WEBVTT - The Latest on the Fed and Gold

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

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<v Speaker 2>Joining us now, wasting too much time, I'm sorry, folks.

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<v Speaker 2>Richard Clarida of Columbia University, of PIMCO and of course

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<v Speaker 2>the former vice chairman of the FED, Professor CLARDA. Were

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<v Speaker 2>thrilled to have you in today. Can I go nerd

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<v Speaker 2>for a moment? Sure? Okay. I never talk about the

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<v Speaker 2>Nobel Prize in economics. It's like bad luck, and I'm

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<v Speaker 2>not doing that with somebody qualified to get the call

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<v Speaker 2>from Scandinavia. But I want to go back. This is

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<v Speaker 2>really important, Richard Clarida. There can be like in nineteen eighty,

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<v Speaker 2>I've had the honor of talking to Joe Stiglitz about

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<v Speaker 2>Gross and Stiglitz, which in nineteen eighty I'm not kidding, folks,

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<v Speaker 2>it was like a four page paper. It was small,

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<v Speaker 2>it was focused. And then with you and you know,

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<v Speaker 2>I don't want to get into you know this or

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<v Speaker 2>that there's Clarita Girtler and A Gali okay, up at

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<v Speaker 2>Brown University. When you make a paper like that that

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<v Speaker 2>is treasured by this is on DSGE folks, it's treasured

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<v Speaker 2>by all of economics, how do you get that paper done?

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<v Speaker 2>That ends up being like, hey, should they win a

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<v Speaker 2>Nobel Prize? What was the process of doing? You know,

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<v Speaker 2>name the paper, but I'll go to Girtler The Science

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<v Speaker 2>of Monetary Policies just one example.

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<v Speaker 3>Well, it was an interesting time because the authors Mark Gertler,

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<v Speaker 3>Jerdi Galli and I were sort of either early or late.

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<v Speaker 3>But we felt there was a vacuum in academic economics

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<v Speaker 3>in that it treated monetary policy as a black box,

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<v Speaker 3>and we thought these guys are trying to do something sensible.

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<v Speaker 3>So we actually worked out essentially a forward looking tailor

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<v Speaker 3>rule to describe actual monetary policy. And it turned out

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<v Speaker 3>that it actually did a good job and it made

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<v Speaker 3>a lot more sense than the black box. But when

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<v Speaker 3>we wrote that paper, I don't think we had any

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<v Speaker 3>idea that it would have the impact.

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<v Speaker 2>That it did. We thought it could get ignored, okay,

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<v Speaker 2>away from you. In modern economics, there's a nineteenth century

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<v Speaker 2>what's called plug and chug which you have an equation, folks,

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<v Speaker 2>and you fill in the little blanks of the algebraic

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<v Speaker 2>equation the tailor rule. You can't do that because you

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<v Speaker 2>don't know where the output gap is right right out? Yeah,

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<v Speaker 2>is Jerome Powell flying blind?

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<v Speaker 3>Well, he's certainly flying with an obscured vision out the cockpit,

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<v Speaker 3>for sure. And I think there's always some uncertainty about

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<v Speaker 3>things like what is our star? What's the full natural

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<v Speaker 3>rate of unemployment? But it's probably elevated now. And the stakes,

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<v Speaker 3>let's be honest, I guess, let me cut to the punchline.

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<v Speaker 3>The stakes are higher now because of the fact that

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<v Speaker 3>for the last four years inflation has been above target,

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<v Speaker 3>and of course in twenty twenty one and twenty twenty

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<v Speaker 3>two it served and was not transitory. And so I

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<v Speaker 3>would argue that the stakes are higher now for the

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<v Speaker 3>FED than they have been.

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<v Speaker 2>Really, going back to Paul Volker forty years.

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<v Speaker 4>Ago, does the government shutdown impact the Fed's ability to

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<v Speaker 4>manage its mandate here in terms of managing interest rates?

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<v Speaker 3>The longer it goes on, the more that becomes a factor.

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<v Speaker 3>In particular, because a lot of the data comes from

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<v Speaker 3>the government, including you know, inflation data and the labor

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<v Speaker 3>market data. Now, the FED, like many other organizations and

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<v Speaker 3>in the private sector, looks at a wide range of

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<v Speaker 3>high frequency data. You get ADP, you get a lot

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<v Speaker 3>of different indicators of the labor market. But yes, the

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<v Speaker 3>longer this goes on, the more challenging it is to

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<v Speaker 3>determine exactly where the economy is.

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<v Speaker 4>What do you think is the bigger risk for this economy?

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<v Speaker 4>Is it from the Fed's perspective, is it the labor market?

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<v Speaker 4>Is this inflation? Are they evenly balanced here? What do

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<v Speaker 4>you think the bigger risk?

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<v Speaker 3>Well that was what was important about the September meeting

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<v Speaker 3>because up until September, Jay Powell and many on the

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<v Speaker 3>committee had said, look, we have dual mandate employment and inflation,

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<v Speaker 3>and they seem to be roughly in balance. And at

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<v Speaker 3>the September meeting they said, we're now more concerned about

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<v Speaker 3>the balance of risk in the labor market. And I

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<v Speaker 3>respect that, But the reality is inflation now using the

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<v Speaker 3>FEDS preferred measures two point nine percent, that's where it

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<v Speaker 3>was eighteen months ago. It's well above two and so

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<v Speaker 3>there is a risk to both sides. There's a risk

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<v Speaker 3>if you don't cut rates the unemployment rate goes up

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<v Speaker 3>a lot. There is a risk that if you do

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<v Speaker 3>cut rates a year from now, inflation stuck in the threes.

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<v Speaker 2>Richard Claiter, with this talk, is a former vice chairman

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<v Speaker 2>of the FED. For an extensive conversation. When we invented this, Paul,

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<v Speaker 2>I mean to go from Man Deep Singh with his

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<v Speaker 2>brilliance on AI to Professor Claiter, I mean, this is

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<v Speaker 2>the way you roll, That's how you do it. This

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<v Speaker 2>is how you do it. We said good morning to

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<v Speaker 2>all of you across America worldwide as well. Okay, I'm

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<v Speaker 2>in the basement of the of our building in London

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<v Speaker 2>with a guy named Jean Claude Trichet, the engineer from Leon.

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<v Speaker 2>He's brilliant. He goes Tom, I think you call me Tom.

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<v Speaker 2>I can't remember, and he says it is about diffusion,

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<v Speaker 2>and we're talking about productivity. I hate the phrase K

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<v Speaker 2>shaped economy because it implies a symmetric distribution baloney. The

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<v Speaker 2>productivity that we're all witnessing right now. Maybe Jeff Sachs

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<v Speaker 2>would be good at this. Yeah, the productivity that we're witnessing.

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<v Speaker 2>You can't tell me it's evenly diffused. Across some mirror.

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<v Speaker 2>How asymmetric are we in this productivity? Boom?

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<v Speaker 3>Well, I think you're one hundred percent right. You know

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<v Speaker 3>the term in economics, you know, is is it labor

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<v Speaker 3>augmenting technical change?

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<v Speaker 2>And I think the answer is yes.

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<v Speaker 3>But more labor is augmented, another lager over time may

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<v Speaker 3>be substituted for. And I think that is really the

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<v Speaker 3>potential disruption from AI is not only does it lift

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<v Speaker 3>out at per hour, but it also could result in

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<v Speaker 3>at some point in some displacement as well. So I

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<v Speaker 3>think it's too soon to tell, but the minimum we

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<v Speaker 3>know it's not evenly distributed.

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<v Speaker 2>Dominic Constume over at Missou and now Brilliant out of Oxford,

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<v Speaker 2>Doctor Constum would say, there's a capital deepening issue here.

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<v Speaker 2>Explain to our audience this wall of AI money and

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<v Speaker 2>what that does to the capital dynamics of America.

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<v Speaker 3>Well, the interesting point is, you remember a couple decades ago,

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<v Speaker 3>the talk in the US was about the witless economy,

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<v Speaker 3>that we could get all this GDP without bricks and mortar.

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<v Speaker 3>And it turns out that at least for this part

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<v Speaker 3>of the new economy, you need a lot of bricks,

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<v Speaker 3>a lot of mortar, a lot of servers, and a

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<v Speaker 3>lot of power generation. So in some ways to get

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<v Speaker 3>to the very new economy, you need old economy capital spending.

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<v Speaker 3>And that's a pretty interesting period to be in. We

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<v Speaker 3>think it's going to go on for five to ten years,

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<v Speaker 3>but it's a different economy than we were used to

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<v Speaker 3>thinking about in the last twenty years.

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<v Speaker 4>You strip out the AI spend, a lot of folks

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<v Speaker 4>will tell you this economy not that strong. Capital spending

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<v Speaker 4>is not that good.

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<v Speaker 2>How do you think about that arithmetically? That's correct.

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<v Speaker 3>You know, in the first half of the year GDP

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<v Speaker 3>growth was about one point six one point seven. If

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<v Speaker 3>you strip out tech investment then it was somewhere between

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<v Speaker 3>zero and half of that, and you have to adjust

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<v Speaker 3>for imports. But clearly in the first half of the

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<v Speaker 3>year it's really been an AI driven capex economy.

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<v Speaker 4>So one of the issues out there that I guess

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<v Speaker 4>it's got to push the background a little bit, maybe

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<v Speaker 4>just because fatigue is tariffs and the impact on the economy.

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<v Speaker 4>We have not necessarily seen meaningful inflation resulting from the tariffs.

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<v Speaker 4>Growth seems to be kind of hanging in everything. Strong

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<v Speaker 4>gd for in a few weeks ago. How do you

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<v Speaker 4>think tariffs will impact the economy if at all.

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<v Speaker 3>The economy has been refreshingly and surprisingly resilient. I don't

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<v Speaker 3>think there's any doubt about that. So at PIMCO, we've

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<v Speaker 3>revised up our outlook. You know, Atlanta Fed is now

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<v Speaker 3>saying Q three could come in north of three percent.

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<v Speaker 2>So I actually think it actually in part.

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<v Speaker 3>Is because of at the same time we've had the

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<v Speaker 3>tariff hit to the economy, we've also had a justifiable

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<v Speaker 3>optimism about tech and capital spending, so that that's been

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<v Speaker 3>an important feature. I think the other important feature is that,

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<v Speaker 3>you know, some of the tariffs have been absorbed either

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<v Speaker 3>by the profits of US companies that had a lot

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<v Speaker 3>of profits to absorb or foreign exporters. And then the

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<v Speaker 3>third piece is we're probably not yet at the at

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<v Speaker 3>the endpoint of teriffs. They will continue to show up

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<v Speaker 3>in the inflation data at least for a while, but

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<v Speaker 3>I think increasingly I and the Federal of the view,

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<v Speaker 3>and that the FEDS what's important that this is really

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<v Speaker 3>not going to be an inflationary story. It's a price

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<v Speaker 3>level adjustment that we're sort of in the middle innings

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<v Speaker 3>of getting through.

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<v Speaker 2>Against some nerd knowledge here, folks, Good morning Global Wall Street.

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<v Speaker 2>Richard Clara with this with PIMCO, and of course forever

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<v Speaker 2>with his Columbia University. Okay, my path in foreign exchange

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<v Speaker 2>is Mundel, Mundel, Fleming, Jacob Frankel. Out of Chicago, a

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<v Speaker 2>guy named Rogoff shows up, No excuse me than Rudy

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<v Speaker 2>Dornbush up at Amputeen this upstart Rogoff and so getting

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<v Speaker 2>ops felt out at Berkeley. They show up and it

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<v Speaker 2>goes on and on and on. Let's take it back

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<v Speaker 2>to Colombia, where you have this incredible that you helped build,

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<v Speaker 2>this incredible synthesis of international economics. Explain to America with

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<v Speaker 2>Xavier Salah, m Lartin or Robert Mundel the Giant would

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<v Speaker 2>say about how screwed up, messed up Japan is. With

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<v Speaker 2>weekend log convex interest rates moving higher, the real rage

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<v Speaker 2>chart published out of Tokyo today by Bloomberg is grim.

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<v Speaker 2>Explain why our listeners and viewers should care about the

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<v Speaker 2>fragility of Japan.

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<v Speaker 3>Well, because Japan is obviously a major economy, but it's

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<v Speaker 3>also an even bigger part of you know, international financial system.

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<v Speaker 3>With the yen an important currency, especially in risk off episodes.

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<v Speaker 2>Somebody has to hold all the jgbs.

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<v Speaker 3>That the government has been issuing, and so what happens

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<v Speaker 3>in Japan also spills over into US capital markets and

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<v Speaker 3>the global economy. And I think what's important for the

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<v Speaker 3>listeners to understand now is that markets and investors have

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<v Speaker 3>had sort of a rule of thumb about Japan, which

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<v Speaker 3>is it sort of goes off in its own it's

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<v Speaker 3>got deflation. Eventually they'll figure out their fiscal situation. And

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<v Speaker 3>now Japan has broken out of deflation. They now have inflation,

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<v Speaker 3>they have positive interest rates, and they're now very much

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<v Speaker 3>a player in the global financial system.

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<v Speaker 5>Is there is there.

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<v Speaker 2>Any precedent for a successful reflation. I don't see it

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<v Speaker 2>in the literature. It's original to Japan, isn't it.

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<v Speaker 3>Well, Japan was went through about a two decade period

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<v Speaker 3>where they had deflation. It wasn't a spiral, but prices

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<v Speaker 3>were negative. I think to me, Tom, one of the

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<v Speaker 3>interesting things about Japan is although the boj was trying

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<v Speaker 3>to reflate the economy, the politicians in the public actually

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<v Speaker 3>didn't get a vote. They actually liked deflation. You know,

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<v Speaker 3>if you've got you've got your savings in yen under

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<v Speaker 3>the mattress. You know, deflation is good for you. So

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<v Speaker 3>I think a challenge right now in Japan is they finally,

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<v Speaker 3>after twenty five years, achieved the positive two or three

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<v Speaker 3>percent inflation. But it's creating substantial political tension as well.

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<v Speaker 2>Well, I can't emphasize that that was brilliant. We'll try

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<v Speaker 2>to do that single best idea. We'll see if the

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<v Speaker 2>interns get the cut today. Well, the societal change. I

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<v Speaker 2>was at the White House correspondence dinner and you got

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<v Speaker 2>this whole security idiocy because the President's there and Martin

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<v Speaker 2>Feldstein's standing in front of me. I think rogue off

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<v Speaker 2>was my guest. Martin Feldstein's standing in front of me.

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<v Speaker 2>We'd all had six martinis. And he turns around and

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<v Speaker 2>he says, Tom, Japan has been lost for two decades. Yep,

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<v Speaker 2>that was a societal struggle.

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<v Speaker 5>Is Japan now found?

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<v Speaker 4>Is it out of the wilderness at this point?

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<v Speaker 6>Do you think?

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<v Speaker 3>Well, as I mentioned, you know, narrowly, it certainly is

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<v Speaker 3>no longer in deflation.

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<v Speaker 2>It has positive interests.

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<v Speaker 3>I will say, just an anecdote, if I'm allowed an anecdote,

0:12:17.920 --> 0:12:21.160
<v Speaker 3>I visit Japan almost every year for the last thirty years.

0:12:21.480 --> 0:12:22.840
<v Speaker 2>And most recently this summer.

0:12:22.880 --> 0:12:26.440
<v Speaker 3>I was struck by not only the boom in the economy,

0:12:26.720 --> 0:12:29.000
<v Speaker 3>but it is a real tourist magnet now. In fact,

0:12:29.040 --> 0:12:31.679
<v Speaker 3>if anything, in Japan, the politics is such that there

0:12:31.679 --> 0:12:33.800
<v Speaker 3>are too many tour right, which is a problem they

0:12:33.800 --> 0:12:35.400
<v Speaker 3>did not have for twenty five years.

0:12:35.440 --> 0:12:37.000
<v Speaker 2>Professor, I got to ask you, or I should say

0:12:37.080 --> 0:12:39.880
<v Speaker 2>Vice Chairman, I've got to ask you. Lisa Cook gets

0:12:39.880 --> 0:12:43.000
<v Speaker 2>an extended stay at the Fed. What is the significance

0:12:43.240 --> 0:12:46.560
<v Speaker 2>of Lisa Cook remaining at the Federal Reserved table.

0:12:47.120 --> 0:12:49.600
<v Speaker 3>Well, obviously the case is at the Supreme Court, and

0:12:49.640 --> 0:12:52.800
<v Speaker 3>so we'll know next year where they end up. But

0:12:52.880 --> 0:12:55.719
<v Speaker 3>what's important is, you know, she continues to serve as

0:12:55.720 --> 0:12:59.760
<v Speaker 3>a governor and continues to vote on monetary policy.

0:13:00.480 --> 0:13:03.479
<v Speaker 2>And I think that that is right. I think that's appropriate.

0:13:03.840 --> 0:13:07.559
<v Speaker 2>Did Columbia pay for Sala E. Martin's bright colored jackets?

0:13:08.280 --> 0:13:09.360
<v Speaker 2>Is that part of his deal?

0:13:09.720 --> 0:13:12.400
<v Speaker 3>During my time as chair, we did not subsidize the

0:13:12.920 --> 0:13:16.280
<v Speaker 3>jackets or the m and ms that he distributes to class.

0:13:17.080 --> 0:13:19.600
<v Speaker 2>But I'm not sure about the current practice. This is

0:13:19.720 --> 0:13:23.280
<v Speaker 2>your dovo. Sally Martin's like three quarters of a mile away,

0:13:23.559 --> 0:13:25.800
<v Speaker 2>and he's there in bright orange, just like there's the

0:13:25.840 --> 0:13:29.480
<v Speaker 2>growth guy from Columbia, Richie Claire brilliant. Thank you so much, really,

0:13:29.520 --> 0:13:32.240
<v Speaker 2>treasure of the comments there. Maybe we'll get him back

0:13:32.280 --> 0:13:37.280
<v Speaker 2>once we figure out who Scandinavia annoints this week as well.

0:13:37.480 --> 0:13:41.400
<v Speaker 2>Clarida is with Pimco. Stay with us. More from Bloomberg

0:13:41.559 --> 0:13:43.600
<v Speaker 2>Surveillance coming up after this.

0:13:50.840 --> 0:13:54.439
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us Live

0:13:54.480 --> 0:13:58.000
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on Apple,

0:13:58.040 --> 0:14:01.400
<v Speaker 1>Karplay and Android Otto with the Work Business up or

0:14:01.520 --> 0:14:03.000
<v Speaker 1>what Us Live on YouTube.

0:14:03.120 --> 0:14:06.119
<v Speaker 2>Joining us now. Finally, Jane Foley out of FX strategy

0:14:06.600 --> 0:14:09.360
<v Speaker 2>at Robbo Bank in London. I can't say enough, folks

0:14:09.360 --> 0:14:13.280
<v Speaker 2>about the difference here in the Rabobank of the Netherlands.

0:14:13.320 --> 0:14:19.840
<v Speaker 2>They go back to commercial hedging utilizing foreign exchange back centuries.

0:14:20.320 --> 0:14:24.240
<v Speaker 2>It's a whole different twist here on the dynamics. Jane Fowley,

0:14:24.360 --> 0:14:28.359
<v Speaker 2>I want you to explain the sowhat to our American

0:14:28.440 --> 0:14:31.320
<v Speaker 2>listeners and viewers and those in London frankly as well

0:14:31.960 --> 0:14:36.640
<v Speaker 2>of a week Japanese yen our two point nine standard deviations,

0:14:36.960 --> 0:14:40.400
<v Speaker 2>What why do I care that dollar yen could go

0:14:40.440 --> 0:14:43.440
<v Speaker 2>to one fifty five shockingly week Japan?

0:14:45.160 --> 0:14:47.360
<v Speaker 7>Well, I mean, gently excuse me. That's the talk this

0:14:47.400 --> 0:14:49.160
<v Speaker 7>morning that we could see a move back to one

0:14:49.320 --> 0:14:52.880
<v Speaker 7>fifty five. And it is all because the market thinks, well,

0:14:52.960 --> 0:14:55.200
<v Speaker 7>you know, the end characterve is back on. You know,

0:14:55.240 --> 0:14:57.200
<v Speaker 7>we're going to not get the Bank of the Bank

0:14:57.280 --> 0:15:00.800
<v Speaker 7>of Japan interest rate hiking October after But I would

0:15:00.920 --> 0:15:04.480
<v Speaker 7>warn but I think this is a really dangerous strategy

0:15:04.480 --> 0:15:08.040
<v Speaker 7>in it. Why is it dangerous because if you think

0:15:08.080 --> 0:15:11.600
<v Speaker 7>about the position of the LDP leader now, and she

0:15:11.760 --> 0:15:14.280
<v Speaker 7>is of course quite likely to be voted in as

0:15:14.400 --> 0:15:17.440
<v Speaker 7>the Prime minister maybe next week, although there's some issues

0:15:17.480 --> 0:15:20.840
<v Speaker 7>there with her coalition, But assuming she is the prime minister,

0:15:20.880 --> 0:15:24.640
<v Speaker 7>you've got to wonder does she actually want a weaker yen?

0:15:24.920 --> 0:15:27.560
<v Speaker 7>Now the market is assuming that she is going to

0:15:27.560 --> 0:15:31.640
<v Speaker 7>follow the policies of her mental Aarby. But of course

0:15:31.680 --> 0:15:35.000
<v Speaker 7>when Abe was the prime minister, things were very different

0:15:35.000 --> 0:15:38.440
<v Speaker 7>in Japan. They were still trying to fight deflation. Now

0:15:38.640 --> 0:15:42.760
<v Speaker 7>Japan has got inflation, and she is very concerned that

0:15:42.840 --> 0:15:47.160
<v Speaker 7>a lot of this inflation is because of important inflation.

0:15:47.400 --> 0:15:50.080
<v Speaker 7>And of course, if you are worried about important inflation.

0:15:50.800 --> 0:15:54.720
<v Speaker 7>Why would you want a weaker currency, particularly when you

0:15:54.760 --> 0:15:57.400
<v Speaker 7>want to build a strong relationship with President Trump, who,

0:15:57.440 --> 0:16:01.400
<v Speaker 7>according to the Japanese prayers, may start Japan in his

0:16:01.600 --> 0:16:04.080
<v Speaker 7>visits to Asia and perhaps at the end of this time.

0:16:04.120 --> 0:16:07.400
<v Speaker 7>So I think this could be quite a dangerous strategy.

0:16:07.440 --> 0:16:09.600
<v Speaker 7>I'm not quite so certain that beat the carriage trade

0:16:09.600 --> 0:16:10.400
<v Speaker 7>will be on so long.

0:16:10.560 --> 0:16:13.760
<v Speaker 2>In Paul Toro Fujioko off for Tokyo Desk has a

0:16:13.760 --> 0:16:17.960
<v Speaker 2>brilliant story today showing the in the new inflation, the

0:16:18.000 --> 0:16:22.960
<v Speaker 2>inflation justed wages. The japan people are flat on If

0:16:23.000 --> 0:16:27.160
<v Speaker 2>that happened in America, they'll literally be revolt. They're flat

0:16:27.240 --> 0:16:30.120
<v Speaker 2>on their back with a negative real wage growth.

0:16:30.240 --> 0:16:33.320
<v Speaker 4>Absolutely, Jane, we've got I think the story maybe this

0:16:33.360 --> 0:16:36.320
<v Speaker 4>week over it. Certainly this year has been gold. We've

0:16:36.320 --> 0:16:39.240
<v Speaker 4>got gold north of four thousand dollars per ounce. A

0:16:39.240 --> 0:16:42.120
<v Speaker 4>lot of folks are saying, hey, this is a safe haven,

0:16:42.360 --> 0:16:44.720
<v Speaker 4>maybe more so than the US dollar. What are folks

0:16:44.760 --> 0:16:47.440
<v Speaker 4>in your world thinking about the relationship between the US

0:16:47.480 --> 0:16:48.120
<v Speaker 4>dollar and gold.

0:16:49.320 --> 0:16:51.320
<v Speaker 7>Well, certainly that seems to be you know, the fashion

0:16:51.360 --> 0:16:53.720
<v Speaker 7>trade right now. But I do think that there is

0:16:53.880 --> 0:16:56.240
<v Speaker 7>room for both and I do think that if we

0:16:56.280 --> 0:17:00.320
<v Speaker 7>did have, say a sudden step up of geopolitician, I

0:17:00.320 --> 0:17:02.960
<v Speaker 7>think we'd see the dollar and we'd see gold gold rallying,

0:17:02.960 --> 0:17:05.200
<v Speaker 7>although over time the dollar, you know, if the dollar

0:17:05.240 --> 0:17:07.560
<v Speaker 7>were to recover significantly, of course, I think there would

0:17:07.560 --> 0:17:08.680
<v Speaker 7>be forfit taking first of.

0:17:08.600 --> 0:17:09.760
<v Speaker 2>All in gold.

0:17:10.119 --> 0:17:14.160
<v Speaker 7>Now, gold I think is a real true diversification trade

0:17:14.200 --> 0:17:16.320
<v Speaker 7>this year, and I think this is where a lot

0:17:16.320 --> 0:17:18.280
<v Speaker 7>of the buying has come from. You know, if we

0:17:18.400 --> 0:17:20.280
<v Speaker 7>go back to the first five months of this year,

0:17:20.320 --> 0:17:23.240
<v Speaker 7>that there was this rotation trade away from the US

0:17:23.240 --> 0:17:26.160
<v Speaker 7>assets and maybe that's stop now bores turned around because

0:17:26.160 --> 0:17:28.240
<v Speaker 7>we do see you know, the AI trade, the S

0:17:28.280 --> 0:17:32.200
<v Speaker 7>and P making you such strong gains really since since June.

0:17:32.240 --> 0:17:36.040
<v Speaker 7>But I think there is diversification still amongst that. We've

0:17:36.040 --> 0:17:39.240
<v Speaker 7>seen various different stock markets, including the perform quite well

0:17:39.800 --> 0:17:42.200
<v Speaker 7>this year, and we've seen silver do well, We've seen

0:17:42.240 --> 0:17:44.920
<v Speaker 7>bitcoin do well, and I think there is a want

0:17:44.920 --> 0:17:48.960
<v Speaker 7>by many investors really to diversify their portfolios, and I

0:17:48.960 --> 0:17:51.200
<v Speaker 7>think that's where the strength in gold is coming from.

0:17:51.760 --> 0:17:54.520
<v Speaker 4>Jane, We've we've seen the Bloomberg dollar index, you know,

0:17:54.600 --> 0:17:57.200
<v Speaker 4>kind of stabilize here over the last month, or two

0:17:57.280 --> 0:18:00.199
<v Speaker 4>here the dollars stabilized. Is this kind of a a

0:18:00.240 --> 0:18:03.439
<v Speaker 4>new level you think for the dollar?

0:18:03.640 --> 0:18:05.800
<v Speaker 7>Yeah, you know, the dollar is the best performing G

0:18:05.920 --> 0:18:08.520
<v Speaker 7>ten currency on the one month view, despite the fact

0:18:08.520 --> 0:18:10.880
<v Speaker 7>that it's still the worst performing on the year to date.

0:18:11.440 --> 0:18:14.240
<v Speaker 7>And we have seen a lot of stability really over

0:18:14.280 --> 0:18:17.359
<v Speaker 7>the summer months. Really sort of July is and you know,

0:18:17.400 --> 0:18:19.399
<v Speaker 7>a lot has been said over the spring about the

0:18:19.920 --> 0:18:24.200
<v Speaker 7>hedging strategies or the change in hedging strategies by non

0:18:24.840 --> 0:18:29.320
<v Speaker 7>US dollar based fund managers, and that probably accelerated the

0:18:29.400 --> 0:18:32.440
<v Speaker 7>downside of the donor certainly through the spring. But if

0:18:32.440 --> 0:18:35.080
<v Speaker 7>we assume that for now, you know, that's done, maybe

0:18:35.080 --> 0:18:37.440
<v Speaker 7>it could start again. But if we assume it's done,

0:18:37.600 --> 0:18:39.200
<v Speaker 7>you know, I think what we've got now is short

0:18:39.240 --> 0:18:42.399
<v Speaker 7>covering in the dollar because there's an awful lot of

0:18:42.520 --> 0:18:47.280
<v Speaker 7>fed easine in the price. The market's still whether or

0:18:47.280 --> 0:18:48.640
<v Speaker 7>not inflation will come through.

0:18:48.560 --> 0:18:51.600
<v Speaker 2>Tours jargon here, let's let's translate this. Jane. You're saying,

0:18:51.640 --> 0:18:54.640
<v Speaker 2>everybody bet the bank, bet the farm that there would

0:18:54.640 --> 0:18:57.480
<v Speaker 2>be strong dollar, and now they're turning that trade around

0:18:57.480 --> 0:18:58.400
<v Speaker 2>and going the other way.

0:18:59.560 --> 0:19:01.360
<v Speaker 7>It seems that's what happened in the spring. So if

0:19:01.359 --> 0:19:04.440
<v Speaker 7>we go back to the global financial crisis, we've seen

0:19:04.720 --> 0:19:07.720
<v Speaker 7>you since then, a massive rally out performance of the

0:19:07.800 --> 0:19:10.280
<v Speaker 7>S and P five foundred and really a massive rally

0:19:10.280 --> 0:19:12.320
<v Speaker 7>in the value of the US dollars. So everyone was

0:19:12.359 --> 0:19:17.960
<v Speaker 7>buying American assets and during that period non dollar based assets,

0:19:18.000 --> 0:19:21.760
<v Speaker 7>so really Asian European fund managers, they were investing in

0:19:21.760 --> 0:19:23.399
<v Speaker 7>a lot more money. There was a lot more money

0:19:23.600 --> 0:19:26.240
<v Speaker 7>to be invested, and a lot of that was finding

0:19:26.280 --> 0:19:28.639
<v Speaker 7>its way into the US. And I think come the

0:19:28.680 --> 0:19:32.480
<v Speaker 7>beginning of this year, the market, okay, the dollar's done

0:19:32.560 --> 0:19:35.040
<v Speaker 7>so well in recent years, we weren't that hedged, and

0:19:35.160 --> 0:19:37.200
<v Speaker 7>at the start of this year they started to hedge

0:19:37.240 --> 0:19:37.719
<v Speaker 7>the dollars.

0:19:37.800 --> 0:19:39.679
<v Speaker 2>Jane, we're running out of time. First of all, we

0:19:39.720 --> 0:19:41.080
<v Speaker 2>got to get you in the studio in New York

0:19:41.080 --> 0:19:42.840
<v Speaker 2>to do like a double barrel, like a whole hair

0:19:42.880 --> 0:19:46.080
<v Speaker 2>four with Jane Folly, a raval bank. Jane. People think

0:19:46.119 --> 0:19:48.200
<v Speaker 2>I got hired at Bloomberg because I'm like bow tie.

0:19:48.200 --> 0:19:51.160
<v Speaker 2>It's not true, folks. I mean meetings with like Matt Winkler,

0:19:51.200 --> 0:19:54.520
<v Speaker 2>Peter Grauer retiring chairman, and they're going dance all our

0:19:54.600 --> 0:19:56.960
<v Speaker 2>rods and cones. Where do you do that, You do

0:19:57.040 --> 0:20:00.560
<v Speaker 2>that in Jane Foley space. Foreign exchange, Jane, I'm seeing

0:20:00.680 --> 0:20:06.200
<v Speaker 2>huge tension. If I look at something obscure like sterling swissy,

0:20:07.160 --> 0:20:12.040
<v Speaker 2>I'm out strong, Swiss franc to new territory, new points

0:20:12.440 --> 0:20:16.040
<v Speaker 2>of tension. If I look at euro yen back up

0:20:16.040 --> 0:20:20.400
<v Speaker 2>to a one seventy seven week en, points of tension

0:20:20.800 --> 0:20:25.240
<v Speaker 2>in your world, What do those tensions mean in foreign exchange,

0:20:25.600 --> 0:20:29.080
<v Speaker 2>for the stock market, for the bond market.

0:20:29.240 --> 0:20:31.040
<v Speaker 7>Well, I mean the Nikai T two five has perform

0:20:31.119 --> 0:20:33.920
<v Speaker 7>really quite well this year. But if you're an overseas

0:20:33.960 --> 0:20:36.800
<v Speaker 7>investor investing in Japanese assets, well, you're not going to

0:20:36.840 --> 0:20:39.880
<v Speaker 7>really like the en going lower. Now.

0:20:40.000 --> 0:20:41.040
<v Speaker 2>The yen again.

0:20:40.920 --> 0:20:43.280
<v Speaker 7>Seems out of place here because what we've seen is

0:20:43.520 --> 0:20:46.800
<v Speaker 7>some Safeyvin Ausset's doing quite well, the dollar stabilizing, the

0:20:46.800 --> 0:20:49.480
<v Speaker 7>Swiss frank doing well, goal doing well, but the yen

0:20:49.520 --> 0:20:51.800
<v Speaker 7>again on the back foot, and that to me is

0:20:51.840 --> 0:20:56.480
<v Speaker 7>another reason why this yen selloff is probably overdone.

0:20:56.800 --> 0:20:59.880
<v Speaker 2>Okay, Jane Foley, thank you, thank you so much. Stay

0:21:00.119 --> 0:21:10.960
<v Speaker 2>with us. More from Bloomberg Surveillance coming up after this.

0:21:10.960 --> 0:21:14.880
<v Speaker 1>This is the Bloomberg Surveillance podcast. Listen live each weekday

0:21:14.920 --> 0:21:18.240
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:21:18.359 --> 0:21:21.280
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:21:21.400 --> 0:21:24.960
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:21:25.000 --> 0:21:27.560
<v Speaker 1>say Alexa play Bloomberg eleven thirty.

0:21:27.800 --> 0:21:33.359
<v Speaker 2>Here's the way it rolls, folks, Economics, finance, investment, international relations.

0:21:33.800 --> 0:21:38.280
<v Speaker 2>It's no different than sports entertainment. Taylor Swift, did you

0:21:38.320 --> 0:21:39.440
<v Speaker 2>know she has a new album out?

0:21:39.480 --> 0:21:39.960
<v Speaker 6>I heard that.

0:21:40.280 --> 0:21:43.280
<v Speaker 2>I think we're efforting her right now, Miss Swift. If

0:21:43.320 --> 0:21:47.160
<v Speaker 2>you're listening, bring Jack with you as well. Taylor. Anyways,

0:21:47.160 --> 0:21:49.720
<v Speaker 2>people keep score and as a young kid that came

0:21:49.760 --> 0:21:52.920
<v Speaker 2>out of York University of York in England and all

0:21:52.960 --> 0:21:56.120
<v Speaker 2>of a sudden things are working. He's with Capital Economics,

0:21:56.400 --> 0:22:00.800
<v Speaker 2>which is a really wonderful firm writing clear stuff. He's

0:22:00.840 --> 0:22:05.399
<v Speaker 2>global group, such a group Chief Economistic Capital Economics, but

0:22:05.600 --> 0:22:09.600
<v Speaker 2>really made us a splash, like with the ft and

0:22:09.640 --> 0:22:14.000
<v Speaker 2>the thinking within England of what in God's name is

0:22:14.080 --> 0:22:17.520
<v Speaker 2>going on? The summary of it is a wonderful two

0:22:17.600 --> 0:22:21.640
<v Speaker 2>hundred and fifty pages. The Fractured Age Martin Wolf warbles

0:22:21.680 --> 0:22:25.280
<v Speaker 2>gaily on the cover. A guy named Robert Nibleta Chathamhouse

0:22:25.280 --> 0:22:27.960
<v Speaker 2>shows up so does bread sets her Neil shearing with

0:22:28.040 --> 0:22:31.800
<v Speaker 2>us in celebration of the fractured age? Did you time

0:22:31.920 --> 0:22:34.439
<v Speaker 2>the book release for the world falling apart?

0:22:36.440 --> 0:22:38.679
<v Speaker 6>Some things with the book that you need an idea,

0:22:39.160 --> 0:22:41.480
<v Speaker 6>you need the support of your friends and family, and

0:22:41.520 --> 0:22:44.399
<v Speaker 6>you need a bit of luck. I'm luck in space.

0:22:45.240 --> 0:22:49.119
<v Speaker 2>What is the distinction of this fractured age that's not

0:22:49.240 --> 0:22:53.119
<v Speaker 2>in the zeitgeist? Now, all the blood, the eighteen newspapers,

0:22:53.520 --> 0:22:57.199
<v Speaker 2>the media, people like us, what are we missing of

0:22:57.240 --> 0:22:57.840
<v Speaker 2>this fracture?

0:22:58.480 --> 0:23:00.720
<v Speaker 6>So I think that the genesis the book was that

0:23:00.800 --> 0:23:04.320
<v Speaker 6>the rhetoric of deglobalization was everywhere right. Tariff's going up,

0:23:04.400 --> 0:23:07.280
<v Speaker 6>trade barriers going up, this idea that we're returning to

0:23:07.280 --> 0:23:10.719
<v Speaker 6>the nineteen thirties, countries are turning inwards. And when we

0:23:10.760 --> 0:23:13.520
<v Speaker 6>at capst Economics looked at the data, we saw global

0:23:13.520 --> 0:23:16.520
<v Speaker 6>trade volumes going up year on year on year. So

0:23:16.640 --> 0:23:19.000
<v Speaker 6>this idea, the thing that everyone's missing is the idea

0:23:19.000 --> 0:23:22.920
<v Speaker 6>that the world isn't deglobalizing. But clearly something is changing.

0:23:23.440 --> 0:23:25.000
<v Speaker 6>And as I argue in the Burke, and as we've

0:23:25.000 --> 0:23:27.119
<v Speaker 6>written about a cap of Economics, the thing that has

0:23:27.160 --> 0:23:30.960
<v Speaker 6>shifted is the relationship between the world's two major economies,

0:23:30.960 --> 0:23:34.760
<v Speaker 6>the US and China, they've become superpower rivals, and that's

0:23:34.920 --> 0:23:37.960
<v Speaker 6>causing those economies to both put apart or fracture, and

0:23:38.000 --> 0:23:40.320
<v Speaker 6>then other economies to have to pick aside.

0:23:40.400 --> 0:23:44.200
<v Speaker 4>Essentially, So again, we all grew up in a world

0:23:44.200 --> 0:23:48.159
<v Speaker 4>of globalization. That's just that's several generations have grown up

0:23:48.160 --> 0:23:51.080
<v Speaker 4>in that world. Is that still the world we're in

0:23:51.080 --> 0:23:54.240
<v Speaker 4>in terms of globalization, because it again it doesn't feel

0:23:54.240 --> 0:23:54.560
<v Speaker 4>that way.

0:23:54.840 --> 0:23:57.280
<v Speaker 6>Well, globalization has certainly shifted, and if you look at

0:23:57.359 --> 0:24:00.159
<v Speaker 6>trade flows you can see them see the evidence that

0:24:00.320 --> 0:24:05.679
<v Speaker 6>shifting globalization. So up to about four years ago, about

0:24:05.720 --> 0:24:09.040
<v Speaker 6>three quarters of US cell phones came from China. Less

0:24:09.040 --> 0:24:10.840
<v Speaker 6>than one in four cell phones are going to be

0:24:10.880 --> 0:24:13.200
<v Speaker 6>produced in China that are consumed in the US this year,

0:24:13.440 --> 0:24:16.320
<v Speaker 6>with more coming from Vietnam and India. So we're still

0:24:16.359 --> 0:24:19.679
<v Speaker 6>consuming vast amounts of cell phones and imported vast amounts

0:24:19.680 --> 0:24:22.600
<v Speaker 6>of cell phones, but the location of the production is shifting,

0:24:22.840 --> 0:24:24.680
<v Speaker 6>and it's shifting for these security reasons.

0:24:25.359 --> 0:24:28.280
<v Speaker 4>Can the global economy truly be global if there is

0:24:28.320 --> 0:24:35.000
<v Speaker 4>this seemingly broadening divide between China and the West.

0:24:35.320 --> 0:24:38.080
<v Speaker 6>Well, there's going to be greater frictions within global trade

0:24:38.119 --> 0:24:41.560
<v Speaker 6>and capital flows and technology flows, maybe people flows too.

0:24:42.280 --> 0:24:45.440
<v Speaker 6>As I argue in the book, the key economic, key

0:24:45.520 --> 0:24:47.919
<v Speaker 6>driver of the economic consequences of this fracturing it's going

0:24:47.960 --> 0:24:50.720
<v Speaker 6>to be twofold. One is how do other countries align?

0:24:51.640 --> 0:24:53.720
<v Speaker 6>Can the US block, which is enormous, kind of hold

0:24:53.720 --> 0:24:55.760
<v Speaker 6>together or does Trump push everyone apart?

0:24:56.400 --> 0:24:58.280
<v Speaker 5>And then the second, as you allude.

0:24:58.000 --> 0:25:00.840
<v Speaker 6>To Poored, is the contours of the fracturing. If it's

0:25:00.880 --> 0:25:04.240
<v Speaker 6>contained to things like cell phones and batteries and chips

0:25:04.280 --> 0:25:08.280
<v Speaker 6>and semiconductors and pharmaceutical products, then I think the economic

0:25:08.520 --> 0:25:11.320
<v Speaker 6>costs are going to be quite limited to be manageable.

0:25:11.720 --> 0:25:14.480
<v Speaker 6>If we get a much wider fracturing that encompasses many

0:25:14.520 --> 0:25:16.920
<v Speaker 6>more areas than the economic costs will be much larger.

0:25:17.960 --> 0:25:20.480
<v Speaker 6>And if the two sides ever come to conflict, then

0:25:20.720 --> 0:25:23.000
<v Speaker 6>all bets are off. We shouldn't worry about the economic costs.

0:25:22.920 --> 0:25:25.680
<v Speaker 2>We're sharing with us. The fractured age is the book

0:25:25.680 --> 0:25:29.040
<v Speaker 2>two hundred and fifty pages. Mister wolf Over at Financial

0:25:29.080 --> 0:25:33.760
<v Speaker 2>Time says an exceptionally sensible, clear headed, and original thinker.

0:25:33.760 --> 0:25:36.320
<v Speaker 2>I'll vote for that is well. One of your Catholic

0:25:36.320 --> 0:25:39.840
<v Speaker 2>economics essays Europe flat and is back. We see that

0:25:39.960 --> 0:25:43.240
<v Speaker 2>with the politics of France and I looked at it's

0:25:43.359 --> 0:25:46.800
<v Speaker 2>sterling swissy today and my word, it looks like Britain

0:25:46.840 --> 0:25:51.800
<v Speaker 2>after World War Two. How fragile is the continental and

0:25:52.000 --> 0:25:53.800
<v Speaker 2>United Kingdom economy right now?

0:25:54.440 --> 0:25:56.800
<v Speaker 6>I think about the UK to one side. The UK

0:25:56.920 --> 0:25:58.920
<v Speaker 6>we have our own fiscal challenges, but actually I don't

0:25:58.920 --> 0:26:01.600
<v Speaker 6>think they're quite as a cut as say France. Yeah,

0:26:01.600 --> 0:26:03.680
<v Speaker 6>there's plans on the way to reduce the deficit in

0:26:03.720 --> 0:26:06.160
<v Speaker 6>the UK. The question is, really you're optimistic the UK

0:26:06.240 --> 0:26:07.639
<v Speaker 6>can get it det I think we can get to

0:26:07.720 --> 0:26:10.240
<v Speaker 6>kind of muddle our way through. There's enough fiscal fudge

0:26:10.320 --> 0:26:12.280
<v Speaker 6>going around that we can kind of muddle our way.

0:26:12.119 --> 0:26:12.960
<v Speaker 2>Through this one.

0:26:13.200 --> 0:26:15.600
<v Speaker 6>France, it seems to me, is a bit more intractable.

0:26:15.760 --> 0:26:19.520
<v Speaker 6>They've had four governments now of four on the back

0:26:19.560 --> 0:26:22.040
<v Speaker 6>of efforts to try to reduce the budget deficit. The

0:26:22.240 --> 0:26:25.040
<v Speaker 6>parliament is fractured, there's a presidential election due in twenty

0:26:25.119 --> 0:26:28.679
<v Speaker 6>twenty seven. All of this political dysfunction is fodder for

0:26:29.160 --> 0:26:31.280
<v Speaker 6>nationalists populist and let's see what happens in the twenty

0:26:31.320 --> 0:26:33.920
<v Speaker 6>twenty seven election. I don't think that we're going to

0:26:33.960 --> 0:26:36.119
<v Speaker 6>have a repeat of the Eurozone crisis. I don't think

0:26:36.119 --> 0:26:38.600
<v Speaker 6>we're going to get big debt to faults in banking crises.

0:26:38.640 --> 0:26:41.200
<v Speaker 6>The banks in France look pretty well capitalized. They don't

0:26:41.240 --> 0:26:44.119
<v Speaker 6>hold much government debt, but it's a fiscal crisis that

0:26:44.240 --> 0:26:44.600
<v Speaker 6>is brewing.

0:26:44.920 --> 0:26:47.560
<v Speaker 2>Albums. If the right takes over in France, I mean

0:26:47.560 --> 0:26:51.920
<v Speaker 2>within the five party parliamentary system, the right in Hungry,

0:26:52.320 --> 0:26:54.919
<v Speaker 2>the right in Poland, the right, I mean there's a

0:26:55.040 --> 0:26:58.760
<v Speaker 2>huge fear almost of it. I'll call it a Trumpian

0:26:58.880 --> 0:26:59.440
<v Speaker 2>right in.

0:26:59.440 --> 0:27:01.880
<v Speaker 6>Europe, absolutely, and we're seeing it happen. That's what we're

0:27:01.880 --> 0:27:03.840
<v Speaker 6>seeing this play out in real life. That I think

0:27:03.880 --> 0:27:07.159
<v Speaker 6>the question is what type of rights that might might

0:27:08.040 --> 0:27:12.359
<v Speaker 6>govern Italy is an interesting example here. We've had a

0:27:12.440 --> 0:27:15.320
<v Speaker 6>kind of populist right wing government for the last couple

0:27:15.320 --> 0:27:18.880
<v Speaker 6>of years under Georgia Maloney. Actually they've governed in economic

0:27:19.000 --> 0:27:21.840
<v Speaker 6>matters in their relatively orthodox way. So I think it

0:27:21.880 --> 0:27:25.560
<v Speaker 6>depends as much upon how they govern in if they

0:27:25.600 --> 0:27:28.480
<v Speaker 6>win power as to what the rhetoric do.

0:27:28.400 --> 0:27:31.960
<v Speaker 4>You think This is a seminal point for France right

0:27:32.000 --> 0:27:35.640
<v Speaker 4>now to either stay the course and hope for the best,

0:27:35.720 --> 0:27:40.359
<v Speaker 4>or make it some significant changes. Is this a pivot moment.

0:27:40.800 --> 0:27:42.440
<v Speaker 6>I think we are kind of we're approaching one of

0:27:42.480 --> 0:27:45.240
<v Speaker 6>those pivot moments, certainly when it comes to the political

0:27:45.280 --> 0:27:48.119
<v Speaker 6>structure of France. If you look at the rise of

0:27:48.160 --> 0:27:49.240
<v Speaker 6>the right, and you look at the rise of the

0:27:49.320 --> 0:27:51.840
<v Speaker 6>right across Europe, I mean, the center is kind of

0:27:51.880 --> 0:27:54.199
<v Speaker 6>holding so far. The center health in the German elections

0:27:54.280 --> 0:27:57.240
<v Speaker 6>last year. The center's held so far in France. The

0:27:57.359 --> 0:28:00.159
<v Speaker 6>question is would it continue to hold through to twenty

0:28:00.240 --> 0:28:02.639
<v Speaker 6>twenty seven in those elections you're sharing.

0:28:02.720 --> 0:28:05.600
<v Speaker 2>And the government shutdown of the United States.

0:28:05.280 --> 0:28:08.040
<v Speaker 5>Of America, well, I've just spent two hours.

0:28:08.080 --> 0:28:11.480
<v Speaker 6>I came. I flew into Dallas on Monday evening. I

0:28:11.520 --> 0:28:13.119
<v Speaker 6>spent two and a half hours at immigration.

0:28:14.680 --> 0:28:16.520
<v Speaker 2>Yeah, did you say hello to Lisamated?

0:28:17.080 --> 0:28:20.960
<v Speaker 6>Exactly. So it's so it's having a real world consequence

0:28:21.000 --> 0:28:23.640
<v Speaker 6>now in terms of the impact on the economy. When

0:28:23.680 --> 0:28:26.000
<v Speaker 6>we look through the history of government shutdowns, we can't

0:28:26.000 --> 0:28:27.840
<v Speaker 6>really see them in the economic data. It tends to

0:28:27.840 --> 0:28:29.760
<v Speaker 6>be a bit of dislocation that gets made up in

0:28:29.800 --> 0:28:32.439
<v Speaker 6>subsequent months. But again, a bit like France, this speaks

0:28:32.480 --> 0:28:35.359
<v Speaker 6>to political dysfunction, and it is as acute here in

0:28:35.440 --> 0:28:37.600
<v Speaker 6>the US as it is in Europe.

0:28:37.840 --> 0:28:42.280
<v Speaker 2>Congratulations, you're sharing the fractured age. Can't say enough about it.

0:28:42.400 --> 0:28:47.640
<v Speaker 2>Really an abrupt read in well timed to say the least.

0:28:48.080 --> 0:28:59.680
<v Speaker 2>Stay with us. More from Bloomberg Surveillance coming up after this.

0:28:59.680 --> 0:29:03.600
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:29:03.640 --> 0:29:07.040
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:29:07.080 --> 0:29:09.920
<v Speaker 1>with the Bloomberg Business app. You can also watch us

0:29:09.960 --> 0:29:13.680
<v Speaker 1>live every weekday on YouTube and always on the Bloomberg Terminal.

0:29:13.920 --> 0:29:16.920
<v Speaker 2>That special moment here for Bloomberg Surveillance this morning, our

0:29:17.160 --> 0:29:19.800
<v Speaker 2>essay of the year I'm thrilled to announces, will do

0:29:19.880 --> 0:29:22.680
<v Speaker 2>that here in a moment. Stay with us across America

0:29:22.760 --> 0:29:26.320
<v Speaker 2>around the work. Can I just suggest this hour of

0:29:26.320 --> 0:29:29.480
<v Speaker 2>Bloomberg Surveillance sponsored by generous.

0:29:29.120 --> 0:29:30.920
<v Speaker 5>Electric Shorts Finances Chins.

0:29:30.960 --> 0:29:33.560
<v Speaker 2>We'll do that maybe as well. Futures up, ten down,

0:29:33.560 --> 0:29:36.480
<v Speaker 2>Futures up, one hundred and thirty eight. Bloomberg Surveillance this

0:29:36.560 --> 0:29:40.400
<v Speaker 2>Morning brought you by IBKR. Well the US Consumer Sentiment

0:29:40.440 --> 0:29:45.360
<v Speaker 2>Index it seeds sixty in October twenty twenty five at

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0:29:50.600 --> 0:29:56.040
<v Speaker 2>Start predicting today at ibkr dot com slash forecast. Last

0:29:56.080 --> 0:30:00.520
<v Speaker 2>training day for this contract is October twenty five, So

0:30:00.920 --> 0:30:04.000
<v Speaker 2>over a decade ago. David Brooks did an essay in

0:30:04.040 --> 0:30:05.600
<v Speaker 2>the New York Times. It was my essay of the

0:30:05.680 --> 0:30:10.960
<v Speaker 2>year on the nerds in the smooth Guys on Wall Street.

0:30:11.040 --> 0:30:15.400
<v Speaker 2>It was brilliant on the cultural divide on Wall Street.

0:30:15.440 --> 0:30:19.000
<v Speaker 2>I still quote it in speeches all the time. Brilliant essay.

0:30:19.800 --> 0:30:23.160
<v Speaker 2>This year, My essay of the year is on the

0:30:23.280 --> 0:30:27.960
<v Speaker 2>generational divide that we live every single day. Paul's limited,

0:30:28.080 --> 0:30:30.040
<v Speaker 2>I'm limited, Tucker. Do you have offspring?

0:30:31.000 --> 0:30:31.120
<v Speaker 6>Ah?

0:30:31.320 --> 0:30:35.840
<v Speaker 2>Yeah, okay, altering as well, joining us now with my

0:30:36.080 --> 0:30:37.720
<v Speaker 2>essay of the year. This was out of the Wall

0:30:37.720 --> 0:30:41.280
<v Speaker 2>Street Journal a number of days ago, and she's made

0:30:41.280 --> 0:30:44.440
<v Speaker 2>a huge splash with it. Is Professor Susie Welch of

0:30:44.600 --> 0:30:50.080
<v Speaker 2>NYU is gen z unemployable. It has created a firestorm

0:30:50.480 --> 0:30:52.600
<v Speaker 2>of comment. And I have to go to this because

0:30:52.600 --> 0:30:55.000
<v Speaker 2>the last time Susie, I think I saw you was

0:30:55.040 --> 0:30:58.240
<v Speaker 2>with a guy named Jack Welch. When did you decide

0:30:58.400 --> 0:31:02.040
<v Speaker 2>to go into the dark caver and of academics at NYU?

0:31:02.120 --> 0:31:04.200
<v Speaker 2>What was the pat You didn't have to do this?

0:31:04.280 --> 0:31:07.400
<v Speaker 8>I did not I had been in broadcast journalism for

0:31:07.440 --> 0:31:09.920
<v Speaker 8>a bunch of years, and then I was running a

0:31:09.960 --> 0:31:14.200
<v Speaker 8>small tech music tech company, and the pandemic brought it

0:31:14.240 --> 0:31:17.160
<v Speaker 8>to its knees. And then Jack passed away, and I

0:31:17.200 --> 0:31:19.360
<v Speaker 8>went up to the woods of upstate New York with

0:31:19.400 --> 0:31:21.200
<v Speaker 8>all my kids and all their spouses and all of

0:31:21.200 --> 0:31:24.160
<v Speaker 8>our dogs. And then the pandemic ended and everybody went

0:31:24.240 --> 0:31:27.040
<v Speaker 8>back to life. I had been cooking up in my

0:31:27.120 --> 0:31:29.760
<v Speaker 8>mind a class called Becoming You, which was going to

0:31:29.760 --> 0:31:31.240
<v Speaker 8>help people figure out what to do with their lives,

0:31:31.320 --> 0:31:32.840
<v Speaker 8>which was what I was trying to figure out what

0:31:32.880 --> 0:31:33.920
<v Speaker 8>to do with my life.

0:31:34.240 --> 0:31:36.120
<v Speaker 5>And I brought it to n Yu Stern and to.

0:31:36.120 --> 0:31:37.800
<v Speaker 8>The dean there, who I knew from my previous life,

0:31:37.800 --> 0:31:39.240
<v Speaker 8>and I said, I've got this class I wish I

0:31:39.240 --> 0:31:41.800
<v Speaker 8>had taken in business school that has a methodology that

0:31:41.880 --> 0:31:43.680
<v Speaker 8>helps you figure out what to do with your life.

0:31:43.800 --> 0:31:46.640
<v Speaker 8>And he said, well, let's try it as an experiment.

0:31:46.760 --> 0:31:50.400
<v Speaker 2>Before we get to the essay. Yes, what reeks in

0:31:50.480 --> 0:31:55.760
<v Speaker 2>this essay is academic rigidity. This is not some fancy

0:31:55.840 --> 0:31:59.920
<v Speaker 2>person like Susie Welch who decided to get some cushy thing.

0:32:00.560 --> 0:32:03.160
<v Speaker 2>There are some real work of often here. This is

0:32:03.200 --> 0:32:06.840
<v Speaker 2>like legit, accountable academic research, isn't it.

0:32:06.920 --> 0:32:08.480
<v Speaker 5>Yes, I'm proud to say that it is.

0:32:08.560 --> 0:32:10.560
<v Speaker 8>I mean it was conducted by myself and my team,

0:32:10.600 --> 0:32:13.600
<v Speaker 8>which includes all of the usual suspects of psychometricians and

0:32:13.680 --> 0:32:16.960
<v Speaker 8>data analysts and so forth. So we the research, I

0:32:17.000 --> 0:32:18.840
<v Speaker 8>think is I'm really proud of it.

0:32:18.840 --> 0:32:19.760
<v Speaker 5>It's rock solid.

0:32:19.880 --> 0:32:24.160
<v Speaker 2>Forty thousand people, seven thousand plus gen Z types. Yeah,

0:32:24.240 --> 0:32:27.600
<v Speaker 2>when did the shock set in over your outcome? And

0:32:27.640 --> 0:32:28.200
<v Speaker 2>describe there?

0:32:28.360 --> 0:32:31.320
<v Speaker 8>Well, there's a bunch of you know, Look, I teach

0:32:31.880 --> 0:32:35.400
<v Speaker 8>gen Z every single day, I mean every semester. Are

0:32:35.560 --> 0:32:38.560
<v Speaker 8>hundreds of students, So my shock was perhaps less than

0:32:38.600 --> 0:32:40.080
<v Speaker 8>the rest of the team because I'm in the room

0:32:40.240 --> 0:32:44.880
<v Speaker 8>with them. Now, NYU students are not quite as representative

0:32:44.920 --> 0:32:47.680
<v Speaker 8>of gen Z as outside of NYU. These are MBAs,

0:32:47.680 --> 0:32:49.400
<v Speaker 8>so they tend to have a little bit more ger

0:32:49.560 --> 0:32:52.200
<v Speaker 8>going on. I think that when we saw the two

0:32:52.280 --> 0:32:55.560
<v Speaker 8>percent number which we can get to, we were all like,

0:32:55.760 --> 0:32:58.000
<v Speaker 8>we checked it about thirty five timesoose.

0:32:58.040 --> 0:32:59.560
<v Speaker 5>We thought that is too much in that number.

0:33:00.240 --> 0:33:01.720
<v Speaker 8>So what we did is we have a tool called

0:33:01.760 --> 0:33:04.920
<v Speaker 8>the Values Bridge, which we developed in our labs, and

0:33:05.000 --> 0:33:07.000
<v Speaker 8>what it does is it ranks your values from one

0:33:07.040 --> 0:33:10.000
<v Speaker 8>to sixteen, your personal values from one to sixteen. And

0:33:10.080 --> 0:33:13.040
<v Speaker 8>so we now seventy five thousand people have taken this test,

0:33:13.040 --> 0:33:14.360
<v Speaker 8>but at the time we did the research, it was

0:33:14.400 --> 0:33:16.479
<v Speaker 8>forty five thousand people. And we were able to cut

0:33:16.560 --> 0:33:18.719
<v Speaker 8>it by generation and we were able to see gen

0:33:18.840 --> 0:33:21.800
<v Speaker 8>Z's values ranked from one to sixteen. And their number

0:33:21.800 --> 0:33:25.440
<v Speaker 8>one value is something we call you ammonia, which encompasses

0:33:25.480 --> 0:33:29.320
<v Speaker 8>self care, recreation, leisure, fun employment. You know, just so

0:33:29.480 --> 0:33:32.239
<v Speaker 8>John Tucker, But I think we all know somebody who

0:33:32.280 --> 0:33:34.560
<v Speaker 8>was in eutamonia is their number one value. Number two

0:33:34.600 --> 0:33:37.240
<v Speaker 8>was authentic self expression voice as we call it, and

0:33:37.320 --> 0:33:40.320
<v Speaker 8>number three was the desire to organize their life around

0:33:40.360 --> 0:33:42.560
<v Speaker 8>helping other people, which is very admirable, I would say.

0:33:42.960 --> 0:33:45.000
<v Speaker 8>But after I saw those top three values, I thought,

0:33:45.680 --> 0:33:48.120
<v Speaker 8>I wonder what hiring managers are looking for, because my

0:33:48.160 --> 0:33:49.800
<v Speaker 8>students are going out into the world to get hired.

0:33:49.800 --> 0:33:52.480
<v Speaker 8>I have four adult children who are fighting out there

0:33:52.480 --> 0:33:54.360
<v Speaker 8>in the world every day. So we did a separate

0:33:54.640 --> 0:33:59.400
<v Speaker 8>study and we replicated it twice after that to say, okay,

0:33:59.640 --> 0:34:02.160
<v Speaker 8>here the definitions of all the values hiring managers in

0:34:02.280 --> 0:34:07.520
<v Speaker 8>knowledge industries mainly business, It was tech, it was accounting, finance,

0:34:07.560 --> 0:34:10.319
<v Speaker 8>and so forth. The consulting what values are you looking for?

0:34:10.360 --> 0:34:11.240
<v Speaker 5>And lo and behold.

0:34:11.239 --> 0:34:13.400
<v Speaker 8>They were looking for the number one value of achievement,

0:34:13.600 --> 0:34:15.960
<v Speaker 8>the desire to have success that other people can see.

0:34:16.200 --> 0:34:19.160
<v Speaker 8>Number two was a desire for learning, stimulation and growth.

0:34:19.160 --> 0:34:21.920
<v Speaker 8>And the third value was work centrism, the desire to

0:34:22.000 --> 0:34:26.560
<v Speaker 8>work hard. And when you cross reference those two data sets,

0:34:26.719 --> 0:34:29.440
<v Speaker 8>it ends up that it's just two percent of gen

0:34:29.560 --> 0:34:32.359
<v Speaker 8>Z that have the values that hiring managers are looking for.

0:34:32.800 --> 0:34:33.320
<v Speaker 5>It's interesting.

0:34:33.400 --> 0:34:38.160
<v Speaker 4>I've for gen Z adjacent kind of offspring. They're all employed,

0:34:39.160 --> 0:34:42.640
<v Speaker 4>but they tell me their first memories of my oldest

0:34:42.680 --> 0:34:45.640
<v Speaker 4>were nine to eleven. That's their first memory. Yeah, and

0:34:45.680 --> 0:34:49.680
<v Speaker 4>then they had, you know, the great financial crisis, right,

0:34:50.000 --> 0:34:52.120
<v Speaker 4>their parents are impact that everybody's parents are impact. And

0:34:52.120 --> 0:34:54.400
<v Speaker 4>then they had the pandemic. So they've had some stuff,

0:34:54.640 --> 0:34:57.319
<v Speaker 4>you know, and I wonder have that influence is kind

0:34:57.360 --> 0:34:58.839
<v Speaker 4>of how they look the view of the world.

0:34:58.960 --> 0:35:00.960
<v Speaker 8>Yeah, I think they don't want to buy into a

0:35:01.000 --> 0:35:03.080
<v Speaker 8>deal that their parents bought into that didn't work out

0:35:03.120 --> 0:35:03.960
<v Speaker 8>for a lot of their parents.

0:35:04.080 --> 0:35:06.160
<v Speaker 5>I mean, you can you can come up with.

0:35:06.080 --> 0:35:08.279
<v Speaker 8>A hundred reasons why they have these values and they're

0:35:08.400 --> 0:35:10.920
<v Speaker 8>entitled to them. I think that the problem is values

0:35:10.960 --> 0:35:13.960
<v Speaker 8>have consequences, and so some of them also have affluence

0:35:14.000 --> 0:35:16.360
<v Speaker 8>as a top value, and then they are very frustrated

0:35:16.600 --> 0:35:19.120
<v Speaker 8>and frustrated to the point of kind of anger that

0:35:19.160 --> 0:35:22.240
<v Speaker 8>they don't get the they don't get to have affluence

0:35:22.280 --> 0:35:23.840
<v Speaker 8>also as an output. If you have the value of

0:35:23.840 --> 0:35:25.960
<v Speaker 8>self care number one, so they can have their value.

0:35:26.000 --> 0:35:27.640
<v Speaker 8>I don't you know how they can buy their values.

0:35:27.760 --> 0:35:29.440
<v Speaker 8>I get it, there's a million reasons. I mean, their

0:35:29.480 --> 0:35:31.840
<v Speaker 8>parents might be to blame. I mean, with the torrent

0:35:31.880 --> 0:35:34.200
<v Speaker 8>of letters that came to the letters to the editor

0:35:34.239 --> 0:35:36.120
<v Speaker 8>after the article ran, a lot of people had a

0:35:36.160 --> 0:35:38.600
<v Speaker 8>lot of people they wanted to blame for this phenomenon.

0:35:39.480 --> 0:35:43.120
<v Speaker 4>What does corporate America do here? Is corporate America adjust?

0:35:43.239 --> 0:35:43.600
<v Speaker 7>You think that?

0:35:43.840 --> 0:35:45.960
<v Speaker 2>Or do the students adjust or do they.

0:35:46.239 --> 0:35:48.000
<v Speaker 4>Just find to find some common ground?

0:35:48.080 --> 0:35:49.800
<v Speaker 5>Maybe this is a million dollar questions.

0:35:49.800 --> 0:35:51.480
<v Speaker 8>So I've talked to a lot of business leaders since

0:35:51.520 --> 0:35:55.240
<v Speaker 8>the piece came out, and so the companies with brand

0:35:55.360 --> 0:35:58.719
<v Speaker 8>equity who can go higher the two percent are out

0:35:58.719 --> 0:36:01.200
<v Speaker 8>looking for them earlier, and they one executive said to me,

0:36:01.440 --> 0:36:03.960
<v Speaker 8>this is a cage match. We're willing to fight all right,

0:36:03.960 --> 0:36:05.600
<v Speaker 8>they're going to go find that two percent. They're going

0:36:05.640 --> 0:36:07.120
<v Speaker 8>to they know where they are, they're going to go

0:36:07.160 --> 0:36:09.480
<v Speaker 8>get them earlier, and they're going to lock them down.

0:36:09.880 --> 0:36:11.880
<v Speaker 8>And then other companies are going to have to figure

0:36:11.880 --> 0:36:14.359
<v Speaker 8>out what to do about the fact that they're not

0:36:14.400 --> 0:36:18.440
<v Speaker 8>going to be hiring young people who share their company values.

0:36:18.800 --> 0:36:21.560
<v Speaker 8>And do they accommodate them or do they try to

0:36:21.680 --> 0:36:24.320
<v Speaker 8>slowly move them over to a different.

0:36:24.040 --> 0:36:26.040
<v Speaker 5>Way of thinking. It's very hard to talk people out

0:36:26.080 --> 0:36:26.600
<v Speaker 5>of their values.

0:36:26.640 --> 0:36:28.560
<v Speaker 4>However, Yeah, what do you find in the NBA program,

0:36:28.640 --> 0:36:31.600
<v Speaker 4>Because you said those people kind of self select, they

0:36:32.680 --> 0:36:35.920
<v Speaker 4>want to achieve, presumably, but again I would suspect you

0:36:35.960 --> 0:36:36.879
<v Speaker 4>see some of that in your class.

0:36:37.000 --> 0:36:40.279
<v Speaker 8>I mean, I see a preponderance of pneumonia, self care

0:36:40.320 --> 0:36:43.040
<v Speaker 8>being a top value. I do have MBAs, okay and so,

0:36:43.600 --> 0:36:46.520
<v Speaker 8>and in particular the nbas we're majoring in finance. Those

0:36:46.719 --> 0:36:49.040
<v Speaker 8>they have a lot of the values that companies are

0:36:49.040 --> 0:36:50.880
<v Speaker 8>looking for, and they're picked off pretty early.

0:36:52.080 --> 0:36:52.879
<v Speaker 5>But I don't think this.

0:36:52.880 --> 0:36:55.520
<v Speaker 8>Is true in colleges in general, and I think there's

0:36:55.520 --> 0:36:56.800
<v Speaker 8>a few And this is what I mean is that

0:36:56.840 --> 0:36:58.520
<v Speaker 8>companies are going to figure out where the two percent

0:36:58.520 --> 0:36:59.759
<v Speaker 8>are and they're going to come get them and they're

0:36:59.760 --> 0:37:00.640
<v Speaker 8>going to at them early.

0:37:01.440 --> 0:37:04.600
<v Speaker 4>So how about for these these kids, though, I mean,

0:37:05.000 --> 0:37:08.800
<v Speaker 4>do they recognize that maybe they are in fact different

0:37:09.000 --> 0:37:12.480
<v Speaker 4>from certainly maybe their parents and maybe their grandparents and others,

0:37:12.520 --> 0:37:14.560
<v Speaker 4>and they they're defiant and they're okay with them.

0:37:14.600 --> 0:37:17.560
<v Speaker 8>No, they're defiant. I mean they're not just okay. They're

0:37:17.680 --> 0:37:20.600
<v Speaker 8>they're they're defiant. They're like you, I mean what the

0:37:20.719 --> 0:37:23.439
<v Speaker 8>letters from gen Z that I got, the emails were like, hey,

0:37:24.080 --> 0:37:27.080
<v Speaker 8>shut up over there, lady, because you ruined the world.

0:37:27.120 --> 0:37:30.359
<v Speaker 8>You boomer people ruined the world. And our response is this,

0:37:30.719 --> 0:37:32.879
<v Speaker 8>and why would we want your values? Look what you

0:37:32.920 --> 0:37:37.840
<v Speaker 8>did to us with climate change and terrorism and school shootings.

0:37:38.000 --> 0:37:41.560
<v Speaker 5>You created this world? Why would we buy your version

0:37:41.600 --> 0:37:42.080
<v Speaker 5>of events?

0:37:42.280 --> 0:37:45.440
<v Speaker 2>Welcome all of you across America. It is my essay

0:37:45.520 --> 0:37:48.680
<v Speaker 2>of the year. Susie Welch, professor at New York University.

0:37:48.719 --> 0:37:51.000
<v Speaker 2>Where that's it's in the Wall Street journals. Created a

0:37:51.040 --> 0:37:55.640
<v Speaker 2>firestorm of comment, including from the kids in my family

0:37:55.719 --> 0:37:57.960
<v Speaker 2>as well. Susie, I had the honor of talking to

0:37:58.000 --> 0:38:00.560
<v Speaker 2>a guy named Jack Welch and frankly on it fmled

0:38:00.600 --> 0:38:04.840
<v Speaker 2>as well. Is the magic of the corridor from Pittsfield, Massachusetts,

0:38:05.120 --> 0:38:10.080
<v Speaker 2>through Albany out the Mohawk River Valley every single nineteenth

0:38:10.239 --> 0:38:14.439
<v Speaker 2>early twentieth century industrial X exercise out to the Great

0:38:14.480 --> 0:38:19.280
<v Speaker 2>Eastman Kodec Company GE nineteen twelve invented a fine benefit

0:38:19.320 --> 0:38:24.040
<v Speaker 2>pension plan. Those companies Carrier in Syracuse, Coodek, and Rochester.

0:38:24.400 --> 0:38:27.080
<v Speaker 2>They took care of their employees. What you're going to

0:38:27.160 --> 0:38:29.839
<v Speaker 2>hear in your classroom, what I hear every day is

0:38:29.880 --> 0:38:34.399
<v Speaker 2>the loyalty has been broken because of the employers. What

0:38:34.440 --> 0:38:38.000
<v Speaker 2>do employers need to do to increase that two percent

0:38:38.360 --> 0:38:39.920
<v Speaker 2>to a much larger number.

0:38:41.040 --> 0:38:43.920
<v Speaker 8>I think that they can't do what they would need

0:38:43.920 --> 0:38:47.279
<v Speaker 8>to do, which is promise a long term employment. I mean,

0:38:47.320 --> 0:38:49.520
<v Speaker 8>people feel loyal when they feel like, Okay, I'm investing

0:38:49.520 --> 0:38:51.200
<v Speaker 8>my time in a company, and I'm going to be

0:38:51.239 --> 0:38:53.000
<v Speaker 8>here in two or three years and my boss is

0:38:53.000 --> 0:38:53.480
<v Speaker 8>going to be here.

0:38:53.600 --> 0:38:56.440
<v Speaker 2>Disclosure Bloomberg LP every day. It's a privilege. I mean,

0:38:56.440 --> 0:38:58.440
<v Speaker 2>that's where we come from, right, the three of us

0:38:58.520 --> 0:38:59.319
<v Speaker 2>in this were right.

0:38:59.440 --> 0:39:01.920
<v Speaker 8>Well, you probably a sense that, look, this company is

0:39:01.960 --> 0:39:04.319
<v Speaker 8>healthy and it's thriving, and we're all going to be here,

0:39:04.360 --> 0:39:06.960
<v Speaker 8>and I'm willing to give myself to this organization and

0:39:07.000 --> 0:39:09.000
<v Speaker 8>to work the extra hours because we're all going to

0:39:09.040 --> 0:39:11.920
<v Speaker 8>be here together. And but for most people going into organizations,

0:39:11.920 --> 0:39:14.560
<v Speaker 8>there's this constant sense of fragility and we may not

0:39:14.680 --> 0:39:15.000
<v Speaker 8>be here.

0:39:15.080 --> 0:39:16.200
<v Speaker 5>I could be gone tomorrow.

0:39:16.360 --> 0:39:19.680
<v Speaker 8>Why would you invest in yourself in that? And so

0:39:20.239 --> 0:39:23.680
<v Speaker 8>that contract is pretty much over now. There are places

0:39:23.719 --> 0:39:25.960
<v Speaker 8>I think JP Morgan, Goldman Zachs you can go and

0:39:25.960 --> 0:39:28.280
<v Speaker 8>think I could try to build my whole career here.

0:39:28.280 --> 0:39:30.160
<v Speaker 5>But there's not a lot of companies like that anymore.

0:39:30.480 --> 0:39:33.480
<v Speaker 4>A lot of it is technology. There's so much technology

0:39:33.480 --> 0:39:35.560
<v Speaker 4>out there, there's so much. Is that a net positive?

0:39:35.600 --> 0:39:37.040
<v Speaker 4>Like do the kids in your class like that's a

0:39:37.080 --> 0:39:42.080
<v Speaker 4>net positive? AI is probably all over your daily issues

0:39:42.200 --> 0:39:46.440
<v Speaker 4>with your dealings with your students. Is that is technology

0:39:46.440 --> 0:39:48.360
<v Speaker 4>with the hindsight a net positive or net negative?

0:39:48.960 --> 0:39:51.000
<v Speaker 8>This is I don't know the answer. Sometimes I think

0:39:51.040 --> 0:39:53.000
<v Speaker 8>it's a real net negative and what it's done to

0:39:53.120 --> 0:39:54.920
<v Speaker 8>how much we talk to each other. But I will

0:39:54.960 --> 0:39:59.000
<v Speaker 8>say that my students are terrified because of AI. Like right,

0:39:59.040 --> 0:40:02.279
<v Speaker 8>AI is taking the job they would do AI. You know,

0:40:02.440 --> 0:40:05.440
<v Speaker 8>a first year consultant or a first year analyst, they're

0:40:05.440 --> 0:40:08.520
<v Speaker 8>like deer in headlights, like what jobs are left for us?

0:40:09.000 --> 0:40:13.080
<v Speaker 8>How where are our entry points? That's why technology is scary.

0:40:13.200 --> 0:40:15.719
<v Speaker 8>Now when it comes to using AI for.

0:40:15.680 --> 0:40:18.880
<v Speaker 5>Homework, that's a totally what is your experience? What do

0:40:18.880 --> 0:40:19.120
<v Speaker 5>you say?

0:40:19.400 --> 0:40:21.120
<v Speaker 8>When it first came out, they were using it a lot,

0:40:21.239 --> 0:40:23.319
<v Speaker 8>and then as teachers we got very savvy about how

0:40:23.360 --> 0:40:26.120
<v Speaker 8>to phrase the homework, you know, from your personal experience.

0:40:26.640 --> 0:40:28.000
<v Speaker 8>And then I look at my students, I say, you know,

0:40:28.000 --> 0:40:29.600
<v Speaker 8>it's against the rules to use this on exams, and

0:40:29.640 --> 0:40:32.759
<v Speaker 8>I'm asking you personally, for reasons of integrity, do not

0:40:32.840 --> 0:40:33.279
<v Speaker 8>use AI.

0:40:33.320 --> 0:40:34.200
<v Speaker 5>And generally they.

0:40:34.120 --> 0:40:39.080
<v Speaker 2>Comb aerospace engineering At Boulder, I got through the Great

0:40:39.080 --> 0:40:42.520
<v Speaker 2>Books English course off the cliff notes. Did you mean

0:40:42.600 --> 0:40:45.560
<v Speaker 2>is there any difference between the cliff notes and AI?

0:40:47.520 --> 0:40:49.880
<v Speaker 8>That's a good point. I think that AI does the

0:40:49.920 --> 0:40:52.200
<v Speaker 8>thinking for them. With the cliff notes, usually you would

0:40:52.200 --> 0:40:54.480
<v Speaker 8>then go into a classroom and you'd be forced to

0:40:54.480 --> 0:40:57.959
<v Speaker 8>discuss issues. But AI, right, you know, does the thinking

0:40:58.000 --> 0:40:58.799
<v Speaker 8>and the talking.

0:40:58.840 --> 0:41:01.520
<v Speaker 2>Explain to me what I I also see, particularly what

0:41:01.640 --> 0:41:06.920
<v Speaker 2>I'm giving speeches between the American gen z yeah and

0:41:06.960 --> 0:41:11.160
<v Speaker 2>the hungry four is a stereotype the hungry for in

0:41:11.239 --> 0:41:15.200
<v Speaker 2>a kid's recent immigrants. Second they're not buying the gen

0:41:15.320 --> 0:41:19.560
<v Speaker 2>Z thing. They're focused and they're killing it in differential equations.

0:41:19.760 --> 0:41:20.640
<v Speaker 2>It's stern, all right.

0:41:20.680 --> 0:41:22.640
<v Speaker 8>So this is what I want to say to that,

0:41:23.400 --> 0:41:24.799
<v Speaker 8>and I want to wait to the data comes in.

0:41:24.840 --> 0:41:27.120
<v Speaker 8>But we are currently running the exact same study in

0:41:27.160 --> 0:41:31.200
<v Speaker 8>three different places, one with first generation immigrants as part

0:41:31.200 --> 0:41:33.880
<v Speaker 8>of the gen Z and then we are attempting in

0:41:33.960 --> 0:41:37.399
<v Speaker 8>a collaboration with a different school to do it for

0:41:37.440 --> 0:41:39.759
<v Speaker 8>this exact study in India, and I don't know if

0:41:39.760 --> 0:41:41.560
<v Speaker 8>we'll be able to do it, but in China. And

0:41:41.600 --> 0:41:45.160
<v Speaker 8>I think that has implications for American competitiveness because if

0:41:45.160 --> 0:41:48.920
<v Speaker 8>it comes back, then in India eighty two percent of

0:41:48.960 --> 0:41:53.280
<v Speaker 8>gen Z has hiring managers values.

0:41:53.640 --> 0:41:55.239
<v Speaker 5>Right, that's worriesome that.

0:41:55.320 --> 0:41:57.239
<v Speaker 2>Susie Welcher is my essay of the year. It's in

0:41:57.280 --> 0:42:00.400
<v Speaker 2>the Wall Street Journal on gen Z. Thrilled could come

0:42:00.440 --> 0:42:05.080
<v Speaker 2>in to celebrate the research of it at New York University,

0:42:05.080 --> 0:42:06.360
<v Speaker 2>Paul finished it up. Please.

0:42:06.440 --> 0:42:08.839
<v Speaker 4>I wonder if gen Z, because I live with them

0:42:08.840 --> 0:42:13.879
<v Speaker 4>every day, will be if their values will change as

0:42:13.880 --> 0:42:18.280
<v Speaker 4>they age and they say, ooh, I got a mortgage now, Okay, So.

0:42:18.520 --> 0:42:22.279
<v Speaker 8>Values generally don't change, Okay, right, values are generally set

0:42:22.320 --> 0:42:24.040
<v Speaker 8>by time we're twenty five years old, because a lot

0:42:24.080 --> 0:42:26.160
<v Speaker 8>of things go into that too. What changes is how

0:42:26.200 --> 0:42:28.520
<v Speaker 8>much we express them or repress them. So I think

0:42:28.520 --> 0:42:30.480
<v Speaker 8>what will happen is gen Z will keep these values

0:42:30.480 --> 0:42:32.920
<v Speaker 8>because unless you have a seismic event, your values generally

0:42:32.920 --> 0:42:36.000
<v Speaker 8>stay the same your whole life. The seismic event may

0:42:36.040 --> 0:42:38.920
<v Speaker 8>be not getting a job, and then therefore they'll repress

0:42:39.000 --> 0:42:42.080
<v Speaker 8>certain values or they'll suppress them not happily.

0:42:43.440 --> 0:42:46.480
<v Speaker 4>Do you see that as again, you're the one of

0:42:46.520 --> 0:42:48.760
<v Speaker 4>the top NBA programs in the world.

0:42:48.800 --> 0:42:53.960
<v Speaker 2>Here my first sponsor, first people to step up.

0:42:54.320 --> 0:42:56.480
<v Speaker 4>My point is half of Global Wall Street came out

0:42:56.480 --> 0:42:57.240
<v Speaker 4>of the Stern program.

0:42:57.480 --> 0:42:57.920
<v Speaker 2>Everywhere.

0:42:57.960 --> 0:43:02.240
<v Speaker 5>Absolutely, that's ever really true. I mean, as a student

0:43:02.239 --> 0:43:05.799
<v Speaker 5>body changed there? Do you think my students who I.

0:43:05.760 --> 0:43:07.480
<v Speaker 8>Don't want to make generalizations, but my students who are

0:43:07.600 --> 0:43:10.960
<v Speaker 8>first generation generally are in that two percent, so they're

0:43:10.960 --> 0:43:13.400
<v Speaker 8>not changing anything. They're like, they've got their parents' values

0:43:13.400 --> 0:43:17.239
<v Speaker 8>and they're there to win, and they are clearly already there.

0:43:17.680 --> 0:43:20.440
<v Speaker 8>I don't see the change yet right now, I just

0:43:20.560 --> 0:43:25.800
<v Speaker 8>see a shock, you know, Okay, nobody doubts the research, right,

0:43:25.920 --> 0:43:27.080
<v Speaker 8>they don't know what they're going to do.

0:43:27.080 --> 0:43:29.360
<v Speaker 2>Do you give out c's? Okay, I just you know,

0:43:29.520 --> 0:43:32.520
<v Speaker 2>just a vignette, folks. I had a privilege of Ruth

0:43:32.560 --> 0:43:37.640
<v Speaker 2>Rebecca Stroic in mathematics one hundred million years ago. It

0:43:37.680 --> 0:43:41.040
<v Speaker 2>was a curved grade, right like in England where it's

0:43:41.160 --> 0:43:45.319
<v Speaker 2>much tougher. Could you give Professor Walch a Tito's and

0:43:45.400 --> 0:43:50.879
<v Speaker 2>tang that's good morning? Drink here, Susie, Susie, I look

0:43:50.920 --> 0:43:54.600
<v Speaker 2>at the great inflation and it's a joke. I mean,

0:43:54.960 --> 0:43:58.719
<v Speaker 2>I killed myself for quality C in organic chemistry.

0:43:58.840 --> 0:44:01.080
<v Speaker 5>Yes, I did too. I have I want you to

0:44:01.120 --> 0:44:03.160
<v Speaker 5>know something. I have given a C.

0:44:04.200 --> 0:44:06.840
<v Speaker 8>It's not a very common thing, but what the student

0:44:06.840 --> 0:44:09.440
<v Speaker 8>maybe should have gotten was different than a C. But

0:44:09.520 --> 0:44:11.360
<v Speaker 8>I gave a CE. It felt like a very brave

0:44:11.480 --> 0:44:14.400
<v Speaker 8>and daring thing to do. I spoke to the academic

0:44:14.400 --> 0:44:16.560
<v Speaker 8>dean beforehand, setting I'm giving a CI.

0:44:17.080 --> 0:44:17.719
<v Speaker 2>No kidding me?

0:44:17.800 --> 0:44:21.600
<v Speaker 8>Yeah, because look there's a there's great devlation everywhere. You know,

0:44:21.719 --> 0:44:24.920
<v Speaker 8>I'd be lying to say there wasn't. Should we be

0:44:24.960 --> 0:44:26.719
<v Speaker 8>giving c's the students to say, no, no, no, we

0:44:26.760 --> 0:44:27.480
<v Speaker 8>got to get jobs.

0:44:27.480 --> 0:44:30.640
<v Speaker 5>Please don't do that to us. But lawyers are not

0:44:30.719 --> 0:44:31.680
<v Speaker 5>allowed to ask your.

0:44:31.520 --> 0:44:34.960
<v Speaker 2>Gpsh no one in the control room has ever gotten

0:44:35.000 --> 0:44:37.239
<v Speaker 2>a C. That's what. No, Let's go around the room.

0:44:37.600 --> 0:44:40.160
<v Speaker 4>Business School back in the early nineties, you had twenty

0:44:40.239 --> 0:44:42.319
<v Speaker 4>classes and if you passed all twenty, they stamped your

0:44:42.320 --> 0:44:43.799
<v Speaker 4>passport and I could go back to a Wall Street

0:44:43.800 --> 0:44:46.480
<v Speaker 4>at twice the pay. So though, saying was twenty p's

0:44:46.640 --> 0:44:47.440
<v Speaker 4>equals sixty G.

0:44:47.840 --> 0:44:48.680
<v Speaker 5>My grades mattered.

0:44:48.719 --> 0:44:50.759
<v Speaker 8>My grades at Harvard Busines School, my grades at Harvard,

0:44:50.760 --> 0:44:54.160
<v Speaker 8>they both mattered a lot. And I worked so hard,

0:44:54.480 --> 0:44:56.279
<v Speaker 8>and I did ask do they work the.

0:44:56.280 --> 0:44:59.239
<v Speaker 2>Same hard today that you lived at HBS.

0:44:59.320 --> 0:45:01.040
<v Speaker 5>I don't know. I don't know because I'm not.

0:45:02.000 --> 0:45:04.239
<v Speaker 2>I've asked these kids get through Michael.

0:45:03.960 --> 0:45:07.960
<v Speaker 8>Porter at HBS right now. I got to believe it

0:45:08.040 --> 0:45:10.360
<v Speaker 8>they can. I mean, I don't know because I'm not

0:45:10.400 --> 0:45:12.439
<v Speaker 8>in that classroom. I ask my friends there.

0:45:12.440 --> 0:45:16.319
<v Speaker 4>Here's what my friend, this Bloomberg LP is managed by

0:45:16.320 --> 0:45:18.799
<v Speaker 4>twenty and thirty somethings, So we're the outliers.

0:45:18.880 --> 0:45:19.879
<v Speaker 7>Yeah, and the.

0:45:19.920 --> 0:45:23.279
<v Speaker 4>Smartest people running these businesses are to me kids. But

0:45:23.360 --> 0:45:26.880
<v Speaker 4>they're so smart, they're so driven, they're so creative. I

0:45:26.960 --> 0:45:29.520
<v Speaker 4>hired a bunch of them from boom Bloombir Intelligence.

0:45:29.560 --> 0:45:31.239
<v Speaker 2>Yes, yeah, I'm not.

0:45:31.360 --> 0:45:33.400
<v Speaker 4>I'm fine. I'm comfortable with this.

0:45:33.520 --> 0:45:34.319
<v Speaker 5>The kids are all right.

0:45:34.360 --> 0:45:37.080
<v Speaker 2>The kids are all right. One final question of twenty seconds,

0:45:37.160 --> 0:45:38.520
<v Speaker 2>how much hate mail have you gotten?

0:45:40.440 --> 0:45:43.560
<v Speaker 5>It's a good portion of it. I have to say.

0:45:43.600 --> 0:45:45.360
<v Speaker 5>You know, people always like to kill the messenger.

0:45:45.480 --> 0:45:47.360
<v Speaker 8>And you know, it's as if I stood up and

0:45:47.400 --> 0:45:50.719
<v Speaker 8>said gen Z is unemployable at me and they did.

0:45:52.040 --> 0:45:56.319
<v Speaker 2>What you've done is phenomenal. Susie Welch, thank you so much.

0:45:56.400 --> 0:45:59.960
<v Speaker 2>My essay of the year is gen Z Unemployed.

0:46:01.080 --> 0:46:05.920
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:46:06.040 --> 0:46:09.839
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0:46:09.880 --> 0:46:13.719
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0:46:13.840 --> 0:46:17.640
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0:46:17.960 --> 0:46:21.080
<v Speaker 1>You can also watch us live every weekday on YouTube

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<v Speaker 1>and always on the Bloomberg terminal.