v Speaker 7>And I'm not seeing the dollar backing off very much

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<v Speaker 7>at all on that because and it's.

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<v Speaker 2>Sorry, no, not continue, please please, I.

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<v Speaker 7>Was going to say, because the CPI numbers don't tell

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<v Speaker 7>us anything new about growth, and that's where the real

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<v Speaker 7>debate about the US economy is going to happen.

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<v Speaker 2>What you're so good at, kit, Is there a bet

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<v Speaker 2>in the market right now?

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<v Speaker 7>I think the market's betting on rate carts, but it's

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<v Speaker 7>also betting on resilient growth. That keeps me confused. And

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<v Speaker 7>I should add this is the most dollar centric, US

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<v Speaker 7>centric economic cycle that I can remember in ages because

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<v Speaker 7>the uncertainty around the US GDP numbers retail sales number

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<v Speaker 7>because sure prize numbers is much bigger than the uncertainty

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<v Speaker 7>about the lack of growth in Europe or in Asia.

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<v Speaker 7>So it's all about you, guys, and and we're getting

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<v Speaker 7>no information. So when we get some we think the

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<v Speaker 7>we think the labor market's weakening, but not knowing more

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<v Speaker 7>where I think collectively assuming that we shouldn't be revising

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<v Speaker 7>down GDP forecasts so that there's lots of productivity, there's

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<v Speaker 7>lots of ail, there's lots of good things. The equity

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<v Speaker 7>market's still strong. So US exceptionalism is still in place.

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<v Speaker 7>That bet is there. Today's soft CPI prints will encourage

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<v Speaker 7>rate cuts, but they won't change that optimism about the

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<v Speaker 7>economy is my bet.

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<v Speaker 5>And Kit it's interesting for me at least to hear

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<v Speaker 5>you say it's it's it's still all about the US,

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<v Speaker 5>US exceptionalism because the trade has been that. It's you know,

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<v Speaker 5>it's kind of about you guys over in Europe. I mean,

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<v Speaker 5>you're starting to spend some money on defense and infrastructure,

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<v Speaker 5>and you know you can't really depend upon the US

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<v Speaker 5>to the extent that you did maybe you did before.

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<v Speaker 5>How do you think about that dynamic? Because we do

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<v Speaker 5>have the euro again add at one sixteen here, well, the.

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<v Speaker 7>Europopped up to one sixteen on a move down in

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<v Speaker 7>US rate expectations that narrawed the gap significantly, on some

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<v Speaker 7>optimism in growth. Obviously the fiscal problems in France haven't

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<v Speaker 7>helped on that. And equally that there's a there's not

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<v Speaker 7>a huge amount of you know, there's hope, but if

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<v Speaker 7>we look at the if we look at the exceptional

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<v Speaker 7>spending that the Germans were getting ready to unleash. It's

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<v Speaker 7>not happening fast enough. So you see, the real performers

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<v Speaker 7>in Europe are the people that can be more fleet

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<v Speaker 7>of foot. The Swedish Chrona has been doing very well

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<v Speaker 7>because they are going to be they have a bigger

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<v Speaker 7>arms industry their economy, but they also are pushing forwards.

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<v Speaker 7>The Norwegian kroner is doing really well. The euro is

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<v Speaker 7>lagging those and the Swiss Frank is doing as well

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<v Speaker 7>as the euro is speaks volumes about safe Aden's that's right.

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<v Speaker 2>Where I wanted to go. Audrey Child Freeman with Bloomberg

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<v Speaker 2>at Queen Victoria's Street Kit was just brilliant yesterday. And

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<v Speaker 2>analyzing Swiss franc I mean, I guess it's out of

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<v Speaker 2>the purview of many of our listeners and viewers explain

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<v Speaker 2>the ramifications for America, for Zurich, for Geneva. If the

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<v Speaker 2>Swiss Frank breaks to new strength.

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<v Speaker 7>I think it causes I mean, I think people will

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<v Speaker 7>then turn around and see much more clearly that there's

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<v Speaker 7>money chasing Haven's. That the money that we see enthusiastically

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<v Speaker 7>going to gold, because we quite like that story that Actually,

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<v Speaker 7>this is a world where people want to put their

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<v Speaker 7>money somewhere safe and a vault deep underneath the alps.

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<v Speaker 7>That that's not animal spirits in the sense that we

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<v Speaker 7>know and understand them. So it tells people that although

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<v Speaker 7>the US economy is dominant, people aren't really confident in

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<v Speaker 7>the dollar, and they're not confident in the euroe. They're

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<v Speaker 7>not confident in the yet. And hey, hey, presto, we

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<v Speaker 7>don't mind if the rates of zero were coming to Switzerland.

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<v Speaker 2>Kitchooks, thanks for the brief wait too short, Kitchooks for

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<v Speaker 2>society general. Let us know kid, when you're in New

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<v Speaker 2>York City next. I'm honored to have you in the studio.

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<v Speaker 2>Stay with us. More from Bloomberg Surveillance coming up after this.

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

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<v Speaker 2>Michael Darta joins some roth capital here steeped in Wisconsin economics. Michael,

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<v Speaker 2>I'm just going to cut to the chase. Everyone's head spinning,

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<v Speaker 2>and yet we just got a disinflationary vector. All in all,

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<v Speaker 2>like we got real GDP wrong and nominal GDP wrong

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<v Speaker 2>this year, are we getting massively wrong? The need for

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<v Speaker 2>the FED to cut where they're.

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<v Speaker 6>Going to have to pick it up, Well, that is

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<v Speaker 6>yet to be seen.

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<v Speaker 4>Tom, I think the FED is a little bit on

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<v Speaker 4>a preset course here at for the next two meetings,

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<v Speaker 4>and then we'll see what happens to this big divergence

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<v Speaker 4>between the labor market data which has been exceptionally weak

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<v Speaker 4>and the activity indicators. Uh, you know, looks like Q

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<v Speaker 4>three probably ended on a pretty strong note with underlying

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<v Speaker 4>you know, real growth pretty close to three percent and

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<v Speaker 4>you know, not nominal you know, up in the fives.

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<v Speaker 4>You know, that is not a picture of an economy

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<v Speaker 4>that needs a lot of monetary support. Yet the labor

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<v Speaker 4>market indicators that the fees watching have been have been weak,

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<v Speaker 4>and and so there's a bit of a divergence and puzzle.

0:12:40.640 --> 0:12:42.240
<v Speaker 6>That I think needs to be solved there.

0:12:43.280 --> 0:12:43.480
<v Speaker 2>You know.

0:12:44.080 --> 0:12:46.880
<v Speaker 5>Tom Michael is a native of Wisconsin. He did graduate

0:12:46.880 --> 0:12:50.760
<v Speaker 5>from the University Wisconsin at Whitewater, but it lives in Naples, Florida.

0:12:50.800 --> 0:12:54.720
<v Speaker 5>He bailed on the Wisconsin winters residents.

0:12:54.800 --> 0:12:56.480
<v Speaker 2>Yeah, I mean, you know, I mean.

0:12:56.400 --> 0:12:58.800
<v Speaker 5>I see these Wisconsin people that you know, they're all

0:12:58.840 --> 0:13:00.000
<v Speaker 5>they just they go to Florida.

0:13:00.160 --> 0:13:04.480
<v Speaker 2>A transportation of the dogs, keeping united in delting in chips.

0:13:04.559 --> 0:13:06.880
<v Speaker 5>Hey, Michael, So we're not I guess if youuld just

0:13:06.880 --> 0:13:09.480
<v Speaker 5>look at the CPI print today, we're not seeing any

0:13:09.880 --> 0:13:13.760
<v Speaker 5>real tariff induced inflation in this economy.

0:13:14.840 --> 0:13:17.520
<v Speaker 2>Does that surprise you, Well.

0:13:17.400 --> 0:13:20.680
<v Speaker 4>We definitely saw a lift, you know, mostly in goods

0:13:20.720 --> 0:13:23.280
<v Speaker 4>prices over the course of the last few months.

0:13:23.520 --> 0:13:25.839
<v Speaker 6>And that may be easing back now.

0:13:26.760 --> 0:13:28.880
<v Speaker 4>But I will say this, I mean, the bond market

0:13:28.920 --> 0:13:32.000
<v Speaker 4>does not look like it's really concerned about inflation. The

0:13:32.320 --> 0:13:34.920
<v Speaker 4>bond yields have fallen from a high of four point

0:13:34.960 --> 0:13:37.640
<v Speaker 4>eight percent early in the year. You know, we're just

0:13:37.679 --> 0:13:41.120
<v Speaker 4>a touch below four now. Inflation expectations in the bond

0:13:41.160 --> 0:13:43.840
<v Speaker 4>market have been coming down. That's a forward looking measure,

0:13:44.480 --> 0:13:47.120
<v Speaker 4>and so I think a lot of the tariff oriented

0:13:47.440 --> 0:13:51.760
<v Speaker 4>upward pressure on inflation is likely to be quite temporary.

0:13:52.760 --> 0:13:56.040
<v Speaker 4>And that's exactly what forward looking markets are saying. I'll

0:13:56.080 --> 0:13:59.679
<v Speaker 4>also throw this out. There's a private sector group called Trueflation.

0:14:00.040 --> 0:14:03.240
<v Speaker 4>The data is on the Bloomberg terminal and they update

0:14:03.480 --> 0:14:06.760
<v Speaker 4>daily in terms of year over year inflation readings, and

0:14:06.800 --> 0:14:10.240
<v Speaker 4>it's a much broader swath of prices. The CPI is

0:14:10.280 --> 0:14:14.040
<v Speaker 4>based on about ninety thousand prices. The True Inflation Index,

0:14:14.120 --> 0:14:19.520
<v Speaker 4>which is blockchain based, is driven by fifteen million or

0:14:19.520 --> 0:14:23.720
<v Speaker 4>so prices, and that's pretty close to two percent, And

0:14:23.920 --> 0:14:28.880
<v Speaker 4>historically it doesn't typically undershoot overall CPI inflation, So there's

0:14:28.960 --> 0:14:32.680
<v Speaker 4>not an obvious downward bias there. It's just higher frequency

0:14:32.720 --> 0:14:36.160
<v Speaker 4>and it's you know, it's measuring a much broader swath

0:14:36.280 --> 0:14:40.600
<v Speaker 4>of prices, and this kind of a divergence is exactly

0:14:40.640 --> 0:14:44.320
<v Speaker 4>what you'd expect with a one time relative price shock

0:14:44.400 --> 0:14:45.200
<v Speaker 4>from the tariffs.

0:14:45.200 --> 0:14:46.640
<v Speaker 6>It's very different.

0:14:46.280 --> 0:14:49.760
<v Speaker 4>From a monetary inflation, and so that definitely gives the

0:14:49.760 --> 0:14:52.800
<v Speaker 4>FED a bit more room to maneuver here to try

0:14:52.840 --> 0:14:55.440
<v Speaker 4>to support the labor market trueflation.

0:14:56.480 --> 0:14:59.280
<v Speaker 5>Tom, I've worked here at Bloomberg for sixteen years. This guy,

0:14:59.360 --> 0:15:01.640
<v Speaker 5>this Michael Dark guy, just taught me a Bloomberg function

0:15:01.680 --> 0:15:02.720
<v Speaker 5>I didn't even know existed.

0:15:04.040 --> 0:15:05.480
<v Speaker 2>The history here, I mean, we've got to get to

0:15:05.520 --> 0:15:07.760
<v Speaker 2>the market open here. But I really want to express

0:15:08.160 --> 0:15:11.360
<v Speaker 2>the originality of what young Darda did years ago. He

0:15:11.440 --> 0:15:14.600
<v Speaker 2>used to put out he worked for Jude Weninski. It

0:15:14.640 --> 0:15:18.120
<v Speaker 2>was legendary when he was like eighteen years old, and

0:15:18.160 --> 0:15:20.200
<v Speaker 2>then he went over and all of a sudden there

0:15:20.200 --> 0:15:24.640
<v Speaker 2>were these research reports melding the market and economics. And

0:15:24.640 --> 0:15:26.320
<v Speaker 2>the only reason we talked to him is he used

0:15:26.320 --> 0:15:29.840
<v Speaker 2>Bloomberg terminal screens boom, and it was like ed Heimens.

0:15:30.560 --> 0:15:34.520
<v Speaker 2>People were like stealing research from data over the years.

0:15:34.520 --> 0:15:36.440
<v Speaker 2>Now at rough Capital, Michael, I think I want to

0:15:36.480 --> 0:15:40.960
<v Speaker 2>focus on the equity markets. Here it's Friday, and I'm

0:15:40.960 --> 0:15:45.240
<v Speaker 2>going to get my angst of gloom crew rationalizing this

0:15:45.320 --> 0:15:48.880
<v Speaker 2>is going to end. What's your treatment? Speaking of Jude Weininsky,

0:15:49.360 --> 0:15:53.000
<v Speaker 2>of the history of great bull markets, how do they end?

0:15:53.280 --> 0:15:56.240
<v Speaker 4>Well, Tom, you know, if you want some efficient markets

0:15:56.320 --> 0:16:00.760
<v Speaker 4>hypothesis and theory here you know the market will end

0:16:00.800 --> 0:16:05.320
<v Speaker 4>when the profits expansion ends. So typically bear markets are

0:16:05.320 --> 0:16:10.040
<v Speaker 4>clustered around recessionary periods. But here, how's this for a statistic.

0:16:10.600 --> 0:16:13.440
<v Speaker 4>Ninety percent of the time post World War Two, the

0:16:13.480 --> 0:16:16.720
<v Speaker 4>economy is in an expansion phase, not a contraction phase,

0:16:17.280 --> 0:16:19.640
<v Speaker 4>and the equity market tends to go up about seventy

0:16:19.680 --> 0:16:23.040
<v Speaker 4>five percent of the time. So the default position should

0:16:23.080 --> 0:16:27.120
<v Speaker 4>be more optimistic than pessimistic. All of that said, people

0:16:27.200 --> 0:16:30.880
<v Speaker 4>are nervous because the valuations are quite high concentrated and

0:16:31.040 --> 0:16:34.680
<v Speaker 4>infotech and the AI driven story, but that's not going

0:16:34.720 --> 0:16:37.080
<v Speaker 4>to be enough to know, to cause the market to

0:16:37.160 --> 0:16:39.480
<v Speaker 4>crack here. I really think you'd need to have the

0:16:39.560 --> 0:16:43.240
<v Speaker 4>earning story evaporate. Q three earnings have been pretty good

0:16:43.280 --> 0:16:45.720
<v Speaker 4>so far, high single digits. It looks like we're probably

0:16:45.720 --> 0:16:48.520
<v Speaker 4>going to end up double digits year over year for

0:16:48.600 --> 0:16:52.760
<v Speaker 4>earnings growth. So as long as that support structures under

0:16:52.800 --> 0:16:56.160
<v Speaker 4>the equity market, you know, I think we'll probably hold

0:16:56.160 --> 0:16:57.720
<v Speaker 4>on to most of these games.

0:16:58.120 --> 0:17:01.120
<v Speaker 5>Michael, what's your view of the US labor market here?

0:17:01.160 --> 0:17:05.600
<v Speaker 5>The headline numbers seem pretty more than fine, more than good,

0:17:05.600 --> 0:17:07.480
<v Speaker 5>but I know there are concerns under the hood.

0:17:08.480 --> 0:17:11.800
<v Speaker 4>Yeah, there are some concerns, Paul. You know, the ADP

0:17:12.000 --> 0:17:15.600
<v Speaker 4>figures that we have through September showed actual job declines

0:17:15.640 --> 0:17:17.520
<v Speaker 4>in three out of the last four months. That's not

0:17:17.640 --> 0:17:20.320
<v Speaker 4>typically something that you would see in a healthy economy.

0:17:20.800 --> 0:17:24.480
<v Speaker 4>Yet the activity indicators I mentioned, GDP tracking and so

0:17:24.560 --> 0:17:28.480
<v Speaker 4>forth still look pretty strong. There's a Dallas Fed index

0:17:28.520 --> 0:17:31.840
<v Speaker 4>that is weekly that scaled to year to year GDP growth,

0:17:31.920 --> 0:17:33.280
<v Speaker 4>and that's still running up.

0:17:33.440 --> 0:17:33.679
<v Speaker 2>You know.

0:17:33.760 --> 0:17:35.840
<v Speaker 6>Above two percent, and.

0:17:35.840 --> 0:17:38.719
<v Speaker 4>So I think what could end up happening here is

0:17:38.760 --> 0:17:41.320
<v Speaker 4>that as we move into next year, we'll see some

0:17:41.400 --> 0:17:44.240
<v Speaker 4>of these jobs figures improve. I think the tariff and

0:17:44.320 --> 0:17:48.040
<v Speaker 4>uncertainty shock caused employers to pull back, But if the

0:17:48.040 --> 0:17:50.800
<v Speaker 4>top line growth is still there, the profitability story is

0:17:50.840 --> 0:17:53.680
<v Speaker 4>still intact, then you know pretty unlikely that you would

0:17:53.720 --> 0:17:56.760
<v Speaker 4>see the labor market completely fall out of bed. And

0:17:56.800 --> 0:17:59.520
<v Speaker 4>that is something you know, Tom asked about the FED.

0:17:59.600 --> 0:18:02.840
<v Speaker 4>And if the easing expectations were too aggressive. If we

0:18:02.920 --> 0:18:05.159
<v Speaker 4>do start to see a better tone and tenor to

0:18:05.240 --> 0:18:08.119
<v Speaker 4>the employment data, you know, the market will have to

0:18:08.200 --> 0:18:12.159
<v Speaker 4>reprice the the totality of the easing cycle that you

0:18:12.200 --> 0:18:13.720
<v Speaker 4>know is now pretty aggressive.

0:18:14.080 --> 0:18:16.840
<v Speaker 2>Michael Data. Thank you so much, Ruth Kapa, I really

0:18:16.840 --> 0:18:20.760
<v Speaker 2>appreciate it. Stay with us. More from Bloomberg Surveillance coming

0:18:20.840 --> 0:18:28.880
<v Speaker 2>up after this.

0:18:28.880 --> 0:18:32.800
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:18:32.840 --> 0:18:36.240
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:18:36.280 --> 0:18:39.240
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:18:39.320 --> 0:18:42.879
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:18:42.920 --> 0:18:45.560
<v Speaker 1>Say Alexa Play Bloomberg eleven thirty.

0:18:45.320 --> 0:18:48.399
<v Speaker 2>One LUs A Palti Guswin right now, founder Vista Energy.

0:18:48.440 --> 0:18:52.440
<v Speaker 2>She has been absolutely fabulous about the larger politics of it.

0:18:52.840 --> 0:18:57.479
<v Speaker 2>Just a Friday question, maybe the president meets with the president.

0:18:57.520 --> 0:19:03.119
<v Speaker 2>G Is China energy independent? They really rely an oil

0:19:03.200 --> 0:19:04.760
<v Speaker 2>coming through Singapore, right.

0:19:05.280 --> 0:19:09.520
<v Speaker 8>Yes, but China once, maybe one day to become independent.

0:19:09.560 --> 0:19:12.080
<v Speaker 8>They are producing a lot of hydrocarbons right now. I

0:19:12.080 --> 0:19:16.120
<v Speaker 8>mean they're producing their own coal and they are becoming

0:19:16.160 --> 0:19:20.320
<v Speaker 8>one of the largest natural gas producer. The amount of

0:19:20.320 --> 0:19:24.040
<v Speaker 8>gas they are producing now is but almost the same

0:19:24.119 --> 0:19:27.720
<v Speaker 8>as the whole African continent. But they are still importing.

0:19:27.920 --> 0:19:31.520
<v Speaker 8>They are still importers, and their strategy has been also

0:19:31.560 --> 0:19:34.920
<v Speaker 8>to create links and relationship between all those suppliers.

0:19:35.280 --> 0:19:39.399
<v Speaker 2>My head is spinning this morning with your geography. Which

0:19:39.520 --> 0:19:42.960
<v Speaker 2>geography are you most interested in? What you're writing about

0:19:42.960 --> 0:19:43.520
<v Speaker 2>for Monday?

0:19:45.359 --> 0:19:48.239
<v Speaker 8>My focus has always been global, as you can hear

0:19:48.320 --> 0:19:51.600
<v Speaker 8>with my accents. I was born and raised educated in France,

0:19:51.640 --> 0:19:54.200
<v Speaker 8>so Europe, I know it. But I've been based in

0:19:54.240 --> 0:19:57.440
<v Speaker 8>the US for twenty years now and I've been focusing

0:19:57.440 --> 0:20:02.439
<v Speaker 8>a lot on Asia. So the US maritime roots so

0:20:02.680 --> 0:20:08.119
<v Speaker 8>very global. But my sectorial is, you know, expertise is

0:20:08.320 --> 0:20:10.680
<v Speaker 8>energy commodities geologetics.

0:20:10.760 --> 0:20:14.760
<v Speaker 2>Yeah, it's not a job interview. More so, there's lots

0:20:14.800 --> 0:20:17.760
<v Speaker 2>of boats on the water that everything's floating around right now,

0:20:17.840 --> 0:20:18.560
<v Speaker 2>Is that true?

0:20:19.400 --> 0:20:21.000
<v Speaker 8>There are many boats, Yeah.

0:20:21.080 --> 0:20:21.439
<v Speaker 2>There is.

0:20:21.440 --> 0:20:24.240
<v Speaker 5>There a lot of oil in the marketplace these days.

0:20:25.280 --> 0:20:27.359
<v Speaker 8>So we have the same question on the gas side too.

0:20:27.880 --> 0:20:31.439
<v Speaker 8>There are you know, we are washed with oil and

0:20:31.440 --> 0:20:35.520
<v Speaker 8>gas potentially, but the key question for countries is how

0:20:35.560 --> 0:20:38.280
<v Speaker 8>to get it just on time in a safe manner.

0:20:38.320 --> 0:20:43.120
<v Speaker 8>Diversification of roots prices and I think we need more

0:20:43.119 --> 0:20:45.359
<v Speaker 8>oil c the countries exporting their supply.

0:20:45.520 --> 0:20:49.720
<v Speaker 5>Where do we where in reality does the Russia gas

0:20:49.760 --> 0:20:54.000
<v Speaker 5>and oil go and can that be curved or is

0:20:54.080 --> 0:20:56.200
<v Speaker 5>always going to be a way for that that those

0:20:56.359 --> 0:20:58.200
<v Speaker 5>hydrocarbons to find their way to a buyer.

0:20:58.720 --> 0:21:01.120
<v Speaker 8>Yeah, that's a great question because actually this week we've

0:21:01.119 --> 0:21:04.160
<v Speaker 8>seen a ramping up of sanctions on the European side

0:21:04.200 --> 0:21:11.040
<v Speaker 8>and on the US side. In Europe, the European Union

0:21:11.520 --> 0:21:17.320
<v Speaker 8>has agreed on phasing out Russian gas and Russian energy

0:21:18.200 --> 0:21:20.720
<v Speaker 8>by the first of January two Salon twenty six, with

0:21:20.800 --> 0:21:23.560
<v Speaker 8>a two year transition period. So they will start first

0:21:23.560 --> 0:21:27.880
<v Speaker 8>potentially with energy and then pipeline gas. Right now, there

0:21:27.920 --> 0:21:31.159
<v Speaker 8>is almost no I mean, you know, the share of

0:21:31.200 --> 0:21:34.320
<v Speaker 8>Russian gas in Europe we used to be forty five

0:21:34.400 --> 0:21:39.720
<v Speaker 8>percent is done to you know, a trivial amount and

0:21:39.880 --> 0:21:44.560
<v Speaker 8>zero into zero persons in twenty twenty eight. And so

0:21:44.600 --> 0:21:46.680
<v Speaker 8>it means that in Europe is going to be possible

0:21:48.840 --> 0:21:51.639
<v Speaker 8>with a cost potentially, So Europe is going to be

0:21:51.680 --> 0:21:55.679
<v Speaker 8>more dependent on other suppliers. Like the mix has really changed,

0:21:56.080 --> 0:21:59.159
<v Speaker 8>more Norwegian gas, more US energy into Europe.

0:22:01.160 --> 0:22:03.919
<v Speaker 5>Russian hydrocarbons. Are they going to go to India? Are

0:22:03.920 --> 0:22:05.639
<v Speaker 5>they going to go to China? Because that's kind of

0:22:05.680 --> 0:22:08.200
<v Speaker 5>where I think we Absolutely.

0:22:08.000 --> 0:22:13.640
<v Speaker 8>We've seen a reconfiguration of trid flows. The gas from Russia,

0:22:13.960 --> 0:22:18.320
<v Speaker 8>especially the sanctioned gas is going to China, like the

0:22:18.480 --> 0:22:21.560
<v Speaker 8>energy cargoes from Arctic two. Only China has been taking it.

0:22:22.000 --> 0:22:24.960
<v Speaker 2>Thank you, the sanction thing. And I'm not up to speed.

0:22:24.960 --> 0:22:29.760
<v Speaker 2>And as human Stenus is brilliant. Yesterday and Leslie, how

0:22:29.800 --> 0:22:35.639
<v Speaker 2>does India and MODI fit into successful sanctions? If Modi

0:22:35.720 --> 0:22:38.240
<v Speaker 2>doesn't play with Trump, it doesn't work, right.

0:22:38.240 --> 0:22:42.560
<v Speaker 8>Yeah, So yesterday was all about the oil sanctions, and

0:22:43.119 --> 0:22:46.160
<v Speaker 8>it's going to be a matter if they are successful,

0:22:46.200 --> 0:22:49.919
<v Speaker 8>it's going to be a matter of enforcement and whether

0:22:50.720 --> 0:22:56.520
<v Speaker 8>the US alliances are strong enough. Real mody still take

0:22:56.760 --> 0:22:59.840
<v Speaker 8>Luke oil or rost Nev oil right now after yesterday's sanction.

0:23:00.040 --> 0:23:04.119
<v Speaker 8>I'm not sure will China still take it? Probably maybe,

0:23:05.040 --> 0:23:08.280
<v Speaker 8>I think strong allies from the US, we're not there

0:23:08.359 --> 0:23:09.680
<v Speaker 8>taking this oil anymore.

0:23:09.880 --> 0:23:13.000
<v Speaker 5>Interesting so, but with Brent crew it's sixty six dollars

0:23:13.000 --> 0:23:16.600
<v Speaker 5>a barrow. The global energy complex can't be very happy

0:23:16.680 --> 0:23:19.480
<v Speaker 5>these days, don't they need oil seventy five eighty eighty

0:23:19.520 --> 0:23:20.480
<v Speaker 5>five dollars a barrel.

0:23:21.880 --> 0:23:24.879
<v Speaker 8>So it depends what you're talking to if you're a producer.

0:23:26.000 --> 0:23:29.240
<v Speaker 5>That's what I'm thinking about my friends in Texas and Oklahoma.

0:23:29.359 --> 0:23:30.920
<v Speaker 5>Not to mention the folks at Opek.

0:23:31.240 --> 0:23:35.960
<v Speaker 8>Yes, it's a fine balance. For the Trump administration, you

0:23:36.359 --> 0:23:39.560
<v Speaker 8>want the right equilibrium price. The same for Savudi Arabia,

0:23:39.640 --> 0:23:44.439
<v Speaker 8>they want the right price for their economy. In the US,

0:23:45.560 --> 0:23:48.800
<v Speaker 8>you know, we're lucky because the US has abundant oil

0:23:48.840 --> 0:23:53.360
<v Speaker 8>and gas. The producers need to see return on their investments.

0:23:54.680 --> 0:23:56.520
<v Speaker 8>What is going to be interesting to see on the

0:23:56.560 --> 0:24:00.680
<v Speaker 8>gas side is whether we're going to start using more

0:24:00.760 --> 0:24:03.439
<v Speaker 8>on the dry gas, which is less dependent from the

0:24:03.440 --> 0:24:08.280
<v Speaker 8>oil price. So just the shields that are producing only gas,

0:24:08.280 --> 0:24:11.240
<v Speaker 8>not associated oil, and in this case they are less

0:24:11.240 --> 0:24:12.440
<v Speaker 8>dependent from the oil price.

0:24:12.960 --> 0:24:13.800
<v Speaker 2>So gas.

0:24:13.960 --> 0:24:16.119
<v Speaker 5>I thought gas kind of natural gas came out of

0:24:16.640 --> 0:24:18.639
<v Speaker 5>oil wells and fracking and all that kind of stuff.

0:24:18.640 --> 0:24:21.760
<v Speaker 2>But there are separate sources of natural gas.

0:24:21.800 --> 0:24:26.120
<v Speaker 5>Civil engineering with Paul exactly, we're diving deep into this now.

0:24:26.520 --> 0:24:29.639
<v Speaker 8>So I'm talking mostly about shell gas right in the US,

0:24:29.760 --> 0:24:33.199
<v Speaker 8>and you have shell oil too some of the depending

0:24:33.240 --> 0:24:35.480
<v Speaker 8>on the bat sun the US, you get both shell

0:24:35.800 --> 0:24:38.399
<v Speaker 8>shell oil and shell gas. And then when you're moving

0:24:38.400 --> 0:24:40.720
<v Speaker 8>to different person you have only dry gas what we

0:24:40.760 --> 0:24:43.399
<v Speaker 8>call dry gas gas and it's only gas.

0:24:43.440 --> 0:24:47.400
<v Speaker 2>In ten years is the United States of America energy

0:24:47.480 --> 0:24:50.800
<v Speaker 2>independent ten years out fifteen years out?

0:24:52.040 --> 0:24:54.560
<v Speaker 8>So it depends the definition of energy in dependent. But

0:24:54.680 --> 0:24:57.520
<v Speaker 8>right now the US is the largest oil and gas

0:24:57.600 --> 0:24:59.560
<v Speaker 8>producer exporter globally.

0:25:01.040 --> 0:25:04.639
<v Speaker 5>See and that just happened like twenty sixteen. Up until

0:25:04.680 --> 0:25:08.320
<v Speaker 5>like that, we were energy importers. Great and then thanks

0:25:08.440 --> 0:25:12.760
<v Speaker 5>to the whole fracking technology, we're now net exporters.

0:25:12.840 --> 0:25:15.680
<v Speaker 2>Right. Yeah, that's awesome. This is thank you for this brief.

0:25:15.720 --> 0:25:18.760
<v Speaker 2>To have Ed Morrison from our Heart treat and to

0:25:18.800 --> 0:25:21.399
<v Speaker 2>have Leslie Palty Gozman and this has really been a

0:25:21.440 --> 0:25:22.840
<v Speaker 2>wonderful week in hydrog.

0:25:22.720 --> 0:25:25.639
<v Speaker 5>Tommy how to watch Lambmann. You'll just you'll be all

0:25:25.760 --> 0:25:26.480
<v Speaker 5>h I guess.

0:25:26.640 --> 0:25:30.160
<v Speaker 2>I'm watching slow horses. That's right, Okay, all right. Yeah.

0:25:30.440 --> 0:25:32.720
<v Speaker 2>One of my kids said, you look like Jackson Lamb.

0:25:32.760 --> 0:25:37.360
<v Speaker 2>I said, well, thank you. Uh, I'll watch Limban is it?

0:25:37.680 --> 0:25:39.840
<v Speaker 5>Yes, Yes, You're gonna love it.

0:25:39.880 --> 0:25:40.120
<v Speaker 2>Okay.

0:25:40.119 --> 0:25:41.200
<v Speaker 5>It's all about the energy.

0:25:41.160 --> 0:25:43.880
<v Speaker 2>Leslie Pault Gozman. Thank you so much, Vista Energy really

0:25:43.880 --> 0:25:48.200
<v Speaker 2>really appreciated. Stay with us. More from Bloomberg Surveillance coming

0:25:48.280 --> 0:25:56.359
<v Speaker 2>up after this.

0:25:56.359 --> 0:25:59.960
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each week

0:26:00.119 --> 0:26:02.919
<v Speaker 1>day starting at seven am Eastern on Apple, Cocklay and

0:26:02.920 --> 0:26:05.920
<v Speaker 1>Android Auto with the Bloomberg Business App. You can also

0:26:06.040 --> 0:26:09.720
<v Speaker 1>listen live on Amazon Alexa from our flagship New York station.

0:26:10.240 --> 0:26:13.160
<v Speaker 1>Just say Alexa play Bloomberg. Eleven thirty we.

0:26:13.160 --> 0:26:15.639
<v Speaker 2>Cut to the chase, joining us now for with a

0:26:15.960 --> 0:26:21.159
<v Speaker 2>question our AI Conversation of the day, Jeffery Schumacher, I'm sorry,

0:26:21.280 --> 0:26:26.800
<v Speaker 2>Ernstin Winnie Erstin Young Ey Growth Platforms leader at Ey Parthenon.

0:26:27.359 --> 0:26:30.560
<v Speaker 2>You are in the depths of this and what I

0:26:30.600 --> 0:26:33.960
<v Speaker 2>love about what you do. It's not about stupid chat

0:26:34.000 --> 0:26:37.760
<v Speaker 2>bots and tech boys with eight dollars Latte, It's about

0:26:37.840 --> 0:26:41.679
<v Speaker 2>what are companies going to do? What is Target going

0:26:41.760 --> 0:26:47.560
<v Speaker 2>to do with your neuro symbolic ail Brooks? That nailed

0:26:47.680 --> 0:26:49.640
<v Speaker 2>nailed it, nailed it, nailed it.

0:26:49.640 --> 0:26:50.040
<v Speaker 9>That's good.

0:26:50.160 --> 0:26:50.720
<v Speaker 2>Nsai.

0:26:51.080 --> 0:26:53.119
<v Speaker 9>Yes, to tell me, Like, what we have is a

0:26:53.119 --> 0:26:56.960
<v Speaker 9>growth platform, right, so it takes enterprise data, it unifies

0:26:56.960 --> 0:27:01.159
<v Speaker 9>it with other external sources, and it allows predictions around

0:27:01.160 --> 0:27:04.600
<v Speaker 9>growth that enterprises and CEOs such as Target and Cornell

0:27:04.680 --> 0:27:07.200
<v Speaker 9>back in the day can bank the bank their business?

0:27:07.200 --> 0:27:12.760
<v Speaker 2>Ow are they the audience is scared stiff about this?

0:27:13.320 --> 0:27:15.080
<v Speaker 2>How many jobs are going to go? Do you guys

0:27:15.119 --> 0:27:18.239
<v Speaker 2>have an euy parthenon? Do you have some what's going

0:27:18.280 --> 0:27:19.960
<v Speaker 2>to do to the unemployment rate? Et cetera?

0:27:21.040 --> 0:27:23.080
<v Speaker 9>Will I think you got to look at the two

0:27:23.200 --> 0:27:25.720
<v Speaker 9>sides of that that the medallion, right, there's one side

0:27:25.760 --> 0:27:29.679
<v Speaker 9>around productivity where Jennai is there. The other side is growth.

0:27:29.720 --> 0:27:33.119
<v Speaker 9>That's where Neurosymbolic plates. The growth is where you're going

0:27:33.200 --> 0:27:35.639
<v Speaker 9>to activate a lot of jobs. Right. So if you

0:27:35.720 --> 0:27:38.000
<v Speaker 9>have both sides, I think you might lose some on

0:27:38.040 --> 0:27:39.440
<v Speaker 9>the productivity, but you're going to replace.

0:27:39.480 --> 0:27:41.679
<v Speaker 2>Okay, so Target's coming out with this headline. Do you

0:27:41.760 --> 0:27:44.240
<v Speaker 2>see buried in that that they're quietly going to do

0:27:44.320 --> 0:27:47.159
<v Speaker 2>what do you call it, Paul, synergies? Yeah, Duke, they

0:27:47.200 --> 0:27:49.800
<v Speaker 2>call it synergies. They're doing synergies, but they're going to

0:27:49.840 --> 0:27:51.359
<v Speaker 2>hire people on the other side of it.

0:27:51.440 --> 0:27:53.760
<v Speaker 9>I think I think you'll see the evolution of jobs

0:27:53.800 --> 0:27:57.600
<v Speaker 9>to where these growth opportunities lie, and corporations that embrace

0:27:57.680 --> 0:28:01.200
<v Speaker 9>the neuro symbolic side of this equation favors first movers.

0:28:01.280 --> 0:28:03.199
<v Speaker 2>Did I do? Okay, that's pretty good. That was all

0:28:03.240 --> 0:28:06.600
<v Speaker 2>the viral brief I know, all right.

0:28:06.680 --> 0:28:09.520
<v Speaker 5>I think most of our listeners and viewers have some

0:28:09.680 --> 0:28:12.239
<v Speaker 5>grasp of what AI is. It's an evolutionary thing. We're

0:28:12.280 --> 0:28:15.719
<v Speaker 5>still learning. What is neurosymbolic AI.

0:28:16.080 --> 0:28:18.760
<v Speaker 9>Yeah, so if you look at the analysts, they'll tell

0:28:18.760 --> 0:28:20.240
<v Speaker 9>you it's about two to five years away.

0:28:20.400 --> 0:28:21.240
<v Speaker 2>We have it today.

0:28:21.520 --> 0:28:23.920
<v Speaker 9>The neuro side of it is the unification of data

0:28:24.119 --> 0:28:26.960
<v Speaker 9>to understand behavior, the symbolic side of the rules to

0:28:27.000 --> 0:28:27.720
<v Speaker 9>which you look at.

0:28:27.600 --> 0:28:31.439
<v Speaker 2>That behavior, and how do companies use that?

0:28:31.800 --> 0:28:35.240
<v Speaker 9>So it focuses on their commercial model. Set another way

0:28:35.280 --> 0:28:37.520
<v Speaker 9>for your listeners, how they make money? Okay, so, how

0:28:37.520 --> 0:28:40.160
<v Speaker 9>they price, how they forecast, how they enter a market,

0:28:40.240 --> 0:28:42.400
<v Speaker 9>how they create a new product, new service, how they

0:28:42.400 --> 0:28:43.760
<v Speaker 9>buy something or divest.

0:28:44.120 --> 0:28:44.760
<v Speaker 2>Don't we hire?

0:28:44.800 --> 0:28:46.920
<v Speaker 5>Don't Those companies hire lots of MBAs to figure out

0:28:46.960 --> 0:28:48.760
<v Speaker 5>how to price a product, how to market a product,

0:28:48.800 --> 0:28:50.520
<v Speaker 5>how to account for that product.

0:28:50.680 --> 0:28:53.520
<v Speaker 9>Yes, and just like in pricing, you'll have MBAs that

0:28:53.560 --> 0:28:57.080
<v Speaker 9>do regression models, but you regression, which is how you

0:28:57.120 --> 0:28:57.720
<v Speaker 9>figure out what.

0:28:57.800 --> 0:28:58.520
<v Speaker 2>Is the right price?

0:28:58.640 --> 0:29:01.200
<v Speaker 9>Right, So are you pricing for margin or you're pricing

0:29:01.240 --> 0:29:04.800
<v Speaker 9>for growth? Neurosymbolic can take, well, what market are you in,

0:29:05.080 --> 0:29:07.840
<v Speaker 9>who are your competitive sets? What if the products don't

0:29:07.840 --> 0:29:10.720
<v Speaker 9>line up? All of those things, which that tree of

0:29:10.800 --> 0:29:13.920
<v Speaker 9>reasoning grows right, and neurosymbolic allows you to apply all

0:29:13.920 --> 0:29:16.560
<v Speaker 9>of that and grab margin that you otherwise wouldn't get.

0:29:16.560 --> 0:29:19.440
<v Speaker 9>We had one business. We created eight million an e

0:29:19.560 --> 0:29:21.440
<v Speaker 9>BIT on a fifty million dollar business, and.

0:29:21.480 --> 0:29:24.800
<v Speaker 2>How many jobs exited in that example? It's more how

0:29:24.840 --> 0:29:27.440
<v Speaker 2>many jobs created in that example on a net basis?

0:29:27.520 --> 0:29:28.520
<v Speaker 2>Jobs or created.

0:29:28.320 --> 0:29:29.400
<v Speaker 9>Jobs are created on a net.

0:29:29.600 --> 0:29:31.320
<v Speaker 2>I mean, I'm going to be honest, folks, I'm in

0:29:31.320 --> 0:29:33.560
<v Speaker 2>that camp, which is this is all going to end up?

0:29:33.600 --> 0:29:36.480
<v Speaker 2>I said this at the CFA, Sorry last night at

0:29:36.520 --> 0:29:40.440
<v Speaker 2>the Luzzetti building. I'm sorry. I'm in the camp where

0:29:40.440 --> 0:29:43.400
<v Speaker 2>this is going to be net positive. X percent of

0:29:43.440 --> 0:29:48.080
<v Speaker 2>my audience totally disagrees with what I said, Jeff, speak

0:29:48.120 --> 0:29:52.200
<v Speaker 2>to the people's scared stiff that fourteen point two percent

0:29:52.520 --> 0:29:55.160
<v Speaker 2>of every company's jobs are going to walk out the door.

0:29:55.320 --> 0:29:57.520
<v Speaker 9>Yes, So if you look at productivity, Tom, I agree

0:29:57.560 --> 0:29:59.080
<v Speaker 9>with you. There are things that you're going to do

0:29:59.120 --> 0:30:01.680
<v Speaker 9>faster and more. Now, if you're just doing that, you're

0:30:01.720 --> 0:30:04.320
<v Speaker 9>going to reduction and jobs on that side. But on

0:30:04.360 --> 0:30:06.120
<v Speaker 9>the other side, you're going to create jobs. I'll give

0:30:06.120 --> 0:30:10.680
<v Speaker 9>you another one example a manufacturer, big equipment manufacturer.

0:30:10.080 --> 0:30:14.200
<v Speaker 2>John Deere. Good example, like, very similar. It's only when

0:30:14.200 --> 0:30:16.520
<v Speaker 2>I know, so go with it, John Dear. What is

0:30:16.640 --> 0:30:20.240
<v Speaker 2>neuro what's it called neurosymbolic? Hey, the red sox the

0:30:20.640 --> 0:30:24.480
<v Speaker 2>neuro symbolic A. What is neuro symbolic? AI going to

0:30:24.520 --> 0:30:25.920
<v Speaker 2>do to Puia Illinois?

0:30:25.960 --> 0:30:27.720
<v Speaker 9>I love that, John, So if you take John Deere,

0:30:27.800 --> 0:30:30.200
<v Speaker 9>you can take telemetrics data, and you can take the

0:30:30.360 --> 0:30:33.080
<v Speaker 9>financing data when they sell a machine, and you can

0:30:33.120 --> 0:30:37.080
<v Speaker 9>apply that to OSHA data coming from the government. And

0:30:37.080 --> 0:30:38.720
<v Speaker 9>guess what I can do for John Deere, Well, they

0:30:38.760 --> 0:30:40.760
<v Speaker 9>finance all their products. Well, now I can create an

0:30:40.760 --> 0:30:43.040
<v Speaker 9>insurance on the bottom side or the backside of that,

0:30:43.440 --> 0:30:48.920
<v Speaker 9>so they have a better By taking in telemetrics data,

0:30:48.960 --> 0:30:51.160
<v Speaker 9>the machine data, OSHA data from the government telling you

0:30:51.240 --> 0:30:54.520
<v Speaker 9>cite location construction, and then the financing data, I can

0:30:54.520 --> 0:30:57.600
<v Speaker 9>build a better underwriting model than an insurance company.

0:30:57.640 --> 0:30:58.720
<v Speaker 2>I just created a whole.

0:30:58.520 --> 0:31:00.800
<v Speaker 9>New revenue line for John Deere, a whole set of

0:31:00.840 --> 0:31:04.240
<v Speaker 9>new employees for John Deere, and a whole changing their

0:31:04.280 --> 0:31:07.360
<v Speaker 9>margin mix and revenue mix of their business. Which if

0:31:07.360 --> 0:31:10.240
<v Speaker 9>you change your margin profile, you change your ebitdebt profile,

0:31:10.520 --> 0:31:13.520
<v Speaker 9>change the multiple, therefore your market capitalization. Right there, Tom,

0:31:13.800 --> 0:31:15.760
<v Speaker 9>I just probably added thirty percent of the market cap

0:31:15.760 --> 0:31:16.360
<v Speaker 9>at John Deere.

0:31:16.640 --> 0:31:17.120
<v Speaker 2>Nice.

0:31:17.360 --> 0:31:19.160
<v Speaker 5>Well, I'm just convinced that the first three or four

0:31:19.200 --> 0:31:22.800
<v Speaker 5>years of my investment backing career can be completely replaced

0:31:22.840 --> 0:31:25.000
<v Speaker 5>by AI. I mean, all I did is make pitch

0:31:25.040 --> 0:31:28.240
<v Speaker 5>books and proofrea prospectuses, and that can all be done.

0:31:28.360 --> 0:31:31.440
<v Speaker 5>When you go to the board of a company, I'm

0:31:31.440 --> 0:31:35.080
<v Speaker 5>sure the board's asking, what's this return I should be

0:31:35.160 --> 0:31:38.240
<v Speaker 5>getting on all these investments I've been making on AI

0:31:38.280 --> 0:31:40.520
<v Speaker 5>over the last two or three years. How do you

0:31:40.560 --> 0:31:42.280
<v Speaker 5>kind of frame that out for them? The return on

0:31:42.360 --> 0:31:43.200
<v Speaker 5>AI investments.

0:31:43.240 --> 0:31:44.880
<v Speaker 9>Well, I think there's you got to understand there's two

0:31:44.920 --> 0:31:47.600
<v Speaker 9>sides to that medallion. One side is productivity, there's your

0:31:47.640 --> 0:31:50.120
<v Speaker 9>Genai and your Augentic, and the other side is growth.

0:31:50.160 --> 0:31:52.680
<v Speaker 9>There is Neurosymbolic. So when you look at those two,

0:31:52.720 --> 0:31:55.160
<v Speaker 9>you're going to have your productivity gains, which means you're

0:31:55.160 --> 0:31:56.680
<v Speaker 9>going to be able to write emails faster, You're going

0:31:56.720 --> 0:31:58.400
<v Speaker 9>to be able to do call center scripts faster, You're

0:31:58.400 --> 0:32:01.080
<v Speaker 9>gonna be able to do all thosings faster. Neurosymbolic is

0:32:01.080 --> 0:32:04.160
<v Speaker 9>going to give you the precision to understand where the

0:32:04.240 --> 0:32:07.240
<v Speaker 9>value is in market. And what we've seen with Neurosymbolic

0:32:07.280 --> 0:32:09.840
<v Speaker 9>in the companies that we're working with using it, it

0:32:09.920 --> 0:32:13.480
<v Speaker 9>favors dramatically first movers and tom to your example, you're

0:32:13.480 --> 0:32:15.800
<v Speaker 9>going to go play moneyball, and you're going to when

0:32:15.800 --> 0:32:18.440
<v Speaker 9>everybody else is buying players, you're buying wins, and you're

0:32:18.440 --> 0:32:20.560
<v Speaker 9>buying wins by buying runs, and you're buying runs by

0:32:20.600 --> 0:32:23.120
<v Speaker 9>getting on base. And if you if you build that,

0:32:23.280 --> 0:32:25.440
<v Speaker 9>you'll build a team for a fraction of the dollars

0:32:25.520 --> 0:32:27.120
<v Speaker 9>and in two thousand and three, you win more games

0:32:27.120 --> 0:32:28.360
<v Speaker 9>thannybody else in American League.

0:32:29.000 --> 0:32:32.080
<v Speaker 2>This sounds like a Brewers fan. So what can you

0:32:32.120 --> 0:32:36.400
<v Speaker 2>mentioned medallion twice? If I get an Ey Parthenon medallion,

0:32:36.720 --> 0:32:40.400
<v Speaker 2>can I convince after thought to empty the dishwasher this weekend?

0:32:40.680 --> 0:32:42.720
<v Speaker 2>I mean, what side of them? What's a medalion?

0:32:42.880 --> 0:32:46.120
<v Speaker 9>Well, it's not a Medallion's just an example of the

0:32:46.120 --> 0:32:47.560
<v Speaker 9>way to think about it. If you want to branch

0:32:47.600 --> 0:32:50.800
<v Speaker 9>it into two, use me see another business term, mutually exclusive,

0:32:50.840 --> 0:32:54.280
<v Speaker 9>collectively exhausted. One side is productivity, Jennai. The other side

0:32:54.400 --> 0:32:56.280
<v Speaker 9>is growth in neurosymbolic.

0:32:56.320 --> 0:32:58.240
<v Speaker 2>Should we have them back, Lisa? What do you think?

0:32:58.400 --> 0:32:59.560
<v Speaker 6>I mean, my head is blown.

0:32:59.640 --> 0:33:05.360
<v Speaker 2>Yes, a successful visit and you know it would be

0:33:05.480 --> 0:33:09.240
<v Speaker 2>scary Schumacher and Greg doco together. Oh yeah, that would

0:33:09.280 --> 0:33:14.000
<v Speaker 2>be like scary, like the economics tied into the neurosymbolic

0:33:14.160 --> 0:33:18.000
<v Speaker 2>AI the mathematics. Thank this is brilliant, Jeff Schumacher, Thank

0:33:18.000 --> 0:33:22.080
<v Speaker 2>you so much. Outa Mauclair, Wisconsin and with ernstin Young Parthanon.

0:33:22.600 --> 0:33:27.440
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

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<v Speaker 1>and anywhere else you get your podcasts. Listen live each

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