WEBVTT - The State of the 2026 AI Trade

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

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<v Speaker 2>One of the things we're going to do is talk

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<v Speaker 2>about retirement planning. Marta Norton is exquisite out of Chicago.

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<v Speaker 3>She's with Empower.

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<v Speaker 2>I should say that Empower handles the retirement programs of

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<v Speaker 2>Bloomberg LP.

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<v Speaker 3>Do you know I have a retirement program, so.

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<v Speaker 4>I can't retire now, just keeping training.

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<v Speaker 2>I've been in the triple leveraged all cash fund with

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<v Speaker 2>Empower forever, joining us Marta and Norton. Marta, I read

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<v Speaker 2>your research note and then I look at the retirement

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<v Speaker 2>planning of Empower and Empower saying, you know what, if

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<v Speaker 2>you really believe in equities, front load you retirement contribution

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<v Speaker 2>this year.

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<v Speaker 3>Is that a good strategy for you? Are you so

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<v Speaker 3>bullish that.

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<v Speaker 2>You want to tell people, don't do your retirement contribution

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<v Speaker 2>over twelve months, load the boat the first ninety days.

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<v Speaker 5>Of course, the argument for doing that is that then

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<v Speaker 5>you capture with your contribution all the gains over the

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<v Speaker 5>course of the year. And I think when we take

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<v Speaker 5>a look at what to expect in twenty twenty six,

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<v Speaker 5>a lot of the bulk case comes down to what

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<v Speaker 5>we expect from earnings, and that relates, of course to

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<v Speaker 5>the mag seven, which are expected to deliver something along

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<v Speaker 5>the lines of what we saw in twenty twenty five.

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<v Speaker 5>But then also this broadening out story for the broader market,

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<v Speaker 5>So to the extent that we do see that come

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<v Speaker 5>to fruition, that can be a benefit of front loading

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<v Speaker 5>that contribution. But what I would also add is if

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<v Speaker 5>you're expecting a year of volatility, which is I think

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<v Speaker 5>something that we could anticipate with the AI narrative and

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<v Speaker 5>the moments of doubt that occur with that, taking advantage

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<v Speaker 5>of the utility dollar cost averaging in that can also

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<v Speaker 5>be a viable path.

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<v Speaker 6>So you have two good choices there, Marty.

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<v Speaker 7>Do we have a rotation going on maybe late last

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<v Speaker 7>year in this market or is it still going to

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<v Speaker 7>be an AI driven twenty twenty six.

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<v Speaker 6>Yeah, this is what.

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<v Speaker 5>I am wrestling with a great deal, and I think

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<v Speaker 5>there are two major arguments that people are pointing to

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<v Speaker 5>when they talk about this rotation away from tech, away

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<v Speaker 5>from AI, they point to valuations and they point to earnings.

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<v Speaker 5>I think that second second argument is a lot stronger

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<v Speaker 5>than the first argument.

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<v Speaker 6>When we look at valuations, we're.

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<v Speaker 5>Not just looking at them relative sector to one another.

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<v Speaker 5>We're looking at them relative to their own history. And

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<v Speaker 5>on that count, I would actually argue that some of

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<v Speaker 5>the mag seven have gotten a bit cheaper. And when

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<v Speaker 5>we look outside that subset, if you're looking at consumer staples,

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<v Speaker 5>if you're looking at utilities, if you're looking at some

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<v Speaker 5>of these other areas of the market, they're actually pretty pricey.

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<v Speaker 7>Are more important than ever one could argue. So we

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<v Speaker 7>had some really good earnings in twenty twenty five, you

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<v Speaker 7>expect earnings to continue strong enough in twenty six to

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<v Speaker 7>support this market.

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<v Speaker 5>I think that is a reasonable expectation. I think there's

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<v Speaker 5>a few things that are coming to head there on

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<v Speaker 5>the AI front. I think we can continue to see

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<v Speaker 5>some of that momentum from the MAG seven, from the

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<v Speaker 5>AI names. I think when we're looking at the broader market,

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<v Speaker 5>you have a few tail wins to take advantage of.

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<v Speaker 5>You have the fiscal stimulus, you have the monetary stimulus.

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<v Speaker 6>You have what some folks are.

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<v Speaker 5>Expecting to be kind of the incremental implementation of AI.

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<v Speaker 5>This one i'm a little bit more allier of. I

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<v Speaker 5>think it will take more time to really see a

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<v Speaker 5>massive earnings boost from AI implementation, but maybe on the

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<v Speaker 5>margin that's another benefit. So I guess as much as

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<v Speaker 5>I want to be skeptical on the earnings front, I

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<v Speaker 5>think it's hard to find a really negative case to

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<v Speaker 5>look at from a corporate earnings perspective, Marta.

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<v Speaker 2>The retirement planning game, going back to the risk of

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<v Speaker 2>nineteen seventy four or has been really difficult for a

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<v Speaker 2>lot of people. How many people, I mean, within all

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<v Speaker 2>the expertise of empower and all the macroeconomics and the

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<v Speaker 2>calls that you're making, how many people are behind? What

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<v Speaker 2>percentage of America is behind in their retirement.

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<v Speaker 5>Well, there's a few different ways to look at this.

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<v Speaker 5>When we take a look at access to retirement portfolios,

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<v Speaker 5>that access has improved meaningfully. I think there's numbers that

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<v Speaker 5>show of the private companies out there, we have about seventy.

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<v Speaker 3>Percent offering for one case.

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<v Speaker 5>When we look at the actual contributions, we're are seeing

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<v Speaker 5>decent savings rates. So experts recommend somewhere between twelve and

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<v Speaker 5>fifteen percent saving for retirement. When we look at what

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<v Speaker 5>numbers we saw in twenty twenty five, we see numbers

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<v Speaker 5>that kind of rival that level. I think the big

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<v Speaker 5>question is making sure that folks are engaged. When people

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<v Speaker 5>get engaged with our retirement accounts, when they're paying attention,

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<v Speaker 5>that's when you start to see the contributions take up.

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<v Speaker 5>When they're doing auto and roll features, when they're doing

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<v Speaker 5>auto escalate features, that's when you start to see real

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<v Speaker 5>improved outcomes for retirement. And there's still agains to be

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<v Speaker 5>made there.

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<v Speaker 3>What is an auto escalator feature?

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<v Speaker 5>So the idea that every year your contribution automatically increases,

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<v Speaker 5>so you don't have to go in and make an

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<v Speaker 5>active decision. You press a button and that occurs automatically

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<v Speaker 5>for you.

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<v Speaker 4>Nice should try that.

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<v Speaker 7>I don't know if I have that act great app

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<v Speaker 7>by the way and empower Oh good, yeah, it works

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<v Speaker 7>for me.

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<v Speaker 4>I know what I'm doing.

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<v Speaker 7>So for how about the younger folks? Are the younger

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<v Speaker 7>folks saving and entering.

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<v Speaker 4>Into opting into four to one k's.

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<v Speaker 7>And savings plans at a rate we'd like to see

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<v Speaker 7>how's it look for the younger folks.

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<v Speaker 5>So when we look at account balances, we're seeing, say,

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<v Speaker 5>if you're in your twenties, you're seeing an account balance

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<v Speaker 5>of somewhere around one hundred thousand. If you're looking later

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<v Speaker 5>in life, you're seeing account balances of somewhere around six hundred.

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<v Speaker 5>So we are seeing engagement from the younger folks. I

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<v Speaker 5>think this is always something that requires a lot of

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<v Speaker 5>education with workforces. When folks are entering the workforce, maybe

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<v Speaker 5>they're working on that Robinhood account, but they're not necessarily

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<v Speaker 5>thinking out decades and what retirement could look like. So

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<v Speaker 5>making sure that companies are engaging with their employees and

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<v Speaker 5>making the case because that's of course. You know what

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<v Speaker 5>Warren Buffett talks about compounding being a snowball rolling down

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<v Speaker 5>a hill. It can have such a profound impact on

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<v Speaker 5>people's ultimate outcomes.

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<v Speaker 2>Well, mister Buffet and mister Bunger also talk about don't

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<v Speaker 2>over diversify.

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<v Speaker 3>What's a trend you see it in power?

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<v Speaker 2>Given the macroeconomics, given a three year or four year

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<v Speaker 2>equity post COVID boom, are we too diversified? Are we

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<v Speaker 2>in too many fancy things other than doing basic, block

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<v Speaker 2>and tackle investing.

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<v Speaker 5>Yeah, I think at this point what we're seeing is

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<v Speaker 5>still I mean in terms of asset classes. When you

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<v Speaker 5>look at managed accounts for example, which is you know,

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<v Speaker 5>a single solution that has a range of asset classes

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<v Speaker 5>within it and investors make one choice to move into

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<v Speaker 5>that portfolio, you do see a pretty ample spread across

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<v Speaker 5>US non US fixed income. It's not overly exotic, and

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<v Speaker 5>you have seen a real benefit And I think this

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<v Speaker 5>was one of the things that came into question last year.

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<v Speaker 5>Does something like the sixty forty deliver and you did

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<v Speaker 5>see a real benefit from that style of investing, So

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<v Speaker 5>at least kind of spreading beyond the S and P

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<v Speaker 5>five hundred, I think that is something that we've seen

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<v Speaker 5>some value to Now. Now whether every single NICHE asset

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<v Speaker 5>class adds value to the same degree, that's another question.

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<v Speaker 3>Marta, Thank you so much.

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<v Speaker 2>More Empower Stay with us more from Bloomberg Surveillance coming

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<v Speaker 2>up after this.

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

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

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<v Speaker 3>This is a special moment for Bloomberg Surveillance.

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<v Speaker 2>We'd love to see our guests over the years have

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<v Speaker 2>a conviction.

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<v Speaker 3>Have a belief. Sometimes they're wrong. Has Dan and Ives

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<v Speaker 3>ever been wrong?

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<v Speaker 4>Oh?

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<v Speaker 2>You know, I thought you think there was a a

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<v Speaker 2>while back there. But he's been right enough where today

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<v Speaker 2>he will do something very cool. I've enjoyed this wonderful

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<v Speaker 2>privilege to sit with Ken Pruitt and wants Charlie Pellett

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<v Speaker 2>ring the bell of the New York Stock Exchange. Mister Ives,

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<v Speaker 2>I believe will open trading of the New York Stock

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<v Speaker 2>Exchange today and celebration of the success of the ives

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<v Speaker 2>ETF It's brought.

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<v Speaker 3>In a few few do balloons over the recent weeks.

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<v Speaker 2>Dan Ives joins us from Wedbush and celebration of nine

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<v Speaker 2>point thirty and this morning, Dan, what does it feel

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<v Speaker 2>like to join Snoop Dogg and kiss with the I

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<v Speaker 2>don't know his his?

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<v Speaker 3>You know? To these fancy people on the bell? What

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<v Speaker 3>are you going to dress appropriately?

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<v Speaker 8>I mean, I'm look I addressed appropriately?

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<v Speaker 9>Look I mean to look You're It's part of history,

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<v Speaker 9>right h What the New York Stock Machines represents in

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<v Speaker 9>terms of those walls and obviously the success that we've

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<v Speaker 9>had with odds, it's not just me, it's you know,

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<v Speaker 9>it's the team, but it's the broad belief that investments

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<v Speaker 9>have had in us in this AI revolution. So it's

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<v Speaker 9>so exciting to be a part of history this morning.

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<v Speaker 3>Is your ETF actively managed? Is it passive?

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<v Speaker 2>Has there been a strategic IVES call that's brought in

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<v Speaker 2>a few dollars?

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<v Speaker 3>Yeah?

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<v Speaker 8>Look, I mean this is all based on the ives

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<v Speaker 8>AI thirty, which is.

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<v Speaker 9>Our you know, these are our AI thirty, are thirty

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<v Speaker 9>winners in the AI Revolution, all based on our research

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<v Speaker 9>four times a year. You know, we basically switch in

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<v Speaker 9>out who I believe is more relevant less relevant. And

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<v Speaker 9>you know, the last six months and getting to a billion,

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<v Speaker 9>it's been I think a validation as investors are trying

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<v Speaker 9>to find how do you play the AI Revolution?

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<v Speaker 8>And I'm happy about the comblems and on and.

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<v Speaker 7>Just for you know, for this fund here the top

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<v Speaker 7>fund holdings is the names that Dan's been talking about

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<v Speaker 7>for a long time in video, Micron Technologies, Taiwan Semiconductor, Amazon, Alphabet, Microsoft,

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<v Speaker 7>So the names that Dan's been recommending for a long time.

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<v Speaker 4>Dan speaking of AI.

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<v Speaker 7>We know you just returned from Las Vegas the Consumer

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<v Speaker 7>Electronics Show. I'm hearing a lot about physical AI. I

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<v Speaker 7>heard that from mister Wang Jensen Wong at Uh in video.

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<v Speaker 7>What is physical AI and what are the opportunities there?

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<v Speaker 9>Yeah, look, well physical AI, it's really about autonomous robotic.

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<v Speaker 8>I mean this is now.

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<v Speaker 9>What I view is the consumer AI revolution starts in

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<v Speaker 9>terms of physical app and I think what you saw

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<v Speaker 9>with in video, they're weighing out and to end's platform

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<v Speaker 9>on autonomous We've talked about It's why we're so bulletr

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<v Speaker 9>and Tatsa, even robotaxes and the autonomous sort of vision there.

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<v Speaker 9>But this is this is the next stiege of AI.

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<v Speaker 9>But it's all fueled by the godfather of AI Jensen

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<v Speaker 9>the video.

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<v Speaker 2>I look Dan and Wells Fargo reducing their overweight. They

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<v Speaker 2>stay overweight on Microsoft from whatever it was down to

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<v Speaker 2>six sixty five down the income statement into the earning season.

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<v Speaker 2>Dan eyes with you with a six twenty five outperformer

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<v Speaker 2>in Microsoft. Where and the financial statements is the important

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<v Speaker 2>point for Microsoft earnings?

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<v Speaker 9>I mean, I think it's about Azure and cloud and growth.

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<v Speaker 9>I had to put in the context. I mean, you're

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<v Speaker 9>talking about the highest margin business that I believe the

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<v Speaker 9>streets under estimating probably by ten to fifteen percent this year.

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<v Speaker 9>And you're talking about I think the streets all the

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<v Speaker 9>underestimating about twenty five billion of incremental growth from a

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<v Speaker 9>cash book perspective, we're talking about fifteen billion that.

0:11:58.120 --> 0:12:01.400
<v Speaker 8>I don't think is factor industry models from Microsoft.

0:12:01.120 --> 0:12:04.640
<v Speaker 2>Right, Well, they're modeling fifteen percent revenue growth. So are

0:12:04.640 --> 0:12:09.599
<v Speaker 2>you saying down the income statement is the underestimation of Microsoft?

0:12:10.559 --> 0:12:13.600
<v Speaker 9>Yeah, I think I think it's underestimated from a growth

0:12:13.640 --> 0:12:17.120
<v Speaker 9>perstructive on cloud, underestimated in terms that we say on

0:12:17.240 --> 0:12:17.880
<v Speaker 9>cask FOWK.

0:12:18.040 --> 0:12:20.880
<v Speaker 8>And the reality is the enterprise AI revolution.

0:12:21.040 --> 0:12:24.080
<v Speaker 9>It all starts in Redmond and Thedella, and industry is

0:12:24.240 --> 0:12:26.680
<v Speaker 9>underestimating what this means from Microsoft.

0:12:28.120 --> 0:12:28.280
<v Speaker 4>Dan.

0:12:28.360 --> 0:12:30.959
<v Speaker 7>One of the things I heard from cees and and

0:12:31.120 --> 0:12:35.800
<v Speaker 7>Video they launched this Alpha Mayo platform. Tell us what

0:12:35.920 --> 0:12:38.280
<v Speaker 7>this is because this gets a little scary for some people.

0:12:38.320 --> 0:12:40.719
<v Speaker 9>I think, Yeah, I mean, like you could say it's

0:12:40.800 --> 0:12:45.800
<v Speaker 9>reasoning or really AI needs autonomous. It's an end to

0:12:45.920 --> 0:12:50.880
<v Speaker 9>end platform that in Video is basically laying out as

0:12:51.040 --> 0:12:56.880
<v Speaker 9>their answer for autonomous. It's really something that ultimately better

0:12:56.960 --> 0:13:01.280
<v Speaker 9>than the human driver. And I view it is just

0:13:01.400 --> 0:13:04.480
<v Speaker 9>like what Taska was doing on robo taxes, just like

0:13:04.559 --> 0:13:07.400
<v Speaker 9>what we're seeing on autonomous Nvidia is going to be

0:13:07.440 --> 0:13:10.679
<v Speaker 9>a supplier from a chip perspective, but also they're.

0:13:10.520 --> 0:13:12.760
<v Speaker 8>Going to play an ant end platform play as well.

0:13:13.120 --> 0:13:16.360
<v Speaker 2>Dan ives with us this morning with webbush a celebration,

0:13:16.520 --> 0:13:19.320
<v Speaker 2>and just under one hour he will stand at the

0:13:19.360 --> 0:13:23.160
<v Speaker 2>New York Stock Exchange with his wonderful etf It's really

0:13:23.160 --> 0:13:25.600
<v Speaker 2>done well, and the vectors from his garbman would say

0:13:25.840 --> 0:13:28.319
<v Speaker 2>from the lower left to the upper right as.

0:13:28.120 --> 0:13:30.840
<v Speaker 3>Well, Dan, I want to switch to Apple. I was

0:13:30.880 --> 0:13:32.680
<v Speaker 3>just in Paris and I'd never been.

0:13:32.559 --> 0:13:36.040
<v Speaker 2>To the Tuileries, to the Museum Rangerie it's called, which

0:13:36.080 --> 0:13:40.840
<v Speaker 2>is the those lovely simple quiet Monet paintings of the

0:13:40.880 --> 0:13:46.160
<v Speaker 2>water lilies, sterile quiet, and I witnessed their dan Ives

0:13:46.160 --> 0:13:51.120
<v Speaker 2>and I thought of you packed tourists, many many from

0:13:51.120 --> 0:13:57.199
<v Speaker 2>the Pacific Rim, holding Apple iPhones in their hands, taking photos,

0:13:57.240 --> 0:14:01.560
<v Speaker 2>taking selfies, doing YouTube bes stuff in front of the

0:14:01.679 --> 0:14:05.480
<v Speaker 2>quiet of Claude Monet of eighteen ninety, his gift to the.

0:14:05.480 --> 0:14:07.520
<v Speaker 3>Nation at World War One.

0:14:08.120 --> 0:14:12.679
<v Speaker 2>Explain Dan Ives, what I witnessed where are we in

0:14:12.960 --> 0:14:16.920
<v Speaker 2>five years with the use of the iPhone.

0:14:17.480 --> 0:14:19.840
<v Speaker 9>Look, and I think it's all about the AI coming

0:14:20.320 --> 0:14:21.600
<v Speaker 9>to the Apple ecosystem.

0:14:21.640 --> 0:14:23.000
<v Speaker 8>We talk about this is going to be the year

0:14:23.120 --> 0:14:24.200
<v Speaker 8>AI for Apple.

0:14:24.720 --> 0:14:27.240
<v Speaker 9>I mean, to my what one point five billion iPhones

0:14:27.240 --> 0:14:31.080
<v Speaker 9>in the world, I mean two point four billion iOS devices.

0:14:31.200 --> 0:14:34.720
<v Speaker 9>It's about you when you look at this next stage

0:14:34.720 --> 0:14:36.920
<v Speaker 9>for Apple, it's going to be the most important stage

0:14:37.080 --> 0:14:40.200
<v Speaker 9>I think, going to the AI revolution and they monetize

0:14:40.280 --> 0:14:41.479
<v Speaker 9>that install based.

0:14:41.200 --> 0:14:42.680
<v Speaker 8>That's going to be front and summer.

0:14:43.120 --> 0:14:46.840
<v Speaker 9>And it's why one of our top picks and in

0:14:46.840 --> 0:14:50.040
<v Speaker 9>my opinion, underestimated in terms of what the error that

0:14:50.080 --> 0:14:52.200
<v Speaker 9>they're hitting when it comes to AI.

0:14:52.960 --> 0:14:53.160
<v Speaker 4>Dan.

0:14:53.200 --> 0:14:55.840
<v Speaker 7>I know, we kind of knew the CS was going

0:14:55.880 --> 0:14:59.360
<v Speaker 7>to be all AI centric here as you talk to investors,

0:14:59.600 --> 0:15:02.840
<v Speaker 7>are you don't say any AI fatigue that maybe it's

0:15:02.880 --> 0:15:06.800
<v Speaker 7>played out, or boy, it's it's hard to handle these valuations,

0:15:06.920 --> 0:15:09.520
<v Speaker 7>or boy, their numbers are getting so big. What's the

0:15:09.560 --> 0:15:11.160
<v Speaker 7>conversations you're having with clients.

0:15:10.880 --> 0:15:15.320
<v Speaker 9>About Yeah, well, I think when you you know the

0:15:15.400 --> 0:15:17.800
<v Speaker 9>time we spend there with Nvideo and Jensen and on

0:15:17.840 --> 0:15:20.160
<v Speaker 9>the floor, you cannot come away within that.

0:15:20.240 --> 0:15:21.960
<v Speaker 8>There's an AI bubble I.

0:15:21.920 --> 0:15:23.960
<v Speaker 9>Mean we're still in the early days of play now

0:15:24.040 --> 0:15:27.280
<v Speaker 9>because you see what's happening on embedded devices on the

0:15:27.360 --> 0:15:31.080
<v Speaker 9>chip releases obviously releasage to AMD and others, and I

0:15:31.080 --> 0:15:33.960
<v Speaker 9>think it's not the tig. I think investors are starting

0:15:34.000 --> 0:15:37.280
<v Speaker 9>to realize that this next stage of the AI revolution

0:15:37.440 --> 0:15:38.080
<v Speaker 9>is now taken.

0:15:38.120 --> 0:15:41.720
<v Speaker 3>Hold Dan, help me here with this.

0:15:41.880 --> 0:15:46.960
<v Speaker 2>Paul mentioned cees. Where do the smaller AI companies fit in?

0:15:47.280 --> 0:15:49.400
<v Speaker 2>Are we going to like perplexity, Are we going to

0:15:49.440 --> 0:15:51.760
<v Speaker 2>see M and A this year for all of these

0:15:51.880 --> 0:15:54.920
<v Speaker 2>names that Claude and the rest that I don't understand.

0:15:55.240 --> 0:15:57.320
<v Speaker 3>Are we going to see an AI roll up?

0:15:58.760 --> 0:16:00.680
<v Speaker 9>I think you're gonna see a lot of acts, positions,

0:16:00.880 --> 0:16:06.160
<v Speaker 9>strategic financial acquisitions in terms of tech, which about robotics,

0:16:06.160 --> 0:16:08.760
<v Speaker 9>that's one of our favorite era games. I've still serve

0:16:08.920 --> 0:16:12.680
<v Speaker 9>robotics is in a good example. Looking the reality is

0:16:12.920 --> 0:16:15.360
<v Speaker 9>that it's an arms race that's playing out. It's gonna

0:16:15.360 --> 0:16:18.400
<v Speaker 9>be a lot of acquisitions, a lot of consolidation, and

0:16:18.480 --> 0:16:22.040
<v Speaker 9>I think that's why it's just going to be year

0:16:22.200 --> 0:16:24.600
<v Speaker 9>three of an eight to ten year build out of

0:16:24.680 --> 0:16:25.640
<v Speaker 9>the revolution.

0:16:26.320 --> 0:16:28.400
<v Speaker 2>When did you get into tech stocks, Like, were you

0:16:28.440 --> 0:16:30.920
<v Speaker 2>sitting in the student union. I've sat in the student

0:16:31.080 --> 0:16:33.720
<v Speaker 2>union at Penn State. Were you out at State College

0:16:33.720 --> 0:16:37.120
<v Speaker 2>one day and the lights shone down? Dan Eisener's was epiphany,

0:16:37.360 --> 0:16:39.320
<v Speaker 2>wear bright clothes and followed tech.

0:16:40.800 --> 0:16:42.720
<v Speaker 9>I think, look, I mean, obviously it started in my

0:16:42.880 --> 0:16:44.800
<v Speaker 9>Penn and State days. I have a lot of tend

0:16:44.880 --> 0:16:47.360
<v Speaker 9>standers here at the at the bell ring it. But

0:16:47.400 --> 0:16:49.640
<v Speaker 9>I think to me, it was really in the late

0:16:49.720 --> 0:16:54.440
<v Speaker 9>nineties starting to cover Internet. It was the recognition that

0:16:54.560 --> 0:16:57.320
<v Speaker 9>it was going to be the start of what's really

0:16:57.320 --> 0:16:59.480
<v Speaker 9>going to be a forty to fifty year tech buildout.

0:16:59.480 --> 0:17:01.760
<v Speaker 9>And I think what we're seeing today is just the

0:17:01.800 --> 0:17:02.800
<v Speaker 9>next stage of that.

0:17:03.240 --> 0:17:05.000
<v Speaker 8>It started in State College.

0:17:05.080 --> 0:17:09.800
<v Speaker 9>And obviously, you know, I'm super happy that investors have

0:17:09.840 --> 0:17:11.880
<v Speaker 9>to have supported me along the journeys.

0:17:12.720 --> 0:17:16.679
<v Speaker 7>Dan, So what's the uh, what's the key issue pushback

0:17:16.760 --> 0:17:18.800
<v Speaker 7>if any from your clients these days?

0:17:18.880 --> 0:17:19.600
<v Speaker 4>Is it valuation?

0:17:19.960 --> 0:17:23.760
<v Speaker 7>Is it just I'm just I've made my money, I'm

0:17:23.800 --> 0:17:24.800
<v Speaker 7>taking it off the table here?

0:17:24.800 --> 0:17:25.560
<v Speaker 4>What's the pushback?

0:17:26.200 --> 0:17:26.400
<v Speaker 8>Yeah?

0:17:26.400 --> 0:17:30.840
<v Speaker 9>I think evaluations, circuit of financing. Is there a two

0:17:30.840 --> 0:17:33.440
<v Speaker 9>big defail moment open the eye and I think news

0:17:33.480 --> 0:17:37.199
<v Speaker 9>are in the US try to trade negotiations parents, but

0:17:37.280 --> 0:17:40.360
<v Speaker 9>look to me, it's like we'll have these white knuckle moments.

0:17:40.359 --> 0:17:42.399
<v Speaker 9>But I said, I think techtocks are up twenty percent

0:17:42.520 --> 0:17:47.000
<v Speaker 9>this year, but it's as wegin earning season in January

0:17:47.040 --> 0:17:49.600
<v Speaker 9>and you get more into cap backs and get more

0:17:50.040 --> 0:17:51.439
<v Speaker 9>I think that's going to be the key to this

0:17:51.520 --> 0:17:52.280
<v Speaker 9>next stage.

0:17:52.480 --> 0:17:53.960
<v Speaker 3>Are the tech broke? I'm going to ask a Paul

0:17:54.000 --> 0:17:56.560
<v Speaker 3>Sweetey question. We got to go Dan, Are the tech.

0:17:56.320 --> 0:17:59.360
<v Speaker 2>Broken to grow up and finally develop dividends and dividend

0:17:59.359 --> 0:18:01.320
<v Speaker 2>growth height?

0:18:01.400 --> 0:18:03.200
<v Speaker 9>Look, I mean a bench, but I don't think now

0:18:03.280 --> 0:18:05.720
<v Speaker 9>because you want to focus on investments, right, and I

0:18:05.760 --> 0:18:09.400
<v Speaker 9>think that to me, this is an arms race. It's

0:18:09.440 --> 0:18:13.199
<v Speaker 9>ten thirty pm in the AI party goes to four am.

0:18:13.359 --> 0:18:15.800
<v Speaker 9>Don't worry if there's some glass dropping the dance for.

0:18:16.200 --> 0:18:21.120
<v Speaker 2>Okay, Dani's congratulations on the thank you initiative of your GIF.

0:18:21.200 --> 0:18:22.479
<v Speaker 3>What was the number he brought in?

0:18:22.520 --> 0:18:24.240
<v Speaker 4>It was like, I think there's like a billion dollars

0:18:24.280 --> 0:18:24.600
<v Speaker 4>in THEIRS.

0:18:25.000 --> 0:18:29.560
<v Speaker 3>One billion dollars for That's a nice number. Stay with us.

0:18:29.800 --> 0:18:40.080
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:18:40.080 --> 0:18:44.000
<v Speaker 1>This is the Bloomberg Surveillance podcast. Listen live each weekday

0:18:44.040 --> 0:18:47.439
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:18:47.480 --> 0:18:50.440
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:18:50.520 --> 0:18:54.080
<v Speaker 1>on Amazon Alexa from our flagship New York station. Just

0:18:54.119 --> 0:18:56.679
<v Speaker 1>say Alexa play Bloomberg eleven thirty.

0:18:57.080 --> 0:18:59.440
<v Speaker 2>Wendy Shower joins us. Now as we go, look at

0:19:00.200 --> 0:19:03.400
<v Speaker 2>grebs there. If you do the AI thing like your students,

0:19:03.400 --> 0:19:07.520
<v Speaker 2>and I do, Professor Schiller up at Brown University, It's

0:19:07.520 --> 0:19:12.359
<v Speaker 2>something like Jefferson, a strict constructionist, worried the Constitution didn't

0:19:12.440 --> 0:19:16.000
<v Speaker 2>grant power to buy territory. Let's start with the basics,

0:19:16.000 --> 0:19:21.040
<v Speaker 2>as President Trump trying to buy territory in Greenland or Venezuela.

0:19:22.560 --> 0:19:26.920
<v Speaker 10>Well, Tom and Paul and Lisa. Stephen Miller is one

0:19:26.920 --> 0:19:30.159
<v Speaker 10>of his chief domestic advisors, said, yeah, they want to

0:19:30.200 --> 0:19:33.639
<v Speaker 10>buy Greenland. They want to control Greenland somehow. And if

0:19:33.640 --> 0:19:35.800
<v Speaker 10>they want to do that, at least the most famous

0:19:35.840 --> 0:19:40.000
<v Speaker 10>precedent would indicate they need Congress's permission in a vote

0:19:40.160 --> 0:19:42.880
<v Speaker 10>to authorize using US dollars to do that.

0:19:43.520 --> 0:19:45.080
<v Speaker 3>Is that a Louisiana purchase.

0:19:46.200 --> 0:19:48.320
<v Speaker 10>It is a Louisiana purchase, and we're going to buy

0:19:48.600 --> 0:19:51.280
<v Speaker 10>a major territory. Now, you know, a lot of people

0:19:51.320 --> 0:19:53.920
<v Speaker 10>don't know the scope of Louisiana purchase, how much land

0:19:53.960 --> 0:19:56.080
<v Speaker 10>that was and why it was so important, you know,

0:19:56.160 --> 0:19:58.760
<v Speaker 10>to go west and sort of opening that entire gateway,

0:20:00.040 --> 0:20:02.320
<v Speaker 10>solidifying I think, US expansion.

0:20:03.240 --> 0:20:04.359
<v Speaker 6>So it's really going.

0:20:04.280 --> 0:20:06.960
<v Speaker 10>To have to be a justification when again, people are

0:20:06.960 --> 0:20:10.880
<v Speaker 10>worried about things at home, the president seems to be focusing,

0:20:10.920 --> 0:20:14.240
<v Speaker 10>with some exceptions, on matters abroad.

0:20:14.240 --> 0:20:17.879
<v Speaker 7>Wendy, should we be surprised that Congress is giving the

0:20:17.880 --> 0:20:21.640
<v Speaker 7>president a fair amount of leeway here on these international

0:20:21.720 --> 0:20:25.840
<v Speaker 7>efforts in Venezuela, maybe Greenland, maybe some other areas.

0:20:26.000 --> 0:20:28.480
<v Speaker 4>Should Congress be taking a larger role here?

0:20:29.640 --> 0:20:32.320
<v Speaker 10>Well, you know, on Venezuela, you know, the President of

0:20:32.400 --> 0:20:36.720
<v Speaker 10>States can take military action without talking to Congress, without

0:20:36.760 --> 0:20:39.360
<v Speaker 10>telling Congress for some limited.

0:20:39.000 --> 0:20:39.680
<v Speaker 6>Period of time.

0:20:39.840 --> 0:20:42.120
<v Speaker 10>And you know, the technicalities of the War Powers Act

0:20:42.320 --> 0:20:44.520
<v Speaker 10>is really boots on the ground, troops that are going

0:20:44.600 --> 0:20:46.800
<v Speaker 10>to be there. You have about forty five days, then

0:20:46.880 --> 0:20:48.800
<v Speaker 10>you have to ask permission again for forty five days.

0:20:48.800 --> 0:20:50.879
<v Speaker 10>Then you need an authorization of military force like we

0:20:50.880 --> 0:20:51.480
<v Speaker 10>had in Iraq.

0:20:52.160 --> 0:20:53.720
<v Speaker 6>That's the rule, that's the law.

0:20:53.880 --> 0:20:58.200
<v Speaker 10>The president seems to find ways of exercising presidential.

0:20:57.720 --> 0:20:59.200
<v Speaker 6>Power without following the law.

0:20:59.240 --> 0:21:01.680
<v Speaker 10>But right now, he is within the bounds of presidential

0:21:01.680 --> 0:21:02.960
<v Speaker 10>power in Venezuela.

0:21:03.080 --> 0:21:04.600
<v Speaker 6>Greenland's totally different.

0:21:04.680 --> 0:21:07.520
<v Speaker 10>And you're seeing Republican senators jump, you know, really get

0:21:07.560 --> 0:21:09.440
<v Speaker 10>out there very quickly.

0:21:09.400 --> 0:21:12.080
<v Speaker 6>And say, we're not buying Greenland. What are we doing?

0:21:12.119 --> 0:21:14.080
<v Speaker 6>We don't need Greenland. This doesn't seem to be what

0:21:14.080 --> 0:21:17.320
<v Speaker 6>we should be focusing on. So you've got some prominent

0:21:17.400 --> 0:21:20.040
<v Speaker 6>Republican voices in the Senate saying, no, we're not going

0:21:20.080 --> 0:21:20.600
<v Speaker 6>to approve this.

0:21:21.160 --> 0:21:23.080
<v Speaker 10>So I don't know how he moves money from the

0:21:23.119 --> 0:21:25.760
<v Speaker 10>Treasury somehow to buy Greenland without that support, but it's

0:21:25.760 --> 0:21:29.280
<v Speaker 10>a bigger matter. Republicans don't love to get involved in

0:21:29.280 --> 0:21:33.240
<v Speaker 10>these conflicts without any endgame, except, of course, a rock

0:21:33.320 --> 0:21:34.000
<v Speaker 10>under George W.

0:21:34.080 --> 0:21:34.359
<v Speaker 3>Bush.

0:21:34.680 --> 0:21:36.800
<v Speaker 10>So we're going into an election year. How do you

0:21:36.800 --> 0:21:39.240
<v Speaker 10>tell your constituents this is what we should be doing.

0:21:39.600 --> 0:21:42.760
<v Speaker 10>And Trump hasn't given them a really clear explanation they

0:21:42.760 --> 0:21:44.040
<v Speaker 10>could use with their constituents.

0:21:45.280 --> 0:21:48.360
<v Speaker 7>So politically, how does this play in an election year

0:21:48.440 --> 0:21:51.480
<v Speaker 7>for the Republicans and the Democrats? Here with President Trump,

0:21:51.800 --> 0:21:54.080
<v Speaker 7>like many presidents do here at the stage of their

0:21:55.040 --> 0:21:58.320
<v Speaker 7>you know, in a second term, focusing on international efforts,

0:21:58.359 --> 0:22:01.680
<v Speaker 7>how does this play domestically, do you thinkolitically well.

0:22:01.440 --> 0:22:04.399
<v Speaker 10>Republicans have argued for limited government, they supported those they

0:22:04.440 --> 0:22:05.800
<v Speaker 10>supported cutting governments.

0:22:05.840 --> 0:22:08.719
<v Speaker 6>You know, spending can go arise. We saw in Minnesota.

0:22:08.800 --> 0:22:11.040
<v Speaker 10>You know, things if they're not watched, we can lose

0:22:11.040 --> 0:22:13.639
<v Speaker 10>a lot of money to inefficiency and corruption. That's a

0:22:13.680 --> 0:22:17.480
<v Speaker 10>winning message with most voters. But how does that improve.

0:22:17.119 --> 0:22:18.800
<v Speaker 6>Voters' lives right now?

0:22:19.080 --> 0:22:21.639
<v Speaker 10>And the Democrats have the task without being in power

0:22:21.720 --> 0:22:23.960
<v Speaker 10>of saying, if you give us power, we will make

0:22:24.000 --> 0:22:27.240
<v Speaker 10>your life better on these dimensions, and Republicans now are

0:22:27.280 --> 0:22:30.360
<v Speaker 10>sort of saddled with explaining how they can control the

0:22:30.520 --> 0:22:34.159
<v Speaker 10>entire federal government and not make things better for people.

0:22:34.200 --> 0:22:37.760
<v Speaker 6>And going into Greenland and Venezuela doesn't really show voters there,

0:22:37.840 --> 0:22:40.359
<v Speaker 6>So that both parties face some challenges. They're kind of

0:22:40.400 --> 0:22:41.320
<v Speaker 6>inverse of each other.

0:22:41.520 --> 0:22:43.720
<v Speaker 2>Want to show here with us with Brown University, can't

0:22:43.720 --> 0:22:46.480
<v Speaker 2>say enough about our academic effort and new treats out

0:22:46.720 --> 0:22:49.720
<v Speaker 2>an inequality across states in America.

0:22:49.880 --> 0:22:52.400
<v Speaker 3>At Cambridge, we're celebrating that as well. Paul.

0:22:52.640 --> 0:22:55.280
<v Speaker 2>In the old days, you and I studied the Louisiana purchase,

0:22:55.720 --> 0:22:58.240
<v Speaker 2>you know, before Duke basketball game, we read like six

0:22:58.320 --> 0:23:02.080
<v Speaker 2>pages in the cliff notes, David Rubinstein. Now at the archives,

0:23:02.520 --> 0:23:06.200
<v Speaker 2>you go in you can see the actual photo images

0:23:06.200 --> 0:23:09.120
<v Speaker 2>of the seven page document. You can click and get

0:23:09.160 --> 0:23:12.520
<v Speaker 2>a transcription. So here's where we're heading, Professor Schiller, I'm

0:23:12.520 --> 0:23:16.320
<v Speaker 2>making this up, folks. Treaty between the United States of

0:23:16.359 --> 0:23:19.639
<v Speaker 2>America and the Kingdom of Denmark, the President of the

0:23:19.720 --> 0:23:22.960
<v Speaker 2>United States of America and the First Council of the

0:23:23.040 --> 0:23:26.399
<v Speaker 2>Kingdom of Denmark and the name of the Danish people,

0:23:26.960 --> 0:23:31.479
<v Speaker 2>designed to remove all soorts of misunderstanding relative to the

0:23:31.640 --> 0:23:34.320
<v Speaker 2>food of happiness and all the rest of it. Wendy,

0:23:34.520 --> 0:23:38.440
<v Speaker 2>we are we heading towards, you know, almost a Versailles

0:23:38.480 --> 0:23:42.000
<v Speaker 2>hallimerror's document signing with Denmark.

0:23:43.520 --> 0:23:46.480
<v Speaker 6>Well again, you know, to get we know this from history.

0:23:46.680 --> 0:23:50.480
<v Speaker 6>Presidents need the Senate to approve treaties. That's the rule

0:23:50.680 --> 0:23:53.440
<v Speaker 6>that's in the Constitution. You know, you can't really get

0:23:53.480 --> 0:23:53.919
<v Speaker 6>around that.

0:23:54.320 --> 0:23:56.439
<v Speaker 10>So he could sign a document and they can have

0:23:56.480 --> 0:23:59.399
<v Speaker 10>some ceremony, but it wouldn't have any standing unless the

0:23:59.480 --> 0:24:00.800
<v Speaker 10>Senate of roofs the treaty.

0:24:00.880 --> 0:24:02.040
<v Speaker 6>And we know we know.

0:24:02.040 --> 0:24:04.840
<v Speaker 10>That Senates have rejected treaties in the past, as Jimmy

0:24:04.840 --> 0:24:08.920
<v Speaker 10>Carter on Sault too. So you can get rejected, and

0:24:09.119 --> 0:24:11.000
<v Speaker 10>certainly I think this is the thing that.

0:24:11.400 --> 0:24:12.680
<v Speaker 6>The Republicans want to avoid.

0:24:12.880 --> 0:24:15.760
<v Speaker 10>The Republicans in Congress now are running from behind to

0:24:15.840 --> 0:24:18.959
<v Speaker 10>keep control of the House and maybe even the Senate,

0:24:19.440 --> 0:24:22.280
<v Speaker 10>and they need something to help them get back into

0:24:22.320 --> 0:24:25.320
<v Speaker 10>the game. You know, having to attend a signing ceremony

0:24:25.359 --> 0:24:28.000
<v Speaker 10>on purchasing Greenland is not going to get the Republicans

0:24:28.240 --> 0:24:30.440
<v Speaker 10>back in the game to hold power in twenty twenty six.

0:24:30.600 --> 0:24:34.520
<v Speaker 3>Well, this is the Detroit Lions blue button. Excuse me, Paul,

0:24:34.600 --> 0:24:37.160
<v Speaker 3>this is a huge deal. The Senate, we don't know.

0:24:37.200 --> 0:24:39.879
<v Speaker 3>As Professor Schulwood just said, it's up for grabs.

0:24:40.040 --> 0:24:43.160
<v Speaker 7>It is so again, we're the news is coming fast

0:24:43.240 --> 0:24:44.480
<v Speaker 7>and Florida furious.

0:24:44.600 --> 0:24:44.959
<v Speaker 4>Wendy.

0:24:45.000 --> 0:24:49.200
<v Speaker 7>We had this Ice Minneapolis shooting kind of raising questions

0:24:49.280 --> 0:24:53.080
<v Speaker 7>just about Ice in general and how Ice interacts with

0:24:53.320 --> 0:24:57.080
<v Speaker 7>citizens and non citizens. Is this a political liability for

0:24:57.119 --> 0:24:59.399
<v Speaker 7>the president or is this in fact play up to

0:25:00.200 --> 0:25:02.360
<v Speaker 7>kind of what his base is looking for.

0:25:03.640 --> 0:25:05.840
<v Speaker 10>Well, I mean, his core base supports him really no

0:25:05.960 --> 0:25:09.000
<v Speaker 10>matter what he does. And remember he's not actually running

0:25:09.040 --> 0:25:12.880
<v Speaker 10>for anything in November. But we've seen with George Floyd

0:25:12.920 --> 0:25:16.960
<v Speaker 10>in Minneapolis in particular, also how this event could catalyze

0:25:17.000 --> 0:25:20.919
<v Speaker 10>and organize what have been resistance movements across the country

0:25:20.960 --> 0:25:23.080
<v Speaker 10>to ICE and the placement of the National Guard in

0:25:23.160 --> 0:25:26.040
<v Speaker 10>major cities, and that can really bring it all together

0:25:26.160 --> 0:25:29.639
<v Speaker 10>under the umbrella of overreach and overstepping power.

0:25:29.960 --> 0:25:32.119
<v Speaker 6>We know that the vast majority of Americans are the vast.

0:25:32.000 --> 0:25:35.840
<v Speaker 10>Majority sixty three percent or so disapprove of ICE tactics,

0:25:36.160 --> 0:25:38.639
<v Speaker 10>So this is not going to help that number with

0:25:38.760 --> 0:25:42.080
<v Speaker 10>Republicans and Independents are in that mix as our Republican voter.

0:25:42.240 --> 0:25:44.720
<v Speaker 10>So you have to ask yourself, if your Congress, do

0:25:44.760 --> 0:25:47.439
<v Speaker 10>you want to defend these measures consistently?

0:25:47.760 --> 0:25:50.560
<v Speaker 6>That the real power Trump has now still.

0:25:50.280 --> 0:25:53.320
<v Speaker 10>Over the Pulkans and Congress is the primaries. He can

0:25:53.400 --> 0:25:56.040
<v Speaker 10>swoop in and shift the primary. At least we saw

0:25:56.080 --> 0:25:58.280
<v Speaker 10>that in the fall. If he can still do that,

0:25:58.720 --> 0:26:01.320
<v Speaker 10>they have to stay loyal to him because they don't

0:26:01.359 --> 0:26:04.320
<v Speaker 10>want him to come into their backyard and get them

0:26:04.320 --> 0:26:06.040
<v Speaker 10>a primary challenge that they can't win.

0:26:06.440 --> 0:26:10.320
<v Speaker 2>Wendy, thank you so much, Professor Schuller of Brown At University.

0:26:10.600 --> 0:26:11.320
<v Speaker 3>Stay with us.

0:26:11.560 --> 0:26:21.879
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:26:21.880 --> 0:26:25.760
<v Speaker 1>This is the Bloomberg Surveillance Podcast listen live each weekday

0:26:25.800 --> 0:26:28.840
<v Speaker 1>starting at seven am Eastern on Apple Cocklay and Android

0:26:28.840 --> 0:26:31.879
<v Speaker 1>Auto with the Bloomberg Business App. You can also listen

0:26:31.960 --> 0:26:35.240
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:26:35.760 --> 0:26:39.880
<v Speaker 1>Just Say Alexa, Play Bloomberg eleven thirty with our newspapers

0:26:39.920 --> 0:26:40.600
<v Speaker 1>Lisa Manteto.

0:26:40.760 --> 0:26:43.440
<v Speaker 11>Okay, so we've all heard about AI taking over a

0:26:43.440 --> 0:26:45.960
<v Speaker 11>lot of the mundane tests at work, right, the stuff

0:26:46.000 --> 0:26:48.360
<v Speaker 11>you don't want to do. The thought is that it's

0:26:48.359 --> 0:26:50.840
<v Speaker 11>going to for you to concentrate on the important stuff, right,

0:26:50.840 --> 0:26:53.840
<v Speaker 11>to focus on that. But some executive Attollia Wall Street Journal,

0:26:53.880 --> 0:26:56.720
<v Speaker 11>there is a downside to that, and they say that

0:26:56.720 --> 0:27:00.680
<v Speaker 11>that quote busy work is what gives your brain a break,

0:27:01.080 --> 0:27:04.480
<v Speaker 11>so it prevents burnout because you're taking a break and

0:27:04.520 --> 0:27:06.880
<v Speaker 11>that break from doing all those mony, you know, from

0:27:07.200 --> 0:27:11.120
<v Speaker 11>doing those tasks, it makes you think more and it

0:27:11.160 --> 0:27:13.880
<v Speaker 11>gives you these creative sparks. So they're saying you need

0:27:14.119 --> 0:27:16.000
<v Speaker 11>the conversation in the kitchen.

0:27:16.080 --> 0:27:19.200
<v Speaker 3>Last study is that what it's come up.

0:27:19.480 --> 0:27:22.199
<v Speaker 11>So they're saying you need that busy work to spark

0:27:22.280 --> 0:27:23.920
<v Speaker 11>some creative you know energy.

0:27:24.000 --> 0:27:25.800
<v Speaker 3>Empty the dishwasher, Yes.

0:27:25.720 --> 0:27:28.720
<v Speaker 11>Like that's mundane work, and she can she can get

0:27:28.760 --> 0:27:31.680
<v Speaker 11>some great creative energy from doing the dish from emptying

0:27:31.720 --> 0:27:35.040
<v Speaker 11>the dishwasher. But that's where there's it's a different side

0:27:35.080 --> 0:27:37.200
<v Speaker 11>to it because we've always you know, heard, you know

0:27:37.320 --> 0:27:39.639
<v Speaker 11>how the benefits of you know, getting rid of the

0:27:39.720 --> 0:27:40.320
<v Speaker 11>mundane task.

0:27:40.400 --> 0:27:41.280
<v Speaker 6>But they're saying we need them.

0:27:41.320 --> 0:27:43.719
<v Speaker 7>See, I'm kind of a task granted person as opposed

0:27:43.720 --> 0:27:46.919
<v Speaker 7>to the white on the weekend, the whiteboard all that.

0:27:47.080 --> 0:27:48.560
<v Speaker 4>No, thank you, No you don't.

0:27:48.600 --> 0:27:50.600
<v Speaker 3>You don't make a list on the weekend.

0:27:50.760 --> 0:27:53.000
<v Speaker 4>No no, but I just list.

0:27:53.840 --> 0:27:54.400
<v Speaker 3>No no.

0:27:54.440 --> 0:27:58.240
<v Speaker 2>My father was the absolute worst, and because of him,

0:27:58.600 --> 0:28:01.680
<v Speaker 2>there's never been a list.

0:28:02.359 --> 0:28:04.480
<v Speaker 4>Buy and low, sell high. That's I can follow that.

0:28:04.840 --> 0:28:05.840
<v Speaker 6>There you go, There you go.

0:28:06.040 --> 0:28:08.280
<v Speaker 11>Okay, we know food costs are on the rise, right,

0:28:08.280 --> 0:28:11.200
<v Speaker 11>we always talk about that. But Bloomberg has this interesting

0:28:11.280 --> 0:28:12.760
<v Speaker 11>article on the terminal. You got to check it out.

0:28:12.800 --> 0:28:16.640
<v Speaker 11>It's saying that shum, some chefs they're turning to trash

0:28:17.119 --> 0:28:19.640
<v Speaker 11>to create new menus. Now stay with me. Okay, I'm

0:28:19.680 --> 0:28:22.320
<v Speaker 11>not talking about they're going in the garbage. Okay, they're

0:28:22.320 --> 0:28:25.159
<v Speaker 11>not going in the garbage, but they're doing these zero

0:28:25.280 --> 0:28:29.240
<v Speaker 11>waste menus. So they're using ingredients that they would normally

0:28:29.520 --> 0:28:33.439
<v Speaker 11>throw out like things like mushroom powder made from stems trimmings,

0:28:33.840 --> 0:28:35.760
<v Speaker 11>But you wouldn't know by the price because they're creating

0:28:35.800 --> 0:28:36.840
<v Speaker 11>these tasting menus that.

0:28:36.840 --> 0:28:38.840
<v Speaker 6>Cost one hundred and sixty dollars.

0:28:38.880 --> 0:28:41.960
<v Speaker 11>Nice, So they're making a profit on things that they

0:28:42.000 --> 0:28:45.040
<v Speaker 11>would have thrown out. So it's a different look into

0:28:45.080 --> 0:28:49.520
<v Speaker 11>how companies are dealing with the increase of food prices.

0:28:50.360 --> 0:28:51.600
<v Speaker 6>But there's a lot of waste.

0:28:51.600 --> 0:28:53.480
<v Speaker 11>Like there's a report it shows more than one billion

0:28:53.480 --> 0:28:54.360
<v Speaker 11>tons of food.

0:28:54.120 --> 0:28:58.280
<v Speaker 6>Gets tossed in the world each year. Restaurants about thirty

0:28:58.360 --> 0:28:59.520
<v Speaker 6>percent of that total.

0:29:00.280 --> 0:29:01.640
<v Speaker 11>A lot of it is, you know, from people when

0:29:01.640 --> 0:29:03.400
<v Speaker 11>you're done eating, you just kind of throw your food out,

0:29:03.440 --> 0:29:05.000
<v Speaker 11>but a lot of it is from stuff that they

0:29:05.000 --> 0:29:06.920
<v Speaker 11>could reuse that they choose not to.

0:29:07.200 --> 0:29:07.320
<v Speaker 2>Well.

0:29:07.760 --> 0:29:09.280
<v Speaker 7>I think part of the problem is just in the US.

0:29:09.360 --> 0:29:12.240
<v Speaker 7>I noticed it is just thes are just out of

0:29:12.400 --> 0:29:14.840
<v Speaker 7>control and they're embarrassing.

0:29:14.880 --> 0:29:17.680
<v Speaker 4>It's ridiculous, you know, I mean, now we're we ordered,

0:29:17.720 --> 0:29:19.040
<v Speaker 4>we split it, and we split what we ordered.

0:29:19.080 --> 0:29:21.720
<v Speaker 2>Last night, major you shout out in New York City,

0:29:21.760 --> 0:29:25.440
<v Speaker 2>they led the way. City Harvest has been brilliant in US. Yes,

0:29:25.760 --> 0:29:27.720
<v Speaker 2>is a great charity. What else do you give me

0:29:27.760 --> 0:29:28.080
<v Speaker 2>one more.

0:29:28.120 --> 0:29:29.640
<v Speaker 11>Okay, I'll give you one more because we were talking

0:29:29.680 --> 0:29:32.680
<v Speaker 11>about you know, the someone mentioned earlier, the dry January, right,

0:29:32.680 --> 0:29:39.640
<v Speaker 11>people drinking a lot less. Okay, so this is the

0:29:39.680 --> 0:29:41.640
<v Speaker 11>sober party girl revolution.

0:29:41.920 --> 0:29:42.240
<v Speaker 5>Okay.

0:29:42.280 --> 0:29:44.400
<v Speaker 11>This is in the New York Times. They had like

0:29:44.440 --> 0:29:46.480
<v Speaker 11>over one hundred people who went to this New Year's

0:29:46.520 --> 0:29:49.880
<v Speaker 11>place called the Maze. You know, those are like those

0:29:50.040 --> 0:29:52.640
<v Speaker 11>private clubs that people pay memberships for.

0:29:53.040 --> 0:29:54.320
<v Speaker 6>But the difference with this.

0:29:54.200 --> 0:29:57.760
<v Speaker 11>One is that it does not serve alcohol. So it

0:29:58.000 --> 0:30:01.360
<v Speaker 11>costs about their annual dues or by three three hundred

0:30:01.360 --> 0:30:03.240
<v Speaker 11>dollars a year, you have a one time fee of

0:30:03.240 --> 0:30:05.720
<v Speaker 11>about fifteen hundred dollars. All that you get, you know,

0:30:05.760 --> 0:30:08.239
<v Speaker 11>the fancy chairs, and you get the nice spaces and

0:30:08.280 --> 0:30:12.080
<v Speaker 11>the fancy restaurant dishes, but you get no alcohol. And

0:30:12.120 --> 0:30:16.160
<v Speaker 11>they're saying this is the trend. People are drinking less alcohol,

0:30:16.200 --> 0:30:18.040
<v Speaker 11>and they want to go to these places where they

0:30:18.040 --> 0:30:20.000
<v Speaker 11>don't have to worry about other drunk people, you know,

0:30:20.080 --> 0:30:20.760
<v Speaker 11>being an issue.

0:30:20.880 --> 0:30:23.440
<v Speaker 4>What percentage of them are all gummied up when they go.

0:30:23.360 --> 0:30:26.560
<v Speaker 6>Into today That was not mentioned in the article.

0:30:26.680 --> 0:30:30.680
<v Speaker 11>Yeah, but they're just saying that they want members to

0:30:30.720 --> 0:30:32.160
<v Speaker 11>remain sober on site.

0:30:32.280 --> 0:30:34.160
<v Speaker 4>You don't want any for drinking on their.

0:30:34.000 --> 0:30:36.920
<v Speaker 11>Club, and people are paying to have this membership over

0:30:36.960 --> 0:30:37.800
<v Speaker 11>three thousand.

0:30:37.480 --> 0:30:38.040
<v Speaker 4>Dollars a year.

0:30:38.320 --> 0:30:41.320
<v Speaker 2>The newspaper's Lisa Mateo there with another lecture for Time

0:30:41.440 --> 0:30:44.280
<v Speaker 2>King greatly appreciate that this morning.

0:30:45.000 --> 0:30:49.880
<v Speaker 1>This is the Bloomberg Surveillance Podcast, available on Apple, Spotify,

0:30:49.960 --> 0:30:54.240
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:30:54.400 --> 0:30:57.600
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0:30:57.760 --> 0:31:01.560
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0:31:01.880 --> 0:31:04.960
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0:31:05.280 --> 0:31:07.280
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