WEBVTT - Market Sentiment and Rate Cut Outlook

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

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

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<v Speaker 2>Blackrock Wailey in studio. Thrilled to have you here, with

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<v Speaker 2>immense respect for your profound accomplishments as a kid. And

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<v Speaker 2>you were in China and then you went to Singapore,

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<v Speaker 2>right it's somewhere. Did you go through the H one

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<v Speaker 2>B visa process years ago?

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<v Speaker 3>I didn't because I'm working. I'm based in London right now,

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<v Speaker 3>I have a l one A. I think I need

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<v Speaker 3>to remember that as against custom every time.

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<v Speaker 2>What are your thoughts on this? You know it's the

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<v Speaker 2>bar charts are India with a huge impact and then

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<v Speaker 2>China is an impact away from the politics of it.

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<v Speaker 2>What are your thoughts on it?

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<v Speaker 3>I think that represents near tom uncertainty, especially facing I

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<v Speaker 3>guess smaller companies. I think this is another example why

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<v Speaker 3>we have to focus on fundamentals and pricing power of

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<v Speaker 3>large companies as we think about being selective the zechist.

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<v Speaker 2>This weekend, You're wonderful on LinkedIn pushing back against it

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<v Speaker 2>is worry, worry AI, worry more worry, worry, worry AI.

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<v Speaker 2>That's normal in a bull market.

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<v Speaker 4>Isn't it. I think so.

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<v Speaker 3>I think so, and I think it's worth remembering that

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<v Speaker 3>bull markets do not die from valuation. And even if

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<v Speaker 3>there is more focus around valuations right now, our study

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<v Speaker 3>shows that it's not really as stretched as you would

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<v Speaker 3>have expected looking at price appreciation. You look at magnificent

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<v Speaker 3>seven right now, at thirty two times, PE is actually

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<v Speaker 3>lower than the level at the beginning of the year

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<v Speaker 3>because of the very strong earnings delivery and earnings upgrade,

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<v Speaker 3>so we think that there is more to go.

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<v Speaker 5>Our study shows that for US Tech.

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<v Speaker 3>More broadly, if they deliver earning in the region from

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<v Speaker 3>fifteen percent to twenty percent, their current multiple is maybe

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<v Speaker 3>even higher than that can be very well supported. And

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<v Speaker 3>now you may ask, you know, fifteen twenty that sounds

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<v Speaker 3>like a lot, but looking back thirty years, a quarter

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<v Speaker 3>of those period actually have seen US Tech growing earnings

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<v Speaker 3>that strongly, right, so you know it's doable.

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<v Speaker 4>That's doable.

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<v Speaker 6>I think that the AI believers are firm believers in

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<v Speaker 6>AI how about the rest of the world, the four

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<v Speaker 6>hundred and ninety three other stocks in the S and

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<v Speaker 6>P five hundred, how do you guys approach those names?

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<v Speaker 3>You know, right now we're in this let's quite lucky

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<v Speaker 3>juncture where we have the FED restarting raycut cycle and

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<v Speaker 3>the labor market is supporting that rate cut direction of

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<v Speaker 3>travel without it then becoming a big political debate in

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<v Speaker 3>terms of fat independence, but also then what it means

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<v Speaker 3>for long end of the curve and term premiere. So

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<v Speaker 3>right now, the FAT is starting restarting fat rate cuts

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<v Speaker 3>and growth is holding up. Okay, we're looking at one

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<v Speaker 3>point five percent for your economy this year. It's very

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<v Speaker 3>far from recession. Earnings a strong so it's a good

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<v Speaker 3>mix that can continue to support risk assets. Now the

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<v Speaker 3>question is just for how long this lucky combination will last.

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<v Speaker 3>So we're very much paying attention to you know, if

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<v Speaker 3>labor market deterioration is a precursor of something worse to

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<v Speaker 3>come on a growth front, it's not our expectation, but

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<v Speaker 3>you know, lots of uncertainty.

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<v Speaker 6>You say you're staying risk on, how does that apply

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<v Speaker 6>to the fixed income market? Are you are you staying

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<v Speaker 6>with it in the treasury market where you can get more,

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<v Speaker 6>you can get four percent for change on a tenure,

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<v Speaker 6>or do it take some credit risk our credit.

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<v Speaker 3>We have had the preference for credit over long duration

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<v Speaker 3>for a while, and you look at how ig spread

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<v Speaker 3>is at close to multi decades low will actually add

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<v Speaker 3>multi decay load. That has been a good call. But

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<v Speaker 3>at this juncture, at this particular juncture, we do think

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<v Speaker 3>that there is room to extend out duration exposure a

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<v Speaker 3>little bit because we see this lucky mix of labor

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<v Speaker 3>market supporting fact cuts and just generally markets are focusing

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<v Speaker 3>on that. So we want to lock in some of

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<v Speaker 3>the attractive long duration radios in the US.

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<v Speaker 2>In the technology juggernaut that you've let on, where is

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<v Speaker 2>use of cash? Obviously they're doing a capex. Does Blackrock

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<v Speaker 2>see evidence of a return and invest in capital from

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<v Speaker 2>this capex balloon or does that wait?

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<v Speaker 3>We have seen significant growth in our cash business because

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<v Speaker 3>there is a huge amount of cash on the sizeline

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<v Speaker 3>from an investment portfolio perspective. But to your point about

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<v Speaker 3>return on investment for copex deployment, that's actually one thing

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<v Speaker 3>that we're paying close attention to to understand if momentum

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<v Speaker 3>of the AI trade could potentially shift, you know, as

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<v Speaker 3>we think about sectors outside of technology also kind of

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<v Speaker 3>getting very focused around AI adoption as we go from

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<v Speaker 3>capital lights to capital intensive kind of deployment. It has

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<v Speaker 3>significant impact on return on equity. So we're paying attention

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<v Speaker 3>to return on all this copex spend, but it would

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<v Speaker 3>take time, and right now, what exes look like the

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<v Speaker 3>axis axis is twenty seven nine. You mean intensive return

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<v Speaker 3>on investment?

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<v Speaker 2>When are we going to find out why Facebook is

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<v Speaker 2>spending all that jillions? And it's going to be an

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<v Speaker 2>ability to do an excess spreadsheet at black Rock to

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<v Speaker 2>figure out what the return is.

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<v Speaker 3>I would say that actually it's remarkably hard to get

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<v Speaker 3>present a number you've written an investment for these capex

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<v Speaker 3>because it's quite well hidden and they're not obligated to

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<v Speaker 3>report them in a very precise form. But I would

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<v Speaker 3>make the general observation that markets are letting them off

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<v Speaker 3>the hook right now because it's really an existential build

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<v Speaker 3>out race. You're either spending and overspending to stay in

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<v Speaker 3>the game and stay on the table, or you will

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<v Speaker 3>be viewed as well. You won't be part of the

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<v Speaker 3>future mix, right so I think markets are giving the

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<v Speaker 3>tech companies some leeway to spend and overspend. We pay

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<v Speaker 3>attention to free cash flow as a percentage of free

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<v Speaker 3>cash flow. It's gone up quite a bit in terms

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<v Speaker 3>of the kapex SU spent, but not to a level

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<v Speaker 3>that they can't afford, not to mention, they can always

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<v Speaker 3>tap into funding market public and private to raise additional

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<v Speaker 3>cash to spend. Right So, you know, like right now,

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<v Speaker 3>it's still early in this journey and we see all

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<v Speaker 3>systems go when it comes to AI build out.

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<v Speaker 6>How do you, guys as chief investment strategies, what screens

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<v Speaker 6>well for you these days? Are you screening on industries, factors?

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<v Speaker 6>How are you kind of looking at markets and opportunities

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<v Speaker 6>these days broadly?

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<v Speaker 3>Well, we have liked we have like growthy type of

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<v Speaker 3>names because we want to focus on companies that can

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<v Speaker 3>really give exposure to exponential growth opportunities related to AI.

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<v Speaker 3>But we also just think broader market given the lucky

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<v Speaker 3>combination of fact cuts growth holding up. Okay, earnings are

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<v Speaker 3>reasonably well delivered so far as opposed to broader market. Yeah,

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<v Speaker 3>we focus on the TAG and the EI complex, but

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<v Speaker 3>generally we have an overweight to the broader US acquity

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<v Speaker 3>market that includes the smaller caps compared to the mega

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<v Speaker 3>tech companies in the international market. We're more selective, right, Like,

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<v Speaker 3>so you're in Europe, we like defense, we like we

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<v Speaker 3>like financials, we like industrials as a sector pick rather

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<v Speaker 3>than across the across the board. Do you look to

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<v Speaker 3>the emergent market? You know, like being selective would have

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<v Speaker 3>paid off well so far this year as well. You know,

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<v Speaker 3>the hands and healthcare indexes up more than one hundred percent.

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<v Speaker 2>Are you flying into Heathrow today.

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<v Speaker 3>On Thursday or maybe even over the weekend?

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<v Speaker 2>Traffic congestion or something? So some software went down.

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<v Speaker 4>I came you over the weekend.

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<v Speaker 3>It was actually quite smooth.

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<v Speaker 2>We'll see mischic think you just go, Larry, can I

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<v Speaker 2>get the golf stream.

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<v Speaker 5>When you ask?

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<v Speaker 3>On my behalf greatly?

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<v Speaker 2>Thank you so much. It is with Blackrock. Can't say

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<v Speaker 2>enough about her contribution to the zeitgeist on LinkedIn. She

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<v Speaker 2>had a beautiful Bard shirt piecing together showing this huge

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<v Speaker 2>technology investment. Uh that's out there and you know it's

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<v Speaker 2>interesting to see, Uh, to say the least. Stay with us.

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

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

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

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<v Speaker 1>on Applecarplay 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 2>A good time now with Yen's Nordvig of ACCENTI data

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<v Speaker 2>all of his experience, including with Namur and goldn Sachs

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<v Speaker 2>over the years, and it can be on foreign exchange.

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<v Speaker 2>But you know, folks, of the one hundred and forty

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<v Speaker 2>two books that came out out of the crisis, they

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<v Speaker 2>are like five or six that had traction. Shout out

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<v Speaker 2>Andrew ros Serkin's book of seven I thought was really good,

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<v Speaker 2>as he launches a new one here. The follow of

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<v Speaker 2>the euro reinventing the Euros on YenS Nordvig was absolutely

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<v Speaker 2>I called it a primal scream. It was just it

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<v Speaker 2>was so visceral. You have to be from Denmark to

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<v Speaker 2>do that. If you're from America, you're too polite. It

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<v Speaker 2>was so visceral. If you were to rewrite a book

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<v Speaker 2>in the euro now, what would you title it?

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<v Speaker 5>The challenges are still there. This challenge is still there.

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<v Speaker 2>Zurosclerousa is still in place.

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<v Speaker 5>We still have a weak growth done and we've had

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<v Speaker 5>we've had a wake up call this year. Right, So

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<v Speaker 5>we've had deflationary forces in Europe for the last ten years,

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<v Speaker 5>as we spoke about, and then we had the COVID

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<v Speaker 5>shock and all of that change, so that's gone. And

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<v Speaker 5>then Germany have done something pretty dramatic right in terms

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<v Speaker 5>of escaping the fiscal rules, so that was triggered by

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<v Speaker 5>triggered by the US. Pauls have changed as well.

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<v Speaker 6>So it seems like Europe is trying to spend its

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<v Speaker 6>way out of its malaise, whether it's induced by the

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<v Speaker 6>US change in policy. But I think there's questions about,

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<v Speaker 6>all right, maybe Germany can get it done, maybe even

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<v Speaker 6>Poland can get it done, because I point the right

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<v Speaker 6>in the backyard of Russia it's in their best interest, But.

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<v Speaker 4>How about everybody else?

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<v Speaker 2>What's the rest of you are.

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<v Speaker 6>Going to do in terms of trying to lift their

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<v Speaker 6>they're spending levels.

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<v Speaker 5>Yeah, Like the fundamental issue is that we used to

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<v Speaker 5>in Europe for many decades to always have like the

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<v Speaker 5>center of the politics was driving what was happening. So

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<v Speaker 5>you had social democratic parties like a little bit to

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<v Speaker 5>the left of center, and and then you had another

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<v Speaker 5>centrist party a little bit to the right of the center,

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<v Speaker 5>but they more or less did the same type of

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<v Speaker 5>policies and they agreed on most things. And now you

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<v Speaker 5>don't have that anymore. You can see in France like

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<v Speaker 5>the center has like been annihilated, right, mess, Yeah, and

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<v Speaker 5>it's in many different countries.

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<v Speaker 2>Is it just another mess or is there something original

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<v Speaker 2>this time about more protesting?

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<v Speaker 5>I think we'll we're waiting for an election result where

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<v Speaker 5>there's actually going to be one of these far right,

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<v Speaker 5>far left parties coming to power. Like at the moment,

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<v Speaker 5>the center is getting small and smaller, but still staying

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<v Speaker 5>in power and almost all countries, right, So the real

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<v Speaker 5>test this will be when these non centrist forties actually

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<v Speaker 5>get into power and they have to decide what they

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<v Speaker 5>what they do. And I think in relation to your

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<v Speaker 5>question right about military spending, right, so it's clearly going

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<v Speaker 5>up across the whole of the EU, Germany leading, and

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<v Speaker 5>the fear of Russia is driving that, but it's not

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<v Speaker 5>every country like Spain is not doing much like so

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<v Speaker 5>so if you average it out, it's certainly not as

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<v Speaker 5>dramatic as if you just look at Germany alone the

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<v Speaker 5>US dollar.

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<v Speaker 6>We had the FX annals from City City in your

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<v Speaker 6>street just probably a half hour ago saying he's polished

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<v Speaker 6>on the US dollar and he feels pretty empty alone

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<v Speaker 6>out there, pretty lonely out there. What's your view of

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<v Speaker 6>the dollar? He does not bounce back like everything else

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<v Speaker 6>seems to bounce back.

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<v Speaker 5>Yeah. So there's a huge debate going on at the

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<v Speaker 5>moment about, Okay, what's happening with dollar hedging? Right? So

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<v Speaker 5>on our data platform, we have a whole section that's

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<v Speaker 5>dedicated to this specifically, right, because you can track it

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<v Speaker 5>in many ways. There's been a lot of writing, including

0:13:10.960 --> 0:13:12.720
<v Speaker 5>on Bloomberg in the last couple of weeks, about oh,

0:13:12.760 --> 0:13:14.800
<v Speaker 5>if you look at the ETF flows, they show a

0:13:14.840 --> 0:13:17.360
<v Speaker 5>lot of people are buying US acid but with a

0:13:17.400 --> 0:13:21.760
<v Speaker 5>hedge on top. I think that's it's very tricky to

0:13:21.920 --> 0:13:24.920
<v Speaker 5>just use the ETFs because a lot of institutional flow

0:13:24.960 --> 0:13:27.960
<v Speaker 5>don't happen in ETF space, right, So you can have

0:13:28.040 --> 0:13:30.320
<v Speaker 5>pension funds that do big changes and you will not

0:13:30.400 --> 0:13:32.480
<v Speaker 5>see anything in ETF. So I think the big picture

0:13:32.520 --> 0:13:38.000
<v Speaker 5>is the following. We've been through, you know, three phases

0:13:38.040 --> 0:13:41.120
<v Speaker 5>in terms of like dollar flows, where we came into

0:13:41.160 --> 0:13:44.839
<v Speaker 5>this year, people still believed in US exceptionalism, still bought

0:13:44.960 --> 0:13:48.520
<v Speaker 5>US stocks. Tech was the dominant theme. Then we had

0:13:48.640 --> 0:13:52.480
<v Speaker 5>all the policy uncertainty, reciprocal tariffs. We also had the

0:13:52.520 --> 0:13:55.880
<v Speaker 5>German fiscal stimulus that people saw, okay, maybe there's an alternative, right,

0:13:55.920 --> 0:13:59.040
<v Speaker 5>And we had a period where actually inflows into the

0:13:59.160 --> 0:14:04.800
<v Speaker 5>US where smaller than inflows into other international competitors. And

0:14:04.840 --> 0:14:06.680
<v Speaker 5>then in the last couple of months it's like kind

0:14:06.679 --> 0:14:10.360
<v Speaker 5>of like a gray song. We're not back to US exceptionalism,

0:14:10.440 --> 0:14:13.320
<v Speaker 5>but the US is recovering. There is a bit more

0:14:13.320 --> 0:14:15.760
<v Speaker 5>flow coming in, so it's it's sort of a gray song.

0:14:16.360 --> 0:14:19.800
<v Speaker 5>So in my forecast for the dollar, I now put

0:14:19.920 --> 0:14:23.280
<v Speaker 5>less weight on sort of very negative flows as a

0:14:23.360 --> 0:14:25.880
<v Speaker 5>drive of the dollar. I put more weight on the FED. Again,

0:14:26.400 --> 0:14:29.640
<v Speaker 5>so since my company specialized in the flow, maybe I'm

0:14:29.640 --> 0:14:34.320
<v Speaker 5>being kind of like under budding. But we also do

0:14:34.400 --> 0:14:36.960
<v Speaker 5>some FED analysis and and that's really been the key.

0:14:37.000 --> 0:14:39.360
<v Speaker 5>You can see it in the correlations like the dollar

0:14:39.840 --> 0:14:43.480
<v Speaker 5>and US interest rates super highly correlated. Again, there was

0:14:43.560 --> 0:14:45.680
<v Speaker 5>no correlation at all in April May.

0:14:46.280 --> 0:14:48.160
<v Speaker 2>Okay, I got I gotta get quickly because i'mnna do

0:14:48.200 --> 0:14:50.720
<v Speaker 2>an audible. What's your what's your euro call? Here?

0:14:50.880 --> 0:14:54.080
<v Speaker 5>At twelve months, I think we're going to be grinding higher.

0:14:54.240 --> 0:14:56.600
<v Speaker 5>I think we're going to be stronger. I think the

0:14:56.640 --> 0:14:58.520
<v Speaker 5>euro can be grinding high differ.

0:14:58.920 --> 0:15:01.720
<v Speaker 2>Yeah, it's great, Okay, we're doing audio against Nordvik with

0:15:01.840 --> 0:15:05.280
<v Speaker 2>us right now. And again his book was just absolutely fabulous.

0:15:05.800 --> 0:15:08.680
<v Speaker 2>I learned this the hard way. Patrick O'Brien wrote a

0:15:08.680 --> 0:15:13.680
<v Speaker 2>book called The Surgeon's Mate. In America, most people study

0:15:13.720 --> 0:15:17.440
<v Speaker 2>the Baltic Sea for two days in ninth grade, and

0:15:17.480 --> 0:15:21.520
<v Speaker 2>that's a combined knowledge. We don't have any understanding of

0:15:21.560 --> 0:15:25.240
<v Speaker 2>the world. You grew up in Copenhagen by boat, sixteen

0:15:25.360 --> 0:15:30.080
<v Speaker 2>hundred miles from Russia, Saint Petersburg, the Baltic States. We've

0:15:30.080 --> 0:15:34.680
<v Speaker 2>got testing of Russian planes in Estonia right now. It

0:15:34.800 --> 0:15:38.800
<v Speaker 2>bare barely moves the needle here in America. I want

0:15:38.840 --> 0:15:42.600
<v Speaker 2>you to explain to our American audience here that this

0:15:42.920 --> 0:15:48.920
<v Speaker 2>ginormous brackish Baltic Sea with Denmark at the isthmus of it,

0:15:48.960 --> 0:15:52.160
<v Speaker 2>where you come out the importance of that to the

0:15:52.200 --> 0:15:53.160
<v Speaker 2>Western Alliance.

0:15:53.400 --> 0:15:56.040
<v Speaker 5>Well, maybe i'll give you a one minute.

0:15:55.760 --> 0:15:58.640
<v Speaker 4>History lesson, please, So all the.

0:15:58.680 --> 0:16:04.240
<v Speaker 5>Traffic that comes by ship from Russia, Poland Baltic nations,

0:16:04.240 --> 0:16:06.200
<v Speaker 5>so for what have to go through a tiny little

0:16:06.240 --> 0:16:13.080
<v Speaker 5>gap between Sweden and Denmark. The reason why Copenhagen used

0:16:13.120 --> 0:16:15.560
<v Speaker 5>to be a very wealthy city was that they collected

0:16:15.640 --> 0:16:19.280
<v Speaker 5>taxi taxes from all those ships and they had a

0:16:19.320 --> 0:16:21.240
<v Speaker 5>cannon in place, so if they didn't pay the tax,

0:16:21.280 --> 0:16:23.960
<v Speaker 5>they would just shoot this ship down. And that's literally

0:16:23.960 --> 0:16:28.720
<v Speaker 5>the reason why Copenhagen was a wealthy city very early on.

0:16:29.440 --> 0:16:32.320
<v Speaker 5>And obviously now we have tension in the Baltic Sea

0:16:32.520 --> 0:16:40.080
<v Speaker 5>right because we have you knowlitary military aircraft doing things

0:16:40.120 --> 0:16:42.200
<v Speaker 5>they're not supposed to do, so there's a lot of

0:16:42.200 --> 0:16:46.080
<v Speaker 5>tension in that area. Like one card that Western nations

0:16:46.240 --> 0:16:49.720
<v Speaker 5>could play was to actually control if they really wanted

0:16:49.720 --> 0:16:54.000
<v Speaker 5>to control that waters, like logistically they used to do

0:16:54.320 --> 0:16:59.080
<v Speaker 5>with one cannon, so it could be done. I think

0:16:59.240 --> 0:17:01.200
<v Speaker 5>part of the problem we have in the EU in

0:17:01.240 --> 0:17:04.320
<v Speaker 5>relation to Russia is that the EU and the European

0:17:04.560 --> 0:17:07.040
<v Speaker 5>are so afraid to escalate, right that those cards that

0:17:07.040 --> 0:17:10.520
<v Speaker 5>they actually have that could be very powerful cards are

0:17:10.600 --> 0:17:12.520
<v Speaker 5>just not not they're not being played, but they're not

0:17:12.560 --> 0:17:16.560
<v Speaker 5>even being talked about. So that was a that was

0:17:16.600 --> 0:17:18.600
<v Speaker 5>a more than one minute, but they gave you a

0:17:18.640 --> 0:17:20.440
<v Speaker 5>little bit of because we got there.

0:17:20.680 --> 0:17:24.240
<v Speaker 2>We got the Greenland distraction. Who's winning in Greenland today

0:17:24.320 --> 0:17:26.560
<v Speaker 2>is the US or Denmark? I mean, you've got this

0:17:26.640 --> 0:17:32.639
<v Speaker 2>whole Greenland distraction. Meanwhile, we have jets over NATO countries.

0:17:32.680 --> 0:17:36.159
<v Speaker 2>I mean it is bizarre. Right now, Denmark is building

0:17:36.200 --> 0:17:38.320
<v Speaker 2>up their military capabilities, right.

0:17:38.640 --> 0:17:44.680
<v Speaker 5>That's right, that's just an investment into air defense system,

0:17:44.920 --> 0:17:50.040
<v Speaker 5>like multimillion investments, right. And the interesting part about that

0:17:50.240 --> 0:17:52.639
<v Speaker 5>was that it was announced as an investment that also

0:17:52.760 --> 0:18:00.359
<v Speaker 5>had offensive capability, right, because the Prime Minister essentially said, like,

0:18:00.359 --> 0:18:03.400
<v Speaker 5>there's no point in only having If you only have defenses,

0:18:03.520 --> 0:18:07.159
<v Speaker 5>then how you're going to scare the aggressive on that.

0:18:07.280 --> 0:18:11.439
<v Speaker 2>Line with the technology of Stockholm and you know no

0:18:11.600 --> 0:18:14.080
<v Speaker 2>key years ago in that. Are you a believer that

0:18:14.160 --> 0:18:16.439
<v Speaker 2>Europe can get their technology act together?

0:18:18.920 --> 0:18:23.520
<v Speaker 5>I think you're seeing some signs of hope in countries

0:18:23.600 --> 0:18:26.920
<v Speaker 5>like Germany, where there's actually a bunch of AI startups

0:18:26.960 --> 0:18:33.760
<v Speaker 5>in robotics, AI robotics some people call the real world AI, right,

0:18:33.920 --> 0:18:38.520
<v Speaker 5>not just in a digital domain. So I think the

0:18:39.080 --> 0:18:42.919
<v Speaker 5>resource that Europe still has is that we have an

0:18:43.040 --> 0:18:48.480
<v Speaker 5>education system that still delivers a lot of well educated engineers,

0:18:48.560 --> 0:18:52.280
<v Speaker 5>computer sciences and so forth, so the human resource materials there,

0:18:53.200 --> 0:18:56.400
<v Speaker 5>maybe it will matter a few of those people go

0:18:56.600 --> 0:18:59.400
<v Speaker 5>to the United States and get an age one bbs. Right,

0:18:59.440 --> 0:19:03.280
<v Speaker 5>So there's all these different things happening right now where

0:19:03.080 --> 0:19:06.240
<v Speaker 5>the sort of relative force of the different labor market

0:19:06.280 --> 0:19:06.719
<v Speaker 5>is shifting.

0:19:06.800 --> 0:19:08.359
<v Speaker 2>Did you have an H and B visa when you

0:19:08.440 --> 0:19:09.120
<v Speaker 2>first came here?

0:19:09.280 --> 0:19:10.000
<v Speaker 5>I did not know.

0:19:10.119 --> 0:19:10.840
<v Speaker 2>I did.

0:19:11.760 --> 0:19:14.720
<v Speaker 5>I was with Goldvin Sacks in London and I did

0:19:14.720 --> 0:19:19.120
<v Speaker 5>a transfer with Goldman Sachs, So that's a different visus.

0:19:19.800 --> 0:19:23.760
<v Speaker 2>Excuse me, the embassy of Goldman Sachs picks up a.

0:19:23.800 --> 0:19:24.960
<v Speaker 4>Phone and it's done.

0:19:25.880 --> 0:19:26.600
<v Speaker 2>Yes, talk to us.

0:19:26.640 --> 0:19:28.760
<v Speaker 4>From when you're talking to your clients globally.

0:19:29.960 --> 0:19:32.679
<v Speaker 6>What's the level of concern, if any, about the independence

0:19:32.680 --> 0:19:34.240
<v Speaker 6>of the US fedter Reserve these days?

0:19:34.720 --> 0:19:42.560
<v Speaker 5>Well, very very elevated concern. I have a lot of

0:19:42.720 --> 0:19:47.280
<v Speaker 5>clients around the world right that invest in macro assets

0:19:47.280 --> 0:19:52.080
<v Speaker 5>on a very broad basis, including emergen market assets, and

0:19:52.680 --> 0:19:56.000
<v Speaker 5>those investors have a lot of experience and a lot

0:19:56.000 --> 0:20:01.840
<v Speaker 5>of you know, lessons that they drawn from being involved

0:20:01.920 --> 0:20:05.160
<v Speaker 5>in countries where central bank independence was a real problem

0:20:05.400 --> 0:20:10.800
<v Speaker 5>and it caused massive, massive asm moves when when essentially

0:20:10.880 --> 0:20:13.240
<v Speaker 5>the government took over the central bank or forced the

0:20:13.240 --> 0:20:15.800
<v Speaker 5>central bank to do certain things. We've seen that in Turkey, right,

0:20:15.880 --> 0:20:24.840
<v Speaker 5>where the government has pushed through certain to easy monetary policy, right,

0:20:24.880 --> 0:20:30.679
<v Speaker 5>and the currency has seen disastrous depreciation. So people have

0:20:30.760 --> 0:20:32.679
<v Speaker 5>those lessons in the back of the head, right, And

0:20:32.760 --> 0:20:36.080
<v Speaker 5>then it's a matter of Okay, what degree are we

0:20:36.119 --> 0:20:39.119
<v Speaker 5>going down? There's a path. We've certainly already taken a

0:20:39.119 --> 0:20:40.080
<v Speaker 5>step down this path.

0:20:40.160 --> 0:20:40.280
<v Speaker 2>Right.

0:20:40.320 --> 0:20:42.000
<v Speaker 5>You can see it in the dot plot. Right, you

0:20:42.080 --> 0:20:46.679
<v Speaker 5>had you had a new governor, right that had a

0:20:46.760 --> 0:20:48.679
<v Speaker 5>dot that was totally out of whack with all the

0:20:48.680 --> 0:20:51.320
<v Speaker 5>other dots. Right. So it's it's very clear that we're

0:20:51.320 --> 0:20:55.240
<v Speaker 5>going in that direction. But the question is whether it's

0:20:55.440 --> 0:20:56.560
<v Speaker 5>really dry policy.

0:20:56.640 --> 0:20:56.800
<v Speaker 2>Right.

0:20:56.880 --> 0:20:59.639
<v Speaker 5>You also saw that we only had one descent. So

0:20:59.680 --> 0:21:04.000
<v Speaker 5>it's all almost like the voting members of the f

0:21:04.160 --> 0:21:07.760
<v Speaker 5>m C decided mostly to say, Okay, we're actually going

0:21:07.800 --> 0:21:10.480
<v Speaker 5>to try to show a degree of consensus. There's one

0:21:10.520 --> 0:21:12.919
<v Speaker 5>dot we cannot do anything about, but we're trying to

0:21:12.960 --> 0:21:16.440
<v Speaker 5>do a degree of consensus about that audible.

0:21:16.600 --> 0:21:18.639
<v Speaker 2>We got to get this in before we go to

0:21:18.680 --> 0:21:22.560
<v Speaker 2>Michael Byron. One quick question, bestent of the Treasuries out

0:21:22.560 --> 0:21:26.199
<v Speaker 2>with a wide set of headlines. US is ready to

0:21:26.240 --> 0:21:29.879
<v Speaker 2>do what's needed to support Argentina. In a tweet, the

0:21:29.920 --> 0:21:33.520
<v Speaker 2>Secretary said, they want to make Argentina great again. Okay,

0:21:33.640 --> 0:21:36.200
<v Speaker 2>are you lying the Argentinian paeso because we're going to

0:21:36.280 --> 0:21:37.960
<v Speaker 2>bail out Argentina.

0:21:38.960 --> 0:21:42.439
<v Speaker 5>This is really interesting. We have a situation right where

0:21:43.720 --> 0:21:47.240
<v Speaker 5>the United States kind of has a fight with Brazil,

0:21:48.520 --> 0:21:53.640
<v Speaker 5>including terror, very elevated channel from Brazil that are mostly

0:21:53.720 --> 0:22:00.600
<v Speaker 5>based on a political tension with what is haptable scenarow right,

0:22:00.640 --> 0:22:04.680
<v Speaker 5>and now we have a situation where Argentina potentially might

0:22:04.720 --> 0:22:10.240
<v Speaker 5>get very favorable toreat and something that really has potentially

0:22:10.240 --> 0:22:15.840
<v Speaker 5>not happened since the Clinton bailout of Mexico, so very rare,

0:22:16.000 --> 0:22:20.560
<v Speaker 5>and it's happening because they like the leadership in Argentina playoffs,

0:22:21.000 --> 0:22:26.800
<v Speaker 5>So it's it becomes a situation where it's the relationships

0:22:27.640 --> 0:22:31.640
<v Speaker 5>at the highest level in government, including internationally, that might

0:22:31.680 --> 0:22:37.600
<v Speaker 5>determine really who gets tariffed, who gets support. And this

0:22:37.640 --> 0:22:40.520
<v Speaker 5>is a new regime we're in. This would have not

0:22:40.720 --> 0:22:44.000
<v Speaker 5>happen like this a couple of months ago, what should

0:22:44.000 --> 0:22:48.359
<v Speaker 5>we say, seven months ago? So new, new, new regime.

0:22:48.520 --> 0:22:50.680
<v Speaker 2>Don't be strange. He has Nord. Thank you so much.

0:22:50.680 --> 0:22:54.080
<v Speaker 2>Excity Data can't see enough of out his book of

0:22:54.160 --> 0:22:57.080
<v Speaker 2>a decade ago plus in the euro We looked for

0:22:57.119 --> 0:23:01.600
<v Speaker 2>another one out here. If missus Nordvigil to write volume four,

0:23:01.920 --> 0:23:06.080
<v Speaker 2>whatever it is, stay with us. More from Bloomberg Surveillance

0:23:06.160 --> 0:23:14.560
<v Speaker 2>coming up after this.

0:23:14.560 --> 0:23:18.480
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:23:18.520 --> 0:23:21.919
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:23:21.960 --> 0:23:24.920
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:23:25.000 --> 0:23:28.560
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:23:28.600 --> 0:23:31.159
<v Speaker 1>say Alexa Play Bloomberg eleven thirty.

0:23:31.520 --> 0:23:34.119
<v Speaker 2>Michelle Meyer with us the master Card. It's a first

0:23:34.160 --> 0:23:37.000
<v Speaker 2>look at the holiday season. I'm going to round up

0:23:37.040 --> 0:23:40.840
<v Speaker 2>the numbers because it's Monday. Online shopping up eight percent,

0:23:41.640 --> 0:23:45.520
<v Speaker 2>store shopping up two percent. Is that because the technology

0:23:45.560 --> 0:23:47.879
<v Speaker 2>and we like our Amazon boxes or is there a

0:23:47.920 --> 0:23:49.640
<v Speaker 2>backstory to that at MasterCard?

0:23:49.760 --> 0:23:52.479
<v Speaker 7>I mean, I think the technology and the digitalization of

0:23:52.640 --> 0:23:55.240
<v Speaker 7>the retail space has been happening for years and that

0:23:55.359 --> 0:23:59.040
<v Speaker 7>has been driving e commerce to see.

0:23:58.800 --> 0:24:00.360
<v Speaker 4>Faster growth rate to the last years.

0:24:00.359 --> 0:24:02.440
<v Speaker 7>But I do think there also is a specific story

0:24:02.440 --> 0:24:04.159
<v Speaker 7>this year which is around tariffs, and they need to

0:24:04.200 --> 0:24:07.520
<v Speaker 7>have even greater price discovery for consumers that are facing

0:24:07.680 --> 0:24:12.040
<v Speaker 7>varied prices depending on that sensitivity to tariffs, they're going

0:24:12.080 --> 0:24:13.360
<v Speaker 7>to want to be able to get the best deal

0:24:13.359 --> 0:24:14.919
<v Speaker 7>that's out there and find that value. And you can

0:24:14.960 --> 0:24:16.399
<v Speaker 7>do a lot more of that online.

0:24:16.960 --> 0:24:19.159
<v Speaker 6>So how is the consumer here? We had some retail

0:24:19.200 --> 0:24:21.160
<v Speaker 6>sales that look pretty darn solid.

0:24:21.240 --> 0:24:23.160
<v Speaker 4>So how do you feel the consumer these days?

0:24:23.560 --> 0:24:26.119
<v Speaker 7>I mean, I think the data is speaking really loudly

0:24:26.240 --> 0:24:29.680
<v Speaker 7>right now, which is that consumers are still engaged in spending.

0:24:29.720 --> 0:24:31.200
<v Speaker 7>You see it, as you just noted in the.

0:24:31.160 --> 0:24:33.440
<v Speaker 5>Censuspure of retail sales reports the last.

0:24:33.240 --> 0:24:36.600
<v Speaker 7>Few months showing some real healthy spend trends, and we

0:24:36.640 --> 0:24:38.760
<v Speaker 7>see it in our own insights as well with our

0:24:38.760 --> 0:24:44.240
<v Speaker 7>spending pool data that showed acceleration throughout the summer. So yes,

0:24:44.320 --> 0:24:48.000
<v Speaker 7>consumers are making choices in how they're using their purchasing power,

0:24:48.040 --> 0:24:49.359
<v Speaker 7>and I think a lot of that has to do

0:24:49.440 --> 0:24:51.960
<v Speaker 7>with where, again, they find the most value. They're trying

0:24:52.000 --> 0:24:54.600
<v Speaker 7>to navigate the tariff environment to the best of their ability,

0:24:55.240 --> 0:24:57.840
<v Speaker 7>and the sales numbers that we're looking at are of

0:24:57.880 --> 0:25:00.520
<v Speaker 7>course nominal sales, and we are still to see a

0:25:00.520 --> 0:25:03.080
<v Speaker 7>little bit higher goods inflation than certainly we saw this

0:25:03.119 --> 0:25:03.760
<v Speaker 7>time last year.

0:25:03.800 --> 0:25:07.520
<v Speaker 2>Will you break it down in your special MasterCard report

0:25:07.760 --> 0:25:11.119
<v Speaker 2>with smiling people on the cover because they're happy to

0:25:11.240 --> 0:25:16.040
<v Speaker 2>start shopping in September. Artificial Christmas trees, the tariff is

0:25:16.040 --> 0:25:19.720
<v Speaker 2>twenty seven yea percent. You're like the budget lab at Yale,

0:25:19.760 --> 0:25:23.439
<v Speaker 2>I mean, what is the calculation of tariff impact right now?

0:25:24.040 --> 0:25:26.520
<v Speaker 7>Absolutely, so we looked at just the data that the

0:25:26.560 --> 0:25:30.400
<v Speaker 7>Census Bear reports in terms of the teriff freight by

0:25:30.800 --> 0:25:33.320
<v Speaker 7>really granular category, because that's what we like to do.

0:25:33.359 --> 0:25:35.720
<v Speaker 7>We like to go really deep in terms of understanding

0:25:36.000 --> 0:25:39.679
<v Speaker 7>consumer spending by different categories. And certainly you are seeing

0:25:39.760 --> 0:25:43.000
<v Speaker 7>some like artificial trees stood out as one where tariffs

0:25:43.000 --> 0:25:45.679
<v Speaker 7>are significantly high than this time last year. So consumers

0:25:45.720 --> 0:25:49.240
<v Speaker 7>have to make decisions if they do indeed see some

0:25:49.280 --> 0:25:52.760
<v Speaker 7>of those tariff increases passed on to them, and that's

0:25:52.760 --> 0:25:55.119
<v Speaker 7>a question of if. Because retailers are also trying to

0:25:55.200 --> 0:25:57.960
<v Speaker 7>navigate this, then they'll have to decide if they want

0:25:58.000 --> 0:26:00.640
<v Speaker 7>to allocate more of their dollars to get that Christmas

0:26:00.640 --> 0:26:03.080
<v Speaker 7>tree or do something different. So there's going to be

0:26:03.080 --> 0:26:05.920
<v Speaker 7>a certain amount of substitution, where, when and where it's

0:26:05.960 --> 0:26:08.480
<v Speaker 7>possible to do that based off of where tariffs are

0:26:08.560 --> 0:26:10.080
<v Speaker 7>kicking it and showing up in the data.

0:26:10.160 --> 0:26:12.720
<v Speaker 6>So your forecast, how do you think the holiday season

0:26:12.760 --> 0:26:13.320
<v Speaker 6>will shape up?

0:26:13.320 --> 0:26:14.800
<v Speaker 4>How do you think spending will be this holiday?

0:26:14.920 --> 0:26:17.959
<v Speaker 7>So Tom gave the breakdown between e commerce and in store,

0:26:18.040 --> 0:26:20.160
<v Speaker 7>but to give the overall numbers, we're looking for three

0:26:20.200 --> 0:26:24.200
<v Speaker 7>point six percent retail sales ex autos, which is measured

0:26:24.359 --> 0:26:27.480
<v Speaker 7>good from Yeah, it's November first, the December twenty fourth,

0:26:27.560 --> 0:26:30.560
<v Speaker 7>knowing that, of course the holiday season starts even earlier.

0:26:30.640 --> 0:26:33.080
<v Speaker 7>We think it's kicking off now, but it just.

0:26:33.040 --> 0:26:36.600
<v Speaker 2>For scraz You should start Friday after Thanksgiving.

0:26:36.720 --> 0:26:42.200
<v Speaker 5>Yes, things have changed, that's still a big day.

0:26:42.240 --> 0:26:44.800
<v Speaker 7>Of course, Black Friday period is super important and we'll

0:26:44.840 --> 0:26:47.159
<v Speaker 7>be monitoring it really closely to understand the trends for

0:26:47.200 --> 0:26:47.639
<v Speaker 7>the season.

0:26:48.240 --> 0:26:50.080
<v Speaker 4>All right, Michelle, thank you so much. Appreciate that.

0:26:50.160 --> 0:26:53.720
<v Speaker 6>Michelle mayor joining us here in our studio. Michelle Mayer's

0:26:53.720 --> 0:26:57.120
<v Speaker 6>a chief economist North America for Massacart Economics Institute.

0:26:57.200 --> 0:26:58.880
<v Speaker 4>Well, if they don't get up, if they don't have a.

0:26:58.800 --> 0:27:01.240
<v Speaker 6>Finger on the pulse of spending on who doesn't I

0:27:01.240 --> 0:27:03.080
<v Speaker 6>mean I'll be throwing down the carton.

0:27:03.240 --> 0:27:05.520
<v Speaker 2>Do you get to go to Formula one? Like McLaren,

0:27:05.520 --> 0:27:08.399
<v Speaker 2>do you get to go like? Are you going to Austin?

0:27:08.480 --> 0:27:09.280
<v Speaker 4>I went to Vegas?

0:27:09.320 --> 0:27:10.240
<v Speaker 2>You're going to Austin?

0:27:10.280 --> 0:27:11.080
<v Speaker 4>You are kidding here?

0:27:11.359 --> 0:27:17.840
<v Speaker 2>No McLaren, Lando and Oscar? Yes, yes, yes? Who do

0:27:17.880 --> 0:27:18.480
<v Speaker 2>you root for?

0:27:19.080 --> 0:27:19.520
<v Speaker 5>All of these?

0:27:19.800 --> 0:27:24.640
<v Speaker 2>Scott? Who do you root for? Sharaison is Gaga over Oscar?

0:27:24.840 --> 0:27:27.440
<v Speaker 2>Come on, Oscar Orlando? We need to know.

0:27:29.200 --> 0:27:31.960
<v Speaker 7>Maybe Lando a little bit more, but Oscar's great to

0:27:32.080 --> 0:27:35.000
<v Speaker 7>I don't want to you know anybody wearing THO McLaren

0:27:35.040 --> 0:27:35.439
<v Speaker 7>colors on the.

0:27:35.600 --> 0:27:41.000
<v Speaker 2>Bottle it Michelle Meyer, Orlando crush. That's what I learned

0:27:41.040 --> 0:27:46.480
<v Speaker 2>today is the chief ecotomist. I'll carry your bags, the

0:27:46.560 --> 0:27:50.560
<v Speaker 2>Lewis Street luggage. You've got to Austin. I'll carry your bags.

0:27:50.840 --> 0:27:53.760
<v Speaker 2>Michell Meyer, Thank you so much. Stay with us. More

0:27:53.880 --> 0:28:04.199
<v Speaker 2>from Bloomberg Surveillance coming up after this.

0:28:04.200 --> 0:28:08.080
<v Speaker 1>This is the Bloomberg Surveillance podcast. Listen live each weekday

0:28:08.160 --> 0:28:11.159
<v Speaker 1>starting at seven am Eastern on Apple, Coarplay, and Android

0:28:11.200 --> 0:28:14.160
<v Speaker 1>Auto with the Bloomberg Business app. You can also watch

0:28:14.280 --> 0:28:17.199
<v Speaker 1>us live every weekday on YouTube and always on the

0:28:17.240 --> 0:28:18.280
<v Speaker 1>Bloomberg terminal.

0:28:18.440 --> 0:28:21.119
<v Speaker 2>What a great set of conversations today in this H

0:28:21.160 --> 0:28:24.199
<v Speaker 2>one V up forth. Thank you Josh Wingrove and our

0:28:24.240 --> 0:28:27.600
<v Speaker 2>team in Washington who broke that story. Huge impact by

0:28:27.600 --> 0:28:32.000
<v Speaker 2>Bloomberg News in our White House correspondence over the weekend.

0:28:32.119 --> 0:28:34.800
<v Speaker 2>We continue strong with god A mcinda joining us from

0:28:34.800 --> 0:28:38.680
<v Speaker 2>Bloomberg Opinion and also Yale School of Management. Okay, you

0:28:38.720 --> 0:28:41.280
<v Speaker 2>grew up in America, but you know the entire H

0:28:41.320 --> 0:28:45.960
<v Speaker 2>one B Malsterman in all that one hundred and fifty

0:28:46.040 --> 0:28:51.000
<v Speaker 2>thousand engineering graduates in America ten times, at eight times,

0:28:51.040 --> 0:28:55.520
<v Speaker 2>at whatever in India. I get the people that want

0:28:55.560 --> 0:28:59.760
<v Speaker 2>Americans to have jobs. But in your study, is there

0:28:59.800 --> 0:29:06.440
<v Speaker 2>anyway American engineering talent can make what percent of the

0:29:06.520 --> 0:29:08.280
<v Speaker 2>present H one B pool?

0:29:08.880 --> 0:29:10.120
<v Speaker 4>So it's not even close.

0:29:10.200 --> 0:29:12.640
<v Speaker 8>So H one b's are a huge supplement, and because

0:29:12.680 --> 0:29:15.719
<v Speaker 8>they're so hard to get, they're particularly sort of value added.

0:29:16.000 --> 0:29:16.160
<v Speaker 2>Right.

0:29:16.200 --> 0:29:18.479
<v Speaker 8>Well, what we actually see from H one b's is

0:29:18.520 --> 0:29:21.959
<v Speaker 8>they create jobs for American engineers because of right, because

0:29:22.200 --> 0:29:23.960
<v Speaker 8>that makes it easier to create companies, It makes it

0:29:24.000 --> 0:29:26.320
<v Speaker 8>easier to dumb it to lead in high skilled industries,

0:29:26.560 --> 0:29:28.480
<v Speaker 8>and so it's not a zero sum game. They don't

0:29:28.520 --> 0:29:29.680
<v Speaker 8>push out American engineers.

0:29:29.800 --> 0:29:33.360
<v Speaker 2>Okay, but help our audience. If there's one hundred jobs created,

0:29:33.920 --> 0:29:38.120
<v Speaker 2>how many can be people from Georgia Tech, Texas A

0:29:38.240 --> 0:29:42.120
<v Speaker 2>and m cal Tech. Is it like twenty thirty? Is

0:29:42.160 --> 0:29:44.560
<v Speaker 2>it eighty nine out of one hundred?

0:29:44.120 --> 0:29:48.000
<v Speaker 4>So in the US, So your thing as the proportion

0:29:48.080 --> 0:29:49.240
<v Speaker 4>of the h one d's.

0:29:49.080 --> 0:29:51.440
<v Speaker 2>If we eliminate H one B, how many of those

0:29:51.480 --> 0:29:54.000
<v Speaker 2>one hundred h one B jobs are going to be

0:29:54.040 --> 0:29:55.560
<v Speaker 2>taken by American engineers?

0:29:56.040 --> 0:29:58.600
<v Speaker 8>Oh so till we run out of engineers? Yes, so

0:29:58.640 --> 0:30:00.400
<v Speaker 8>it's one as we've run out of engineers. So the

0:30:00.440 --> 0:30:02.720
<v Speaker 8>problem isn't just that, it's that, you know, maybe twenty

0:30:02.760 --> 0:30:04.720
<v Speaker 8>or thirty of those were taken. It's that twenty or thirty,

0:30:04.840 --> 0:30:08.160
<v Speaker 8>But then we would lose fifty or sixty other American

0:30:08.200 --> 0:30:12.040
<v Speaker 8>engineering jobs from companies that aren't created, that don't grow

0:30:12.160 --> 0:30:14.160
<v Speaker 8>because they don't have access to this engineering count. The

0:30:14.160 --> 0:30:17.200
<v Speaker 8>total number of engineering of the total employment for American

0:30:17.240 --> 0:30:20.440
<v Speaker 8>engineers in the United States will go down, not up,

0:30:20.480 --> 0:30:20.960
<v Speaker 8>because of this.

0:30:21.640 --> 0:30:24.840
<v Speaker 6>Presumably the tech industry is one of the ones, if

0:30:24.880 --> 0:30:27.640
<v Speaker 6>not the most impacted here. Yet I don't hear much

0:30:27.680 --> 0:30:30.480
<v Speaker 6>from technology leaders. In fact, I see them accompanying the

0:30:30.480 --> 0:30:35.440
<v Speaker 6>President at various events, including over in London last week for.

0:30:35.400 --> 0:30:36.240
<v Speaker 4>His state visit.

0:30:37.280 --> 0:30:39.680
<v Speaker 6>Are you surprised that we haven't seen pushback from maybe

0:30:39.680 --> 0:30:42.880
<v Speaker 6>some corporate leadership or just some other business entities.

0:30:43.080 --> 0:30:44.000
<v Speaker 4>No, for two reasons.

0:30:44.080 --> 0:30:46.760
<v Speaker 8>The first is fear, right, Like, if you talk to

0:30:46.800 --> 0:30:49.040
<v Speaker 8>corporate leaders and you'll start starting to see people that

0:30:49.160 --> 0:30:51.280
<v Speaker 8>was the l CEO Sunit recently, where this was just

0:30:51.360 --> 0:30:52.320
<v Speaker 8>the consensus.

0:30:51.920 --> 0:30:53.080
<v Speaker 4>In the room.

0:30:53.280 --> 0:30:55.960
<v Speaker 8>Everybody is unhappy and no one wants to see say

0:30:55.960 --> 0:30:58.080
<v Speaker 8>anything about it because they think the president will come

0:30:58.080 --> 0:30:58.720
<v Speaker 8>after them if they do.

0:30:58.840 --> 0:30:58.920
<v Speaker 3>So.

0:30:59.080 --> 0:31:01.920
<v Speaker 8>Fear is a real company here. But the second is

0:31:02.440 --> 0:31:05.080
<v Speaker 8>the way this is structured is interesting in the way

0:31:05.120 --> 0:31:06.840
<v Speaker 8>it's done right. So there's this one hundred thousand dollars

0:31:06.840 --> 0:31:10.400
<v Speaker 8>fee which can be waived at the president's discretion for

0:31:10.480 --> 0:31:11.200
<v Speaker 8>any reason.

0:31:11.840 --> 0:31:13.160
<v Speaker 4>So in a real sense.

0:31:12.960 --> 0:31:15.920
<v Speaker 8>What this does is just create a huge, you know,

0:31:15.960 --> 0:31:18.880
<v Speaker 8>a huge incentive to cultivate the president. And it also

0:31:18.960 --> 0:31:22.080
<v Speaker 8>really helps sort of big incumbent companies over small scrappy ones.

0:31:22.400 --> 0:31:22.920
<v Speaker 4>Both of those.

0:31:22.960 --> 0:31:25.040
<v Speaker 8>If you're a major CEO leader, you might decide your

0:31:25.040 --> 0:31:27.840
<v Speaker 8>interests are go along tariffs.

0:31:28.080 --> 0:31:30.880
<v Speaker 6>I'm not sure where we are. I think the courts

0:31:30.960 --> 0:31:33.920
<v Speaker 6>are taking a look at these things. What's your view

0:31:33.960 --> 0:31:35.400
<v Speaker 6>of kind of where we are here, because I think

0:31:35.440 --> 0:31:37.360
<v Speaker 6>the Supreme Court's going to have some type of say here.

0:31:37.520 --> 0:31:39.640
<v Speaker 4>It's absolutely going to have some type of say.

0:31:39.680 --> 0:31:42.320
<v Speaker 8>And the Supreme Court has sort of to an unprecedented

0:31:42.360 --> 0:31:45.120
<v Speaker 8>extent and given deference to the Trump administration a way

0:31:45.120 --> 0:31:48.200
<v Speaker 8>that we just haven't seen this before in the modern era,

0:31:48.280 --> 0:31:50.840
<v Speaker 8>in ways that are pretty surprising that even other judges

0:31:50.840 --> 0:31:54.240
<v Speaker 8>are starving to call out as this is inappropriate. So

0:31:54.720 --> 0:31:58.120
<v Speaker 8>we don't know what they will do, and anyone's guess

0:31:58.520 --> 0:32:00.800
<v Speaker 8>has good on that. I think the law, most legal

0:32:00.960 --> 0:32:03.200
<v Speaker 8>analysts think that the law says that these terrors are

0:32:03.200 --> 0:32:05.320
<v Speaker 8>going to be overturned, but we don't know. But even

0:32:05.360 --> 0:32:08.800
<v Speaker 8>if they are, the Trump administration has ways to reimpose them.

0:32:09.000 --> 0:32:12.320
<v Speaker 8>So unfortunately, the Court is actually increasing the level of

0:32:12.400 --> 0:32:14.200
<v Speaker 8>uncertainty that's attached to the terrorist's not decreasing.

0:32:14.440 --> 0:32:17.800
<v Speaker 2>Gotta macunda with this Yale University a great set of

0:32:17.800 --> 0:32:22.240
<v Speaker 2>books out in presidential politics. Here on our talent, I

0:32:22.400 --> 0:32:27.920
<v Speaker 2>take immense umbrage about a huge body of Americans don't

0:32:28.000 --> 0:32:32.360
<v Speaker 2>understand the engineering heritage of many of our schools. How

0:32:32.400 --> 0:32:37.080
<v Speaker 2>many people actually know there's Yale engineering with all of

0:32:37.120 --> 0:32:41.080
<v Speaker 2>that nineteenth century heritage. So if I'm taking physics for

0:32:41.320 --> 0:32:46.880
<v Speaker 2>twenty thermodynamics and statistical mechanics, this is not an easy a,

0:32:47.160 --> 0:32:51.240
<v Speaker 2>is it? No? It's not? Okay? Fine, So if I'm

0:32:51.240 --> 0:32:56.120
<v Speaker 2>doing entropy at Yale, is the Indian education superior and

0:32:56.200 --> 0:32:59.840
<v Speaker 2>more rigorous than across America engineering?

0:33:00.120 --> 0:33:03.360
<v Speaker 8>So the median Indian education isn't. But there are a

0:33:03.400 --> 0:33:06.040
<v Speaker 8>lot of Indians. There are one point four billion of them.

0:33:06.280 --> 0:33:07.960
<v Speaker 8>If you're talking about the people who are going to

0:33:08.000 --> 0:33:10.840
<v Speaker 8>the its and places like that. My mother was both

0:33:10.880 --> 0:33:11.920
<v Speaker 8>her undergrad and her PhD.

0:33:12.000 --> 0:33:13.040
<v Speaker 4>It was from it compore.

0:33:13.840 --> 0:33:15.240
<v Speaker 2>Did she come here in an H one B?

0:33:16.000 --> 0:33:17.400
<v Speaker 4>She came here. She did not come here on an

0:33:17.480 --> 0:33:20.560
<v Speaker 4>H one B. She came here in the early seventies Maria.

0:33:20.480 --> 0:33:23.560
<v Speaker 2>But she got off an airplane somewhere. Did she take

0:33:23.600 --> 0:33:25.520
<v Speaker 2>an American job when she came here?

0:33:25.600 --> 0:33:27.880
<v Speaker 8>So she took a job in the United States, But

0:33:27.960 --> 0:33:30.200
<v Speaker 8>she did not take an American job because her skill

0:33:30.240 --> 0:33:32.720
<v Speaker 8>set was such that she was essentially the only person

0:33:32.760 --> 0:33:34.280
<v Speaker 8>in the world who was able to do the work

0:33:34.280 --> 0:33:37.920
<v Speaker 8>that she did for NASA, And so every single program,

0:33:38.000 --> 0:33:41.080
<v Speaker 8>every single American spacecraft that involved nuclear power and space

0:33:41.440 --> 0:33:43.400
<v Speaker 8>went through her at some point over the course of

0:33:43.400 --> 0:33:44.280
<v Speaker 8>her forty year career.

0:33:44.600 --> 0:33:48.360
<v Speaker 2>It literally, did she think we could use nuclear propulsion

0:33:48.400 --> 0:33:50.800
<v Speaker 2>to go to Mars? This was a raging dinner table.

0:33:50.880 --> 0:33:56.560
<v Speaker 2>Copper like buns and rolls were thrown over. This is

0:33:56.600 --> 0:33:59.240
<v Speaker 2>it her fault that we were supposed to develop nuclear

0:33:59.320 --> 0:34:01.520
<v Speaker 2>miss or rocketry rather to go to March.

0:34:01.680 --> 0:34:03.280
<v Speaker 4>It's not. It's actually a treaty problem.

0:34:03.320 --> 0:34:06.040
<v Speaker 8>But I will say when The Martian came out, exactly

0:34:06.160 --> 0:34:07.720
<v Speaker 8>one of the probes in the Martian is actually the

0:34:07.800 --> 0:34:10.719
<v Speaker 8>last mission she helped design. And so when she saw it,

0:34:10.760 --> 0:34:13.360
<v Speaker 8>I got a four page technical analysis of the movie

0:34:13.400 --> 0:34:13.839
<v Speaker 8>from her.

0:34:15.960 --> 0:34:17.120
<v Speaker 2>Read it. I loved it.

0:34:17.160 --> 0:34:19.439
<v Speaker 4>I thought it was great, Bud, thanks for setting this

0:34:19.440 --> 0:34:19.680
<v Speaker 4>to it.

0:34:20.200 --> 0:34:22.600
<v Speaker 8>But this is actually a key thing, right, This is

0:34:22.680 --> 0:34:25.799
<v Speaker 8>taking a skill set from India. Right, So, India, at

0:34:25.800 --> 0:34:29.080
<v Speaker 8>the time, one of the world's poorest countries, at ruinous expense,

0:34:29.640 --> 0:34:33.479
<v Speaker 8>educated America's finest scientist and engineers and let's sent them here.

0:34:33.960 --> 0:34:36.239
<v Speaker 8>This is a phenomenal deal for the United States. The

0:34:36.280 --> 0:34:39.400
<v Speaker 8>idea of every country in the world would kill to

0:34:39.440 --> 0:34:41.719
<v Speaker 8>get the best graduates of the Iets there that right,

0:34:41.800 --> 0:34:44.960
<v Speaker 8>like that is an asset of uncalculable value, and in

0:34:45.000 --> 0:34:47.640
<v Speaker 8>staid we seem to be throwing it away. It is

0:34:47.680 --> 0:34:50.600
<v Speaker 8>a decision that makes no sense on any level of

0:34:50.600 --> 0:34:51.440
<v Speaker 8>the national interest.

0:34:52.160 --> 0:34:53.759
<v Speaker 6>So what do you think, How do you think this

0:34:53.800 --> 0:34:54.960
<v Speaker 6>is going to play out? I mean, I'm sure it's

0:34:54.960 --> 0:34:57.680
<v Speaker 6>a topic of conversation at Yale, at Harvard and all

0:34:57.680 --> 0:34:58.759
<v Speaker 6>the places you hang your head.

0:34:59.120 --> 0:35:00.520
<v Speaker 4>How do you think this is going to play So.

0:35:00.480 --> 0:35:01.800
<v Speaker 8>One is there's going to be a lot of pushback.

0:35:01.800 --> 0:35:04.640
<v Speaker 8>For example, a lot of these people are like surgical residents.

0:35:05.040 --> 0:35:05.920
<v Speaker 8>We already have a.

0:35:05.960 --> 0:35:07.280
<v Speaker 4>Doctor's shortage in the United States.

0:35:07.320 --> 0:35:09.120
<v Speaker 8>People don't know this, but the United States has fewer

0:35:09.160 --> 0:35:11.800
<v Speaker 8>doctors per capita than any other industrial We got.

0:35:11.680 --> 0:35:13.040
<v Speaker 2>To cut to thee This is brilliant.

0:35:13.280 --> 0:35:13.400
<v Speaker 3>You know.

0:35:13.480 --> 0:35:15.920
<v Speaker 2>I have to have you back again. Got them just

0:35:16.280 --> 0:35:20.120
<v Speaker 2>on this. If the president does this, how does it

0:35:20.239 --> 0:35:25.120
<v Speaker 2>change in American's life at Georgia Tech Engineering or el Engineering.

0:35:25.640 --> 0:35:28.919
<v Speaker 8>So one is these schools will these schools become less

0:35:28.920 --> 0:35:31.440
<v Speaker 8>attractive to foreign students because a lot of them come

0:35:31.440 --> 0:35:32.920
<v Speaker 8>in in the expectation they will be able to stay

0:35:32.960 --> 0:35:34.919
<v Speaker 8>in the United States with an H one BBS, which

0:35:35.320 --> 0:35:38.760
<v Speaker 8>they find an incredibly attractive prospect. So first American schools,

0:35:38.800 --> 0:35:41.880
<v Speaker 8>which have historically gotten the best talent in the world,

0:35:42.080 --> 0:35:44.480
<v Speaker 8>are going to find it harder to do that. And

0:35:44.680 --> 0:35:47.040
<v Speaker 8>that's a big problem because those schools are the ones

0:35:47.040 --> 0:35:49.239
<v Speaker 8>that produce the new technologies that are the foundation for

0:35:49.400 --> 0:35:52.399
<v Speaker 8>new for new industries and new companies. So you want

0:35:52.400 --> 0:35:53.880
<v Speaker 8>them to keep spilling out that. You want them to

0:35:53.920 --> 0:35:57.560
<v Speaker 8>have the best global talent. So second, companies are going

0:35:57.600 --> 0:35:59.960
<v Speaker 8>to be more likely, not less likely, they're going to

0:35:59.960 --> 0:36:04.120
<v Speaker 8>be more likely to outsource American technology jobs outside of

0:36:04.120 --> 0:36:06.160
<v Speaker 8>the United States, because if they can't get the labor here,

0:36:06.640 --> 0:36:09.080
<v Speaker 8>they can get it in India. So you're going to

0:36:09.120 --> 0:36:12.160
<v Speaker 8>see more outsourcing and more offshoring for the sorts of

0:36:12.280 --> 0:36:14.280
<v Speaker 8>jobs that we actually desperately want.

0:36:14.160 --> 0:36:17.120
<v Speaker 2>For Microsoft setting up more in the United Kingdom with

0:36:17.280 --> 0:36:20.600
<v Speaker 2>that's the president's visit. Yeah, this is brilliant gun, Thank

0:36:20.640 --> 0:36:23.239
<v Speaker 2>you so much. With the Yale University. Can't say enough

0:36:23.239 --> 0:36:25.640
<v Speaker 2>about it. We'll do this, We'll do this again. That's

0:36:25.640 --> 0:36:26.440
<v Speaker 2>a nerd fest.

0:36:27.640 --> 0:36:29.800
<v Speaker 4>Did you watch some Marsha Yeah, awesome.

0:36:30.120 --> 0:36:35.520
<v Speaker 2>My mother said my father was literally crying during the movie. Yep,

0:36:35.680 --> 0:36:37.120
<v Speaker 2>they got so many things right.

0:36:37.920 --> 0:36:42.799
<v Speaker 1>This is the Bloomberg Surveillance podcast available on Apple, Spotify,

0:36:42.920 --> 0:36:47.200
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:36:47.320 --> 0:36:50.839
<v Speaker 1>seven to ten am Eastern on Bloomberg dot Com, the

0:36:50.880 --> 0:36:54.920
<v Speaker 1>iHeartRadio app, tune In, and the Bloomberg Business app. You

0:36:54.920 --> 0:36:58.319
<v Speaker 1>can also watch us live every weekday on YouTube and

0:36:58.480 --> 0:37:00.120
<v Speaker 1>always on the Bloomberg term no

0:37:07.239 --> 0:37:07.439
<v Speaker 6>Yeh