WEBVTT - Rate Cut Bets Spur Modest Market Gains

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

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<v Speaker 2>Joining you so.

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<v Speaker 3>From Minnesota, Brian Belski with this Rudia Mellis this morning.

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<v Speaker 3>What was it like Brian Belski for The Globe and

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<v Speaker 3>Mail to say you're a Canadian.

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<v Speaker 4>Well, thank you so much.

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<v Speaker 5>It's always great to be honest with you guys. And

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<v Speaker 5>by the way, Lisa Miteo is talking about what about Me?

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<v Speaker 5>In terms of the AI, there's a fantastic song from

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<v Speaker 5>nineteen eighty four sung by Moving Pictures. It's called what

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<v Speaker 5>About Me? And you could play that with respect to AI.

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<v Speaker 5>But I think for years, you know, our mo for

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<v Speaker 5>an amazing thirteen years and seven months, and I think

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<v Speaker 5>that it was a perfect fit for us when we

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<v Speaker 5>left Oppenheimer, because we could combine the culture of Minnesota

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<v Speaker 5>here with what we brought to Oppenheimer. I'm sorry to

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<v Speaker 5>BEMO with respect to our institutional focus in the US

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<v Speaker 5>and working in New York for over twenty years, so

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<v Speaker 5>a lot of people thought we.

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<v Speaker 4>Were from Canada, and I'm not going to lie. I

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<v Speaker 4>played it up.

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<v Speaker 5>When I was seeing to seeing Canadian clients and went

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<v Speaker 5>into the Minnesota I accent, you know a little bit.

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<v Speaker 4>So you know, we had a wonderful experience at BIMO.

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<v Speaker 5>We still hope that we may be partners going forward,

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<v Speaker 5>and it was an amazing experience.

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<v Speaker 3>What happens after we get the economic data we're not

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<v Speaker 3>getting now, what does stocks do?

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<v Speaker 5>It's a wonderful question because I think we're in kind

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<v Speaker 5>of this conundrum right now. The markets actually have held

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<v Speaker 5>in there a little bit better than we thought. We

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<v Speaker 5>thought we'd actually get a little bit more of a

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<v Speaker 5>pullback here. Maybe one of the problems with the market

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<v Speaker 5>is there are too many bulls here at the end

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<v Speaker 5>of this big bull site, or at least the end

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<v Speaker 5>of the big move this year. And we really believe

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<v Speaker 5>that Macro has really done a disservice to investors really

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<v Speaker 5>since two thousand and nine.

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<v Speaker 4>Now, your question is what happens when we get a

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<v Speaker 4>flood of all this.

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<v Speaker 5>Data again, it could be information overload, and at the

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<v Speaker 5>end of the day, we're kind of looking forward with

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<v Speaker 5>respect to what the oh, what's going to be in

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<v Speaker 5>terms of these job losses that we keep hearing about

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<v Speaker 5>and what the FED is going to do in twenty

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<v Speaker 5>twenty six. I think this backup and yields to five

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<v Speaker 5>percent clearly has put a dampening on the broadening out

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<v Speaker 5>trade on a near term basis. We still think longer

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<v Speaker 5>term rates a year from now will be lower, and

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<v Speaker 5>that will actually be very very good for the broadening

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<v Speaker 5>out trade into small.

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<v Speaker 4>Gap into value, into things like dividend growth as well.

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<v Speaker 6>Brian, for those that are concerned about valuation in this market,

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<v Speaker 6>I think they may be focus in particular on kind

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<v Speaker 6>of this AI trade and kind of the has the

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<v Speaker 6>AI phenomenon across the economy, not just stack Has that

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<v Speaker 6>created a bubble in the market?

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<v Speaker 7>How do you kind of address that issue?

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<v Speaker 5>Well, nice to see if Paul and waves you the

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<v Speaker 5>other day when I was in studios.

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<v Speaker 4>It's kind of fun.

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<v Speaker 5>Anyway, I think that bubble, I know, I'm sorry that

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<v Speaker 5>bubble is one of the most overused phrases in investments

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<v Speaker 5>and in finance, just like dysfunctional family in most families.

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<v Speaker 5>We'll find that out in about three weeks from today

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<v Speaker 5>or tomorrow in terms of Thanksgiving.

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<v Speaker 4>But anyway, I would say, I would say this that

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<v Speaker 4>even when you're leading.

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<v Speaker 5>Up to this interview, you talked about Qualcom, and Qualcom

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<v Speaker 5>is a great company, but you see how Qualcom's running

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<v Speaker 5>their business relative to some of their chip makers. We're

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<v Speaker 5>seeing massive differentiation across companies. Back in the nineties, ninety nine,

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<v Speaker 5>two thousand, we didn't have a lot of differentiation. All

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<v Speaker 5>stocks that had anything to do with dot Com we

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<v Speaker 5>used to call them dot bomb. After that, we're all

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<v Speaker 5>kind of moving together. You're starting to see massive fundamental

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<v Speaker 5>and performance deviations with respect to the diffusion and how

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<v Speaker 5>these companies are. And so I don't think all companies

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<v Speaker 5>are created equal in the AI space, and I think

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<v Speaker 5>saying bubble is just a scare tactic.

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<v Speaker 4>I would say also this, Paul, I.

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<v Speaker 5>Really want you to think about the late nineties and

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<v Speaker 5>how much everyone was making money. And what I mean

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<v Speaker 5>by everybody is you had the big investment banks, had

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<v Speaker 5>these these amazing and these huge IPOs, these huge secondary offerings,

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<v Speaker 5>and most importantly, these business combinations.

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<v Speaker 4>A lot of mergers and acquisitions.

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<v Speaker 5>That were done with stock, where companies were buying other

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<v Speaker 5>companies with stock that they had no value because the

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<v Speaker 5>stock went up and they were taking that appreciation of

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<v Speaker 5>the stock to buy another company. We're not seeing any

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<v Speaker 5>of that yet, So when we see more of that frothy, frivolous.

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<v Speaker 4>Type of activity, we would become a little bit more worried.

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<v Speaker 6>On the AI side, paper buying real companies, think AOL

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<v Speaker 6>buying time Warner.

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<v Speaker 7>That was the trade of that decade.

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<v Speaker 6>Brian talk to us about earning share where you know,

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<v Speaker 6>kind of as seventy percent away through earnings. Seems to

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<v Speaker 6>be pretty solid earning spree for Q three after a

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<v Speaker 6>good Q two as well. Is this enough to support

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<v Speaker 6>this market?

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<v Speaker 5>We think it is, and that's what kept us bullish

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<v Speaker 5>after the April time period where we saw the out

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<v Speaker 5>year period with respect to twenty twenty six versus twenty

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<v Speaker 5>twenty five earnings revisions.

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<v Speaker 4>Really begin to bottom on.

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<v Speaker 5>In turn, we think that's really what's driven a big

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<v Speaker 5>part of this. We also think too that if you

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<v Speaker 5>take a look at the equal weight to S and

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<v Speaker 5>P five hundred, those companies actually from an earning's revision

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<v Speaker 5>basis are starting to see a lot stronger recovery.

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<v Speaker 4>Lastly, if you take a look at the operating performance.

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<v Speaker 5>Of companies, whether or it's cash flow or return on

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<v Speaker 5>equity or return on assets. We're starting to see from

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<v Speaker 5>a sector basis, the majority of the most cyclical areas

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<v Speaker 5>begin to turn and out.

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<v Speaker 4>What makes this field really really good? About twenty six

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<v Speaker 4>and twenty seven.

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<v Speaker 3>Brian Belski with iss samilis here this morning across the

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<v Speaker 3>nation on YouTube. Thank you worldwide for your support on YouTube.

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<v Speaker 3>Subscribe to Bloomberg Podcast. We're waiting on Kathy Wood here

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<v Speaker 3>in about five minutes. Going from Brian Bellskin to Kathy Wood.

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<v Speaker 3>A good thing, Brian, I got to squeeze two things

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<v Speaker 3>in here. All of a sudden, we have tech issuing

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<v Speaker 3>bonds to pay for AI. Of course you study you

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<v Speaker 3>should have seen him. He got an A plus at

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<v Speaker 3>USC in Medigliani and Miller's theorem.

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<v Speaker 2>Does it matter that big tech issues debt?

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<v Speaker 8>Brian Belski, Well, if you take a look at debt

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<v Speaker 8>equity in the tech sector, but then also free cash flow,

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<v Speaker 8>it's off the charts in terms of free cash flow

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<v Speaker 8>and debt equity is very very low.

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<v Speaker 5>So with respect to where where they are in the cycle,

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<v Speaker 5>it's not surprising that they're out in the debt markets

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<v Speaker 5>doing this, especially given the fact that capex is that

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<v Speaker 5>now the bigger question Tom is going to be in

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<v Speaker 5>two years from now, do we see a massive reversal

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<v Speaker 5>in Capex?

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<v Speaker 9>And I don't mean to be Johnny.

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<v Speaker 5>Rainklau, but at some point we're going to have our recession.

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<v Speaker 5>So are we going to have a Capex recession in

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<v Speaker 5>a couple of years?

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<v Speaker 4>Again, I don't know that, but when you have.

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<v Speaker 5>This big ramp up in capex funded by something else

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<v Speaker 5>that is not normally funded, I think that could ultimately

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<v Speaker 5>lead some pullback in the market.

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<v Speaker 3>Okay, this is a classy way Belskin and I've been

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<v Speaker 3>doing this for years and he's a class ack.

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<v Speaker 2>Folks.

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<v Speaker 3>As you know, Brian your opiniata and Kathy Wood is

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<v Speaker 3>a greater piniata than Brian Belski. I want you to

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<v Speaker 3>explain the efficacy of a tech only and a high

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<v Speaker 3>beta tech only trade if your time frame is longer

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<v Speaker 3>than a year. Right now to Keathy Wood's on fire,

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<v Speaker 3>but over a longer time frame, her math, her performance

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<v Speaker 3>goes way down. You can't have it both ways, Ken.

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<v Speaker 4>You you can't. And we have a tremendous amount of

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<v Speaker 4>respect for Kathy. We've known her for a long time.

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<v Speaker 5>I remember going to her offices when I was a

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<v Speaker 5>strategist at Merrillnch even before that, Piper, Jeffrey and so

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<v Speaker 5>I think that the holding period for stocks is what

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<v Speaker 5>kind of what in the average of those of those

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<v Speaker 5>performances really really hurt that longer term side of things.

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<v Speaker 2>But remember you go back to the.

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<v Speaker 5>Old notion of Stocksviville long run and buying more on

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<v Speaker 5>dips and things like that. That's why we're big believers

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<v Speaker 5>of having different strategies and also running portfolios with respect

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<v Speaker 5>to value, a small mid gap and dividing growth to

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<v Speaker 5>balance out the tech positions.

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<v Speaker 3>Yeah, Brian, one final thing. I mean, Michael Barr calls

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<v Speaker 3>in sick today. Do you see that, like three am?

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<v Speaker 7>Yeah, exactly.

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<v Speaker 3>You know, he calls it in a bapslager and he's sick,

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<v Speaker 3>and I called it missus. Barry said he's not sick.

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<v Speaker 3>The Vikings beat the Lions. Okay, Ryan, help me here,

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<v Speaker 3>JJ McCarthy, Is he really for real or was that

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<v Speaker 3>a one off what he did to the Detroit Lions?

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<v Speaker 5>Well? Quite frankly, he's got a big test this weekend too,

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<v Speaker 5>with the Ravens. The Ravens haven't been playing great this year,

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<v Speaker 5>but they do have that traditional strong defense.

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<v Speaker 4>In our view, being in.

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<v Speaker 5>Minnesota here, we don't believe anybody on the sports side

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<v Speaker 5>until they put a string of games together. And JJ

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<v Speaker 5>unfortunately hasn't been able to put a couple of games

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<v Speaker 5>together number one because he's been hurt and number two

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<v Speaker 5>because you know, he hasn't really been able to do that.

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<v Speaker 4>So I think this is a big test for him.

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<v Speaker 5>We're hopeful and quite frankly prayerful that we finally have

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<v Speaker 5>a franchise quarterback, but time will tell.

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<v Speaker 3>We will see on time will tell. With Brian Belski,

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<v Speaker 3>he sets up Qumillus and will of course be calling

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<v Speaker 3>on all of the institutional success he's had with this

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<v Speaker 3>great bull market. He is one who has absolutely nailed

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<v Speaker 3>Paul participate. Brian Belski is with Humillis. Thank you so much, Brian,

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<v Speaker 3>and best of luck from all of Team Surveillance.

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<v Speaker 2>Stay with us.

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<v Speaker 10>More from Bloomberg Surveillance coming up after this.

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

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

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<v Speaker 1>Apple karplay and android otto with the Bloomberg Business app,

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<v Speaker 1>or watch us live on YouTube.

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<v Speaker 3>We have the right kind studio and now want to

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<v Speaker 3>treat usually a Queen Victoria Streeter and a continent somewhere.

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<v Speaker 2>Older Schweting is with us right.

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<v Speaker 3>Now, truly expert on all of this at baron Berg Bank.

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<v Speaker 3>Let me start with the same question I had for

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<v Speaker 3>mister Howard at B and P Perry back. Should the

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<v Speaker 3>Fed is Central Bank, the US Central Bank enjoy the

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<v Speaker 3>descent that we see at the Bank of England? Do

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<v Speaker 3>you embrace A five to four vote is a good

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<v Speaker 3>talking point?

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<v Speaker 11>I would say it's a good talking point, But descent

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<v Speaker 11>on its own is not always good. It depends on

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<v Speaker 11>what the arguments are. And in a way, this descent

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<v Speaker 11>shows that we are in rather uncertain times. The Bank

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<v Speaker 11>of England really is having a quandary. Inflation very high,

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<v Speaker 11>but the economy lightly is low.

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<v Speaker 3>So what do they do in the reset to a

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<v Speaker 3>higher inflation rank going from one point ninety two percent

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<v Speaker 3>out to two point x Dare I say three percent?

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<v Speaker 2>There's a culture for.

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<v Speaker 3>That in America, maybe there's a culture for that in

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<v Speaker 3>pre Brexit England, Germany to Pokote, the economists Bart Simpson, Yep,

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<v Speaker 3>they're gonna have a cow. How is Germany going to

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<v Speaker 3>react to a new higher inflation regime?

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<v Speaker 11>Well, Germany will probably be part of the higher inflation

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<v Speaker 11>regime for a simple reason. We have labor shortages coming

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<v Speaker 11>across most of the advanced world, especially in the US

0:11:23.240 --> 0:11:27.520
<v Speaker 11>thanks to well net immigration dropping to zero over here

0:11:27.760 --> 0:11:32.120
<v Speaker 11>and in Europe demography plays a role labor shortages. Main

0:11:32.400 --> 0:11:35.400
<v Speaker 11>wages in the future, not necessarily this year or next year,

0:11:35.440 --> 0:11:37.839
<v Speaker 11>but longer run will rise faster than in the past.

0:11:37.960 --> 0:11:40.640
<v Speaker 11>Artificial intelligence helps but won't fully offset that.

0:11:41.080 --> 0:11:43.160
<v Speaker 9>Get used to more wage.

0:11:42.880 --> 0:11:45.440
<v Speaker 11>Inflation in the long run, and central banks needing to

0:11:45.559 --> 0:11:48.320
<v Speaker 11>keep rates at a level that's above what we usually

0:11:48.320 --> 0:11:49.960
<v Speaker 11>had for the last twenty years.

0:11:50.520 --> 0:11:55.679
<v Speaker 6>You know, most of us grew up with globalization and

0:11:56.520 --> 0:11:58.800
<v Speaker 6>arguably the net positive effects of globalization.

0:11:59.559 --> 0:12:03.240
<v Speaker 7>Is globalization dead or on the back burner?

0:12:03.480 --> 0:12:06.560
<v Speaker 6>How do you think about globalzation and the economic effects

0:12:06.559 --> 0:12:08.880
<v Speaker 6>of globalization over the last forty fifty years?

0:12:09.120 --> 0:12:10.199
<v Speaker 7>Where are we on that story?

0:12:10.240 --> 0:12:10.480
<v Speaker 12>Now?

0:12:11.400 --> 0:12:13.439
<v Speaker 9>The big wave of globalization is over.

0:12:13.679 --> 0:12:16.640
<v Speaker 11>China has fully integrated into the world economy, and now

0:12:16.679 --> 0:12:19.080
<v Speaker 11>it's actually that China is sort of decoupling here, and

0:12:19.120 --> 0:12:22.360
<v Speaker 11>they're a bit from the global economy, and we are

0:12:22.640 --> 0:12:25.079
<v Speaker 11>no longer in a phase of globalization. We are in

0:12:25.120 --> 0:12:30.880
<v Speaker 11>a phase of regionalization. Trade relations and financial relations between friends,

0:12:31.160 --> 0:12:35.240
<v Speaker 11>between partners, between close neighbors are likely to increase significantly.

0:12:35.320 --> 0:12:37.680
<v Speaker 11>We see the trend clearly in Europe where we see

0:12:37.720 --> 0:12:40.360
<v Speaker 11>our exports to the US and China drop, what where

0:12:40.400 --> 0:12:44.840
<v Speaker 11>we see our internal trade increase. So French choring, French

0:12:44.920 --> 0:12:47.959
<v Speaker 11>trading would say, is the new is the new trend?

0:12:48.040 --> 0:12:50.559
<v Speaker 11>And then we'll see what happens with AI with So.

0:12:50.520 --> 0:12:54.040
<v Speaker 6>The Germany district are getting closer together, well, they've been

0:12:54.080 --> 0:12:56.640
<v Speaker 6>pretty pretty close for a long time already, but it's

0:12:56.640 --> 0:12:58.959
<v Speaker 6>the Germans and the pone size one example, are getting

0:12:58.960 --> 0:12:59.560
<v Speaker 6>closer together.

0:12:59.679 --> 0:13:02.719
<v Speaker 11>For instan it's Germany now exports more to Poland than

0:13:02.720 --> 0:13:03.559
<v Speaker 11>it does to China.

0:13:03.880 --> 0:13:05.440
<v Speaker 9>This is one of the big changes in the world.

0:13:05.720 --> 0:13:07.719
<v Speaker 2>This is really This came up a couple of days ago.

0:13:07.800 --> 0:13:10.880
<v Speaker 3>Holger schmeting with US folks to advance the conversation, and

0:13:10.880 --> 0:13:14.960
<v Speaker 3>we welcome all of you acrassination on YouTube. Thank you

0:13:15.080 --> 0:13:18.199
<v Speaker 3>so much for this experiment. A lot of conversation in

0:13:18.320 --> 0:13:22.440
<v Speaker 3>Montreal about the YouTube talked about it's another distribution of

0:13:22.480 --> 0:13:25.120
<v Speaker 3>what we're doing, particularly abroad, and thank you so much.

0:13:25.360 --> 0:13:28.040
<v Speaker 2>The October numbers at Google gave us were just really

0:13:28.400 --> 0:13:31.920
<v Speaker 2>really outstanding futures of ten here, the VIC seventeen point

0:13:32.000 --> 0:13:35.920
<v Speaker 2>eight three and the broader economy globally in America. Holger

0:13:35.960 --> 0:13:40.439
<v Speaker 2>schmeeting with this a Behrenberg Bank. I look Holger at

0:13:40.480 --> 0:13:42.640
<v Speaker 2>where we are and to me, it still comes down

0:13:42.720 --> 0:13:47.760
<v Speaker 2>to business investment, the whole AI distraction and nominal GDP.

0:13:48.320 --> 0:13:51.720
<v Speaker 2>What's your frame out of nominal GDP out two years.

0:13:52.760 --> 0:13:55.320
<v Speaker 11>Well, for the US, nominal DDP growth is going to

0:13:55.360 --> 0:14:00.640
<v Speaker 11>slow somewhat, largely because the real economy is slow. That

0:14:00.760 --> 0:14:04.920
<v Speaker 11>is largely due to Trump policies. Tariffs are ultimately bad,

0:14:05.040 --> 0:14:08.239
<v Speaker 11>even if they'll lead to an initial search of inward investment.

0:14:08.840 --> 0:14:12.360
<v Speaker 11>And the AI boom is great, but you probably cannot

0:14:12.400 --> 0:14:16.800
<v Speaker 11>maintain the growth rates of AI related investment. And as

0:14:16.840 --> 0:14:19.400
<v Speaker 11>to inflation in the US, it will recede a bit

0:14:19.440 --> 0:14:21.600
<v Speaker 11>thanks to the help of shelter for say the next

0:14:21.640 --> 0:14:25.680
<v Speaker 11>twelve month, but it will stay elevated point five percent

0:14:25.720 --> 0:14:26.960
<v Speaker 11>at higher and longer term.

0:14:27.040 --> 0:14:28.880
<v Speaker 9>Labor shortage is biting the.

0:14:29.000 --> 0:14:32.560
<v Speaker 11>US inflation rate is set will likely settle at two

0:14:32.560 --> 0:14:35.200
<v Speaker 11>point five to three percent, at one point five percent

0:14:35.240 --> 0:14:38.240
<v Speaker 11>trend growth to that and your nominal GDP well four

0:14:38.280 --> 0:14:38.680
<v Speaker 11>and a bit.

0:14:39.960 --> 0:14:44.240
<v Speaker 6>We saw Germany and some other European countries step up

0:14:44.240 --> 0:14:49.680
<v Speaker 6>their spending earlier this year in terms of infrastructure defense.

0:14:50.480 --> 0:14:52.800
<v Speaker 6>Give us an update on that. Is that actually happening.

0:14:52.800 --> 0:14:56.120
<v Speaker 6>Are the dollars being spent or the euros being spent?

0:14:56.640 --> 0:14:58.320
<v Speaker 11>Well, what you saw earlier this year is actually in

0:14:58.360 --> 0:15:01.440
<v Speaker 11>an announcement that Germany will step up in spending. Okay,

0:15:01.600 --> 0:15:05.960
<v Speaker 11>we have seen it for defense spending since twenty three

0:15:06.120 --> 0:15:09.160
<v Speaker 11>that is being stepped up, But the big investment infrastructure

0:15:09.160 --> 0:15:12.920
<v Speaker 11>boost is only in the making. Germany passed its budget

0:15:12.960 --> 0:15:16.080
<v Speaker 11>for this year in September, so the orders are now

0:15:16.160 --> 0:15:19.720
<v Speaker 11>being placed, probably for the actual investment taking place next year,

0:15:19.920 --> 0:15:22.400
<v Speaker 11>which is one reason why next year Germany will be

0:15:22.520 --> 0:15:24.600
<v Speaker 11>doing a little better on its economy than it's been

0:15:24.640 --> 0:15:25.600
<v Speaker 11>doing for the last four years.

0:15:25.600 --> 0:15:27.360
<v Speaker 2>Can I do an audible sure? Okay.

0:15:27.360 --> 0:15:30.280
<v Speaker 3>One of the big themes in Montreal was like where

0:15:30.240 --> 0:15:32.920
<v Speaker 3>we're going with climate change? Of David Gura down in

0:15:32.920 --> 0:15:36.880
<v Speaker 3>Brazil at COP thirty and all that. I read an

0:15:36.960 --> 0:15:41.560
<v Speaker 3>article about Portia which I think is owned by VWS Buzzing,

0:15:42.000 --> 0:15:44.680
<v Speaker 3>and they're flat on their back because they bet on

0:15:44.840 --> 0:15:47.640
<v Speaker 3>electric and they're turning away from that. You're one of

0:15:47.720 --> 0:15:50.800
<v Speaker 3>the best I know on this holder. Where is green?

0:15:51.720 --> 0:15:57.120
<v Speaker 3>Where is climate change? Where is the liberality of those politics?

0:15:57.480 --> 0:16:01.360
<v Speaker 3>I'm a continent in Britain over the next five years.

0:16:01.400 --> 0:16:02.560
<v Speaker 3>Is there a shift going on?

0:16:03.240 --> 0:16:06.840
<v Speaker 11>There is a shift going on, not really away from greenery.

0:16:06.920 --> 0:16:09.560
<v Speaker 11>We in Europe are fully aware that climate change is

0:16:09.560 --> 0:16:12.200
<v Speaker 11>a threat, but we're also aware that we have to

0:16:12.200 --> 0:16:16.720
<v Speaker 11>be pragmatic about how we reduce our CO two emissions.

0:16:17.120 --> 0:16:20.920
<v Speaker 11>So we are heading for more flexible, more pragmatic approaches,

0:16:21.400 --> 0:16:23.480
<v Speaker 11>and so some companies that tried in a way to

0:16:23.680 --> 0:16:27.880
<v Speaker 11>front run the transition to electric vehicles are now seeing okay,

0:16:28.160 --> 0:16:30.960
<v Speaker 11>we're not going that fast, but it's the pace is

0:16:31.000 --> 0:16:36.200
<v Speaker 11>slowing down, but the transition towards greener outlook, towards greener

0:16:36.200 --> 0:16:39.440
<v Speaker 11>policies that is ongoing in Europe.

0:16:39.840 --> 0:16:42.280
<v Speaker 2>The most visious notes I ever got was from a

0:16:42.320 --> 0:16:45.240
<v Speaker 2>fan l from New Jersey. Oh yeah, Elle emails in.

0:16:45.360 --> 0:16:48.040
<v Speaker 3>He goes It's not the Detroit Auto Show, it's the

0:16:48.080 --> 0:16:52.120
<v Speaker 3>North American International Auto Show. I'm at the North American

0:16:52.200 --> 0:16:55.520
<v Speaker 3>International Auto Show Polgish meeting with the head of Mercedes,

0:16:55.520 --> 0:16:58.720
<v Speaker 3>the guy with the mustache, and the answer is he goes,

0:16:58.840 --> 0:17:01.440
<v Speaker 3>we're not going green line, that we're going to be hybrid.

0:17:01.880 --> 0:17:06.040
<v Speaker 3>So in Germany there's this parsing between Mercedes, who've done

0:17:06.080 --> 0:17:09.320
<v Speaker 3>it more intelligently than someone like Porsche. Is that is

0:17:09.359 --> 0:17:10.000
<v Speaker 3>that accurate?

0:17:10.800 --> 0:17:13.399
<v Speaker 11>Well, different companies have done it differently, and they need

0:17:13.520 --> 0:17:17.080
<v Speaker 11>Some companies went probably a bit too far in trying

0:17:17.119 --> 0:17:20.439
<v Speaker 11>to sort of front run the green but hybrid is

0:17:20.520 --> 0:17:23.399
<v Speaker 11>sort of probably an intermediate stage. I would say we

0:17:23.480 --> 0:17:28.240
<v Speaker 11>are ultimately going very much towards electro mobility, but the

0:17:28.320 --> 0:17:30.920
<v Speaker 11>pace at which we are going and the transition being

0:17:30.920 --> 0:17:33.639
<v Speaker 11>a bit more pragmatic, a bit more hybrid, that is

0:17:33.760 --> 0:17:36.440
<v Speaker 11>kind of a change that's creeping in In response to well,

0:17:36.520 --> 0:17:38.080
<v Speaker 11>it's it's not cheap to do the trend.

0:17:38.200 --> 0:17:40.960
<v Speaker 3>Can I just make an observation for Augish meeting and

0:17:41.040 --> 0:17:43.920
<v Speaker 3>all of the continent, it is so good that Lufthansa

0:17:44.240 --> 0:17:47.000
<v Speaker 3>didn't get rid of the seven forty seven. One of

0:17:47.040 --> 0:17:50.160
<v Speaker 3>the great things in New York City is a Loutanza

0:17:50.520 --> 0:17:51.640
<v Speaker 3>seven forty.

0:17:51.320 --> 0:17:55.480
<v Speaker 2>Seven j a Newerican JFK. Every day that's a great

0:17:55.480 --> 0:17:58.080
<v Speaker 2>and beautiful they're way much. We should bring them back.

0:17:58.240 --> 0:18:00.520
<v Speaker 7>Yeah, I mean, we're definitely that's a streat point.

0:18:00.760 --> 0:18:03.400
<v Speaker 3>Holger schmraining with us on this day of dissent at

0:18:03.400 --> 0:18:07.399
<v Speaker 3>the Bank of England. Stay with us. More from Bloomberg

0:18:07.480 --> 0:18:08.760
<v Speaker 3>Surveillance coming.

0:18:08.560 --> 0:18:16.600
<v Speaker 10>Up after this.

0:18:16.600 --> 0:18:20.520
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:18:20.560 --> 0:18:23.879
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:18:23.960 --> 0:18:26.920
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:18:27.000 --> 0:18:30.600
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:18:30.640 --> 0:18:34.240
<v Speaker 1>say Alexa play Bloomberg eleven thirty joining.

0:18:33.920 --> 0:18:36.240
<v Speaker 3>Us now and really really looking for She's been so

0:18:36.320 --> 0:18:39.720
<v Speaker 3>busy that we really had a challenge to get around

0:18:39.720 --> 0:18:43.480
<v Speaker 3>now a generous amount of time was Shannon O'Neill's Senior

0:18:43.520 --> 0:18:47.680
<v Speaker 3>Vice President Greenberg Chair at the Council on Foreign Relations,

0:18:47.680 --> 0:18:53.040
<v Speaker 3>Definitive on Latin America in the broader global economy. Shannon O'Neil,

0:18:53.040 --> 0:18:55.720
<v Speaker 3>you've got though it's been way too long, by the way, Shannon,

0:18:55.800 --> 0:18:59.960
<v Speaker 3>you've got this fabulous essay on supply lines. If you're

0:19:00.200 --> 0:19:06.280
<v Speaker 3>to sit with President Trump and explain America's naivete about

0:19:06.359 --> 0:19:09.280
<v Speaker 3>our supply lines, what would you say to the president.

0:19:10.280 --> 0:19:12.480
<v Speaker 12>Well, thanks for having me, and there's so much to say,

0:19:12.920 --> 0:19:15.960
<v Speaker 12>but I think, especially in this article, i'd narrow in

0:19:16.080 --> 0:19:19.320
<v Speaker 12>on defense because that really is the issue and where

0:19:19.359 --> 0:19:22.320
<v Speaker 12>there is reasons to intervene in the US economy to

0:19:22.359 --> 0:19:25.959
<v Speaker 12>make sure that we're secure. And here the blanket TIFFs

0:19:26.000 --> 0:19:27.880
<v Speaker 12>that we put in place, some of the other controls

0:19:27.880 --> 0:19:31.280
<v Speaker 12>that we've had are making us less safe rather than more.

0:19:31.320 --> 0:19:33.959
<v Speaker 12>And in part because the company is the primes, you know,

0:19:34.160 --> 0:19:37.160
<v Speaker 12>those at our defense contractors is really hard to work

0:19:37.160 --> 0:19:39.840
<v Speaker 12>in this environment. They have challenges now to their supply

0:19:40.800 --> 0:19:44.120
<v Speaker 12>because tariffs on steel, aluminum, other things are increasing their costs,

0:19:44.119 --> 0:19:46.159
<v Speaker 12>which is more expensive for our tax players and for

0:19:46.240 --> 0:19:50.280
<v Speaker 12>these companies. But there's also challenges now for demand. These

0:19:50.280 --> 0:19:52.560
<v Speaker 12>are specialized industries, and you know the way you get

0:19:52.560 --> 0:19:55.280
<v Speaker 12>contracts is through treaties, through alliances. You don't sell an

0:19:55.400 --> 0:19:58.600
<v Speaker 12>F thirty five to just anybody. And as we step

0:19:58.680 --> 0:20:02.000
<v Speaker 12>back from these alliances with traditional allies, you know there's

0:20:02.119 --> 0:20:04.320
<v Speaker 12>smaller markets out there from many of these companies.

0:20:04.840 --> 0:20:09.520
<v Speaker 6>Shannon, does that open the way for China, Russia others

0:20:09.560 --> 0:20:10.240
<v Speaker 6>to fill the void?

0:20:11.560 --> 0:20:13.600
<v Speaker 12>It opens the way for those, but it also opens

0:20:13.600 --> 0:20:16.320
<v Speaker 12>the way for other industries to grow around the world. Right,

0:20:16.320 --> 0:20:19.000
<v Speaker 12>We've seen Germany talk about spending a trillion dollars over

0:20:19.000 --> 0:20:20.560
<v Speaker 12>the next ten years, but a lot of that's for

0:20:20.600 --> 0:20:24.639
<v Speaker 12>their own defense industry. And you know, traditionally allies like

0:20:24.680 --> 0:20:29.439
<v Speaker 12>European Allies, Middle Eastern Allies, Asian Allies, Japan, South Koreina, like,

0:20:29.680 --> 0:20:32.600
<v Speaker 12>they've bought a lot from our suppliers. Right, they haven't

0:20:32.600 --> 0:20:35.320
<v Speaker 12>always had their own homegrown industries. And I think some

0:20:35.400 --> 0:20:38.480
<v Speaker 12>of the geopolitical shifts and the worries about the trust

0:20:38.480 --> 0:20:40.880
<v Speaker 12>in the United States and the breaking or the diminishing

0:20:40.920 --> 0:20:43.560
<v Speaker 12>of alliances mean they are thinking that they need to

0:20:43.600 --> 0:20:45.360
<v Speaker 12>go with their own. So there's going to be more

0:20:45.400 --> 0:20:48.760
<v Speaker 12>competitors out there in the global marketplace, not just adversaries.

0:20:49.800 --> 0:20:52.600
<v Speaker 6>Is there are some of these relationships that the US

0:20:52.600 --> 0:20:55.720
<v Speaker 6>has built up maybe post World War Two?

0:20:56.240 --> 0:20:56.840
<v Speaker 7>Have they been?

0:20:58.160 --> 0:21:02.119
<v Speaker 6>How badly damaged have they been? They recoverable? Do you

0:21:02.119 --> 0:21:04.320
<v Speaker 6>think in years ahead, if we have the will to

0:21:04.359 --> 0:21:06.600
<v Speaker 6>do that, You.

0:21:06.520 --> 0:21:08.920
<v Speaker 12>Know, they've been bent. I don't think they've been necessarily

0:21:09.000 --> 0:21:11.879
<v Speaker 12>been broken. And you saw on President Trump's trip just

0:21:11.880 --> 0:21:15.160
<v Speaker 12>to Asia, you know, a week plus ago, reaffirming some

0:21:15.200 --> 0:21:18.359
<v Speaker 12>of these alliances with Australia, August some with you know,

0:21:18.440 --> 0:21:22.120
<v Speaker 12>South Korea going to build nuclear submarines together in Philadelphia

0:21:22.119 --> 0:21:25.560
<v Speaker 12>along with ships. So there's some repairing here, but a

0:21:25.640 --> 0:21:27.879
<v Speaker 12>lot of this, you know, these alliances are based on

0:21:28.280 --> 0:21:32.560
<v Speaker 12>mutual trust, and I think the volatility of US policy

0:21:32.880 --> 0:21:33.919
<v Speaker 12>is bending that.

0:21:34.520 --> 0:21:37.199
<v Speaker 3>Shannon on you with us with the CONSOL on foreign relations,

0:21:37.240 --> 0:21:39.679
<v Speaker 3>we could have a two hour conversation. I could be like,

0:21:39.720 --> 0:21:43.080
<v Speaker 3>you know, like I did the thing with the governor

0:21:43.119 --> 0:21:44.760
<v Speaker 3>the other day of the FED. I mean, you know,

0:21:45.440 --> 0:21:46.960
<v Speaker 3>we could get up on a stage and like go

0:21:47.119 --> 0:21:52.200
<v Speaker 3>three hours and Venezuela, Shannon, you have followed like no

0:21:52.280 --> 0:21:57.160
<v Speaker 3>one else I know in America, Maduro, in Venezuela, your

0:21:57.240 --> 0:22:00.919
<v Speaker 3>thoughts on the present mystery of what the guns doing,

0:22:01.160 --> 0:22:03.640
<v Speaker 3>your thoughts on the future of Venezuela.

0:22:05.520 --> 0:22:08.119
<v Speaker 12>You know, I think the challenge with Venezuela is, you know,

0:22:08.240 --> 0:22:10.679
<v Speaker 12>if the United States wanted to go in and replace Maduro,

0:22:10.960 --> 0:22:14.960
<v Speaker 12>we could, But the question is what happens the day after? Right,

0:22:15.000 --> 0:22:16.960
<v Speaker 12>This is a country that, over the last twenty five

0:22:17.040 --> 0:22:21.080
<v Speaker 12>years has lost its democratic institutions. It's controlled by a

0:22:21.200 --> 0:22:25.440
<v Speaker 12>kleptocratic even criminal regime, and it has lots of different

0:22:25.680 --> 0:22:28.719
<v Speaker 12>militarized parts to it. It has a military, it has

0:22:28.720 --> 0:22:31.840
<v Speaker 12>a secret police, it has local militias, it has remnants

0:22:31.840 --> 0:22:35.200
<v Speaker 12>of Colombian gorilla groups, the FARK, the Ila, and these others.

0:22:35.280 --> 0:22:37.840
<v Speaker 12>And so if the US ends up going there, you're

0:22:37.840 --> 0:22:43.040
<v Speaker 12>going to get a place that is incredibly militarized, incredibly complicated,

0:22:43.320 --> 0:22:47.119
<v Speaker 12>and very difficult to return to anything that resembles a democracy.

0:22:47.200 --> 0:22:50.040
<v Speaker 12>So there's a bit of a break it. You boughtit here, well,

0:22:50.119 --> 0:22:50.640
<v Speaker 12>I think.

0:22:50.640 --> 0:22:53.560
<v Speaker 3>Cuba, And again you've been fabulous on this, and I

0:22:53.640 --> 0:22:57.080
<v Speaker 3>think of the arching Monroe doctrine somehow coming over to

0:22:57.160 --> 0:23:02.240
<v Speaker 3>some new Trump doctrine. But Shannon O'Neil, the structure of

0:23:02.359 --> 0:23:07.320
<v Speaker 3>Venezuela culture, is it like Cuba where it's basically shattered,

0:23:07.920 --> 0:23:12.000
<v Speaker 3>or is there a finance, an investment, a social system

0:23:12.440 --> 0:23:14.119
<v Speaker 3>after Maduro that can move on.

0:23:15.960 --> 0:23:19.240
<v Speaker 12>You know, lots of the civil society institutions have really

0:23:19.359 --> 0:23:22.640
<v Speaker 12>been destroyed, and you know, eight million people have left

0:23:22.680 --> 0:23:24.920
<v Speaker 12>the country and so lots of that has gone with them.

0:23:25.000 --> 0:23:27.600
<v Speaker 12>Now there is a possibility they would come back. But

0:23:27.640 --> 0:23:29.719
<v Speaker 12>as you look for analogies, I would look less at

0:23:29.760 --> 0:23:32.960
<v Speaker 12>Panama or at Cuba. I would look more at Iraq,

0:23:33.040 --> 0:23:36.320
<v Speaker 12>how do you know, rebuild a country and where you

0:23:36.359 --> 0:23:39.639
<v Speaker 12>have lots of militarized people, what's the debatification, what's the

0:23:39.680 --> 0:23:42.680
<v Speaker 12>de chavisation of Venezuela. Look like that would be the

0:23:42.800 --> 0:23:44.080
<v Speaker 12>challenge for our next government.

0:23:45.080 --> 0:23:45.760
<v Speaker 7>Shannon Is.

0:23:46.000 --> 0:23:47.919
<v Speaker 6>I'm just trying to think of the role of you know,

0:23:47.960 --> 0:23:51.080
<v Speaker 6>President Trump has focused on More America first, and that

0:23:51.200 --> 0:23:56.840
<v Speaker 6>has economic ramifications, it has political ramifications, maybe even security ramifications.

0:23:57.119 --> 0:23:59.040
<v Speaker 7>How do you think the rest of the world views

0:23:59.080 --> 0:24:00.280
<v Speaker 7>the US these days?

0:24:01.720 --> 0:24:03.399
<v Speaker 12>You know, as I look at the reactions of those

0:24:03.520 --> 0:24:07.520
<v Speaker 12>last nine months, particularly in the economic space and the TIFFs. Yes,

0:24:07.600 --> 0:24:10.840
<v Speaker 12>you see lots of you know, governments coming here trying

0:24:10.840 --> 0:24:13.320
<v Speaker 12>to sign free trade agreements or frameworks with the United States.

0:24:13.359 --> 0:24:15.879
<v Speaker 12>So we've seen that, but you know, these trade negotiators

0:24:15.920 --> 0:24:18.080
<v Speaker 12>are going to all other capitals in the world, and

0:24:18.119 --> 0:24:20.480
<v Speaker 12>I think what's really interesting here is the dynamism of

0:24:20.520 --> 0:24:23.840
<v Speaker 12>free trade activity, not including the United States. You know,

0:24:23.880 --> 0:24:26.359
<v Speaker 12>I think there's a good chance that the EU in

0:24:26.400 --> 0:24:29.760
<v Speaker 12>South America will finally ratify an agreement between those two

0:24:29.800 --> 0:24:32.040
<v Speaker 12>of free trade agreement's been twenty plus years in the making,

0:24:32.320 --> 0:24:35.560
<v Speaker 12>partly because of Trump tariffs. You see the EU going

0:24:35.680 --> 0:24:40.119
<v Speaker 12>to India, going to the UAE, going to Indonesia talking

0:24:40.119 --> 0:24:42.520
<v Speaker 12>about joining the CPTPP. So you know, one of the

0:24:42.560 --> 0:24:44.880
<v Speaker 12>biggest trade packs in the world. You see a lot

0:24:44.880 --> 0:24:47.520
<v Speaker 12>of dynamism that isn't including the United States, and even

0:24:47.600 --> 0:24:50.440
<v Speaker 12>just on the ground. In nine months, you see trade

0:24:50.480 --> 0:24:53.600
<v Speaker 12>re routing. Right, global trade is up this year, but

0:24:53.760 --> 0:24:55.600
<v Speaker 12>not in North America, not with Uniteds.

0:24:55.600 --> 0:24:57.360
<v Speaker 3>I saw charge just in the last forty eight hours.

0:24:57.400 --> 0:24:59.879
<v Speaker 3>Folks on I'm so sorry I can't cite it, but

0:25:00.080 --> 0:25:03.400
<v Speaker 3>Shannon and done to that point. We all know when

0:25:03.480 --> 0:25:07.399
<v Speaker 3>Africa slipped away and China bought resources in Africa. Are

0:25:07.440 --> 0:25:10.879
<v Speaker 3>we at a point here where South America and Latin

0:25:10.880 --> 0:25:15.840
<v Speaker 3>America slips away and China takes over those relationships and

0:25:15.880 --> 0:25:17.920
<v Speaker 3>those trade trade dynamics.

0:25:19.280 --> 0:25:21.520
<v Speaker 12>Now, I think there is still a desire in Latin

0:25:21.560 --> 0:25:24.480
<v Speaker 12>America and the Western Hemisphere to trade with the United States. Right,

0:25:24.520 --> 0:25:26.760
<v Speaker 12>the United States has been the biggest foreign direct investor,

0:25:26.800 --> 0:25:28.960
<v Speaker 12>It's been one of the biggest trade partners. And what

0:25:29.080 --> 0:25:32.080
<v Speaker 12>they trade with the United States is more complicated good,

0:25:32.160 --> 0:25:34.679
<v Speaker 12>it's not just resources and you know, commodities going out

0:25:34.720 --> 0:25:37.440
<v Speaker 12>to China, which has normally been the exports from Latin

0:25:37.480 --> 0:25:41.200
<v Speaker 12>America to China. So there's a desire there, but there's

0:25:41.240 --> 0:25:43.280
<v Speaker 12>a challenge as you start putting terras on, as you

0:25:43.280 --> 0:25:46.439
<v Speaker 12>start putting other restrictions. And Latin America so far with

0:25:46.560 --> 0:25:49.480
<v Speaker 12>Brazil as an exception, has seen lower rates on the

0:25:49.520 --> 0:25:52.760
<v Speaker 12>sort of universal rates, but it still matters. And so

0:25:52.840 --> 0:25:55.919
<v Speaker 12>you are seeing opening for China, for the EU, for

0:25:56.000 --> 0:25:56.800
<v Speaker 12>others to come in.

0:25:56.920 --> 0:26:00.000
<v Speaker 3>When's the next book, Shannon, We're waiting, when's the next book?

0:26:00.119 --> 0:26:00.480
<v Speaker 2>Come on?

0:26:01.640 --> 0:26:04.760
<v Speaker 12>We're gonna look at, you know, industrial strategy, industrial policy,

0:26:04.800 --> 0:26:06.000
<v Speaker 12>because that's where the world's headed.

0:26:06.320 --> 0:26:07.800
<v Speaker 2>Okay, on the supply lines.

0:26:07.840 --> 0:26:11.800
<v Speaker 3>A brilliant article in Foreign Affairs, Shannon o'neilla, driving Force

0:26:11.800 --> 0:26:13.320
<v Speaker 3>ayers the Greenberg.

0:26:13.800 --> 0:26:18.720
<v Speaker 2>Chair at the Council on Foreign Relations. Stay with us.

0:26:18.960 --> 0:26:29.280
<v Speaker 3>More from Bloomberg Surveillance coming up after this.

0:26:29.280 --> 0:26:33.159
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:26:33.200 --> 0:26:36.199
<v Speaker 1>starting at seven am Eastern on Apple Coarcklay, and Android

0:26:36.240 --> 0:26:39.280
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:26:39.359 --> 0:26:42.639
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:26:43.160 --> 0:26:45.840
<v Speaker 1>Just say Alexa, play Bloomberg eleven thirty.

0:26:45.960 --> 0:26:47.320
<v Speaker 2>What did I missed while I was away?

0:26:47.680 --> 0:26:52.000
<v Speaker 3>The newspapers with Lisa much anything from the Montreal Gazette

0:26:52.920 --> 0:26:54.000
<v Speaker 3>thing exactly.

0:26:54.880 --> 0:26:56.680
<v Speaker 13>All right, so we want to start with AI because

0:26:56.680 --> 0:26:59.000
<v Speaker 13>we hear so much about AI taking jobs, right, Okay,

0:26:59.040 --> 0:27:03.000
<v Speaker 13>so now AI power users at work. They're making their

0:27:03.000 --> 0:27:07.440
<v Speaker 13>coworkers look like slackers, and it's starting to cause this tension. Okay,

0:27:07.600 --> 0:27:09.480
<v Speaker 13>all yeah, so this is in the Wall Street Journal.

0:27:09.560 --> 0:27:11.960
<v Speaker 13>So it's basically not you know, people who do machine

0:27:12.000 --> 0:27:14.520
<v Speaker 13>learning and all. It's just people who have skills at

0:27:14.640 --> 0:27:17.600
<v Speaker 13>using the AI tools that they have. And so it's

0:27:17.640 --> 0:27:20.280
<v Speaker 13>causing this kind of tension because they're now you know,

0:27:20.640 --> 0:27:23.360
<v Speaker 13>showing up the bosses, and then the other people are like, well,

0:27:23.359 --> 0:27:23.879
<v Speaker 13>what about me?

0:27:24.600 --> 0:27:28.280
<v Speaker 7>The case this is a generational thing because I feel

0:27:28.280 --> 0:27:29.280
<v Speaker 7>like the younger function.

0:27:29.240 --> 0:27:30.119
<v Speaker 12>Better, better at it.

0:27:30.200 --> 0:27:32.040
<v Speaker 7>Yeah, I can see that. I can see that.

0:27:32.400 --> 0:27:34.919
<v Speaker 13>But they're they're doing like they have their own personal branding,

0:27:34.960 --> 0:27:37.320
<v Speaker 13>Like they have YouTube pages where they post their tips

0:27:37.320 --> 0:27:40.280
<v Speaker 13>on how to do this. They go on you know, LinkedIn,

0:27:40.400 --> 0:27:42.719
<v Speaker 13>and they post little articles on these tips on how

0:27:42.760 --> 0:27:43.320
<v Speaker 13>to use the as.

0:27:43.320 --> 0:27:45.119
<v Speaker 6>This is similar back into my day, if you were

0:27:45.200 --> 0:27:47.119
<v Speaker 6>like a good spreadsheet person.

0:27:47.440 --> 0:27:50.320
<v Speaker 7>Yeah, that like that was my generation was.

0:27:50.280 --> 0:27:52.399
<v Speaker 3>The queen of Excel and so many people in the

0:27:52.440 --> 0:27:56.639
<v Speaker 3>New York area lenor major shout out Courtney Donahoe.

0:27:57.040 --> 0:28:00.320
<v Speaker 2>Yeah, is an act of God on an Excel spread.

0:28:00.200 --> 0:28:01.360
<v Speaker 7>Wow, it's frightening.

0:28:02.040 --> 0:28:02.800
<v Speaker 2>It's frightening.

0:28:02.880 --> 0:28:04.480
<v Speaker 3>She looked at me once and goes, are you the

0:28:04.520 --> 0:28:07.640
<v Speaker 3>worst Excel spreadsheet user in the world. It said, yes, dear,

0:28:07.800 --> 0:28:10.840
<v Speaker 3>I am ye carrly Dyna. Now it's I agree, Like,

0:28:10.960 --> 0:28:12.160
<v Speaker 3>AI is a huge deal.

0:28:12.359 --> 0:28:14.680
<v Speaker 13>Yes, and it can help you rise up the ranks.

0:28:14.680 --> 0:28:16.480
<v Speaker 13>And you know, because they're saying, like, the difference if

0:28:16.520 --> 0:28:18.880
<v Speaker 13>a bot doesn't replace you a human who knows how

0:28:18.880 --> 0:28:22.280
<v Speaker 13>to use it, it's.

0:28:21.440 --> 0:28:24.000
<v Speaker 3>Oh, that's what that is. Spartan, how's having a meeting?

0:28:24.000 --> 0:28:26.400
<v Speaker 3>Who was sparted that? They said, Hey, stupid, you're a bot.

0:28:26.960 --> 0:28:27.760
<v Speaker 2>I didn't know what he meant.

0:28:27.960 --> 0:28:30.920
<v Speaker 7>Now I got it, Okay, so we'll stick with AI.

0:28:31.080 --> 0:28:33.680
<v Speaker 13>This is from the Washington Post about how the NFL

0:28:34.040 --> 0:28:37.720
<v Speaker 13>is using AI to prevent injuries. Pretty interesting. So they're

0:28:37.800 --> 0:28:40.640
<v Speaker 13>using this thing called Digital Athlete. It's this AI platform

0:28:41.320 --> 0:28:44.000
<v Speaker 13>and helps them kind of figure out player performance. So

0:28:44.120 --> 0:28:47.160
<v Speaker 13>it basically this database, right, thousands of players in there.

0:28:47.560 --> 0:28:50.680
<v Speaker 13>Each one has this little avatar, but they can identify

0:28:50.880 --> 0:28:53.440
<v Speaker 13>little changes in movement that can be a shina of

0:28:53.560 --> 0:28:56.040
<v Speaker 13>fatigue or maybe show if someone's about to get hurt,

0:28:56.160 --> 0:28:59.200
<v Speaker 13>So maybe a veteran skips out on the drills or

0:28:59.280 --> 0:29:01.760
<v Speaker 13>maybe you know, then sits down on practice this day.

0:29:01.800 --> 0:29:02.920
<v Speaker 12>Because they can predict that.

0:29:03.000 --> 0:29:05.880
<v Speaker 13>You know what, they might get hurt, they continue using

0:29:06.000 --> 0:29:09.120
<v Speaker 13>So this is something they're using. They're actually saying it's

0:29:09.240 --> 0:29:11.680
<v Speaker 13>working because since they launched it back in twenty twenty three,

0:29:11.840 --> 0:29:16.000
<v Speaker 13>practice related lower extremity strains have dropped about fourteen percent

0:29:16.160 --> 0:29:16.760
<v Speaker 13>league wide.

0:29:16.920 --> 0:29:19.440
<v Speaker 7>So they do different things.

0:29:19.520 --> 0:29:21.040
<v Speaker 2>Yeah, they did that with me and Paul.

0:29:21.240 --> 0:29:24.200
<v Speaker 3>Yeah, I keep us off the field's rocking it with

0:29:24.280 --> 0:29:27.120
<v Speaker 3>Scarlet Food, you know, eleven twenty two and they get

0:29:27.160 --> 0:29:28.160
<v Speaker 3>the software.

0:29:27.840 --> 0:29:31.920
<v Speaker 7>Going exactly five hours of radio make a mistakes, get there.

0:29:32.280 --> 0:29:36.200
<v Speaker 7>He's about to draw intelligence ten eight this morning. I

0:29:36.360 --> 0:29:38.360
<v Speaker 7>like this next story here because I'm thinking of Scarlet

0:29:38.480 --> 0:29:38.800
<v Speaker 7>and Matt.

0:29:38.880 --> 0:29:43.800
<v Speaker 2>You scar the stories up front, but you see the stories.

0:29:43.960 --> 0:29:46.360
<v Speaker 6>I know a person I know, I don't he's vip

0:29:46.720 --> 0:29:51.000
<v Speaker 6>yep because so much for me more please this is why.

0:29:51.080 --> 0:29:53.520
<v Speaker 13>Because yes, they live in Westchester, right and now more

0:29:53.560 --> 0:29:57.000
<v Speaker 13>people coming back to work, so that means more gridlock,

0:29:57.120 --> 0:29:59.920
<v Speaker 13>more people coming to the city, which means there is

0:30:00.080 --> 0:30:01.760
<v Speaker 13>a new way to get into the city, and it

0:30:01.880 --> 0:30:06.040
<v Speaker 13>is a twelve minute helicopter ride. Okay, it leaves, yes,

0:30:06.120 --> 0:30:09.280
<v Speaker 13>it goes from Westchester and it goes back here. There's

0:30:09.320 --> 0:30:11.920
<v Speaker 13>a place on thirtieth Street and twelfth Avenue that's Blade

0:30:11.960 --> 0:30:14.120
<v Speaker 13>Lounge West, right near Hudson Yards. Or it drops it

0:30:14.200 --> 0:30:18.040
<v Speaker 13>from Westchester Hudson Yards. It's Blade Air Mobility. It's part

0:30:18.040 --> 0:30:21.280
<v Speaker 13>of Joby Aviation. They're starting at December first, and you

0:30:21.320 --> 0:30:23.120
<v Speaker 13>can take it. It's going to cost you. So if

0:30:23.160 --> 0:30:25.680
<v Speaker 13>you're wondering how much scar forty, Okay, there you go

0:30:26.120 --> 0:30:29.000
<v Speaker 13>a single flight one hundred and twenty five dollars if

0:30:29.040 --> 0:30:31.760
<v Speaker 13>you have their Blade Commuter pass. It's two hundred and

0:30:31.800 --> 0:30:35.280
<v Speaker 13>twenty five dollars without one. So the cost for that pass,

0:30:35.320 --> 0:30:37.280
<v Speaker 13>if you're wondering, it's two hundred and fifty for the week.

0:30:37.640 --> 0:30:39.400
<v Speaker 13>You can do the thousand a month, or hey, just

0:30:39.440 --> 0:30:41.680
<v Speaker 13>go for the ten thousand dollars for the unlimited ships

0:30:41.680 --> 0:30:42.040
<v Speaker 13>for the year.

0:30:42.120 --> 0:30:44.280
<v Speaker 7>All right, that's the way to go for Scarletton. What's

0:30:44.320 --> 0:30:44.760
<v Speaker 7>the way to go?

0:30:45.160 --> 0:30:47.760
<v Speaker 2>Lisa Mantiro the newspapers this morning, thank you so much

0:30:47.800 --> 0:30:48.000
<v Speaker 2>for that.

0:30:48.480 --> 0:30:53.280
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:30:53.440 --> 0:30:57.680
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:30:57.840 --> 0:31:00.800
<v Speaker 1>seven to ten am Easter and on Blueloomberg dot Com,

0:31:01.240 --> 0:31:04.960
<v Speaker 1>the iHeartRadio app, tune In, and the Bloomberg Business app.

0:31:05.320 --> 0:31:08.400
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0:31:08.760 --> 0:31:10.720
<v Speaker 1>and always on the Bloomberg terminal