WEBVTT - Bloomberg Surveillance: Tech in Focus and Jobs Report

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<v Speaker 1>This is the Bloomberg Surveillance Podcast. I'm Tom Keene along

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<v Speaker 1>with Paul Sweeney. Join us each day for insight from

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<v Speaker 1>the best in economics, finance, investment, and international relations. You

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<v Speaker 1>can also watch the show live on YouTube. Visit the

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<v Speaker 1>Bloomberg Podcast channel on YouTube to see the show weekday

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<v Speaker 1>mornings from seven to ten am Eastern from our global

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<v Speaker 1>headquarters in New York City. Subscribe to the podcast on Apple, Spotify,

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<v Speaker 1>or anywhere else you listen, and always on Bloomberg Radio,

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<v Speaker 1>the Bloomberg Terminal, and the Bloomberg Business App. Cardinal rule

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<v Speaker 1>number one is when you're in an equity business, listen

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<v Speaker 1>to the bond guys. The bond guys never listen to

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<v Speaker 1>the equity guys. But you know, if you're like a

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<v Speaker 1>gene monster, you really pay attention to what the debt

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<v Speaker 1>side looks like as you look at your area. Gene

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<v Speaker 1>Monsters area for decades Biper Jeffrey and now on his

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<v Speaker 1>own gen Monster really looking at technology gene Robert Schiffman

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<v Speaker 1>of Bloomberg Intelligence said, look, Microsoft's a tripaa. Apple's just

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<v Speaker 1>below that. Microsoft could do twenty billion debt offering right

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<v Speaker 1>now and not you know, affect anything at all. Do

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<v Speaker 1>we have any understanding of their free cash flow? And

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<v Speaker 1>Gene one idea, you're on their free cash flow. Apple's

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<v Speaker 1>retired thirty nine percent of their shares in the last decade.

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<v Speaker 1>Do we understand their profit?

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<v Speaker 2>I don't think so, Tom.

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<v Speaker 3>When you think of the free cash hold with Apple,

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<v Speaker 3>we're talking fifty to sixty billion dollars per year.

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<v Speaker 2>That's free cash flow.

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<v Speaker 3>When they talk about their current cash position, call it

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<v Speaker 3>roughly seventy five billion. I mean they've continued to try

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<v Speaker 3>to whittle that down return that to investors. Welcome meta

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<v Speaker 3>to that conversation regarding returning capital. But Apple, is you

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<v Speaker 3>in that it is? I mean, it's it's mind boggling.

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<v Speaker 3>If you look at the past year, revenue has basically

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<v Speaker 3>been down two and a half percent, but they've generated

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<v Speaker 3>called it sixty billion in free cash flow, and I

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<v Speaker 3>think it just speaks to the strength of their margins.

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<v Speaker 1>Paul I put this out last night in preparation for

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<v Speaker 1>Gene Monster that I'm just had it with the sophomoric

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<v Speaker 1>growthiness study of the media, and it's about the profit

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<v Speaker 1>and as Gene mentions, Paul Zuckerberg gets the twenty twenty

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<v Speaker 1>three trophy. The way he shifted Facebook to a profit

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<v Speaker 1>juggernaf is.

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<v Speaker 4>Jaw dropping, it really is, and the stock got rewarded

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<v Speaker 4>for it too, more than doubling here, Hey Gene, So

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<v Speaker 4>last night busy night for you and busy night for

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<v Speaker 4>tech investors. Apple, Amazon, Meta.

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<v Speaker 5>I want to start with.

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<v Speaker 4>Apple here because for me and I think for a

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<v Speaker 4>lot of investors, it's very much about China here, and

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<v Speaker 4>I'm not sure I heard anything from Coopertino last night

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<v Speaker 4>that makes me feel more comfortable about what's happening in China.

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<v Speaker 4>My concern is maybe the consumer's moving away from Western

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<v Speaker 4>products in general and maybe Apple in particular.

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<v Speaker 5>How do you think about China?

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<v Speaker 3>China hit the wall. It was down thirteen percent year

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<v Speaker 3>of year, is done two and a half percent year

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<v Speaker 3>year in this September quarter, so we saw that deceleration.

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<v Speaker 3>The macro has definitely impacted that. If you look at

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<v Speaker 3>broader Apple business, it was up ten percent in Europe,

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<v Speaker 3>fifteen percent in Japan two percent. So if you think

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<v Speaker 3>about what's going on at Apple, it really can be

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<v Speaker 3>zeroed into the weakness in China. China's twenty percent of

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<v Speaker 3>their business. And then the question comes to what does

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<v Speaker 3>China look like going forward, and I think the answer

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<v Speaker 3>is to continue to expect it to be down kind

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<v Speaker 3>of this ten to fifteen percent for the next few quarters.

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<v Speaker 3>There is the question is this just a macro issue

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<v Speaker 3>related to China or tier point, is there just a

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<v Speaker 3>structural shift away from Western products and Apple in particular.

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<v Speaker 3>And what we saw was some conflicting data. We saw

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<v Speaker 3>the China business being down like we talked about, but

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<v Speaker 3>we also saw that Apple in terms of its market share.

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<v Speaker 3>IDC reputable source said that Apple that the iPhone is

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<v Speaker 3>now the best selling smartphone in China for the first

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<v Speaker 3>time in the December quarter. And so I think the

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<v Speaker 3>answer is this is more about the macro. I do

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<v Speaker 3>want to put one other other one just slightly finer

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<v Speaker 3>point on this. There is a dynamic of what's going

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<v Speaker 3>on with the government and their commentary about buying Apple products.

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<v Speaker 2>Now, if you look at the number of government.

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<v Speaker 3>Employees, this basically can create about a three percent headwind

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<v Speaker 3>to China's business. It's not a formal policy to avoid

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<v Speaker 3>Apple products. It's been this informal kind of wink and nod,

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<v Speaker 3>But I think that that probably plays in all this too.

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<v Speaker 2>When you roll it all together.

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<v Speaker 3>I still think China's a big opportunity for Apple. India

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<v Speaker 3>is becoming a bigger opportunity too, and I think that

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<v Speaker 3>I think this storm will pass.

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<v Speaker 4>Yeah, and that's kind of I think the message we

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<v Speaker 4>heard from Tim Cook, I think he's probably taken a little.

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<v Speaker 5>Bit more of a longer view.

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<v Speaker 4>All right, let's switch to Meta. You mentioned that, and

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<v Speaker 4>just what a story here, I mean, and you know,

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<v Speaker 4>Zuckerberg gets a lot of criticism, and he obviously was

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<v Speaker 4>on the hill again recently, but boy did they turn

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<v Speaker 4>this company around in the last eighteen months. It was,

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<v Speaker 4>you know, since its inception was a top line growth story.

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<v Speaker 4>And then he wisely wisely focused on costs and profitability,

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<v Speaker 4>and boy, that's paid off for the company.

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<v Speaker 5>What's your view there'll met.

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<v Speaker 3>Him The cost is' that's nice.

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<v Speaker 2>Absolutely has paid off.

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<v Speaker 3>I think there's a bigger dynamic plane out here which

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<v Speaker 3>is just related to their demand. And they had their

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<v Speaker 3>revenue was up twenty five percent year over year in

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<v Speaker 3>the December quarter. They guided you got to go to

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<v Speaker 3>the high end of their guidance range because they're probably

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<v Speaker 3>going to exceed. That would imply an acceleration to thirty percent.

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<v Speaker 3>Their price per AD was up two percent year over year.

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<v Speaker 3>A year ago, their price per AD was two percent.

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<v Speaker 3>So that's outside of the whole expense control. The AD

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<v Speaker 3>market is better. But there's something The bigger thing going

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<v Speaker 3>on is this is that their products people want. I mean,

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<v Speaker 3>that's the maybe optimistic way to say it. The more

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<v Speaker 3>skeptical way to say it is their addictive deep Water

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<v Speaker 3>does own meta. This is something that I struggle with,

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<v Speaker 3>but we saw it in the numbers in the engagement.

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<v Speaker 3>It's playing through to the revenue. One just other quick

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<v Speaker 3>thought on the engagement number here, they're da used.

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<v Speaker 2>This is a metric.

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<v Speaker 3>They're no longer going to give daily active users. But

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<v Speaker 3>that was two point one billion for Facebook. That was

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<v Speaker 3>up six percent year over year. It's an acceleration over

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<v Speaker 3>the past few quarters. Remarkable testimony to how people say

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<v Speaker 3>they don't want social but they spend all their time.

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<v Speaker 6>Yeah.

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<v Speaker 1>Well, the daily average use of Instagram and the Keen

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<v Speaker 1>household is in calcule. You can't do that number. We

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<v Speaker 1>have this gene monster for this entire half hour commercial

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<v Speaker 1>freees with deep Water Asset Management gene. Here's the real world.

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<v Speaker 1>It's owned by portfolios x up one percent right now,

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<v Speaker 1>and then we're gonna pick on our good friend Will

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<v Speaker 1>dan Off up in Boston. He's been doing this for

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<v Speaker 1>a few years at a shop called Fidelity. It's as

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<v Speaker 1>large as holding. It's grown out where Meta Facebook is

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<v Speaker 1>twelve point x percent of Will Danof's contra fund, but

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<v Speaker 1>he's probably under owned it as well. Just the share

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<v Speaker 1>price today moves Contrafund two percent off the leap in Meta.

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<v Speaker 1>Are these stocks under owned by institutional Wall Street?

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<v Speaker 2>I think Meta is.

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<v Speaker 3>I think there's still some controversy around just what is

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<v Speaker 3>ultimately you know, what does their advertising business look like.

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<v Speaker 3>I think there's concern about regulation related to it. If

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<v Speaker 3>you look at the multiple relative to the other big

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<v Speaker 3>tech companies, it's still trades at a discount, so it's

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<v Speaker 3>going to be I bet the earnings go up. I'm

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<v Speaker 3>more than twenty percent today, the stock up eighteen percent

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<v Speaker 3>pre market.

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<v Speaker 2>I bet earnings go up.

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<v Speaker 3>So I think the multiple probably is actually surprising, and

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<v Speaker 3>to stay in that low twenty range where you look

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<v Speaker 3>at the rest of big tech kind of loosely in

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<v Speaker 3>the low thirty range, and so based on that, I

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<v Speaker 3>don't think this is over owned, and I think that

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<v Speaker 3>there's again there's a room to go. I think this

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<v Speaker 3>should trade in line with the rest of larger tech.

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<v Speaker 1>Okay, so they're three trillion a guy an uber bowl

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<v Speaker 1>like Dana, iives is what Paul Ford four trillion added up?

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<v Speaker 1>Geene monster in someday these four stocks, the Magnificent four whatever, Nvidia,

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<v Speaker 1>I'm not there yet. I know Gene is. I'm not

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<v Speaker 1>there yet, but Geane they're going to have an all

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<v Speaker 1>in value of say fifteen trillion dollars? Are they like

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<v Speaker 1>the Rockefellers standard oil eyed to tarble of one hundred

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<v Speaker 1>and twenty years ago, where there's going to be a

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<v Speaker 1>primal cry there too big? Are we getting there quickly?

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<v Speaker 3>I think we were there three years ago. And I

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<v Speaker 3>think that you know, this is lessons learned from the

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<v Speaker 3>past here just about can things keep going about bubbles?

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<v Speaker 3>There was everything bubble a couple years ago. See what

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<v Speaker 3>happened two thousand. So I'm skeptical. I want to be

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<v Speaker 3>just cautious, like can this keep going? But just the

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<v Speaker 3>case that I think these will continue to get going.

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<v Speaker 3>It is as simple as artificial intelligence. I think that

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<v Speaker 3>this is something that now Apple has stepped into the game.

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<v Speaker 3>That is is much of the rancor that goes on

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<v Speaker 3>Capitol Hill related to large cap tech. I think lawmakers

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<v Speaker 3>understand that these companies having strong domestic companies that are

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<v Speaker 3>building AI. I think they understand the importance of that

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<v Speaker 3>from a national security standpoint, and so I think that

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<v Speaker 3>they'll be always talk of regulation, but I think these

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<v Speaker 3>companies will continue to get bigger.

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<v Speaker 1>Are you watching unc Duke this weekend with Vision Pro?

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<v Speaker 5>Now I'm gonna go old school.

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<v Speaker 1>You're gonna go old school? Yeah?

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<v Speaker 5>I can't, but watch?

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<v Speaker 1>What would you want? I at least help here? What

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<v Speaker 1>would you when I use vision Pro for I?

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<v Speaker 5>I don't know. Well, that's kind of where I want

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<v Speaker 5>to go with the gior Gene. Where are we?

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<v Speaker 4>Where is Mark Zuckerberg these days when you speak to him,

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<v Speaker 4>when you hear his commentary with the metaverse that was

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<v Speaker 4>at best at distraction for this company and at worst

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<v Speaker 4>maybe a real suckhole in terms of a capital investment.

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<v Speaker 5>Where are we with that?

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<v Speaker 3>I hope we're wrapping it up, but I think the

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<v Speaker 3>reality is that they're doubling down. And again mentioned we're

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<v Speaker 3>investors of the meta We wish they would essentially pair

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<v Speaker 3>back what they're doing there.

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<v Speaker 2>The simple reason is.

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<v Speaker 3>They had a billion in revenue first quarter of a

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<v Speaker 3>billion in revenue, and Reality Labs they lost four billion.

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<v Speaker 3>They said that the amount of losses annually are going

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<v Speaker 3>to increase. This is going to be fifteen billion dollar plus.

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<v Speaker 3>This is real numbers, even for these big companies. They're

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<v Speaker 3>spending a lot. What Apple is showing today with Vision

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<v Speaker 3>pro from a technology from a price standpoint, it's seven

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<v Speaker 3>times higher. From a technology point, it's probably thirty x better.

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<v Speaker 3>And I think ultimately is that what Meta wants to

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<v Speaker 3>be spatial computing, the metaverse for the masses is that

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<v Speaker 3>I do believe that that will roll out eventually, so

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<v Speaker 3>but I wish that they just wouldn't spend as much.

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<v Speaker 3>Spend five billion a year, not fifteen billion a year.

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<v Speaker 3>But to answer your question, Paul, where are they? They're doubling,

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<v Speaker 3>tripling down on this, And I kind of see this

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<v Speaker 3>as BlackBerry versus the iPhone to you.

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<v Speaker 1>To Global Wall Street, we start strolling on the seven

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<v Speaker 1>o'clock or a gene monster with his deep water asset

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<v Speaker 1>management here on this huge societal juggernaut. We're all writing

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<v Speaker 1>the technology company. Speaking of technology, Apple car play, We

0:11:31.559 --> 0:11:33.720
<v Speaker 1>are humble. I got goosebumps over like you know the

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<v Speaker 1>January numbers, Apple car play on Apple on Android, Bloomberg

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<v Speaker 1>Business app downloaded free and it works, it's safer, it's better,

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<v Speaker 1>as Apple says. And on YouTube, Ian Bremer, technologist Yep,

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<v Speaker 1>picks up Godfreed Jeff Gottfried's work at Pure Research in

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<v Speaker 1>New Jersey over what do we actually consume? And Facebook's

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<v Speaker 1>right up there, in Instagram's right up there. But paul

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<v Speaker 1>Ian Bremer points out eight and ten Americans are engaged

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<v Speaker 1>with YouTube. We're on YouTube, Bloomberg podcasts, look for it.

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<v Speaker 5>Absolutely, we're there. Hey.

0:12:09.280 --> 0:12:14.199
<v Speaker 4>The third company reporting last night, Amazon Boy another really good.

0:12:14.360 --> 0:12:16.520
<v Speaker 1>I thought they would have liked they were terrible.

0:12:17.120 --> 0:12:19.440
<v Speaker 4>Stocks up about six and a half percent pre market,

0:12:19.440 --> 0:12:22.240
<v Speaker 4>trading up about forty percent over the trailing twelve months.

0:12:22.280 --> 0:12:22.400
<v Speaker 2>Here.

0:12:22.440 --> 0:12:26.760
<v Speaker 5>What did you hear from Amazon last night, Geen, Well.

0:12:26.600 --> 0:12:29.200
<v Speaker 3>This one, just in terms of the stock reaction, is

0:12:29.200 --> 0:12:31.680
<v Speaker 3>a surprise to me. I would if you'd have given

0:12:31.720 --> 0:12:33.079
<v Speaker 3>me the press release beforehand.

0:12:33.080 --> 0:12:34.560
<v Speaker 2>Out has said it's down a few percent.

0:12:34.640 --> 0:12:38.199
<v Speaker 3>So what we heard last night was that AWS, which

0:12:38.360 --> 0:12:40.920
<v Speaker 3>is typically the pressure point that people focus on, was

0:12:41.000 --> 0:12:44.079
<v Speaker 3>up thirteen percent that was compares to twelve and a

0:12:44.080 --> 0:12:46.520
<v Speaker 3>half percent growth in the September quarter and twelve point

0:12:46.559 --> 0:12:49.280
<v Speaker 3>two percent in the June quarter, So we saw I

0:12:49.280 --> 0:12:53.360
<v Speaker 3>would say, a fifty basis points acceleration. Compare that to

0:12:53.679 --> 0:12:55.880
<v Speaker 3>what Google Cloud did. They showed a three hundred and

0:12:55.880 --> 0:12:59.040
<v Speaker 3>twenty basis point acceleration of twenty six percent, an Azure

0:12:59.240 --> 0:13:02.319
<v Speaker 3>one hundred bases point acceleration to thirty percent. Put all

0:13:02.320 --> 0:13:06.400
<v Speaker 3>this together, AWS should and continue to be the focus

0:13:06.600 --> 0:13:10.839
<v Speaker 3>for Amazon investors. And in fact, yes it showed acceleration,

0:13:10.920 --> 0:13:13.560
<v Speaker 3>but it still is losing share notably. And I think

0:13:13.640 --> 0:13:17.040
<v Speaker 3>when you fast forward this six twelve, twenty four months

0:13:17.080 --> 0:13:19.760
<v Speaker 3>from now and think about how these platforms are going

0:13:19.800 --> 0:13:23.080
<v Speaker 3>to be adding more AI capabilities for the people that

0:13:23.240 --> 0:13:27.800
<v Speaker 3>use them, I think that advantage Microsoft and Google. So

0:13:27.840 --> 0:13:30.920
<v Speaker 3>I think it's going to be increasingly competitive. The reason

0:13:30.960 --> 0:13:33.800
<v Speaker 3>why the stock is up is because they beat earnings

0:13:33.840 --> 0:13:35.800
<v Speaker 3>by operating income by fifty percent.

0:13:35.840 --> 0:13:39.440
<v Speaker 2>They crushed it. And this is like the roller coaster

0:13:39.600 --> 0:13:41.280
<v Speaker 2>game of Amazon and earnings.

0:13:41.320 --> 0:13:44.120
<v Speaker 3>You get a boom bust cycle for two or three quarters,

0:13:44.160 --> 0:13:45.920
<v Speaker 3>and then a boom cycle and then a bus cycle.

0:13:45.960 --> 0:13:48.560
<v Speaker 2>And so Paul to put it all together. I think

0:13:48.880 --> 0:13:51.480
<v Speaker 2>Amazon quarter was good, it wasn't great.

0:13:51.920 --> 0:13:58.960
<v Speaker 3>They got people excited about this rufus, this assistant shopper.

0:13:59.640 --> 0:14:00.559
<v Speaker 2>I think it's pretty cool.

0:14:00.600 --> 0:14:04.640
<v Speaker 3>I think it's gonna help engagement, help people find products

0:14:04.679 --> 0:14:08.080
<v Speaker 3>better on Amazon. Good use of AI, but to me

0:14:08.200 --> 0:14:10.320
<v Speaker 3>doesn't justify what's happening with the stock this morning.

0:14:10.360 --> 0:14:12.839
<v Speaker 4>All right, let's step back a little bit, Geene, we

0:14:13.120 --> 0:14:14.840
<v Speaker 4>kind of ran through the big three tech names are

0:14:14.880 --> 0:14:18.400
<v Speaker 4>reported last night. I love to get your view here

0:14:18.480 --> 0:14:20.360
<v Speaker 4>now that we've had a little bit of perspective here

0:14:20.360 --> 0:14:22.640
<v Speaker 4>four five, six quarters where we've had a lot of

0:14:22.680 --> 0:14:25.680
<v Speaker 4>these companies talking about generative AI. I love to get

0:14:25.720 --> 0:14:29.720
<v Speaker 4>your view as kind of how you think it kind

0:14:29.720 --> 0:14:32.800
<v Speaker 4>of really sits as a theme in technology.

0:14:33.160 --> 0:14:33.800
<v Speaker 5>Is it real?

0:14:34.360 --> 0:14:34.560
<v Speaker 1>Is it?

0:14:34.600 --> 0:14:37.000
<v Speaker 5>And how material is it? And how do you play it?

0:14:39.040 --> 0:14:39.120
<v Speaker 1>So?

0:14:39.280 --> 0:14:41.920
<v Speaker 2>Is it real? Yes? How material is it?

0:14:42.040 --> 0:14:45.400
<v Speaker 3>The example My framework is that if you do the

0:14:45.440 --> 0:14:47.200
<v Speaker 3>scale of zero to one hundred, we've talked about this

0:14:47.280 --> 0:14:50.000
<v Speaker 3>zero to one hundred, one hundred being electricity, I would

0:14:50.040 --> 0:14:53.800
<v Speaker 3>put the smartphone at in terms of importance. Electricity is

0:14:53.800 --> 0:14:57.360
<v Speaker 3>one hundred, smartphones twenty five, The Internet's fifty.

0:14:57.400 --> 0:14:59.480
<v Speaker 2>And I think jenering of AI and AI.

0:14:59.520 --> 0:15:03.280
<v Speaker 3>More broadly, ninety, I think it is just a step function,

0:15:03.840 --> 0:15:06.520
<v Speaker 3>and I think we're entering it's going to be a

0:15:06.560 --> 0:15:09.560
<v Speaker 3>three to five year bowl market that's going to culminate

0:15:09.600 --> 0:15:13.720
<v Speaker 3>in a bubble. By definition, almost has to happen. If

0:15:13.800 --> 0:15:16.760
<v Speaker 3>this is in fact, ninety out of one hundred, we

0:15:16.840 --> 0:15:21.840
<v Speaker 3>will see a bubble. So I'm I'm on board that

0:15:21.960 --> 0:15:25.440
<v Speaker 3>these can be transformative. I mean, we saw Tim Cook

0:15:25.640 --> 0:15:29.680
<v Speaker 3>finally utter those two letters yesterday in the prepared remarks,

0:15:29.840 --> 0:15:32.760
<v Speaker 3>and I think they're it's setting Apple up to enter

0:15:32.840 --> 0:15:35.200
<v Speaker 3>as with a foundation model this year. So big picture,

0:15:36.520 --> 0:15:41.600
<v Speaker 3>it's I think it's hard to under under states how

0:15:41.640 --> 0:15:43.200
<v Speaker 3>meaningful of a change this is going to be.

0:15:43.440 --> 0:15:46.040
<v Speaker 1>Gene, I wanted to shift here too long ago and

0:15:46.160 --> 0:15:48.240
<v Speaker 1>far away when we hung on every word you said

0:15:48.280 --> 0:15:52.040
<v Speaker 1>at Piper Jeffrey about should we be in these stocks.

0:15:52.040 --> 0:15:55.040
<v Speaker 1>There's a lot of people listening and watching on YouTube

0:15:55.040 --> 0:15:59.160
<v Speaker 1>and car play who are saying I'm in this or

0:15:59.160 --> 0:16:00.960
<v Speaker 1>I think I'm in it, I four oh one K

0:16:01.800 --> 0:16:03.480
<v Speaker 1>or I'm not in it, and damn I got to

0:16:03.520 --> 0:16:06.520
<v Speaker 1>get into it. But I'm scared, stiff. I want you

0:16:06.600 --> 0:16:11.400
<v Speaker 1>to talk the five year vision of these companies that

0:16:11.400 --> 0:16:14.600
<v Speaker 1>have come so far in the last decade. Do you

0:16:14.720 --> 0:16:19.120
<v Speaker 1>extrapolate out the present trends? Is there a lesser slope

0:16:19.200 --> 0:16:22.040
<v Speaker 1>or dare I say, can they even get convexity and

0:16:22.120 --> 0:16:29.120
<v Speaker 1>accelerate free cash flow revenue growth their position within American society.

0:16:30.120 --> 0:16:32.760
<v Speaker 3>I think when you look at the kind of scope

0:16:32.800 --> 0:16:37.920
<v Speaker 3>of where wealth will be created around AI, I generally

0:16:37.960 --> 0:16:39.760
<v Speaker 3>think of it as in three buckets. I think that

0:16:39.800 --> 0:16:43.240
<v Speaker 3>there's the we'll call it the safe bet, and I

0:16:43.280 --> 0:16:46.120
<v Speaker 3>think that is this megacap tech. And I think it's

0:16:46.120 --> 0:16:47.800
<v Speaker 3>not just own the magnificent seven.

0:16:47.840 --> 0:16:48.480
<v Speaker 2>I think they are.

0:16:49.440 --> 0:16:52.520
<v Speaker 3>I think they're I think the best one surprisingly is Google.

0:16:52.560 --> 0:16:56.640
<v Speaker 3>I think the best opportunity that's underappreciated relative to what's happened.

0:16:56.400 --> 0:16:57.520
<v Speaker 2>With the other ones, I think Google.

0:16:57.600 --> 0:17:01.160
<v Speaker 3>So this is not investment advice, but from our perspective,

0:17:01.440 --> 0:17:04.360
<v Speaker 3>we onwn Google a meta and so continue to do that.

0:17:04.520 --> 0:17:06.720
<v Speaker 3>Continue to think that's a great place to be, even

0:17:06.840 --> 0:17:10.879
<v Speaker 3>with the upside that they've had. But we also believe

0:17:10.960 --> 0:17:14.359
<v Speaker 3>that AI is going to have a profound impact on

0:17:14.600 --> 0:17:16.760
<v Speaker 3>companies that are less well known.

0:17:17.080 --> 0:17:19.080
<v Speaker 2>We have an ETF the ticker's loup.

0:17:19.320 --> 0:17:24.040
<v Speaker 3>It's a frontier tech, which means that it effectively identifies

0:17:24.080 --> 0:17:26.199
<v Speaker 3>what are the transformative themes over the next three to

0:17:26.240 --> 0:17:28.399
<v Speaker 3>five years. AI is a big part of that, but

0:17:28.480 --> 0:17:30.920
<v Speaker 3>I think some of these smaller companies that haven't had

0:17:31.040 --> 0:17:35.639
<v Speaker 3>this tremendous run, I think that's a meaningful opportunity as well.

0:17:36.040 --> 0:17:38.199
<v Speaker 3>And then the last piece is what we call the

0:17:38.400 --> 0:17:43.560
<v Speaker 3>ordained late stage private companies. These are companies like Hugging

0:17:43.640 --> 0:17:48.880
<v Speaker 3>Face and Data Bricks and open AI and Thropic. These

0:17:48.920 --> 0:17:52.960
<v Speaker 3>are companies that are peer play AI companies. And so

0:17:53.680 --> 0:17:56.920
<v Speaker 3>I want to go back and just answer your question specifically, Tom,

0:17:57.000 --> 0:17:59.560
<v Speaker 3>is that yes, I think you should continue to own

0:17:59.560 --> 0:18:03.600
<v Speaker 3>a select companies within the magnificent seven because I think

0:18:03.640 --> 0:18:06.840
<v Speaker 3>they'll continue to benefit. But as far as trying to

0:18:06.960 --> 0:18:10.719
<v Speaker 3>get outperformance relative to the market, I think you need

0:18:10.760 --> 0:18:13.359
<v Speaker 3>to try to search for some of those less well

0:18:13.480 --> 0:18:16.720
<v Speaker 3>known sub hundred billion dollars we call that small now

0:18:17.119 --> 0:18:19.560
<v Speaker 3>sub one hundred billion dollars small tech companies.

0:18:19.600 --> 0:18:24.360
<v Speaker 7>I'm long weighing lambs the weight labs exactly, all right,

0:18:24.400 --> 0:18:28.560
<v Speaker 7>So gene in your fund here, what are some of

0:18:27.720 --> 0:18:31.720
<v Speaker 7>the names that you guys own that maybe maybe people

0:18:31.720 --> 0:18:32.320
<v Speaker 7>don't think about.

0:18:32.359 --> 0:18:34.760
<v Speaker 4>I mean, everybody's you know, kind of feels like they

0:18:34.760 --> 0:18:36.800
<v Speaker 4>have their own call on in the apples of the world,

0:18:36.800 --> 0:18:38.479
<v Speaker 4>of the Amazon's of the world, other parts of the

0:18:38.480 --> 0:18:41.920
<v Speaker 4>tech space that you think are underappreciated out there.

0:18:43.600 --> 0:18:46.879
<v Speaker 3>Yeah, we actually go and look for companies off that

0:18:46.880 --> 0:18:49.480
<v Speaker 3>beaten path. I mean, there's one company, New Bank, Tipker

0:18:50.359 --> 0:18:54.119
<v Speaker 3>and you as in November uniform and New Bank is

0:18:54.160 --> 0:18:56.880
<v Speaker 3>the fastest growing bank in Latin America. They've basically gone

0:18:56.880 --> 0:19:00.520
<v Speaker 3>from nothing to about eight percent share. Like one in

0:19:00.600 --> 0:19:03.480
<v Speaker 3>two people in Brazil use a form of New Bank.

0:19:03.760 --> 0:19:08.080
<v Speaker 3>But they're using artificial intelligence to help better identify get

0:19:08.080 --> 0:19:12.320
<v Speaker 3>the underbank population to be banked. And it's been a

0:19:12.359 --> 0:19:14.960
<v Speaker 3>great use case of that and it works. It works

0:19:14.960 --> 0:19:17.840
<v Speaker 3>for risk management. So New Bank is a company that

0:19:18.320 --> 0:19:22.400
<v Speaker 3>we own Coupong maybe you may not, maybe a new one.

0:19:22.880 --> 0:19:27.040
<v Speaker 3>Think of this as the Amazon of South Korea. Uh,

0:19:27.119 --> 0:19:31.040
<v Speaker 3>and they basically have a pole position there. South Korea

0:19:31.400 --> 0:19:35.280
<v Speaker 3>is doing relatively well. And then the last one Marcato

0:19:35.320 --> 0:19:39.159
<v Speaker 3>Libre yep, and I hope both of you are sitting

0:19:39.200 --> 0:19:44.000
<v Speaker 3>down for this one. Just recently we added we spent

0:19:44.080 --> 0:19:46.920
<v Speaker 3>a lot of time seven years working in China covering

0:19:47.000 --> 0:19:49.399
<v Speaker 3>these being bringing a lot of these companies public. The

0:19:49.640 --> 0:19:52.920
<v Speaker 3>tech companies in China. We've just in the last few

0:19:52.960 --> 0:19:58.800
<v Speaker 3>weeks actually made some investments in some Chinese equities tech equities.

0:19:59.200 --> 0:20:01.520
<v Speaker 1>WHOA, I think we'll leave it there. I gotta go

0:20:01.560 --> 0:20:04.720
<v Speaker 1>call my broker, Gene Munster. Generous of you tow b

0:20:04.800 --> 0:20:17.480
<v Speaker 1>with us through this half hour, We're going to do

0:20:17.560 --> 0:20:20.840
<v Speaker 1>a roundtable here. Mona Mahagen Joints from Edward Jones, senior

0:20:20.840 --> 0:20:24.520
<v Speaker 1>investment strategist in Sarah House from Wells Fargo. We're going

0:20:24.600 --> 0:20:26.639
<v Speaker 1>to try to keep him for two hours. I believe

0:20:26.680 --> 0:20:29.600
<v Speaker 1>Sarah's got to go at some point. Jay Brison at

0:20:29.640 --> 0:20:31.560
<v Speaker 1>a tantrum and says she can only do so much

0:20:31.560 --> 0:20:34.240
<v Speaker 1>time with us, and Mona's with us. We're thrilled of both.

0:20:34.280 --> 0:20:36.879
<v Speaker 1>You really with two different remits, Sarah, I got to

0:20:36.920 --> 0:20:41.159
<v Speaker 1>go to you first because I got with revision a

0:20:41.240 --> 0:20:45.760
<v Speaker 1>four hundred and seventy nine thousand statistic. Do we blame

0:20:45.760 --> 0:20:49.879
<v Speaker 1>this in seasonality? Is this because Amazon and Bloomingdale's hired

0:20:49.920 --> 0:20:54.000
<v Speaker 1>more people? What's the asterisk Wells Fargo sees in this

0:20:54.080 --> 0:20:55.560
<v Speaker 1>buoyant report?

0:20:56.720 --> 0:20:59.200
<v Speaker 8>Sure so, I mean, I think overall, the message is

0:20:59.320 --> 0:21:03.359
<v Speaker 8>this job market that is still incredibly strong despite making

0:21:03.560 --> 0:21:07.240
<v Speaker 8>all the efforts for the bed told the economy. But

0:21:07.400 --> 0:21:10.320
<v Speaker 8>I think you're right in that there probably is some

0:21:10.520 --> 0:21:13.680
<v Speaker 8>flattery from the seasonals of January is the month where

0:21:13.680 --> 0:21:16.560
<v Speaker 8>we tend to get the biggest move and non seasonally

0:21:16.680 --> 0:21:19.360
<v Speaker 8>adjusted number, So if you see any sort of deviation

0:21:19.480 --> 0:21:22.600
<v Speaker 8>from that, that can flatter the January numbers. We saw

0:21:22.640 --> 0:21:25.640
<v Speaker 8>that last January as well. But I think the message

0:21:25.640 --> 0:21:28.159
<v Speaker 8>here is that we're just not seeing the same degree

0:21:28.200 --> 0:21:31.560
<v Speaker 8>of layoffs that we took typically would in January, and

0:21:31.600 --> 0:21:34.680
<v Speaker 8>that's why we're getting such a robust headline number again

0:21:34.720 --> 0:21:35.639
<v Speaker 8>here in January.

0:21:36.119 --> 0:21:40.000
<v Speaker 1>I mean the jobs numbers, I mean people. I understand

0:21:40.000 --> 0:21:43.000
<v Speaker 1>there's a standard here and everybody gets it wrong. I

0:21:43.040 --> 0:21:46.640
<v Speaker 1>get that, but it's months after months after months, we're

0:21:46.640 --> 0:21:50.919
<v Speaker 1>getting nowhere near one fifty or one twenty. David Kelly

0:21:50.920 --> 0:21:53.720
<v Speaker 1>over at JP Morgan Sarah House is looking for some

0:21:53.960 --> 0:21:57.840
<v Speaker 1>form of migration to zero or even a negative statistic.

0:21:58.960 --> 0:22:02.639
<v Speaker 1>Why are we eating so many jobs? Is it lower

0:22:02.760 --> 0:22:06.840
<v Speaker 1>decile staff jobs. Is it a complete underestimation of the

0:22:06.920 --> 0:22:11.520
<v Speaker 1>technology overlay? What's the why for two hundred whatever thousand

0:22:11.680 --> 0:22:12.200
<v Speaker 1>per month?

0:22:13.520 --> 0:22:16.439
<v Speaker 8>Yes, I think one aspect is we're still getting I

0:22:16.440 --> 0:22:20.000
<v Speaker 8>think pretty strong growth in labor supply. We can't compare

0:22:20.400 --> 0:22:22.919
<v Speaker 8>the month and month changes here with the January numbers

0:22:22.960 --> 0:22:26.040
<v Speaker 8>because you you did get some population control adjustments. But

0:22:26.440 --> 0:22:29.280
<v Speaker 8>you know, overall, you you saw the labor force participation

0:22:29.600 --> 0:22:32.240
<v Speaker 8>rate hanging there and it was up about four tenths

0:22:32.240 --> 0:22:35.240
<v Speaker 8>of the percentage point last year. And so that's helping

0:22:35.440 --> 0:22:39.480
<v Speaker 8>helping businesses bill positions meet with still very strong consumer

0:22:39.560 --> 0:22:43.520
<v Speaker 8>and even and even business business demand. So I think

0:22:43.520 --> 0:22:45.640
<v Speaker 8>that that's a big that's a big part of it

0:22:45.720 --> 0:22:49.040
<v Speaker 8>as well. And I think just in some industries like leisure,

0:22:49.080 --> 0:22:52.440
<v Speaker 8>in hospitality, government for example, there's still catchup hiring going

0:22:52.480 --> 0:22:55.440
<v Speaker 8>on from the pandemic as well, which I think, Hey.

0:22:55.280 --> 0:22:58.320
<v Speaker 4>Mona, I'm mona, I'm looking at the tier treasure were

0:22:58.320 --> 0:23:01.159
<v Speaker 4>now up sixteen basis points four point three six percent.

0:23:01.280 --> 0:23:03.720
<v Speaker 4>So from your perspective moment, does that kind of take

0:23:03.760 --> 0:23:06.280
<v Speaker 4>any ambiguity around a March rate cut?

0:23:06.320 --> 0:23:07.560
<v Speaker 5>Does that take that off the table? Now?

0:23:08.200 --> 0:23:08.440
<v Speaker 9>Yeah?

0:23:08.520 --> 0:23:10.280
<v Speaker 6>I think it does. And you know, look, I think

0:23:10.880 --> 0:23:13.320
<v Speaker 6>most market participants we were fifty to fifty ahead of

0:23:13.320 --> 0:23:15.720
<v Speaker 6>the FED meeting in terms of a March rate cut. Anyway,

0:23:16.359 --> 0:23:18.840
<v Speaker 6>I think now people are looking towards May and June

0:23:19.080 --> 0:23:21.040
<v Speaker 6>for the FED to start its rate cutting cycle. We

0:23:21.080 --> 0:23:24.000
<v Speaker 6>do still think that they will pivot from this pause

0:23:24.080 --> 0:23:27.040
<v Speaker 6>to rate cuts later this year, but Jerome Powell told

0:23:27.080 --> 0:23:29.520
<v Speaker 6>us on Wednesday he's willing to take his time. He

0:23:29.560 --> 0:23:32.320
<v Speaker 6>doesn't want to see inflation pick up again. And in fact,

0:23:32.320 --> 0:23:34.399
<v Speaker 6>this job to report this morning may give him a

0:23:34.400 --> 0:23:35.879
<v Speaker 6>bit of pause when he sees that four and a

0:23:35.920 --> 0:23:39.720
<v Speaker 6>half percent wage gain figure, average hourly earnings figure. I'd

0:23:39.760 --> 0:23:41.800
<v Speaker 6>be curious to see what the mix of you know,

0:23:41.880 --> 0:23:44.800
<v Speaker 6>new jobs at it is if we are seeing higher

0:23:45.240 --> 0:23:48.119
<v Speaker 6>paid workers take up more of that mix versus the

0:23:48.160 --> 0:23:51.919
<v Speaker 6>lower skilled, lower paid parts of the market. But certainly

0:23:51.920 --> 0:23:54.600
<v Speaker 6>what we're watching is the strength in this US economy

0:23:55.119 --> 0:23:58.800
<v Speaker 6>and inflation that you know, immaculately has been continuing to

0:23:58.840 --> 0:24:01.360
<v Speaker 6>move lower despite the strength the US economy. We want

0:24:01.359 --> 0:24:03.680
<v Speaker 6>to see that continue in the next few months before

0:24:03.680 --> 0:24:05.159
<v Speaker 6>we start seeing that rate cutting cycle.

0:24:05.560 --> 0:24:07.320
<v Speaker 4>Yeah, just the you know, the highest estimate in the

0:24:07.359 --> 0:24:11.880
<v Speaker 4>Bloomberg survey of seventy seven economists was three hundred thousand,

0:24:12.080 --> 0:24:15.240
<v Speaker 4>so it just kind of blew away all expectations. So Mona,

0:24:15.400 --> 0:24:17.560
<v Speaker 4>given that, how do you position it like you're gonna

0:24:17.560 --> 0:24:20.119
<v Speaker 4>be talking to clients all day today. How are you

0:24:20.119 --> 0:24:23.400
<v Speaker 4>going to position kind of how this data point impacts

0:24:23.680 --> 0:24:27.520
<v Speaker 4>the fed Mona's going to be made by meta by meta'

0:24:28.920 --> 0:24:32.000
<v Speaker 4>So attis is impact your market outlook here? Yeah?

0:24:32.040 --> 0:24:34.520
<v Speaker 6>You know, look, I think it kind of reaffirmed some

0:24:34.520 --> 0:24:36.880
<v Speaker 6>of the things messages we've been giving to our clients

0:24:36.920 --> 0:24:39.160
<v Speaker 6>as well, which is one we do think if twenty

0:24:39.200 --> 0:24:41.919
<v Speaker 6>twenty three was the year of narrow leadership, you know,

0:24:42.160 --> 0:24:45.680
<v Speaker 6>folks piled into megacap tech, the AI trade. They also

0:24:45.720 --> 0:24:48.840
<v Speaker 6>piled into cash and CDs, cash like instruments, we didn't

0:24:48.880 --> 0:24:52.040
<v Speaker 6>think twenty twenty four is a year of broadening in participation.

0:24:52.119 --> 0:24:54.879
<v Speaker 6>So yes, we still like the AI tech trade. We

0:24:54.880 --> 0:24:57.400
<v Speaker 6>think it's in early innings of a long term secular

0:24:57.520 --> 0:25:00.240
<v Speaker 6>bull market, but we want to make sure that we

0:25:00.280 --> 0:25:02.840
<v Speaker 6>have exposure to other parts of the market that may

0:25:02.880 --> 0:25:05.120
<v Speaker 6>play some catch up, especially in an environment where we're

0:25:05.160 --> 0:25:08.159
<v Speaker 6>not seeing any cracks in the economy thus far, we

0:25:08.200 --> 0:25:10.840
<v Speaker 6>could see cyclical parts of the market, even parts of

0:25:10.960 --> 0:25:14.399
<v Speaker 6>value and across the market cast space as well. We

0:25:14.440 --> 0:25:18.440
<v Speaker 6>would say also with yields remaining relatively higher not returning

0:25:18.440 --> 0:25:20.919
<v Speaker 6>anywhere near the zero bound, we think longer term that

0:25:20.960 --> 0:25:23.800
<v Speaker 6>means better balance in your portfolios between growth and value

0:25:23.960 --> 0:25:26.680
<v Speaker 6>and bonds. They continue to play a critical element here

0:25:26.720 --> 0:25:27.119
<v Speaker 6>as well.

0:25:27.400 --> 0:25:30.320
<v Speaker 1>If you're just joining us. Mona Mahadj and Edward Jones,

0:25:30.320 --> 0:25:33.120
<v Speaker 1>senior investment strategists with us for this entire half hour.

0:25:33.440 --> 0:25:37.120
<v Speaker 1>Sarah House with Wells Fargo, their senior economist, as well,

0:25:37.160 --> 0:25:40.480
<v Speaker 1>as we look at a stunning American jobs report. There's

0:25:40.520 --> 0:25:42.760
<v Speaker 1>no other way to put it. I don't know the calculator,

0:25:42.760 --> 0:25:45.359
<v Speaker 1>I don't the HP twelve seas off right now, but

0:25:45.440 --> 0:25:47.480
<v Speaker 1>all you got to know is look at four hundred

0:25:47.480 --> 0:25:51.320
<v Speaker 1>thousand in the last sixty days, over six hundred thousand

0:25:51.880 --> 0:25:55.439
<v Speaker 1>jobs created in America. Robert up in Connecticut, you know

0:25:56.320 --> 0:25:58.800
<v Speaker 1>he's got the bloody Mary going on a Friday. Artraguore

0:25:59.000 --> 0:26:02.200
<v Speaker 1>and Robert, thank you for sending in the nice information

0:26:02.280 --> 0:26:06.760
<v Speaker 1>there in seasonality on retail, on healthcare as well. Sarah,

0:26:06.760 --> 0:26:08.840
<v Speaker 1>I'm gonna ask you a question you don't want to answer,

0:26:08.880 --> 0:26:12.520
<v Speaker 1>but it's rude Friday. You got to be kidding me

0:26:13.160 --> 0:26:17.000
<v Speaker 1>that Jay Powell wasn't brief on this for that FED

0:26:17.119 --> 0:26:20.719
<v Speaker 1>press conference. Now, he may have not have known the

0:26:20.840 --> 0:26:23.720
<v Speaker 1>numbers because you know, we play by rules in America,

0:26:24.240 --> 0:26:28.000
<v Speaker 1>but you don't think someone like Sarah House. The Sarah

0:26:28.080 --> 0:26:31.119
<v Speaker 1>House at the eCos building tapped him on the shoulder

0:26:31.119 --> 0:26:33.679
<v Speaker 1>and said, excuse me, sir, it's going to be a

0:26:33.800 --> 0:26:37.160
<v Speaker 1>ginormous number on Friday. Sarah House. Did he know that?

0:26:38.840 --> 0:26:39.600
<v Speaker 3>They don't think so.

0:26:39.680 --> 0:26:42.240
<v Speaker 8>I can't say for certain, but I think in a

0:26:42.400 --> 0:26:45.480
<v Speaker 8>recent interview with David Rubinstein he indicated that he probably

0:26:45.520 --> 0:26:48.560
<v Speaker 8>doesn't get those numbers until Thursday. And you know, the

0:26:49.200 --> 0:26:51.640
<v Speaker 8>BLS does cut it close in terms of how many

0:26:51.720 --> 0:26:54.200
<v Speaker 8>days they have to prepare this, and so this was

0:26:54.240 --> 0:26:58.560
<v Speaker 8>a Hay report as well. So my implination is I

0:26:58.600 --> 0:27:00.760
<v Speaker 8>don't believe he had these actual numbers.

0:27:01.040 --> 0:27:03.760
<v Speaker 1>Sarah House. Seasonality. I got a lot of emails coming

0:27:03.800 --> 0:27:08.119
<v Speaker 1>in from a season pros retired pros in that come on,

0:27:08.240 --> 0:27:13.320
<v Speaker 1>it's January. Was this retail, healthcare and oddities? When you

0:27:13.400 --> 0:27:15.960
<v Speaker 1>dive into this a say afternoon with Team Bryson, are

0:27:15.960 --> 0:27:18.359
<v Speaker 1>you going to look at it being seasonality? Sarah House.

0:27:20.000 --> 0:27:22.800
<v Speaker 8>Well, again, it comes down to the fact that we

0:27:23.000 --> 0:27:25.720
<v Speaker 8>just did not see as many layoffs as we usually

0:27:25.840 --> 0:27:28.359
<v Speaker 8>would this time of year. Now, there were some soft

0:27:28.359 --> 0:27:30.399
<v Speaker 8>spots in the report, so you had a pretty meager

0:27:30.440 --> 0:27:33.600
<v Speaker 8>gain in leisure and hospitality, But you all saw other

0:27:33.680 --> 0:27:38.000
<v Speaker 8>sectors which actually can see even noticeable declines in January,

0:27:38.040 --> 0:27:42.080
<v Speaker 8>like professional business services that posted a nice increase as well.

0:27:42.200 --> 0:27:45.040
<v Speaker 8>Retail was very strong. So I think that suggests that

0:27:45.560 --> 0:27:49.240
<v Speaker 8>you saw retail companies they didn't hire as much holiday workers,

0:27:49.320 --> 0:27:50.920
<v Speaker 8>but that also means that they don't have to let

0:27:50.960 --> 0:27:54.360
<v Speaker 8>go as many holiday weekers. So that's probably flattering that

0:27:54.480 --> 0:27:56.640
<v Speaker 8>the rough of forty five thousand and eight we saw

0:27:56.640 --> 0:27:59.280
<v Speaker 8>on detail on a seasonally just basis, Hey, mol.

0:27:59.200 --> 0:28:01.359
<v Speaker 4>One, when I see it GDP print for the first

0:28:01.520 --> 0:28:04.760
<v Speaker 4>quarter of three point three percent significantly better than expected,

0:28:04.800 --> 0:28:08.639
<v Speaker 4>I see the labor market significantly stronger than expected. It

0:28:08.720 --> 0:28:10.040
<v Speaker 4>kind of makes me feel like I want to run

0:28:10.040 --> 0:28:12.400
<v Speaker 4>out and buy cyclical stocks if the economy is doing

0:28:12.440 --> 0:28:15.639
<v Speaker 4>better than expected. How do you feel about those types

0:28:15.720 --> 0:28:17.560
<v Speaker 4>of names coming out of the Great Midwest.

0:28:18.840 --> 0:28:21.040
<v Speaker 6>Yeah, you know, Actually it's a great point and something

0:28:21.040 --> 0:28:22.800
<v Speaker 6>that we have been considering. And if you know, I'll

0:28:22.840 --> 0:28:26.080
<v Speaker 6>give you an interesting stat when we look historically in

0:28:26.160 --> 0:28:29.480
<v Speaker 6>an environment where the FED starts cutting rates and we

0:28:29.560 --> 0:28:32.800
<v Speaker 6>are not in a recession, probably perhaps the environment we're

0:28:32.840 --> 0:28:35.560
<v Speaker 6>in now versus the FED starts cutting rates and we

0:28:35.680 --> 0:28:39.080
<v Speaker 6>are in a downturn, a recession. The market outcomes are

0:28:39.160 --> 0:28:41.960
<v Speaker 6>much better, of course in the non recessionary scenario, and

0:28:42.000 --> 0:28:43.720
<v Speaker 6>in fact, the S and P in the twelve months

0:28:43.760 --> 0:28:46.000
<v Speaker 6>after the first rate cut is up about eight to

0:28:46.040 --> 0:28:49.840
<v Speaker 6>ten percent versus flat to slightly down in the recessionary scenario.

0:28:49.920 --> 0:28:53.200
<v Speaker 6>So we do think there is still historical precedent. The

0:28:53.320 --> 0:28:55.640
<v Speaker 6>history may not repeat itself, but there is some precedent

0:28:56.280 --> 0:28:58.240
<v Speaker 6>for better market outcomes, and we think the parts of

0:28:58.240 --> 0:29:00.440
<v Speaker 6>the market that will show those better outcomes are exactly

0:29:00.520 --> 0:29:03.240
<v Speaker 6>the ones that you highlighted. We like the cyclical parts

0:29:03.280 --> 0:29:06.800
<v Speaker 6>of the market, you know, areas like industrials for example, especially

0:29:06.840 --> 0:29:09.200
<v Speaker 6>if global growth starts to place and ketchup in the

0:29:09.200 --> 0:29:11.360
<v Speaker 6>back half of the year, could do well. And we're

0:29:11.520 --> 0:29:13.960
<v Speaker 6>you know, taking any opportunity we can really on with

0:29:14.080 --> 0:29:16.920
<v Speaker 6>volatility to position ourselves for those those rebounds.

0:29:17.160 --> 0:29:19.160
<v Speaker 1>Sarah House, We're gonna let you go now to duties

0:29:19.160 --> 0:29:21.760
<v Speaker 1>at Wells Fargo. Lost to write up on this stunning

0:29:21.840 --> 0:29:24.480
<v Speaker 1>jobs report. Thank you so much to you and team

0:29:24.520 --> 0:29:28.240
<v Speaker 1>Brison for perspective this morning. Mona ma Hodgen continues with

0:29:28.360 --> 0:29:30.920
<v Speaker 1>us Edward Jones here commercial free in this half hour

0:29:31.440 --> 0:29:34.160
<v Speaker 1>of a bang up jobs report, just no other way

0:29:35.040 --> 0:29:37.280
<v Speaker 1>to put it. We welcome all of you on Apple,

0:29:37.320 --> 0:29:40.720
<v Speaker 1>car Play and YouTube again your search Google? Right, you

0:29:40.800 --> 0:29:41.240
<v Speaker 1>use bing?

0:29:41.320 --> 0:29:43.720
<v Speaker 4>Paul's pretty much a Google person.

0:29:43.720 --> 0:29:47.960
<v Speaker 5>Matt Miller is a Bing. Matt Miller's a chat. Yes

0:29:48.000 --> 0:29:49.160
<v Speaker 5>he has made I have to.

0:29:49.120 --> 0:29:52.920
<v Speaker 1>Look at Miller's the text study. Yes, I guess I

0:29:52.960 --> 0:29:55.080
<v Speaker 1>gotta look at Bing. I'm not using Bang, I'm looking

0:29:55.120 --> 0:29:57.920
<v Speaker 1>Safari or whatever. But you go YouTube.

0:29:58.080 --> 0:30:00.520
<v Speaker 5>It's got Bloomberg to help me.

0:30:00.560 --> 0:30:01.240
<v Speaker 1>Are you bings?

0:30:01.840 --> 0:30:02.520
<v Speaker 2>I'm Google?

0:30:02.960 --> 0:30:04.760
<v Speaker 1>Mona, Are you Bing or Google or what?

0:30:05.160 --> 0:30:05.320
<v Speaker 9>Oh?

0:30:05.560 --> 0:30:06.600
<v Speaker 6>Oh Google for sure?

0:30:06.760 --> 0:30:09.640
<v Speaker 1>Okay, Mona, Mahadgen weighing in there. That's the Edward Jones

0:30:09.880 --> 0:30:13.160
<v Speaker 1>perspective here personally. So let me say, good morning YouTube,

0:30:13.240 --> 0:30:16.480
<v Speaker 1>Bloomberg Podcasts, Good morning Matt Miller. Look it up on

0:30:16.600 --> 0:30:20.120
<v Speaker 1>bing if you can, Mona, I need to reset here.

0:30:20.360 --> 0:30:23.480
<v Speaker 1>The tech cash flows are stunning.

0:30:23.600 --> 0:30:23.800
<v Speaker 10>Yeah.

0:30:23.880 --> 0:30:26.680
<v Speaker 1>Now they make up twenty five thirty percent of the

0:30:26.840 --> 0:30:29.600
<v Speaker 1>S and P five hundred. Let's say they go to

0:30:29.680 --> 0:30:35.200
<v Speaker 1>thirty five percent or forty percent where the math doesn't

0:30:35.240 --> 0:30:38.720
<v Speaker 1>work in retirement planning, how do you at Edward Jones

0:30:38.960 --> 0:30:39.440
<v Speaker 1>deal with that?

0:30:40.520 --> 0:30:42.400
<v Speaker 6>Yeah, it's a great call out. Look when you look

0:30:42.400 --> 0:30:44.560
<v Speaker 6>at any US index, but particularly the S and P

0:30:44.680 --> 0:30:47.600
<v Speaker 6>five hundred, which is pretty much a global benchmark. Forty

0:30:47.640 --> 0:30:50.640
<v Speaker 6>five percent of that index does come from growth tech

0:30:51.400 --> 0:30:54.920
<v Speaker 6>type of stocks and sectors, and so even if you

0:30:55.040 --> 0:30:58.479
<v Speaker 6>are just an index investor, you are forty five percent

0:30:58.600 --> 0:31:01.479
<v Speaker 6>invested in technology. And of course, when we think about

0:31:01.520 --> 0:31:03.760
<v Speaker 6>a global stock market, it doesn't look the same in

0:31:03.800 --> 0:31:07.240
<v Speaker 6>Europe or even in Asia. In Europe in particular, much

0:31:07.280 --> 0:31:13.200
<v Speaker 6>more heavily weighted in value parts of the market industrials, manufacturing, financials.

0:31:13.600 --> 0:31:15.680
<v Speaker 6>So when we think about, you know, putting together a

0:31:15.720 --> 0:31:18.800
<v Speaker 6>diversified portfolio, US is still the largest part of that.

0:31:18.840 --> 0:31:21.640
<v Speaker 6>And within that we still see value in and we

0:31:21.680 --> 0:31:25.280
<v Speaker 6>talked about this briefly earlier in the technology space, because

0:31:25.800 --> 0:31:27.880
<v Speaker 6>not only have we seen cash flows increase, we've seen

0:31:27.960 --> 0:31:31.120
<v Speaker 6>earnings increase quite a bit as well, and we do

0:31:31.160 --> 0:31:35.000
<v Speaker 6>think the AI boom and trade continues over the next

0:31:35.000 --> 0:31:37.440
<v Speaker 6>five to ten years. Some of that has been priced in.

0:31:37.520 --> 0:31:40.800
<v Speaker 6>You know, the mag seven was up seventy percent plus

0:31:40.800 --> 0:31:43.720
<v Speaker 6>on average last year, so we are starting to see

0:31:44.640 --> 0:31:46.280
<v Speaker 6>we are starting to see a bit of that priced in.

0:31:47.080 --> 0:31:49.680
<v Speaker 6>We think we do get better opportunities in the weeks

0:31:49.680 --> 0:31:52.440
<v Speaker 6>and months ahead but we don't want to give up

0:31:52.480 --> 0:31:55.000
<v Speaker 6>on that trade. Early on. We do think that not

0:31:55.040 --> 0:31:57.920
<v Speaker 6>only will we see those index players benefit, but over

0:31:57.960 --> 0:32:00.600
<v Speaker 6>time we'll see other parts of the more could benefit

0:32:00.600 --> 0:32:02.000
<v Speaker 6>from the products that come out of it. So the

0:32:02.000 --> 0:32:06.160
<v Speaker 6>manufacturing even financial sector will ultimately benefit from AI as well.

0:32:06.160 --> 0:32:08.040
<v Speaker 6>But you have to think about where all those docks

0:32:08.040 --> 0:32:08.840
<v Speaker 6>are housed.

0:32:08.600 --> 0:32:13.000
<v Speaker 1>Paul, can we have a surveillance moment of silence for

0:32:13.120 --> 0:32:17.720
<v Speaker 1>Neil Dutta at Renmac These job numbers are like Neil

0:32:17.760 --> 0:32:22.080
<v Speaker 1>Dutta numbers where he's saying, look, we're creating jobs, and

0:32:22.400 --> 0:32:26.800
<v Speaker 1>the heart of his thesis is we're creating inflation adjusted

0:32:26.920 --> 0:32:32.760
<v Speaker 1>constructive wages, which goes into consumption. Most of us spend

0:32:32.800 --> 0:32:37.280
<v Speaker 1>our paychecks we do, which goes into GDP nominal revenue,

0:32:37.480 --> 0:32:39.360
<v Speaker 1>and that goes over to Mona Madgen's world.

0:32:39.480 --> 0:32:43.040
<v Speaker 5>It does, and you know, all the Sweeny offspring are employed.

0:32:43.160 --> 0:32:43.680
<v Speaker 5>So that's good.

0:32:43.720 --> 0:32:46.840
<v Speaker 4>That's kind of my personal gauge of employment out there.

0:32:46.880 --> 0:32:48.560
<v Speaker 5>In the world. Mona.

0:32:49.200 --> 0:32:51.240
<v Speaker 4>Let's talk about valuation here a right smack in the

0:32:51.240 --> 0:32:53.320
<v Speaker 4>middle of earnings. We had some really good tech numbers

0:32:53.440 --> 0:32:56.040
<v Speaker 4>last night from some of the big tech names. Broadly speaking,

0:32:56.560 --> 0:32:59.400
<v Speaker 4>you know, if the barecase out there that we speak

0:32:59.400 --> 0:33:02.000
<v Speaker 4>to some people that I'm cautious, they're going to call invaluation.

0:33:02.040 --> 0:33:03.520
<v Speaker 4>They're going to say the stocks have kind of gotten

0:33:03.520 --> 0:33:07.440
<v Speaker 4>ahead of earnings out there. Do you have concern or

0:33:07.440 --> 0:33:09.360
<v Speaker 4>what level of concern do you have about valuation in

0:33:09.360 --> 0:33:09.920
<v Speaker 4>this market?

0:33:10.560 --> 0:33:12.280
<v Speaker 6>Yeah, you know, it's a good call out. And we

0:33:12.440 --> 0:33:14.880
<v Speaker 6>had seen some valuation expansion. If you look at the

0:33:14.920 --> 0:33:17.160
<v Speaker 6>S and P five hundred last year, it went from

0:33:17.200 --> 0:33:19.440
<v Speaker 6>about seventeen times about twenty times by the end of

0:33:19.480 --> 0:33:22.320
<v Speaker 6>the year. Of course, if you look one layer underneath

0:33:22.360 --> 0:33:23.920
<v Speaker 6>the surface, if you look at the S and P

0:33:24.160 --> 0:33:28.520
<v Speaker 6>equal weight valuation, that's still actually pretty reasonable about sixteen times.

0:33:28.640 --> 0:33:30.960
<v Speaker 6>And of course what drove the valuation expansion for the

0:33:31.000 --> 0:33:34.960
<v Speaker 6>most part was that magnificent seven technology trades. So that's

0:33:35.000 --> 0:33:36.760
<v Speaker 6>why we think, you know, when we think about the

0:33:36.840 --> 0:33:40.040
<v Speaker 6>year ahead, yes we'll get earnings growth, but the other

0:33:40.080 --> 0:33:42.400
<v Speaker 6>part of the story is where can we get valuation expansion,

0:33:42.440 --> 0:33:45.640
<v Speaker 6>And we do think more scope for valuation expansion is

0:33:45.680 --> 0:33:48.600
<v Speaker 6>in that equal weight the four ninety three stocks that

0:33:48.760 --> 0:33:50.160
<v Speaker 6>may have some catch up to play.

0:33:50.280 --> 0:33:53.280
<v Speaker 1>So you're talking about PEP expansion, you're talking about you're

0:33:53.320 --> 0:33:56.800
<v Speaker 1>modeling out within Somebody's blended four oh one K and

0:33:57.040 --> 0:34:00.720
<v Speaker 1>equity pe multiple expand this year.

0:34:02.240 --> 0:34:04.200
<v Speaker 6>Yeah, we think certain parts of the market we talked

0:34:04.240 --> 0:34:07.800
<v Speaker 6>about value cyclicals, all of those still are pretty reasonably valued.

0:34:07.800 --> 0:34:09.680
<v Speaker 6>Some of them are even priced to you know, this

0:34:09.719 --> 0:34:13.160
<v Speaker 6>recessionary environment that hasn't showed up yet. And once we

0:34:13.239 --> 0:34:15.600
<v Speaker 6>are confirmed that we continue to get at least decent

0:34:15.600 --> 0:34:19.799
<v Speaker 6>growth over the next three quarters, we could see evaluation expansion. Also,

0:34:19.920 --> 0:34:22.520
<v Speaker 6>keep in mind, when the FED is cutting rates and

0:34:22.600 --> 0:34:25.600
<v Speaker 6>interest rates are overtime moving lower, that's better for the

0:34:25.640 --> 0:34:26.799
<v Speaker 6>valuation story as well.

0:34:27.000 --> 0:34:30.239
<v Speaker 1>Mona, thank you, Mona Mahajen, Edward James, you guys just

0:34:30.440 --> 0:34:34.680
<v Speaker 1>really brilliant here on this allocation between bonds in equities.

0:34:39.360 --> 0:34:43.200
<v Speaker 1>I have anticipated this. And Paul Sweeney, how did we

0:34:43.239 --> 0:34:45.880
<v Speaker 1>get these two guys? Guys? This is like it's spring

0:34:46.000 --> 0:34:49.880
<v Speaker 1>training where pitchers catch your show up and everybody's there

0:34:50.440 --> 0:34:53.880
<v Speaker 1>and then the two studs wander out about eight days later.

0:34:55.040 --> 0:34:58.759
<v Speaker 1>Just take ten seconds here, how did you find Ani

0:34:58.880 --> 0:34:59.480
<v Speaker 1>rog Rana?

0:35:01.000 --> 0:35:03.719
<v Speaker 4>We got very fortunate because when you're building a research department,

0:35:04.000 --> 0:35:07.719
<v Speaker 4>arguably you know you have to lead with technology, just

0:35:07.760 --> 0:35:09.759
<v Speaker 4>like the market leads with technology. You have to have

0:35:09.840 --> 0:35:12.760
<v Speaker 4>this technology. Yeah, you have to have a world class

0:35:12.760 --> 0:35:15.520
<v Speaker 4>technology research team. And we're able to do that in

0:35:15.560 --> 0:35:17.600
<v Speaker 4>the way we did that as we hired man Deep

0:35:17.640 --> 0:35:21.280
<v Speaker 4>Singh and onnarag Rana. They both are senior technology channels

0:35:21.280 --> 0:35:24.160
<v Speaker 4>and they built out a global technology research.

0:35:24.080 --> 0:35:26.799
<v Speaker 5>Team for Bloomberg Intelligence. So we appreciate all their hard work.

0:35:26.960 --> 0:35:29.719
<v Speaker 4>And now these two folks are front and center here

0:35:29.719 --> 0:35:32.239
<v Speaker 4>on a day when you've got some big, big tech

0:35:32.360 --> 0:35:35.280
<v Speaker 4>earnings and I'm gonna start, I'm gonna start with Apple,

0:35:35.320 --> 0:35:39.160
<v Speaker 4>So that means I go to anurag Rana, Honoraga. Did

0:35:39.200 --> 0:35:44.200
<v Speaker 4>we learn anything from Apple? And it's positioned in China?

0:35:44.200 --> 0:35:46.480
<v Speaker 4>Because China is twenty percent of their revenue. It looks

0:35:46.520 --> 0:35:48.960
<v Speaker 4>like it's more competitive, It looks like the economy is

0:35:49.000 --> 0:35:50.799
<v Speaker 4>not as strong as they would like to see it.

0:35:51.440 --> 0:35:53.879
<v Speaker 4>What do we learn, if anything, about Apple and their

0:35:53.880 --> 0:35:57.200
<v Speaker 4>growth opportunities in China?

0:35:57.320 --> 0:35:59.000
<v Speaker 11>You know, what we learned is yes, long term, it

0:35:59.080 --> 0:36:00.799
<v Speaker 11>is a big story, but at least for the next

0:36:00.800 --> 0:36:03.040
<v Speaker 11>tweld through eighteen months, you know, you could say that

0:36:03.080 --> 0:36:05.120
<v Speaker 11>things are going to not be as smooth over there

0:36:05.239 --> 0:36:07.719
<v Speaker 11>as they you know, try to figure out how to

0:36:07.719 --> 0:36:10.680
<v Speaker 11>be more competitive give more rebates, try to work with

0:36:10.760 --> 0:36:13.719
<v Speaker 11>more carriers. So Apple has their work cut out for

0:36:13.760 --> 0:36:16.400
<v Speaker 11>them in China, and we are not expecting a rebound

0:36:16.440 --> 0:36:18.120
<v Speaker 11>anytime soon, all right.

0:36:18.160 --> 0:36:20.279
<v Speaker 4>So that's we'll get back to that because there's a

0:36:20.280 --> 0:36:23.600
<v Speaker 4>lot to peel there on a rug on Apple Man Deep.

0:36:23.960 --> 0:36:28.000
<v Speaker 4>We also had Amazon last night, and we also had

0:36:28.200 --> 0:36:30.640
<v Speaker 4>Google last night. Let's start with Google because it kind

0:36:30.680 --> 0:36:33.200
<v Speaker 4>of goes to that. Oh I'm sorry, I met at Yeah,

0:36:33.200 --> 0:36:33.759
<v Speaker 4>thank you very much.

0:36:33.800 --> 0:36:34.839
<v Speaker 5>I met at Facebook.

0:36:34.960 --> 0:36:35.160
<v Speaker 1>Yeah.

0:36:35.440 --> 0:36:35.840
<v Speaker 5>Whatever.

0:36:36.200 --> 0:36:38.680
<v Speaker 4>So what do we learned from Meta last night? Just

0:36:38.719 --> 0:36:41.359
<v Speaker 4>about the digital advertising environment out there?

0:36:42.520 --> 0:36:45.680
<v Speaker 9>Yeah, I mean it was a beat and race quarter

0:36:45.960 --> 0:36:50.320
<v Speaker 9>and that too, you know, with expectations being high. Clearly

0:36:50.600 --> 0:36:54.279
<v Speaker 9>they delivered, and I think the tailwind was coming from

0:36:54.360 --> 0:36:59.040
<v Speaker 9>multiple fronts. So one, the digital ad pricing environment is

0:36:59.040 --> 0:37:03.000
<v Speaker 9>getting better, so that means, you know, online advertisers are

0:37:03.040 --> 0:37:07.040
<v Speaker 9>spending more on ads and that's helping the pricing. And

0:37:07.080 --> 0:37:11.279
<v Speaker 9>the other thing is the relevance of AI for all

0:37:11.320 --> 0:37:14.320
<v Speaker 9>these ad companies. I mean, Meta is definitely the scale

0:37:14.360 --> 0:37:19.080
<v Speaker 9>player and they have invested heavily in AI and that

0:37:19.320 --> 0:37:24.040
<v Speaker 9>has actually helped their ad infrastructure far more than anyone

0:37:24.080 --> 0:37:26.720
<v Speaker 9>else out there. So that showed up in the numbers,

0:37:26.760 --> 0:37:28.960
<v Speaker 9>and you know that that was the reason for the beat.

0:37:29.280 --> 0:37:32.160
<v Speaker 1>I want to dovetail here, guys and folks. This goes

0:37:32.200 --> 0:37:36.360
<v Speaker 1>to just the sheer margin profitability of all these companies

0:37:36.360 --> 0:37:38.840
<v Speaker 1>that mandate and in and run. All you got to

0:37:38.920 --> 0:37:42.719
<v Speaker 1>know is Apple because they're actually making something. Maybe it's

0:37:42.760 --> 0:37:45.600
<v Speaker 1>a little lower ebit don margin, it's like thirty forty

0:37:45.640 --> 0:37:48.239
<v Speaker 1>percent whatever the number is. And the rest of them

0:37:48.239 --> 0:37:51.000
<v Speaker 1>are minting money with a fifty cents every dollar they

0:37:51.000 --> 0:37:54.040
<v Speaker 1>bring in, they're basically bringing fifty cents down to be

0:37:54.080 --> 0:37:58.400
<v Speaker 1>distributed for cash flow. Michael Momison over at Morgan Stanley

0:37:58.440 --> 0:38:02.400
<v Speaker 1>Guys writes up a twenty five essay here on increasing

0:38:02.560 --> 0:38:07.680
<v Speaker 1>returns about what technology is doing is it gets bigger

0:38:07.800 --> 0:38:11.040
<v Speaker 1>and bigger. Mandy, let me start with you. Do you

0:38:11.239 --> 0:38:15.680
<v Speaker 1>just extrapolate out these growth lines? I mean, is Peter

0:38:15.920 --> 0:38:19.200
<v Speaker 1>or Zaga Lazard would say the glide pass here? Are

0:38:19.200 --> 0:38:23.440
<v Speaker 1>they just smooth extrapolations out three years and five years? Man?

0:38:23.480 --> 0:38:23.760
<v Speaker 9>Deep?

0:38:25.000 --> 0:38:25.080
<v Speaker 1>No?

0:38:25.239 --> 0:38:29.080
<v Speaker 9>I mean look at Meta right last year we're talking about,

0:38:29.280 --> 0:38:32.080
<v Speaker 9>you know, whether this company can grow and you know,

0:38:32.239 --> 0:38:37.160
<v Speaker 9>engagement was a concern and they had negative sales growth,

0:38:37.200 --> 0:38:42.000
<v Speaker 9>you know for three quarters, So clearly it's not smooth.

0:38:42.280 --> 0:38:45.480
<v Speaker 9>And every time we have you know a period of

0:38:45.520 --> 0:38:49.080
<v Speaker 9>thirty to forty percent growth, it follows with you know,

0:38:49.239 --> 0:38:52.800
<v Speaker 9>low growth or no growth, especially on the ad side.

0:38:53.120 --> 0:38:56.120
<v Speaker 9>But what they have shown time and again is you know,

0:38:56.360 --> 0:39:00.319
<v Speaker 9>at the online ad business is secular. There is that

0:39:00.360 --> 0:39:03.239
<v Speaker 9>shit right and I would say we're closer to saturation

0:39:03.440 --> 0:39:06.600
<v Speaker 9>than we were probably three years back. So at the

0:39:06.640 --> 0:39:09.239
<v Speaker 9>scale these companies are, it will be hard for them

0:39:09.239 --> 0:39:11.640
<v Speaker 9>to maintain that twenty percent plus grow interog.

0:39:11.719 --> 0:39:13.640
<v Speaker 1>I think I saw Tim Cook, I think over at

0:39:13.680 --> 0:39:18.359
<v Speaker 1>Fox doing the reality the virtual Vision pro reality in

0:39:18.360 --> 0:39:20.960
<v Speaker 1>front of the Apple store in New York. I stood

0:39:20.960 --> 0:39:24.400
<v Speaker 1>in front of that store a lifetime ago with my

0:39:24.520 --> 0:39:27.799
<v Speaker 1>favorite Lawrence Haverty, who come in tech before you got

0:39:27.840 --> 0:39:30.000
<v Speaker 1>you guys were you know, these guys man deep in

0:39:30.040 --> 0:39:33.640
<v Speaker 1>the anagets slide rules going in undergraduate school when Larry

0:39:33.640 --> 0:39:36.800
<v Speaker 1>Haverty was working it up. And guess what Apple was

0:39:36.840 --> 0:39:39.160
<v Speaker 1>going out of business. Then it's going out of business

0:39:39.200 --> 0:39:42.480
<v Speaker 1>now Anti rak Rna. Do you see the innovation trend

0:39:42.520 --> 0:39:46.880
<v Speaker 1>at Apple that will sustain these glide pass sustain this

0:39:47.040 --> 0:39:47.640
<v Speaker 1>cash flow?

0:39:49.160 --> 0:39:51.400
<v Speaker 11>Yeah, I know, I'm not that concerned about Apple in

0:39:51.400 --> 0:39:53.680
<v Speaker 11>the long run, I think they'll be fine. The problem

0:39:53.760 --> 0:39:55.680
<v Speaker 11>is what happens in the next two to three years,

0:39:55.960 --> 0:39:58.760
<v Speaker 11>and that's where some of the problem is just because

0:39:59.040 --> 0:40:01.640
<v Speaker 11>China is not growing. China is the big growth driver

0:40:01.880 --> 0:40:04.200
<v Speaker 11>in the near term. The vision pro is not going

0:40:04.280 --> 0:40:07.440
<v Speaker 11>to do anything to you know, accelerate their growth rates.

0:40:08.000 --> 0:40:10.680
<v Speaker 11>It's really you know, all the phones that they're selling

0:40:10.719 --> 0:40:13.120
<v Speaker 11>in emerging market and China is the big market. So

0:40:13.560 --> 0:40:16.200
<v Speaker 11>for US I, we're not concerned about Apple in the

0:40:16.200 --> 0:40:18.120
<v Speaker 11>long run, but in the short run, I think it's

0:40:18.160 --> 0:40:20.600
<v Speaker 11>going to be very hard for them to grow, you know,

0:40:20.640 --> 0:40:23.800
<v Speaker 11>anything north of five percent unless they throw that Jenai

0:40:23.960 --> 0:40:26.359
<v Speaker 11>stuff that they you know, talked about on the call.

0:40:26.680 --> 0:40:28.759
<v Speaker 11>If anything cool comes out of that in the next

0:40:28.760 --> 0:40:31.000
<v Speaker 11>six to eight months, then I'm going to be wrong.

0:40:31.160 --> 0:40:34.799
<v Speaker 1>Paul iPhone GPT. It just means you can order take

0:40:34.840 --> 0:40:37.759
<v Speaker 1>out faster and Rod Royn i' man Deep Singh. There's

0:40:37.760 --> 0:40:41.120
<v Speaker 1>Bloomberg Intelligence. We continue with us here commercial free this

0:40:41.160 --> 0:40:41.680
<v Speaker 1>half hour.

0:40:42.040 --> 0:40:45.400
<v Speaker 4>All right, Ana, rag my good friend Laura Martin overt

0:40:45.800 --> 0:40:48.239
<v Speaker 4>need Aman Company. She's hat the piece of research which

0:40:48.239 --> 0:40:52.719
<v Speaker 4>I think is really interesting. Google Meta Amazon. On their

0:40:52.719 --> 0:40:57.440
<v Speaker 4>conference calls, they mentioned either AI or generative AI like

0:40:58.239 --> 0:41:02.040
<v Speaker 4>fifty sixty times each Apple like none at all?

0:41:02.200 --> 0:41:03.400
<v Speaker 5>Here is Apple?

0:41:04.120 --> 0:41:07.239
<v Speaker 4>What are they doing or not doing with AI? Are

0:41:07.239 --> 0:41:09.120
<v Speaker 4>they not kind of getting that buzz?

0:41:10.719 --> 0:41:13.040
<v Speaker 11>I think they were caught, you could say, off the

0:41:13.040 --> 0:41:16.319
<v Speaker 11>guard a couple of years ago when chat GPT came out.

0:41:16.480 --> 0:41:19.000
<v Speaker 11>We've been very stronger. I think they are. They sat

0:41:19.040 --> 0:41:20.440
<v Speaker 11>on the call that they're going to have an event

0:41:20.600 --> 0:41:23.360
<v Speaker 11>sometime later this year. And if they are able to

0:41:23.400 --> 0:41:25.920
<v Speaker 11>release some tools or you know, some cool features in

0:41:25.960 --> 0:41:29.920
<v Speaker 11>the phone that allows them to actually capitalize on some

0:41:29.960 --> 0:41:32.520
<v Speaker 11>of this buzz, then what's going to happen is if

0:41:32.560 --> 0:41:36.280
<v Speaker 11>and if, if the iPhone sixteen has those features embedded

0:41:36.280 --> 0:41:38.920
<v Speaker 11>in them, then you can actually create a new refresh

0:41:38.960 --> 0:41:41.640
<v Speaker 11>cycle that we have been waiting for. Remember we've been

0:41:41.640 --> 0:41:43.759
<v Speaker 11>talking about the extension of the restress cycle for the

0:41:43.840 --> 0:41:46.720
<v Speaker 11>last three to five years. And if if that happens,

0:41:46.840 --> 0:41:49.480
<v Speaker 11>and it's a very very big if, then iPhone sixteen

0:41:49.560 --> 0:41:52.640
<v Speaker 11>can truly you know, put a dentse to my thesis

0:41:52.640 --> 0:41:55.080
<v Speaker 11>of slow growth and we see, you know, a big

0:41:55.160 --> 0:41:55.879
<v Speaker 11>number next year.

0:41:55.960 --> 0:41:56.360
<v Speaker 5>Interesting.

0:41:56.560 --> 0:41:59.520
<v Speaker 4>All right, So Mandy, just going on the AI theme here.

0:41:59.560 --> 0:42:02.600
<v Speaker 4>I know you and the research team at Bloomberg Intelligence

0:42:02.600 --> 0:42:04.879
<v Speaker 4>have done a lot of research on this. You guys

0:42:04.920 --> 0:42:07.640
<v Speaker 4>have a big definitive report out on AI. I guess

0:42:07.719 --> 0:42:10.239
<v Speaker 4>my question is do we have a sensor how much

0:42:10.280 --> 0:42:13.480
<v Speaker 4>of this AI I'm using air quotes for those on

0:42:13.719 --> 0:42:18.200
<v Speaker 4>the radio. Tech spending is incremental or is it just

0:42:18.640 --> 0:42:22.160
<v Speaker 4>putting another name on usual tech spending on hardware and software.

0:42:23.360 --> 0:42:25.839
<v Speaker 9>I mean, based on what we are seeing right now,

0:42:25.880 --> 0:42:28.279
<v Speaker 9>you know, with the semi company, especially the likes of

0:42:28.440 --> 0:42:32.719
<v Speaker 9>Nvidia and amb it sounds like, you know, this spending

0:42:33.000 --> 0:42:37.320
<v Speaker 9>is incremental. And yes, companies are slowing down, they're spending

0:42:37.480 --> 0:42:41.520
<v Speaker 9>on traditional servers, so there is some market share shift

0:42:41.560 --> 0:42:45.040
<v Speaker 9>going on as well. But clearly, you know, I would

0:42:45.120 --> 0:42:48.560
<v Speaker 9>talk about above trend growth for the next two three

0:42:48.600 --> 0:42:51.120
<v Speaker 9>years and that's where our you know, one point three

0:42:51.239 --> 0:42:55.400
<v Speaker 9>trillion number for twenty thirty two comes from. Half of

0:42:55.440 --> 0:43:01.840
<v Speaker 9>that is spending on data centers, hardware, real changing the infrastructure,

0:43:02.120 --> 0:43:04.920
<v Speaker 9>and you know the software part will follow as we

0:43:04.960 --> 0:43:10.400
<v Speaker 9>are seeing with the hyperscalers, Microsoft, Amazon and Google also benefiting,

0:43:10.440 --> 0:43:14.080
<v Speaker 9>so their growth rates should go up as well. But clearly,

0:43:14.160 --> 0:43:16.959
<v Speaker 9>you know there is incremental spending around are.

0:43:17.360 --> 0:43:19.880
<v Speaker 1>When you talk to the people, is it within the

0:43:19.920 --> 0:43:22.239
<v Speaker 1>culture and I'm reading I haven't read the whole book yet,

0:43:22.280 --> 0:43:25.200
<v Speaker 1>I'm actually reading every word of it. Sacha Ndella's one

0:43:25.239 --> 0:43:29.799
<v Speaker 1>volume biography is spectacular about the courage he had coming

0:43:29.840 --> 0:43:32.680
<v Speaker 1>out of southern India, and there's too much cricket talk

0:43:32.719 --> 0:43:35.279
<v Speaker 1>in it. That's the only problem I have. When you

0:43:35.320 --> 0:43:40.440
<v Speaker 1>guys talk to the cultural the Double's operational research people,

0:43:41.040 --> 0:43:44.120
<v Speaker 1>do they believe in the financial profitability of what they're

0:43:44.160 --> 0:43:47.880
<v Speaker 1>living every day? Mandy, the guys like you and anaerog

0:43:48.040 --> 0:43:52.680
<v Speaker 1>Mandeep saying, do they believe in the link over to

0:43:53.000 --> 0:43:55.160
<v Speaker 1>profitability that we're observing right now?

0:43:57.000 --> 0:44:01.040
<v Speaker 9>Yeah, I mean, I think especially with a company like Microsoft,

0:44:01.120 --> 0:44:03.839
<v Speaker 9>you can see that you know, they have priced their

0:44:03.920 --> 0:44:06.680
<v Speaker 9>services in a way where a co pilot they are

0:44:06.800 --> 0:44:11.480
<v Speaker 9>charging an additional twenty dollars subscription. So look, they are

0:44:11.560 --> 0:44:16.040
<v Speaker 9>making a big investment and it is you know, to

0:44:16.120 --> 0:44:19.520
<v Speaker 9>acquire customers to drive that stickiness. But I think it

0:44:19.560 --> 0:44:20.240
<v Speaker 9>will be profitable.

0:44:20.280 --> 0:44:22.920
<v Speaker 1>Okay, at first principles here, let's get right back to basics.

0:44:22.960 --> 0:44:25.240
<v Speaker 1>Lisa Matail is going to be with her daughter this weekend,

0:44:25.600 --> 0:44:28.360
<v Speaker 1>and Lisa wants her daughter to be brilliant. So Lisa's

0:44:28.360 --> 0:44:30.759
<v Speaker 1>going to say to her daughter, Dear, let's sign up

0:44:30.760 --> 0:44:33.600
<v Speaker 1>for co pilot, Mandy. When I sign up for co

0:44:33.760 --> 0:44:37.440
<v Speaker 1>pilot GPT, what a God's name do I get?

0:44:38.680 --> 0:44:38.960
<v Speaker 12>Well?

0:44:39.080 --> 0:44:42.480
<v Speaker 9>So it brings productivity, right, and at the end of

0:44:42.600 --> 0:44:46.040
<v Speaker 9>the day, if we are more productive in our jobs,

0:44:46.080 --> 0:44:48.799
<v Speaker 9>if we can get rid of the mundane things that

0:44:48.880 --> 0:44:51.560
<v Speaker 9>we do in our day to day jobs that the redundant. Think,

0:44:52.440 --> 0:44:56.560
<v Speaker 9>I mean, I think that's what drives productivity and efficiency.

0:44:56.600 --> 0:44:58.560
<v Speaker 9>And we know, I mean, look at how far we

0:44:58.600 --> 0:45:02.839
<v Speaker 9>have come with PCs and Word and Excel. What kind

0:45:02.880 --> 0:45:06.000
<v Speaker 9>of productivity it gives you. So this is like taking

0:45:06.040 --> 0:45:09.080
<v Speaker 9>one step further in terms of what are the redundant

0:45:09.080 --> 0:45:11.240
<v Speaker 9>things that you do in Word or Excel.

0:45:11.440 --> 0:45:13.200
<v Speaker 1>So, Paul, you're going to ramp up You're going to

0:45:13.239 --> 0:45:15.560
<v Speaker 1>ramp up copilot, sure, and it's going to make you

0:45:15.600 --> 0:45:19.560
<v Speaker 1>more efficient in ordering the marginal park role.

0:45:19.800 --> 0:45:20.279
<v Speaker 5>That's right.

0:45:20.640 --> 0:45:21.600
<v Speaker 1>The Jersey Shore this.

0:45:21.520 --> 0:45:25.839
<v Speaker 4>Summery on the Grill and Jersey Shore, an Rod talk

0:45:25.840 --> 0:45:28.360
<v Speaker 4>to us about just kind of your sense of just

0:45:28.480 --> 0:45:31.439
<v Speaker 4>overall tech spending here. I know it's a good question.

0:45:31.520 --> 0:45:33.239
<v Speaker 4>You guys have talked about that question. The rate of

0:45:33.320 --> 0:45:36.120
<v Speaker 4>growth slowing, do you expect a reacceleration here.

0:45:37.440 --> 0:45:40.160
<v Speaker 11>Oh yes, Actually, I've talked about this quite a bit,

0:45:40.239 --> 0:45:43.920
<v Speaker 11>so you know, we did a survey back in November

0:45:43.920 --> 0:45:46.319
<v Speaker 11>December and we really got some really good results out

0:45:46.320 --> 0:45:48.520
<v Speaker 11>of it. We think this year is going to be

0:45:48.560 --> 0:45:51.320
<v Speaker 11>the first year of rebound after two years of hunted spending.

0:45:51.600 --> 0:45:53.799
<v Speaker 11>You know, we've talked about cloud, for example, quite a bit.

0:45:54.440 --> 0:45:58.000
<v Speaker 11>Amazon's cloud commitments were just released this morning. They're up

0:45:58.080 --> 0:46:00.920
<v Speaker 11>forty one percent, so that's a mass of acceleration from

0:46:01.000 --> 0:46:03.680
<v Speaker 11>last quarter over the next twelve months. We do see,

0:46:04.000 --> 0:46:06.760
<v Speaker 11>We do expect, you know, sales growth rates for almost

0:46:07.000 --> 0:46:10.839
<v Speaker 11>all major categories in cloud to pick up, perhaps more

0:46:11.120 --> 0:46:13.080
<v Speaker 11>at a pasta rates more in the second half than

0:46:13.120 --> 0:46:15.600
<v Speaker 11>the perst half. And I think that puts it into

0:46:15.719 --> 0:46:19.040
<v Speaker 11>us into a very good twenty twenty five because if

0:46:19.040 --> 0:46:22.280
<v Speaker 11>you have strong bookings sometime this year, they can translate

0:46:22.320 --> 0:46:24.279
<v Speaker 11>into much faster revenue growth next year.

0:46:24.400 --> 0:46:26.160
<v Speaker 1>I mean, man, if you don't give me any couch time,

0:46:26.200 --> 0:46:28.080
<v Speaker 1>what I do, Folks when I decompress her as I

0:46:28.120 --> 0:46:30.480
<v Speaker 1>go up to our acclaimed food court and I sit

0:46:30.560 --> 0:46:32.960
<v Speaker 1>on the couch. You know, the food court in London

0:46:33.120 --> 0:46:35.480
<v Speaker 1>is better than here. That's saying, you know, and the

0:46:35.680 --> 0:46:38.680
<v Speaker 1>Washington is the best Washington's the best food court. We haven't,

0:46:39.120 --> 0:46:40.680
<v Speaker 1>but I'm up with the food court. I'm putting down

0:46:40.719 --> 0:46:43.520
<v Speaker 1>the cheese. It's and you know, you know, I'm having fun.

0:46:43.520 --> 0:46:45.839
<v Speaker 1>An rog gives me couch time. I never get any

0:46:45.880 --> 0:46:50.759
<v Speaker 1>couch time now. So Mandy, my question to you that

0:46:50.800 --> 0:46:54.200
<v Speaker 1>i'd ask you sitting on a couch is this stuff's

0:46:54.280 --> 0:47:01.319
<v Speaker 1>a large part of our diversified portfolios, index funds or

0:47:01.480 --> 0:47:05.120
<v Speaker 1>active managers that we have. Do we own too much

0:47:05.400 --> 0:47:09.000
<v Speaker 1>meta the moon shot? That is today from where you

0:47:09.080 --> 0:47:13.960
<v Speaker 1>sit in our conservative money, do we own too much tech?

0:47:15.560 --> 0:47:19.520
<v Speaker 9>I mean, look, these companies, the six tech companies in

0:47:19.560 --> 0:47:23.279
<v Speaker 9>the Magnificent seven. They are wonderful businesses. There is no

0:47:23.440 --> 0:47:27.000
<v Speaker 9>doubt about you know, how good they are at scale

0:47:27.560 --> 0:47:30.560
<v Speaker 9>and how they keep growing, you know, year after year,

0:47:30.760 --> 0:47:34.160
<v Speaker 9>and they are very profitable. So clearly you know they

0:47:34.200 --> 0:47:37.360
<v Speaker 9>have an outsized influence in our lives and there is

0:47:37.400 --> 0:47:40.040
<v Speaker 9>a good reason, you know, to be proud of them,

0:47:40.200 --> 0:47:43.600
<v Speaker 9>as you know American companies that have a global presence,

0:47:43.680 --> 0:47:47.440
<v Speaker 9>and that's why you know they will keep delivering. The

0:47:47.520 --> 0:47:51.000
<v Speaker 9>question remains what is the right valuation? And that's where

0:47:51.080 --> 0:47:54.120
<v Speaker 9>you know you look at a company trading at thirty

0:47:54.640 --> 0:47:57.360
<v Speaker 9>thirty five times earnings, and you have to ask yourself

0:47:58.040 --> 0:48:00.600
<v Speaker 9>how much good news is priced in? And yes, it's

0:48:00.640 --> 0:48:04.600
<v Speaker 9>a phenomenal business. It's growing at a great pace. But

0:48:04.719 --> 0:48:07.920
<v Speaker 9>then there is a price that you pay as a shareholder.

0:48:08.080 --> 0:48:12.400
<v Speaker 9>And I think after a while, a lot of the

0:48:12.400 --> 0:48:15.359
<v Speaker 9>growth is pricing and it becomes very crowded. And that's

0:48:15.960 --> 0:48:16.719
<v Speaker 9>what you have to ask.

0:48:17.000 --> 0:48:18.960
<v Speaker 1>I mean, Paul, I know your shopping this weekend. The

0:48:19.000 --> 0:48:21.600
<v Speaker 1>price you pay, You're gonna be over at the Apple

0:48:21.600 --> 0:48:24.360
<v Speaker 1>Store like Tim Cook today And the answer is you

0:48:24.400 --> 0:48:26.320
<v Speaker 1>got to go for the Vision Pro ye. This is

0:48:26.360 --> 0:48:27.600
<v Speaker 1>just a question about.

0:48:27.400 --> 0:48:31.239
<v Speaker 4>It, absolutely, Apple CEO Tim Cook, he opened the flagship

0:48:31.320 --> 0:48:34.480
<v Speaker 4>Fifth Avenue Apple Store today's greeting customers.

0:48:35.000 --> 0:48:38.640
<v Speaker 5>Why it's Vision Pro release day? How about that?

0:48:39.000 --> 0:48:41.759
<v Speaker 4>I'm not sure Vision Pro is ana rog Are you

0:48:41.760 --> 0:48:43.880
<v Speaker 4>going to rush out to the Apple Store in the

0:48:43.920 --> 0:48:48.080
<v Speaker 4>Greater Chicago area and buy your Vision Pro today.

0:48:48.280 --> 0:48:49.799
<v Speaker 11>I'm going to go test it out, but I'm not

0:48:49.800 --> 0:48:52.400
<v Speaker 11>going to buy it. It is too much, too expensive

0:48:52.400 --> 0:48:53.839
<v Speaker 11>for me. But I'm going to go play it ound

0:48:53.880 --> 0:48:55.600
<v Speaker 11>with it. I'm going to ask people what they think

0:48:55.600 --> 0:48:56.080
<v Speaker 11>about it.

0:48:56.520 --> 0:48:59.279
<v Speaker 5>But all right, so what does it cost? Do we

0:48:59.320 --> 0:49:00.440
<v Speaker 5>know the price of the thing.

0:49:01.400 --> 0:49:02.480
<v Speaker 11>Three five hundred.

0:49:02.560 --> 0:49:04.239
<v Speaker 1>Oh, I mean who's.

0:49:03.920 --> 0:49:06.719
<v Speaker 5>Buying this thing? Is it? Is it just the gamers?

0:49:06.960 --> 0:49:11.680
<v Speaker 1>Or Okay, what did you learn about the six hundred apps? Seriously?

0:49:11.760 --> 0:49:14.160
<v Speaker 1>Ani Rog? I mean, Mandy, you know is gonna buy it?

0:49:14.200 --> 0:49:17.000
<v Speaker 1>You're not, Ana Rog? But of the six hundred apps, like,

0:49:17.040 --> 0:49:20.440
<v Speaker 1>what's the app that will make people spend that money?

0:49:20.480 --> 0:49:22.400
<v Speaker 1>Make businesses spend that money?

0:49:23.680 --> 0:49:23.879
<v Speaker 9>See?

0:49:23.920 --> 0:49:26.359
<v Speaker 11>For consumer it's really gaming. I mean that's really where

0:49:26.360 --> 0:49:28.279
<v Speaker 11>it boils out to Disney. You know, you can watch

0:49:28.280 --> 0:49:31.400
<v Speaker 11>a Disney movie. They have really talked about it. But

0:49:31.480 --> 0:49:34.640
<v Speaker 11>I personally think the commercial use is probably far better

0:49:34.960 --> 0:49:37.400
<v Speaker 11>because if you have an architect, if you look at engineering,

0:49:37.800 --> 0:49:40.400
<v Speaker 11>you know, those kinds of things. I think, you know,

0:49:40.719 --> 0:49:44.560
<v Speaker 11>makes a lot of tense, but but but it's not.

0:49:44.719 --> 0:49:46.560
<v Speaker 11>This is not a game changer. You know, you sell

0:49:46.600 --> 0:49:49.319
<v Speaker 11>one million units, you make three million dollars, that's three

0:49:49.360 --> 0:49:52.080
<v Speaker 11>point three point five that's nothing, right, appen, Let's wrap.

0:49:51.880 --> 0:49:54.920
<v Speaker 1>It up, Mandy. If you've got the Vision Pro thing on,

0:49:55.680 --> 0:49:58.080
<v Speaker 1>are you going to synergize here? And are you gonna

0:49:58.080 --> 0:50:00.800
<v Speaker 1>have Microsoft Activision am I I'm going to be playing

0:50:00.840 --> 0:50:03.360
<v Speaker 1>Diablo for on my Apple Vision Pro.

0:50:05.080 --> 0:50:08.440
<v Speaker 9>Well, so I think again, it's it's a cool device.

0:50:08.640 --> 0:50:12.120
<v Speaker 9>My problem with a VR headsets and with Vision Pro

0:50:12.719 --> 0:50:15.120
<v Speaker 9>most likely is going to be how much time can

0:50:15.160 --> 0:50:19.200
<v Speaker 9>I wear it for it? Because these are still bulky like.

0:50:19.320 --> 0:50:23.040
<v Speaker 9>You can use them for entertainment, but I just can't imagine,

0:50:23.040 --> 0:50:25.400
<v Speaker 9>you know, putting the headset for two three hours. So

0:50:26.040 --> 0:50:29.520
<v Speaker 9>it gives you that immersive experience, but I still think,

0:50:29.960 --> 0:50:31.839
<v Speaker 9>you know, it's too heavy for me to use.

0:50:31.960 --> 0:50:35.400
<v Speaker 1>You're on a Bloomberg terminal. Go to Bloomberg Intelligence required

0:50:35.440 --> 0:50:39.480
<v Speaker 1>read and Rana man Deep Singh after this tech juggernaut

0:50:40.280 --> 0:50:56.160
<v Speaker 1>a weakened with our newspapers, Lisa Mattello, Lisa, what do

0:50:56.160 --> 0:50:56.600
<v Speaker 1>you start with?

0:50:56.760 --> 0:50:57.120
<v Speaker 9>All right?

0:50:57.280 --> 0:50:59.960
<v Speaker 12>I remember Royal Cribbing came out with figures yesterday, but

0:51:00.239 --> 0:51:02.960
<v Speaker 12>now they're big news. Is this new ship Icon of

0:51:03.000 --> 0:51:06.479
<v Speaker 12>Disease monstrous? It's a monstrous I know you're not into cruising, Paul,

0:51:06.600 --> 0:51:09.360
<v Speaker 12>I will be soon, okay, sir. So maybe here we

0:51:09.400 --> 0:51:13.240
<v Speaker 12>go three hundred and forty five per person per day, okay,

0:51:13.239 --> 0:51:16.600
<v Speaker 12>But here's the thing. It's this multi level ultimate family townhouse.

0:51:16.920 --> 0:51:18.479
<v Speaker 12>It's going to run you an average of one hundred

0:51:18.520 --> 0:51:19.479
<v Speaker 12>thousand dollars a week.

0:51:20.320 --> 0:51:21.440
<v Speaker 5>Well, I think that you.

0:51:21.440 --> 0:51:24.239
<v Speaker 12>Had of your league two bedrooms more than twenty five

0:51:24.280 --> 0:51:27.160
<v Speaker 12>thousand square feet. That's like bigger than the average apartment

0:51:27.360 --> 0:51:31.360
<v Speaker 12>in most places. It has a lot of balconies, multi slides, lounges,

0:51:31.400 --> 0:51:34.520
<v Speaker 12>hot tubs, game rooms. But here's the point, it's reserved

0:51:34.560 --> 0:51:36.319
<v Speaker 12>for most of twenty twenty four.

0:51:36.760 --> 0:51:38.440
<v Speaker 5>Weird are spending.

0:51:38.280 --> 0:51:40.279
<v Speaker 4>Yep, we're down in Aruba, just a couple weeks to

0:51:40.320 --> 0:51:42.640
<v Speaker 4>go in every day. The cruise ships are just flying

0:51:42.680 --> 0:51:44.960
<v Speaker 4>in there. So the cruising biz is back baby.

0:51:45.080 --> 0:51:46.160
<v Speaker 5>Oh yeah, that's one.

0:51:46.040 --> 0:51:49.000
<v Speaker 1>Of the most important things. Ellen Zenner said today. She said, look,

0:51:49.040 --> 0:51:50.880
<v Speaker 1>it is a bifurcated America.

0:51:51.040 --> 0:51:53.719
<v Speaker 5>Yep. And that's not good. I mean that's it's not good.

0:51:53.800 --> 0:51:56.840
<v Speaker 5>That's not good. We are we read them the middle class.

0:51:57.239 --> 0:51:59.360
<v Speaker 1>Next, Lisa Potato, Yes.

0:51:59.200 --> 0:52:01.680
<v Speaker 12>This one's for you. It's a little dog theme here

0:52:01.680 --> 0:52:03.880
<v Speaker 12>we have going. Okay, so this is from the Times.

0:52:03.880 --> 0:52:06.840
<v Speaker 12>There's a study of about six hundred thousand British dogs, okay,

0:52:06.840 --> 0:52:08.960
<v Speaker 12>from more than one hundred and fifty breeds. It turns

0:52:08.960 --> 0:52:12.959
<v Speaker 12>out small dogs with prominent noses they live longer, oh yeah,

0:52:13.000 --> 0:52:14.960
<v Speaker 12>than the bigger flat faced dog.

0:52:15.239 --> 0:52:15.439
<v Speaker 9>Going.

0:52:15.600 --> 0:52:18.320
<v Speaker 12>So like the French bulldog for example, it has the flat.

0:52:18.120 --> 0:52:19.640
<v Speaker 5>Which is the most popular breath these days.

0:52:19.719 --> 0:52:21.920
<v Speaker 12>Yes, it is, it is, it is. But you know

0:52:22.040 --> 0:52:25.279
<v Speaker 12>the short snouts, they have respiratory problems. They can get

0:52:25.320 --> 0:52:28.200
<v Speaker 12>heat stroke things like that. So that's the problem with

0:52:28.280 --> 0:52:28.840
<v Speaker 12>those dogs.

0:52:28.880 --> 0:52:31.200
<v Speaker 1>Do you know my little one, the vet that I

0:52:31.239 --> 0:52:34.359
<v Speaker 1>go to in New York, she's absolutely lovely. And what's

0:52:34.400 --> 0:52:37.480
<v Speaker 1>great about her it's the horse Man Vetinary school. You

0:52:37.560 --> 0:52:40.080
<v Speaker 1>make the check right out to her kids prep schools. Yes,

0:52:40.680 --> 0:52:42.359
<v Speaker 1>you know. You go in and it's like you think

0:52:42.400 --> 0:52:44.240
<v Speaker 1>you're going to spend two hundred and eighty two dollars

0:52:44.280 --> 0:52:46.880
<v Speaker 1>and it's like nine hundred and fourteen dollars. You just

0:52:46.920 --> 0:52:49.239
<v Speaker 1>write it out to horse Man. I mean, she's just

0:52:49.280 --> 0:52:51.959
<v Speaker 1>the time safe. It just write it out Director horse Man.

0:52:52.120 --> 0:52:55.879
<v Speaker 1>My vetwent apoplectic on this at one point, and she said, yeah,

0:52:55.880 --> 0:52:59.240
<v Speaker 1>there is a bread issue here. And I'm very pleased

0:52:59.280 --> 0:53:03.040
<v Speaker 1>to say that. Bill and kennel fere Cotons, which are

0:53:03.080 --> 0:53:06.799
<v Speaker 1>in their own way a little twisted, but they have

0:53:07.040 --> 0:53:10.560
<v Speaker 1>like the normal nose and that's better. It's like it's like,

0:53:10.640 --> 0:53:11.560
<v Speaker 1>actually a big.

0:53:11.400 --> 0:53:15.360
<v Speaker 12>Deal in dog I did not see today who knew?

0:53:14.880 --> 0:53:18.520
<v Speaker 12>Who knew? And female dogs live longer than male dogs.

0:53:18.520 --> 0:53:19.480
<v Speaker 5>If really know that as well?

0:53:19.560 --> 0:53:20.280
<v Speaker 9>Yeah, make sense.

0:53:20.600 --> 0:53:25.439
<v Speaker 1>I think that's true of other humans. Well, missus Keane

0:53:25.440 --> 0:53:28.960
<v Speaker 1>asked me with one foot in the casket.

0:53:28.640 --> 0:53:31.520
<v Speaker 10>Do you call Ken? Prutt wants to ask why do

0:53:31.640 --> 0:53:34.960
<v Speaker 10>men die before their wives? His answer, because they want to?

0:53:36.640 --> 0:53:37.480
<v Speaker 10>That was just Ken.

0:53:37.600 --> 0:53:38.320
<v Speaker 9>What do you go?

0:53:39.360 --> 0:53:43.080
<v Speaker 1>John Tucker helping his ye it providing congestion in the studio.

0:53:44.440 --> 0:53:47.479
<v Speaker 12>The last from the journal. This is about twenty something

0:53:47.520 --> 0:53:51.000
<v Speaker 12>year olds. They're no longer hanging out like how Matteo

0:53:51.120 --> 0:53:52.200
<v Speaker 12>used to do back in the day.

0:53:52.320 --> 0:53:52.879
<v Speaker 9>You go to the.

0:53:52.800 --> 0:53:55.400
<v Speaker 12>Clubs delayed at night. No, that's not they're in bed

0:53:55.680 --> 0:53:56.840
<v Speaker 12>by nine pm.

0:53:57.640 --> 0:53:58.359
<v Speaker 1>Huge.

0:53:58.520 --> 0:54:02.160
<v Speaker 12>Yeah, it's the the link between sleep and better health.

0:54:02.239 --> 0:54:05.000
<v Speaker 12>They say they believe they're not going out.

0:54:05.280 --> 0:54:07.720
<v Speaker 1>Well, I saw this week the first time Jim Carrey

0:54:07.800 --> 0:54:11.040
<v Speaker 1>was ever on TV. It was a Johnny Carson. Everyone

0:54:11.040 --> 0:54:13.360
<v Speaker 1>should see it on YouTube. Jim Carrey as a child

0:54:13.800 --> 0:54:16.800
<v Speaker 1>and it's all there. Everything he became is there, absolutely

0:54:16.880 --> 0:54:21.720
<v Speaker 1>mesmerizing twenty minutes of YouTube video. Paul in the media business,

0:54:21.760 --> 0:54:24.440
<v Speaker 1>we stayed up to eleven thirty to watch Johnny Carson

0:54:24.520 --> 0:54:26.240
<v Speaker 1>shore every Now. Why did this stop?

0:54:26.680 --> 0:54:29.440
<v Speaker 4>Well, no, that late night viewing. Late night viewing is

0:54:29.440 --> 0:54:31.640
<v Speaker 4>still pretty good. Late night TV is still important. They

0:54:31.680 --> 0:54:33.319
<v Speaker 4>still invest a lot, They still make a lot of

0:54:33.320 --> 0:54:36.040
<v Speaker 4>money in that late late night block there, so it's

0:54:36.040 --> 0:54:40.080
<v Speaker 4>still important for television. But I guess it's not. According

0:54:40.080 --> 0:54:41.759
<v Speaker 4>to the Wall Street Journal, the days of hanging out

0:54:41.800 --> 0:54:44.080
<v Speaker 4>late for people in their twenties is over.

0:54:44.160 --> 0:54:45.520
<v Speaker 5>I'm trying to think about my kids, But.

0:54:45.480 --> 0:54:48.040
<v Speaker 12>Do you think about businesses are changing? Like businesses are

0:54:48.040 --> 0:54:51.600
<v Speaker 12>doing these matinee parties that started like five pm. That's

0:54:51.640 --> 0:54:52.399
<v Speaker 12>what they're starting to say.

0:54:52.440 --> 0:54:56.759
<v Speaker 5>For me, that's my day's happy think do you guys think?

0:54:56.920 --> 0:54:59.359
<v Speaker 1>Seriously? John Tucker jump in here as well. Do you

0:54:59.360 --> 0:55:02.279
<v Speaker 1>guys think because his kids are ill mannered? I mean,

0:55:02.320 --> 0:55:04.080
<v Speaker 1>it's a it's a better picture of what's going on.

0:55:04.680 --> 0:55:07.719
<v Speaker 1>Do you think it's the pandemic? My basic take is

0:55:07.760 --> 0:55:11.919
<v Speaker 1>the ramifications of COVID are with us far more now

0:55:11.960 --> 0:55:14.040
<v Speaker 1>than we're living, you know, day to day with our kids,

0:55:14.360 --> 0:55:15.280
<v Speaker 1>the dogs, everyone.

0:55:15.320 --> 0:55:17.239
<v Speaker 12>What do you think, Lisa, that's a good point. I

0:55:17.239 --> 0:55:18.879
<v Speaker 12>didn't even think of it about it that way.

0:55:18.960 --> 0:55:21.120
<v Speaker 1>We went to bed at nine pm with COVID because

0:55:21.680 --> 0:55:24.279
<v Speaker 1>there's nothing to do. John, what do you think now?

0:55:24.440 --> 0:55:26.839
<v Speaker 10>I was looking at my easy pass receipts because they

0:55:26.880 --> 0:55:29.560
<v Speaker 10>had to pay it this morning. And I'm like, what's

0:55:29.600 --> 0:55:33.480
<v Speaker 10>this one three am on the Garden State Parkway. I'm like,

0:55:34.080 --> 0:55:37.440
<v Speaker 10>that's my daughter and I'm like freaking out, and then

0:55:37.440 --> 0:55:42.399
<v Speaker 10>I realized, oh no, it's me. Now they're no, they're

0:55:42.400 --> 0:55:45.040
<v Speaker 10>not in better early. No, this does not apply to

0:55:45.080 --> 0:55:46.959
<v Speaker 10>my children, not years.

0:55:47.560 --> 0:55:49.239
<v Speaker 5>But they're like going to bet at nine p not

0:55:49.280 --> 0:55:49.640
<v Speaker 5>my son.

0:55:50.080 --> 0:55:53.279
<v Speaker 1>This is a Bloomberg Surveillance podcast, bringing you the best

0:55:53.320 --> 0:55:58.080
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0:55:58.160 --> 0:56:02.200
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0:56:02.320 --> 0:56:06.359
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