WEBVTT - US Bond Yields, Kevin Warsh, and Nvidia Preview

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

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<v Speaker 2>We start unbelievably strong for Global Wall Street. Arguably our

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<v Speaker 2>conversation of the day, given what's going on with fixed income.

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<v Speaker 2>Kelsey row is executive director Fixed Income at JP Morgan.

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<v Speaker 2>She is the closest desk to Dangerous Provisions breakfast food.

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<v Speaker 2>Oh okay, h Jpie Morgan, I walked live. Well there,

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<v Speaker 2>it's fourteen steps away. So you and I are having

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<v Speaker 2>breakfast at Dangerous Provisions this morning, along with your team

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<v Speaker 2>and the great hallmark of Bob Michael's team. As you

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<v Speaker 2>guys argue like cats and dogs and come up with

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<v Speaker 2>a consensus on the thirty year bond. Do you have

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<v Speaker 2>in your head a yield? It's a tipping point, a

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<v Speaker 2>great point where things unwind.

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<v Speaker 3>It's difficult to say exactly what that level is, but

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<v Speaker 3>I do think that we can take some signal from

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<v Speaker 3>the markets right now and also from the way that

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<v Speaker 3>policy makers are reacting So when we reached five thirty

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<v Speaker 3>a five point three percent on the thirty year treasure yield, right,

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<v Speaker 3>that's when we saw Secretary Bessant step in with the buybacks.

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<v Speaker 3>We saw a quick ten basis point rally lower on thirties,

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<v Speaker 3>and then essentially all of that got wiped away, which

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<v Speaker 3>I'm not going to say means that the whole thing was.

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<v Speaker 4>A complete waste.

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<v Speaker 3>There is signaling there there is more that he can do,

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<v Speaker 3>but it does speak to the fact that to really

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<v Speaker 3>get stabilization in the markets right now, it's not just

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<v Speaker 3>one factor. You're going to need multiple factors to come together.

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<v Speaker 3>So what we've been looking at is the fall of

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<v Speaker 3>twenty twenty three experience. So that was a time where

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<v Speaker 3>the Fed had finished hiking, but people weren't quite sure.

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<v Speaker 3>The tenure yield tested five percent and then ultimately retraced,

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<v Speaker 3>and there were a number of things that came together.

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<v Speaker 3>One of them was a surprise from the Treasury at

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<v Speaker 3>the time. Jannie Yellen, who had shifted the issue in schedule,

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<v Speaker 3>made some surprise announcements in terms of less long end issuance,

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<v Speaker 3>and that did help stabilize the market, but ultimately it

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<v Speaker 3>also had to come from softer economic data and a

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<v Speaker 3>shift in the FED. And so that's why I think

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<v Speaker 3>while I can point to similarities between that time, there

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<v Speaker 3>are also big differences, which is then you know there

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<v Speaker 3>was a much greater concern of a growth slowdown.

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<v Speaker 4>We're not seeing that now.

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<v Speaker 3>So when we're talking about stabilization and yields, we're not

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<v Speaker 3>talking about one hundred basis point retracement, but we are

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<v Speaker 3>talking about the potential that term premium has rised sufficiently

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<v Speaker 3>and we may be at a point where, you know,

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<v Speaker 3>you can find some stabilization if the right factors come

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<v Speaker 3>into place.

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<v Speaker 5>Stabilization stabilization, I mean a five handle in the thirty

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<v Speaker 5>year Should we get used to that?

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<v Speaker 4>Do you think we could?

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<v Speaker 3>And I think these are levels that are really more normal,

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<v Speaker 3>That's what we want to be thinking about them as

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<v Speaker 3>their normal relative to.

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<v Speaker 4>The growth backdrop.

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<v Speaker 3>When you look at nominal GDP, when you look at

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<v Speaker 3>real GDP, you know, these these.

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<v Speaker 4>Are levels that are are normal to those.

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<v Speaker 3>And also this is an environment where the curve is

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<v Speaker 3>very steep to cash. So thinking about it as a

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<v Speaker 3>bond investor, we've been through a lot of periods in

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<v Speaker 3>the last few years where nobody looked at bonds because

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<v Speaker 3>cash had a higher yield than bonds and we had

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<v Speaker 3>inverted yield curves and those that was not a good

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<v Speaker 3>environment for fixing come demand.

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<v Speaker 4>Right now, we actually have the opp that we have.

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<v Speaker 3>Very steep curves. There's a significant me oald to pick

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<v Speaker 3>up to cash. There's roll down when you extend beyond

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<v Speaker 3>the curve. So there's actually a lot of opportunity. And

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<v Speaker 3>so the thing that I've been focused on. Everybody talks

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<v Speaker 3>about record growth supply. You know, in September in investment

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<v Speaker 3>grade we're looking at anywhere between one hundred and seventy

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<v Speaker 3>five billion and two hundred and fifty billion of supply.

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<v Speaker 3>But also what's been forgotten is that you've also seen

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<v Speaker 3>record demand for high grade funds. So this year so far,

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<v Speaker 3>year to date, it's the largest in terms of flows

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<v Speaker 3>into high grade funds compared to every cumulative you're back

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<v Speaker 3>to twenty ten.

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<v Speaker 2>Would you say in this and I was grilled on

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<v Speaker 2>this this weekend by everyone. I mean, these two multuous

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<v Speaker 2>times that we're in, you make the distinction that late nine,

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<v Speaker 2>late twenty twenty three was about a slower economic growth.

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<v Speaker 2>To me, the most important person in this debate is

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<v Speaker 2>Michael Feroli and that we have to figure out what

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<v Speaker 2>nominal GDP's going to do, what real GDP is going

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<v Speaker 2>to do, And isn't the solution here to get away

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<v Speaker 2>from a ridiculous banana republic boom economy statistic.

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<v Speaker 3>So I'm not sure that I agree with that because

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<v Speaker 3>it really depends on what the neutral rate is and

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<v Speaker 3>if this is causing inflation.

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<v Speaker 4>So when you talk about concerns.

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<v Speaker 3>About deficits, when you talk about concerns around running the

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<v Speaker 3>economy too hot, the reason that those are unsustainable is

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<v Speaker 3>because they cause too much inflation. But the reality is

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<v Speaker 3>that we're not actually seeing signs of inflation or runaway

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<v Speaker 3>inflation in the data or in the markets. So if

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<v Speaker 3>you look at inflation expectations, those have remained really well anchored.

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<v Speaker 3>If you look at CPI, which I know is not

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<v Speaker 3>the FEDS metric, but the three month run rate is

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<v Speaker 3>below two percent, and the sixth month in the year

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<v Speaker 3>over year at two point four and two and a

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<v Speaker 3>half percent. Core PCE, the FEDS preferred measure, is actually

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<v Speaker 3>the inflation outlier. Now I'm not saying inflation is low,

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<v Speaker 3>it is running somewhat above the Fed's target.

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<v Speaker 4>But that being said, I'm not seeing the signs that

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<v Speaker 4>this is unsustainable.

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<v Speaker 3>As it relates to creating excess inflation pressure that people

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<v Speaker 3>should be concerned about.

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<v Speaker 2>FED Chairman Walsh.

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<v Speaker 5>He's going to be out in Jackson Hole later this week.

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<v Speaker 5>What do you expect to hear from him?

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<v Speaker 4>That is a really good question.

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<v Speaker 3>So one of the things that I have been doing

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<v Speaker 3>is going around and asking what do you want out

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<v Speaker 3>of Worsh.

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<v Speaker 4>Everybody agrees that they want to.

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<v Speaker 3>Hear something good out of Worsh, that this is a

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<v Speaker 3>great opportunity for him to maybe clean up his messaging,

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<v Speaker 3>to create some clarity, to create some stability.

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<v Speaker 4>But then when you ask people, well, what actually does

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<v Speaker 4>he need to.

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<v Speaker 3>Say to get that outcome, that's where the range of

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<v Speaker 3>views is actually very wide. So there is a camp

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<v Speaker 3>out there that thinks that the only way to get

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<v Speaker 3>the long end the under control is for him to

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<v Speaker 3>sound very hawkish, to hint at a hike in septem

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<v Speaker 3>That's not what the bond market is pricing.

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<v Speaker 4>I'm not necessarily in that camp.

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<v Speaker 3>I don't think that you need to be hawkish to

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<v Speaker 3>be credible, but to be credible, you do need to

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<v Speaker 3>point to what data you're looking at and create a

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<v Speaker 3>allow the market to understand why there is a case

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<v Speaker 3>to stay on hold and not for the future.

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<v Speaker 4>Why not just explain why you did what you did

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<v Speaker 4>in July.

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<v Speaker 2>Listen to her, She's like she's hot, fush, I know

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<v Speaker 2>she's on fire. Kelsey Baro, thank us so much with

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<v Speaker 2>JP Margaret stay with us. More from Bloomberg Surveillance coming

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<v Speaker 2>up after this.

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

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

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<v Speaker 2>Sarah House chewin just right now with Wells Fargo, which

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<v Speaker 2>is a good thing. Working with Thomas Purcelli down there

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<v Speaker 2>and I love buried in your notes, Sarah, how you're

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<v Speaker 2>saying Jackson hole could be a you? Honor? Are you

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<v Speaker 2>telling me with this anticipation? Chairman Walsh is only going

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<v Speaker 2>to talk about task forces?

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<v Speaker 6>Yeah, So obviously we all have to pay attention to

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<v Speaker 6>this speech because at times it has been used to

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<v Speaker 6>give some pretty important policy hints, but more often than not,

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<v Speaker 6>it's used to address some of the bigger questions out there.

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<v Speaker 6>And while I think there has been some pushback about

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<v Speaker 6>Chairworsh's communication so far, he's a lesson more guy when

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<v Speaker 6>it comes to laying out his reaction function. And we're

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<v Speaker 6>still only three months in, so I don't think he's

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<v Speaker 6>going to abandon that strategy and I think if anything, it'll.

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<v Speaker 7>Probably be used to lay out some more of what the.

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<v Speaker 6>Task forces are trying to solve for maybe what some

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<v Speaker 6>of the potential options are around size and composition and

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<v Speaker 6>balance sheet, how they use the SEP. But they're not

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<v Speaker 6>going to commit to anything, but I think ultimately it's

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<v Speaker 6>going to be used to buy some time until those

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<v Speaker 6>task forces are complete with their findings.

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<v Speaker 5>Sir, I think one of the task force is that

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<v Speaker 5>a lot of folks are really focusing on is kind

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<v Speaker 5>of what data might the FED look at that's maybe

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<v Speaker 5>something different than what they've done in the past. What

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<v Speaker 5>do you expect to hear on that front?

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<v Speaker 4>Yeah, so I think.

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<v Speaker 6>We'll hear more in terms of the different alternative data sources,

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<v Speaker 6>So particularly when it comes to the labor market, there's

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<v Speaker 6>a lot of other options for the FED to look

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<v Speaker 6>at in addition to the monthly Employment Report, some of

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<v Speaker 6>the other BLS data like the Jobs Opening and Labor

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<v Speaker 6>and Labor Turnover Survey. But I think ultimately, even as

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<v Speaker 6>I think the FED is going to try to leverage

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<v Speaker 6>some of these alternative data sources that do leverage the

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<v Speaker 6>big data that we have so much access to now

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<v Speaker 6>in the economy, it would really be more about how

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<v Speaker 6>those data sources are going to complement the government data,

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<v Speaker 6>which still remains the gold standard I think, for all

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<v Speaker 6>the different issues it's had in terms of survey responses.

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<v Speaker 7>Fund et cetera.

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<v Speaker 6>It's the one thing that's designed to really mimic the

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<v Speaker 6>broader economy.

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<v Speaker 7>So I would.

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<v Speaker 6>Expect a task force like that, or it'll highlight a

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<v Speaker 6>lot of the other options available, But it all comes

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<v Speaker 6>down to what do they say together in concert. You

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<v Speaker 6>can't just switch from just going from some of the

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<v Speaker 6>government data to these alternative sources, but it's all about

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<v Speaker 6>what do they say together and leveraging that additional information.

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<v Speaker 5>Sarah, we've had now, you know, four or five days

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<v Speaker 5>to kind of digest Treasury Secretary Vesent and is bond

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<v Speaker 5>buying efforts last week. How do you guys at Wells

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<v Speaker 5>Fargo think about that going forward.

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<v Speaker 6>Yeah, so I think, I mean, in some ways this

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<v Speaker 6>is just a short term play to help bring those

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<v Speaker 6>longer and yields down, and it's not going to address

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<v Speaker 6>what we think is the underlying issue, which is really

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<v Speaker 6>these unsustainable fiscal deficits. So yes, there's been other factors

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<v Speaker 6>at play, like increase competition from corporate borrowers, additional uncertainty

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<v Speaker 6>or around the geopolitical inflation, how the Fed's going to

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<v Speaker 6>handle that, But so much of this comes down to

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<v Speaker 6>that we have six percent deficits at a time of

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<v Speaker 6>full employment with I think neither party willing to address that.

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<v Speaker 6>And so I think this doesn't get away that you know,

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<v Speaker 6>this isn't going to bring great sustainably lower Sarah.

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<v Speaker 2>I was thinking about this this weekend with all the

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<v Speaker 2>hysteria Thursday, Friday, and we're living in it right now, folks.

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<v Speaker 2>Future is negative twenty, the VICS sixteen. Again, you know,

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<v Speaker 2>it's not like a Vixa thirty. But there's a lot

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<v Speaker 2>of emotion out there, Sarah. What's the likelihood and wells

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<v Speaker 2>Fargo's really good at this. What's the likelihood that in

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<v Speaker 2>set us some drama? We just keep moving forward with

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<v Speaker 2>this successful American economy.

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<v Speaker 7>Yeah, I mean, I think that's what we've been seeing

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<v Speaker 7>these past few years.

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<v Speaker 6>You've thrown so much at the US economy, everything from

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<v Speaker 6>that aggressive fat hiking cycle to some of them some

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<v Speaker 6>of the biggest changes in trade, Paul.

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<v Speaker 7>See that we've seen in decades.

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<v Speaker 6>You've had some questions around fiscal we've had now higher

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<v Speaker 6>gas prices back above four dollars. But as we've seen

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<v Speaker 6>all these different challenges thrown out the US economy, the

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<v Speaker 6>consumer continues to spend, and of course we've also had

0:12:18.120 --> 0:12:23.040
<v Speaker 6>this very positive secular shock coming from the AI investment.

0:12:23.240 --> 0:12:26.120
<v Speaker 6>So our expectation is that we continue to see pretty

0:12:26.160 --> 0:12:28.520
<v Speaker 6>decent growth through the back half of the year, so

0:12:28.520 --> 0:12:31.680
<v Speaker 6>somewhere a little over over two percent. Maybe consumer not

0:12:31.760 --> 0:12:35.680
<v Speaker 6>quite as strong, but that business investment still booing overall

0:12:35.720 --> 0:12:40.000
<v Speaker 6>growth and also supporting lending some indirect support through through

0:12:40.040 --> 0:12:42.439
<v Speaker 6>the consumer that offsets some of those challenges like higher

0:12:42.440 --> 0:12:46.160
<v Speaker 6>gas prices, the fading boost from tax refunds for example.

0:12:46.360 --> 0:12:48.400
<v Speaker 2>Like Paul, I'm thinking about this, like what are the

0:12:48.480 --> 0:12:51.240
<v Speaker 2>outcomes here out of Jackson Hole and you know, per

0:12:51.320 --> 0:12:54.120
<v Speaker 2>selling the house, play it down at Wills Fargo. But

0:12:54.160 --> 0:12:57.920
<v Speaker 2>to be the basic idea is the juggernaut just keeps going. Yeah.

0:12:58.120 --> 0:13:01.080
<v Speaker 2>I mean Europe looks at Ai says we got to play.

0:13:01.240 --> 0:13:04.679
<v Speaker 5>Yeah, that's interesting. So I mean, Sarah to that end

0:13:04.720 --> 0:13:07.120
<v Speaker 5>of the economy just keep chugging along. Talk to us

0:13:07.120 --> 0:13:09.800
<v Speaker 5>about the labor market. How strong is it or should

0:13:09.800 --> 0:13:12.160
<v Speaker 5>we be concerned that there may not be as strong

0:13:12.200 --> 0:13:13.960
<v Speaker 5>as we think it is. How do you guys view that?

0:13:15.240 --> 0:13:17.480
<v Speaker 7>Yeah, so I'd say overall the labor markets stable, but

0:13:17.520 --> 0:13:18.400
<v Speaker 7>I wouldn't.

0:13:18.040 --> 0:13:21.040
<v Speaker 6>Say it's as strong as as certainly I think what

0:13:21.400 --> 0:13:24.280
<v Speaker 6>the job and the unemployment rate this year would imply

0:13:24.440 --> 0:13:26.520
<v Speaker 6>in terms of that pointing to at.

0:13:26.480 --> 0:13:28.800
<v Speaker 7>Least some modest tightening, we just don't see that.

0:13:28.880 --> 0:13:30.880
<v Speaker 6>I think when you step back and look at okay,

0:13:30.960 --> 0:13:33.439
<v Speaker 6>the unemployment rate is down a couple of tenthsince the

0:13:33.480 --> 0:13:34.120
<v Speaker 6>start of the year.

0:13:34.200 --> 0:13:35.760
<v Speaker 7>Well, the participation rates.

0:13:35.559 --> 0:13:38.720
<v Speaker 6>Down seven tenths, and so this isn't nearly as strong.

0:13:38.440 --> 0:13:40.440
<v Speaker 7>As as first meets the eye.

0:13:40.600 --> 0:13:43.000
<v Speaker 6>You saw some weakness and payrolls there with the July

0:13:43.160 --> 0:13:46.280
<v Speaker 6>report still looking a little bit better, you're to date,

0:13:46.800 --> 0:13:49.920
<v Speaker 6>But I think when you still scratch underneath the surface,

0:13:50.120 --> 0:13:53.520
<v Speaker 6>hiring still remains very very narrow, still a very low

0:13:53.559 --> 0:13:55.920
<v Speaker 6>turnover environment because there just aren't a lot of job

0:13:55.960 --> 0:13:59.640
<v Speaker 6>opportunities out there, and so it's fine if you have

0:13:59.679 --> 0:14:02.280
<v Speaker 6>a job right now, you're at low risk of losing that.

0:14:02.360 --> 0:14:04.760
<v Speaker 6>And that's been another support, I think, to consumer spending.

0:14:05.120 --> 0:14:08.240
<v Speaker 6>But it's very different for a segment of American workers

0:14:08.280 --> 0:14:11.520
<v Speaker 6>to crack into that jobs market. And so when we

0:14:11.880 --> 0:14:13.320
<v Speaker 6>I think, when we step back and we look at

0:14:13.360 --> 0:14:16.600
<v Speaker 6>it in its totality, I say, the labor market's just okay.

0:14:17.200 --> 0:14:19.760
<v Speaker 2>Sarah, Thank you so much. Sarah House with Wells Fargo.

0:14:21.520 --> 0:14:25.720
<v Speaker 2>Stay with us. More from Bloomberg Surveillance coming up after this.

0:14:32.960 --> 0:14:36.560
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:14:36.640 --> 0:14:39.760
<v Speaker 1>weekday afternoons from seven to ten am Eastern. Listen on

0:14:39.880 --> 0:14:43.520
<v Speaker 1>Applecarplay and Android Atto with the Bloomberg Business Up, or

0:14:43.680 --> 0:14:45.360
<v Speaker 1>watch us live on YouTube.

0:14:45.720 --> 0:14:49.000
<v Speaker 2>Joining us now, Sir Dana Ives joins us here with

0:14:49.120 --> 0:14:52.720
<v Speaker 2>Yorkville and I let's start with this because Tom Sekunda,

0:14:52.800 --> 0:14:55.840
<v Speaker 2>founder of Bloomberg, cornered me one day in a food court,

0:14:56.320 --> 0:14:59.080
<v Speaker 2>you know, over the cheeses and he said, hey, stupid,

0:14:59.160 --> 0:15:05.680
<v Speaker 2>get perplexed. It changed my life. Dana. What is perplexity?

0:15:05.840 --> 0:15:08.360
<v Speaker 8>Yeah, when you think about from a model perspective, I

0:15:08.360 --> 0:15:11.480
<v Speaker 8>think perplexity is one of the best out there, especially

0:15:11.640 --> 0:15:14.360
<v Speaker 8>for someone like can't you know when it comes down

0:15:14.400 --> 0:15:17.640
<v Speaker 8>to like heavy analytics a lot of sort of numbers.

0:15:17.680 --> 0:15:20.080
<v Speaker 8>I think perplexity is probably one of the best out there.

0:15:20.320 --> 0:15:22.000
<v Speaker 8>And that's why when you look at what Nvidia is

0:15:22.040 --> 0:15:24.720
<v Speaker 8>potentially doing, it would make actually a lot of sense

0:15:24.880 --> 0:15:27.680
<v Speaker 8>relative to where we see this AI revolutionary.

0:15:27.760 --> 0:15:30.400
<v Speaker 2>In what way would perplexity help in video?

0:15:31.280 --> 0:15:35.080
<v Speaker 8>Well for them, Look, they're essentially taking stakes across the

0:15:35.120 --> 0:15:38.920
<v Speaker 8>whole ecosystem, whether it's infrastructure on the model side, and

0:15:38.960 --> 0:15:41.680
<v Speaker 8>it's a way given anthropic and open AI that I

0:15:41.800 --> 0:15:44.880
<v Speaker 8>really had to dooperly to some extent in terms of AI.

0:15:45.640 --> 0:15:49.560
<v Speaker 8>This would enable them to diversify because in video and

0:15:49.720 --> 0:15:52.320
<v Speaker 8>gen has talked about it even from an open source

0:15:52.320 --> 0:15:56.520
<v Speaker 8>for other models. The cheaper the models get, the more

0:15:56.720 --> 0:16:00.880
<v Speaker 8>pervasive that gets, it's better for AI I spend because

0:16:00.920 --> 0:16:03.920
<v Speaker 8>the cheaper acats you're going to have more and more demand.

0:16:04.400 --> 0:16:06.040
<v Speaker 5>So we are going to hear from Nvidio after the

0:16:06.080 --> 0:16:08.840
<v Speaker 5>closed Wednesday, what should the market be listening for.

0:16:09.400 --> 0:16:12.800
<v Speaker 8>No one has a better perch around demand than the

0:16:12.840 --> 0:16:15.400
<v Speaker 8>god father of AI, Jensen a video. I think it's

0:16:15.440 --> 0:16:18.480
<v Speaker 8>really about when you look, they'll talk. They'll probably talk

0:16:18.520 --> 0:16:22.200
<v Speaker 8>about that price increase that you report over the weekend

0:16:22.240 --> 0:16:25.440
<v Speaker 8>from memory perspective driven, But I think it's really about

0:16:25.440 --> 0:16:28.760
<v Speaker 8>what they're seeing from customers in terms of acceleration. We

0:16:28.880 --> 0:16:35.000
<v Speaker 8>think overall AI demand, we've seen acceleration twenty percent the

0:16:35.120 --> 0:16:37.880
<v Speaker 8>last few months, and there's one chip in the world

0:16:37.920 --> 0:16:40.760
<v Speaker 8>fueling the AI revolution. So I think that this is

0:16:40.800 --> 0:16:44.400
<v Speaker 8>a huge piece of the puzzle when you're thinking about demand,

0:16:44.600 --> 0:16:47.560
<v Speaker 8>especially after what we saw from an earning season that

0:16:47.680 --> 0:16:50.040
<v Speaker 8>was extremely strong, especially from the hyper scours.

0:16:50.640 --> 0:16:52.600
<v Speaker 5>You write down that the biggest tug of war in

0:16:52.640 --> 0:16:55.360
<v Speaker 5>the tech space is around AI sovereignty. What do you

0:16:55.360 --> 0:16:55.840
<v Speaker 5>mean by that?

0:16:56.280 --> 0:16:59.680
<v Speaker 8>What that means is and it's becoming more and more

0:17:00.080 --> 0:17:05.520
<v Speaker 8>of a debate. Really hot button issue is that the data.

0:17:05.960 --> 0:17:08.000
<v Speaker 8>I'm not going to give that data. If I'm a

0:17:08.040 --> 0:17:11.080
<v Speaker 8>company to the model player, to an open AI, to

0:17:11.119 --> 0:17:14.040
<v Speaker 8>an anthropic I can maybe use them, but there's going

0:17:14.080 --> 0:17:16.360
<v Speaker 8>to be a sort of cording off where I won

0:17:16.520 --> 0:17:20.360
<v Speaker 8>control as a company over that data. And that's something

0:17:20.400 --> 0:17:25.040
<v Speaker 8>where in Nvidia Pollunteer there's a big focus specially from

0:17:25.160 --> 0:17:29.320
<v Speaker 8>Carton Pollenteer on sovereign AI data because the view is

0:17:29.359 --> 0:17:35.000
<v Speaker 8>that eventually, if you have my data, then ultimately competitive wise,

0:17:35.359 --> 0:17:38.760
<v Speaker 8>could I marginalize your model? So I think it speaks

0:17:38.760 --> 0:17:41.000
<v Speaker 8>to what's starting to happen is as you're hearing more

0:17:41.040 --> 0:17:45.800
<v Speaker 8>maturity now in the AI space, where enterprises are focused

0:17:45.840 --> 0:17:49.399
<v Speaker 8>more on who has access to their data and should

0:17:49.400 --> 0:17:50.360
<v Speaker 8>they have more control?

0:17:50.520 --> 0:17:52.840
<v Speaker 2>Danna answer this, folks for a quick tech brief here

0:17:53.359 --> 0:17:55.639
<v Speaker 2>we'll talk can to here in a moment. Good Morning

0:17:55.640 --> 0:17:59.840
<v Speaker 2>across America on Serious XM Channel one Morning across all

0:17:59.840 --> 0:18:04.959
<v Speaker 2>of Canada is well, the house is fired up about

0:18:05.119 --> 0:18:09.720
<v Speaker 2>Apple announcements after I believe Labor Day. What will we

0:18:09.840 --> 0:18:12.960
<v Speaker 2>see from Apple and what's it mean for their free

0:18:13.000 --> 0:18:14.439
<v Speaker 2>cash flow and stock price?

0:18:15.119 --> 0:18:18.120
<v Speaker 8>I think for Apple and I think investors now are

0:18:18.160 --> 0:18:20.480
<v Speaker 8>starting more and more to reconneen we've talked about a

0:18:20.480 --> 0:18:23.480
<v Speaker 8>lot on the show. Is that the consumer AI revolution

0:18:23.920 --> 0:18:26.240
<v Speaker 8>that highway. They're a toll collector on that and that's

0:18:26.280 --> 0:18:28.840
<v Speaker 8>going to continue to go through them. I think it's

0:18:28.880 --> 0:18:32.120
<v Speaker 8>really it's about not just the AI strategy, but now

0:18:32.119 --> 0:18:35.040
<v Speaker 8>as you get to the latest iPhone that they release,

0:18:35.920 --> 0:18:38.439
<v Speaker 8>what that's going to do to ultimate demand? Because it

0:18:38.560 --> 0:18:42.639
<v Speaker 8>LEAs out the foundation for everything we're talking about in

0:18:42.680 --> 0:18:46.720
<v Speaker 8>AI is about enterprise comes down to consumer. What are

0:18:46.720 --> 0:18:49.200
<v Speaker 8>device is going to look like? Where is most of

0:18:49.200 --> 0:18:51.719
<v Speaker 8>that going to go through Apple? As when you think

0:18:51.720 --> 0:18:54.160
<v Speaker 8>about one point five billion iPhones. So that's why there's

0:18:54.200 --> 0:18:57.480
<v Speaker 8>such a focus to see as they come out with

0:18:57.560 --> 0:19:00.600
<v Speaker 8>their latest iPhone. Not necessarily there's going to be so

0:19:00.600 --> 0:19:03.680
<v Speaker 8>many changes from a hardware perspective, but tom it's really

0:19:03.720 --> 0:19:06.640
<v Speaker 8>also related more of the AI strategy that they finally

0:19:06.720 --> 0:19:09.960
<v Speaker 8>actually have one now with Gemini.

0:19:10.640 --> 0:19:13.800
<v Speaker 5>So software, earlier in the year, we saw a soft

0:19:13.880 --> 0:19:16.639
<v Speaker 5>and software that I don't think I've seen I can't remember.

0:19:16.840 --> 0:19:18.680
<v Speaker 5>I mean, it's just software, you just own it because

0:19:18.680 --> 0:19:21.080
<v Speaker 5>of the recurring revenue, the high margins, a free cash flow.

0:19:21.560 --> 0:19:23.879
<v Speaker 2>What is the software call.

0:19:23.760 --> 0:19:26.080
<v Speaker 5>On the street these days? Are we trying to pick

0:19:26.119 --> 0:19:29.200
<v Speaker 5>winners and losers? I mean Microsoft was down twenty five

0:19:29.200 --> 0:19:31.560
<v Speaker 5>percent year data one point this year, but now it's

0:19:31.640 --> 0:19:32.639
<v Speaker 5>rallied back to flat.

0:19:32.760 --> 0:19:33.720
<v Speaker 2>What's the software call?

0:19:34.000 --> 0:19:36.480
<v Speaker 8>Well, Paul, I, first of all, I always thought that

0:19:36.480 --> 0:19:41.359
<v Speaker 8>that was a fictional thesis that Anthropic was going to

0:19:41.480 --> 0:19:46.159
<v Speaker 8>eat software companies lunch, that these models were essentially you know,

0:19:46.480 --> 0:19:49.000
<v Speaker 8>going to be destructed. I think what's starting to happen

0:19:49.080 --> 0:19:51.800
<v Speaker 8>now more and more is the use cases get deputed.

0:19:51.840 --> 0:19:55.240
<v Speaker 8>Software is playing a bigger, bigger role. That's what's happling Microsoft.

0:19:55.280 --> 0:19:57.880
<v Speaker 8>You've seen and Pallenteer, and you've seen with service Now

0:19:57.920 --> 0:20:01.840
<v Speaker 8>and a bunch of others. I think it's idiosyncratic to

0:20:01.880 --> 0:20:07.000
<v Speaker 8>the point that there will be software companies disintermediate. And

0:20:07.080 --> 0:20:10.840
<v Speaker 8>you look at companies, maybe the view back against you know,

0:20:11.680 --> 0:20:14.160
<v Speaker 8>when you look in names like Adobe is a good example.

0:20:14.520 --> 0:20:17.520
<v Speaker 8>That's a good example of one where it's okay, Adobe

0:20:17.560 --> 0:20:19.639
<v Speaker 8>into it? How they how is their business not going

0:20:19.720 --> 0:20:23.000
<v Speaker 8>to adjust? But it's a much different narrative today than

0:20:23.040 --> 0:20:24.240
<v Speaker 8>it was six months ago.

0:20:24.440 --> 0:20:26.760
<v Speaker 2>Nobody cares. Alexis here, wants to know who are you

0:20:26.800 --> 0:20:28.960
<v Speaker 2>wearing today? I love this?

0:20:29.040 --> 0:20:30.040
<v Speaker 5>What's what's on your ship?

0:20:30.200 --> 0:20:36.239
<v Speaker 2>For these penguins? So these are penguin penguins. These are

0:20:37.240 --> 0:20:38.600
<v Speaker 2>the parrots.

0:20:39.280 --> 0:20:41.040
<v Speaker 4>And then here this is a duck hat.

0:20:41.280 --> 0:20:43.959
<v Speaker 2>You're very bird today. Who in God's name shirt are

0:20:43.960 --> 0:20:46.000
<v Speaker 2>you wearing? So many emails in they go, is Dan

0:20:46.040 --> 0:20:46.760
<v Speaker 2>wearing Pucci?

0:20:47.200 --> 0:20:50.439
<v Speaker 8>No? This is actually it's a company out of Bali.

0:20:51.240 --> 0:20:54.720
<v Speaker 8>Kenny Matthews, Kenny Flowers.

0:20:54.800 --> 0:20:56.760
<v Speaker 2>I can see it on your show, Kenny Flowers. They're

0:20:56.800 --> 0:20:59.920
<v Speaker 2>out of Bali people wild. I want to know dan Ice,

0:21:00.040 --> 0:21:02.840
<v Speaker 2>thank you so much greatly appreciate it with all of

0:21:02.880 --> 0:21:06.680
<v Speaker 2>his work as well. Here and looking for that Apple

0:21:06.760 --> 0:21:11.200
<v Speaker 2>launch here in a bit Yorkville and ives. Stay with us.

0:21:11.440 --> 0:21:14.680
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:21:21.920 --> 0:21:25.520
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:21:25.560 --> 0:21:28.760
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

0:21:28.800 --> 0:21:32.480
<v Speaker 1>Applecarplay and Android Auto with the Bloomberg Business app, or

0:21:32.640 --> 0:21:34.120
<v Speaker 1>watch us live on YouTube.

0:21:34.520 --> 0:21:37.560
<v Speaker 2>Over a decade ago, David Brooks did an essay that

0:21:37.720 --> 0:21:41.240
<v Speaker 2>was just spectacular on the nerds and the smooth people,

0:21:41.520 --> 0:21:43.639
<v Speaker 2>and it was like instantly you shoe in an essay

0:21:43.680 --> 0:21:45.600
<v Speaker 2>of the year, And every year there's like four or

0:21:45.600 --> 0:21:47.560
<v Speaker 2>five six essays where I'm like, yeah, what am I

0:21:47.600 --> 0:21:49.280
<v Speaker 2>going to do here? Which is the essay of the year.

0:21:49.760 --> 0:21:52.320
<v Speaker 2>Last year was like the Brooks essay of decades ago,

0:21:53.040 --> 0:21:58.800
<v Speaker 2>complete total layup. Is gen Z unemployable? Susie Welch, You

0:21:58.840 --> 0:22:02.639
<v Speaker 2>didn't have to do this some serious academics around our

0:22:02.680 --> 0:22:06.080
<v Speaker 2>perfect grandchildren and our dogs. How many dogs do you have?

0:22:06.280 --> 0:22:07.800
<v Speaker 9>I just have three at the moment.

0:22:08.040 --> 0:22:10.840
<v Speaker 2>Okay, it's a three dog then, but yeah, okay, and

0:22:10.920 --> 0:22:14.600
<v Speaker 2>Susie welch with us of NYU and just incredible work

0:22:15.240 --> 0:22:19.160
<v Speaker 2>on you know, all the emotions that we face every day.

0:22:19.280 --> 0:22:23.880
<v Speaker 2>You have a blistering update? Is gen Z unemployable? Are

0:22:23.920 --> 0:22:25.120
<v Speaker 2>they strivers? Now?

0:22:25.359 --> 0:22:28.639
<v Speaker 9>You know, I don't think it's blistering. I think it's fascinating.

0:22:28.720 --> 0:22:31.920
<v Speaker 9>I love gen Z. I know that they can be very,

0:22:32.040 --> 0:22:34.480
<v Speaker 9>very frustrating. I get that, but I spend all day

0:22:34.480 --> 0:22:37.720
<v Speaker 9>with them, and I don't want to hate on them. Okay,

0:22:38.200 --> 0:22:40.160
<v Speaker 9>but so I will say this. Here's the update.

0:22:40.200 --> 0:22:40.440
<v Speaker 5>Though.

0:22:41.080 --> 0:22:43.879
<v Speaker 9>We test values. We have a psychometric tool called the

0:22:43.920 --> 0:22:47.840
<v Speaker 9>Values Bridge, and it's a very clean, scientifically validated tool,

0:22:47.880 --> 0:22:50.040
<v Speaker 9>and it rank orders people's values and we can cut

0:22:50.080 --> 0:22:52.160
<v Speaker 9>all the data by we have two hundred thousand data points.

0:22:52.160 --> 0:22:54.679
<v Speaker 9>We can cut it by generation. So last year, at

0:22:54.680 --> 0:22:59.119
<v Speaker 9>this time gen Z had achievement, which is ambition and

0:22:59.160 --> 0:23:02.880
<v Speaker 9>grit and desire to win and compete, down at number eleven.

0:23:03.119 --> 0:23:06.320
<v Speaker 9>And actually Tom, the good news is that over the

0:23:06.359 --> 0:23:10.320
<v Speaker 9>past year, probably because of the constricting job market for

0:23:10.480 --> 0:23:16.200
<v Speaker 9>entry level jobs, gen Z's achievement value has marched steadily

0:23:16.280 --> 0:23:18.639
<v Speaker 9>up to number six. So this should be cause for

0:23:19.000 --> 0:23:21.240
<v Speaker 9>celebration in some ways because we would like them to

0:23:21.320 --> 0:23:24.840
<v Speaker 9>like to work. The complicating factor is that the value

0:23:24.880 --> 0:23:27.760
<v Speaker 9>of work centrism, which is the desire to organize yourself

0:23:27.760 --> 0:23:31.679
<v Speaker 9>around work, has dropped, has dropped. It's number fourteen. Okay,

0:23:31.800 --> 0:23:35.000
<v Speaker 9>So what we've got is, look, and you know, it's

0:23:35.000 --> 0:23:38.240
<v Speaker 9>not just gen Z. Their parents also have relatively low

0:23:38.280 --> 0:23:39.080
<v Speaker 9>work centrism.

0:23:39.280 --> 0:23:41.600
<v Speaker 2>And I think that's a problem with the Keynouse.

0:23:41.760 --> 0:23:45.520
<v Speaker 9>I mean, I think that it's that it's people have

0:23:45.520 --> 0:23:47.920
<v Speaker 9>a lot of trouble wrapping their hearts and souls around

0:23:47.920 --> 0:23:51.200
<v Speaker 9>this concept of organizing their life around work because they've

0:23:51.320 --> 0:23:53.960
<v Speaker 9>learned the hard way that work does not love you back. Okay,

0:23:54.000 --> 0:23:55.280
<v Speaker 9>you can work and work and work, and then you

0:23:55.280 --> 0:23:57.560
<v Speaker 9>can get fired or your job can evaporate. And so

0:23:57.560 --> 0:24:00.760
<v Speaker 9>people are like, yeah, here's the conundrum. Want achievement. Gen

0:24:00.840 --> 0:24:06.040
<v Speaker 9>Z wants achievement more than ever in recent years, the

0:24:06.160 --> 0:24:09.760
<v Speaker 9>data shows, but they want to work probably less than ever.

0:24:11.000 --> 0:24:14.159
<v Speaker 5>How about AI for the young folks, that's got to

0:24:14.200 --> 0:24:16.280
<v Speaker 5>be almost issue number one.

0:24:17.000 --> 0:24:19.240
<v Speaker 9>This is what's causing it. AI is making them more

0:24:19.240 --> 0:24:21.280
<v Speaker 9>ambitious because they think, okay, if all the entry level

0:24:21.359 --> 0:24:23.400
<v Speaker 9>jobs are going to go away. I'm going to fight

0:24:23.440 --> 0:24:25.800
<v Speaker 9>harder for them. I've got to get something. So I

0:24:25.840 --> 0:24:28.160
<v Speaker 9>think that the rise and ambition and achievement and wanting

0:24:28.200 --> 0:24:30.960
<v Speaker 9>to win is from the fact that AI is coming

0:24:30.960 --> 0:24:32.560
<v Speaker 9>and they can hear the hoof, you know, the hoof

0:24:32.720 --> 0:24:35.760
<v Speaker 9>beats going. But I think the desire to work and

0:24:35.880 --> 0:24:37.960
<v Speaker 9>the lack of desire to work is also from AI,

0:24:38.040 --> 0:24:41.160
<v Speaker 9>because they're like, what's the point the contract is broken.

0:24:41.400 --> 0:24:43.840
<v Speaker 9>I can throw myself into work and I'm still going

0:24:43.880 --> 0:24:46.880
<v Speaker 9>to be outsourced at some point. And so look, they're

0:24:46.920 --> 0:24:48.920
<v Speaker 9>dealing with this, they're right on the front lines of it,

0:24:49.040 --> 0:24:52.240
<v Speaker 9>and I know, please don't jump down my throat, but

0:24:52.280 --> 0:24:52.880
<v Speaker 9>I feel for them.

0:24:52.880 --> 0:24:53.119
<v Speaker 1>I do.

0:24:54.560 --> 0:24:59.480
<v Speaker 5>How's that manifesting itself in how they study in school,

0:24:59.480 --> 0:25:02.160
<v Speaker 5>what they study in school, how they pursued jobs, how

0:25:02.160 --> 0:25:04.680
<v Speaker 5>they think about a higher education. Well, there's a graduate degree,

0:25:04.680 --> 0:25:06.119
<v Speaker 5>a professional degree.

0:25:06.200 --> 0:25:07.800
<v Speaker 9>Well, I think two things are going on at once.

0:25:08.040 --> 0:25:11.800
<v Speaker 9>There's a They're depending heavily on AI. In the classroom.

0:25:11.840 --> 0:25:13.359
<v Speaker 9>I had to go back to blue books last semester.

0:25:13.440 --> 0:25:15.720
<v Speaker 9>It was just like the old the days. And then

0:25:15.760 --> 0:25:17.320
<v Speaker 9>I saw their handwriting and I was like, Okay, I've

0:25:17.320 --> 0:25:19.760
<v Speaker 9>got to have another solution for this. I think that

0:25:19.800 --> 0:25:21.840
<v Speaker 9>they're very confused about what to study. I think the

0:25:21.880 --> 0:25:24.160
<v Speaker 9>school's education. I mean, I'm not saying anything new. Need

0:25:24.200 --> 0:25:26.119
<v Speaker 9>to change what they're teaching. They've got to change what

0:25:26.160 --> 0:25:29.040
<v Speaker 9>they're teaching because it's really you know, professors are called

0:25:29.040 --> 0:25:31.240
<v Speaker 9>flat footed about what we teach. I teach a class

0:25:31.240 --> 0:25:33.640
<v Speaker 9>called Becoming You, so it's kind of evergreen every semester.

0:25:33.720 --> 0:25:36.320
<v Speaker 9>But even in teaching management, I now have to which

0:25:36.320 --> 0:25:38.359
<v Speaker 9>I also teach, I have to think about what they're

0:25:38.359 --> 0:25:40.960
<v Speaker 9>actually learning. And I'm actually focusing more and more on

0:25:41.000 --> 0:25:43.960
<v Speaker 9>people skills, you know, and which we're considered soft and

0:25:44.000 --> 0:25:46.440
<v Speaker 9>sort of like, don't waste our time with the people's skills. Now,

0:25:46.480 --> 0:25:48.439
<v Speaker 9>I'm going right back to that same cool and the

0:25:48.480 --> 0:25:49.160
<v Speaker 9>machine will do.

0:25:50.640 --> 0:25:50.880
<v Speaker 2>People.

0:25:51.440 --> 0:25:53.000
<v Speaker 9>Why why why?

0:25:53.040 --> 0:25:55.040
<v Speaker 2>I see so many kids that are train wrecks, and

0:25:55.040 --> 0:25:58.120
<v Speaker 2>by kids, I mean people into their thirties where they're

0:25:58.160 --> 0:25:59.840
<v Speaker 2>doing things that are complete career.

0:26:00.920 --> 0:26:03.159
<v Speaker 9>Look Tom, I total I called like and what a

0:26:03.280 --> 0:26:05.880
<v Speaker 9>CAUSEES is a whole demographic of sad parents. I think

0:26:05.880 --> 0:26:08.080
<v Speaker 9>there's like a gigantic co board of sadness.

0:26:08.080 --> 0:26:14.440
<v Speaker 2>No joining us now, Alexis I got.

0:26:14.320 --> 0:26:17.280
<v Speaker 10>Three gen z Yes, Okay, So I definitely hear what

0:26:17.320 --> 0:26:19.520
<v Speaker 10>you're saying, and you know, is it that they are

0:26:19.840 --> 0:26:22.920
<v Speaker 10>just you know, they feel like the social contract has

0:26:22.920 --> 0:26:24.880
<v Speaker 10>been broken, right, I mean even even when it comes

0:26:24.960 --> 0:26:27.600
<v Speaker 10>to like being able to afford a home, right, they're

0:26:27.640 --> 0:26:28.120
<v Speaker 10>just like, you know.

0:26:28.320 --> 0:26:29.840
<v Speaker 9>They think they'll never afford a home. They think I

0:26:29.840 --> 0:26:31.840
<v Speaker 9>could work my rear end off and I'll never have

0:26:31.880 --> 0:26:34.000
<v Speaker 9>a house. You had that promise, I don't have it.

0:26:34.040 --> 0:26:38.119
<v Speaker 2>Susie Welch with a professor of management practice at NYU

0:26:38.119 --> 0:26:39.880
<v Speaker 2>and my essay of the Year last year, and she's

0:26:39.880 --> 0:26:43.200
<v Speaker 2>just on fire dealing with gen Z. I got eight

0:26:43.200 --> 0:26:45.439
<v Speaker 2>ways ago, Paul, get a question in here because I

0:26:45.480 --> 0:26:47.520
<v Speaker 2>got eight ways to go with Professor Welch.

0:26:47.760 --> 0:26:51.160
<v Speaker 5>Well, I mean the issues I have four kids twenty

0:26:51.160 --> 0:26:51.800
<v Speaker 5>two to thirty.

0:26:51.960 --> 0:26:56.560
<v Speaker 2>Wait stop stop, guys, Sweeney as the perfect family off

0:26:56.680 --> 0:27:00.359
<v Speaker 2>four from total head screwed on. They're working, totally deployed,

0:27:00.520 --> 0:27:01.200
<v Speaker 2>working hard.

0:27:01.320 --> 0:27:06.760
<v Speaker 5>Go So what's the message to them, Like, what do

0:27:06.760 --> 0:27:08.880
<v Speaker 5>you think is resonating with the folks that you talk

0:27:08.960 --> 0:27:10.560
<v Speaker 5>to that maybe you're facing some of these issues.

0:27:10.600 --> 0:27:12.240
<v Speaker 9>Well, I'm face this issue every day in the classroom

0:27:12.240 --> 0:27:14.199
<v Speaker 9>because I'm helping them with career formation, and so I

0:27:14.240 --> 0:27:16.280
<v Speaker 9>say something that they don't want to hear. Okay, they

0:27:16.280 --> 0:27:18.639
<v Speaker 9>want to be told go learn this skill, that skill,

0:27:18.840 --> 0:27:20.760
<v Speaker 9>major in this and go get that job. That's what

0:27:20.800 --> 0:27:22.959
<v Speaker 9>they want to hear. And I say, I'm sorry, I'm

0:27:23.000 --> 0:27:26.119
<v Speaker 9>going to see something much harder. Sit down, and what

0:27:26.200 --> 0:27:28.600
<v Speaker 9>I say is the world is changing so much. We

0:27:28.640 --> 0:27:30.040
<v Speaker 9>don't know what's going to happen in six months. We

0:27:30.080 --> 0:27:31.919
<v Speaker 9>don't know where industry is going. We don't know anything.

0:27:32.040 --> 0:27:33.760
<v Speaker 9>Here's something you really have to know. You have to

0:27:33.760 --> 0:27:36.960
<v Speaker 9>know yourself. What are your aptitudes? Not your skills, because

0:27:36.960 --> 0:27:38.680
<v Speaker 9>your skills are going to change. What are your aptitudes?

0:27:38.720 --> 0:27:40.800
<v Speaker 9>Are you a generalist or a specialist? Are you a

0:27:40.840 --> 0:27:43.239
<v Speaker 9>future focuser, prison and focuser. You've got to know your

0:27:43.359 --> 0:27:46.159
<v Speaker 9>values like cold, you can't list off the virtues that

0:27:46.200 --> 0:27:49.119
<v Speaker 9>everybody has. Oh, I believe in honesty, fairness, everybody does.

0:27:49.160 --> 0:27:50.320
<v Speaker 9>I don't want to know you If you don't, what

0:27:50.359 --> 0:27:52.400
<v Speaker 9>are your actual values? What are you willing to trade off?

0:27:52.560 --> 0:27:54.240
<v Speaker 9>And then you have to know. I mean, here's the

0:27:54.280 --> 0:27:56.840
<v Speaker 9>thing they hate hearing. They hate hearing is like you

0:27:56.960 --> 0:27:59.639
<v Speaker 9>have to understand all the conveyor belts are broken. You

0:27:59.680 --> 0:28:02.960
<v Speaker 9>cannot march directly into banking or consulting the way you

0:28:03.040 --> 0:28:05.840
<v Speaker 9>used to guess what open up that aperture. There's twelve

0:28:05.840 --> 0:28:08.560
<v Speaker 9>mega trends. There's tons of other industries you're not thinking about.

0:28:08.760 --> 0:28:11.240
<v Speaker 9>Not true, far the fastest growing your stream in the world.

0:28:14.600 --> 0:28:17.160
<v Speaker 2>Let me let me take two texts. Here Robert from Bracton,

0:28:17.440 --> 0:28:20.000
<v Speaker 2>thank you for listening. Ninety to nine FM up in Bracton.

0:28:20.280 --> 0:28:23.760
<v Speaker 2>Robert for Brackton says the problem is because of YouTube

0:28:23.800 --> 0:28:26.280
<v Speaker 2>and the influencers. They all think they're going to start

0:28:26.320 --> 0:28:29.239
<v Speaker 2>at one hundred and fifty thousand a year. Where did

0:28:29.320 --> 0:28:29.960
<v Speaker 2>this come from?

0:28:30.119 --> 0:28:31.520
<v Speaker 9>I have no idea, but it's true.

0:28:31.800 --> 0:28:32.280
<v Speaker 8>It's true.

0:28:32.600 --> 0:28:35.399
<v Speaker 9>People who are literally not a single skill, not a

0:28:35.480 --> 0:28:37.800
<v Speaker 9>single day's experience, coming in about the six figure in

0:28:37.800 --> 0:28:39.800
<v Speaker 9>their head. I think it must be connected to what

0:28:39.840 --> 0:28:42.000
<v Speaker 9>their parents paid for college, and they think I gotta

0:28:42.040 --> 0:28:45.160
<v Speaker 9>start getting the money train going. And it's disconnected from reality,

0:28:45.240 --> 0:28:46.680
<v Speaker 9>completely disconnected from reality.

0:28:46.760 --> 0:28:49.080
<v Speaker 2>Let's go to a reality. Can we start. You're out

0:28:49.120 --> 0:28:53.719
<v Speaker 2>of your Urbana, Illinois. You're a chemical engineer. You're popping

0:28:53.920 --> 0:28:56.600
<v Speaker 2>ten thousand and five at their dollars a few years

0:28:56.640 --> 0:28:59.960
<v Speaker 2>ago with one thousand dollars raise. If you're Lucky General

0:29:00.160 --> 0:29:05.920
<v Speaker 2>Electric in Pittsfield, Massachusetts, and Jack Welch said, I don't

0:29:06.080 --> 0:29:09.320
<v Speaker 2>like this, and he literally quit ge before the guy

0:29:09.440 --> 0:29:10.840
<v Speaker 2>above him saved him.

0:29:10.880 --> 0:29:13.560
<v Speaker 9>Me h, let's talk about why he quit. He quit

0:29:13.600 --> 0:29:16.560
<v Speaker 9>because everybody got the same bonus at Christmas, and he

0:29:16.720 --> 0:29:19.000
<v Speaker 9>hated the fact that he was the best performer, which

0:29:19.040 --> 0:29:20.800
<v Speaker 9>he was, and he got the same bonus as the

0:29:20.840 --> 0:29:23.640
<v Speaker 9>worst performer because he was a big guy in meritocracy. Okay,

0:29:23.920 --> 0:29:27.960
<v Speaker 9>So like this cold concept of being paid more or

0:29:28.040 --> 0:29:32.680
<v Speaker 9>less run straight into the sense of equity today, Jack Welch, who.

0:29:32.840 --> 0:29:35.560
<v Speaker 2>You full disclosure, folks, I'm qus me bias at my father.

0:29:35.960 --> 0:29:42.480
<v Speaker 2>My father would look at schonnecting go Tom. Anyways, I'm

0:29:42.520 --> 0:29:46.640
<v Speaker 2>biased Susie too, frankly your former husband. But the bottom

0:29:46.720 --> 0:29:50.720
<v Speaker 2>line is Paul Sweeney and I what was your first job, Paul, oh,

0:29:51.560 --> 0:29:56.400
<v Speaker 2>washing dishes, ready begging groceries at Wegmans. That was my

0:29:56.640 --> 0:29:57.400
<v Speaker 2>first choice.

0:29:57.480 --> 0:30:01.680
<v Speaker 9>I stopped milk at Cumberland Farms. Okay, man, I know

0:30:01.800 --> 0:30:02.040
<v Speaker 9>I did.

0:30:02.080 --> 0:30:02.720
<v Speaker 7>I was so proud.

0:30:02.800 --> 0:30:05.600
<v Speaker 9>I was so proud I got fired. I got fired

0:30:05.640 --> 0:30:07.480
<v Speaker 9>because you wouldn't that.

0:30:07.720 --> 0:30:09.560
<v Speaker 4>I don't lay one day. I'm still kick it over it.

0:30:09.680 --> 0:30:12.160
<v Speaker 10>I'm still ashamed of yourself. I was a cash here

0:30:12.200 --> 0:30:15.720
<v Speaker 10>at Pioneer Supermarket. There's like one in Manhattan left.

0:30:16.080 --> 0:30:17.640
<v Speaker 4>That's how I started out, not over so.

0:30:17.800 --> 0:30:19.880
<v Speaker 5>I mean, you know, my thirty year old twins, their

0:30:19.920 --> 0:30:22.640
<v Speaker 5>first memory was nine to eleven. They went through the

0:30:22.680 --> 0:30:26.320
<v Speaker 5>Great Financial Crisis, then the pandemic interrupted. They're education.

0:30:27.040 --> 0:30:27.840
<v Speaker 2>I think back.

0:30:27.880 --> 0:30:29.680
<v Speaker 4>I'm like, man, you guys have had a kind of

0:30:29.760 --> 0:30:31.440
<v Speaker 4>rough and I don't like to give them. I don't

0:30:31.480 --> 0:30:33.480
<v Speaker 4>like to give them any I agree with them.

0:30:33.480 --> 0:30:36.000
<v Speaker 9>No, no, get in line, Get in line. I think

0:30:36.040 --> 0:30:37.360
<v Speaker 9>that I hear this all the time. You know what

0:30:37.440 --> 0:30:39.320
<v Speaker 9>I hear often from my students is that not for

0:30:39.440 --> 0:30:41.040
<v Speaker 9>my students, but I hear from people who are gen

0:30:41.160 --> 0:30:44.640
<v Speaker 9>z generly not my students are excellent, but they They'll say,

0:30:44.680 --> 0:30:47.360
<v Speaker 9>I had a tough childhood, and I'm like, let's compare.

0:30:47.640 --> 0:30:48.160
<v Speaker 2>You know what I mean.

0:30:48.240 --> 0:30:50.840
<v Speaker 9>It's like, this is there's always some there's always some

0:30:51.040 --> 0:30:54.160
<v Speaker 9>excumes because it's this. But I want them to take

0:30:54.240 --> 0:30:56.080
<v Speaker 9>charge of their lives and get to know themselves very

0:30:56.200 --> 0:30:59.560
<v Speaker 9>very well. With the sunglasses with the rose colored glasses off.

0:31:00.160 --> 0:31:02.480
<v Speaker 2>That drives me nuts. And I've been so advantaged with

0:31:02.600 --> 0:31:06.560
<v Speaker 2>the interim program here at Bloomberg have really smart because

0:31:06.760 --> 0:31:08.760
<v Speaker 2>my record is they have four people that work for

0:31:08.880 --> 0:31:11.520
<v Speaker 2>me in the press conference at the FED press conference.

0:31:11.720 --> 0:31:15.720
<v Speaker 2>That's cool, but it drives me nuts when somebody in

0:31:15.800 --> 0:31:20.400
<v Speaker 2>the gen z who says they're so smart, and I'm like, no,

0:31:20.800 --> 0:31:24.000
<v Speaker 2>actually they're not. How do you explain to a lot

0:31:24.040 --> 0:31:27.560
<v Speaker 2>of these kids, as my mother would say, slid through,

0:31:28.480 --> 0:31:31.680
<v Speaker 2>that youve got to get smarter fast. Your math isn't there.

0:31:32.400 --> 0:31:33.800
<v Speaker 2>You didn't do what.

0:31:34.000 --> 0:31:36.760
<v Speaker 9>I don't know what smartest anymore. I don't because it's

0:31:36.760 --> 0:31:39.000
<v Speaker 9>because the machine can do everything. And so look, I

0:31:39.520 --> 0:31:42.000
<v Speaker 9>teach my students to understand what their aptitudes are. And

0:31:42.080 --> 0:31:44.360
<v Speaker 9>one of the questions I have is do aptitudes matter anymore?

0:31:44.600 --> 0:31:47.000
<v Speaker 9>Because if you don't have an apportueney, you're not a brainstormer.

0:31:47.040 --> 0:31:49.880
<v Speaker 9>That's an aptitude, Okay, how quickly your brain shoots that ideas?

0:31:49.920 --> 0:31:52.080
<v Speaker 9>That's actually a studied identified at what.

0:31:52.200 --> 0:31:54.080
<v Speaker 2>Percentage of machine can do it?

0:31:54.160 --> 0:31:54.480
<v Speaker 4>Okay?

0:31:54.600 --> 0:31:57.719
<v Speaker 2>So what percentage of your class at n YU are

0:31:57.800 --> 0:32:00.960
<v Speaker 2>the brainstormers you call them that I grew up with.

0:32:01.480 --> 0:32:05.160
<v Speaker 9>So okay, so brainstorming is sort of thirty thirty percent

0:32:05.200 --> 0:32:07.880
<v Speaker 9>of the population has very quick idea generation thirty percent

0:32:07.960 --> 0:32:10.320
<v Speaker 9>or idea contributors. They sort of lay one good idea

0:32:10.320 --> 0:32:12.160
<v Speaker 9>a year and then most people are in. You know,

0:32:12.240 --> 0:32:15.960
<v Speaker 9>there's sort of forty some thirty forty yes, but you know,

0:32:16.080 --> 0:32:18.840
<v Speaker 9>actually the admissions department looks for those those kids. But

0:32:19.240 --> 0:32:22.800
<v Speaker 9>my question is with AI, what difference does it make

0:32:22.800 --> 0:32:24.880
<v Speaker 9>if you're a natural brainstormer or not. What difference does

0:32:24.920 --> 0:32:26.960
<v Speaker 9>it make you can just go to the machine and say, hey,

0:32:27.040 --> 0:32:30.520
<v Speaker 9>I need five ideas in ten minutes. What they think?

0:32:30.600 --> 0:32:31.960
<v Speaker 9>Then why why do not agree?

0:32:32.520 --> 0:32:35.520
<v Speaker 2>I think you've got to have an underlying set of

0:32:35.640 --> 0:32:38.520
<v Speaker 2>critical thinking skills and then AI helps you.

0:32:38.920 --> 0:32:41.920
<v Speaker 9>I hope that's true, But I mean AI can do

0:32:42.040 --> 0:32:44.560
<v Speaker 9>amazing things, and I think actually, one thing, it's becoming

0:32:44.640 --> 0:32:46.880
<v Speaker 9>a crutch so quickly. I mean, this is a real

0:32:46.960 --> 0:32:48.920
<v Speaker 9>challenge for us as professors, just like, well, what do

0:32:49.040 --> 0:32:49.920
<v Speaker 9>we teach them now?

0:32:50.400 --> 0:32:53.640
<v Speaker 10>But you know, there was a survey today about recruiters saying, hey, listen,

0:32:53.800 --> 0:32:55.880
<v Speaker 10>I know when your resume has been written by AI.

0:32:56.280 --> 0:32:58.200
<v Speaker 10>So now they're going back to old fashioned ways. They're

0:32:58.240 --> 0:33:02.080
<v Speaker 10>testing people before they at the job. They're looking at referrals.

0:33:02.640 --> 0:33:05.880
<v Speaker 10>They are talking about you know, who knows this person

0:33:06.200 --> 0:33:08.360
<v Speaker 10>best and are they really going to fit with the

0:33:08.400 --> 0:33:09.360
<v Speaker 10>culture of my company?

0:33:09.440 --> 0:33:09.520
<v Speaker 5>Right?

0:33:09.600 --> 0:33:11.560
<v Speaker 9>I know, well, that's actually very interesting that students come

0:33:11.600 --> 0:33:13.640
<v Speaker 9>in or young people come in for interviews. Now am

0:33:13.680 --> 0:33:16.640
<v Speaker 9>I caring a huge amount about culture? And I remember

0:33:16.680 --> 0:33:19.120
<v Speaker 9>when I started out as like beggars can't be choosers.

0:33:19.160 --> 0:33:20.560
<v Speaker 9>You just went in and you got the best job

0:33:20.600 --> 0:33:22.040
<v Speaker 9>you could. You were sort of like Now they come

0:33:22.080 --> 0:33:23.720
<v Speaker 9>in and they kind of quiz you about culture. I

0:33:23.760 --> 0:33:26.080
<v Speaker 9>think that they've been trained that in college is to

0:33:26.200 --> 0:33:27.640
<v Speaker 9>really ask, you know, am I going to fit with

0:33:27.720 --> 0:33:30.960
<v Speaker 9>this culture? And I guess back in the day within

0:33:31.040 --> 0:33:33.680
<v Speaker 9>ourselves into the culture of the organization.

0:33:34.480 --> 0:33:36.760
<v Speaker 5>So I mean, I don't know how in your business

0:33:36.800 --> 0:33:39.240
<v Speaker 5>of education, Yeah, I don't know how you guys do

0:33:39.360 --> 0:33:40.040
<v Speaker 5>it today.

0:33:40.040 --> 0:33:42.480
<v Speaker 2>From the first grade through university?

0:33:43.440 --> 0:33:45.160
<v Speaker 5>How do you deal with AI and what?

0:33:45.360 --> 0:33:48.360
<v Speaker 9>Yeah, we've had Look, it's been we've all been learning

0:33:48.400 --> 0:33:51.000
<v Speaker 9>on our feet. So I think I remember the first

0:33:51.040 --> 0:33:52.640
<v Speaker 9>time it was maybe two three years ago and I

0:33:52.800 --> 0:33:55.160
<v Speaker 9>asked a question in a quiz and I was I

0:33:55.240 --> 0:33:58.080
<v Speaker 9>had eighty students and like seventy eight of the answers

0:33:58.120 --> 0:34:00.440
<v Speaker 9>were exactly the same day. Literally cut has to put

0:34:00.480 --> 0:34:03.040
<v Speaker 9>the question into AI and so I came into the

0:34:03.040 --> 0:34:04.720
<v Speaker 9>classroom and I said, hey, why don't you help me

0:34:04.760 --> 0:34:06.040
<v Speaker 9>figure out what you would do? I put up the

0:34:06.120 --> 0:34:08.439
<v Speaker 9>question and then I clicked through after one after another

0:34:08.480 --> 0:34:10.160
<v Speaker 9>of every single answer being the same, and I said,

0:34:10.239 --> 0:34:11.680
<v Speaker 9>what would you do if you were me? They were

0:34:11.719 --> 0:34:14.040
<v Speaker 9>in dead silence. And now I've just started getting quzzes

0:34:14.040 --> 0:34:16.040
<v Speaker 9>in the classroom. I give a lot of oral quizzes.

0:34:16.280 --> 0:34:18.640
<v Speaker 9>I think we're scrambling to figure it out. We're not

0:34:18.760 --> 0:34:20.400
<v Speaker 9>sure in education you want to even teach in business

0:34:20.400 --> 0:34:21.000
<v Speaker 9>school anymore.

0:34:21.120 --> 0:34:24.880
<v Speaker 2>I got one final question with immense respect for all

0:34:25.000 --> 0:34:27.320
<v Speaker 2>you've done and with Jack and Susie Welch, it was

0:34:27.960 --> 0:34:32.680
<v Speaker 2>just an incredible formative time of not striving, but just

0:34:33.000 --> 0:34:37.439
<v Speaker 2>belief in the American corporate system. How do we rationalize

0:34:37.480 --> 0:34:40.800
<v Speaker 2>one hundred thousand a year to go to college?

0:34:40.920 --> 0:34:41.040
<v Speaker 5>Oh?

0:34:41.200 --> 0:34:41.480
<v Speaker 8>I don't.

0:34:41.560 --> 0:34:45.879
<v Speaker 2>I mean Alexis had a thing last week, or maybe

0:34:45.920 --> 0:34:48.760
<v Speaker 2>it was Lisa and Bloomberg money on ninety thousand dollars,

0:34:49.200 --> 0:34:51.680
<v Speaker 2>Sorority rushes the fancy people.

0:34:51.760 --> 0:34:54.040
<v Speaker 9>Susie is just out of comm I don't know how

0:34:54.080 --> 0:34:56.120
<v Speaker 9>you rationalize it. And this is why some people are

0:34:56.200 --> 0:34:57.879
<v Speaker 9>opting out of college. And I think this is why

0:34:58.320 --> 0:34:59.680
<v Speaker 9>you know, people are beginning to push back and say

0:34:59.719 --> 0:35:01.640
<v Speaker 9>what do you getting out of it? But I don't

0:35:01.719 --> 0:35:04.160
<v Speaker 9>know how you rationalize it. I don't know which way

0:35:04.239 --> 0:35:06.560
<v Speaker 9>it's going. I think every time I sort of poke

0:35:06.600 --> 0:35:07.920
<v Speaker 9>around and say, like, you know, what are we going

0:35:07.960 --> 0:35:09.400
<v Speaker 9>to be doing, what's the campus going to look like

0:35:09.440 --> 0:35:10.880
<v Speaker 9>in five years? What are we going to be teaching?

0:35:10.960 --> 0:35:13.120
<v Speaker 9>Every Look, we're all in kind of a throll. This

0:35:13.280 --> 0:35:14.880
<v Speaker 9>is like a big bomb that's been dropped on what

0:35:15.040 --> 0:35:17.640
<v Speaker 9>education has done. And education has been around doing the

0:35:17.800 --> 0:35:20.480
<v Speaker 9>exact same thing for a couple hundred years. It is

0:35:20.560 --> 0:35:22.840
<v Speaker 9>going through in massive upheaval. I have no answers for you.

0:35:22.920 --> 0:35:25.880
<v Speaker 5>I'm in there having sat on boards before. You have

0:35:26.000 --> 0:35:29.040
<v Speaker 5>to cut the cost base, not five percent, not ten percent,

0:35:29.360 --> 0:35:33.840
<v Speaker 5>thirty forty fifty percent at cost base, fixed cost, look around.

0:35:34.120 --> 0:35:35.920
<v Speaker 9>Maybe there can be two years of work before you

0:35:36.000 --> 0:35:37.560
<v Speaker 9>go to college or something like that. But I just

0:35:37.560 --> 0:35:39.040
<v Speaker 9>still I want to keep coming back to this thing

0:35:39.120 --> 0:35:40.960
<v Speaker 9>is you got to know yourself. Kids come out and

0:35:41.040 --> 0:35:42.920
<v Speaker 9>they have absolutely no idea what they're good at. That's

0:35:42.960 --> 0:35:43.320
<v Speaker 9>a problem.

0:35:43.440 --> 0:35:44.759
<v Speaker 2>And your free time are you going to put a

0:35:44.800 --> 0:35:45.879
<v Speaker 2>book together? Yeah?

0:35:46.080 --> 0:35:48.000
<v Speaker 9>I got one coming out in March, right, you'll believe

0:35:48.040 --> 0:35:50.479
<v Speaker 9>me again. I'll be around banging on your door in March.

0:35:50.800 --> 0:35:54.800
<v Speaker 2>Okay, she'll be flagging it. You will be Professor Welch,

0:35:55.000 --> 0:35:57.279
<v Speaker 2>thank you so much my essay of the year last year.

0:35:57.320 --> 0:36:01.000
<v Speaker 2>I'll put it out again on Twitter and LinkedIn Professor

0:36:01.120 --> 0:36:03.240
<v Speaker 2>Management Practice at NY.

0:36:04.760 --> 0:36:09.560
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:36:09.719 --> 0:36:13.960
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0:36:14.120 --> 0:36:17.560
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