WEBVTT - Market Rally and Warnings

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

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at seven am Eastern

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<v Speaker 1>us live on YouTube.

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<v Speaker 2>Alicia Levine is far too young to remember this. Your

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<v Speaker 2>mother would throw at you a book called The Intelligent Investor.

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<v Speaker 2>And one of the great themes of The Intelligent Investor

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<v Speaker 2>is if you're not in the game, you don't get

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<v Speaker 2>to win. And there's this whole modern disease of market

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<v Speaker 2>timing where that if you're not in the game, you

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<v Speaker 2>don't get to win. She's b Andy. Can we just say,

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<v Speaker 2>Paul Jeffrey you Elisia Levine Solidine, It's like the mathematics

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<v Speaker 2>involved your folks is prodigious, Alicia, what's the damage to

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<v Speaker 2>people who aren't enjoying this bull market?

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<v Speaker 3>So like permanent, it's not permanent, but you can't make

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<v Speaker 3>up what you've lost. One of the most important statistics

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<v Speaker 3>is that the best month of the year always follows

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<v Speaker 3>the worst month of the year, and so we show

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<v Speaker 3>our clients in various ways, like you try to time

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<v Speaker 3>the market. You're likely to miss that massive rally like

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<v Speaker 3>we had yesterday because you were so fearful of what

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<v Speaker 3>was going on. From June and July, the favorites were underperforming,

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<v Speaker 3>Tech was over. I mean essentially, if you go back

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<v Speaker 3>thirty years and you missed the best month of the year,

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<v Speaker 3>you're underperformed by five hundred bases on.

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<v Speaker 2>I go to a Capitol group out in Los Angeles

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<v Speaker 2>who've done great studies on this. You got to be

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<v Speaker 2>in the market. We all know that. But you were

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<v Speaker 2>weaned to Chicago, the land of Fama and French where

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<v Speaker 2>you off to play.

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<v Speaker 3>You discuss that, discuss as my three male children would

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<v Speaker 3>tell me, you miss all the shots you don't take,

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<v Speaker 3>and I think it there is there. As you say

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<v Speaker 3>it's a disease of trying to time the market, I'll

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<v Speaker 3>say this, people can be pretty good at selling more

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<v Speaker 3>or less near Like you know, local peaks right well,

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<v Speaker 3>you can see deterioration. You can see it per set

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<v Speaker 3>of SMP advanced to client linzing. You can kind of

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<v Speaker 3>see you could be headed into a nice little sell

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<v Speaker 3>off or consolidation phase wherever you want to call it,

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<v Speaker 3>and then you never get back in and that's the

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<v Speaker 3>issue because the lows are ugly. If you think about

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<v Speaker 3>last Thursday, it just looked like the apocalypse. Actually it

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<v Speaker 3>turned out to be a clearing event, and you know,

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<v Speaker 3>Citadel did great on that, but I'm sure a lot

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<v Speaker 3>of people were selling right into it. And it's just

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<v Speaker 3>it's too emotional. It doesn't matter how many years you've

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<v Speaker 3>been doing this, but people fall for it. The same time.

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<v Speaker 3>You're not going to save yourself anything. You're going to

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<v Speaker 3>damage your forward returns. The only time you really want

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<v Speaker 3>to think about next twelve months possibly being lower is

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<v Speaker 3>if you think a recession's coming. We haven't had a

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<v Speaker 3>proper recession since two thousand and eight. The one in

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<v Speaker 3>twenty twenty was man made. It was man made, Okay,

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<v Speaker 3>that's stunning the market. The market since twenty ten is

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<v Speaker 3>up fourteen percent annualize. Okay, that includes the twenty five

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<v Speaker 3>percent sell off in twenty twenty two. That includes the

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<v Speaker 3>down six percent in twenty eighteen. So trying to time

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<v Speaker 3>it is it's fruitless. It's from a different era when

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<v Speaker 3>you actually had recessions every five to seven years, and

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<v Speaker 3>coming out of the market perhaps saved you some losses.

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<v Speaker 3>So you know, the most important thing is is their

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<v Speaker 3>recession looming? This market, this economy, there's no recession. And

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<v Speaker 3>by the way, the banks are doing terrific. When banks

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<v Speaker 3>do great, you're not going into recession. They're the forward

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<v Speaker 3>leading indicator.

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<v Speaker 4>Technology AI focusing on returns on AI capfex.

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<v Speaker 5>How do you guys think about that theme right now?

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<v Speaker 3>So I think that's the most important theme in the market.

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<v Speaker 3>And that, of course was the clearing was the earnings

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<v Speaker 3>that we had from some of the hyper scalers, you know,

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<v Speaker 3>even where the market was disappointed in some of the others,

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<v Speaker 3>the revenue was going much higher on the cloud business.

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<v Speaker 3>And what we saw was the one question. There are

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<v Speaker 3>two questions, ken kind of equities rally with the four

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<v Speaker 3>point five percent bogie on the tenuere being breached, right,

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<v Speaker 3>And the answer was like, yeah, actually it was kind

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<v Speaker 3>of fine. It was fine. Okay, So that question was answered.

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<v Speaker 3>So look, Yalds probably could get to five percent here

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<v Speaker 3>simply because between the inflation numbers and you know, from

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<v Speaker 3>the questioning of the FED reaction function and the uncertainty

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<v Speaker 3>in Iran, they ran. So that's number one. But equities

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<v Speaker 3>are fine. The second big question is new ROI on spending,

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<v Speaker 3>and that could have killed the entire market. You would

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<v Speaker 3>have wound up with healthcare, you know, utilities and staples working.

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<v Speaker 3>And the answer is, actually, the business model is working,

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<v Speaker 3>even if free cash flow is going negative in the

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<v Speaker 3>short term, even if they have to sell debt to

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<v Speaker 3>fund it, they're reaccelerating the core business, which is cloud

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<v Speaker 3>and so it's working. And once you answer that question,

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<v Speaker 3>you're off to the race. It's the whole complex can rally.

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<v Speaker 2>Alicia Levine with this B and y thrilled with us

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<v Speaker 2>today across America, around the world. Futures Up twenty eight.

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<v Speaker 2>Paul asked a question because I got to go nerd

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<v Speaker 2>here in a moment, Paul Sweeney with Alisia Levine.

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<v Speaker 4>Alicie, you say industrials attractive entry point and we had

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<v Speaker 4>great numbers out of Catapillar yesterday, So boy, that's a

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<v Speaker 4>great time.

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<v Speaker 3>So you have, like it's a perfect storm. You have

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<v Speaker 3>the capex incentives from the one big beautiful Bill which

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<v Speaker 3>are rolling through the economy and are definitely helping hard

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<v Speaker 3>assets that's industrials, as well as the funding from the hyperscalers.

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<v Speaker 3>So if you think about what you need to build

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<v Speaker 3>a data center or what you need to kind of

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<v Speaker 3>to build out the AI. On the hard asset side,

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<v Speaker 3>the projections for next year is one trillion dollars in

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<v Speaker 3>spending that is going directly into the P and L

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<v Speaker 3>of twenty percent of the S and P. So that's

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<v Speaker 3>why we like it. I mean, industrials have been actually

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<v Speaker 3>the best, the best sector of the year, so we

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<v Speaker 3>think that continued.

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<v Speaker 2>To give us your targets here quickly.

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<v Speaker 3>Okay, eight thousand with risks, but risk to the upside

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<v Speaker 3>here right Okay? Forward earnings are growing at thirty percent.

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<v Speaker 2>Okay, cheez.

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<v Speaker 3>The multiples lower than it was June second, with the

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<v Speaker 3>market peak before.

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<v Speaker 2>If I look at two sets of different equations on

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<v Speaker 2>the X axis and I look at all this capex

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<v Speaker 2>all these tech companies are spending and matched against, that

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<v Speaker 2>is the same timeline of their huge cash flows and profitability.

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<v Speaker 2>I say, they've only got to go out one quarter,

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<v Speaker 2>two quarters, three quarters, four quarters after the CAPEX expense

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<v Speaker 2>to be made whole.

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<v Speaker 5>Yes, Is that in the zeitgeist now?

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<v Speaker 2>I don't think so.

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<v Speaker 3>So we've been running my models on it, and it

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<v Speaker 3>looks like they return to cash flow positive in about

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<v Speaker 3>eighteen to twenty four months.

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<v Speaker 2>Okay, so that's six quarters.

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<v Speaker 3>And then it explodes again. Then it explodes, Then they

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<v Speaker 3>become the bond will positively, it explodes, the cash flow

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<v Speaker 3>becomes positive, and then it explodes to the upsidecause they're

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<v Speaker 3>monetizing the investment.

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<v Speaker 2>This is the first one who's done this. Thank you.

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<v Speaker 2>What's the fan distribution of outcomes twenty four quarters or whatever?

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<v Speaker 3>Okay, let's call it. Let's call it. We're in twenty

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<v Speaker 3>twenty six, let's call it twenty twenty nine. So you're

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<v Speaker 3>looking at about flat twenty eight to twenty nine, and

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<v Speaker 3>then it explodes by twenty thirty, okay, because you're monetizing it,

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<v Speaker 3>because cloud is necessary to build this out.

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<v Speaker 2>I mean, Paul, this is this is like nascent. I

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<v Speaker 2>would say, it's sort of like the China dominance in ay,

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<v Speaker 2>we don't really know, give one.

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<v Speaker 5>More, yeah, exactly. So what are you thinking about valuation here?

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<v Speaker 4>I mean, the earnings are coming through so strong for

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<v Speaker 4>the past several quarters.

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<v Speaker 5>Valuation we're okay here.

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<v Speaker 3>I think we're okay. You know, Sunday night, exceptter Friday's close,

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<v Speaker 3>the tech sector was trading at twenty times forward earnings.

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<v Speaker 3>So it's trading exactly where the market is. That's the

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<v Speaker 3>lowest relative value in fifteen years, So I think valuations

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<v Speaker 3>are fine. Actually, non tech is trading at higher valuations

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<v Speaker 3>than tech because people were hiding in other areas feeling

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<v Speaker 3>it was a concentrated market. Like hello, folks, there's one trade.

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<v Speaker 3>The entire market is AI. It's about fifty percent of

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<v Speaker 3>the market. Very hard to hide anywhere here. Again, the

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<v Speaker 3>fear will be expressed in you know, staples, which have

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<v Speaker 3>been moribund because the economy is good enough and is

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<v Speaker 3>growing and the labor market is stable. So that's where

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<v Speaker 3>you go to hide. Everywhere else it's it's an AI trade.

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<v Speaker 2>But do you hold meetings in the Hamptons during the week?

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<v Speaker 2>Do you just drive out to the Hamptons to hang

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<v Speaker 2>out with people?

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<v Speaker 3>We do not. We go to our offices in Midtown.

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<v Speaker 2>We take from office.

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<v Speaker 3>We were from office.

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<v Speaker 2>Very good.

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<v Speaker 3>We have meetings in office.

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<v Speaker 2>We do very That's a good thing. People know where

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<v Speaker 2>I stand on this. Alicia Levigne, thank you. Back to

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<v Speaker 2>your office. Cio b ny Wealth. Stay with us. More

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<v Speaker 2>from Bloomberg Surveillance coming up after this.

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

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

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<v Speaker 1>Applecarplay and Android Otto with the Bloomberg Business app, or

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<v Speaker 1>watch us live on YouTube.

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<v Speaker 2>Ben Cook with Us with Hennessy. He's got just a

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<v Speaker 2>brilliant acuity here on American oil, in our oil independence.

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<v Speaker 2>But I got to digress here. I just did a

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<v Speaker 2>thing on Ned Johnson and Justin Bearer's wonderful book on fidelity.

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<v Speaker 2>One of my heroes was a guy named William H. Miller,

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<v Speaker 2>the Third who came out of Washington Lee and Johns

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<v Speaker 2>Hopkins and did better than good at Legg Mason and

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<v Speaker 2>you darkened the door at Johns Hopkins, where he just

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<v Speaker 2>committed a ginormous amount of money to physics and astronomy.

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<v Speaker 2>It's amazing what Bill Miller's done for the school. Explain

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<v Speaker 2>why we need fifty million dollars to go to physics

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<v Speaker 2>and astronomy, to nonscience America.

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<v Speaker 6>I'll tell you Johns Hopkins is a great institution, tom

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<v Speaker 6>and obviously a great history. But I think you know,

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<v Speaker 6>going forward, we need to be competitive as an economy,

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<v Speaker 6>and that's where we're building the next generation of experts

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<v Speaker 6>to compete on a global scale.

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<v Speaker 2>Am I right that physics is what made American oil

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<v Speaker 2>independence in that we took physical mathematics and technology and

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<v Speaker 2>brought it over law help me Landman season two? Help

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<v Speaker 2>me here, that we brought it over to fracking and

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<v Speaker 2>all that all came from stuff like what Bill Miller's

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<v Speaker 2>funding at Johns Hopkins. That's absolutely right, Tom.

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<v Speaker 6>You know, we're seeing increased improved technology increase the output

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<v Speaker 6>the efficiency of the industry. Industry is able to do

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<v Speaker 6>more with less. That's in turn translating to good financial

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<v Speaker 6>results from many of the companies that we invest in,

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<v Speaker 6>and we expect that to continue as AI becomes a

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<v Speaker 6>bigger part of the drilling and completion process.

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<v Speaker 4>You guys think about AI as it overlay to all

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<v Speaker 4>your energy investments, because it just seems like to me,

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<v Speaker 4>at least, as I think about and here, all these

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<v Speaker 4>people talk about data centers here, data centers there, we're

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<v Speaker 4>going to need so much power power, so gaining issue.

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<v Speaker 4>It just feels like we're going to need every source

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<v Speaker 4>of energy going forward, whether it's fossil fuels, renewables.

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<v Speaker 5>How do you guys think about it?

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<v Speaker 6>Yeah, you know, as part of our repeatable investment process

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<v Speaker 6>and managing the Hennessy Energy Transition Fund. We're looking at

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<v Speaker 6>natural gas really as a primary beneficiary and really the

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<v Speaker 6>bridge fuel to nuclear as being a major contributor to

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<v Speaker 6>the baseload power that's required to fuel these data centers

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<v Speaker 6>on a twenty four hour basis. So from an investors standpoint,

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<v Speaker 6>the opportunity to invest in many of these names across

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<v Speaker 6>the hydrocarbon value chain is attractive to us today because

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<v Speaker 6>of the demand drivers for that power going forward, and

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<v Speaker 6>we'll see a lot of opportunity emerge as the need

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<v Speaker 6>for energy continues to grow.

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<v Speaker 4>So talk to us about Texas. You're in Dallas. You

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<v Speaker 4>guys have your own grid. I mean, Texas is unto itself.

0:12:14.960 --> 0:12:17.200
<v Speaker 4>We know that you guys are like you do your

0:12:17.240 --> 0:12:17.600
<v Speaker 4>own thing.

0:12:18.160 --> 0:12:19.200
<v Speaker 5>How is that grid set up?

0:12:19.200 --> 0:12:22.520
<v Speaker 4>Because every day I hear about a new company relocating

0:12:22.559 --> 0:12:24.320
<v Speaker 4>to Texas. Do you guys have the grid to deal

0:12:24.360 --> 0:12:24.800
<v Speaker 4>with all that?

0:12:25.240 --> 0:12:25.920
<v Speaker 2>You know? We do?

0:12:26.240 --> 0:12:29.360
<v Speaker 6>You know, as a byproduct of the major winter storm

0:12:29.520 --> 0:12:32.280
<v Speaker 6>ury several years ago, Urkott did a lot to shore

0:12:32.360 --> 0:12:35.840
<v Speaker 6>up additional capacity to ensure that we didn't have future outages.

0:12:35.880 --> 0:12:39.080
<v Speaker 6>And we're benefiting from that today. You know, the AI

0:12:39.280 --> 0:12:41.600
<v Speaker 6>race as many are calling it today, you know, is

0:12:41.679 --> 0:12:45.200
<v Speaker 6>requiring a build out of power gen faster than the

0:12:45.320 --> 0:12:48.280
<v Speaker 6>utility sector can provide. So we're seeing a ton of

0:12:48.320 --> 0:12:52.360
<v Speaker 6>behind the meter of power generation projects. So the industry

0:12:52.400 --> 0:12:55.920
<v Speaker 6>is solving its power needs by pursuing these power projects

0:12:56.160 --> 0:12:57.800
<v Speaker 6>on a co located basis.

0:12:58.080 --> 0:13:00.160
<v Speaker 2>I saw this just I'm so sorry, folks. I don't

0:13:00.240 --> 0:13:02.560
<v Speaker 2>have it here in front of me to site. But

0:13:02.679 --> 0:13:06.640
<v Speaker 2>somebody said we're getting AI wrong and that mostly it's

0:13:06.679 --> 0:13:09.760
<v Speaker 2>an energy bottleneck. Discuss that.

0:13:10.640 --> 0:13:12.760
<v Speaker 6>Yeah, you know, if you think about the demand trend

0:13:12.800 --> 0:13:16.000
<v Speaker 6>associated with AI compute, we're going to need a tremendous

0:13:16.000 --> 0:13:19.000
<v Speaker 6>amount of electricity and to generate those electrons, we're going

0:13:19.040 --> 0:13:21.199
<v Speaker 6>to need a lot of natural gas and other fuel

0:13:21.240 --> 0:13:25.000
<v Speaker 6>sources to generate that power. So the bottleneck as many

0:13:25.000 --> 0:13:28.319
<v Speaker 6>see it today, really is the ability to produce the electrons.

0:13:28.679 --> 0:13:31.760
<v Speaker 6>I was out in West Texas just recently drove out

0:13:31.800 --> 0:13:36.360
<v Speaker 6>through Abilene and ultimately Amarillo and up towards Colorado. A

0:13:36.480 --> 0:13:40.920
<v Speaker 6>number of major projects being developed alongside renewable power sources,

0:13:41.000 --> 0:13:44.280
<v Speaker 6>wind farms that we're generating electricity for the grid are

0:13:44.280 --> 0:13:47.240
<v Speaker 6>going to be dedicated to generating power for data centers.

0:13:47.280 --> 0:13:48.479
<v Speaker 6>It's an amazing trend.

0:13:48.480 --> 0:13:51.600
<v Speaker 5>Talk about nuclear I hear a lot more about that.

0:13:51.600 --> 0:13:55.920
<v Speaker 5>I'm old enough to remember Three Mile Island they sent

0:13:56.000 --> 0:13:59.600
<v Speaker 5>us home school. Then how much how does nuclear player

0:13:59.640 --> 0:14:01.920
<v Speaker 5>role here going forward? Because it's been so out of

0:14:01.920 --> 0:14:02.679
<v Speaker 5>the picture.

0:14:02.400 --> 0:14:03.640
<v Speaker 2>For so long it has.

0:14:03.559 --> 0:14:05.240
<v Speaker 6>Been you know, it's been a year since the Trump

0:14:05.280 --> 0:14:09.439
<v Speaker 6>administration issued in executive order to mandate the acceleration of

0:14:09.520 --> 0:14:13.760
<v Speaker 6>developing additional nuclear resources in this country. You know, we

0:14:13.840 --> 0:14:18.480
<v Speaker 6>have you know, a proven concept in AP one thousand

0:14:18.600 --> 0:14:22.240
<v Speaker 6>by Westinghouse that'll be the primary model for large scale

0:14:22.320 --> 0:14:25.960
<v Speaker 6>nuclear development. There's a lot of science projects underway with

0:14:26.000 --> 0:14:30.479
<v Speaker 6>small scale modular reactors. We'll start to see some contribution

0:14:30.600 --> 0:14:33.040
<v Speaker 6>from those those models here over the next five to

0:14:33.080 --> 0:14:35.440
<v Speaker 6>six years. But on a larger scale, it's.

0:14:35.280 --> 0:14:36.000
<v Speaker 2>Going to take time.

0:14:36.080 --> 0:14:38.680
<v Speaker 6>It takes a significant amount of capital in ten plus years.

0:14:38.760 --> 0:14:44.280
<v Speaker 2>So there's upstream drilling, old school, downstream refineries, distill it's

0:14:44.280 --> 0:14:47.680
<v Speaker 2>and all that, and this thing I really don't understand midstream.

0:14:48.120 --> 0:14:52.880
<v Speaker 2>Where's the investible future among those three categories of oil?

0:14:53.040 --> 0:14:56.000
<v Speaker 6>Yeah, you know, the in terms of the value chain,

0:14:56.080 --> 0:14:58.520
<v Speaker 6>really we see a lot of potential in all of

0:14:58.560 --> 0:15:03.200
<v Speaker 6>the areas. I think midstream is a natural base. Midstream

0:15:03.360 --> 0:15:06.680
<v Speaker 6>is the really the connection of the source of supply

0:15:06.840 --> 0:15:07.800
<v Speaker 6>to the end users.

0:15:07.840 --> 0:15:11.640
<v Speaker 5>Oh it's no, it's pipes. I think it's like the pipelines.

0:15:11.960 --> 0:15:18.280
<v Speaker 4>It is the pipe hundred thirty six, Okay, gathering, storage, transportation,

0:15:18.800 --> 0:15:21.680
<v Speaker 4>ultimately liquefaction the operators of the AKA.

0:15:21.920 --> 0:15:23.840
<v Speaker 2>So you've got a data center in the middle of

0:15:23.840 --> 0:15:27.320
<v Speaker 2>nowhere west to Abilene. It sounds like, you know, sleep

0:15:27.360 --> 0:15:29.840
<v Speaker 2>at the wheels song. Sure, So you got a data

0:15:29.880 --> 0:15:33.240
<v Speaker 2>center out west to Abilenehos, Dallas, grows up to Oklahoma.

0:15:33.760 --> 0:15:36.640
<v Speaker 2>They need net gas. It's just pipelines, right.

0:15:36.880 --> 0:15:40.080
<v Speaker 6>Just pipelines, absolutely, And you know, the West Texas region

0:15:40.080 --> 0:15:42.840
<v Speaker 6>of the Permian Basin is a logical source of supply

0:15:42.920 --> 0:15:45.920
<v Speaker 6>of that energy. In a lot of cases, natural gas

0:15:45.960 --> 0:15:48.480
<v Speaker 6>is still being flared as a biproductive.

0:15:48.480 --> 0:15:51.000
<v Speaker 2>But what about a data center outside Washington, d C.

0:15:51.720 --> 0:15:55.240
<v Speaker 2>Twelve miles you know, not twelve twenty miles. There's dulles.

0:15:55.480 --> 0:15:58.000
<v Speaker 6>Yeah, there's an ocean of gas in Appalachia that's a

0:15:58.080 --> 0:16:00.600
<v Speaker 6>waiting for end use markets, including.

0:16:00.360 --> 0:16:01.880
<v Speaker 2>What about not in my backyard?

0:16:02.520 --> 0:16:05.080
<v Speaker 6>You know, you know, there are some issues pushback on

0:16:05.240 --> 0:16:08.640
<v Speaker 6>data centers and communities that the reality is scarce. Resources

0:16:08.680 --> 0:16:11.240
<v Speaker 6>like land and water are an issue. First, we need

0:16:11.280 --> 0:16:11.800
<v Speaker 6>local policy.

0:16:11.840 --> 0:16:13.600
<v Speaker 4>We need pipelines to get the new England, Tom, because

0:16:13.640 --> 0:16:16.040
<v Speaker 4>you you can't get your games there.

0:16:16.120 --> 0:16:21.000
<v Speaker 2>Quebec saves us, like you know every I mean, just

0:16:21.360 --> 0:16:24.520
<v Speaker 2>what's your signal best buy? Is it Excellon? We like Exxon.

0:16:24.600 --> 0:16:27.600
<v Speaker 6>The integrated business model of Fords flexibility and a commodity

0:16:27.840 --> 0:16:31.000
<v Speaker 6>environment is volatile. You've got a refining asset footprint on

0:16:31.040 --> 0:16:32.000
<v Speaker 6>a global stap.

0:16:32.080 --> 0:16:35.200
<v Speaker 2>Do they have a new attitude about distributing cash to shareholders?

0:16:35.360 --> 0:16:38.280
<v Speaker 6>They the old days they do. This is a group

0:16:38.320 --> 0:16:41.480
<v Speaker 6>that is returning cash to investors and spades, and it

0:16:41.520 --> 0:16:44.560
<v Speaker 6>will continue as the commodity price environment continues to be buoyant.

0:16:44.680 --> 0:16:46.880
<v Speaker 5>In our view, I'm going down to West Texas, Tom,

0:16:46.880 --> 0:16:49.640
<v Speaker 5>I'm going to bring a drill. I'm just just make money.

0:16:49.720 --> 0:16:52.160
<v Speaker 5>I mean, because these oil companies they won't drill. They

0:16:52.160 --> 0:16:52.800
<v Speaker 5>have discipline.

0:16:52.800 --> 0:16:55.920
<v Speaker 4>Now they want to return cash shareholders. I'm going down

0:16:55.920 --> 0:16:58.240
<v Speaker 4>and be a wildcatters how to do it?

0:16:59.720 --> 0:17:01.800
<v Speaker 2>I Steve don't even know where to go. You just

0:17:01.840 --> 0:17:03.360
<v Speaker 2>want to go meet the angelin Norris.

0:17:03.440 --> 0:17:06.359
<v Speaker 5>Yes, you darn right, absolutely.

0:17:06.400 --> 0:17:10.400
<v Speaker 2>Cook I have no idea who angelin Norris is, Paul does.

0:17:10.640 --> 0:17:15.240
<v Speaker 2>Ben Cook with Hennessy Energy Transitions funds in from Dalla's week,

0:17:15.280 --> 0:17:18.360
<v Speaker 2>thank come on home, stay with us. More from Bloomberg

0:17:18.520 --> 0:17:20.560
<v Speaker 2>Surveillance coming up after this.

0:17:27.800 --> 0:17:31.359
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:17:31.440 --> 0:17:34.600
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

0:17:34.680 --> 0:17:38.359
<v Speaker 1>Applecarplay and Android Otto with the Bloomberg Business app, or

0:17:38.480 --> 0:17:39.920
<v Speaker 1>watch us live on YouTube.

0:17:40.040 --> 0:17:41.520
<v Speaker 5>Nisha Mittels, she knows what I'm talking about.

0:17:41.560 --> 0:17:44.280
<v Speaker 4>SMA, portfolio manager of Parametric, talk to us about the

0:17:44.320 --> 0:17:46.720
<v Speaker 4>muni space. Shirk is one of the things that's it

0:17:47.359 --> 0:17:49.800
<v Speaker 4>seems like a headwind for the muni spaces. There's a

0:17:49.880 --> 0:17:51.879
<v Speaker 4>ton of issuance out there. I mean, twenty four was

0:17:51.920 --> 0:17:54.400
<v Speaker 4>a record year, twenty five was a record year. How's

0:17:54.400 --> 0:17:57.160
<v Speaker 4>twenty six looking for new issuance in your municipal bond market.

0:17:57.400 --> 0:18:01.639
<v Speaker 7>Yes, that's that's completely right, Paul. So we've seen a

0:18:01.760 --> 0:18:04.080
<v Speaker 7>surge of issuance this year too. So this is almost

0:18:04.119 --> 0:18:09.200
<v Speaker 7>the third year. We're on pace to actually break last

0:18:09.240 --> 0:18:11.400
<v Speaker 7>year's record. So we almost are looking at about three

0:18:11.440 --> 0:18:14.720
<v Speaker 7>hundred billion UH in the first half. If you analyze that,

0:18:14.880 --> 0:18:16.960
<v Speaker 7>you know, kind of street estimates are close to six

0:18:17.080 --> 0:18:21.639
<v Speaker 7>hundred billion, so that has been a major headwind. But

0:18:21.680 --> 0:18:24.480
<v Speaker 7>I think the difference this year now, keep in mind,

0:18:24.520 --> 0:18:28.040
<v Speaker 7>we just gave back a good amount of performance in July, right,

0:18:28.119 --> 0:18:30.920
<v Speaker 7>so the kind of the broad MUNI index was down,

0:18:31.119 --> 0:18:36.000
<v Speaker 7>you know about uh, we're slightly positive now for the year,

0:18:36.320 --> 0:18:38.120
<v Speaker 7>so we gave a lot of it back. A lot

0:18:38.119 --> 0:18:39.919
<v Speaker 7>of that had to do though, with the treasury rate

0:18:40.000 --> 0:18:42.240
<v Speaker 7>volatility right in the movement there, so this was not

0:18:42.280 --> 0:18:45.760
<v Speaker 7>a credit issue. And then again treasury rate volatility couple

0:18:45.800 --> 0:18:51.360
<v Speaker 7>with supply, that's what's really kind of created this negative

0:18:52.440 --> 0:18:55.360
<v Speaker 7>overlay for munis. But again, I think when you look

0:18:55.359 --> 0:18:59.720
<v Speaker 7>at the technicals, it's about supply, but it's about can

0:18:59.760 --> 0:19:02.920
<v Speaker 7>that be absorbed, So then it's also demand. So demand

0:19:03.040 --> 0:19:06.439
<v Speaker 7>has actually been fairly robust this year, so if we

0:19:06.480 --> 0:19:09.600
<v Speaker 7>see that trend continue, that can help absorb some of

0:19:09.640 --> 0:19:12.080
<v Speaker 7>this supply, which is very different than what we saw

0:19:12.160 --> 0:19:14.160
<v Speaker 7>last year where demand wasn't keeping up with the amount

0:19:14.160 --> 0:19:15.160
<v Speaker 7>of supply of the market saw.

0:19:15.400 --> 0:19:19.840
<v Speaker 4>But all that being said, though absolute yields are on

0:19:19.880 --> 0:19:22.520
<v Speaker 4>a taxi just the basis are really attractive for a

0:19:22.600 --> 0:19:23.720
<v Speaker 4>lot of people right.

0:19:23.640 --> 0:19:26.440
<v Speaker 5>Like, yes, high take high exercisions.

0:19:28.200 --> 0:19:32.399
<v Speaker 7>Yes, that's exactly right. So we were seeing that already

0:19:32.520 --> 0:19:37.840
<v Speaker 7>before this recent repricing. Now where we see you know,

0:19:37.880 --> 0:19:40.760
<v Speaker 7>I would say the curve remains very steep, right, especially

0:19:40.760 --> 0:19:43.160
<v Speaker 7>relative the treasury market, So you're getting paid to take

0:19:43.200 --> 0:19:46.680
<v Speaker 7>on duration. The belly of the curve, though, particularly has

0:19:46.680 --> 0:19:49.000
<v Speaker 7>sold off the most so far this year. So think

0:19:49.000 --> 0:19:50.639
<v Speaker 7>about that as a ten year part of the curve.

0:19:51.480 --> 0:19:53.960
<v Speaker 7>A lot of the issuance has been in that part

0:19:53.960 --> 0:19:56.560
<v Speaker 7>of the curve, so that part of the curve has

0:19:56.600 --> 0:19:59.600
<v Speaker 7>sold off even more than the long end. So now

0:20:00.200 --> 0:20:02.639
<v Speaker 7>before you had to maybe go out fifteen twenty years

0:20:02.680 --> 0:20:04.560
<v Speaker 7>to get you know, I think getting I don't want

0:20:04.560 --> 0:20:06.320
<v Speaker 7>to take get paid for a duration, but to really

0:20:06.320 --> 0:20:08.800
<v Speaker 7>find that relative value, you don't have to go out

0:20:08.800 --> 0:20:11.640
<v Speaker 7>that far. So your ten year bond New Jersey, let's

0:20:11.640 --> 0:20:15.200
<v Speaker 7>say roughly three and a half percent yield, high tax state,

0:20:15.320 --> 0:20:16.920
<v Speaker 7>you're looking at, you know, kind of six and a

0:20:16.920 --> 0:20:20.320
<v Speaker 7>half seven percent all in, which is extremely attractive. So

0:20:20.359 --> 0:20:24.560
<v Speaker 7>as we talk about this equity melt up, tom seven

0:20:24.600 --> 0:20:29.640
<v Speaker 7>percent locked in high quality bonds that looks very attractive

0:20:29.680 --> 0:20:31.200
<v Speaker 7>on a risk reward basis. In my view.

0:20:31.440 --> 0:20:34.640
<v Speaker 2>How is parametric different from the big houses in mini bonds?

0:20:34.800 --> 0:20:36.320
<v Speaker 2>What are you people doing it? Exactly?

0:20:37.200 --> 0:20:42.560
<v Speaker 7>So two things we manage separately, severally manage accounts. So

0:20:42.680 --> 0:20:45.280
<v Speaker 7>what that means is each of our accounts are customized.

0:20:45.320 --> 0:20:48.560
<v Speaker 7>We manage roughly ninety thousand different accounts. So, Tom, you

0:20:48.560 --> 0:20:50.639
<v Speaker 7>give us an account, Paul, you give us an account,

0:20:50.720 --> 0:20:52.679
<v Speaker 7>You give us a parameters round what you want us

0:20:52.680 --> 0:20:54.920
<v Speaker 7>to invest in? So being New Jersey for you, you.

0:20:54.880 --> 0:20:56.200
<v Speaker 2>Go Tom for bonds.

0:20:56.200 --> 0:20:59.000
<v Speaker 7>Correct. Now, we do ladders. You talked about laddering. It's

0:20:59.000 --> 0:21:01.480
<v Speaker 7>a great way to take beta exposure, but we also

0:21:01.560 --> 0:21:02.240
<v Speaker 7>do Wait.

0:21:02.119 --> 0:21:06.040
<v Speaker 2>They were a great band beta exposure. They played Devo

0:21:06.240 --> 0:21:09.159
<v Speaker 2>like nobody, what a god's name is beta exposure?

0:21:09.480 --> 0:21:12.520
<v Speaker 7>Well, that means, look, you can't match the index perfectly

0:21:12.560 --> 0:21:15.800
<v Speaker 7>in Muni's right. It is very tough to recreate a

0:21:15.920 --> 0:21:18.439
<v Speaker 7>Muni index. But by saying, hey, I would like it,

0:21:18.480 --> 0:21:21.000
<v Speaker 7>let's say one to ten year ladder New Jersey specific,

0:21:21.440 --> 0:21:24.919
<v Speaker 7>we can create that market exposure to Muni's. Now we

0:21:24.960 --> 0:21:29.000
<v Speaker 7>can also manage to toll return component. But bottom line, Tom,

0:21:29.080 --> 0:21:31.920
<v Speaker 7>the number one thing that we are doing is customizing

0:21:31.920 --> 0:21:34.920
<v Speaker 7>these accounts for our clients. Number two muni's are already

0:21:34.960 --> 0:21:38.480
<v Speaker 7>inherently tax efficient. We are overlaying this with a component

0:21:38.560 --> 0:21:42.959
<v Speaker 7>of taxos harvesting. So Parametric manages over seven hundred and

0:21:42.960 --> 0:21:47.280
<v Speaker 7>fifty billion across equities and fix income. Taxos harvesting is

0:21:47.320 --> 0:21:49.760
<v Speaker 7>another element of tax efficiency that we can create for

0:21:49.760 --> 0:21:50.880
<v Speaker 7>our clients at Parametric.

0:21:51.640 --> 0:21:53.960
<v Speaker 5>That's credit quality out there in the municipal bond world.

0:21:53.960 --> 0:21:57.000
<v Speaker 4>I don't hear any stories like a, I don't know,

0:21:57.280 --> 0:22:00.760
<v Speaker 4>Chicago or Puerto Rico blowing up then causing all kinds

0:22:00.800 --> 0:22:01.760
<v Speaker 4>of problems house credit.

0:22:01.640 --> 0:22:02.280
<v Speaker 5>Quality out there.

0:22:02.480 --> 0:22:04.960
<v Speaker 7>Credit quality is fairly stable. And look, I would say

0:22:05.640 --> 0:22:08.840
<v Speaker 7>boring is okay, right, So, but I think you have

0:22:09.040 --> 0:22:11.879
<v Speaker 7>pockets in certain areas, at certain sectors that you do

0:22:11.960 --> 0:22:15.680
<v Speaker 7>see a little bit more credit bifurcation, So private education,

0:22:16.040 --> 0:22:19.560
<v Speaker 7>I would say, healthcare in the lower quality space. Obviously

0:22:19.560 --> 0:22:22.119
<v Speaker 7>you want that credit oversight, right, making sure you're getting

0:22:22.119 --> 0:22:26.040
<v Speaker 7>paid for that additional yield. But think about the economy, right,

0:22:26.080 --> 0:22:29.320
<v Speaker 7>I mean, the economy's been fairly strong. Tax collections are strong,

0:22:29.920 --> 0:22:33.760
<v Speaker 7>so you're looking at a fairly robust profile generally across

0:22:33.800 --> 0:22:37.240
<v Speaker 7>the board. In the investment grade space. Now you may

0:22:37.280 --> 0:22:40.480
<v Speaker 7>start to see headline risk. Now I would say you're

0:22:40.520 --> 0:22:44.040
<v Speaker 7>seeing that with some states, with some cities. Dare I

0:22:44.080 --> 0:22:47.280
<v Speaker 7>say New York City given the budget gaps right that

0:22:47.320 --> 0:22:50.040
<v Speaker 7>are projected some of the one time measures they're considering.

0:22:50.520 --> 0:22:55.040
<v Speaker 7>But we remind our clients that fundamentally the credit remains strong.

0:22:55.119 --> 0:22:59.119
<v Speaker 7>Headline risk is very different than the ability to repay debt.

0:23:00.119 --> 0:23:01.920
<v Speaker 7>This still remains a high quality issue.

0:23:01.960 --> 0:23:04.600
<v Speaker 2>Interview Mishah, thank you, Thank you so much, Nicha Patel

0:23:04.640 --> 0:23:08.280
<v Speaker 2>with this parametric this morning, I'm taking advantage of tax

0:23:08.400 --> 0:23:11.400
<v Speaker 2>free bond. She lifts the equity market. Heich just known

0:23:11.440 --> 0:23:14.840
<v Speaker 2>to do that. Stay with us. More from Bloomberg Surveillance

0:23:14.920 --> 0:23:16.280
<v Speaker 2>coming up after this.

0:23:23.520 --> 0:23:27.080
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:23:27.160 --> 0:23:30.320
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

0:23:30.400 --> 0:23:34.040
<v Speaker 1>Applecarplay and Android Otto with the Bloomberg Business app, or

0:23:34.200 --> 0:23:35.720
<v Speaker 1>watch us live on YouTube.

0:23:36.000 --> 0:23:38.240
<v Speaker 2>Dan, it's joins us right now. Dan, I really want

0:23:38.280 --> 0:23:43.679
<v Speaker 2>to focus on Microsoft, the amount of inertial force to

0:23:43.760 --> 0:23:47.280
<v Speaker 2>get that jump condition in Microsoft. Where did that inertial

0:23:47.320 --> 0:23:48.200
<v Speaker 2>force come from?

0:23:49.240 --> 0:23:51.560
<v Speaker 8>I mean, I think first of all, the market was

0:23:51.640 --> 0:23:55.199
<v Speaker 8>painting it wrong relative to where they were on the

0:23:55.240 --> 0:23:59.280
<v Speaker 8>AI Revolution, the mondzation piece, and like I've said, I

0:23:59.280 --> 0:24:02.800
<v Speaker 8>mean I leave what Microsoft should in that quarter. I

0:24:02.800 --> 0:24:06.280
<v Speaker 8>think that's an inflection point for all of tech because

0:24:06.280 --> 0:24:09.640
<v Speaker 8>it shows what's happening in monization, the hyperscalurs. It's not

0:24:09.680 --> 0:24:11.679
<v Speaker 8>just so important for Microsoft, I think important for the

0:24:11.720 --> 0:24:12.320
<v Speaker 8>overall sector.

0:24:12.359 --> 0:24:13.080
<v Speaker 2>We're going to look.

0:24:12.960 --> 0:24:15.679
<v Speaker 8>Back and this is gonna be a monumental sort of

0:24:15.720 --> 0:24:16.840
<v Speaker 8>turning point.

0:24:17.680 --> 0:24:20.840
<v Speaker 5>Hey, Dan, it's we had SpaceX last night.

0:24:22.000 --> 0:24:24.280
<v Speaker 4>I'd love for you to frame out what the SpaceX

0:24:24.320 --> 0:24:27.400
<v Speaker 4>story is now versus maybe what it was at the IPO,

0:24:27.480 --> 0:24:29.800
<v Speaker 4>because obviously there's been a lot of volatility in the stock.

0:24:30.040 --> 0:24:34.080
<v Speaker 4>It's obviously a very long term story, and it's obviously

0:24:34.160 --> 0:24:35.000
<v Speaker 4>a big big.

0:24:34.840 --> 0:24:36.240
<v Speaker 5>Play on Elon Musk himself.

0:24:36.240 --> 0:24:38.359
<v Speaker 4>What did you take away from the earnings release and

0:24:38.359 --> 0:24:39.120
<v Speaker 4>the call last night?

0:24:39.920 --> 0:24:42.080
<v Speaker 8>Look, I think part of it is that there's a

0:24:42.119 --> 0:24:45.000
<v Speaker 8>longer term vision that's all to me investors that bardy

0:24:45.119 --> 0:24:47.240
<v Speaker 8>on the IPO. That's the view in terms of the

0:24:47.240 --> 0:24:51.040
<v Speaker 8>broader AI space story and what Musk is going to

0:24:51.119 --> 0:24:54.480
<v Speaker 8>do over the coming years. And when it comes to quarters, Look,

0:24:54.480 --> 0:24:57.800
<v Speaker 8>there's no number that they're going to show that you

0:24:57.800 --> 0:25:00.840
<v Speaker 8>could say, neighborhood calm nerves right in the lock up

0:25:00.880 --> 0:25:03.399
<v Speaker 8>and just given some of the nervous in you're seeing right.

0:25:03.520 --> 0:25:06.919
<v Speaker 8>But for them it's the bounce because cap X is

0:25:06.960 --> 0:25:09.399
<v Speaker 8>how they're going to narrow the gaps Open AI and

0:25:09.440 --> 0:25:13.240
<v Speaker 8>anthrop and that continues to be the tuggle Ward.

0:25:13.840 --> 0:25:16.359
<v Speaker 2>Did Bill Ackman get this going? Because I had the

0:25:16.440 --> 0:25:20.480
<v Speaker 2>clearest memory in Q one he stepped in with. You know,

0:25:20.560 --> 0:25:23.440
<v Speaker 2>for Bill Ackman, an odd lot, you know, I mean

0:25:23.680 --> 0:25:26.760
<v Speaker 2>it was it was a piece of change. Yep. Five

0:25:26.800 --> 0:25:30.320
<v Speaker 2>point seven million shares two point one billion, that's an

0:25:30.320 --> 0:25:32.359
<v Speaker 2>odd lot for Bill Ackman's a big one. Did he

0:25:32.400 --> 0:25:34.840
<v Speaker 2>get it started? Dan Ice? It was like, OMG, Bill

0:25:34.920 --> 0:25:37.520
<v Speaker 2>Ackman's long ostadgy Microsoft.

0:25:38.800 --> 0:25:41.800
<v Speaker 8>Oh, I think, I mean Ackman saw around the corner

0:25:42.440 --> 0:25:48.240
<v Speaker 8>because investors were massively discounting what the monization story was

0:25:48.240 --> 0:25:50.360
<v Speaker 8>going to be with Azure and I think ultimately counting

0:25:50.400 --> 0:25:53.960
<v Speaker 8>out Nadella because some of the Open AI stuff and

0:25:54.320 --> 0:25:57.240
<v Speaker 8>sort of the narrative, and I think it just speaks

0:25:57.280 --> 0:25:59.199
<v Speaker 8>to him. We've talked about it obviously so much with

0:25:59.280 --> 0:26:01.360
<v Speaker 8>you guys in the show. So this is good. We're

0:26:01.400 --> 0:26:04.520
<v Speaker 8>gonna have white knuckle moments, whether it's Microsoft, whether it's Tech.

0:26:05.080 --> 0:26:08.520
<v Speaker 8>But the reality is this earning season shows you you're

0:26:08.520 --> 0:26:11.400
<v Speaker 8>in the third inning. I can even even say bottom

0:26:11.440 --> 0:26:14.680
<v Speaker 8>of the second. You must go back to where this

0:26:14.720 --> 0:26:19.240
<v Speaker 8>is all playing out. Roative demonization, especially on the hyperscalars.

0:26:18.960 --> 0:26:20.960
<v Speaker 2>Up thirty eight percent from the end of March.

0:26:21.040 --> 0:26:22.760
<v Speaker 5>Yeah, just extraordinary.

0:26:23.080 --> 0:26:25.600
<v Speaker 4>Hey, Dan, So where are we broadly defined on this

0:26:25.760 --> 0:26:28.200
<v Speaker 4>AI conversation in the marketplace?

0:26:28.240 --> 0:26:29.680
<v Speaker 5>What is the narrative in the marketplace?

0:26:29.720 --> 0:26:32.160
<v Speaker 4>Because we had, you know, big tech earnings last week

0:26:32.200 --> 0:26:37.040
<v Speaker 4>and a couple companies stock reacted really positively, in Microsoft

0:26:37.040 --> 0:26:39.240
<v Speaker 4>being one of them, Amazon and some others did not.

0:26:39.480 --> 0:26:42.760
<v Speaker 4>Where What's what's the street thinking about AI these days?

0:26:43.080 --> 0:26:46.000
<v Speaker 8>So I'd say, let's put it like a Jenga puzzle. Okay,

0:26:46.080 --> 0:26:50.840
<v Speaker 8>So the hyperscalars have these good double down in capax demonization.

0:26:51.520 --> 0:26:56.119
<v Speaker 8>You now see whether it's outfit, Amazon, Microsoft, the software piece,

0:26:56.280 --> 0:26:58.399
<v Speaker 8>I think Palenteer Front and Center is showing you the

0:26:58.520 --> 0:27:02.359
<v Speaker 8>enterprise use cases are accelerated. Even when you look at

0:27:02.359 --> 0:27:05.280
<v Speaker 8>AMD despite what you saw, it just shows chips. We've

0:27:05.280 --> 0:27:07.840
<v Speaker 8>said demand the spy twelve to one, thirteen to one.

0:27:07.960 --> 0:27:10.919
<v Speaker 8>Obviously in video front and center, when you piece it

0:27:10.960 --> 0:27:15.800
<v Speaker 8>all together, enterprise are accelerating the hyperscale or see it

0:27:16.520 --> 0:27:20.199
<v Speaker 8>that ultimately is a key catalyst for chipstocks. And I

0:27:20.200 --> 0:27:23.320
<v Speaker 8>think what you're essentially seeing now is that the second, third,

0:27:23.400 --> 0:27:28.399
<v Speaker 8>fourth derivatives of this AI revolution cybersecurity, among others. Now

0:27:28.440 --> 0:27:32.280
<v Speaker 8>it's starting to spread. This is real and you can't

0:27:32.320 --> 0:27:33.800
<v Speaker 8>even deny it, Okay.

0:27:33.880 --> 0:27:36.040
<v Speaker 2>Dan, The reality is you're in the Hamptons because he's

0:27:36.119 --> 0:27:38.720
<v Speaker 2>living large, so we all know that we are in Barns.

0:27:39.320 --> 0:27:42.240
<v Speaker 2>And you know it's like a thing. Dan, you need

0:27:42.280 --> 0:27:46.760
<v Speaker 2>to go up the coast, do Main to Roke Bluff,

0:27:47.040 --> 0:27:50.919
<v Speaker 2>Rogue Bluff. It's almost like where FDR Summer Place was

0:27:50.960 --> 0:27:54.359
<v Speaker 2>on the border with Canada. Like they're more Montreal Canadian

0:27:54.440 --> 0:27:58.360
<v Speaker 2>fans out there than they are Boston Bruin fans. And Dan,

0:27:58.720 --> 0:28:04.119
<v Speaker 2>we got a question here that absolutely brilliant from Rogue

0:28:04.440 --> 0:28:07.439
<v Speaker 2>Bluff's main I hope I'm pronouncing that right at it.

0:28:07.760 --> 0:28:13.560
<v Speaker 2>Does the innovation of AI is its circuitous? Does it

0:28:13.680 --> 0:28:18.320
<v Speaker 2>feed on itself into secondary and tertiary uses?

0:28:19.320 --> 0:28:22.640
<v Speaker 8>That's our whole first, It's a great question, and that's

0:28:22.640 --> 0:28:26.280
<v Speaker 8>our whole thesis, is that what essentially happened it is

0:28:26.320 --> 0:28:29.960
<v Speaker 8>not about the models open AI and anthropic It's about

0:28:29.960 --> 0:28:33.960
<v Speaker 8>the data, the derivatives, the data center build out, the Capax.

0:28:34.480 --> 0:28:36.280
<v Speaker 8>But that's going to do to energy and it goes

0:28:36.320 --> 0:28:38.400
<v Speaker 8>back to like for the first time in thirty years,

0:28:38.760 --> 0:28:40.000
<v Speaker 8>the US is added China.

0:28:40.200 --> 0:28:43.520
<v Speaker 2>Okay, industrial guy, how does it? I mean Caterpillar just

0:28:43.560 --> 0:28:46.800
<v Speaker 2>blew out numbers. You're gonna tell me it's data centers.

0:28:47.120 --> 0:28:53.400
<v Speaker 2>What's Danaives's X axis for all these tertiary companies advantage

0:28:53.480 --> 0:28:54.760
<v Speaker 2>by your AI world?

0:28:55.720 --> 0:28:58.080
<v Speaker 8>Well, I think that's where when you look at Caterpillar,

0:28:58.800 --> 0:29:03.040
<v Speaker 8>you look on the energies like manergs Iquanta. I'm just

0:29:03.080 --> 0:29:06.080
<v Speaker 8>giving example of companies that are playing into the buildouts,

0:29:06.120 --> 0:29:09.760
<v Speaker 8>to the data centers, the Capex buildouts. This is remember,

0:29:09.920 --> 0:29:12.440
<v Speaker 8>for every dollar in Cappex, there's a five to six

0:29:12.480 --> 0:29:15.160
<v Speaker 8>dollars multiply across the rest of TAP and I think

0:29:15.160 --> 0:29:17.280
<v Speaker 8>that just continues to be our THEA And I think

0:29:17.320 --> 0:29:21.880
<v Speaker 8>this earning season, earnings now caught up maybe to where

0:29:21.920 --> 0:29:22.880
<v Speaker 8>some shocks were.

0:29:25.200 --> 0:29:28.440
<v Speaker 4>So what's the what's the next thing that you think

0:29:28.880 --> 0:29:32.000
<v Speaker 4>the streets looking for over the next two, three, four quarters?

0:29:32.080 --> 0:29:36.440
<v Speaker 4>Then is it more ROI the evidence is it eight

0:29:37.200 --> 0:29:38.440
<v Speaker 4>scaling back in Capex?

0:29:38.480 --> 0:29:41.400
<v Speaker 5>What do you think that the street's looking for monization.

0:29:42.000 --> 0:29:44.360
<v Speaker 8>You want to now see, like as King with the

0:29:44.560 --> 0:29:47.120
<v Speaker 8>X acts, you want to now see go the baton

0:29:47.200 --> 0:29:50.640
<v Speaker 8>hander from Capex to monization. And I also think there's

0:29:50.720 --> 0:29:53.560
<v Speaker 8>just a laser focus what's going on in Koupertino because

0:29:53.600 --> 0:29:59.240
<v Speaker 8>the consumer AI revolution runs through Rupertina. What they do

0:29:59.360 --> 0:30:02.160
<v Speaker 8>on the consumer it's by memory chips and everything. All

0:30:02.320 --> 0:30:04.440
<v Speaker 8>that is so important to their own strategy.

0:30:05.160 --> 0:30:08.840
<v Speaker 2>Dan is a twenty two dollars ultimate breakfast burrito at

0:30:08.880 --> 0:30:12.040
<v Speaker 2>the Golden Pear Cafe. Is that a little rich for you?

0:30:12.720 --> 0:30:15.320
<v Speaker 2>I mean just a breakfast burrito twenty two dollars?

0:30:15.720 --> 0:30:19.760
<v Speaker 8>Wow, Look, I do think Golden Power. I'd say argue

0:30:19.760 --> 0:30:22.360
<v Speaker 8>maybe some of the best coffee in the United States.

0:30:22.840 --> 0:30:26.000
<v Speaker 8>But I will say that that burrito, you know, I

0:30:26.040 --> 0:30:28.640
<v Speaker 8>think it's price high, but I think well worth it,

0:30:28.720 --> 0:30:30.440
<v Speaker 8>you know, for those that have never tried it.

0:30:30.480 --> 0:30:33.400
<v Speaker 2>I mean, the chicken panini is just unbelievable. It's a

0:30:33.480 --> 0:30:35.800
<v Speaker 2>charge more for that. Okay, you can't even get in

0:30:35.840 --> 0:30:37.680
<v Speaker 2>the door there half the time, right Dan.

0:30:37.840 --> 0:30:41.600
<v Speaker 8>Dan, it is, But I mean keen he would you'd

0:30:41.640 --> 0:30:45.160
<v Speaker 8>have VIP accents. But for others, yeah, you know, but

0:30:45.240 --> 0:30:47.720
<v Speaker 8>for others, the regular people, the non keen.

0:30:48.000 --> 0:30:50.360
<v Speaker 2>They have to wait out God, can you see me

0:30:50.400 --> 0:30:51.520
<v Speaker 2>out there happens?

0:30:52.840 --> 0:30:55.840
<v Speaker 8>I could picture it, the bow tie going into Golden power.

0:30:55.880 --> 0:30:58.280
<v Speaker 2>I see the scene, Bill and I the science guy,

0:30:58.400 --> 0:31:03.480
<v Speaker 2>busted my chops on it like the Nerd Patrol and

0:31:03.560 --> 0:31:05.880
<v Speaker 2>nice go away in the Hamptons. Thank you so much

0:31:05.920 --> 0:31:08.520
<v Speaker 2>for the perspective, particularly on Microsoft.

0:31:08.760 --> 0:31:13.600
<v Speaker 1>This is the Bloomberg Surveillance Podcast, available on Apples, Spotify,

0:31:13.720 --> 0:31:18.000
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