WEBVTT - Bessent: US Ready for Ramp-Up or Wind-Down of Russia Sanctions 

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<v Speaker 2>Stenovek on Bloomberg Radio.

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<v Speaker 4>The European capitals reactive as shock to President Trump's abrupt

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<v Speaker 4>turn against Ukrainian President Voldimir Zelenski, seeking simultaneously to reassure

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<v Speaker 4>Kiev that it has the continents backing while trying to

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<v Speaker 4>appeal to Washington now, President Trump yesterday embraced the Kremlins narrative,

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<v Speaker 4>denouncing Zelenski as a dictator his word. Trump warned in

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<v Speaker 4>a social media post that the Ukrainian leader had better

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<v Speaker 4>move fast to reach a deal with Russia or he's

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<v Speaker 4>not going to have a country left. Meantime, one more

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<v Speaker 4>thing to layer on top of this, the US signal

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<v Speaker 4>that sanctions really for Russia could be on the table

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<v Speaker 4>and talks over the world in Ukraine. Earlier today on Bloomberg,

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<v Speaker 4>US Treasury Secretary Scott Besson said that the US is

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<v Speaker 4>prepared to either ramp up or take down penalties based

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<v Speaker 4>on the Kremlin's willingness to negotiate.

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<v Speaker 5>He also talked about what the.

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<v Speaker 4>Administration seems to say is a misstep by the Ukrainian president.

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<v Speaker 6>I think President Vilensky unfortunately escalated and has put some

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<v Speaker 6>daylight between the escalator that a lot of his remarks

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<v Speaker 6>in Munich I thought were inappropriate. President Zelensky, when I

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<v Speaker 6>met with him, assured me that he'd be the signing

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<v Speaker 6>the minerals deal in Munich.

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<v Speaker 2>He has not.

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<v Speaker 6>And look the real purpose here, and I think it's

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<v Speaker 6>turned into this media circus that President Trump had a

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<v Speaker 6>very elegant plan, and it was bring the Ukrainians closer

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<v Speaker 6>to the US. Let's do this economic deal. And the

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<v Speaker 6>even Karl Rove in the Wall Street Journal this morning

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<v Speaker 6>approves of it that the US, with greater economic interest

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<v Speaker 6>in Ukraine, provides a security shield. So the sequencing of

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<v Speaker 6>what was going to happen was bring the Ukrainians closer

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<v Speaker 6>to the US through economic ties, convince the American people

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<v Speaker 6>and the American public, get them onside, and then tell

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<v Speaker 6>the Russians go to the negotiating table with a very

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<v Speaker 6>fulsome message that if we need to, we will take sanctions.

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<v Speaker 7>Up, Well, what about tapping the Russian frozen assets and

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<v Speaker 7>three hundred billion dollars? Would you force your European counterparts

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<v Speaker 7>to not just have them frozen, but actually tap them.

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<v Speaker 7>Trump talks about repaying the American taxpayer. Shouldn't Russia be

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<v Speaker 7>a part of that?

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<v Speaker 6>Well, what's happening now is they are being tapped. So

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<v Speaker 6>the returns from interest, the returns from the freezed asset pile,

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<v Speaker 6>is going to pay the Europeans. What's very important to

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<v Speaker 6>understand here is everything the US has done to date,

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<v Speaker 6>the American people, the American taxpayer is grant Europeans roughly

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<v Speaker 6>half of what they've done are loans, and the runoff

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<v Speaker 6>from the frozen assets is being used to repay European loans.

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<v Speaker 8>Have you communicated that to the Europeans? The europe sent

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<v Speaker 8>with them?

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<v Speaker 6>What's that?

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<v Speaker 8>Have you communicate to the Europeans that you're absent with them?

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<v Speaker 6>I think Vice President vents that are a pretty good

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<v Speaker 6>job in Unich.

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<v Speaker 8>Do you think they understand that the United States is

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<v Speaker 8>running a deficit of north of six percent, close to

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<v Speaker 8>seven percent, and that the budget for defense is north

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<v Speaker 8>of eight hundred billion dollars. Do they think do you

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<v Speaker 8>think they understand the gravity of the moment in the

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<v Speaker 8>United States the US perspective.

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<v Speaker 6>Look, I think that they understand that President Trump during

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<v Speaker 6>his first term this term, Vice President Vance and the

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<v Speaker 6>entire security apparatus had told them that many of the

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<v Speaker 6>countries are deficient in their NATO spending and they need to.

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<v Speaker 9>Come up all right.

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<v Speaker 4>That, of course, was US Treasury Secretary Scott Besson earlier

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<v Speaker 4>on Bloomberg Surveillance on Bloomberg Radio and TV along with

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<v Speaker 4>Jonathan Faraoh, Ann Marie Hordern and Lisa Bramo as the

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<v Speaker 4>co hosts of Bloomberg Surveillance will monitoring all of this

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<v Speaker 4>continue to report on the Russia Ukraine war and what

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<v Speaker 4>an end might look like is Bloomberg News International Affairs

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<v Speaker 4>communist Mark Champion he joins us now from London.

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<v Speaker 5>Mark, good to have you here with us.

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<v Speaker 4>The US Treasury Secretary said, the President is committed to

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<v Speaker 4>ending this conflict very quickly. It's now three years old

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<v Speaker 4>and still going. There are two players in that war,

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<v Speaker 4>and yet Ukraine seems to increasingly be cut out. Is

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<v Speaker 4>that a fair assessment?

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<v Speaker 5>Absolutely?

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<v Speaker 3>I mean, you can.

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<v Speaker 10>Ending wars is easy if one side surrenders, it capitulates

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<v Speaker 10>and the other side gets what they want. And the

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<v Speaker 10>reason that this war hasn't come to a settlement yet

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<v Speaker 10>is it the two sides remain really far apart, with

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<v Speaker 10>President Putin still making demands. Reportedly, for example, in Riad,

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<v Speaker 10>the demand Russian demand was repeated that NATO should go

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<v Speaker 10>back to its nineteen ninety seven borders, So that mean

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<v Speaker 10>Poland et cetera would have to leave NATO. So these

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<v Speaker 10>are still very sort of extensive demands on NATO let

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<v Speaker 10>alone Ukraine, and the Ukrainians obviously have been fighting a

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<v Speaker 10>war to prevent that because they understand that it would

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<v Speaker 10>mean that they no longer had a state, an independent state,

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<v Speaker 10>and the Russians have been clear that that is their intent.

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<v Speaker 10>So it is it's very difficult unless one side capitulates.

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<v Speaker 10>And I think what President Trump has basically done is

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<v Speaker 10>to identify that he has a lot of leverage with

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<v Speaker 10>one side because it's very dependent on American support and

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<v Speaker 10>financing and weapons, and very much less leverage with the other.

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<v Speaker 10>Is also I think identified that there's a lot more

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<v Speaker 10>to be gained, you know, by cutting a deal with

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<v Speaker 10>the Russians, they have more more to offer larger economy,

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<v Speaker 10>all that sort of thing. And you know, he did

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<v Speaker 10>make this proposal to the Ukrainians. It was, in fact,

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<v Speaker 10>originally Zelensky's idea. What the Treasury Sectorary omitted to say

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<v Speaker 10>in his interview was that the actual when he Zelensky

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<v Speaker 10>got the actual details of the US proposal, what it

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<v Speaker 10>says is that the Ukraine should hand over fifty of

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<v Speaker 10>all its natural resources, infrastructure, ports, et cetera, fifty revenues

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<v Speaker 10>to the US in perpetuity. And there was nothing in

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<v Speaker 10>the deal about security guarantees, and that the kinds of

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<v Speaker 10>things that Zelensky was trying to get. So it's you know,

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<v Speaker 10>it was a deal that was clearly designed to be rejected.

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<v Speaker 3>Mark.

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<v Speaker 9>One thing that I think is notable about this entire

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<v Speaker 9>conversation is the role of a Treasury secretary being part

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<v Speaker 9>of this negotiation. How should we think about that?

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<v Speaker 11>Well, I mean, actually, American Treasury secretaries are unique in

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<v Speaker 11>the world in the sense that one of the most

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<v Speaker 11>powerful foreign policy tools and weapons of coercion that the

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<v Speaker 11>United States has is the Treasury and its sanctions apparatus.

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<v Speaker 11>And they are extremely powerful, and it makes a lot

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<v Speaker 11>of sense that they should be involved you know, the

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<v Speaker 11>Secretary talked about lifting sanctions. Of course, both the EU

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<v Speaker 11>and the US have imposed sanctions on Russia. But essentially

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<v Speaker 11>if the US were to lift sanctions, that would be

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<v Speaker 11>the end of it, because the EU simply doesn't have

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<v Speaker 11>the kinds of you know, depth of enforcement personnel and

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<v Speaker 11>expertise that the US has. It doesn't have the US

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<v Speaker 11>dollar as a point of leverage, and it has no

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<v Speaker 11>experience whatsoever with enforcing secondary sanctions.

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<v Speaker 10>So you know, it doesn't surprise me at all that

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<v Speaker 10>he's involved.

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<v Speaker 4>I think what's also fascinating and intriguing about your column

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<v Speaker 4>is that this isn't about an end of the war,

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<v Speaker 4>but about the United States and President Trump negotiating a

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<v Speaker 4>reset with Russia. Again your view, But is it because

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<v Speaker 4>explain that, I guess I want to ask you. And

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<v Speaker 4>then is it because there is so much more potentially

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<v Speaker 4>that the US has to gain? Is it business interests?

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<v Speaker 4>Is it geopolitically? Is it in terms of maybe keeping

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<v Speaker 4>nuclear war at bay?

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<v Speaker 5>Is that it? And if so, is that such a

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<v Speaker 5>bad thing?

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<v Speaker 10>Well so, the Secretary of State Marco Rubio, after the

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<v Speaker 10>re meeting said very clearly that you know, there was

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<v Speaker 10>enormous opportunities to be had both geopolitical and economic for

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<v Speaker 10>the United States in securing this deal. And what I

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<v Speaker 10>was trying to say is that if you look at this,

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<v Speaker 10>you know, the Trump administration's approach in terms of them

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<v Speaker 10>trying to get what the Europeans want and the Ukrainians want,

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<v Speaker 10>which is the best possible deal to you know, retain

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<v Speaker 10>Ukraine's status as a sovereign state, retain as much land

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<v Speaker 10>as it can, etc. If that is the goal, then

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<v Speaker 10>nothing that President Trump has done makes sense because he

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<v Speaker 10>handed over some of the most important demands that the

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<v Speaker 10>Russians have made before talks have even begun, and in fact,

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<v Speaker 10>in read setting up teams to begin talks on a

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<v Speaker 10>ceasefire was just one of the outcomes and not the

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<v Speaker 10>one that was first listed. You know. The first one

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<v Speaker 10>that was listed was to restore diplomatic relation and economic

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<v Speaker 10>relations between Russia and the US. That's also why Ukraine

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<v Speaker 10>and europe were not at the table, because it wasn't

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<v Speaker 10>a deal that was primarily about them. The difficulty for

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<v Speaker 10>Ukraine and for the Europeans is that, you know, once

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<v Speaker 10>that once that's understood, then Ukraine and its ceasefire they

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<v Speaker 10>become just a lesser tool in a wider deal, and

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<v Speaker 10>they are both you know, something that the US you know,

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<v Speaker 10>has some leverage with over Russia because Russia wants, you know,

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<v Speaker 10>control over Ukraine. But it's also if Ukraine stands in

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<v Speaker 10>a way and won't give the you know, won't agree

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<v Speaker 10>to a deal and to the terms that are being imposed,

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<v Speaker 10>then it becomes the obstacle to the wider agreement that

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<v Speaker 10>President Trump is looking for. So it just makes a

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<v Speaker 10>lot more sense to me if you look at it

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<v Speaker 10>in those terms.

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<v Speaker 9>Mark, just about a minute left, what was this say?

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<v Speaker 9>Ignore that you think it's sent to the world and

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<v Speaker 9>sent to the US that the president yesterday called Zelensky

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<v Speaker 9>a quote dictator.

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<v Speaker 10>Very much. You know, again, in terms of that framing,

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<v Speaker 10>what he has identified is that Zilynsky and Ukraine are

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<v Speaker 10>the problem at this point as far as he's concerned.

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<v Speaker 10>So he is adopting the sort of Kremlin narrative in

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<v Speaker 10>order to try and undermine Zilensky and weaken him and uh,

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<v Speaker 10>you know, make make him understand that he has to

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<v Speaker 10>play ball or things will only get worse.

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<v Speaker 5>Unbelievable.

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<v Speaker 4>Yeah, just interesting, Mark, Thank you so much. Glad we

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<v Speaker 4>could chat with you about your column Today. Mark Champion,

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<v Speaker 4>his international affairs columnist for our Bloomberg Opinion team, joining

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<v Speaker 4>us from London again.

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<v Speaker 5>You can check out his column.

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<v Speaker 4>You can find it on the Bloomberg Terminal and at

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<v Speaker 4>Bloomberg dot com Slash Opinions.

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<v Speaker 2>You were listening to the Bloomberg Business Week podcast. Catch

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<v Speaker 9>Not an update either for sales or the giant retailer.

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<v Speaker 9>Walmart shares down around eight percent at one point earlier

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<v Speaker 9>in the session, the most in more than a year,

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<v Speaker 9>after it forecasts lower than expected profit for the full year,

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<v Speaker 9>signaling that even the world's largest retailer is not immune

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<v Speaker 9>to risks in the broader economic environment.

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<v Speaker 4>That's right, Walmart's CFO acknowledging quote uncertainties related to consumer behavior,

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<v Speaker 4>something we were just kind of talking about with our

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<v Speaker 4>own Jody Laurie. Uncertainty is related to consumer behavior and

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<v Speaker 4>global economic and geopolitical conditions. That from the Walmart CFO.

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<v Speaker 4>Keep in mind this comes just days after retail sales

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<v Speaker 4>signaled and abrupt pullback by consumers. So let's get to

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<v Speaker 4>it with more on Walmart's business what it may say

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<v Speaker 4>about the US consumer spending environment. With us is at

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<v Speaker 4>Emily Cohen. She's Bloomberg News Consumer team leader right here

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<v Speaker 4>in studio.

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<v Speaker 5>So Emily walk us.

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<v Speaker 4>Through this latest update on Walmart and wy investors are

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<v Speaker 4>so concerned.

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<v Speaker 12>Yeah, so it wasn't all together a bad report. Fourth

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<v Speaker 12>quarter sales were actually strong. Stock is down though on

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<v Speaker 12>a lower than expected profit guidance for the full year,

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<v Speaker 12>and you nailed it. The theme of the call with

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<v Speaker 12>analysts today was uncertainty. We just heard that word over

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<v Speaker 12>and over and over again, and that's a consumer sentiment.

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<v Speaker 12>That's tariffs, that's everything we're reading about in the news,

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<v Speaker 12>just making it really hard for these companies to project

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<v Speaker 12>what's going to happen.

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<v Speaker 9>Is that the issue though, it's that it's difficult to project.

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<v Speaker 9>They don't know what's going to happen. But because of that,

0:13:34.120 --> 0:13:36.320
<v Speaker 9>they're just setting out the worst case scenario here.

0:13:37.040 --> 0:13:40.079
<v Speaker 12>Yeah, I mean, this wasn't worst case for by any means.

0:13:40.120 --> 0:13:43.959
<v Speaker 12>Like Walmart has historically given conservative outlook to start the year.

0:13:44.040 --> 0:13:46.600
<v Speaker 12>Last year, they actually offered the same exact outlook three

0:13:46.640 --> 0:13:50.720
<v Speaker 12>to four percent, so it's it's definitely in line. It's conservative.

0:13:51.480 --> 0:13:54.960
<v Speaker 12>We read analysts Bobby Griffin say they're taking a conservative

0:13:55.000 --> 0:13:57.960
<v Speaker 12>approach on near term investments. We saw the cost of

0:13:57.960 --> 0:14:00.760
<v Speaker 12>the acquisition of Visio up here. That's still hitting the

0:14:00.760 --> 0:14:06.040
<v Speaker 12>bottom line for Walmart this year. So what typically happens

0:14:06.040 --> 0:14:09.920
<v Speaker 12>with Walmart as they raise their guidance early on in

0:14:09.960 --> 0:14:13.040
<v Speaker 12>the year. So it's not worst case scenario.

0:14:12.920 --> 0:14:15.120
<v Speaker 4>Because when they start the year with a cautious outlook, right,

0:14:15.160 --> 0:14:16.559
<v Speaker 4>and then raise as we go along.

0:14:16.320 --> 0:14:20.640
<v Speaker 12>It's sort of like in line with expectations. But expectations

0:14:20.680 --> 0:14:23.960
<v Speaker 12>are really high for Walmart. Their last year was their

0:14:24.000 --> 0:14:27.800
<v Speaker 12>strongest stock performance since nineteen ninety eight. The stock is

0:14:27.880 --> 0:14:30.720
<v Speaker 12>up seventy seven percent, although that will be lower over

0:14:30.720 --> 0:14:34.840
<v Speaker 12>the last twelve months after close today, So expectations are

0:14:34.840 --> 0:14:35.320
<v Speaker 12>really high.

0:14:35.440 --> 0:14:37.320
<v Speaker 4>And well, I think what's also interesting is, I remember

0:14:37.440 --> 0:14:39.120
<v Speaker 4>was it I feel like in the last quarter of

0:14:39.200 --> 0:14:42.720
<v Speaker 4>last year we were increasingly talking about and Walmart pointed

0:14:42.720 --> 0:14:45.640
<v Speaker 4>out that their consumer is also a higher end consumer.

0:14:45.800 --> 0:14:49.320
<v Speaker 4>So when we are trying to get if their higher

0:14:49.400 --> 0:14:53.160
<v Speaker 4>end consumer is even maybe pulling back or they're concerned

0:14:53.200 --> 0:14:55.920
<v Speaker 4>about that, you know, that does make you wonder about

0:14:56.160 --> 0:15:00.600
<v Speaker 4>consumer spending overall. They're having potentially a tougher time, then

0:15:00.720 --> 0:15:03.480
<v Speaker 4>you can assume everybody's having a tougher time for sure.

0:15:03.640 --> 0:15:06.280
<v Speaker 12>So I mean one of the areas that the biggest

0:15:06.320 --> 0:15:08.080
<v Speaker 12>area of growth for them right now in those last

0:15:08.120 --> 0:15:12.240
<v Speaker 12>quarter was those people from those higher income households, households

0:15:12.240 --> 0:15:14.640
<v Speaker 12>that are making one hundred thousand dollars or more. So

0:15:14.720 --> 0:15:17.360
<v Speaker 12>that makes me wonder where are they gaining that market

0:15:17.360 --> 0:15:21.760
<v Speaker 12>share from who's losing those those customers? And that's what

0:15:21.800 --> 0:15:24.440
<v Speaker 12>we'll be looking for. This is the start of big

0:15:24.480 --> 0:15:28.320
<v Speaker 12>box earning seasons. We have Target coming up, Costco Home Depot.

0:15:28.640 --> 0:15:31.200
<v Speaker 12>We'll be trying to decipher that a little bit more.

0:15:31.760 --> 0:15:34.840
<v Speaker 9>Do we know how Target, or rather how Walmart would

0:15:34.840 --> 0:15:38.080
<v Speaker 9>be affected by tariffs? They get certainly some food from Mexico.

0:15:38.360 --> 0:15:40.080
<v Speaker 9>I mean, you walk into a Walmart, it's going to

0:15:40.120 --> 0:15:42.280
<v Speaker 9>be hard to find something in there that's not from China.

0:15:42.560 --> 0:15:45.080
<v Speaker 9>Yeahs the what's the way that they're.

0:15:44.880 --> 0:15:47.960
<v Speaker 12>Impacting Yeah, Yeah, A lot of produces coming from Mexico.

0:15:48.080 --> 0:15:51.640
<v Speaker 12>A lot of general merchandise is coming from China. And

0:15:51.680 --> 0:15:54.360
<v Speaker 12>this isn't new to them either. I mean China tariffs

0:15:55.080 --> 0:15:59.280
<v Speaker 12>last time around with Trump hit them as well. But yeah,

0:15:59.280 --> 0:16:02.880
<v Speaker 12>they are definitely exposed to China, as are a lot

0:16:02.920 --> 0:16:03.840
<v Speaker 12>of their competitors.

0:16:04.120 --> 0:16:06.320
<v Speaker 4>Emily, I always think about you know, Walmart, They're just

0:16:06.520 --> 0:16:10.680
<v Speaker 4>they're massive, right, the world's largest, And you know there's

0:16:10.800 --> 0:16:14.360
<v Speaker 4>certain retailers that when something comes out of them, even

0:16:14.400 --> 0:16:16.680
<v Speaker 4>if historically they're cautious at the beginning, it does make

0:16:16.720 --> 0:16:17.360
<v Speaker 4>a stop and think.

0:16:17.400 --> 0:16:19.160
<v Speaker 5>But as you said, it's just the beginning of the

0:16:19.160 --> 0:16:19.680
<v Speaker 5>big box.

0:16:19.760 --> 0:16:22.640
<v Speaker 4>Is there something Target might say or who is it

0:16:22.680 --> 0:16:23.840
<v Speaker 4>that might say something that.

0:16:23.800 --> 0:16:24.920
<v Speaker 5>Says all right?

0:16:25.760 --> 0:16:28.160
<v Speaker 4>So maybe this is just the Walmart the way they operate,

0:16:28.200 --> 0:16:29.080
<v Speaker 4>and we'll get things better.

0:16:29.120 --> 0:16:29.280
<v Speaker 9>You know.

0:16:29.360 --> 0:16:31.480
<v Speaker 4>Is there someone that can help shape the narrative here

0:16:31.480 --> 0:16:32.200
<v Speaker 4>around retail?

0:16:32.520 --> 0:16:36.400
<v Speaker 12>Yeah, I think it'll be Target. Okay, last year, last quarter, rather,

0:16:36.480 --> 0:16:40.400
<v Speaker 12>we saw a pretty positive reaction from Wall Street after

0:16:40.440 --> 0:16:43.280
<v Speaker 12>Walmart earnings and then the complete opposite reaction.

0:16:43.320 --> 0:16:45.000
<v Speaker 5>Targets down almost two percent today.

0:16:45.080 --> 0:16:48.360
<v Speaker 12>Yeah, Target and Costco shares both fell immediately after Walmart

0:16:48.400 --> 0:16:52.320
<v Speaker 12>reported this morning, So we'll be looking to see that.

0:16:52.440 --> 0:16:55.840
<v Speaker 12>I mean, Target relies a lot on like discretionary spending.

0:16:55.880 --> 0:16:57.720
<v Speaker 12>You come into Target for one thing, and then you

0:16:57.720 --> 0:16:59.720
<v Speaker 12>see a lot of other cute things and you grab

0:16:59.760 --> 0:17:02.360
<v Speaker 12>them and and those are the kinds of things that

0:17:02.360 --> 0:17:04.320
<v Speaker 12>people are pulling back on right now. And if that

0:17:04.400 --> 0:17:07.359
<v Speaker 12>chopper is not even going to Walmart because they're sorry,

0:17:07.359 --> 0:17:09.199
<v Speaker 12>if they're not even going to Target because they're going

0:17:09.240 --> 0:17:12.400
<v Speaker 12>to Walmart instead, that's bad news for Target.

0:17:12.600 --> 0:17:15.720
<v Speaker 9>Does a report such as this apart from Target, a

0:17:15.760 --> 0:17:18.720
<v Speaker 9>report such as this from Walmart make you rethink expectations

0:17:18.720 --> 0:17:20.639
<v Speaker 9>for the entire sector for the current quarter?

0:17:21.080 --> 0:17:24.760
<v Speaker 12>For sure? Walmart is the bell weather of consumer spending.

0:17:24.880 --> 0:17:26.359
<v Speaker 9>What's the one we should be watching next?

0:17:26.800 --> 0:17:27.800
<v Speaker 12>I'm watching Target?

0:17:28.920 --> 0:17:31.119
<v Speaker 9>Yeah, a home depot. What is that going to tell us?

0:17:32.320 --> 0:17:34.879
<v Speaker 12>You know, home depot has a lot of other factors too,

0:17:35.119 --> 0:17:38.960
<v Speaker 12>whether other types of spending.

0:17:39.080 --> 0:17:40.760
<v Speaker 9>I mean, I'm also thinking about just like yeah, I'm

0:17:40.760 --> 0:17:43.440
<v Speaker 9>also thinking about the housing market. Yeah, to what extent,

0:17:43.720 --> 0:17:46.199
<v Speaker 9>you know, A dreary sort of outlook there, Yeah, for

0:17:46.240 --> 0:17:47.640
<v Speaker 9>sure affects that company.

0:17:48.200 --> 0:17:50.159
<v Speaker 12>Yeah, you buy a new house, you're moving into a

0:17:50.200 --> 0:17:53.240
<v Speaker 12>new house, you go to Walmart, Target, Costco or to

0:17:53.320 --> 0:17:55.520
<v Speaker 12>fill up on things. And if you're not buying a

0:17:55.520 --> 0:17:57.119
<v Speaker 12>new house, you're not buying those things.

0:17:57.359 --> 0:17:58.520
<v Speaker 5>Yeah, and we have seen pressure.

0:17:58.520 --> 0:18:00.920
<v Speaker 4>I'm just gonna I mean homes today are up about

0:18:00.960 --> 0:18:02.960
<v Speaker 4>nine tens of a percent just looking at what they're doing.

0:18:03.440 --> 0:18:05.440
<v Speaker 5>Sofa here in twenty twenty five, down about four percent.

0:18:05.480 --> 0:18:07.280
<v Speaker 4>But again we keep yesterday we got hit because of

0:18:07.280 --> 0:18:10.040
<v Speaker 4>Toll Brothers exactly exactly. But we do hear like the

0:18:10.080 --> 0:18:12.960
<v Speaker 4>conversation that if mortgage rates continue to stay hi. You know,

0:18:13.000 --> 0:18:15.240
<v Speaker 4>sometimes it makes people say, Okay, here's where we're settling.

0:18:15.280 --> 0:18:17.120
<v Speaker 4>I'll get off the fence and do something and buy

0:18:17.119 --> 0:18:19.200
<v Speaker 4>a home and then fill it with stuff. Others say,

0:18:19.280 --> 0:18:21.800
<v Speaker 4>I'm still going to wait till maybe things go down. Emily,

0:18:21.840 --> 0:18:25.240
<v Speaker 4>thank you, appreciate, thank you. The rundown on Walmart Emily Cone,

0:18:25.280 --> 0:18:27.720
<v Speaker 4>she's Consumer team leader here at Bloomberg News, joining us

0:18:28.000 --> 0:18:31.080
<v Speaker 4>right here in our studio. As we mentioned Walmart shares,

0:18:31.119 --> 0:18:34.160
<v Speaker 4>they are definitely under pressure. Stock down now about six

0:18:34.200 --> 0:18:37.040
<v Speaker 4>and a half percent, so just shy of.

0:18:37.240 --> 0:18:38.720
<v Speaker 5>Its worst levels of the day.

0:18:38.760 --> 0:18:40.359
<v Speaker 4>If we take a look at the trade here in

0:18:40.400 --> 0:18:43.600
<v Speaker 4>twenty twenty five for Walmart just up about seven point

0:18:43.680 --> 0:18:44.240
<v Speaker 4>six percent.

0:18:46.720 --> 0:18:50.520
<v Speaker 2>This is the Bloomberg Business Week Podcast. Listen live each

0:18:50.520 --> 0:18:53.520
<v Speaker 2>weekday starting at two pm Eastern up on applecar Play

0:18:53.640 --> 0:18:56.280
<v Speaker 2>and the Android Auto with the Bloomberg Business app. You

0:18:56.280 --> 0:18:59.440
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:18:59.480 --> 0:19:03.320
<v Speaker 2>New York State. Just Say Alexa played Bloomberg eleven thirty.

0:19:04.560 --> 0:19:06.240
<v Speaker 5>So this popped up on our radar today.

0:19:06.240 --> 0:19:10.119
<v Speaker 4>Bloomberg Opinion commas Tyler Cowen a professor of economics at

0:19:10.119 --> 0:19:10.920
<v Speaker 4>George Mason.

0:19:10.960 --> 0:19:13.480
<v Speaker 5>He's also a host of the Marginal Revolution blog.

0:19:13.520 --> 0:19:16.360
<v Speaker 4>He writes a column today that the US economy may

0:19:16.359 --> 0:19:19.119
<v Speaker 4>be heading towards stagflation. You know what that is a

0:19:19.119 --> 0:19:22.879
<v Speaker 4>combination of high inflation high unemployment, which last occurred in

0:19:22.880 --> 0:19:24.960
<v Speaker 4>the mid nineteen seventy, so it's been a while. He

0:19:25.119 --> 0:19:27.760
<v Speaker 4>notes that current inflation rates are three percent and may

0:19:27.800 --> 0:19:31.160
<v Speaker 4>increase due to factors such as rising rent rents, wage growth,

0:19:31.200 --> 0:19:34.680
<v Speaker 4>and also President Trump's trade policy, which could lead ultimately

0:19:34.680 --> 0:19:36.560
<v Speaker 4>to higher prices and tim Our next guest believes the

0:19:36.640 --> 0:19:39.919
<v Speaker 4>US economy can function perfectly well with inflation closer to

0:19:39.960 --> 0:19:42.000
<v Speaker 4>three percent. We'll see if he has any caveats to that.

0:19:42.240 --> 0:19:45.719
<v Speaker 9>We've got with us. Dan Genter, CEO of Genter Capital Management.

0:19:45.760 --> 0:19:47.800
<v Speaker 9>He joins us here in the Bloomberg a BusinessWeek studio,

0:19:47.800 --> 0:19:50.520
<v Speaker 9>they've got about seven and a quarter billion dollars in

0:19:50.560 --> 0:19:54.720
<v Speaker 9>assets under management. Dan good to see you three percent inflation.

0:19:55.119 --> 0:19:57.760
<v Speaker 9>We always talk about the FEDS target of two percent.

0:19:58.440 --> 0:20:00.600
<v Speaker 9>It's a long story about why that target it exists.

0:20:00.680 --> 0:20:03.240
<v Speaker 9>But three percent, why do you think it's manageable?

0:20:03.720 --> 0:20:05.600
<v Speaker 13>Well, look, it's been manageable for a very long period

0:20:05.640 --> 0:20:08.119
<v Speaker 13>of time. And three percent pretty well goes along with

0:20:08.160 --> 0:20:11.040
<v Speaker 13>long term population growth. Frankly, so it kind of runs

0:20:11.200 --> 0:20:13.480
<v Speaker 13>hand in hand that as you have that population growth,

0:20:13.520 --> 0:20:17.280
<v Speaker 13>you're consuming mort goods and services, and those prices tend

0:20:17.280 --> 0:20:18.800
<v Speaker 13>to go up in line with that. That's not even

0:20:18.840 --> 0:20:21.119
<v Speaker 13>taking into consideration if you have a one percent increase

0:20:21.160 --> 0:20:23.480
<v Speaker 13>in productivity, which is normal, kind of throws you back

0:20:23.480 --> 0:20:25.399
<v Speaker 13>into that two percent range when you're really looking at

0:20:25.480 --> 0:20:30.320
<v Speaker 13>effective prices from disposal income. So long term, that's, in

0:20:30.359 --> 0:20:33.480
<v Speaker 13>my opinion, a very very manageable number. I mean, the

0:20:34.000 --> 0:20:37.800
<v Speaker 13>significance of the number really becomes more of the Fed policy,

0:20:38.200 --> 0:20:40.880
<v Speaker 13>their outlook and the effect on interest rates, all right,

0:20:40.880 --> 0:20:44.399
<v Speaker 13>because you know, in a very simplified format, look, interest

0:20:44.480 --> 0:20:48.119
<v Speaker 13>rates basically determine the cost of everything. It determines your

0:20:48.119 --> 0:20:50.439
<v Speaker 13>cost of production, it determines your cost of financing, It

0:20:50.440 --> 0:20:53.159
<v Speaker 13>determines your cost for the two biggest items for almost

0:20:53.160 --> 0:20:56.639
<v Speaker 13>every American which is their mortgage and their car loans.

0:20:57.080 --> 0:20:58.240
<v Speaker 9>And so that's.

0:20:58.160 --> 0:21:01.240
<v Speaker 13>Really going to be the key with regards to how

0:21:01.280 --> 0:21:03.280
<v Speaker 13>fast do we go or how fast do we slow?

0:21:04.480 --> 0:21:08.439
<v Speaker 4>So interesting does it matter in terms of population growth?

0:21:09.400 --> 0:21:10.840
<v Speaker 5>The aging uh?

0:21:11.000 --> 0:21:14.480
<v Speaker 4>You know is it if it's population growth where I

0:21:14.480 --> 0:21:17.600
<v Speaker 4>don't know, with an aging population, does that kind of

0:21:17.680 --> 0:21:20.119
<v Speaker 4>change the outcome of things?

0:21:20.400 --> 0:21:20.919
<v Speaker 6>Just curious?

0:21:22.000 --> 0:21:26.359
<v Speaker 13>Yeah, Carol, radically changes the consumption patterns, right because you know,

0:21:26.440 --> 0:21:30.840
<v Speaker 13>there there's basically an economic phenomenon which has never been broken,

0:21:30.920 --> 0:21:34.679
<v Speaker 13>and that is that you cannot break the baby boomer bubble,

0:21:35.160 --> 0:21:38.000
<v Speaker 13>all right. That the baby boomer bubble made the Camaro,

0:21:38.160 --> 0:21:40.320
<v Speaker 13>it made the Mustang, you know, then it made the

0:21:40.680 --> 0:21:44.959
<v Speaker 13>suv and now it's moving to Mercedes and BMW and

0:21:45.080 --> 0:21:48.479
<v Speaker 13>vacation homes and you know, and you can't fight it.

0:21:48.480 --> 0:21:51.719
<v Speaker 13>It's just too big of a bubble of consumption. And

0:21:51.760 --> 0:21:53.840
<v Speaker 13>now when you have a situation to where you know

0:21:53.960 --> 0:21:57.720
<v Speaker 13>that that generation, if you will, is largely leaving the workforce,

0:21:58.280 --> 0:22:01.480
<v Speaker 13>then it's also become you know, a very high consumption,

0:22:02.160 --> 0:22:04.239
<v Speaker 13>but it's a different pattern of consumption. So they're not

0:22:04.280 --> 0:22:06.960
<v Speaker 13>buying as many of the consumer durable goods. They don't

0:22:06.960 --> 0:22:09.840
<v Speaker 13>buy as many refrigerators and other things that you know,

0:22:09.960 --> 0:22:12.840
<v Speaker 13>in many cases drive some of the underlying pressures and inflation,

0:22:13.000 --> 0:22:15.879
<v Speaker 13>but luxury goods and so on, you know, go on

0:22:15.920 --> 0:22:16.479
<v Speaker 13>to terror for that.

0:22:16.520 --> 0:22:17.520
<v Speaker 5>It's funny that you said that.

0:22:17.560 --> 0:22:19.560
<v Speaker 4>I actually just wrote up a report that talked about

0:22:19.640 --> 0:22:22.320
<v Speaker 4>luxury spending and how the luxury world has really kind

0:22:22.320 --> 0:22:27.960
<v Speaker 4>of ignored what they call the so called silver generation.

0:22:28.160 --> 0:22:31.160
<v Speaker 4>And there's some some stats from McKinsey that estimates almost

0:22:31.200 --> 0:22:33.520
<v Speaker 4>half of the incremental growth and consumer spending this year

0:22:33.680 --> 0:22:35.560
<v Speaker 4>compared with last year will be driven by.

0:22:35.440 --> 0:22:38.600
<v Speaker 5>Those older than fifty. And it's just kind of interesting.

0:22:38.280 --> 0:22:41.359
<v Speaker 4>To say, not ignore it, certainly for the luxury space,

0:22:41.359 --> 0:22:42.360
<v Speaker 4>but maybe more generally.

0:22:42.440 --> 0:22:44.719
<v Speaker 9>Well, look the evidence. Look at the end of last year.

0:22:44.720 --> 0:22:46.720
<v Speaker 13>You look at fourth quarter sending with regards of retail

0:22:46.760 --> 0:22:50.639
<v Speaker 13>goods and holiday spending, all right, and everyone was more

0:22:50.760 --> 0:22:52.679
<v Speaker 13>or less flat, all right. The only one I had

0:22:52.680 --> 0:22:56.240
<v Speaker 13>a big jump was Hermes, all right, So pretty well

0:22:56.240 --> 0:22:58.920
<v Speaker 13>confirms that situation. You take the upper of the upper end,

0:22:59.600 --> 0:23:01.760
<v Speaker 13>and they have plenty of money that's set aside. They

0:23:01.760 --> 0:23:06.200
<v Speaker 13>have plenty of capital since they're major investors, they're also

0:23:06.240 --> 0:23:09.199
<v Speaker 13>the major beneficiaries of the wealth effect from the stock market.

0:23:09.560 --> 0:23:11.200
<v Speaker 9>So, look, that part.

0:23:11.119 --> 0:23:13.600
<v Speaker 13>Of the consuming public feels very flush right now.

0:23:13.680 --> 0:23:16.360
<v Speaker 9>Okay, that part of the consuming public is not going

0:23:16.359 --> 0:23:18.800
<v Speaker 9>to be around forever. And I'm curious about what you

0:23:18.920 --> 0:23:22.879
<v Speaker 9>think of the next generation, especially with regard to the

0:23:22.920 --> 0:23:25.600
<v Speaker 9>way the economy has changed. We're now living in an

0:23:25.600 --> 0:23:28.160
<v Speaker 9>economy where people are wondering, Hey, what's going to happen

0:23:28.160 --> 0:23:31.520
<v Speaker 9>to my job as a result of disruption caused by AI?

0:23:31.760 --> 0:23:33.000
<v Speaker 9>How should we be thinking about that?

0:23:33.440 --> 0:23:35.240
<v Speaker 13>Well, look, there clearly is going to be a significant

0:23:35.240 --> 0:23:37.679
<v Speaker 13>amount of disruption for certain sectors. You know, there's going

0:23:37.720 --> 0:23:39.600
<v Speaker 13>to be a number of service jobs, you know, people

0:23:39.680 --> 0:23:42.720
<v Speaker 13>that are basically answering the phones and giving client service

0:23:42.760 --> 0:23:45.679
<v Speaker 13>over the phone for you know, various consumer products and

0:23:45.720 --> 0:23:49.400
<v Speaker 13>so on. Look, are recording in a robot can do that? Certainly?

0:23:49.880 --> 0:23:52.760
<v Speaker 13>And frankly, security jobs and things that robots can do.

0:23:52.800 --> 0:23:54.920
<v Speaker 13>Anything that you can automate, you know they're going to

0:23:54.920 --> 0:23:56.200
<v Speaker 13>be able to take over. Now, there's going to be

0:23:56.240 --> 0:23:58.879
<v Speaker 13>other jobs that it's not going to effect, and certain

0:23:58.920 --> 0:23:59.880
<v Speaker 13>things that it's going to help.

0:24:00.000 --> 0:24:02.320
<v Speaker 9>Well, so let's say those folks who do get displaced

0:24:02.359 --> 0:24:04.560
<v Speaker 9>by AI by robots, what do they then go and

0:24:04.560 --> 0:24:05.640
<v Speaker 9>do well.

0:24:05.680 --> 0:24:08.359
<v Speaker 13>Hopefully, what we're going to see is under the current administration,

0:24:08.480 --> 0:24:10.520
<v Speaker 13>there is going to be a very big push and

0:24:10.560 --> 0:24:12.399
<v Speaker 13>there's also going to be a lot of support for

0:24:12.520 --> 0:24:15.800
<v Speaker 13>recreating manufacturing jobs in this country. So what we see

0:24:15.880 --> 0:24:17.640
<v Speaker 13>is that there's probably going to be a fall off

0:24:18.160 --> 0:24:20.359
<v Speaker 13>in some of the low end jobs, but there'll be

0:24:20.359 --> 0:24:23.480
<v Speaker 13>an increase in some of the higher paying manufacturing and

0:24:23.720 --> 0:24:26.520
<v Speaker 13>those types of jobs, you know, more of what historically

0:24:26.520 --> 0:24:29.320
<v Speaker 13>we call the blue collar jobs that way have in America.

0:24:29.400 --> 0:24:31.680
<v Speaker 13>You know, especially as we try to move tech jobs back,

0:24:31.840 --> 0:24:35.960
<v Speaker 13>chip production back, you know, power generation, oil production. We're

0:24:35.960 --> 0:24:38.560
<v Speaker 13>trying to move everything back to make America great again.

0:24:38.880 --> 0:24:41.840
<v Speaker 13>And those are actually higher paying jobs than the ones

0:24:41.880 --> 0:24:44.320
<v Speaker 13>that are going to get displaced by robotics or.

0:24:44.240 --> 0:24:47.399
<v Speaker 4>Electronics, higher paying jobs, higher selleries. I'm all for it,

0:24:47.480 --> 0:24:50.000
<v Speaker 4>higher wages across the board, but that also probably means

0:24:50.119 --> 0:24:52.840
<v Speaker 4>everything costs a lot more. So, is it potentially it's

0:24:52.920 --> 0:24:55.480
<v Speaker 4>not just a three percent inflation rate, but a lot higher.

0:24:55.960 --> 0:24:57.840
<v Speaker 13>Well, I don't know that necessarily is going to cost

0:24:57.840 --> 0:25:01.680
<v Speaker 13>a lot more, because if you're increasing the estic supply, right, okay,

0:25:01.680 --> 0:25:06.600
<v Speaker 13>whether that be electronic jury and energy or or from

0:25:06.640 --> 0:25:10.159
<v Speaker 13>oil and gas, or manufacturing. If the supply is going up,

0:25:10.200 --> 0:25:12.280
<v Speaker 13>then the pricing is not necessarily going to go up.

0:25:12.440 --> 0:25:14.520
<v Speaker 13>So I think the concern about inflation is to say,

0:25:14.960 --> 0:25:16.960
<v Speaker 13>you know, where where is the pivot you.

0:25:16.920 --> 0:25:19.720
<v Speaker 4>Talked about higher paying jobs, so that if AI replaces

0:25:19.760 --> 0:25:21.399
<v Speaker 4>kind of those lower paying jobs and we have more

0:25:21.480 --> 0:25:23.680
<v Speaker 4>higher paying jobs. I mean, that is a cost line,

0:25:23.720 --> 0:25:24.560
<v Speaker 4>certainly on balancing.

0:25:24.680 --> 0:25:27.719
<v Speaker 13>Absolutely then depends on productivity, all right, because basically if

0:25:27.720 --> 0:25:29.800
<v Speaker 13>the wages go up but the productivity goes up, then

0:25:29.920 --> 0:25:32.040
<v Speaker 13>your cost of good sould is not necessarily going to

0:25:32.040 --> 0:25:33.400
<v Speaker 13>go up and you don't have to pass out along

0:25:33.440 --> 0:25:34.040
<v Speaker 13>to the consumer.

0:25:34.359 --> 0:25:34.520
<v Speaker 3>You know.

0:25:34.560 --> 0:25:37.480
<v Speaker 13>To me, a bigger issue, frankly, is that where do

0:25:37.520 --> 0:25:41.119
<v Speaker 13>the lines crossed between potential tariffs and then also taking

0:25:41.119 --> 0:25:44.080
<v Speaker 13>those production jobs you know, back to America, because if

0:25:44.080 --> 0:25:46.239
<v Speaker 13>you're in a position where you know, we do end

0:25:46.320 --> 0:25:48.359
<v Speaker 13>up in a trade war some type and you have

0:25:48.400 --> 0:25:51.400
<v Speaker 13>a literally overnight increase of fifteen to twenty percent, that's

0:25:51.480 --> 0:25:52.720
<v Speaker 13>clearly inflationary.

0:25:53.040 --> 0:25:54.240
<v Speaker 9>If you can't come back and.

0:25:54.200 --> 0:25:58.359
<v Speaker 13>Say, oh, we're going to now increase production domestically you know,

0:25:58.400 --> 0:26:00.240
<v Speaker 13>to where it's going to supplement that and take the

0:26:00.240 --> 0:26:00.920
<v Speaker 13>place do.

0:26:00.880 --> 0:26:03.240
<v Speaker 9>You think we will end up in a trade war. No,

0:26:04.000 --> 0:26:04.359
<v Speaker 9>I don't.

0:26:04.440 --> 0:26:08.120
<v Speaker 13>Well, I think we will have trade wars with certain countries.

0:26:08.160 --> 0:26:10.000
<v Speaker 13>I think our major trading partners that are going to

0:26:10.000 --> 0:26:13.800
<v Speaker 13>have the biggest effect are, you know, negotiating as we speak.

0:26:14.040 --> 0:26:16.679
<v Speaker 13>You know, we're seeing everybody coming to the table. If

0:26:16.720 --> 0:26:18.760
<v Speaker 13>it's going to be a tariff, it's going to be minimal.

0:26:19.640 --> 0:26:21.600
<v Speaker 13>So I think the idea of saying, look, if you

0:26:21.640 --> 0:26:23.520
<v Speaker 13>want to fight with us, we're going to have a

0:26:23.520 --> 0:26:26.040
<v Speaker 13>tariff and we'll collect money from you, you know, or

0:26:26.080 --> 0:26:28.879
<v Speaker 13>you want to work with us in essence where we're

0:26:29.160 --> 0:26:31.760
<v Speaker 13>you will take more of our goods and we'll take

0:26:31.800 --> 0:26:35.160
<v Speaker 13>your goods. Then basically that's advantageous to us because now

0:26:35.160 --> 0:26:37.679
<v Speaker 13>we're distributing more of our goods to other places in

0:26:37.720 --> 0:26:40.000
<v Speaker 13>the world, and that's advantageous Doe domestic companies.

0:26:40.320 --> 0:26:42.160
<v Speaker 4>Well, it's just interesting though. Then do you not think

0:26:42.160 --> 0:26:44.399
<v Speaker 4>that the end of global supply chains is near? Do

0:26:44.400 --> 0:26:46.280
<v Speaker 4>you think that ultimately, if we don't have a tariff war,

0:26:46.640 --> 0:26:48.639
<v Speaker 4>then global supply chains kind of stay put and we

0:26:48.720 --> 0:26:51.240
<v Speaker 4>don't necessarily bring everything back to the United States And

0:26:51.320 --> 0:26:52.520
<v Speaker 4>just got about twenty seconds.

0:26:52.560 --> 0:26:53.879
<v Speaker 13>Yeah, Look, I don't think we'll ever get out of

0:26:53.920 --> 0:26:56.240
<v Speaker 13>a global supply chain. I think that what we're going

0:26:56.240 --> 0:26:58.720
<v Speaker 13>to see is that we want to be treated fairly. Yeah,

0:26:58.720 --> 0:27:00.800
<v Speaker 13>we're not asking for a special treatment, just you know,

0:27:00.880 --> 0:27:04.040
<v Speaker 13>a level playing field. And then there's certainly some strategic

0:27:04.520 --> 0:27:07.360
<v Speaker 13>from national security that we don't want to be where

0:27:07.359 --> 0:27:09.119
<v Speaker 13>we're subject to all of our seven percent of our

0:27:09.160 --> 0:27:10.200
<v Speaker 13>chips being made in Taiwan.

0:27:10.280 --> 0:27:11.320
<v Speaker 5>All right, got to leave it on that note.

0:27:11.400 --> 0:27:13.200
<v Speaker 4>Dan, great to get some time with you, Dan Gender.

0:27:13.240 --> 0:27:15.600
<v Speaker 4>He is CEO of Jettor Capital Management.

0:27:16.280 --> 0:27:19.959
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:27:20.040 --> 0:27:23.040
<v Speaker 1>live weekday afternoons from two to five eas during Listen

0:27:23.119 --> 0:27:26.640
<v Speaker 1>on Applecarplay and Android Auto with the Bloomberg Business app,

0:27:26.840 --> 0:27:29.119
<v Speaker 1>or watch us live on YouTube.

0:27:29.640 --> 0:27:31.719
<v Speaker 9>We know that data centers used to power AI use

0:27:31.760 --> 0:27:33.200
<v Speaker 9>a lot of energy. We spent a lot of time

0:27:33.280 --> 0:27:35.520
<v Speaker 9>yesterday talking about where the power is going to come from,

0:27:35.560 --> 0:27:38.639
<v Speaker 9>totally showing up the grid in Texas. We talked to

0:27:38.920 --> 0:27:43.080
<v Speaker 9>Zach Dwall about that, and then also Maria Korsnik over

0:27:43.080 --> 0:27:46.680
<v Speaker 9>at the Nuclear Energy Institute about nuclear Here's some context, Carol.

0:27:48.400 --> 0:27:52.560
<v Speaker 9>Data centers use more electricity than most countries. Only sixteen nations,

0:27:52.600 --> 0:27:56.080
<v Speaker 9>including the US and China, consume more. If you take

0:27:56.119 --> 0:27:58.360
<v Speaker 9>all the data centers together, it's a lot. It's a lot.

0:27:58.400 --> 0:28:00.040
<v Speaker 9>It's a lot. So it does raise the question and

0:28:00.160 --> 0:28:02.520
<v Speaker 9>does the infrastructure exist to support these demands? And we're

0:28:02.520 --> 0:28:06.040
<v Speaker 9>not just talking electrical infrastructure, we're talking about the way

0:28:06.080 --> 0:28:09.200
<v Speaker 9>that computer systems and computer networks are built. Christina Shim

0:28:09.240 --> 0:28:10.840
<v Speaker 9>was part of a group of executives who tried to

0:28:10.880 --> 0:28:14.040
<v Speaker 9>answer that question today. She's Chief Sustainability Officer at IBM.

0:28:14.160 --> 0:28:16.919
<v Speaker 9>She was joined at her panel at the Future Investment

0:28:17.000 --> 0:28:21.440
<v Speaker 9>Initiative Institute in Miami by Sarah Fryar, CFO at OpenAI,

0:28:21.720 --> 0:28:25.399
<v Speaker 9>and Rogie Nanda, CEO at Data Vaults, among a few others.

0:28:25.440 --> 0:28:28.520
<v Speaker 9>Christina joins us now from Miami. Did you answer the

0:28:28.600 --> 0:28:31.600
<v Speaker 9>question today, Christina? Does the infrastructure exist?

0:28:32.920 --> 0:28:35.240
<v Speaker 14>I think you probably heard from most of us that

0:28:35.280 --> 0:28:38.760
<v Speaker 14>there is definitely constraints on capacity at the moment, But

0:28:38.800 --> 0:28:41.280
<v Speaker 14>the idea is more about how can we solution around that? Right,

0:28:41.440 --> 0:28:43.760
<v Speaker 14>So what we're trying to do is think about the

0:28:43.920 --> 0:28:46.360
<v Speaker 14>entire like you mentioned, the full stack of AI, So

0:28:46.360 --> 0:28:48.600
<v Speaker 14>it's not just about the data centers. It's yes, the

0:28:48.600 --> 0:28:52.160
<v Speaker 14>infrastructure supporting the data centers. It's also the chips. It's

0:28:52.200 --> 0:28:54.960
<v Speaker 14>also the models themselves. When you're thinking about AI, it's

0:28:55.000 --> 0:28:56.600
<v Speaker 14>the entire stack of it, and how you can be

0:28:56.640 --> 0:28:59.120
<v Speaker 14>intentional across all of those to be able to make

0:28:59.160 --> 0:29:01.960
<v Speaker 14>more of an increased in terms of capacity and decrease

0:29:02.000 --> 0:29:04.280
<v Speaker 14>in terms of energy requirements and usage.

0:29:04.440 --> 0:29:06.560
<v Speaker 9>If we think about this as like a chain, where

0:29:06.640 --> 0:29:07.520
<v Speaker 9>is the weakest link?

0:29:09.160 --> 0:29:12.040
<v Speaker 14>Oh, I mean, look, I think there's good ways to

0:29:12.080 --> 0:29:15.880
<v Speaker 14>be intentional across all of those areas. Look the chips themselves.

0:29:15.960 --> 0:29:19.160
<v Speaker 14>We're talking about in the last fifteen years, a ninety

0:29:19.240 --> 0:29:22.520
<v Speaker 14>nine percent increase in efficiency in chips. One of the

0:29:22.600 --> 0:29:24.840
<v Speaker 14>chips that we're investing in is called the North Pole

0:29:25.240 --> 0:29:27.640
<v Speaker 14>and it's really based on the physiology of the brain

0:29:28.120 --> 0:29:30.840
<v Speaker 14>and that and of itself has shown twenty five times

0:29:30.880 --> 0:29:34.080
<v Speaker 14>more efficiency than the pre previous iterations of the chips

0:29:34.080 --> 0:29:35.880
<v Speaker 14>that we had worked on. If you think about the

0:29:35.920 --> 0:29:39.200
<v Speaker 14>infrastructure too, and how they can potentially be tied in

0:29:39.320 --> 0:29:43.240
<v Speaker 14>terms of the processing to renewable energy or other energy sources,

0:29:43.600 --> 0:29:46.520
<v Speaker 14>you can also think about every iteration of the mainframe

0:29:46.640 --> 0:29:50.120
<v Speaker 14>and other infrastructure, hard infrastructure that's going into the data

0:29:50.120 --> 0:29:54.160
<v Speaker 14>centers being increasingly generation by generation more and more efficient

0:29:54.520 --> 0:29:57.520
<v Speaker 14>tied to different sources of energy that are required. And

0:29:57.560 --> 0:30:00.240
<v Speaker 14>so I think that, combined with how we think about

0:30:00.240 --> 0:30:05.160
<v Speaker 14>this journey of smaller models that are much more efficients,

0:30:05.480 --> 0:30:08.200
<v Speaker 14>that are really much more efficient, not just efficient, but

0:30:08.240 --> 0:30:11.800
<v Speaker 14>fit for purpose, more intentional about the use cases. Tying

0:30:11.840 --> 0:30:14.160
<v Speaker 14>all of this together, you're really creating a much more

0:30:14.160 --> 0:30:16.720
<v Speaker 14>powerful way of thinking about the computing capacity and the

0:30:16.720 --> 0:30:18.280
<v Speaker 14>constraints that we're currently facing.

0:30:19.920 --> 0:30:21.880
<v Speaker 4>I have to say, I did a quick Google search,

0:30:21.960 --> 0:30:24.200
<v Speaker 4>so forgive me for my did.

0:30:24.080 --> 0:30:25.800
<v Speaker 9>You use the AI part of the Google s.

0:30:26.200 --> 0:30:28.600
<v Speaker 5>I didn't use? I did not, but I was like intrigued.

0:30:28.640 --> 0:30:31.200
<v Speaker 4>When you said north Pole physiology of the brain, I

0:30:31.280 --> 0:30:34.640
<v Speaker 4>was like, wait what, and so my understanding I'm looking

0:30:34.880 --> 0:30:37.880
<v Speaker 4>so co locates memory and processing and the connections between

0:30:37.920 --> 0:30:41.320
<v Speaker 4>neurons inspired by the brain. North Po tightly couple's memory

0:30:41.320 --> 0:30:44.640
<v Speaker 4>with the chips compute units and control logic, leading to

0:30:44.720 --> 0:30:47.360
<v Speaker 4>a massive thirteen terabytes per second.

0:30:47.120 --> 0:30:49.200
<v Speaker 5>On chip memory bandwidth. Did I get it right?

0:30:50.040 --> 0:30:50.560
<v Speaker 14>Incredible?

0:30:50.640 --> 0:30:50.840
<v Speaker 6>Right?

0:30:50.880 --> 0:30:52.520
<v Speaker 14>I mean, look, I'm not going to be the technical

0:30:52.520 --> 0:30:54.080
<v Speaker 14>experts to speak to all of the ins and outs

0:30:54.080 --> 0:30:56.680
<v Speaker 14>of that particular model, but the fact of the matter

0:30:56.800 --> 0:30:59.560
<v Speaker 14>is there are some amazing investments in research and technology

0:30:59.600 --> 0:31:02.520
<v Speaker 14>that are across as I mentioned the entire stack, the

0:31:02.600 --> 0:31:04.720
<v Speaker 14>chips being one of them, and how cool is that

0:31:04.720 --> 0:31:06.120
<v Speaker 14>it is being you know, kind of builds off the

0:31:06.120 --> 0:31:08.360
<v Speaker 14>physiology of how we think about our brain mass.

0:31:08.400 --> 0:31:10.280
<v Speaker 4>It's just kind of sorry, it was, you know, the

0:31:10.280 --> 0:31:11.520
<v Speaker 4>elephant in the living room.

0:31:11.520 --> 0:31:12.520
<v Speaker 5>I had to go there.

0:31:12.640 --> 0:31:15.000
<v Speaker 4>Having said that, though, Christina, you know when you talk

0:31:15.040 --> 0:31:18.720
<v Speaker 4>about you know, more productive chips, more efficient chips, what

0:31:18.760 --> 0:31:21.440
<v Speaker 4>does that mean though? In terms of energy demand? You know,

0:31:21.560 --> 0:31:25.320
<v Speaker 4>I did moderate this panel about a week ago and

0:31:25.320 --> 0:31:28.520
<v Speaker 4>it was with the Nuclear Energy Institute, and it was about,

0:31:28.560 --> 0:31:32.520
<v Speaker 4>you know how powered demand, which hasn't really moved for

0:31:32.760 --> 0:31:36.800
<v Speaker 4>a long time, has now increased dramatically over the last

0:31:36.880 --> 0:31:40.320
<v Speaker 4>year or so and the forecasts continue to see that growth.

0:31:40.600 --> 0:31:42.920
<v Speaker 5>So are these chips which.

0:31:42.760 --> 0:31:47.200
<v Speaker 4>Increasingly are needed, efficient enough, productive enough to kind of

0:31:47.240 --> 0:31:50.200
<v Speaker 4>outpace that overall growth in demand.

0:31:50.280 --> 0:31:51.480
<v Speaker 5>Because it sounds like no.

0:31:52.240 --> 0:31:53.720
<v Speaker 14>Yeah, I think, you know, to be honest, I think

0:31:53.720 --> 0:31:57.200
<v Speaker 14>the innovation needs to continue, right, and so there's continued

0:31:57.280 --> 0:32:00.680
<v Speaker 14>technological innovation. Is it going to solve all problems at

0:32:00.680 --> 0:32:04.080
<v Speaker 14>this current moment? No, But I think going forward, the

0:32:04.120 --> 0:32:06.440
<v Speaker 14>fact that there is this increased innovation across all the

0:32:06.480 --> 0:32:09.320
<v Speaker 14>different areas of technology that affects how we think about

0:32:09.600 --> 0:32:13.400
<v Speaker 14>capacity constraints and infrastructure for AI. We will get there

0:32:13.640 --> 0:32:15.480
<v Speaker 14>and let the I give you an example for the

0:32:15.520 --> 0:32:19.440
<v Speaker 14>AI specific chips and infrastructure. We had set up a

0:32:19.520 --> 0:32:23.160
<v Speaker 14>set of accelerators of these chips that were installed at

0:32:23.200 --> 0:32:25.800
<v Speaker 14>the University of Alabama and Huntsville, which is just down

0:32:25.800 --> 0:32:29.520
<v Speaker 14>the road from the NASA Marshall Space Center. And why

0:32:29.560 --> 0:32:31.920
<v Speaker 14>that's relevant is that we have a partnership with NASA.

0:32:32.360 --> 0:32:36.160
<v Speaker 14>We have built these geospatial foundation models. This set of

0:32:36.280 --> 0:32:40.760
<v Speaker 14>AIU accelerated accelerator chips that were installed there for gen

0:32:40.800 --> 0:32:44.800
<v Speaker 14>AI experiments was incredible because we were able to do

0:32:44.880 --> 0:32:48.720
<v Speaker 14>a lot of the climate and geospatial testing of these

0:32:48.760 --> 0:32:51.280
<v Speaker 14>models off of these chips, and just an early tests

0:32:51.320 --> 0:32:53.880
<v Speaker 14>alone with these models, we saw that the cluster could

0:32:53.960 --> 0:32:57.080
<v Speaker 14>run three times more efficiently than the commercial GPUs that

0:32:57.120 --> 0:33:01.320
<v Speaker 14>are out there. So, while it may not be the

0:33:01.000 --> 0:33:04.520
<v Speaker 14>the answer to all things at the moment, we're seeing

0:33:04.520 --> 0:33:08.200
<v Speaker 14>that there is increased acceleration of the innovation that goes

0:33:08.240 --> 0:33:11.320
<v Speaker 14>into how we can solve this problem for the medium

0:33:11.360 --> 0:33:12.040
<v Speaker 14>to longer term.

0:33:12.120 --> 0:33:13.960
<v Speaker 9>Yeah, Christina, Caroly and I have spent a lot of

0:33:13.960 --> 0:33:16.240
<v Speaker 9>time over the last few weeks playing with Chad GPT

0:33:16.640 --> 0:33:18.000
<v Speaker 9>is that your only is that.

0:33:17.960 --> 0:33:19.560
<v Speaker 5>What you're That's the only one I've played.

0:33:19.320 --> 0:33:20.840
<v Speaker 9>Around you, not like a Gemini person.

0:33:20.920 --> 0:33:23.040
<v Speaker 5>Yet I haven't gotten there, and I haven't.

0:33:22.800 --> 0:33:24.600
<v Speaker 9>Paid the quad for you.

0:33:24.720 --> 0:33:28.080
<v Speaker 5>Yet it stops showing up. No deep Seek, No deep Seek.

0:33:28.120 --> 0:33:29.520
<v Speaker 9>I don't know if you're allowed to use deep Seek.

0:33:29.560 --> 0:33:30.560
<v Speaker 5>I don't know that I am either.

0:33:30.680 --> 0:33:32.640
<v Speaker 4>I'm not actually sure I'm allowed to use it here.

0:33:32.800 --> 0:33:34.320
<v Speaker 9>I have to use it on my phone. Yeah, So

0:33:34.600 --> 0:33:36.320
<v Speaker 9>it does raise the question though. So we've been doing

0:33:36.360 --> 0:33:38.440
<v Speaker 9>you know, we haven't been. We're not power users by

0:33:38.480 --> 0:33:41.120
<v Speaker 9>any means, but I love to when we talk to

0:33:41.160 --> 0:33:43.560
<v Speaker 9>people like you, to have you lay out a vision

0:33:43.600 --> 0:33:45.960
<v Speaker 9>for us, because we understand what these lllms can do.

0:33:46.440 --> 0:33:47.959
<v Speaker 9>But what's the world we're going to be living in,

0:33:48.000 --> 0:33:49.760
<v Speaker 9>say five to ten years, and the role AI is

0:33:49.760 --> 0:33:50.360
<v Speaker 9>going to have in it?

0:33:51.760 --> 0:33:53.520
<v Speaker 14>You know, it's funny you say five to ten years.

0:33:53.520 --> 0:33:55.640
<v Speaker 14>I would say even pause. It a lot closer to

0:33:55.720 --> 0:33:58.200
<v Speaker 14>us than that. I mean, lllms are think what people

0:33:58.240 --> 0:34:00.440
<v Speaker 14>are most used to because we're already used to like

0:34:00.480 --> 0:34:04.000
<v Speaker 14>Google searches. Everything is done by words. But the multi

0:34:04.080 --> 0:34:06.960
<v Speaker 14>modal element is going to be huge going forward. It

0:34:07.000 --> 0:34:09.319
<v Speaker 14>already is right, the fact that you can speak to it,

0:34:09.520 --> 0:34:12.120
<v Speaker 14>the fact that you can snap a picture, that it

0:34:12.200 --> 0:34:14.440
<v Speaker 14>creates pictures for you. So the generative aspect from a

0:34:14.480 --> 0:34:17.960
<v Speaker 14>multile my modal perspective is going to be much bigger.

0:34:18.280 --> 0:34:20.520
<v Speaker 14>That's going to include video, that's going to include what

0:34:20.560 --> 0:34:23.480
<v Speaker 14>I mentioned about geospatial I mean, all of these different

0:34:23.480 --> 0:34:26.120
<v Speaker 14>ways of really making sense of the world and the

0:34:26.160 --> 0:34:28.560
<v Speaker 14>world and the technology making sense of things for us

0:34:28.719 --> 0:34:31.080
<v Speaker 14>is going to be profound, and that I don't think

0:34:31.080 --> 0:34:32.960
<v Speaker 14>it's going to take five years. Already happening now, but

0:34:33.000 --> 0:34:35.799
<v Speaker 14>at a much more accelerated pace of adoption because as

0:34:35.840 --> 0:34:37.920
<v Speaker 14>you said, the power the power users maybe using them,

0:34:37.920 --> 0:34:40.040
<v Speaker 14>but the average users may not be. I think that

0:34:40.040 --> 0:34:42.480
<v Speaker 14>that's where you know the next, the next iteration of

0:34:42.520 --> 0:34:43.160
<v Speaker 14>this will be going.

0:34:43.320 --> 0:34:46.040
<v Speaker 4>But do you are you concerned when you think about

0:34:46.040 --> 0:34:50.520
<v Speaker 4>sustainability in particular? That's what your job is, chief sustainability officer,

0:34:50.560 --> 0:34:52.080
<v Speaker 4>And I'm not quite sure how you define it.

0:34:52.400 --> 0:34:54.000
<v Speaker 5>As we ramp up.

0:34:54.760 --> 0:34:57.960
<v Speaker 4>Energy or try to meet the energy demand from AI

0:34:58.000 --> 0:35:01.080
<v Speaker 4>and just the electrification of our world thing increased industrialization

0:35:01.160 --> 0:35:03.239
<v Speaker 4>once again of our world, I mean, are we able

0:35:03.280 --> 0:35:08.800
<v Speaker 4>to do it in a sustainable, greener without harming Earth

0:35:08.920 --> 0:35:10.560
<v Speaker 4>anymore than we already have.

0:35:10.719 --> 0:35:14.480
<v Speaker 14>Yeah, right, it's a very important question, so thank you

0:35:14.520 --> 0:35:17.680
<v Speaker 14>for asking it. I think the idea is that just

0:35:17.719 --> 0:35:21.680
<v Speaker 14>as much as energy efficiencies has increased or improved over

0:35:21.719 --> 0:35:25.120
<v Speaker 14>the last several decades, it will continue to do so.

0:35:25.120 --> 0:35:28.240
<v Speaker 14>So while it is requiring an immense amount of energy

0:35:28.640 --> 0:35:31.520
<v Speaker 14>and water as well for data center cooling at the

0:35:31.560 --> 0:35:34.800
<v Speaker 14>current moment, because of a lot of the technological innovation,

0:35:35.000 --> 0:35:37.480
<v Speaker 14>I have hope that that's actually where we will be

0:35:37.480 --> 0:35:39.960
<v Speaker 14>able to manage some of the and mitigate for the

0:35:40.000 --> 0:35:43.719
<v Speaker 14>environmental footprint. And I said before too, and I'll say

0:35:43.719 --> 0:35:46.399
<v Speaker 14>it one more time that the intentionality of how we

0:35:46.440 --> 0:35:49.799
<v Speaker 14>think about using AI is really important. So how you

0:35:49.800 --> 0:35:52.600
<v Speaker 14>think about what chips you're using and how energy efficient

0:35:52.640 --> 0:35:55.840
<v Speaker 14>those are your infrastructure, And again, as I mentioned, is

0:35:55.880 --> 0:35:58.960
<v Speaker 14>it closely tied to a data center that's using renewable

0:35:59.040 --> 0:36:01.399
<v Speaker 14>energy versus oil and gas. That will make a huge

0:36:01.400 --> 0:36:04.200
<v Speaker 14>difference as well. And also the size of the model, right,

0:36:04.200 --> 0:36:07.760
<v Speaker 14>you don't need a trillion parameter model to do anything,

0:36:07.840 --> 0:36:12.040
<v Speaker 14>and everything we've seen, you know, thirty folds increases in

0:36:13.239 --> 0:36:18.160
<v Speaker 14>capacity just by using smaller models, but also lowering the

0:36:18.200 --> 0:36:20.719
<v Speaker 14>costs and increasing the efficiency of that as well. So

0:36:20.760 --> 0:36:23.319
<v Speaker 14>I think if your intentional across the entire stack of it,

0:36:23.600 --> 0:36:25.960
<v Speaker 14>we can all be much more responsible on how we're

0:36:25.960 --> 0:36:28.520
<v Speaker 14>thinking about the use of AI. For sure, it's a concern.

0:36:28.560 --> 0:36:30.440
<v Speaker 14>We need to be intentional about it, and I'm hoping

0:36:30.440 --> 0:36:32.719
<v Speaker 14>that you know, increasingly, as we're working through with our

0:36:32.760 --> 0:36:36.680
<v Speaker 14>partners and educating more broadly, that the average user will

0:36:36.719 --> 0:36:37.560
<v Speaker 14>also as well.

0:36:37.719 --> 0:36:41.600
<v Speaker 9>Hey, you're done in Miami at the Future Investment Initiative Institute.

0:36:41.719 --> 0:36:47.320
<v Speaker 9>Some big names there, including you, in addition Saffercats at Oracle,

0:36:47.920 --> 0:36:52.600
<v Speaker 9>Eric Schmidt of Alphabet and Google fame, Robert Smith, Stephen Ross,

0:36:52.880 --> 0:36:57.719
<v Speaker 9>Marcelo Clare, Stephen Cohen, Travis Kalanick formerly of Uber. The

0:36:57.760 --> 0:37:01.920
<v Speaker 9>lift continues the list that happens when I talk about it,

0:37:01.920 --> 0:37:04.719
<v Speaker 9>where sometimes I say lifts, The list just continues to

0:37:04.760 --> 0:37:08.560
<v Speaker 9>go on. What's the vibe there, what's the conversation, what's

0:37:08.600 --> 0:37:09.920
<v Speaker 9>dominating the conversation?

0:37:11.320 --> 0:37:15.520
<v Speaker 14>Number One, incredible excitement about the opportunities to work between

0:37:16.160 --> 0:37:20.680
<v Speaker 14>the world, collaborate. The Saudi Arabian government is just you know,

0:37:20.760 --> 0:37:24.080
<v Speaker 14>investing a ton in how we are collaborating together and

0:37:24.160 --> 0:37:27.399
<v Speaker 14>showing that technology and these partnerships and technology are going

0:37:27.440 --> 0:37:30.080
<v Speaker 14>to make significant impacts on the world in a positive way.

0:37:30.320 --> 0:37:32.480
<v Speaker 14>I would say that's like first and foremost and too.

0:37:32.520 --> 0:37:34.480
<v Speaker 14>I mean that the theme of the conference is invest

0:37:34.640 --> 0:37:37.719
<v Speaker 14>with purpose, the idea of being you know, as you

0:37:37.760 --> 0:37:40.560
<v Speaker 14>mentioned big names in the room, trillions of dollars of

0:37:40.600 --> 0:37:43.279
<v Speaker 14>capital either owned or being managed by these people in

0:37:43.320 --> 0:37:45.440
<v Speaker 14>one room, and the idea is, how do we make

0:37:45.440 --> 0:37:49.520
<v Speaker 14>sure that we are investing with purpose thinking about the

0:37:49.600 --> 0:37:52.560
<v Speaker 14>impact that we're having, both the consequences as well as positive.

0:37:52.640 --> 0:37:54.799
<v Speaker 4>Christina has to just jump in because here you have,

0:37:55.120 --> 0:37:58.440
<v Speaker 4>you know, a day where city scraps diversity goals DEI

0:37:58.520 --> 0:38:02.560
<v Speaker 4>term under a Trump pressure, pressure from the White House,

0:38:02.840 --> 0:38:05.359
<v Speaker 4>they came out and said that earlier today PEPSI pulled

0:38:05.440 --> 0:38:08.400
<v Speaker 4>back on DEI programs. I feel like there's a rethink

0:38:08.440 --> 0:38:13.239
<v Speaker 4>too about maybe concerns about climate change. What confidence do

0:38:13.360 --> 0:38:16.760
<v Speaker 4>you have that the build out to meet the demand

0:38:16.920 --> 0:38:19.359
<v Speaker 4>is done in a purposeful way and maybe a careful way,

0:38:19.480 --> 0:38:21.360
<v Speaker 4>certainly when it comes to impact on the environment. And

0:38:21.400 --> 0:38:23.120
<v Speaker 4>we've just got about thirty seconds here.

0:38:23.480 --> 0:38:25.000
<v Speaker 14>Sure, Look, I can't speak to what all the other

0:38:25.040 --> 0:38:27.359
<v Speaker 14>companies are doing. For us, it's still about long term

0:38:27.440 --> 0:38:29.640
<v Speaker 14>value creation for our clients and our partners. I know

0:38:29.719 --> 0:38:31.600
<v Speaker 14>that I've met with many people here who feel the

0:38:31.640 --> 0:38:34.560
<v Speaker 14>same way, and so we'll continue to do that. And

0:38:34.800 --> 0:38:37.279
<v Speaker 14>you know, whether or not it's using certain categories of

0:38:37.320 --> 0:38:38.719
<v Speaker 14>words or not, at the end of the day, it's

0:38:38.719 --> 0:38:40.759
<v Speaker 14>about the outcomes of what we can drive and how

0:38:40.760 --> 0:38:42.120
<v Speaker 14>we can make sure that we're doing that in the

0:38:42.120 --> 0:38:44.920
<v Speaker 14>most responsible and ethical way, and so that's what we

0:38:44.960 --> 0:38:45.480
<v Speaker 14>will contain it.

0:38:45.920 --> 0:38:49.560
<v Speaker 4>So the value creation continues to include whether it's diversity

0:38:49.840 --> 0:38:53.600
<v Speaker 4>or making sure that the impact on the environment is minimal.

0:38:53.880 --> 0:38:56.799
<v Speaker 5>Are still sustainable? Is that fair? That's fair?

0:38:56.840 --> 0:38:58.560
<v Speaker 14>And I would say even more than that, it's not

0:38:58.640 --> 0:38:59.239
<v Speaker 14>one or the other.

0:38:59.520 --> 0:38:59.719
<v Speaker 3>Right.

0:39:00.040 --> 0:39:01.560
<v Speaker 14>One of the main things that I say is that

0:39:01.600 --> 0:39:04.799
<v Speaker 14>sustasability is as much of a business driver as anything else.

0:39:04.840 --> 0:39:06.399
<v Speaker 14>It's not one or the other. And I think that's

0:39:06.440 --> 0:39:07.239
<v Speaker 14>critical as part of this.

0:39:07.400 --> 0:39:10.320
<v Speaker 5>Christina, thank you so much, appreciate it. This is Bloomberg.

0:39:15.280 --> 0:39:17.279
<v Speaker 4>Macle I'll bet you let me drive.

0:39:17.520 --> 0:39:23.040
<v Speaker 9>Oh no, no, no, no, this is not a twenty Okay, please.

0:39:24.600 --> 0:39:25.080
<v Speaker 2>Excuse me.

0:39:25.440 --> 0:39:26.200
<v Speaker 4>I want to drive.

0:39:26.200 --> 0:39:35.600
<v Speaker 9>It's a question. This is the drive to the clothes.

0:39:35.560 --> 0:39:36.359
<v Speaker 3>Pungs for me a thing.

0:39:36.480 --> 0:39:39.600
<v Speaker 2>Well, drill don on Bloomberg Radio.

0:39:41.120 --> 0:39:43.600
<v Speaker 5>Is it that time, Carol, Oh, TikTok. Yeah, that's when

0:39:43.600 --> 0:39:45.680
<v Speaker 5>I usually do that. Sorry, I'm a little off today.

0:39:46.200 --> 0:39:48.040
<v Speaker 9>No, I don't think so. I'm off.

0:39:48.719 --> 0:39:51.680
<v Speaker 5>All right, today's your day to be up. I'm on

0:39:51.800 --> 0:39:55.239
<v Speaker 5>so TikTok. Everybody better, you better be on eighteen minutes ago.

0:39:55.239 --> 0:39:55.960
<v Speaker 5>And do we wrap up the.

0:39:55.960 --> 0:39:57.600
<v Speaker 9>Train on the s and everything.

0:39:58.320 --> 0:40:01.560
<v Speaker 4>Yeah, it is time for the drive to the clothes folks.

0:40:01.560 --> 0:40:02.879
<v Speaker 4>We want to get right to it because we love

0:40:02.920 --> 0:40:05.759
<v Speaker 4>talking to Brian Kelly, Chief investment Officer portfolio manager over

0:40:05.760 --> 0:40:09.280
<v Speaker 4>at Hennessy Funds. He co manages the Hennessy Cornerstone MidCap

0:40:09.320 --> 0:40:12.560
<v Speaker 4>thirty fund. It has returned on average nearly twenty two

0:40:12.600 --> 0:40:16.040
<v Speaker 4>percent annually, putting the fund in the ninety ninth percentile

0:40:16.080 --> 0:40:18.880
<v Speaker 4>against those in the sector, beating pretty much just about

0:40:18.880 --> 0:40:21.600
<v Speaker 4>everyone in that group. That's according to our own data

0:40:21.600 --> 0:40:22.240
<v Speaker 4>here at Bloomberg.

0:40:22.320 --> 0:40:25.240
<v Speaker 9>He joins us from Chapel Hill, North Carolina. As I'm

0:40:25.520 --> 0:40:29.560
<v Speaker 9>reading this along with Carol, Ryan, I'm wondering if that's

0:40:29.719 --> 0:40:32.080
<v Speaker 9>if it's tough act to kind of follow performance such

0:40:32.080 --> 0:40:35.239
<v Speaker 9>as that, like no pressure. Yeah, kind of a little

0:40:35.239 --> 0:40:36.160
<v Speaker 9>bit of pressure, right.

0:40:37.200 --> 0:40:41.279
<v Speaker 15>Oh, absolutely, no pressure at all. No, actually, there is

0:40:41.360 --> 0:40:43.200
<v Speaker 15>not a whole lot of pressure. I'll tell you why

0:40:44.040 --> 0:40:46.799
<v Speaker 15>this fund was conceived in two thousand and three.

0:40:47.840 --> 0:40:49.640
<v Speaker 3>The formula that it uses.

0:40:49.360 --> 0:40:52.160
<v Speaker 15>Is actually the exact same today as it was back then.

0:40:52.680 --> 0:40:56.440
<v Speaker 15>This is a fundamental quant type formula. Now don't think

0:40:56.440 --> 0:40:59.560
<v Speaker 15>of it as quantitative as in AI. Just like all

0:40:59.560 --> 0:41:01.640
<v Speaker 15>that you were taught about a moment ago. We're not

0:41:01.680 --> 0:41:03.960
<v Speaker 15>going to need data centers galore for this type of

0:41:04.239 --> 0:41:08.760
<v Speaker 15>investing strategy. But it is a formula, and it sticks

0:41:08.800 --> 0:41:11.279
<v Speaker 15>to the exact same thing year in and year out.

0:41:11.760 --> 0:41:13.600
<v Speaker 15>And we do, of course have some years in which

0:41:13.640 --> 0:41:16.440
<v Speaker 15>we're down. We're actually lagging a little bit this year already,

0:41:16.840 --> 0:41:20.160
<v Speaker 15>But overall the entire history of the fund, yes, it's

0:41:20.200 --> 0:41:22.600
<v Speaker 15>done very well. So it actually does take a little

0:41:22.600 --> 0:41:25.000
<v Speaker 15>bit of the pressure off. Just knowing that you can

0:41:25.040 --> 0:41:27.239
<v Speaker 15>take some of the emotion out of investing. You can

0:41:27.280 --> 0:41:29.560
<v Speaker 15>stick to your formula, you can stick to your guns

0:41:29.880 --> 0:41:31.680
<v Speaker 15>even when it seems like it might not be working.

0:41:31.840 --> 0:41:34.839
<v Speaker 15>Or sometimes when you know a stock you own has

0:41:34.880 --> 0:41:37.720
<v Speaker 15>gone up at one point it was up eight hundred percent,

0:41:37.719 --> 0:41:39.160
<v Speaker 15>and you think, well, maybe I should get rid of it.

0:41:39.200 --> 0:41:40.920
<v Speaker 3>Well, there was still some more upside in that.

0:41:41.120 --> 0:41:44.440
<v Speaker 15>So this is really a formula based fund, and it

0:41:44.520 --> 0:41:46.080
<v Speaker 15>kind of makes it a little easier to run.

0:41:47.160 --> 0:41:50.480
<v Speaker 9>So let's talk about the formula. What's the secret sauce,

0:41:51.000 --> 0:41:52.319
<v Speaker 9>what's the quant method here?

0:41:53.360 --> 0:41:57.320
<v Speaker 15>Absolutely, the secret sauce, first of all, is actually published

0:41:57.320 --> 0:41:59.760
<v Speaker 15>on our website. It's on our fact sheets and our perspectus,

0:41:59.800 --> 0:42:02.839
<v Speaker 15>it's everywhere. The idea is that we want to give

0:42:02.840 --> 0:42:06.920
<v Speaker 15>investors a really great portfolio of about thirty companies in

0:42:06.960 --> 0:42:09.919
<v Speaker 15>the MidCap space. Now we define MidCap is between one

0:42:09.920 --> 0:42:13.120
<v Speaker 15>and ten billion. We're then looking for three main things.

0:42:13.160 --> 0:42:17.640
<v Speaker 15>We're looking for earnings growth, we're looking for valuations, and

0:42:17.640 --> 0:42:21.080
<v Speaker 15>we're looking for momentum. So we pick stocks that are

0:42:21.120 --> 0:42:24.400
<v Speaker 15>below one and a half times priced to sales. We

0:42:24.440 --> 0:42:27.600
<v Speaker 15>want earnings growth on a year over year basis, and

0:42:27.640 --> 0:42:31.920
<v Speaker 15>we want momentum three and six month price appreciation.

0:42:32.640 --> 0:42:34.200
<v Speaker 3>And then what we do is we take that.

0:42:34.320 --> 0:42:37.040
<v Speaker 15>Entire portfolio whatever's left over, and sometimes there's about one

0:42:37.120 --> 0:42:39.560
<v Speaker 15>hundred and fifty companies if you look at the entire space,

0:42:40.280 --> 0:42:43.080
<v Speaker 15>and we rank them by their best one year performance,

0:42:43.239 --> 0:42:46.600
<v Speaker 15>and the top thirty enter the fund. Now, a couple

0:42:46.600 --> 0:42:49.160
<v Speaker 15>of little nuances that I think really help the fund

0:42:50.239 --> 0:42:53.000
<v Speaker 15>is that we pick these thirty stocks. They go into

0:42:53.040 --> 0:42:55.719
<v Speaker 15>the fund at about three point three percent each, but

0:42:55.840 --> 0:42:58.040
<v Speaker 15>along the way, we only do this once a year.

0:42:58.680 --> 0:43:02.440
<v Speaker 15>We let them run, so we end up reinvesting more

0:43:02.560 --> 0:43:05.879
<v Speaker 15>into stocks that are doing well and investing less into

0:43:05.880 --> 0:43:07.160
<v Speaker 15>stocks that aren't doing so well.

0:43:07.600 --> 0:43:10.480
<v Speaker 4>And I know, the last time we talked to you

0:43:10.640 --> 0:43:14.040
<v Speaker 4>with I think was in November, you guys had done

0:43:14.400 --> 0:43:17.680
<v Speaker 4>kind of the reboot and the rebalance and only two

0:43:17.840 --> 0:43:20.360
<v Speaker 4>stayed in that portfolio of thirty.

0:43:20.400 --> 0:43:24.080
<v Speaker 15>Is that correct, that's correct, yes, yep, yeah, that was

0:43:24.120 --> 0:43:26.120
<v Speaker 15>the last time. And that's kind of typical of what

0:43:26.160 --> 0:43:29.480
<v Speaker 15>the fund does. There's about, you know, a ninety percent

0:43:29.560 --> 0:43:33.040
<v Speaker 15>turnover every year each year, and I think the reason

0:43:33.239 --> 0:43:36.719
<v Speaker 15>is is that you get stocks that have had better

0:43:36.800 --> 0:43:40.120
<v Speaker 15>momentum over the current year versus the last year, and

0:43:40.160 --> 0:43:42.160
<v Speaker 15>that kind of makes a lot of them fall out,

0:43:42.360 --> 0:43:45.920
<v Speaker 15>but we end up, you know, keeping whatever still stays

0:43:45.920 --> 0:43:48.560
<v Speaker 15>in makes the cut, and then we put new ones

0:43:48.560 --> 0:43:49.040
<v Speaker 15>in as well.

0:43:49.080 --> 0:43:50.319
<v Speaker 3>But at the end of the day, we end up

0:43:50.360 --> 0:43:54.040
<v Speaker 3>with thirty stocks, all equally weighted at about three point

0:43:54.080 --> 0:43:55.839
<v Speaker 3>three percent, and then let them go from there.

0:43:55.920 --> 0:43:57.279
<v Speaker 4>I got to ask you. So, which were the two

0:43:57.280 --> 0:43:58.640
<v Speaker 4>that stuck around? I can't remember.

0:44:00.960 --> 0:44:03.759
<v Speaker 3>That is a good question. I can pick that up.

0:44:04.239 --> 0:44:07.400
<v Speaker 15>Oh it was m Core one of them, and I

0:44:07.520 --> 0:44:08.719
<v Speaker 15>need to figure out the other one.

0:44:08.760 --> 0:44:11.680
<v Speaker 9>Okay, that's that's it called a Carol Master pop quiz.

0:44:12.120 --> 0:44:15.000
<v Speaker 3>Sorry, there a couple.

0:44:15.080 --> 0:44:19.920
<v Speaker 9>You know. It's interesting now in terms of the top holdings, Peloton, Alaska, Brinker,

0:44:19.920 --> 0:44:23.160
<v Speaker 9>and Newell Brands. Newell's been struggling this year, so that's

0:44:23.160 --> 0:44:25.439
<v Speaker 9>an interesting one to see. But Peloton, let's start there.

0:44:25.640 --> 0:44:27.760
<v Speaker 9>How did Peloton end up as the top holding?

0:44:29.480 --> 0:44:32.600
<v Speaker 15>Again, this was a situation where when we did the rebalance,

0:44:32.600 --> 0:44:36.280
<v Speaker 15>and this was back in November of last year, Peloton

0:44:36.360 --> 0:44:38.360
<v Speaker 15>came into the portfolio at a three point three percent

0:44:38.400 --> 0:44:41.960
<v Speaker 15>position as well, we bought it all it around to

0:44:42.160 --> 0:44:46.000
<v Speaker 15>say five and a half six dollars range. This rebalance

0:44:46.040 --> 0:44:48.360
<v Speaker 15>we talked about usually takes about two to three weeks,

0:44:48.840 --> 0:44:51.840
<v Speaker 15>and the stock has surged since. Certainly there's been some

0:44:52.400 --> 0:44:54.400
<v Speaker 15>ups and downs a little more volatile than some of

0:44:54.440 --> 0:44:56.560
<v Speaker 15>the stocks we have in there, but that's why it's

0:44:56.600 --> 0:44:59.960
<v Speaker 15>now the largest position. It's had a really nice start

0:45:00.160 --> 0:45:02.640
<v Speaker 15>this year until today. You know, it's down a lot today,

0:45:02.960 --> 0:45:05.520
<v Speaker 15>but the point is it was trading at below one

0:45:05.520 --> 0:45:08.400
<v Speaker 15>and a half times priced to sales. It really was

0:45:08.480 --> 0:45:10.680
<v Speaker 15>kind of out of favor. Yet it had some good

0:45:10.719 --> 0:45:14.200
<v Speaker 15>momentum behind it, just enough to make the portfolio. And

0:45:14.480 --> 0:45:18.480
<v Speaker 15>since that time it's it's up about seventy percent from

0:45:18.520 --> 0:45:19.400
<v Speaker 15>our entry price.

0:45:19.800 --> 0:45:21.759
<v Speaker 4>Well, and another one that you got is have the

0:45:21.920 --> 0:45:25.280
<v Speaker 4>in the portfolio Brinker International, which is already up about

0:45:25.600 --> 0:45:29.440
<v Speaker 4>seventeen percent so far this year. They own Chilis and

0:45:29.520 --> 0:45:33.280
<v Speaker 4>a few other chains, so that one's in the portfolio

0:45:33.360 --> 0:45:33.719
<v Speaker 4>as well.

0:45:34.760 --> 0:45:38.360
<v Speaker 15>Absolutely, you know, And that's another one. It's a typical

0:45:38.360 --> 0:45:41.719
<v Speaker 15>type of investment that we find. These are companies that

0:45:42.640 --> 0:45:45.239
<v Speaker 15>have been around for a while, they have good products.

0:45:45.480 --> 0:45:49.000
<v Speaker 15>Chili's has done they own Chili's, Brinker does. They've done

0:45:49.000 --> 0:45:52.160
<v Speaker 15>a great job of refocusing on their brand, sort of

0:45:53.200 --> 0:45:59.200
<v Speaker 15>simplifying their menu, bringing customers back, and it's worked. And

0:45:59.480 --> 0:46:03.840
<v Speaker 15>this type of investing, I would say, for various reasons

0:46:03.840 --> 0:46:06.680
<v Speaker 15>in how the portfolio, how the actual metrics work together,

0:46:07.320 --> 0:46:10.719
<v Speaker 15>ends up finding stocks that are kind of turnaround stories.

0:46:11.239 --> 0:46:12.960
<v Speaker 15>We're not going to be the smartest guys in the room.

0:46:13.000 --> 0:46:15.320
<v Speaker 15>We're not going to buy things before they turned because

0:46:15.360 --> 0:46:18.320
<v Speaker 15>we want that momentum already to happen, but it's happened

0:46:18.360 --> 0:46:20.560
<v Speaker 15>again and again. And a good example of that is

0:46:20.600 --> 0:46:24.160
<v Speaker 15>that and you can be sectors as well as individual stocks.

0:46:25.080 --> 0:46:28.279
<v Speaker 15>Energy about you know, four or five years ago, when

0:46:28.360 --> 0:46:31.240
<v Speaker 15>energy was trading at forty, when oil was trading.

0:46:31.000 --> 0:46:33.880
<v Speaker 3>At forty dollars a barrel. A lot of those.

0:46:33.719 --> 0:46:36.799
<v Speaker 15>Companies were, of course not making a lot of money

0:46:36.840 --> 0:46:39.160
<v Speaker 15>at that point, but they still had a pretty low

0:46:39.200 --> 0:46:42.080
<v Speaker 15>price to sales. And we at one point owned about

0:46:42.120 --> 0:46:46.560
<v Speaker 15>thirty percent of the fund in energy stocks. Energy swored

0:46:47.120 --> 0:46:50.359
<v Speaker 15>oil prices hit almost one hundred and twenty at one

0:46:50.360 --> 0:46:53.600
<v Speaker 15>point and then settled in around eighty or ninety, and

0:46:53.680 --> 0:46:55.640
<v Speaker 15>that ended up being a really really good part of

0:46:55.680 --> 0:46:59.120
<v Speaker 15>the fund. And it was an example of how an

0:46:59.239 --> 0:47:02.719
<v Speaker 15>entire sector might be out of favor, an entire you know,

0:47:02.800 --> 0:47:05.879
<v Speaker 15>different individual companies could be out of favor, and we'll

0:47:05.920 --> 0:47:07.720
<v Speaker 15>see them as a turnaround story in the fund.

0:47:07.840 --> 0:47:10.720
<v Speaker 4>Yeah, bring our International up two hundred and six percent

0:47:10.960 --> 0:47:13.600
<v Speaker 4>last year, up thirty five percent twenty twenty three, but

0:47:13.680 --> 0:47:17.040
<v Speaker 4>still coming up. As you said, you look at earnings, growth, valuation,

0:47:17.239 --> 0:47:19.840
<v Speaker 4>and momentum in the fun pretty.

0:47:19.560 --> 0:47:21.000
<v Speaker 9>Cool stuff baby back ribs.

0:47:22.440 --> 0:47:25.080
<v Speaker 4>Did you have to see that there, babyback, isn't it

0:47:26.400 --> 0:47:28.839
<v Speaker 4>Ryan Kelly. We do love getting time with you. Thank

0:47:28.880 --> 0:47:31.000
<v Speaker 4>you so much for stopping by Ryan Kelly, Chief Investment

0:47:31.040 --> 0:47:35.000
<v Speaker 4>Officer Portfolio manager at Tennessee Funds. Out there in Chapel Hill,

0:47:35.280 --> 0:47:38.200
<v Speaker 4>New North Carolina, Chapel Hill, North Carolina.

0:47:37.800 --> 0:47:39.400
<v Speaker 9>Which is kind of cold behind them?

0:47:39.520 --> 0:47:40.120
<v Speaker 5>Is it cold there?

0:47:40.160 --> 0:47:42.759
<v Speaker 9>Looks a little cold, looks a little looks a little cold.

0:47:43.800 --> 0:47:48.640
<v Speaker 2>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

0:47:48.760 --> 0:47:52.480
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0:47:52.520 --> 0:47:56.560
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0:47:56.560 --> 0:48:00.439
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0:48:00.719 --> 0:48:03.520
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0:48:03.680 --> 0:48:05.840
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