WEBVTT - Bloomberg Surveillance TV: November 26th, 2025

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is the Bloomberg Surveillance Podcast. I'm Jonathan Ferrow, along

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<v Speaker 2>with Lisa Bromwitz and Amerie Hordern. Join us each day

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<v Speaker 2>for insight from the best in markets, economics, and geopolitics

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<v Speaker 2>from our global headquarters in New York City. We are

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<v Speaker 2>live on Bloomberg Television weekday mornings from six to nine

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<v Speaker 2>anywhere else you listen, and as always on the Bloomberg

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<v Speaker 2>Terminal and the Bloomberg Business app.

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<v Speaker 3>And we begin this hour with stocks rising as risk

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<v Speaker 3>appetite returns after a stretch of volatility. Amy Silverman of

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<v Speaker 3>RBC Capital Markets writing, there's actually a lot more hedging.

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<v Speaker 3>There's a lot more demand for hedging than is currently

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<v Speaker 3>priced into the market. The risk of missing out is

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<v Speaker 3>almost worse than the risk of a drawdown. And I'm

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<v Speaker 3>pleased to say that. Amy joins us now and Amy.

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<v Speaker 3>Matt and I were talking to you about a week ago,

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<v Speaker 3>in the midst of some of this downturn in the market.

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<v Speaker 3>You were talking about the shadow hedges, the desire for hedges,

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<v Speaker 3>and the places people were turning to get them. How

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<v Speaker 3>has that evolved over the past week as markets have recovered.

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<v Speaker 4>I think part of the problem that I had described

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<v Speaker 4>was this idea that there is actually a lot of

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<v Speaker 4>concern about the fragility of a lot of the trades

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<v Speaker 4>because they're not only related to AI, they're related to

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<v Speaker 4>the concentration risk that you see in the mag seven.

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<v Speaker 4>But obviously this year it's been much more about that

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<v Speaker 4>upcrash being something that investors have to be concerned about,

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<v Speaker 4>that fear of missing out, And so when you do

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<v Speaker 4>get the down days, you get a little bit more

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<v Speaker 4>pile on and you do see that in the SKW

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<v Speaker 4>in the market, meaning that downside demand remains quite sticky.

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<v Speaker 4>Even when you reverse the market moves and you have

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<v Speaker 4>more updates, that SKEW hasn't quite changed as much, because again,

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<v Speaker 4>that fragility is at top of investors' minds.

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<v Speaker 3>What about the treatment of tech amy because before it

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<v Speaker 3>was a market that was pricing in all the AI

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<v Speaker 3>winners all be that that they would all be winners.

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<v Speaker 5>Things have started to change.

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<v Speaker 3>We're looking at another day of Nvidia losing in the

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<v Speaker 3>pre market and Alphabet gaining. Has the treatment of these

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<v Speaker 3>stocks shifted? Has that narrative and the way we price

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<v Speaker 3>it in started to move.

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<v Speaker 4>Yeah, and I think to some degree that actually might

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<v Speaker 4>be a good thing. So one thing we look at

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<v Speaker 4>isn't just inter stock market dispersion, but obviously inter mag

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<v Speaker 4>seven dispersion. And so you know, on a day where

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<v Speaker 4>you have Nvidia going down but Google going up, and

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<v Speaker 4>obviously that story is tied to each other, then it

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<v Speaker 4>becomes maybe something that's also more diversified, because one of

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<v Speaker 4>the biggest concerns has been if correlation rises because it's

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<v Speaker 4>all one big trade, it's quite incestuous. That fragility is

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<v Speaker 4>not good for the market, even in a time when

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<v Speaker 4>things are going up. So if it is the case

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<v Speaker 4>that one is more of a diversifier for the other

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<v Speaker 4>and you don't get that spiking correlation, I know, for

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<v Speaker 4>our investor base when they're thinking about weltility and hedging,

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<v Speaker 4>that is a big component in the market market structure

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<v Speaker 4>that you know, it's very key for how they diversify

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<v Speaker 4>the portfolio.

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<v Speaker 6>Don't we necessarily have less correlation now among the mag seven? Right,

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<v Speaker 6>they were all working together, investing in each other. It

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<v Speaker 6>was a very incestuous circular.

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<v Speaker 5>Economy.

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<v Speaker 6>And now you've got one against the other. It seems

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<v Speaker 6>like it would reduce correlation and maybe even reduce concentration risk.

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<v Speaker 4>Yeah, exactly exactly, Matt. So it's that diversifier aspect that

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<v Speaker 4>is important. I mean, I think the thing is there's

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<v Speaker 4>still that incestuousness hasn't fully gone away, you know, and

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<v Speaker 4>that's not just in terms of what kapax investments are,

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<v Speaker 4>but obviously there's issues on the credit side as well

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<v Speaker 4>that investors are watching for. So I don't think, you know,

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<v Speaker 4>this alleviates the whole picture. But I actually think even

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<v Speaker 4>though it's like Google is going up in videos going down,

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<v Speaker 4>the way that investors are thinking about it is we

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<v Speaker 4>at least my implied correlation on the intermag seven is

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<v Speaker 4>something that could be a diversifier. So this whole market

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<v Speaker 4>isn't all reaching at once.

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<v Speaker 5>Amy.

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<v Speaker 6>How strong does the retail bid look to you right now?

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<v Speaker 6>Because we finally had more than five percent draw down,

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<v Speaker 6>just barely, but it happened from peak to trough last week.

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<v Speaker 6>Our retailer is going to continue to be buying the dip.

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<v Speaker 6>Is that still a huge presence in this market?

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<v Speaker 4>So it has wane and you've seen that in some

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<v Speaker 4>of the sentiment markers, Matt. But it is something that

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<v Speaker 4>you know, we're watching very closely because I think one

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<v Speaker 4>thing we've talked about is the reason that investors have

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<v Speaker 4>that institutional misters, just to be clear, have been afraid of,

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<v Speaker 4>you know, really piling it on hedges. That's why we

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<v Speaker 4>call it shadow hedging, is that retail bid has continued

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<v Speaker 4>to stay in the market. Now there are these extraneous forces,

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<v Speaker 4>so for instance, how cryptocurrency is doing, how other factors

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<v Speaker 4>are doing that are actually quite correlated to that retail bid.

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<v Speaker 4>So we are watching those extraneous factors closely as well,

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<v Speaker 4>because it is interesting to see when you you know,

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<v Speaker 4>like crypto is always supposed to be this hedge asset

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<v Speaker 4>that in reality is a risk asset, and then it's

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<v Speaker 4>also very correlated to that bit that you see in

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<v Speaker 4>n ASTEC. So I think those things, even though they're

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<v Speaker 4>not directly tied into the stock market, are very important

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<v Speaker 4>as factors for sentiment amy.

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<v Speaker 3>In terms of finding other places to hedge, there was

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<v Speaker 3>a goldmn Socks report about what hedge funds are shorting,

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<v Speaker 3>and one of them that's at historic levels, albeit at

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<v Speaker 3>a relatively low level, is utilities two point three percent

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<v Speaker 3>of free float. Again, that doesn't sound terribly exciting, but

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<v Speaker 3>that is the most in history. I wonder if that

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<v Speaker 3>could be interpreted as a hedge for AI given the

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<v Speaker 3>close proximity and the correlations we've been talking about, And

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<v Speaker 3>if it is a hedge, does that make sense as one?

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<v Speaker 4>Yeah, I think it does. You know, when you think

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<v Speaker 4>about what everything comes down to and what could be

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<v Speaker 4>the bottleneck for large parts of the AI trade, it's

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<v Speaker 4>just getting enough compute right, and that has implications not

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<v Speaker 4>just for the United States, but if you think kind

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<v Speaker 4>of bigger, it's also geo politically, the race that is

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<v Speaker 4>going on right now between China and the United States. Again,

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<v Speaker 4>it's that ability to do compute and what bottlenecks happen.

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<v Speaker 4>The only issue I see when you think about doing

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<v Speaker 4>it through utilities is one, there's just not that much

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<v Speaker 4>market cap relative to other sectors. And two you know

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<v Speaker 4>that liquidity is traditionally not as I guess free flowing

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<v Speaker 4>as other sectors. So if that you think about that

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<v Speaker 4>as your hedge, I don't know if that is the

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<v Speaker 4>cleanest that you could have versus you know, outright owning something.

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<v Speaker 5>As a hedge in AI underliars.

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<v Speaker 2>Stay with US multile impex savanas. Coming up off to this.

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<v Speaker 3>Joining US now is Wendy Schiller, directman of the Tomman

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<v Speaker 3>Institute for American Politics and Policy at Brown University. Wendy,

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<v Speaker 3>these negotiations as they're happening in the background, we're getting

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<v Speaker 3>deer earnings that look really poor because of suffering consumer confidence,

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<v Speaker 3>that plunging elections, That affordability was at the forefront. How

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<v Speaker 3>is this coloring the administration's approach as it talks to

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<v Speaker 3>President Sheet as it negotiates with Europe in trade deals?

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<v Speaker 7>Hello, Donnie, I think that the President's got to balance

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<v Speaker 7>his international clout in delivering for the domestic US political market,

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<v Speaker 7>economically and politically, and he's getting so much pressure on

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<v Speaker 7>all fronts, and it's now reflected in his poll numbers.

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<v Speaker 7>On the economy, Republicans typically have an advantage managing the economy.

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<v Speaker 8>They still have an advantage.

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<v Speaker 7>Over the Democrats on managing the economy, but the President

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<v Speaker 7>Trump's managing of the economy have flipped.

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<v Speaker 8>They were more confident now he's underwater.

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<v Speaker 7>In particular, there's also some dynamics of the midterms in

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<v Speaker 7>twenty six Iowa, for example, big farm state relies on exports.

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<v Speaker 8>They have a Senate race, and that.

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<v Speaker 7>Senate race looked you know, maybe i was gone red,

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<v Speaker 7>but now it looks like Iowa.

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<v Speaker 8>The winds are change a little bit there.

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<v Speaker 7>They've got a strong contender on the Democratic side, and

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<v Speaker 7>we'll see who emerges on the Republican side.

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<v Speaker 8>And that's something that's concerning the Senate.

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<v Speaker 7>John fun in particular, has really been in the President's

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<v Speaker 7>ear on agriculture, exports and China. An understanding that this

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<v Speaker 7>doesn't just affect President Trump now, it could affect the

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<v Speaker 7>standing of the Republicans in the Senate in twenty six.

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<v Speaker 5>Yeah, for sure.

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<v Speaker 6>I mean, we see that farmers don't have enough money

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<v Speaker 6>to order more John Deere equipment. They lowered their profit

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<v Speaker 6>forecasts for next year.

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<v Speaker 5>We have seen already.

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<v Speaker 6>Automakers that have had to put production on hold because

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<v Speaker 6>they're not getting enough rare earths. And then President Trump

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<v Speaker 6>has this call with si in which the Chinese call

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<v Speaker 6>out Taiwan as a major sticking point. It's not even

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<v Speaker 6>in the US President's readout, making it look like we're

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<v Speaker 6>downplaying the important Taiwan issue in order to appease the Chinese.

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<v Speaker 5>Are we losing this trade war.

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<v Speaker 7>Well, Matt, I mean at the moment the American peak,

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<v Speaker 7>as evidenced by a number of different polls across different

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<v Speaker 7>polling companies that sort of tilt one way or the

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<v Speaker 7>other politically, that the American public things we are that

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<v Speaker 7>the tariffs are now being blamed for affordability, high prices, layoffs.

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<v Speaker 7>And this is something I think the Jouman Institution did

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<v Speaker 7>not anticipate when.

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<v Speaker 8>He forged the sort of mantra that he was going.

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<v Speaker 7>To stick up for America, get a better deal, negotiate

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<v Speaker 7>a better deal, and bring manufacturing home.

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<v Speaker 6>But every economist with a pulse warned the president about this.

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<v Speaker 7>Well, Donald Trump marches to his own tune, his own drummer,

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<v Speaker 7>and he will emerge claiming credit for deals. China did

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<v Speaker 7>agree to buy more soybeans about a month ago after John.

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<v Speaker 8>Fune pleaded with the President on this, But it still

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<v Speaker 8>looks like we're gonna have to pay out subsidies to

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<v Speaker 8>the farmers from the US Treasury to.

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<v Speaker 7>Make up for these losses, and the President pivots, as

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<v Speaker 7>we know all the time.

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<v Speaker 8>The question is.

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<v Speaker 7>How will the Republicans in Congress treat this going into

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<v Speaker 7>the midterms in twenty six because American public is starting

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<v Speaker 7>to blame the Republican Party and that's bad for them.

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<v Speaker 7>So how effective are they in persuading Donald Trump to

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<v Speaker 7>maybe renegotiate deals.

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<v Speaker 8>But right now it looks like China is still driving

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<v Speaker 8>the bus on this and.

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<v Speaker 7>Affecting because of our geopolitics in the United States, how

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<v Speaker 7>we elect people, which states are important.

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<v Speaker 8>You know, they understand that.

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<v Speaker 7>In China, they understand which markets are ware and how

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<v Speaker 7>that affects our politics.

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<v Speaker 8>And twenty six looms really.

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<v Speaker 6>Large is is the president too focused on international relations

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<v Speaker 6>when you know, we need someone to deal with the

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<v Speaker 6>problem of skyrocketing health costs here. Apparently they're going to

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<v Speaker 6>lay out another two year extension to these really inefficient

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<v Speaker 6>ACA subsidies, which the Republicans really wanted to avoid, but

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<v Speaker 6>now it looks like we're just going to keep, you know,

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<v Speaker 6>paying these bills.

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<v Speaker 7>Well, Matt, I mean every president of this, you know,

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<v Speaker 7>when things are going a little bit south domestically, every

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<v Speaker 7>president turns the page towards foreign relations.

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<v Speaker 8>It's not a partisan thing, it's not a Trump thing.

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<v Speaker 8>But this is what I'm watching. I'm watching.

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<v Speaker 7>Will the Republicans, particularly in the House, come with the President.

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<v Speaker 7>He clearly wants to sign an extension of these tax subsidies.

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<v Speaker 7>He doesn't want to have millions of people who can't

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<v Speaker 7>afford health insurance on his watch next year.

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<v Speaker 8>That's what he wants to avoid.

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<v Speaker 7>But the House is making noises that they don't want

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<v Speaker 7>to do it, that they are uncomfortable doing it. Does

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<v Speaker 7>he still have the same sway with the House GOP

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<v Speaker 7>that he has appeared to have all year long.

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<v Speaker 8>That's what I'm watching over the next couple of weeks

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<v Speaker 8>in into.

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<v Speaker 2>January, stay with us multple imperg Savannah's coming up off

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<v Speaker 2>to this.

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<v Speaker 3>Barbara Duran of BD eight Capital Partners, writing for now,

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<v Speaker 3>the AI play is still the place to be. Avoid

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<v Speaker 3>small cap staples, stick to quality large cap secular growers

0:11:59.480 --> 0:12:02.400
<v Speaker 3>over six and Barbarrown please to say it joins us now.

0:12:02.440 --> 0:12:04.839
<v Speaker 5>Really wonderful to see you this morning. Nice to see you, Danny.

0:12:04.880 --> 0:12:08.240
<v Speaker 3>I'm interested by the fact you're not looking at cyclicals

0:12:08.320 --> 0:12:11.560
<v Speaker 3>right now or small caps, especially since there's this hope

0:12:11.559 --> 0:12:13.560
<v Speaker 3>that we're going to get fed cuts, maybe you add

0:12:13.559 --> 0:12:15.719
<v Speaker 3>in fiscal stimulus and there's this reignition.

0:12:15.840 --> 0:12:17.600
<v Speaker 5>Why are you still ignoring those sectors.

0:12:17.800 --> 0:12:19.600
<v Speaker 1>Well, I think the FED cut that we may have

0:12:19.720 --> 0:12:22.720
<v Speaker 1>one more now, but the economy has been doing fine

0:12:23.040 --> 0:12:26.080
<v Speaker 1>without aggressive FED cuts, so that we've had about one

0:12:26.120 --> 0:12:28.360
<v Speaker 1>and a half percentage points in the last fourteen months.

0:12:28.520 --> 0:12:30.360
<v Speaker 1>But we've seen a number of false starts in terms

0:12:30.400 --> 0:12:32.360
<v Speaker 1>of cyclicals and the small caps. And I see the

0:12:32.360 --> 0:12:34.800
<v Speaker 1>small caps really as a trade because even with rates

0:12:34.840 --> 0:12:37.160
<v Speaker 1>coming down a little bit, you still have forty percent

0:12:37.240 --> 0:12:39.360
<v Speaker 1>of the russel two thousand don't make money.

0:12:39.600 --> 0:12:42.520
<v Speaker 5>They have much higher cost of capital.

0:12:42.200 --> 0:12:45.240
<v Speaker 1>Than return on investment typically, and unless rates come down

0:12:45.280 --> 0:12:47.920
<v Speaker 1>significantly on the long end, I don't see them being helped.

0:12:47.920 --> 0:12:50.439
<v Speaker 1>So I see that a's continuing as a trade. And

0:12:50.440 --> 0:12:52.440
<v Speaker 1>in cyclicals, I think you have to be very selective.

0:12:52.480 --> 0:12:54.720
<v Speaker 1>And industrials, for instance, I mean you want to be

0:12:54.880 --> 0:12:57.520
<v Speaker 1>I think doing industrials that are play on the AI

0:12:57.600 --> 0:13:01.440
<v Speaker 1>build out and infrastructure, automation, robotics, that sort of thing.

0:13:01.840 --> 0:13:04.720
<v Speaker 1>But it's hard to see a big reignition here of

0:13:04.760 --> 0:13:07.640
<v Speaker 1>the economy. I think we're in for good growth, decent growth,

0:13:07.640 --> 0:13:10.120
<v Speaker 1>and certainly we've seen that with the forward earnings guidance

0:13:10.120 --> 0:13:12.760
<v Speaker 1>from the companies who just reported a great quarter and

0:13:12.840 --> 0:13:16.280
<v Speaker 1>certainly do have the big beautiful tax bill, you know,

0:13:16.320 --> 0:13:19.319
<v Speaker 1>the incentives coming there for CAPEX, and also bank de

0:13:19.400 --> 0:13:22.920
<v Speaker 1>regulation which should free up more capital to lend and spend.

0:13:23.320 --> 0:13:24.760
<v Speaker 5>So next year is setting up nicely.

0:13:24.920 --> 0:13:26.520
<v Speaker 3>I'm kind of confused why that's kind of like a

0:13:26.640 --> 0:13:30.000
<v Speaker 3>muddling along versus a growth reognition, because all of those

0:13:30.080 --> 0:13:31.480
<v Speaker 3>do seem like powerful forces.

0:13:31.480 --> 0:13:33.679
<v Speaker 5>Barbara, Yeah, well, I think it is muddling long.

0:13:33.720 --> 0:13:36.360
<v Speaker 1>And we've seen this, you know, this year, even with

0:13:36.600 --> 0:13:40.320
<v Speaker 1>high supposedly high interest rates that are quote restrictive.

0:13:39.920 --> 0:13:42.520
<v Speaker 5>You've seen the economy do okay. And the earnings.

0:13:42.600 --> 0:13:44.520
<v Speaker 1>We just had the ninth quarter in a row where

0:13:44.559 --> 0:13:47.280
<v Speaker 1>earnings were up. In fact, they were better than expected,

0:13:47.320 --> 0:13:50.760
<v Speaker 1>some thirteen plus percent versus eight percent expected, you know,

0:13:50.800 --> 0:13:53.160
<v Speaker 1>but it's still you know, we talked about AI. That

0:13:53.280 --> 0:13:55.120
<v Speaker 1>is still the driver. I mean, if you look at

0:13:55.120 --> 0:13:58.240
<v Speaker 1>what the MAG seven did in earnings x Meta, I

0:13:58.280 --> 0:13:59.760
<v Speaker 1>take Meta out of the mix because they had a

0:13:59.760 --> 0:14:02.800
<v Speaker 1>six team billion dollars one time charge, right, But looking

0:14:02.840 --> 0:14:05.720
<v Speaker 1>at that the overall MAGS seven, we're up thirty percent,

0:14:06.240 --> 0:14:08.959
<v Speaker 1>you know, in in aggregate earnings, and that's versus a

0:14:09.040 --> 0:14:11.480
<v Speaker 1>twenty eight plus percent for the last four quarters.

0:14:11.480 --> 0:14:12.880
<v Speaker 5>So that's still the driver here.

0:14:13.040 --> 0:14:16.560
<v Speaker 6>I wonder about the massive capex plans that these companies

0:14:16.559 --> 0:14:18.640
<v Speaker 6>have you mentioned meta right, they want to spend I

0:14:18.640 --> 0:14:25.280
<v Speaker 6>think one hundred billion dollars next year. Is that depreciation scary?

0:14:25.320 --> 0:14:27.520
<v Speaker 6>As Michael Burry warns us about the fact that they're

0:14:27.520 --> 0:14:29.760
<v Speaker 6>going to buy all these chips which may be worth

0:14:30.040 --> 0:14:32.040
<v Speaker 6>you know, twenty percent less the moment they drive them

0:14:32.080 --> 0:14:32.600
<v Speaker 6>off the lot.

0:14:33.040 --> 0:14:34.240
<v Speaker 5>Yeah, I mean the depreciation.

0:14:34.360 --> 0:14:36.880
<v Speaker 1>What's what I really keep my eye on is the demand,

0:14:37.000 --> 0:14:39.440
<v Speaker 1>you know, and if you're looking at very credible sources,

0:14:39.480 --> 0:14:43.080
<v Speaker 1>you know see this market data infrastructure, data center infrastructure

0:14:43.120 --> 0:14:45.920
<v Speaker 1>going five times what it is now, So that really

0:14:45.960 --> 0:14:48.360
<v Speaker 1>speaks to the demand that's out there. So I mean

0:14:48.360 --> 0:14:50.600
<v Speaker 1>he's arguing about what are the real earnings this and that,

0:14:50.640 --> 0:14:52.600
<v Speaker 1>But to me, it's really what's the demand, what's the

0:14:52.640 --> 0:14:55.320
<v Speaker 1>revenue potential? And that is very real. I mean, just

0:14:55.320 --> 0:14:57.880
<v Speaker 1>saw an acceleration there. I think that continues. We are

0:14:57.960 --> 0:15:00.640
<v Speaker 1>still in the early stages of this AI. So the

0:15:00.720 --> 0:15:03.920
<v Speaker 1>concern about you know, we're in a bubble, there's too

0:15:04.000 --> 0:15:05.000
<v Speaker 1>much money being spent.

0:15:05.600 --> 0:15:06.360
<v Speaker 5>I don't think at all.

0:15:06.360 --> 0:15:08.360
<v Speaker 1>You're going to see increasing usage of AI as it

0:15:08.360 --> 0:15:09.000
<v Speaker 1>gets developed.

0:15:10.400 --> 0:15:13.800
<v Speaker 6>When do we get that revenue because I you know,

0:15:13.960 --> 0:15:18.440
<v Speaker 6>started this job covering tech companies as Cisco was, you know,

0:15:18.520 --> 0:15:21.280
<v Speaker 6>the the darling of the market, and we were spending

0:15:21.320 --> 0:15:23.240
<v Speaker 6>as much as we could to lay fiber for the

0:15:23.280 --> 0:15:26.720
<v Speaker 6>Internet in the late nineties early two thousands, and lo

0:15:26.880 --> 0:15:30.680
<v Speaker 6>and behold, the revenue didn't come quickly enough. Cisco fell

0:15:30.840 --> 0:15:34.720
<v Speaker 6>and only now, like last week, have you made money

0:15:34.760 --> 0:15:37.240
<v Speaker 6>on Cisco if you bought it in nineteen ninety nine

0:15:37.280 --> 0:15:37.880
<v Speaker 6>or two thousand.

0:15:38.000 --> 0:15:38.520
<v Speaker 5>No, that's true.

0:15:38.520 --> 0:15:40.400
<v Speaker 1>And I think so much though, is about the timing,

0:15:40.760 --> 0:15:42.760
<v Speaker 1>you know, because some of the great tech companies in

0:15:42.760 --> 0:15:45.240
<v Speaker 1>the past you had great long runs and made a

0:15:45.240 --> 0:15:47.280
<v Speaker 1>lot of money. But all things do come to an end.

0:15:47.280 --> 0:15:50.800
<v Speaker 1>There's innovation, you know, there's markets mature. I think the

0:15:50.840 --> 0:15:53.640
<v Speaker 1>AI play this is so big and what we're seeing.

0:15:53.720 --> 0:15:56.240
<v Speaker 1>I always mentioned Meta as the poster child, you know

0:15:56.240 --> 0:15:58.520
<v Speaker 1>for what's happy in AI. They have been very early

0:15:58.560 --> 0:16:00.600
<v Speaker 1>on applying it to their own business. Then you've seen

0:16:00.600 --> 0:16:03.960
<v Speaker 1>the results very quickly. They even increase their user base,

0:16:04.040 --> 0:16:07.280
<v Speaker 1>the engagement is up. They've really increased their improved their

0:16:07.280 --> 0:16:10.000
<v Speaker 1>ad targeting, so they've improved more dollars and you've got

0:16:10.160 --> 0:16:13.160
<v Speaker 1>very early penetration. AI is still you've heard it from

0:16:13.200 --> 0:16:15.440
<v Speaker 1>Palo Alto last week. They talked about it in their

0:16:15.440 --> 0:16:19.200
<v Speaker 1>AI security. It's still scaling up because their customers and

0:16:19.240 --> 0:16:22.200
<v Speaker 1>big enterprises are still figuring out how they're going to

0:16:22.280 --> 0:16:24.640
<v Speaker 1>you know, what AI they need and how they're.

0:16:24.440 --> 0:16:25.080
<v Speaker 5>Going to apply it.

0:16:25.120 --> 0:16:26.480
<v Speaker 1>So this is going to be You're going to see

0:16:26.520 --> 0:16:28.920
<v Speaker 1>these increases in productivity over the next year or two.

0:16:29.440 --> 0:16:32.680
<v Speaker 1>Exact timing hard to know, but it will just increase.

0:16:32.720 --> 0:16:35.240
<v Speaker 1>I mean, look at chat GPT. I don't know about

0:16:35.320 --> 0:16:37.280
<v Speaker 1>you all, but I use it all the time, and

0:16:37.360 --> 0:16:39.760
<v Speaker 1>I increase my usage as I discover more things. And

0:16:39.800 --> 0:16:42.720
<v Speaker 1>they have six hundred million users a week, and so

0:16:43.080 --> 0:16:44.920
<v Speaker 1>this is really still and I talked to most of

0:16:44.960 --> 0:16:46.840
<v Speaker 1>my friends. They're like, yeah, I should try it. There's

0:16:46.840 --> 0:16:49.800
<v Speaker 1>still so much more to come, both consumer and enterprise.

0:16:50.240 --> 0:16:52.360
<v Speaker 3>It definitely feels like something we're waiting for, right Like,

0:16:52.400 --> 0:16:55.200
<v Speaker 3>when do the other companies benefit from productivity? I was

0:16:55.240 --> 0:16:58.160
<v Speaker 3>looking at a Brooking study that was published recently. We're

0:16:58.200 --> 0:17:01.080
<v Speaker 3>only nineteen percent of their respond in said that AI

0:17:01.480 --> 0:17:07.280
<v Speaker 3>increase their productivity. Only four percent said it significantly increased productivity.

0:17:07.480 --> 0:17:10.639
<v Speaker 3>Roberts your point, we're still trying to figure this out.

0:17:10.880 --> 0:17:13.239
<v Speaker 3>So as you're looking for who benefits from AI, who

0:17:13.320 --> 0:17:15.280
<v Speaker 3>can use it, where does productivity come from?

0:17:15.440 --> 0:17:17.840
<v Speaker 5>Is it just too early to say? I think it is.

0:17:18.200 --> 0:17:18.679
<v Speaker 5>I think it is.

0:17:18.720 --> 0:17:21.760
<v Speaker 1>I think we see different companies that are benefiting. But

0:17:21.880 --> 0:17:24.520
<v Speaker 1>I think over the next twelve to eighteen months there's

0:17:24.520 --> 0:17:27.240
<v Speaker 1>going to be some dramatic stories to be told about

0:17:27.240 --> 0:17:31.080
<v Speaker 1>the improvements. And you look at we're early on autonomous driving,

0:17:31.320 --> 0:17:34.400
<v Speaker 1>we're early on the deployment of robotics. I mean, for instance,

0:17:34.440 --> 0:17:37.600
<v Speaker 1>you know, you've got Amazon, you know has a million

0:17:37.720 --> 0:17:40.400
<v Speaker 1>robots out there, and so they're very early on the curve,

0:17:40.440 --> 0:17:42.920
<v Speaker 1>but a lot of people are not. And so those

0:17:42.920 --> 0:17:44.719
<v Speaker 1>are things that over the next year. And again it's

0:17:44.760 --> 0:17:47.200
<v Speaker 1>about competition. That's where we're seeing so much spending going

0:17:47.240 --> 0:17:49.520
<v Speaker 1>to this because people know, I've got to do that.

0:17:49.760 --> 0:17:52.280
<v Speaker 1>When you see people like Meta or Amazon who are

0:17:52.280 --> 0:17:55.639
<v Speaker 1>already early users of all this and the productivity gains

0:17:55.680 --> 0:17:58.840
<v Speaker 1>they are seeing. As a company management, we've got to

0:17:58.840 --> 0:18:00.880
<v Speaker 1>do it too, and that requires spending up front.

0:18:01.600 --> 0:18:03.240
<v Speaker 3>Isn't there a chance though, that they go too far

0:18:03.280 --> 0:18:05.960
<v Speaker 3>with that spending and at some point it no longer

0:18:05.960 --> 0:18:08.360
<v Speaker 3>gets rewarded by the market. You're already starting to see

0:18:08.359 --> 0:18:10.560
<v Speaker 3>that in some of the hyper scalers, right, does that

0:18:10.600 --> 0:18:11.119
<v Speaker 3>continue on?

0:18:11.960 --> 0:18:14.120
<v Speaker 1>There's always that concern, and I think it's a legitimate

0:18:14.119 --> 0:18:16.399
<v Speaker 1>concern because at some point you can and this is

0:18:16.720 --> 0:18:18.720
<v Speaker 1>think in a capitalist economy, you know, you don't have

0:18:18.760 --> 0:18:21.560
<v Speaker 1>central planning, so everybody's rushing, you know, to go up

0:18:21.600 --> 0:18:24.600
<v Speaker 1>to the profitability typical margins come down. But I think

0:18:24.640 --> 0:18:27.560
<v Speaker 1>where we are, the demand is so explosive. It's not

0:18:27.640 --> 0:18:31.240
<v Speaker 1>a six to nine month phenomenon. So at some point

0:18:31.560 --> 0:18:33.880
<v Speaker 1>that will be a factor. Right now, you know, as

0:18:33.920 --> 0:18:36.359
<v Speaker 1>far as the eye can see, you've just got this demand,

0:18:36.359 --> 0:18:38.800
<v Speaker 1>this virtuous circle that will just keep going and going.

0:18:39.000 --> 0:18:40.679
<v Speaker 1>But it is something you always have to watch. We

0:18:40.760 --> 0:18:43.920
<v Speaker 1>know that the lifespan of industry is what happens. You

0:18:43.960 --> 0:18:46.560
<v Speaker 1>attract players, they all want to make money, and eventually

0:18:46.560 --> 0:18:48.840
<v Speaker 1>you can overbuild. I don't think it's like fiber though,

0:18:48.920 --> 0:18:50.919
<v Speaker 1>you know, fiber was much more limited. That was a

0:18:51.040 --> 0:18:55.760
<v Speaker 1>very specific application and very prone to being overbuilt.

0:18:55.840 --> 0:18:57.040
<v Speaker 5>This is just yeah, so much.

0:18:57.040 --> 0:18:59.080
<v Speaker 3>At the end of the day, data centers are just

0:18:59.080 --> 0:19:01.840
<v Speaker 3>like empty boxes. Those can't really be used for anything

0:19:01.840 --> 0:19:04.399
<v Speaker 3>else besides data centers, at least on the infrastructure side,

0:19:04.520 --> 0:19:05.600
<v Speaker 3>there's a chance we overbuild.

0:19:05.640 --> 0:19:11.000
<v Speaker 6>Now you could mind bitcoin, Yes, so true, but.

0:19:11.000 --> 0:19:12.439
<v Speaker 3>That is that is a place that it feels like

0:19:12.480 --> 0:19:13.840
<v Speaker 3>we could go too far, and a lot of money

0:19:13.880 --> 0:19:14.760
<v Speaker 3>has been put into that.

0:19:15.119 --> 0:19:17.639
<v Speaker 1>Yeah, no, it is. It is real estate. In the end,

0:19:17.800 --> 0:19:20.480
<v Speaker 1>you know what's going on there. But at the moment, again,

0:19:20.840 --> 0:19:23.639
<v Speaker 1>well everybody's watching that. It's like we're watching private credit.

0:19:23.920 --> 0:19:26.399
<v Speaker 1>You know, in terms of possible systemic risk, it's not

0:19:26.480 --> 0:19:28.679
<v Speaker 1>there yet, you know, and so you just still make

0:19:28.680 --> 0:19:29.200
<v Speaker 1>a lot of money.

0:19:29.200 --> 0:19:31.360
<v Speaker 5>And that's what we're going to continue to have these frights.

0:19:31.440 --> 0:19:33.560
<v Speaker 1>Like you know, I remember the years when Amazon made

0:19:33.560 --> 0:19:36.000
<v Speaker 1>no money and they kept reinvesting, reinvesting, and at least

0:19:36.040 --> 0:19:38.240
<v Speaker 1>once a year investors will throw up their hands and

0:19:38.280 --> 0:19:40.399
<v Speaker 1>say they will never make money and they sell the

0:19:40.440 --> 0:19:43.280
<v Speaker 1>stock off. Well, we now know how that story has ended.

0:19:43.440 --> 0:19:45.000
<v Speaker 1>And I think we're going to continue to see these

0:19:45.000 --> 0:19:47.080
<v Speaker 1>concerns with AI and the legitimate concerns.

0:19:47.119 --> 0:19:48.760
<v Speaker 5>I just think it's way early, Barbara.

0:19:48.840 --> 0:19:52.119
<v Speaker 6>Where do you an investor who already has exposure to

0:19:52.200 --> 0:19:56.720
<v Speaker 6>the megacap hyperscalers, an investor who already has exposure to energy,

0:19:57.520 --> 0:19:59.040
<v Speaker 6>where do you put new money?

0:19:59.280 --> 0:20:01.520
<v Speaker 1>Yeah, it's a pro because you know, in terms of

0:20:02.040 --> 0:20:05.200
<v Speaker 1>because you will have new companies starting new applications and

0:20:05.240 --> 0:20:06.760
<v Speaker 1>all that sort of things. So a lot of people.

0:20:07.080 --> 0:20:09.040
<v Speaker 1>You can look at the food chain, you know, it

0:20:09.080 --> 0:20:10.919
<v Speaker 1>goes into energy. Like you look at a company like

0:20:10.960 --> 0:20:15.399
<v Speaker 1>g i Vernova, very expensive, they have great backlog, but

0:20:15.440 --> 0:20:16.720
<v Speaker 1>they can only build so fast.

0:20:17.080 --> 0:20:18.480
<v Speaker 5>So where do you put the money there?

0:20:18.480 --> 0:20:20.600
<v Speaker 1>You can look at the suppliers and the components and

0:20:20.640 --> 0:20:23.280
<v Speaker 1>all that sort of thing. But for now, you know,

0:20:23.320 --> 0:20:26.119
<v Speaker 1>it's not only the hyperscalers, it's the broad comes of

0:20:26.160 --> 0:20:27.639
<v Speaker 1>the world. I mean, you saw it Broadcome did with

0:20:27.680 --> 0:20:30.760
<v Speaker 1>the announcement that Alphabet, you know, is going to be

0:20:30.760 --> 0:20:33.359
<v Speaker 1>selling their TPUs, which are basically a six you know,

0:20:33.440 --> 0:20:37.480
<v Speaker 1>customer customer chips to their customers, and so you still

0:20:37.480 --> 0:20:39.080
<v Speaker 1>a lot more to go there, and you're going to

0:20:39.160 --> 0:20:41.679
<v Speaker 1>have these kinds of announcements you know, going on, and

0:20:41.720 --> 0:20:43.959
<v Speaker 1>so that will change. Look at Alphabet, you know it is,

0:20:44.080 --> 0:20:46.879
<v Speaker 1>you know, outperformed, and just earlier this year it was

0:20:46.880 --> 0:20:49.679
<v Speaker 1>a laggard. They had any trust problems. People are like, oh,

0:20:49.680 --> 0:20:51.879
<v Speaker 1>they're gonna be left behind in the AI And now

0:20:51.960 --> 0:20:54.320
<v Speaker 1>look at it, it's like, oh, the darling, the star

0:20:54.359 --> 0:20:54.760
<v Speaker 1>of the show.

0:20:56.119 --> 0:20:59.640
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