WEBVTT - Second Half Economic Outlook

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<v Speaker 1>Bloomberg Audio Studios Podcasts Radio News This is the Bloomberg

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at 7 a.m. Eastern

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<v Speaker 2>Joining us here in studio right now is a real treat,

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<v Speaker 2>James Eggehoff, Chief U.S.

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<v Speaker 3>Economist, BNP Paribas, the BNP Paribas offices in Paris.

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<v Speaker 2>Awesome.

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<v Speaker 3>Been there many times.

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<v Speaker 2>James, thanks so much for joining us here. Talk to

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<v Speaker 2>us about what you're seeing in this U.S. economy right now.

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<v Speaker 2>Seems pretty darn solid.

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<v Speaker 4>Look, we've been optimistic on the U.S. all year. I

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<v Speaker 4>think the economy is doing really well and it's staged

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<v Speaker 4>to keep doing well. We think it's benefiting from stimulative

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<v Speaker 4>monetary policy, stimulative fiscal policy, stimulative wealth effects from all

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<v Speaker 4>the equity rally. and stimulative effects on investment demand from AI.

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<v Speaker 4>We think that that's poised to continue. We think the

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<v Speaker 4>Fed's rate hike last week was really good news. It

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<v Speaker 4>shows that the Fed is embracing this optimistic narrative. Walsh

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<v Speaker 4>used the word optimism in his press conference. And we're

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<v Speaker 4>seeing that the Fed is prepared, it's willing and able

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<v Speaker 4>to use its tools to keep the expansion.

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<v Speaker 5>Healthy and balanced. And I do get your notes that

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<v Speaker 5>you send out to clients. So I saw last week

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<v Speaker 5>after the Fed's decision that you were sticking with an

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<v Speaker 5>expected another hike in December and January. But this week,

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<v Speaker 5>we get more than a half dozen Fed speakers. We

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<v Speaker 5>did hear from Austin Goolsbee earlier this morning saying the

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<v Speaker 5>road to 2% inflation may not be painless. So you

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<v Speaker 5>were talking about how you might potentially add a hike

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<v Speaker 5>for that October meeting, depending on what you hear throughout

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<v Speaker 5>this week. What did you view with Goolsbee's comments this morning?

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<v Speaker 5>And what else are you watching for from these Fed

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<v Speaker 5>speakers this week?

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<v Speaker 4>Look, we agree that the road might not be painless.

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<v Speaker 4>And we think ultimately the risks to our Fed path,

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<v Speaker 4>we have the pack we just had.

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<v Speaker 5>We have two more.

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<v Speaker 4>We have one in December, one in January. We think

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<v Speaker 4>the risks are to a more concerted, a longer and

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<v Speaker 4>a stronger tightening cycle, just because the growth impulse in

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<v Speaker 4>the economy is so strong, because inflation has gotten a

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<v Speaker 4>little bit sticky, and because it's important to build credibility.

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<v Speaker 4>So we see those features of the economy as meaning

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<v Speaker 4>that it's going to be a bit harder to fight

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<v Speaker 4>inflation than maybe the Fed had thought the past few

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<v Speaker 4>years and that it might think now. So there's the

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<v Speaker 4>risk that they have to do a bit more.

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<v Speaker 2>So on the underlying inflation, I mean, we've got WTI

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<v Speaker 2>crude oil at or near 100 bucks a barrel.

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<v Speaker 3>That's not good for inflation.

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<v Speaker 2>John Tucker's paying 450 a gallon at the Wawa Route

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<v Speaker 2>36 in Jersey. Talks about underlying inflation. What are you

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<v Speaker 2>seeing out there?

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<v Speaker 3>How do you feel about it?

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<v Speaker 4>Look, and it's worse if you're a truck driver. You

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<v Speaker 4>can pay $ 6. 57 for diesel, and we're starting to talk

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<v Speaker 4>about being over $ 200 a gallon. So one of the

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<v Speaker 4>risks to the economy that we see is that we

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<v Speaker 4>can get continued rises in energy prices. Our view has

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<v Speaker 4>been that the economy is going to be resilient to that.

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<v Speaker 4>So long as we don't get back to a price

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<v Speaker 4>in inflation adjusted level like we got in 2008, which

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<v Speaker 4>would be something like well over 200. And look, we

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<v Speaker 4>could get there. If things get worse, we're not there now.

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<v Speaker 4>So we think we're in good shape now. But that's

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<v Speaker 4>a risk to monitor. We think ultimately inflation in the

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<v Speaker 4>US is driven by momentum. And so we've had now

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<v Speaker 4>over five years of high inflation, including the big surge

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<v Speaker 4>in inflation during the pandemic reopening. We think it's just

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<v Speaker 4>accumulated inertia. In order to fight that inertia, the Fed

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<v Speaker 4>might just have to push push harder into it. The

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<v Speaker 4>Fed's been hoping that inflation would just sort of peter

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<v Speaker 4>out by itself without the need for having to push

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<v Speaker 4>back on the labor market. And that might not work.

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<v Speaker 4>The Fed's coming to terms with that.

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<v Speaker 5>What do you think is the biggest risk to your call?

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<v Speaker 4>Look, we think that if you're an economist and you're

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<v Speaker 4>worried about the risk, you're mostly worried about some kind

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<v Speaker 4>of imbalance. And for us, for most of you, the

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<v Speaker 4>risk was that the Fed wouldn't act. And the Fed

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<v Speaker 4>would let the economy overheat. We get the late unemployment

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<v Speaker 4>rate to fall too much. And then the Fed would

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<v Speaker 4>have to sort of like you jump like it had

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<v Speaker 4>been hit by cattle prod and respond excessively. And when

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<v Speaker 4>you start seeing these big amplifying moves, that's when you

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<v Speaker 4>worry about something having a recession. The fact that we're

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<v Speaker 4>seeing the Fed respond more timely now and showing that

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<v Speaker 4>they're on the path to stabilize and the economy reduces

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<v Speaker 4>that risk. We're worried about the war. We also think

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<v Speaker 4>that AI is primarily driven by optimism right now. That's fine.

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<v Speaker 4>That's a normal part of this phase of the technology cycle.

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<v Speaker 4>But if something happens that causes people to somehow lose

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<v Speaker 4>some of that optimism about the commercialization of AI, that

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<v Speaker 4>could be a problem too. But right now, we think

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<v Speaker 4>these risks are manageable.

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<v Speaker 2>And the consumer seems really strong, resilient. How do you

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<v Speaker 2>view the consumer here? We know there's this K-shaped economy,

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<v Speaker 2>but the It just seems like the upper end of

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<v Speaker 2>the K is kind of driving the bus here at

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<v Speaker 2>the moment.

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<v Speaker 4>There's a lot of debate about how K-shaped the economy

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<v Speaker 4>really is or whether it's any more K-shaped than it

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<v Speaker 4>always has been. There is wealth and income inequality in

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<v Speaker 4>this country, but that's not new. We think the wealth

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<v Speaker 4>gains that are coming from the stock market do accrue

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<v Speaker 4>to more affluent people, but that it seems to be

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<v Speaker 4>working through to the rest of the economy. So, so

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<v Speaker 4>long as people have a job, they're comfortable that their

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<v Speaker 4>job's going to be stable and the market remains resilient,

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<v Speaker 4>we think the consumer will remain resilient as well.

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<v Speaker 5>When you're viewing the direction for, especially how much the

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<v Speaker 5>AI prospects are contributing to GDP, if a lot of

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<v Speaker 5>those companies are obviously tapping the debt markets to spend more,

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<v Speaker 5>if they're pulling back on that potentially, depending on where

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<v Speaker 5>the rate cycle is for hiking, how does that then

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<v Speaker 5>potentially slow economic growth?

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<v Speaker 4>So first of all, I talked to quite a few

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<v Speaker 4>clients in the data center and the hyperscaler space, like

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<v Speaker 4>we're a big institution.

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<v Speaker 3>And I'm not hearing that.

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<v Speaker 4>So what I'm hearing is that people are very optimistic

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<v Speaker 4>on the demand for compute, on the commercial demand for

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<v Speaker 4>AI applications. And yes, rates are going up.

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<v Speaker 6>They see that.

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<v Speaker 4>They've been trying to get ahead of that the past

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<v Speaker 4>few months with supply, with issuance. but that that's not

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<v Speaker 4>going to derail their plans. So ultimately, we think that

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<v Speaker 4>the AI cycle is robust to this. That may be

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<v Speaker 4>a reason the Fed has to do more, because if

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<v Speaker 4>the Fed's objective actually is to sort of take a

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<v Speaker 4>little bit of the punch bowl away, sort of the

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<v Speaker 4>old Lou McKesney Martin quote, that they may have to

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<v Speaker 4>take a little bit more of the punch bowl away

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<v Speaker 4>to get people to chill out a little bit. So

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<v Speaker 4>that's more the risk is that there's not enough response

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<v Speaker 4>and the Fed.

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<v Speaker 5>Has to do more.

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<v Speaker 3>The 10-year Treasury yield, 4.95%, 5%. Is that kind of

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<v Speaker 3>the new normal? And is that OK?

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<v Speaker 4>So our view for a while has been that we

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<v Speaker 4>are going into a period of prolonged high growth. And

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<v Speaker 4>that means that the neutral rate, the rate that the

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<v Speaker 4>Fed has to maintain on average over time, is going

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<v Speaker 4>to be higher. And that means that we're going to

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<v Speaker 4>be in a higher rate environment.

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<v Speaker 3>Another way of putting it is.

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<v Speaker 4>If you want 90s type growth, you might have to

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<v Speaker 4>have 90s type rates. And some of that is getting

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<v Speaker 4>priced in. I think some of my buy-side clients are

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<v Speaker 4>starting to think about where should the 10-year, where should

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<v Speaker 4>the 30-year be in a world where productivity growth is

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<v Speaker 4>going to be really high. So look, there's some room

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<v Speaker 4>for a rally here, here and there. We think the

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<v Speaker 4>Fed is showing some credibility. We might have some stabilization

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<v Speaker 4>in the war at some point, hopefully. Those things would

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<v Speaker 4>be good for the 10-year. But ultimately, we don't think

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<v Speaker 4>going back to a much lower level of rates. We

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<v Speaker 4>think we're in a high-growth environment.

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<v Speaker 3>James, undergraduate degree, Cornell, computer science. Then you go get

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<v Speaker 3>the NBA Chicago.

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<v Speaker 2>Dude, that is a lot of math over that period

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<v Speaker 2>of time.

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<v Speaker 3>I mean, you like math, I guess.

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<v Speaker 4>I do like math, but I find in this job

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<v Speaker 4>I'm mostly reading Truth Social at times. It isn't always helpful,

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<v Speaker 4>but I do aspire to it being useful.

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<v Speaker 2>Stay with us.

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<v Speaker 3>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 1>weekday afternoons from 7 to 10 a.m. Eastern. Listen on

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<v Speaker 3>Let's talk the bond market. Let's talk credit.

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<v Speaker 2>And, you know, the story of 2026, one of the

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<v Speaker 2>main themes has been all the new issuance from the

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<v Speaker 2>AI players. A lot of tech companies who you don't

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<v Speaker 2>normally see in the bond market because you have such

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<v Speaker 2>tons of cash on their balance sheet, lots of free

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<v Speaker 2>cash flow. They didn't need the bond market. Now they

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<v Speaker 2>do for all this AI capex. What's it mean for

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<v Speaker 2>the investment grade bond market for that return to Amanda Linem?

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<v Speaker 2>She's a chief credit strategist at a little shop called

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<v Speaker 2>Goldman Sachs. Amanda, how do you guys think about all

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<v Speaker 2>the AI issuance that has come into the market and

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<v Speaker 2>that is expected to come into the market over the next,

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<v Speaker 2>I don't know, 18 months or so?

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<v Speaker 7>Good morning.

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<v Speaker 8>Thank you for having me. So I think there are

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<v Speaker 8>a couple of ways to think about this, Paul. One

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<v Speaker 8>is to just frame the scale and scope. And you

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<v Speaker 8>rightly point to the group of hyperscalers that have been

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<v Speaker 8>in focus for the markets. But actually, our work suggests

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<v Speaker 8>that as sizable as those CapEx needs are from the hyperscalers,

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<v Speaker 8>they represent just 40 percent of the AI related issuance

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<v Speaker 8>that's coming through the global corporate credit markets. So given

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<v Speaker 8>that swift acceleration, which actually started in 2025, it's intensified

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<v Speaker 8>through 2026. We've counted nearly 600 billion of global AI-related

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<v Speaker 8>debt issuance so far this year, and we think it's

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<v Speaker 8>poised to accelerate even further in 2027. What that means

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<v Speaker 8>is that the diversification value of sectors outside of that theme,

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<v Speaker 8>so banks, healthcare, energy, food and beverage, it's all the

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<v Speaker 8>more important for investors. And so that's really, I think,

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<v Speaker 8>a key driver of the increased focus on sector diversification

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<v Speaker 8>from here.

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<v Speaker 6>Talk to us more about.

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<v Speaker 5>The bifurcation between AI-related spreads and the rest of the

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<v Speaker 5>market and how you view kind of the trajectory of

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<v Speaker 5>this in the midst of the Fed beginning to hike

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<v Speaker 5>rates again.

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<v Speaker 7>Sure. Thank you, Jess.

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<v Speaker 8>It's a great question. I think the bifurcation has persisted.

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<v Speaker 8>And as you noted, it's really between AI and the

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<v Speaker 8>broader rest of the market.

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<v Speaker 7>I think what it has driven.

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<v Speaker 8>In our view is almost a shift in the way

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<v Speaker 8>that we think investors should think about quality and being

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<v Speaker 8>defensive in the credit market. And that's true in both

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<v Speaker 8>IG and high yield. And so one of the views

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<v Speaker 8>that we have is to selectively move down in credit

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<v Speaker 8>quality from in IG were overweight BBBs against the higher

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<v Speaker 8>rated cohorts of the market. And in high yield, for example,

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<v Speaker 8>in the US, were overweight single Bs versus double Bs.

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<v Speaker 8>it's really driven by two factors and it speaks to

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<v Speaker 8>this bifurcation. While the reflex historically to be more defensive

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<v Speaker 8>or move up in quality was to move up in ratings,

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<v Speaker 8>if you do that in this environment, what you do

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<v Speaker 8>is you subject yourself to two more pronounced headwinds. The

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<v Speaker 8>first is the supply angle that we mentioned and the

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<v Speaker 8>second is a duration headwind.

0:10:23.400 --> 0:10:25.819
<v Speaker 7>On the supply angle, the higher end of the.

0:10:25.920 --> 0:10:30.199
<v Speaker 8>IG and high yield rating cohorts have generated a disproportionately

0:10:30.260 --> 0:10:33.610
<v Speaker 8>large share of supply relative to prior years. And again,

0:10:33.630 --> 0:10:36.809
<v Speaker 8>that's driven largely by the AI theme, even in high yield.

0:10:37.250 --> 0:10:39.990
<v Speaker 8>And then two, by moving up in ratings and moving

0:10:40.030 --> 0:10:42.929
<v Speaker 8>into tighter spread bonds, what you do is... you lose

0:10:42.970 --> 0:10:46.179
<v Speaker 8>that spread cushion to buffer total returns from higher rates.

0:10:46.580 --> 0:10:49.920
<v Speaker 8>And so for that reason, we actually like being selectively

0:10:49.960 --> 0:10:53.160
<v Speaker 8>down in credit quality, of course, very mindful of kind

0:10:53.200 --> 0:10:56.120
<v Speaker 8>of that left tail of the credit market that seems

0:10:56.160 --> 0:10:59.370
<v Speaker 8>to persistently lag. But growth is good enough in our view.

0:10:59.640 --> 0:11:02.410
<v Speaker 8>Credit fundamentals are solid. And really, it just fits with

0:11:02.450 --> 0:11:04.390
<v Speaker 8>our view that if you're allocating to credit, you should

0:11:04.410 --> 0:11:07.010
<v Speaker 8>be doing that for yield and income, not for a

0:11:07.110 --> 0:11:10.069
<v Speaker 8>potential total return boost from tighter spreads or lower rates.

0:11:10.630 --> 0:11:13.819
<v Speaker 2>Amanda, you have some of the best tech research analysts

0:11:14.160 --> 0:11:15.960
<v Speaker 2>on Global Wall Street there at Goldman Sachs. What are

0:11:15.980 --> 0:11:20.120
<v Speaker 2>they telling you about, I guess, the need for more CapEx?

0:11:20.160 --> 0:11:22.370
<v Speaker 2>How long does this cycle last? How long is your

0:11:22.410 --> 0:11:24.690
<v Speaker 2>investment grade mark? You're going to be asked to kind

0:11:24.730 --> 0:11:25.949
<v Speaker 2>of fund a lot of this stuff.

0:11:26.720 --> 0:11:28.979
<v Speaker 8>We sure do have the best equity research tech analysts.

0:11:29.540 --> 0:11:33.400
<v Speaker 8>So our debt issuance forecast for 2027 and even through

0:11:33.420 --> 0:11:36.710
<v Speaker 8>the outer years, they're directly informed in large part by

0:11:36.780 --> 0:11:39.630
<v Speaker 8>the CapEx estimates of our equity team. And then we

0:11:39.690 --> 0:11:42.330
<v Speaker 8>assume a share of that CapEx spend that will be

0:11:42.370 --> 0:11:45.470
<v Speaker 8>debt financed. As you know, Paul, this is a multi-year trend.

0:11:46.050 --> 0:11:48.329
<v Speaker 8>This is something that it's not going to be kind

0:11:48.350 --> 0:11:49.390
<v Speaker 8>of a one and done.

0:11:49.230 --> 0:11:50.010
<v Speaker 7>Wave of issuance.

0:11:50.190 --> 0:11:53.020
<v Speaker 8>We expect this to be a present theme in the

0:11:53.059 --> 0:11:56.880
<v Speaker 8>corporate credit markets through 2030, even 2031.

0:11:56.880 --> 0:11:59.000
<v Speaker 7>Based on the CapEx trajectory that we see.

0:11:59.020 --> 0:12:03.050
<v Speaker 8>I think the key angle, though, is that over time,

0:12:03.290 --> 0:12:07.610
<v Speaker 8>as that market issuance pattern extends further, We think that

0:12:07.770 --> 0:12:11.050
<v Speaker 8>other markets, in particular other financing channels, will need to

0:12:11.110 --> 0:12:13.829
<v Speaker 8>play a larger role in financing some of this need,

0:12:14.270 --> 0:12:18.480
<v Speaker 8>specifically the private credit markets, private infrastructure, private real estate,

0:12:18.750 --> 0:12:22.459
<v Speaker 8>where there's a collective $ 4. 5 trillion of dry powder across

0:12:22.600 --> 0:12:26.460
<v Speaker 8>all private market strategies, even including private equity. We see

0:12:26.500 --> 0:12:29.040
<v Speaker 8>a greater role for those markets to step in. That's

0:12:29.059 --> 0:12:32.000
<v Speaker 8>not to say that there's not additional runway in the

0:12:32.080 --> 0:12:34.200
<v Speaker 8>traditional financing corporate bond markets.

0:12:34.240 --> 0:12:34.920
<v Speaker 7>There for sure is.

0:12:35.720 --> 0:12:39.280
<v Speaker 8>At least $ 500 billion by our estimates in US IG alone.

0:12:39.750 --> 0:12:41.709
<v Speaker 8>But just given the scale and scope of this need,

0:12:41.730 --> 0:12:44.270
<v Speaker 8>we believe a wide range of financing channels will need

0:12:44.290 --> 0:12:48.309
<v Speaker 8>to participate across structures, markets, and even currencies.

0:12:48.750 --> 0:12:51.650
<v Speaker 5>Amanda, any particular red flags you're beginning to see within

0:12:51.970 --> 0:12:53.490
<v Speaker 5>the AI-related debt issuance?

0:12:54.630 --> 0:12:57.590
<v Speaker 8>Well, I just think it's not necessarily a red flag,

0:12:57.650 --> 0:13:00.860
<v Speaker 8>but it's a recognition of what is different this time

0:13:00.980 --> 0:13:04.060
<v Speaker 8>versus prior periods of active re-leveraging. And if I had

0:13:04.100 --> 0:13:07.320
<v Speaker 8>to put it very simply, the credit market works best

0:13:07.440 --> 0:13:11.500
<v Speaker 8>in funding periods of active re-leveraging when the need is quantifiable,

0:13:11.900 --> 0:13:14.520
<v Speaker 8>when there's an end in sight, And ideally, when there's

0:13:14.559 --> 0:13:17.100
<v Speaker 8>a period of debt reduction on the back of any

0:13:17.160 --> 0:13:21.660
<v Speaker 8>debt issuance, for a variety of reasons, this multi-year period

0:13:21.860 --> 0:13:26.000
<v Speaker 8>of AI-related debt issuance, where CapEx estimates have been moving higher,

0:13:26.040 --> 0:13:28.670
<v Speaker 8>by the way, it's just a different phenomenon than what

0:13:28.710 --> 0:13:30.329
<v Speaker 8>the corporate credit market is used to.

0:13:30.730 --> 0:13:32.290
<v Speaker 7>That's why you see in some.

0:13:32.150 --> 0:13:37.630
<v Speaker 8>Cases that we expect larger markets in the private financing channels,

0:13:37.670 --> 0:13:41.490
<v Speaker 8>for example, to play a more meaningful role as it extends. So,

0:13:41.890 --> 0:13:44.930
<v Speaker 8>I think it's important to realize that typically when the

0:13:44.980 --> 0:13:49.160
<v Speaker 8>corporate credit market sees these large jumbo debt deals, it's for,

0:13:49.200 --> 0:13:51.699
<v Speaker 8>for example, a debt-funded M &amp; A transaction.

0:13:52.000 --> 0:13:53.560
<v Speaker 7>That's kind of the end of the issuance.

0:13:53.780 --> 0:13:56.970
<v Speaker 8>And then the corporate borrower is focused on debt reduction

0:13:57.070 --> 0:13:59.829
<v Speaker 8>following that. This is just a very different backdrop.

0:13:59.850 --> 0:14:01.530
<v Speaker 7>And so I think it's important to acknowledge that.

0:14:02.070 --> 0:14:06.709
<v Speaker 2>Amanda, one of the questions I have is, it feels

0:14:06.730 --> 0:14:10.080
<v Speaker 2>like maybe this AI spending level This is the new normal.

0:14:10.480 --> 0:14:13.590
<v Speaker 2>I'm not sure once you build whatever you need to build,

0:14:13.790 --> 0:14:16.490
<v Speaker 2>whether it's a data center or whatever, does it go

0:14:16.530 --> 0:14:19.220
<v Speaker 2>back to pre-AI CapEx levels?

0:14:19.440 --> 0:14:20.160
<v Speaker 3>I'm not so sure.

0:14:21.490 --> 0:14:23.530
<v Speaker 8>I think it's hard to know, and it's probably out

0:14:23.570 --> 0:14:25.729
<v Speaker 8>of my wheelhouse. I'll defer to the tech experts on

0:14:25.790 --> 0:14:27.890
<v Speaker 8>that one. But I think the key question for corporate

0:14:27.910 --> 0:14:32.330
<v Speaker 8>credit investors is, is there a financing runway to accommodate

0:14:32.390 --> 0:14:35.530
<v Speaker 8>this spend? And I certainly think that from the corporate

0:14:35.550 --> 0:14:38.200
<v Speaker 8>credit investor side, there's a lot of demand for this paper.

0:14:38.340 --> 0:14:40.740
<v Speaker 8>Tech is actually still a pretty small share of the

0:14:40.820 --> 0:14:44.060
<v Speaker 8>overall corporate credit market, despite the issuance numbers that I

0:14:44.100 --> 0:14:46.720
<v Speaker 8>mentioned at the start, which is pretty astounding. And as

0:14:46.740 --> 0:14:50.380
<v Speaker 8>we move forward, I think investors will pick their spots

0:14:50.420 --> 0:14:52.960
<v Speaker 8>in terms of where they might want to participate more fully.

0:14:53.020 --> 0:14:55.000
<v Speaker 8>But in general, the message from our side is that

0:14:55.260 --> 0:14:58.440
<v Speaker 8>we are not concerned about access to capital for the

0:14:58.540 --> 0:15:01.180
<v Speaker 8>AI theme from a corporate credit side. We just expect

0:15:01.240 --> 0:15:04.540
<v Speaker 8>more nuanced conversations about where exactly to take this risk

0:15:04.680 --> 0:15:08.250
<v Speaker 8>and at what price as the multi-year issuance cycle moves

0:15:08.370 --> 0:15:09.670
<v Speaker 8>on from the investor perspective.

0:15:10.530 --> 0:15:13.110
<v Speaker 3>Amanda, thank you so much. Appreciate it. As always, Amanda Lanham,

0:15:13.150 --> 0:15:14.830
<v Speaker 3>Chief Credit Strategist at Goldman Sachs.

0:15:19.090 --> 0:15:22.670
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:15:22.750 --> 0:15:25.940
<v Speaker 1>weekday afternoons from 7 to 10 a.m. Eastern. Listen on

0:15:26.040 --> 0:15:29.300
<v Speaker 1>Apple CarPlay and Android Auto with the Bloomberg Business app

0:15:29.520 --> 0:15:31.220
<v Speaker 1>or watch us live on YouTube.

0:15:31.240 --> 0:15:33.840
<v Speaker 2>Let's check in with our next guest, Nancy Lazar, chief

0:15:34.000 --> 0:15:37.540
<v Speaker 2>global economist at Piper Sandler. Nancy, thanks so much for

0:15:37.600 --> 0:15:39.920
<v Speaker 2>joining us here. I love and I think our listeners

0:15:39.940 --> 0:15:41.570
<v Speaker 2>would love to get your thoughts on what we heard.

0:15:42.260 --> 0:15:46.230
<v Speaker 2>From the Federal Reserve last week, the hike started, came in.

0:15:46.270 --> 0:15:48.750
<v Speaker 2>We had a 25 basis point hike as the market

0:15:48.770 --> 0:15:51.050
<v Speaker 2>was anticipating. What else did you take away from the

0:15:51.090 --> 0:15:51.550
<v Speaker 2>Fed meeting?

0:15:52.790 --> 0:15:55.810
<v Speaker 9>Well, it's to listen seriously to what Chair Warsh says.

0:15:56.190 --> 0:15:58.790
<v Speaker 10>He said one of the key indicators, economic indicators he's

0:15:58.850 --> 0:16:04.010
<v Speaker 10>watching are weekly unemployment claims. It's a hard statistic, great

0:16:04.050 --> 0:16:08.010
<v Speaker 10>historical relationship with the labor market. And claims are down 10%

0:16:08.010 --> 0:16:12.660
<v Speaker 10>on a year-over-year basis, which means the labor market is

0:16:12.760 --> 0:16:16.600
<v Speaker 10>healing really quickly. Layoffs are down. And that also implies

0:16:16.800 --> 0:16:19.620
<v Speaker 10>employment is indeed going up. So listen to what he

0:16:19.680 --> 0:16:22.970
<v Speaker 10>says and watch what he's watching, which is the labor

0:16:22.990 --> 0:16:26.930
<v Speaker 10>market along with inflation. And there's maybe more truth than

0:16:26.990 --> 0:16:30.510
<v Speaker 10>fiction to the relatively strong payroll employment report we had

0:16:30.590 --> 0:16:34.380
<v Speaker 10>for the month of August. So claims, I think, were

0:16:34.480 --> 0:16:36.790
<v Speaker 10>a mirror into what he was thinking, which is the

0:16:36.850 --> 0:16:39.890
<v Speaker 10>economy's on solid footing, labor market is healing.

0:16:40.370 --> 0:16:43.820
<v Speaker 9>And inflation is sticky. He has a diffusion index. We

0:16:43.860 --> 0:16:45.920
<v Speaker 9>have our inflation diffusion index.

0:16:46.260 --> 0:16:50.040
<v Speaker 10>It tells you there's too many prices that are increasing 0.3%

0:16:50.040 --> 0:16:52.840
<v Speaker 10>or more. And that just highlights that we are now

0:16:52.900 --> 0:16:56.310
<v Speaker 10>seeing sticky inflation. And then third, and then I'll stop,

0:16:56.730 --> 0:16:59.030
<v Speaker 10>is that does this strength in the labor market then

0:16:59.070 --> 0:17:02.630
<v Speaker 10>imply that, say, in 2027, we could actually see even

0:17:02.670 --> 0:17:07.230
<v Speaker 10>a further broadening out of inflation into wage inflation. And

0:17:07.270 --> 0:17:09.770
<v Speaker 10>we think that's going to become more of a story

0:17:09.869 --> 0:17:13.280
<v Speaker 10>indeed as we see this stronger labor market then leading

0:17:13.300 --> 0:17:15.100
<v Speaker 10>to stronger wage inflation in 2027.

0:17:15.100 --> 0:17:18.300
<v Speaker 5>Hey, Nancy, we didn't hear too much from Kevin Warsh

0:17:18.460 --> 0:17:21.000
<v Speaker 5>about the Fed's balance sheet. What are you watching there?

0:17:22.420 --> 0:17:25.340
<v Speaker 10>Well, we watch the balance sheet closely. It's still very,

0:17:25.380 --> 0:17:29.070
<v Speaker 10>very elevated. We also watch money supply. He is a monetarist.

0:17:29.090 --> 0:17:31.350
<v Speaker 10>He made that clear in the monetary policy report.

0:17:31.369 --> 0:17:32.030
<v Speaker 9>He made that.

0:17:31.930 --> 0:17:36.210
<v Speaker 10>Clear at Jackson Hole. And we watch the banking system.

0:17:36.260 --> 0:17:38.800
<v Speaker 10>We watch bank lending. Bottom line is there's a lot

0:17:38.840 --> 0:17:42.010
<v Speaker 10>of liquidity in the economy. And that helps explain, one,

0:17:42.109 --> 0:17:45.889
<v Speaker 10>why economic activity is solid and getting stronger, and two,

0:17:46.630 --> 0:17:50.670
<v Speaker 10>why inflation is indeed sticky. So the balance sheet, although

0:17:50.710 --> 0:17:53.450
<v Speaker 10>it's off its peak, is still very elevated. It provides

0:17:53.490 --> 0:17:55.980
<v Speaker 10>a lot of liquidity to Wall Street. Therefore, it provides

0:17:56.020 --> 0:17:58.440
<v Speaker 10>a lot of liquidity for financial markets and is a

0:17:58.480 --> 0:18:01.500
<v Speaker 10>contributor to the strength in the economy. More simply, though,

0:18:01.960 --> 0:18:06.660
<v Speaker 10>watching money supply M2 growth, which is what classically monetarists

0:18:07.200 --> 0:18:08.919
<v Speaker 10>me included, have watched.

0:18:08.960 --> 0:18:10.740
<v Speaker 9>It's growing 7% right now.

0:18:11.260 --> 0:18:15.640
<v Speaker 10>And 7% money supply growth, 7% bank loan growth, very

0:18:15.700 --> 0:18:19.050
<v Speaker 10>strong government spending right now led by defense. That all

0:18:19.090 --> 0:18:22.250
<v Speaker 10>suggests nominal activity is going to stay strong, which is very,

0:18:22.270 --> 0:18:26.770
<v Speaker 10>very supportive of corporate revenue, corporate revenue growth. So balance sheet, money,

0:18:26.869 --> 0:18:30.070
<v Speaker 10>bank loans, government spending all point to a lot of

0:18:30.090 --> 0:18:33.450
<v Speaker 10>liquidity helping to support the economy and cushion it, quite frankly,

0:18:33.869 --> 0:18:37.620
<v Speaker 10>from this backup in interest rates For now.

0:18:38.100 --> 0:18:40.320
<v Speaker 2>Hey, Nancy, I guess I should not be, but I

0:18:40.359 --> 0:18:43.830
<v Speaker 2>continue to be, I guess, pleasantly surprised by the resilience

0:18:44.460 --> 0:18:45.310
<v Speaker 2>of the U.S.

0:18:45.430 --> 0:18:47.450
<v Speaker 3>Consumer here. How do you view the U.S.

0:18:47.490 --> 0:18:52.570
<v Speaker 2>Consumer who is facing inflation.

0:18:50.630 --> 0:18:53.050
<v Speaker 3>Issues, particularly at the gas pump and some other places?

0:18:53.130 --> 0:18:56.190
<v Speaker 3>But boy, the U.S. consumers more than hanging in there.

0:18:57.430 --> 0:18:59.510
<v Speaker 9>Well, well said. Totally, totally agree.

0:18:59.830 --> 0:19:04.040
<v Speaker 10>Nominal consumer spending, which is what drives revenue for all

0:19:04.060 --> 0:19:06.240
<v Speaker 10>these big retailers, are growing.

0:19:05.940 --> 0:19:07.780
<v Speaker 9>Right now 6%.

0:19:07.780 --> 0:19:11.040
<v Speaker 10>That's echoed, say, by an American Express, whose revenues are

0:19:11.080 --> 0:19:14.650
<v Speaker 10>actually up 8%, and Visa, whose revenues are up 12%.

0:19:14.650 --> 0:19:17.230
<v Speaker 10>So my point is I love to look at multiple

0:19:17.369 --> 0:19:20.210
<v Speaker 10>different indicators to gauge what's going on in the economy,

0:19:20.530 --> 0:19:24.580
<v Speaker 10>in this case looking at consumer-oriented companies. Second, it's really

0:19:24.619 --> 0:19:28.060
<v Speaker 10>the high to middle income consumers that's driving consumer spending.

0:19:28.460 --> 0:19:32.160
<v Speaker 9>Consumer confidence is kind of stuck. Don't use U of Mish.

0:19:32.200 --> 0:19:34.119
<v Speaker 10>If you use Conference Board or our own daily survey,

0:19:34.359 --> 0:19:36.180
<v Speaker 10>consumer confidence is kind of sluggish.

0:19:36.240 --> 0:19:38.020
<v Speaker 9>It's not collapsing, but it is sluggish.

0:19:38.380 --> 0:19:41.870
<v Speaker 10>Whereas what you just suggested is indicated, and I agree with,

0:19:41.930 --> 0:19:42.610
<v Speaker 10>is that the U.S.

0:19:42.650 --> 0:19:43.609
<v Speaker 9>Consumer has been resilient.

0:19:43.850 --> 0:19:46.330
<v Speaker 10>What's the disconnect between spending and confidence?

0:19:46.710 --> 0:19:51.160
<v Speaker 9>Well, everybody's treated equal, high, middle, low-income consumers are treated

0:19:51.320 --> 0:19:53.140
<v Speaker 9>equal in the consumer confidence numbers.

0:19:53.220 --> 0:19:56.879
<v Speaker 10>It's a measure of people, whereas nominal consumer spending is

0:19:56.920 --> 0:20:00.060
<v Speaker 10>a dollar metric, right? And so the high, middle-income consumers

0:20:00.160 --> 0:20:03.960
<v Speaker 10>drive that particular indicator. I think that's what's surprising people.

0:20:04.280 --> 0:20:06.500
<v Speaker 10>And we saw that certainly also in the August retail

0:20:06.540 --> 0:20:13.010
<v Speaker 10>sales data. And the middle income consumer is getting stronger here.

0:20:13.700 --> 0:20:17.969
<v Speaker 10>Goods producing jobs, manufacturing jobs, construction jobs are high paying

0:20:18.010 --> 0:20:21.370
<v Speaker 10>jobs and wages in that sector are growing 4 percent.

0:20:21.690 --> 0:20:24.530
<v Speaker 10>And income in that space for those consumers is also

0:20:24.590 --> 0:20:28.560
<v Speaker 10>now hitting all time highs, even adjusted for inflation. So

0:20:28.900 --> 0:20:31.720
<v Speaker 10>consumer spending is resilient, one, because the high-end consumer has

0:20:31.740 --> 0:20:33.780
<v Speaker 10>been driven by, supported by the stock market, which is

0:20:33.840 --> 0:20:36.680
<v Speaker 10>supported by all this liquidity in the economy. And two,

0:20:36.820 --> 0:20:41.640
<v Speaker 10>now the middle-income consumer is doing better because of the

0:20:41.760 --> 0:20:45.590
<v Speaker 10>strength we're getting in these construction jobs, manufacturing jobs.

0:20:45.869 --> 0:20:46.790
<v Speaker 9>And that was just echoed.

0:20:47.109 --> 0:20:50.889
<v Speaker 10>Manufacturing is very strong. Breadth in manufacturing is broadening out.

0:20:51.270 --> 0:20:56.050
<v Speaker 10>Jobs in manufacturing are picking up, now joining construction jobs,

0:20:56.109 --> 0:20:58.050
<v Speaker 10>supporting that middle-income consumer.

0:20:58.350 --> 0:21:00.090
<v Speaker 9>The low end consumer gets a lot of the press

0:21:00.230 --> 0:21:00.990
<v Speaker 9>and my heart bleeds.

0:21:01.109 --> 0:21:03.990
<v Speaker 10>I mean, they're in a terrible situation given gasoline prices

0:21:04.170 --> 0:21:06.280
<v Speaker 10>and they are in a lot of these lower paying jobs.

0:21:07.040 --> 0:21:07.460
<v Speaker 9>Gotcha.

0:21:07.859 --> 0:21:11.899
<v Speaker 10>That needs to change because in politics, everyone's counted the

0:21:11.940 --> 0:21:14.659
<v Speaker 10>same at the voting booth. But but at the end

0:21:14.700 --> 0:21:17.340
<v Speaker 10>of the day, consumer spending solid because of that middle

0:21:17.820 --> 0:21:20.159
<v Speaker 10>income consumer now joining the high income consumer.

0:21:22.540 --> 0:21:23.159
<v Speaker 2>Stay with us.

0:21:23.460 --> 0:21:26.680
<v Speaker 7>More from Bloomberg Surveillance coming up after this.

0:21:33.950 --> 0:21:37.550
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:21:37.630 --> 0:21:39.710
<v Speaker 1>weekday afternoons from 7 to 10 a.m.

0:21:39.760 --> 0:21:40.150
<v Speaker 3>Eastern.

0:21:40.260 --> 0:21:43.560
<v Speaker 1>Listen on Apple CarPlay and Android Auto with the Bloomberg

0:21:43.580 --> 0:21:44.820
<v Speaker 1>Business app or.

0:21:44.680 --> 0:21:47.960
<v Speaker 3>Watch us live on YouTube. Stephanie Gilda joins us here.

0:21:48.000 --> 0:21:51.700
<v Speaker 3>She's the CIO of Robinhood. Stephanie, what are the folks

0:21:51.820 --> 0:21:54.410
<v Speaker 3>on your platform, what are they buying and selling these days?

0:21:55.430 --> 0:21:58.390
<v Speaker 11>So they, you know, in July, we saw them sort

0:21:58.410 --> 0:22:01.149
<v Speaker 11>of net buying cool off. But since that kind of

0:22:01.170 --> 0:22:04.530
<v Speaker 11>pullback in the markets, they've been back at it much

0:22:04.570 --> 0:22:06.490
<v Speaker 11>more in the single stock base, for example, than the

0:22:06.550 --> 0:22:10.949
<v Speaker 11>ETF space. And what we have also been noticing, and

0:22:10.970 --> 0:22:13.090
<v Speaker 11>I think, you know, our stock price often can be

0:22:13.210 --> 0:22:17.860
<v Speaker 11>correlated with Bitcoin. crypto and Bitcoin. But that's not our

0:22:17.880 --> 0:22:20.280
<v Speaker 11>full business at all. We have a pretty diversified business.

0:22:20.859 --> 0:22:23.700
<v Speaker 11>But what we've been seeing customers do is definitely more

0:22:23.880 --> 0:22:27.200
<v Speaker 11>back in the AI trade, just trading the differences between

0:22:27.700 --> 0:22:31.080
<v Speaker 11>hyperscalers and picks and shovel stocks, which you're starting to

0:22:31.119 --> 0:22:33.320
<v Speaker 11>see change a lot in the last week or so.

0:22:33.340 --> 0:22:36.020
<v Speaker 11>And the other thing I noticed, too, is that I

0:22:36.040 --> 0:22:41.600
<v Speaker 11>think for a crypto was not doing as well for

0:22:41.619 --> 0:22:44.000
<v Speaker 11>a lot of the year, they were using prediction markets

0:22:44.080 --> 0:22:47.369
<v Speaker 11>to trade the small changes in prices. So kind of

0:22:47.410 --> 0:22:49.310
<v Speaker 11>saying like, where will the price be or will it

0:22:49.350 --> 0:22:50.010
<v Speaker 11>be above.

0:22:49.770 --> 0:22:50.410
<v Speaker 6>A certain amount?

0:22:51.270 --> 0:22:54.129
<v Speaker 11>And I think that's probably going to start changing now

0:22:54.150 --> 0:22:57.409
<v Speaker 11>that you've seen a pop in crypto and perhaps breaking

0:22:57.510 --> 0:22:57.810
<v Speaker 11>out a little.

0:22:57.890 --> 0:23:00.129
<v Speaker 5>I'm curious with your clients, are they willing to let

0:23:00.170 --> 0:23:02.300
<v Speaker 5>go of some of their AI high flyers? Do they

0:23:02.340 --> 0:23:04.060
<v Speaker 5>want to take profits in those and go elsewhere? Or

0:23:04.080 --> 0:23:05.500
<v Speaker 5>do they want to continue to hang on to that

0:23:05.540 --> 0:23:06.600
<v Speaker 5>and add to that positioning?

0:23:07.460 --> 0:23:11.800
<v Speaker 11>Um, I like generally speaking, behaviorally, our customers don't have

0:23:11.840 --> 0:23:15.010
<v Speaker 11>a problem taking profits. Um, and I think you, you know,

0:23:15.200 --> 0:23:17.510
<v Speaker 11>you see it, whether they're hanging on to a piece

0:23:17.550 --> 0:23:19.630
<v Speaker 11>and kind of trading around it, but you definitely see

0:23:19.670 --> 0:23:21.310
<v Speaker 11>like meta is one of the things that, you know,

0:23:21.330 --> 0:23:23.310
<v Speaker 11>they've sold recently. Cause that's actually had a pretty good

0:23:23.369 --> 0:23:27.280
<v Speaker 11>run going back into something like an Oracle. Um, and so,

0:23:27.650 --> 0:23:30.280
<v Speaker 11>you know, I, I don't, we look across platform rather

0:23:30.320 --> 0:23:33.640
<v Speaker 11>than individual positions, but they definitely are happy to take

0:23:33.680 --> 0:23:36.530
<v Speaker 11>a profit and move on to something that's maybe looking cheaper.

0:23:36.730 --> 0:23:43.109
<v Speaker 6>What are the most active stocks? Right now, it's Micron, Sandus.

0:23:43.390 --> 0:23:45.169
<v Speaker 5>So the two best performers in the first half of

0:23:45.190 --> 0:23:45.900
<v Speaker 5>the year for the S &amp; P.

0:23:46.020 --> 0:23:48.120
<v Speaker 6>Yeah, I mean, it's certainly.

0:23:48.140 --> 0:23:50.440
<v Speaker 5>But they've also come back down since the stocks peaked

0:23:50.500 --> 0:23:52.360
<v Speaker 5>in June. So they're a lot cheaper, even though they're

0:23:52.400 --> 0:23:55.290
<v Speaker 5>still obviously doing very well this year. I guess when

0:23:55.330 --> 0:23:57.650
<v Speaker 5>those PE drops slightly, they're going back in and they're buying.

0:23:57.690 --> 0:23:57.850
<v Speaker 2>Yeah.

0:23:57.890 --> 0:24:01.670
<v Speaker 11>And I wouldn't equate buying with activity. Like I think,

0:24:01.710 --> 0:24:03.330
<v Speaker 11>you know, it could be that they were, you know,

0:24:03.350 --> 0:24:05.129
<v Speaker 11>kind of deciding to trim it. Like those are the

0:24:05.170 --> 0:24:07.710
<v Speaker 11>most actively, but the most, you know, the most bought,

0:24:07.750 --> 0:24:11.480
<v Speaker 11>for example, has been more Nvidia and Oracle.

0:24:12.200 --> 0:24:16.700
<v Speaker 5>And Nvidia has underperformed those peers tremendously this year compared

0:24:16.720 --> 0:24:18.800
<v Speaker 5>to how it performed in recent years. So that's interesting

0:24:18.820 --> 0:24:20.140
<v Speaker 5>that they're going back and buying Nvidia.

0:24:20.900 --> 0:24:23.680
<v Speaker 3>You mentioned Bitcoin, but I, again, kind of didn't pay

0:24:23.720 --> 0:24:25.520
<v Speaker 3>attention until this morning. We're at 85,000 on Bitcoin. It's

0:24:27.890 --> 0:24:30.020
<v Speaker 3>Do the Robinhood folks, do they buy the momentum?

0:24:31.160 --> 0:24:34.540
<v Speaker 11>I think you do start seeing, like, you know, crypto

0:24:34.580 --> 0:24:37.000
<v Speaker 11>in general goes through these, like, seasonal things. And I

0:24:37.040 --> 0:24:40.230
<v Speaker 11>think after you had that big pop, what was it,

0:24:40.240 --> 0:24:42.800
<v Speaker 11>a couple weeks ago, you are starting to see people

0:24:42.859 --> 0:24:45.310
<v Speaker 11>pay attention. I personally have been watching it saying, you know,

0:24:45.350 --> 0:24:47.430
<v Speaker 11>I want to see if it can actually break out

0:24:47.470 --> 0:24:48.969
<v Speaker 11>of the kind of range that it's been in.

0:24:49.030 --> 0:24:50.150
<v Speaker 6>And I think it did that.

0:24:50.270 --> 0:24:51.790
<v Speaker 3>Yeah, it kind of feels like it. You know, like.

0:24:51.690 --> 0:24:55.709
<v Speaker 11>Friday and this weekend. So, yes, people certainly pay attention

0:24:55.730 --> 0:24:56.010
<v Speaker 11>to that.

0:24:56.230 --> 0:24:56.750
<v Speaker 1>Steph, you've got.

0:24:57.170 --> 0:25:00.600
<v Speaker 3>Robin Hood Strategies, your digital advisors. Talk to us about that.

0:25:00.660 --> 0:25:02.060
<v Speaker 3>What is that?

0:25:02.260 --> 0:25:04.340
<v Speaker 6>It's definitely a different part of the platform.

0:25:05.100 --> 0:25:07.460
<v Speaker 11>We kind of have a focus at the company on

0:25:07.680 --> 0:25:10.399
<v Speaker 11>making sure we take care of our active traders, but

0:25:10.420 --> 0:25:13.859
<v Speaker 11>then also understand that not as people kind of change

0:25:13.900 --> 0:25:16.080
<v Speaker 11>in their lives and their careers, they need to get

0:25:16.180 --> 0:25:19.760
<v Speaker 11>more time. And so we've created a set of portfolios

0:25:19.780 --> 0:25:22.070
<v Speaker 11>that you can invest in that will do the investing

0:25:22.109 --> 0:25:22.440
<v Speaker 11>for you.

0:25:22.460 --> 0:25:23.320
<v Speaker 1>And we.

0:25:25.030 --> 0:25:26.430
<v Speaker 6>Tried to innovate in a couple of ways.

0:25:26.530 --> 0:25:28.070
<v Speaker 11>One is that we actually have single stocks in the

0:25:28.090 --> 0:25:32.270
<v Speaker 11>portfolios versus a lot of other, you know, robos out

0:25:32.310 --> 0:25:34.990
<v Speaker 11>there that just kind of buy a group of ETFs.

0:25:35.450 --> 0:25:36.810
<v Speaker 6>We leave you messages.

0:25:36.450 --> 0:25:39.859
<v Speaker 11>About what's happening in your portfolio directly from me and

0:25:39.880 --> 0:25:40.359
<v Speaker 11>my team.

0:25:40.520 --> 0:25:44.280
<v Speaker 6>And then we actually, our fees are capped.

0:25:44.720 --> 0:25:46.459
<v Speaker 11>So if you're a gold member, you don't pay more

0:25:46.480 --> 0:25:48.639
<v Speaker 11>than $ 250 a year for the service.

0:25:48.920 --> 0:25:50.540
<v Speaker 5>How does someone, if they want to invest in one

0:25:50.560 --> 0:25:53.020
<v Speaker 5>of those portfolios, the newer ones you're talking about, how

0:25:53.040 --> 0:25:53.900
<v Speaker 5>do you go about doing that?

0:25:55.330 --> 0:25:57.860
<v Speaker 11>Well, we recognize a couple of things. One is that

0:25:57.890 --> 0:26:01.699
<v Speaker 11>we have a general like philosophy that we think the

0:26:01.740 --> 0:26:05.140
<v Speaker 11>markets have substantially changed kind of post 2022 and rates

0:26:05.160 --> 0:26:07.639
<v Speaker 11>started going up. And as a result of that, we

0:26:07.700 --> 0:26:10.480
<v Speaker 11>wanted to make sure we gave people the best opportunity

0:26:10.520 --> 0:26:13.540
<v Speaker 11>to make money over time. And that means that we

0:26:13.560 --> 0:26:16.869
<v Speaker 11>put you in single names in addition to ETFs. we

0:26:16.910 --> 0:26:19.070
<v Speaker 11>have a couple of different things that we do. We

0:26:19.150 --> 0:26:21.210
<v Speaker 11>ask them a couple of questions and we make sure

0:26:21.250 --> 0:26:24.380
<v Speaker 11>they're in the right risk return profile. Um, and then,

0:26:24.780 --> 0:26:27.700
<v Speaker 11>you know, we have an investment process that's grounded in

0:26:27.740 --> 0:26:30.700
<v Speaker 11>behavioral finance, um, which is very different, I'd say than a.

0:26:30.640 --> 0:26:31.520
<v Speaker 6>Lot of other places too.

0:26:31.560 --> 0:26:33.160
<v Speaker 5>How do you decide on the single stocks?

0:26:33.880 --> 0:26:36.040
<v Speaker 11>Well, that's what I, so we start with a quantitative

0:26:36.080 --> 0:26:38.730
<v Speaker 11>investment process that kind of keeps our emotion out of it,

0:26:38.810 --> 0:26:41.330
<v Speaker 11>but that's pretty easily to get caught up in that.

0:26:41.410 --> 0:26:44.169
<v Speaker 11>And then we have an overlay, um, from our team

0:26:44.210 --> 0:26:49.040
<v Speaker 11>and we use, um, artificial intelligence quite a bit to

0:26:49.080 --> 0:26:51.120
<v Speaker 11>help support our investment research.

0:26:51.280 --> 0:26:53.659
<v Speaker 5>So then is it more unique to that individual how

0:26:53.700 --> 0:26:56.900
<v Speaker 5>you're picking those individual stocks and more broadly?

0:26:57.609 --> 0:27:00.210
<v Speaker 11>It's kind of a mix. We want to obviously have

0:27:00.250 --> 0:27:04.689
<v Speaker 11>scale for our investors. We have over 350,000 customers and

0:27:04.730 --> 0:27:08.470
<v Speaker 11>we have over $ 2 billion in assets. But you can

0:27:08.530 --> 0:27:13.020
<v Speaker 11>customize your account. You can restrict stocks. You can change

0:27:13.080 --> 0:27:16.940
<v Speaker 11>the risk return profile of your portfolio directly. So there's

0:27:16.960 --> 0:27:19.939
<v Speaker 11>a lot of ways we can make it customized and

0:27:19.960 --> 0:27:23.560
<v Speaker 11>personalized for you. But we do a lot of work

0:27:23.640 --> 0:27:24.200
<v Speaker 11>behind the scenes.

0:27:24.660 --> 0:27:29.609
<v Speaker 1>This is the Bloomberg Surveillance Podcast, available on Apple, Spotify,

0:27:29.710 --> 0:27:33.990
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:27:33.990 --> 0:27:39.410
<v Speaker 1>7 to 10 a.m. Eastern on Bloomberg.com, the iHeartRadio app, TuneIn,

0:27:39.730 --> 0:27:42.780
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