WEBVTT - Trump Tariffs Spark Quick Retaliation 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>Ale Steeler alongside Paul Sweeney. This is Bloomberg in Best

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<v Speaker 2>twenty twenty five. We are down here at the New

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<v Speaker 2>York Financial District. This is where all the big names

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<v Speaker 2>in finance, banking, asset managers, private credit, private equity all

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<v Speaker 2>come together and talk about the way forward. And part

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<v Speaker 2>of that way forward is the policy that's going to

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<v Speaker 2>come out of Washington, d C and any more insight.

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<v Speaker 2>We'll get on that on tonight's State of the Union

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<v Speaker 2>with President Trump. So we want to go to DC

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<v Speaker 2>with Nathan Dean. He's Bloomberg Intelligence senior policy analyst. Nathan.

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<v Speaker 2>There's so much to unpack here, but markets are down,

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<v Speaker 2>trade wars on does President Trump we'll get a stock

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<v Speaker 2>market today?

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<v Speaker 3>No, I don't think so.

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<v Speaker 4>I mean I think President Trump this is a long

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<v Speaker 4>term message from the White House in terms of these tariffs.

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<v Speaker 4>You know, look, you know President Trump has been saying

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<v Speaker 4>for months the tariffs are his favorite word or maybe

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<v Speaker 4>his fourth favorite word, depending on when he talks about it.

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<v Speaker 4>But you know, and I think this was anticipated. I

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<v Speaker 4>mean everybody was thinking, you know, is he going to

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<v Speaker 4>do this? Is he not going to do this? But

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<v Speaker 4>tariff's were going to come. It was just a matter

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<v Speaker 4>of the size and the scope. Now, look, President Trump negotiates,

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<v Speaker 4>That's what he does. There's always going to be a negotiation.

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<v Speaker 4>But the response that we have seen from Ottawa and

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<v Speaker 4>Mexico City today suggests that those negotiations are going to

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<v Speaker 4>be taking place right away.

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<v Speaker 3>This is going to need some time to cook.

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<v Speaker 4>So I think what you're going to see tonight in

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<v Speaker 4>this joint address to Congress is you're going to see

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<v Speaker 4>President Trump double down on this idea of tariffs, an

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<v Speaker 4>idea of bringing back manufacturing jobs to the United States.

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<v Speaker 4>His true social posts about farmers growing stuff in the

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<v Speaker 4>United States to sell in the United States. That's the

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<v Speaker 4>message to which you're going to hear tonight. Wall Street

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<v Speaker 4>probably isn't going to like that, but I don't think

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<v Speaker 4>you're going to see any reaction from the White House

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<v Speaker 4>in terms of Wall Street.

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<v Speaker 3>A couple of weeks at the earliest.

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<v Speaker 5>So, Nathan, what is the feeling in a d C

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<v Speaker 5>amongst you know, Congress, just the system, theocracy about where

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<v Speaker 5>this is all going here.

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<v Speaker 4>Yeah, so there's gonna be a lot of uneasy, especially

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<v Speaker 4>amongst the Republicans in terms of these tariffs.

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<v Speaker 3>You know, Senator Rampaul even just tweeted two.

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<v Speaker 4>Hours ago that look, tariffs are going to increase prices,

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<v Speaker 4>and he cited automobiles that you know, auto prices are

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<v Speaker 4>going to go up as a result of these tariffs.

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<v Speaker 4>Senator Grassley from Iowa, he's gonna have any problem this

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<v Speaker 4>this tonight as well, because, as President Trump says in

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<v Speaker 4>the speech, look what I did in terms of the tariffs,

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<v Speaker 4>will China put retialitary tariffs on soybeans? And there's a

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<v Speaker 4>lot of soybeans that go to China from the United States.

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<v Speaker 3>So I think what's going to happen is over the

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<v Speaker 3>next few days. In terms of this.

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<v Speaker 4>Republican response is they're going to wait and wait to

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<v Speaker 4>see what happens.

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<v Speaker 3>Now.

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<v Speaker 4>Target is best and Best Buy have already said the

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<v Speaker 4>price increases are probably going to be coming in the

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<v Speaker 4>next few days. Is this enough to get President Trump

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<v Speaker 4>to change his mind.

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<v Speaker 3>Probably not.

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<v Speaker 4>But as these farmers talk to folks like Senator Grassley,

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<v Speaker 4>they're going to be saying, look, soybeans are down, we don't.

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<v Speaker 3>Have a place to sell. So if you're not going

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<v Speaker 3>to give us a tariff relief.

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<v Speaker 4>Then you have to give us subsidies via a farm

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<v Speaker 4>bill package. So there's a lot of unease negotiations here

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<v Speaker 4>to be taking place between Congress and the White House

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<v Speaker 4>over this tariff policy.

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<v Speaker 2>Which is what we heard from Justin Trudeau of Canada

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<v Speaker 2>saying we're going to support businesses that are going to

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<v Speaker 2>be hit by these tariffs when he was speaking earlier today.

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<v Speaker 2>So this all comes ahead of the State of the Union. Nathan,

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<v Speaker 2>what's going to be say the top one or two

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<v Speaker 2>things that you need to hear to help I don't know,

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<v Speaker 2>make a policy decision, have conviction on where we're headed.

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<v Speaker 4>Yeah, So when it comes to tariffs in particular, I'm

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<v Speaker 4>not exactly sure what President like, Look, we're going to

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<v Speaker 4>be seeing if there's any nuggets that President Trump says

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<v Speaker 4>in this speech that Canada and Mexico can come back with.

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<v Speaker 4>Now President Trump has always said this is about fentanyl.

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<v Speaker 4>You know, I'm not exactly sure if I believe that

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<v Speaker 4>the reason being is is that, you know, the Canada

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<v Speaker 4>and Mexico agreement from one month ago, ten thousand troops

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<v Speaker 4>on the border and so forth. Prime Minister Trudeau even

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<v Speaker 4>just said this morning that.

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<v Speaker 3>They've done that.

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<v Speaker 4>What I need to see from President Trump is this

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<v Speaker 4>idea of is there any way that we could scale

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<v Speaker 4>down the Canada and Mexico tariffs, Because if you remember

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<v Speaker 4>over the weekend, Howard luck Nick was saying that potentially

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<v Speaker 4>there's some flexibility here, and so I'm looking to see

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<v Speaker 4>if there's any additional statements that he says that Mexico

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<v Speaker 4>and Canada can do. But I also remind folks that

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<v Speaker 4>on April second, we have reciprocal tariffs. So if President

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<v Speaker 4>Trump double downs and says, look, reciprocal tariffs are coming,

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<v Speaker 4>I don't think you're going to see much of the

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<v Speaker 4>way of this trade war ending anytime soon. The other

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<v Speaker 4>thing that I think investors should pay attention to tonight

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<v Speaker 4>is this tax reform debate, because President Trump has said

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<v Speaker 4>certain things like, look, I don't want I want to

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<v Speaker 4>make these four point five trillion dollars in tax cuts permanent.

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<v Speaker 3>But at the same time, I don't want to touch

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<v Speaker 3>medicaid spending.

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<v Speaker 4>So I want to see direction from President Trump towards

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<v Speaker 4>Congress and specifically those House Republicans, to see if he's

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<v Speaker 4>going to put any leverage on them to support his

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<v Speaker 4>goals there.

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<v Speaker 5>So, what is the status of the tax package and

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<v Speaker 5>the various economic packages, because a lot of folks Nathan

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<v Speaker 5>and to telling me this is when the rubber's going

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<v Speaker 5>to hit the road in terms of Democratics responses.

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<v Speaker 4>Yeah, so you know, in terms of this tax passage,

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<v Speaker 4>where we are is the House passed their budget resolution

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<v Speaker 4>last week. Now, this wasn't a bill, this wasn't legislation.

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<v Speaker 4>This was essentially a blueprint. And so what they said

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<v Speaker 4>is here, go forth, and this gave instructions to eight

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<v Speaker 4>House committees to go forth and look for two trillion

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<v Speaker 4>dollars worth of tax or two trillion dollars worth of

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<v Speaker 4>deficit reductions to offset the four point five trillion and

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<v Speaker 4>the tax cuts are going to cost. Now, there's economic growth,

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<v Speaker 4>there's tariff money, and all of it should come approximately close.

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<v Speaker 4>The challenge is is that even though the House says

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<v Speaker 4>that they want to get something done in April, if

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<v Speaker 4>not May, the challenge is how are you going to

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<v Speaker 4>pay for this and how are you going to get

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<v Speaker 4>the entire caucus on CREED Because if you cut Medicaid,

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<v Speaker 4>you've already lost several constituencies. If you increase the deficit,

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<v Speaker 4>you lost others. So, you know, Speaker Johnson has this

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<v Speaker 4>really tricky situation of trying to get everybody on the

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<v Speaker 4>same page. What we're telling our clients is, look, there's

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<v Speaker 4>no deadline here that's going to force the House Republicans

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<v Speaker 4>to come up with a solution until the end of

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<v Speaker 4>the year, So they have all this year to figure

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<v Speaker 4>it out. So we don't think this is going to

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<v Speaker 4>happen until the fourth quarter. We do think a package

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<v Speaker 4>will eventually come together. We do think will you know,

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<v Speaker 4>extend these Trump Are tax cuts, But we don't think

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<v Speaker 4>it's going to change the Inflation Reduction Act all that much.

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<v Speaker 4>We probably don't think it's going to change medicate all

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<v Speaker 4>that much, you know. But again, it's hard to come

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<v Speaker 4>up with specifics because they have the rest of the

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<v Speaker 4>year to figure it out. It's just not going to

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<v Speaker 4>happen in the timeframe that they're currently saying it's going to.

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<v Speaker 2>Right and that therein lies the issue for the market.

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<v Speaker 2>So the stuff that's negatively impacting the markets, like tariffs,

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<v Speaker 2>Trump can do on his own and have an immediate effect.

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<v Speaker 2>But the stuff you're talking about, like tax cuts that

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<v Speaker 2>can have a stimulati effect on the markets can't be

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<v Speaker 2>just done by President Trump, has to be done by Congress.

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<v Speaker 2>So the longer that gap is, you have to wonder

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<v Speaker 2>if it's going to be harder for the markets to digest.

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<v Speaker 3>Yeah, absolutely so.

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<v Speaker 4>If you think about twenty twenty five and think about catalysts,

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<v Speaker 4>key things that are happening, you know, right now we're

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<v Speaker 4>going through the tree. The trade war is probably the

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<v Speaker 4>most important thing that's to the markets at this point

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<v Speaker 4>because look, we're seeing it in real time. You know,

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<v Speaker 4>we're seeing companies saying prices are going to go up.

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<v Speaker 4>We're seeing the peso and the Canadian dollar go down.

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<v Speaker 4>But then if you get longer term, we have you know,

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<v Speaker 4>we have a government shutdown coming up March fourteenth, very

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<v Speaker 4>little impact in markets. In fact, every single time this happens,

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<v Speaker 4>we put out notes essentially saying there's no market impact

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<v Speaker 4>from a government shutdown. Next after that you have the

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<v Speaker 4>debt ceiling. This is probably June July you know, obviously,

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<v Speaker 4>if you're on the fixed income side, you care very

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<v Speaker 4>much about the debt ceiling. We think there's an eighty

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<v Speaker 4>percent chance that debt ceiling is resolved with so weekend.

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<v Speaker 4>Don't think it a lot of headline risk. We don't

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<v Speaker 4>think there's really all that much to be concerned about.

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<v Speaker 4>But then the next one is this tax reform debate

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<v Speaker 4>that takes place towards the end of this year.

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<v Speaker 3>So this terrify argument in terms of market angst.

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<v Speaker 4>This is going to continue throughout the year because ultimately

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<v Speaker 4>it's President Trump's decision on when in this trade war ends,

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<v Speaker 4>and so there's a lot of uncertain certainties that are

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<v Speaker 4>coming out from Washington right now.

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<v Speaker 6>All Rightandean, thank you so much. We appreciate that.

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<v Speaker 5>Nathan Dean, a Bloomberg Intelligence Senior policy analyst.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 5>We're at the Bloomberg invest Conference twenty twenty five. Are

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<v Speaker 5>down there Lower Manhattan World Financial Center now known as

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<v Speaker 5>Brookfield Place. Lots of smart people at this conference giving

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<v Speaker 5>us the latest thoughts on what's going on in the

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<v Speaker 5>world of global finance, including our next guest, Robert Rubin,

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<v Speaker 5>senior counselor at Center View Partners send me to the

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<v Speaker 5>US Secretary of the Treasury and also former a senior

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<v Speaker 5>partner at Goldman Sachs.

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<v Speaker 6>Bob, thanks so much for joining us here.

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<v Speaker 5>There's a million topics we could go with you, but

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<v Speaker 5>for better or worse, Bob, I think today is going

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<v Speaker 5>to be known as tariff Tuesday when the tariffs hit.

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<v Speaker 5>Financial markets are really waking up over the last several

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<v Speaker 5>days and weeks about what this could mean for our

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<v Speaker 5>economy in terms of growth.

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<v Speaker 6>In terms of inflation.

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<v Speaker 5>How do you think about tariffs in general and maybe

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<v Speaker 5>how they're being used by this administration.

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<v Speaker 7>Yeah, I think I think terriffs are exactly what you

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<v Speaker 7>just said. I think they create a very serious risk

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<v Speaker 7>of inflation, not only because prices of imported good will

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<v Speaker 7>be higher, but domestic producers will be able to raise

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<v Speaker 7>prices because their competitive prices will be higher. But also

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<v Speaker 7>I think it's a substantial threat to growth because it

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<v Speaker 7>can adversely affect productivity since you can no longer have

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<v Speaker 7>access to whatever is the most efficient producer of good

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<v Speaker 7>and services. And as you can see from today's papers,

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<v Speaker 7>there's a very serious risk of retaliation, you know. More

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<v Speaker 7>broadly though, and that's a serious set of risks right.

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<v Speaker 7>More broadly, I think there's the risk of a trade war,

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<v Speaker 7>and trade war could be tremendously against ours. This whole

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<v Speaker 7>thing is against our self interest. And there's one more

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<v Speaker 7>aspect to it though that unfortunately has not gotten much

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<v Speaker 7>front focus. But should we have treaty agreements with Maganada

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<v Speaker 7>and Mexico. We are now violating our commitments, our treaties,

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<v Speaker 7>and what is that going to do to our credibility

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<v Speaker 7>around the world, not only expect economic issues, but geopolitical interest.

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<v Speaker 7>This is massively against our self interests.

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<v Speaker 2>At the heart of what the trub administration is trying

0:10:02.520 --> 0:10:06.839
<v Speaker 2>to do economically is pivot from fiscally funded economy to

0:10:06.920 --> 0:10:10.240
<v Speaker 2>a privately funded economy, right at the heart. No, you

0:10:10.280 --> 0:10:11.160
<v Speaker 2>don't think that's true.

0:10:11.240 --> 0:10:12.480
<v Speaker 3>I have no idea what they're trying to do.

0:10:13.559 --> 0:10:15.360
<v Speaker 2>There is an argument to be made, sure they know

0:10:15.400 --> 0:10:16.680
<v Speaker 2>what they're trying to but there's an argument to be

0:10:16.720 --> 0:10:19.440
<v Speaker 2>made that that's what they prefer, right, less fiscal stimulus

0:10:19.440 --> 0:10:20.400
<v Speaker 2>and more private investment.

0:10:20.440 --> 0:10:22.400
<v Speaker 7>And that's why Wait now, but wait a second, you

0:10:22.400 --> 0:10:25.440
<v Speaker 7>say less fiscal stimulus. Yes, assuming that they get what

0:10:25.480 --> 0:10:27.880
<v Speaker 7>they want in the reconciliation bill, that is to say,

0:10:28.320 --> 0:10:31.040
<v Speaker 7>they get these large additional tax or the continuation of

0:10:31.040 --> 0:10:33.800
<v Speaker 7>the tax cuts which would otherwise expire this year, that

0:10:33.800 --> 0:10:38.920
<v Speaker 7>will substantially increase our deficits. The projections are that, independently

0:10:38.960 --> 0:10:41.040
<v Speaker 7>of them, deficits going to continue to go up substantially,

0:10:41.080 --> 0:10:43.319
<v Speaker 7>and with them even more so. So I would say

0:10:43.320 --> 0:10:46.920
<v Speaker 7>they're on a fiscally irresponsible and I think very dangerous paths. Well,

0:10:46.960 --> 0:10:50.160
<v Speaker 7>that's a continuation of conditions have been they're making the worse.

0:10:51.080 --> 0:10:55.280
<v Speaker 5>So you mentioned the debt annual deficits. I've been on

0:10:55.280 --> 0:10:57.200
<v Speaker 5>a wall street since nineteen eighty six. That's been a

0:10:57.240 --> 0:10:59.760
<v Speaker 5>story since nineteen eighty six. It's probably well before. That

0:11:00.760 --> 0:11:03.440
<v Speaker 5>is our scenario where we really have to pay attention to.

0:11:03.640 --> 0:11:06.120
<v Speaker 7>Yeah, I think I think we're really I think we've

0:11:06.160 --> 0:11:08.640
<v Speaker 7>been at that point for quite some time. But but

0:11:08.640 --> 0:11:12.960
<v Speaker 7>but the we are about we're in new territory now.

0:11:13.440 --> 0:11:15.680
<v Speaker 7>Roughly speaking, we're at historic highs in terms of the

0:11:15.679 --> 0:11:18.840
<v Speaker 7>debt GDP ratio. The CBO projects that they're going to

0:11:18.840 --> 0:11:20.559
<v Speaker 7>go from the current hundred percent to about one hundred

0:11:20.559 --> 0:11:23.959
<v Speaker 7>and twenty percent ten years from now. But add independent

0:11:23.960 --> 0:11:27.320
<v Speaker 7>analysts by looking at increase or likely increases in defense

0:11:27.360 --> 0:11:29.800
<v Speaker 7>and interest rates, and it's costuil, et cetera. I think

0:11:29.960 --> 0:11:31.480
<v Speaker 7>one hundred and thirty to one hundred and thirty five

0:11:31.520 --> 0:11:34.200
<v Speaker 7>percent is more likely. I think it is enormously dangerous.

0:11:34.240 --> 0:11:37.840
<v Speaker 7>And the policies of this administration, at least as currently projected,

0:11:38.000 --> 0:11:38.959
<v Speaker 7>are going to make that worse.

0:11:39.320 --> 0:11:40.800
<v Speaker 2>So how do we fix it? I mean, Ray Dalio

0:11:40.840 --> 0:11:43.120
<v Speaker 2>said yesterday the debt crisis in three years could look

0:11:43.120 --> 0:11:43.840
<v Speaker 2>like a heart attack.

0:11:43.960 --> 0:11:46.000
<v Speaker 7>Yeah, I saw, I saw raise coment, So I'm not

0:11:46.040 --> 0:11:47.880
<v Speaker 7>sure exactly where he gets that from, but anyway, but

0:11:47.960 --> 0:11:49.800
<v Speaker 7>I think but I think it's sort of conception. At

0:11:49.880 --> 0:11:52.080
<v Speaker 7>least he's right with the heart attack. I'm not sure

0:11:52.080 --> 0:11:54.000
<v Speaker 7>I would use that analogy. I think Taylor and I

0:11:54.040 --> 0:11:56.719
<v Speaker 7>think is more likely than raise will raise are very

0:11:56.760 --> 0:11:58.880
<v Speaker 7>perceptive and stute observation observer.

0:11:59.160 --> 0:11:59.199
<v Speaker 3>No.

0:11:59.360 --> 0:12:02.319
<v Speaker 7>I think more likely is you'll have a higher interest rates,

0:12:02.360 --> 0:12:06.040
<v Speaker 7>You'll have a reduced business confidence, you'll have fewer resources

0:12:06.040 --> 0:12:08.320
<v Speaker 7>for public investment and national security, and that will happen

0:12:08.400 --> 0:12:10.400
<v Speaker 7>over time. The risk is that at some point it

0:12:10.440 --> 0:12:13.120
<v Speaker 7>becomes what Ragios said, which is a fiscal crisis. The

0:12:13.200 --> 0:12:17.880
<v Speaker 7>problem is to deal with this. We can cut some expenses,

0:12:18.120 --> 0:12:19.800
<v Speaker 7>but there's not that much to be cut. As a

0:12:19.840 --> 0:12:22.719
<v Speaker 7>practical matter, it is very limited. Which you predominantly need

0:12:22.760 --> 0:12:26.360
<v Speaker 7>are more revenues, and the politics of that are terrible.

0:12:27.400 --> 0:12:30.320
<v Speaker 7>This administration says the tariffs because the more revenues. Two

0:12:30.360 --> 0:12:33.520
<v Speaker 7>problems there. One is the rift will provide revenues, but

0:12:33.559 --> 0:12:35.760
<v Speaker 7>same time they're going to adversely affect growth most likely,

0:12:35.840 --> 0:12:37.240
<v Speaker 7>and if you look at models, and I have looked

0:12:37.280 --> 0:12:40.320
<v Speaker 7>at models of this, the net effect is very small

0:12:40.600 --> 0:12:44.120
<v Speaker 7>and secondly is highly adverse with respect to growth and inflation.

0:12:44.920 --> 0:12:47.719
<v Speaker 7>And as I said a moment ago, it means a

0:12:47.800 --> 0:12:50.920
<v Speaker 7>violation or that's what we're doing, a violation of treaty obligations,

0:12:50.960 --> 0:12:53.120
<v Speaker 7>which then can affect our credibility around the world, which

0:12:53.160 --> 0:12:55.480
<v Speaker 7>can affect us both that geo politically and economically.

0:12:55.960 --> 0:13:00.400
<v Speaker 5>Another pillar of this administration is immigration, getting a maybe

0:13:00.400 --> 0:13:03.720
<v Speaker 5>a stronger handle on immigration, legal and illegal, maybe even

0:13:03.760 --> 0:13:07.760
<v Speaker 5>deporting some workers back. A lot of economists will say

0:13:07.960 --> 0:13:10.120
<v Speaker 5>that's not good for the economy either. Because these folks

0:13:10.160 --> 0:13:13.080
<v Speaker 5>are working, they're paying their Social Security taxes, they're doing

0:13:13.120 --> 0:13:15.600
<v Speaker 5>jobs that Americans don't do. It's actually additive to the

0:13:15.679 --> 0:13:19.199
<v Speaker 5>economy and keeping inflation down from wage inflation.

0:13:19.559 --> 0:13:20.440
<v Speaker 6>How does that play into it?

0:13:20.440 --> 0:13:22.000
<v Speaker 8>How do you? I think you that exactly right.

0:13:22.080 --> 0:13:23.800
<v Speaker 7>If you look at the numbers over the last few

0:13:23.840 --> 0:13:26.040
<v Speaker 7>years and you look at the growth we've had, which

0:13:26.040 --> 0:13:28.480
<v Speaker 7>has been very good growth, some fair portion of that

0:13:28.600 --> 0:13:31.800
<v Speaker 7>is because of immigration and the increase in the labor force. Furthermore,

0:13:31.840 --> 0:13:34.600
<v Speaker 7>we've been having on the legal immigration side, people of

0:13:34.679 --> 0:13:37.360
<v Speaker 7>all skill levels and a lot of very very highly

0:13:37.400 --> 0:13:40.439
<v Speaker 7>skilled people have come into particular tech, but also across

0:13:40.480 --> 0:13:45.640
<v Speaker 7>our economy. The illegal immigrants are more complicated question. But

0:13:45.720 --> 0:13:47.000
<v Speaker 7>I think what you need to do is you need

0:13:47.000 --> 0:13:49.880
<v Speaker 7>to approach that not from an ideological perspective, which I

0:13:49.880 --> 0:13:52.680
<v Speaker 7>think is what's happening, but rather from an economic perspective

0:13:52.679 --> 0:13:55.400
<v Speaker 7>and decide what, from a cost benefit perspective is in

0:13:55.480 --> 0:13:57.120
<v Speaker 7>our self interest. And the answer to that is going

0:13:57.200 --> 0:14:02.440
<v Speaker 7>to be I think at least a substantial you'll increase

0:14:02.440 --> 0:14:05.440
<v Speaker 7>maybe the wrong word, but a robust policy respect legal immigration,

0:14:05.760 --> 0:14:07.520
<v Speaker 7>and then an approach to those who are illegals who

0:14:07.679 --> 0:14:10.160
<v Speaker 7>hear that it's based on the economic effects of.

0:14:10.080 --> 0:14:10.480
<v Speaker 3>What we do.

0:14:11.400 --> 0:14:13.200
<v Speaker 2>I am judging myself for asking you this question, but

0:14:13.240 --> 0:14:14.600
<v Speaker 2>I feel like I have to because this is what

0:14:14.600 --> 0:14:16.920
<v Speaker 2>people are actually talking about in terms of trun policy,

0:14:16.960 --> 0:14:20.320
<v Speaker 2>and that's the mar A Lago accord idea that potentially

0:14:20.320 --> 0:14:23.320
<v Speaker 2>you'll see, you know, a big deal among major economies

0:14:23.360 --> 0:14:26.000
<v Speaker 2>to address the exchange rate and trade imbalances. You can

0:14:26.080 --> 0:14:28.520
<v Speaker 2>have a trade war and not have a stronger dollar,

0:14:28.600 --> 0:14:31.840
<v Speaker 2>et cetera. Is anything like that something that you are

0:14:31.880 --> 0:14:35.480
<v Speaker 2>listening to talking about, like a Plaza accord a lla

0:14:35.800 --> 0:14:36.440
<v Speaker 2>decades ago.

0:14:36.520 --> 0:14:39.520
<v Speaker 7>Well, a Plasa acord wasn't. It was a very different

0:14:39.520 --> 0:14:41.640
<v Speaker 7>set of circumstances. I'm not sure what they're driving at,

0:14:41.640 --> 0:14:43.400
<v Speaker 7>but whatever it is, I don't think they're going to

0:14:43.520 --> 0:14:44.160
<v Speaker 7>get there this.

0:14:44.120 --> 0:14:44.960
<v Speaker 6>Way, you know.

0:14:45.000 --> 0:14:47.080
<v Speaker 7>Aside from which I think there's a lot of ideology

0:14:47.080 --> 0:14:49.720
<v Speaker 7>about all of this. If you have trade deficits, and

0:14:49.760 --> 0:14:51.800
<v Speaker 7>what's happening is you have an influx of capital and

0:14:51.800 --> 0:14:55.640
<v Speaker 7>then it goes into investment that actually improves growth in

0:14:55.640 --> 0:14:57.520
<v Speaker 7>the United States and is good for US. Now, if

0:14:57.520 --> 0:15:00.040
<v Speaker 7>it goes into consumption, then eventually you build up and

0:15:00.080 --> 0:15:02.280
<v Speaker 7>if course into investment, then you have additional growth and

0:15:02.320 --> 0:15:04.240
<v Speaker 7>you can pay back the debt. If it goes into consumption,

0:15:04.480 --> 0:15:06.000
<v Speaker 7>then you don't have the growth. Then you don't be

0:15:06.040 --> 0:15:08.040
<v Speaker 7>able to pay back in over time. That creates a problem.

0:15:08.360 --> 0:15:09.760
<v Speaker 7>But whatever you want to do, you do not want

0:15:09.800 --> 0:15:12.040
<v Speaker 7>to approach it through tariffs, and you don't want to

0:15:12.040 --> 0:15:17.400
<v Speaker 7>approach it through browbeating other countries or taking taking advantage

0:15:17.440 --> 0:15:19.520
<v Speaker 7>of what is a strong position of our economy.

0:15:19.840 --> 0:15:20.120
<v Speaker 6>You want.

0:15:20.200 --> 0:15:21.480
<v Speaker 7>What you want to do is just want to increase

0:15:21.520 --> 0:15:23.360
<v Speaker 7>productivity in this country and increase savings.

0:15:24.160 --> 0:15:24.560
<v Speaker 6>AI.

0:15:24.680 --> 0:15:26.600
<v Speaker 5>You told us offline that you've been really spending a

0:15:26.640 --> 0:15:28.760
<v Speaker 5>lot of time trying to get educated on AI.

0:15:28.880 --> 0:15:30.960
<v Speaker 6>What is your We've got a full minute here. What

0:15:31.000 --> 0:15:31.760
<v Speaker 6>do you think about it?

0:15:32.040 --> 0:15:33.760
<v Speaker 7>I know i'll give you my views. About a year

0:15:33.760 --> 0:15:35.920
<v Speaker 7>and a half ago I thought to myself, Hey, it

0:15:35.960 --> 0:15:37.720
<v Speaker 7>looks to me like it's going to be really important.

0:15:37.880 --> 0:15:39.280
<v Speaker 7>So about a year and a half ago I started

0:15:39.320 --> 0:15:42.040
<v Speaker 7>taking to tutorial. I go twice a week, an hour

0:15:42.080 --> 0:15:46.440
<v Speaker 7>each time, and I don't profess any expertise in it,

0:15:46.480 --> 0:15:49.080
<v Speaker 7>but I think I've become reasonably conversant with it, and

0:15:49.200 --> 0:15:51.040
<v Speaker 7>I think it's going to change life as we know

0:15:51.120 --> 0:15:55.920
<v Speaker 7>it economically, geopolitically and societally. And I think the I

0:15:56.000 --> 0:15:58.240
<v Speaker 7>don't think we're already for all of the effects it

0:15:58.240 --> 0:15:58.640
<v Speaker 7>can have.

0:15:58.800 --> 0:16:01.120
<v Speaker 2>Oh, what's an AI to tour? What do you is it?

0:16:01.240 --> 0:16:02.920
<v Speaker 2>Some guy at your desk like going.

0:16:02.760 --> 0:16:04.200
<v Speaker 6>Over to no, no, tayb what it is?

0:16:04.200 --> 0:16:06.600
<v Speaker 7>It's extremely bright guy and we do it on zoom

0:16:06.640 --> 0:16:08.479
<v Speaker 7>and he's taken me through the underpinnings.

0:16:08.480 --> 0:16:09.160
<v Speaker 3>How does it work?

0:16:09.440 --> 0:16:10.520
<v Speaker 7>And then what are the use cases?

0:16:10.520 --> 0:16:11.440
<v Speaker 8>What effects does it have?

0:16:12.040 --> 0:16:14.760
<v Speaker 7>And the more you get it, I would strongly recommend

0:16:15.120 --> 0:16:17.720
<v Speaker 7>reading a book that's been recently published by Eric Schmitt

0:16:17.840 --> 0:16:21.200
<v Speaker 7>and Eric Kissinger. And what they do is they go

0:16:21.360 --> 0:16:22.880
<v Speaker 7>they go through what AI and when it is, but

0:16:22.920 --> 0:16:25.600
<v Speaker 7>basically it goes to the ramifications the potential effects of AI.

0:16:26.000 --> 0:16:28.280
<v Speaker 7>It's really enormously worth reing. This is going to shape,

0:16:28.320 --> 0:16:31.240
<v Speaker 7>in my opinion, at least have profound effects on pretty

0:16:31.280 --> 0:16:32.480
<v Speaker 7>much everything we do over time.

0:16:32.560 --> 0:16:34.520
<v Speaker 5>Yep, that's what we're hearing from a lot of smart

0:16:34.520 --> 0:16:36.120
<v Speaker 5>people as well. Robert Ribband, thank you so much for

0:16:36.200 --> 0:16:38.400
<v Speaker 5>joining us. Really appreciate it. Robert Ribin, he's a senior

0:16:38.440 --> 0:16:42.880
<v Speaker 5>counselor Centerview partner seventieth US Secretary of Treasury and of course,

0:16:42.880 --> 0:16:45.760
<v Speaker 5>former senior partner at Goldman Sachs. We appreciate getting some

0:16:45.760 --> 0:16:47.240
<v Speaker 5>of his time talking about some of these markets.

0:16:48.880 --> 0:16:52.560
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:16:52.640 --> 0:16:55.720
<v Speaker 1>weekdays at ten am Eastern on Apple Coarcklay and Android

0:16:55.760 --> 0:16:59.040
<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

0:16:59.120 --> 0:17:02.680
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0:17:03.120 --> 0:17:05.400
<v Speaker 2>Alex youl Parls we need. This is Bloomberg Intelligence Radio.

0:17:05.480 --> 0:17:08.880
<v Speaker 2>We are broadcasting to you live from the New York

0:17:08.920 --> 0:17:12.240
<v Speaker 2>Financial District with the Bloomberg and Best Conference twenty twenty five,

0:17:12.240 --> 0:17:15.840
<v Speaker 2>bringing together financial leaders, asset managers, private wealth, private equity,

0:17:16.480 --> 0:17:18.960
<v Speaker 2>as well as banking together to talk about the main

0:17:19.000 --> 0:17:20.920
<v Speaker 2>issues of our time, and we have one of them

0:17:21.320 --> 0:17:24.200
<v Speaker 2>here right with us. Mark Mahaney is senior managing director

0:17:24.200 --> 0:17:28.119
<v Speaker 2>at Evercore ISSI. Perfect day to talk to you. Nastek

0:17:28.160 --> 0:17:31.159
<v Speaker 2>one hundred now below it's two hundred day moving average.

0:17:31.200 --> 0:17:34.720
<v Speaker 2>The pressure not abating. What is put in particular leading

0:17:34.720 --> 0:17:36.080
<v Speaker 2>the tech part of the selloff?

0:17:38.600 --> 0:17:39.359
<v Speaker 6>Maybe two things.

0:17:39.359 --> 0:17:43.080
<v Speaker 9>One is that it's a sector with that's had phenomenal

0:17:43.160 --> 0:17:45.400
<v Speaker 9>outperformance for the last two and a half years, So

0:17:45.520 --> 0:17:49.040
<v Speaker 9>in reversion to the mean trade, you revert down the

0:17:49.160 --> 0:17:51.800
<v Speaker 9>stocks that aboutperformed the most. That's true, they've had phenomenal

0:17:51.840 --> 0:17:54.480
<v Speaker 9>performance since the middle of twenty two since Interra straight

0:17:54.560 --> 0:17:57.399
<v Speaker 9>stopped spiking. And then the second thing is, you know

0:17:57.520 --> 0:18:01.320
<v Speaker 9>when the tariff issues these that's wrong. Especially the tech

0:18:01.400 --> 0:18:04.800
<v Speaker 9>leaders are dramatically global companies. Half of their revenue or

0:18:04.800 --> 0:18:09.080
<v Speaker 9>more comes from overseas. Amazon has doing a lot of

0:18:09.080 --> 0:18:13.160
<v Speaker 9>retail obviously from China, but you know through Mexico and Canada.

0:18:13.280 --> 0:18:17.320
<v Speaker 9>Anything sort of ter if issues would upend their business somewhat,

0:18:17.359 --> 0:18:19.280
<v Speaker 9>depending on how well hedged they are, just as it

0:18:19.280 --> 0:18:21.680
<v Speaker 9>would for any major retailer. So I think those two

0:18:21.680 --> 0:18:24.880
<v Speaker 9>issues coming together or what's derailling those stocks right now?

0:18:25.280 --> 0:18:27.720
<v Speaker 5>Mark, You've been covering the tech sector for a long time.

0:18:27.760 --> 0:18:30.639
<v Speaker 5>You were there at the beginning of the Internet. A

0:18:30.680 --> 0:18:36.320
<v Speaker 5>lot of people are comparing AI to the Internet in

0:18:36.400 --> 0:18:40.280
<v Speaker 5>terms of the ability to transform many aspects of life.

0:18:40.359 --> 0:18:42.840
<v Speaker 5>How do you package that AI story for your clients

0:18:42.840 --> 0:18:43.680
<v Speaker 5>these days?

0:18:45.040 --> 0:18:48.480
<v Speaker 9>I don't know if it will be that transformative, but

0:18:49.440 --> 0:18:54.080
<v Speaker 9>the amount of money that's going into them paid by companies,

0:18:54.160 --> 0:18:58.200
<v Speaker 9>put in by companies that have plenty of cash is

0:18:58.240 --> 0:19:00.399
<v Speaker 9>something of a tell. And then we've seen a lot

0:19:00.400 --> 0:19:03.119
<v Speaker 9>of examples of what I call ROAI, you know, ROI

0:19:03.200 --> 0:19:07.000
<v Speaker 9>return on investment ROAI. So you know we're staring at

0:19:07.000 --> 0:19:09.199
<v Speaker 9>it right now. Look at what's happened at Meta in

0:19:09.240 --> 0:19:11.440
<v Speaker 9>the last two and a half years, how they've turned

0:19:11.440 --> 0:19:16.600
<v Speaker 9>around their business and both and they've dramatically improved their

0:19:16.600 --> 0:19:19.159
<v Speaker 9>services for customers, that's you and me as consumers. Our

0:19:19.320 --> 0:19:21.720
<v Speaker 9>news feed has gotten to become more relevant because they've

0:19:21.760 --> 0:19:25.399
<v Speaker 9>used AI to do better targeting, better recommendations. But also

0:19:25.440 --> 0:19:28.520
<v Speaker 9>for advertisers, their return on ads ben row as has

0:19:28.720 --> 0:19:32.080
<v Speaker 9>risen because the campaigns have become better targeted, better management,

0:19:32.560 --> 0:19:34.920
<v Speaker 9>better managed. So I've seen a couple of really great

0:19:35.040 --> 0:19:39.119
<v Speaker 9>ROAI examples, and so I'm not sure it's transformative, but

0:19:39.240 --> 0:19:42.159
<v Speaker 9>it's definitely improving the performance of these companies and it

0:19:42.160 --> 0:19:43.760
<v Speaker 9>shows up in the P and L two. I think

0:19:43.760 --> 0:19:45.639
<v Speaker 9>you can also look at Google. Twenty five percent of

0:19:45.640 --> 0:19:48.560
<v Speaker 9>their code is now written by AI. Imagine the productivity

0:19:48.600 --> 0:19:51.280
<v Speaker 9>improvement associated with that. And then Amazon is talking about

0:19:51.280 --> 0:19:54.320
<v Speaker 9>twenty five percent lower cost to serve in its most

0:19:54.359 --> 0:19:57.159
<v Speaker 9>advanced distribution centers. I mean, that's why their margins are

0:19:57.160 --> 0:19:58.560
<v Speaker 9>going to continue to go up, so you're seeing it

0:19:58.560 --> 0:20:00.160
<v Speaker 9>in the P and L. So I think it it's

0:20:00.160 --> 0:20:02.639
<v Speaker 9>actually a major productivity improvement, and I think this is

0:20:02.680 --> 0:20:04.439
<v Speaker 9>going to play out for years we do.

0:20:04.480 --> 0:20:05.960
<v Speaker 2>As in breaking news for you this according to the

0:20:05.960 --> 0:20:08.560
<v Speaker 2>Wall Street Journal that Ontario is going to issue twenty

0:20:08.560 --> 0:20:12.199
<v Speaker 2>five percent export tax on electricity to the US. Canada

0:20:12.200 --> 0:20:13.960
<v Speaker 2>in particular, not only does it have oil, it has

0:20:14.000 --> 0:20:16.399
<v Speaker 2>a lot of hydropower, so they're going to be taxing

0:20:16.600 --> 0:20:20.800
<v Speaker 2>electricity to the US. Here we go. Okay, So back

0:20:20.800 --> 0:20:23.320
<v Speaker 2>to AI and the transformative part of it and how

0:20:23.359 --> 0:20:27.080
<v Speaker 2>it's going to trickle out through the economy. When do

0:20:27.119 --> 0:20:31.600
<v Speaker 2>you think we're going to really understand how inferencing is

0:20:31.640 --> 0:20:34.560
<v Speaker 2>going to impact us and companies? And like, when are

0:20:34.600 --> 0:20:37.760
<v Speaker 2>you going to get me to buy into an AI story?

0:20:37.960 --> 0:20:39.800
<v Speaker 9>Well, I tried to lay out a couple of examples

0:20:39.840 --> 0:20:42.880
<v Speaker 9>already of where these companies are deploying AI and machine learning,

0:20:42.920 --> 0:20:44.960
<v Speaker 9>and they have been for quite some time. We've just

0:20:45.040 --> 0:20:48.760
<v Speaker 9>had a step up like a hockey stick improvement you

0:20:48.800 --> 0:20:53.000
<v Speaker 9>just mentioned Canada, hockey stick inflection up in productivity gains

0:20:53.040 --> 0:20:55.520
<v Speaker 9>because with these companies. So I'm sorry, I think we're

0:20:55.520 --> 0:20:57.520
<v Speaker 9>already starting to see it, and I think we're seeing.

0:20:57.320 --> 0:20:59.639
<v Speaker 2>It in I see it. I mean maybe my news feed,

0:20:59.760 --> 0:21:02.520
<v Speaker 2>but well I pay for it.

0:21:03.280 --> 0:21:06.000
<v Speaker 9>Well, you want some really specific product examples, I got

0:21:06.040 --> 0:21:07.040
<v Speaker 9>a really fun one for you.

0:21:07.160 --> 0:21:08.000
<v Speaker 2>Okay, into it.

0:21:08.160 --> 0:21:10.640
<v Speaker 9>You want to learn languages, there's this wonderful app called

0:21:10.680 --> 0:21:12.920
<v Speaker 9>dual Lingo. You want to really learn a language, pay

0:21:13.000 --> 0:21:15.560
<v Speaker 9>up for Duelingo Max, where you can use an AI

0:21:15.640 --> 0:21:18.880
<v Speaker 9>generated bot to actually practice your French, your Spanish, your German,

0:21:18.920 --> 0:21:21.520
<v Speaker 9>your Russian, whatever we need to learn these days. Anyway,

0:21:22.280 --> 0:21:23.520
<v Speaker 9>and I think you're going to see more of these

0:21:23.560 --> 0:21:25.960
<v Speaker 9>kind of little one off examples. But you know, from

0:21:25.960 --> 0:21:30.720
<v Speaker 9>a company's perspective, anything that produces internal productivity, improves relations

0:21:30.720 --> 0:21:33.359
<v Speaker 9>with suppliers or customers, I mean all of that. I

0:21:33.359 --> 0:21:36.240
<v Speaker 9>don't think there's one. I don't think there's one AI

0:21:36.359 --> 0:21:38.119
<v Speaker 9>revenue build. But you'll see a couple of products that

0:21:38.119 --> 0:21:40.920
<v Speaker 9>wouldn't exist, and I do A lingo example is one

0:21:41.040 --> 0:21:43.680
<v Speaker 9>that wouldn't simply wouldn't exist if you didn't have AI.

0:21:44.119 --> 0:21:48.040
<v Speaker 5>How about for Google and a traditional search business, is

0:21:48.119 --> 0:21:50.560
<v Speaker 5>AI a threat to Google or not?

0:21:51.240 --> 0:21:54.160
<v Speaker 9>Google just put out a blog that said that because

0:21:54.240 --> 0:22:00.920
<v Speaker 9>of AI overviews that they're actually seeing more commercial search queries.

0:22:01.840 --> 0:22:02.480
<v Speaker 8>Really that.

0:22:04.119 --> 0:22:06.320
<v Speaker 9>Should raise all of our eyes. So and I guess

0:22:06.320 --> 0:22:07.920
<v Speaker 9>I'm not. At the end of the day, not surprise.

0:22:08.000 --> 0:22:11.280
<v Speaker 9>Google is a company that just consistently improved the product,

0:22:11.560 --> 0:22:14.080
<v Speaker 9>made the search results faster and faster and more relevant.

0:22:14.280 --> 0:22:16.680
<v Speaker 9>This just took it up a notch. And so yeah,

0:22:16.760 --> 0:22:19.560
<v Speaker 9>if they can get you the result you want more quickly,

0:22:20.160 --> 0:22:23.040
<v Speaker 9>especially if it's leading to more commercial searches, Google is

0:22:23.040 --> 0:22:24.720
<v Speaker 9>the one company in the world that knows how to

0:22:24.760 --> 0:22:26.080
<v Speaker 9>monetize commercial searches.

0:22:26.320 --> 0:22:29.960
<v Speaker 2>What do you think is the biggest misconception about AI,

0:22:30.200 --> 0:22:33.679
<v Speaker 2>Whether it's like what investors thing, what's priced into the stock,

0:22:33.800 --> 0:22:34.760
<v Speaker 2>or just conceptually.

0:22:36.240 --> 0:22:40.200
<v Speaker 9>I think the biggest mistakes misconception probably occurred about three

0:22:40.200 --> 0:22:42.720
<v Speaker 9>weeks ago when Deep Sea came out and there was

0:22:42.800 --> 0:22:46.480
<v Speaker 9>concern that this would be highly disruptive for the hyperscalers.

0:22:46.560 --> 0:22:49.359
<v Speaker 9>I actually took the exact opposite view, especially if you're

0:22:49.400 --> 0:22:54.679
<v Speaker 9>at the application layer, and because the infrastructure potentially.

0:22:54.359 --> 0:22:55.560
<v Speaker 3>Just got a lot cheaper.

0:22:55.840 --> 0:22:57.640
<v Speaker 9>So you're going to all that money that you've spent

0:22:57.720 --> 0:22:59.560
<v Speaker 9>on capex, You're going to get a better return that

0:22:59.600 --> 0:23:01.240
<v Speaker 9>money was and wasted. You're going to get a better

0:23:01.280 --> 0:23:03.760
<v Speaker 9>return than you would have had in the past. So

0:23:03.800 --> 0:23:07.160
<v Speaker 9>I think that's probably the biggest recent misconception I've seen.

0:23:07.800 --> 0:23:11.800
<v Speaker 5>For Meta It's had a great turnaround, as you talked about,

0:23:12.160 --> 0:23:17.160
<v Speaker 5>what percentage of that turnaround is simply cost cutting versus

0:23:17.160 --> 0:23:20.400
<v Speaker 5>maybe just stepping away from the metaverse discussion somewhat.

0:23:21.240 --> 0:23:22.359
<v Speaker 6>I think it's two or three things.

0:23:22.400 --> 0:23:25.840
<v Speaker 9>Stepping away from metaverse, focusing on the year of efficiency

0:23:26.080 --> 0:23:28.439
<v Speaker 9>that Zuckerberg talked about the beginning of twenty three and

0:23:28.480 --> 0:23:31.240
<v Speaker 9>now it's become the years of efficiency, and I think

0:23:31.280 --> 0:23:34.200
<v Speaker 9>this does tie back into the AI. I mean, there

0:23:34.280 --> 0:23:37.080
<v Speaker 9>has been a mind shift at Silicon Valley. It's not

0:23:37.200 --> 0:23:39.600
<v Speaker 9>growth at all costs as much more of a focus

0:23:39.680 --> 0:23:42.200
<v Speaker 9>on So there's a cultural shift I think is probably good.

0:23:42.359 --> 0:23:45.679
<v Speaker 9>These companies are going through their middle life stages, not

0:23:45.720 --> 0:23:48.399
<v Speaker 9>crisis but stages, and as they do that, they should

0:23:48.800 --> 0:23:51.199
<v Speaker 9>they should be spending much less aggressively on growth. They

0:23:51.240 --> 0:23:53.560
<v Speaker 9>should be focused more on profitability than they are. But

0:23:53.600 --> 0:23:57.880
<v Speaker 9>then the tie into AI is their developers can produce

0:23:58.080 --> 0:24:00.560
<v Speaker 9>more code with your developers, it's just not like they

0:24:00.560 --> 0:24:03.040
<v Speaker 9>need to cut people from this point on, but they

0:24:03.080 --> 0:24:06.760
<v Speaker 9>can grow. They can sustain growth with less need to

0:24:06.800 --> 0:24:08.439
<v Speaker 9>add headcount than they did in the past.

0:24:08.720 --> 0:24:10.719
<v Speaker 2>All right, Mark, such a pleasure, really really great to

0:24:10.720 --> 0:24:13.040
<v Speaker 2>see you in person. Thank you. Mark Mahoney, Senior Managing

0:24:13.040 --> 0:24:16.560
<v Speaker 2>Director over at evercore is Side.

0:24:17.040 --> 0:24:20.720
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:24:20.800 --> 0:24:23.880
<v Speaker 1>weekdays at ten am Eastern on applecar Play and Android

0:24:23.920 --> 0:24:27.199
<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

0:24:27.280 --> 0:24:30.800
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0:24:31.240 --> 0:24:33.600
<v Speaker 2>A Happy Tuesday Tough tape if you're looking at the

0:24:33.640 --> 0:24:36.159
<v Speaker 2>equity market. We're live from the Bloomberg and Best Conference

0:24:36.160 --> 0:24:38.359
<v Speaker 2>twenty twenty five. We have all the top minds and

0:24:38.480 --> 0:24:41.760
<v Speaker 2>finance talking about the pressing issues, not only how to

0:24:41.800 --> 0:24:44.119
<v Speaker 2>invest money, but the future of some of the significant

0:24:44.160 --> 0:24:46.439
<v Speaker 2>things and the transition that we're going through, like for

0:24:46.480 --> 0:24:50.479
<v Speaker 2>example AI. And here joining us on set is Ben Wren.

0:24:50.880 --> 0:24:53.160
<v Speaker 2>He's founder and CEO of Sigtech.

0:24:53.280 --> 0:24:53.440
<v Speaker 6>Now.

0:24:53.520 --> 0:24:56.199
<v Speaker 2>Sigtech is a London based fintech company spun out of

0:24:56.200 --> 0:24:59.600
<v Speaker 2>Revin Howard in twenty nineteen, and it basically tries to

0:24:59.800 --> 0:25:03.840
<v Speaker 2>help quants and users manage the capital markets. I'm not

0:25:03.880 --> 0:25:05.640
<v Speaker 2>really sure I know what that means. So luckily beIN

0:25:05.800 --> 0:25:07.600
<v Speaker 2>is here for us, all right, so give us the

0:25:07.960 --> 0:25:11.560
<v Speaker 2>quick pitch on what your company actually does, sigtug.

0:25:11.640 --> 0:25:16.600
<v Speaker 10>We build specialist agents these days to help people make

0:25:17.040 --> 0:25:19.840
<v Speaker 10>better decisions in cup to markets, but also to automate

0:25:20.359 --> 0:25:22.960
<v Speaker 10>a lot of the very high value intellectual but not

0:25:23.160 --> 0:25:26.879
<v Speaker 10>very creative workflows. You know, we can reduce a lot

0:25:26.920 --> 0:25:29.359
<v Speaker 10>of the things people do today, which a bit boring,

0:25:29.600 --> 0:25:32.919
<v Speaker 10>you know, down from many hours to thirty seconds. I

0:25:32.920 --> 0:25:35.520
<v Speaker 10>think that makes a big difference in terms of productivities.

0:25:35.760 --> 0:25:37.880
<v Speaker 5>All right, here's here's an example that I can think

0:25:37.920 --> 0:25:40.879
<v Speaker 5>of for my okay to being at the printer not

0:25:41.000 --> 0:25:42.959
<v Speaker 5>far from here, a couple of blocks from here, don

0:25:43.080 --> 0:25:45.560
<v Speaker 5>Winny at the two three o'clock in the morning going

0:25:45.600 --> 0:25:47.520
<v Speaker 5>over a bond perspectus.

0:25:48.320 --> 0:25:52.240
<v Speaker 6>That's probably something that AI can help with. So how

0:25:52.320 --> 0:25:54.159
<v Speaker 6>much our asset.

0:25:53.800 --> 0:25:57.320
<v Speaker 5>Managers, generally speaking, how much are they using tech technology

0:25:57.520 --> 0:25:59.119
<v Speaker 5>today help computerize it?

0:25:59.200 --> 0:26:00.560
<v Speaker 6>Is it help quantitative?

0:26:00.640 --> 0:26:00.840
<v Speaker 3>Is it?

0:26:01.400 --> 0:26:04.200
<v Speaker 10>I think in the last fifteen years there's a big

0:26:04.240 --> 0:26:08.359
<v Speaker 10>trend in asset management to to adopt more and more technology.

0:26:08.840 --> 0:26:11.000
<v Speaker 10>And we can see this shift in terms of, you know,

0:26:11.040 --> 0:26:14.920
<v Speaker 10>people using more data driven investment processes and people hire

0:26:15.000 --> 0:26:19.159
<v Speaker 10>data analysts and but Jenny and I Jenei in the

0:26:19.200 --> 0:26:21.760
<v Speaker 10>last few years is a big step change. It's I

0:26:21.800 --> 0:26:26.440
<v Speaker 10>would say it's it's an unprecedented, unprecedented change in in

0:26:27.440 --> 0:26:30.639
<v Speaker 10>this trend, just in terms of it's no longer incremental.

0:26:32.359 --> 0:26:35.280
<v Speaker 10>There's a before and after. And you know, when we

0:26:35.359 --> 0:26:39.040
<v Speaker 10>when we think about previous technologies, you know, we mainly

0:26:39.080 --> 0:26:42.639
<v Speaker 10>focus on what we call explicit knowledge, knowledge that we

0:26:42.680 --> 0:26:46.800
<v Speaker 10>can codify, describe, and therefore use programming language to automate.

0:26:47.160 --> 0:26:51.080
<v Speaker 10>But only until now we're able to distill and automate

0:26:51.720 --> 0:26:55.440
<v Speaker 10>so called tested knowledge, the knowledge that resides in our head,

0:26:55.880 --> 0:26:58.840
<v Speaker 10>but we can't really so easily write it down and

0:26:58.920 --> 0:27:02.200
<v Speaker 10>describe and code. But now we can actually automate those

0:27:02.480 --> 0:27:05.880
<v Speaker 10>and there are plenty of those workflows and processes, especially

0:27:05.880 --> 0:27:07.160
<v Speaker 10>in financial services.

0:27:07.440 --> 0:27:11.720
<v Speaker 2>So how would you help, like a regular quant manager,

0:27:13.240 --> 0:27:15.159
<v Speaker 2>like I go to you and I'm like, hey, I

0:27:15.200 --> 0:27:17.840
<v Speaker 2>need your product to help me get better, faster, find

0:27:17.880 --> 0:27:19.520
<v Speaker 2>better trends in the market.

0:27:20.359 --> 0:27:26.280
<v Speaker 10>Yeah, for quants, I think quants started with more number driven.

0:27:27.119 --> 0:27:29.359
<v Speaker 10>You know, trend following is if you do it like

0:27:29.400 --> 0:27:32.240
<v Speaker 10>in a very simple way, it's entirely number driven. But

0:27:32.400 --> 0:27:35.960
<v Speaker 10>these days we are moving to a world where we

0:27:36.080 --> 0:27:39.520
<v Speaker 10>have to deal with numbers and text as too modalities

0:27:39.560 --> 0:27:42.960
<v Speaker 10>at the same time, which no longer just about technical analysis,

0:27:43.000 --> 0:27:47.760
<v Speaker 10>but it's also about absorbing new information and turn you know,

0:27:47.880 --> 0:27:51.560
<v Speaker 10>non numerical information into numerical information. And that's something that

0:27:51.640 --> 0:27:54.600
<v Speaker 10>Jen and I does really well because fundamentally, if you

0:27:54.600 --> 0:27:57.280
<v Speaker 10>think about how it's trained, it has been trained on

0:27:57.760 --> 0:28:01.320
<v Speaker 10>trillions of tokens of textual days and a lot of

0:28:01.400 --> 0:28:05.679
<v Speaker 10>things we used to do either bespoke or preparatory fashion.

0:28:05.720 --> 0:28:08.120
<v Speaker 10>This day we get out of box, such as sentiment

0:28:08.119 --> 0:28:12.040
<v Speaker 10>analysis or extracting relative and information from very long pieces

0:28:12.040 --> 0:28:15.040
<v Speaker 10>of text. These sort of things actually change how qualms,

0:28:15.080 --> 0:28:17.679
<v Speaker 10>even how quants approach their daily jobs.

0:28:17.960 --> 0:28:22.240
<v Speaker 5>Are the big Wall Street firms making these investments or

0:28:22.280 --> 0:28:25.679
<v Speaker 5>is it more of the hedge fund community that is

0:28:25.720 --> 0:28:26.400
<v Speaker 5>more receptive?

0:28:26.680 --> 0:28:27.600
<v Speaker 6>Who are your customers?

0:28:27.600 --> 0:28:28.040
<v Speaker 3>Typically?

0:28:28.440 --> 0:28:31.440
<v Speaker 10>So these days we mainly focus on buyside, okay, but

0:28:31.520 --> 0:28:34.080
<v Speaker 10>we also have very big clients in terms of in

0:28:34.160 --> 0:28:37.040
<v Speaker 10>terms of like commercial banks, you know, using our technology

0:28:37.080 --> 0:28:42.240
<v Speaker 10>to completely change how they underwrite commercial loans. I think

0:28:42.280 --> 0:28:46.080
<v Speaker 10>so I wouldn't say it's a cell side or buyside

0:28:46.160 --> 0:28:48.720
<v Speaker 10>or big firm or small firm.

0:28:49.320 --> 0:28:50.520
<v Speaker 6>I don't think that's the main reason.

0:28:50.560 --> 0:28:53.680
<v Speaker 10>In terms of adoption. I would say the main reason

0:28:53.840 --> 0:28:58.280
<v Speaker 10>is is the leadership. You know, when when you approach

0:28:58.400 --> 0:29:01.920
<v Speaker 10>something so unprecedented, it takes some time to build a

0:29:01.960 --> 0:29:05.360
<v Speaker 10>consensus inside the organization about you know, what's the strategy,

0:29:05.400 --> 0:29:07.640
<v Speaker 10>what do we do? But you know that may take

0:29:07.680 --> 0:29:11.040
<v Speaker 10>two months, three months, and given how fast things change

0:29:11.360 --> 0:29:14.040
<v Speaker 10>after three months is a different world. Yeah, right, So

0:29:14.120 --> 0:29:16.720
<v Speaker 10>it really takes some kind of conviction from a visionary

0:29:16.840 --> 0:29:20.440
<v Speaker 10>leadership team to adopt this technology very confidently.

0:29:20.520 --> 0:29:22.480
<v Speaker 2>Yeah, for twenty four hours, it can be a different

0:29:22.560 --> 0:29:28.200
<v Speaker 2>investing landscape. So what's the best partnership between AI and humans?

0:29:28.720 --> 0:29:31.640
<v Speaker 2>Fifty to fifty? Is it AI seventy five percent of

0:29:31.680 --> 0:29:34.120
<v Speaker 2>the decision making process twenty five percent for human How

0:29:34.120 --> 0:29:34.920
<v Speaker 2>do you think about that?

0:29:35.120 --> 0:29:35.320
<v Speaker 8>Yeah?

0:29:35.800 --> 0:29:38.840
<v Speaker 10>I think if I think about the knowledge work we

0:29:38.960 --> 0:29:42.840
<v Speaker 10>do every day, I would describe them as most of

0:29:42.880 --> 0:29:48.680
<v Speaker 10>them may be not creative, but intellectual. Right, analyze a

0:29:48.760 --> 0:29:53.280
<v Speaker 10>lot of documents picking out the right information is intellectual,

0:29:53.280 --> 0:29:58.400
<v Speaker 10>but it's not creative. So in the future, humans should

0:29:58.520 --> 0:30:01.440
<v Speaker 10>devote almost all the time to creative stuff what makes

0:30:01.520 --> 0:30:06.280
<v Speaker 10>us different, whereas the boring intellectual stuff can be automated

0:30:06.280 --> 0:30:10.680
<v Speaker 10>by AI agents. On the other hand, we are certainly

0:30:10.760 --> 0:30:14.320
<v Speaker 10>seeing a big change in the user experience, the user

0:30:14.360 --> 0:30:16.920
<v Speaker 10>interface because you know, up to on to this point,

0:30:17.040 --> 0:30:20.240
<v Speaker 10>people approach GENI and mainly through a chetbot. You know,

0:30:20.320 --> 0:30:22.120
<v Speaker 10>there's a chat box. You're typing into it to get

0:30:22.160 --> 0:30:25.840
<v Speaker 10>some response. It's very nice and it's really started the error.

0:30:25.880 --> 0:30:29.000
<v Speaker 10>But going forward, we are looking at a user user

0:30:29.000 --> 0:30:33.560
<v Speaker 10>interface that allow human to essentially collaborate with a large

0:30:33.640 --> 0:30:36.880
<v Speaker 10>number of AI agents who specialize in different things. So

0:30:36.920 --> 0:30:40.200
<v Speaker 10>how does that user interface look like, and how does

0:30:40.280 --> 0:30:46.360
<v Speaker 10>that AI human fusion intelligence look like. It's a very

0:30:46.400 --> 0:30:49.960
<v Speaker 10>active field of research, trial and errors.

0:30:50.320 --> 0:30:53.840
<v Speaker 5>So this sounds like from what I understand of AI,

0:30:54.280 --> 0:30:57.760
<v Speaker 5>a lot of computing power requirements. Talk about the investments

0:30:57.800 --> 0:31:01.440
<v Speaker 5>that you think these financial firms need to make are

0:31:01.520 --> 0:31:03.959
<v Speaker 5>making or you know, maybe need to step up.

0:31:04.200 --> 0:31:07.120
<v Speaker 10>Yeah, in terms of intelligence, and the way I think

0:31:07.120 --> 0:31:10.080
<v Speaker 10>about it is so it's very similar to electricity. You

0:31:10.080 --> 0:31:12.840
<v Speaker 10>know that we are currently in the in the first

0:31:13.160 --> 0:31:16.640
<v Speaker 10>stage of investing in the infrastructure, right and if you're

0:31:16.640 --> 0:31:19.000
<v Speaker 10>going back in history in the last two hundred years

0:31:19.000 --> 0:31:21.960
<v Speaker 10>and then the way we started building electric electricity grid

0:31:22.400 --> 0:31:25.040
<v Speaker 10>there's one magical number which is one percent. You know,

0:31:25.120 --> 0:31:27.520
<v Speaker 10>the countries throughout the history spent about one percent of

0:31:27.600 --> 0:31:31.120
<v Speaker 10>nominal GDP on building power grid from two hundred years

0:31:31.120 --> 0:31:32.880
<v Speaker 10>ago in Britain all the way to today.

0:31:33.800 --> 0:31:35.000
<v Speaker 8>So the Big Tech this.

0:31:35.040 --> 0:31:38.520
<v Speaker 10>Year announced three hundred billion dollars of investment into Genini

0:31:38.920 --> 0:31:41.840
<v Speaker 10>data centers. That's almost exactly one percent of the US

0:31:41.920 --> 0:31:45.040
<v Speaker 10>GDP today it's about thirty trillions. So in terms of

0:31:45.080 --> 0:31:49.600
<v Speaker 10>infrastructure investment, we are there, and people are building incredibly

0:31:50.080 --> 0:31:56.880
<v Speaker 10>big mega AI clusters across the country now. But we

0:31:56.960 --> 0:32:00.040
<v Speaker 10>are shifting toward the application lay right because once you

0:32:00.080 --> 0:32:02.680
<v Speaker 10>have electricity, it's not about electricity per se, it's about

0:32:02.880 --> 0:32:06.680
<v Speaker 10>what kind of appliances you can build powered by electricity.

0:32:06.720 --> 0:32:09.440
<v Speaker 10>So we are moving into that stage too, where there

0:32:09.440 --> 0:32:11.560
<v Speaker 10>are a lot of investments both in terms of talent

0:32:11.640 --> 0:32:15.120
<v Speaker 10>and capital into building the right applications that they actually

0:32:15.200 --> 0:32:18.800
<v Speaker 10>make a big difference to the knowledge workers in term

0:32:18.840 --> 0:32:21.480
<v Speaker 10>the productivity. So we are we are starting that phase.

0:32:22.640 --> 0:32:25.000
<v Speaker 2>Last question here for US, I asked Sir Mark Mahiney too,

0:32:25.200 --> 0:32:28.560
<v Speaker 2>is what's the biggest misconsumption right now when it comes

0:32:28.600 --> 0:32:30.760
<v Speaker 2>to AI and using it.

0:32:33.800 --> 0:32:37.080
<v Speaker 10>I think the biggest conception is I think people tend

0:32:37.120 --> 0:32:44.360
<v Speaker 10>to either underappreciate its capabilities or sometimes getting over optimistic,

0:32:44.360 --> 0:32:46.520
<v Speaker 10>and it's it's quite hard to get it right.

0:32:47.240 --> 0:32:49.560
<v Speaker 2>So it's too much or too little.

0:32:49.640 --> 0:32:51.920
<v Speaker 10>So I mean, I think most people are either under

0:32:52.560 --> 0:32:54.040
<v Speaker 10>you know, under hyping it.

0:32:54.080 --> 0:32:54.840
<v Speaker 6>Or over hyping it.

0:32:54.840 --> 0:32:57.640
<v Speaker 10>It's very hard to get it right. But one thing

0:32:57.760 --> 0:33:01.200
<v Speaker 10>is very obvious to us is that the pace of

0:33:01.240 --> 0:33:04.600
<v Speaker 10>the change is unprecedented and it's getting better. Like the

0:33:04.640 --> 0:33:09.560
<v Speaker 10>Deep Seek just introduced open sourced all their efficiency engineering

0:33:09.600 --> 0:33:12.160
<v Speaker 10>tricks to the whole world and then everybody is going

0:33:12.200 --> 0:33:14.600
<v Speaker 10>to adopt it. So all of this is pushing the

0:33:14.840 --> 0:33:19.320
<v Speaker 10>efficiency frontier. So we're getting better and faster every day,

0:33:19.800 --> 0:33:23.200
<v Speaker 10>so people should be prepared for the big change.

0:33:23.640 --> 0:33:25.320
<v Speaker 2>All right, Ben, thanks a lot. We really appreciate it

0:33:25.360 --> 0:33:28.520
<v Speaker 2>being run. He's founder and CEO of sig Tech. It's

0:33:28.520 --> 0:33:30.800
<v Speaker 2>like a Goldilock thing. It's like no one actually knows.

0:33:30.800 --> 0:33:33.120
<v Speaker 2>So it's either going to change the universe or it's

0:33:33.120 --> 0:33:33.560
<v Speaker 2>going to.

0:33:33.640 --> 0:33:36.800
<v Speaker 6>Ruin it center between a billion of capex.

0:33:36.880 --> 0:33:39.560
<v Speaker 2>Yeah, that is definitely not chump change.

0:33:40.200 --> 0:33:43.880
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:33:43.960 --> 0:33:47.040
<v Speaker 1>weekdays at ten am Eastern on Apple, Corplay and Android

0:33:47.080 --> 0:33:50.360
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:33:50.400 --> 0:33:54.840
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0:33:54.400 --> 0:33:55.720
<v Speaker 6>Out Steve Paul Sweeney.

0:33:56.000 --> 0:33:58.040
<v Speaker 5>We are live here at the Bloomberg Invested twenty twenty

0:33:58.040 --> 0:34:01.480
<v Speaker 5>five conference down here at Brookville Place, formerly known as

0:34:02.000 --> 0:34:04.080
<v Speaker 5>World Financial Center. I used to hang a shingle down

0:34:04.080 --> 0:34:06.480
<v Speaker 5>here at MARYLN back in the day, so some good

0:34:06.520 --> 0:34:08.319
<v Speaker 5>memories here. I tell you, if I were to come

0:34:08.360 --> 0:34:11.760
<v Speaker 5>back on the street, Alex, again, I'm telling you, private

0:34:11.800 --> 0:34:13.200
<v Speaker 5>credit might be the place I go.

0:34:13.520 --> 0:34:14.080
<v Speaker 6>I mean I went.

0:34:14.200 --> 0:34:16.920
<v Speaker 5>I went to the Chase Manhattan Bank credit training program,

0:34:17.000 --> 0:34:17.880
<v Speaker 5>the best on the street.

0:34:18.360 --> 0:34:20.760
<v Speaker 6>I could go run circles around these guys. I should

0:34:20.760 --> 0:34:21.160
<v Speaker 6>have done that.

0:34:21.280 --> 0:34:25.680
<v Speaker 5>Mark Clipschiltz Joints is his CEO blue Al Capital, speaking

0:34:25.680 --> 0:34:26.839
<v Speaker 5>here at our conference here today.

0:34:26.880 --> 0:34:28.399
<v Speaker 6>We appreciate getting a few minutes of your time.

0:34:28.480 --> 0:34:31.640
<v Speaker 5>Mark, talk to us about blue Out how you guys

0:34:31.680 --> 0:34:34.719
<v Speaker 5>fit into the private credit business, because Alex, I are

0:34:34.719 --> 0:34:38.360
<v Speaker 5>just amazed at the funds that are flowing into that market.

0:34:38.560 --> 0:34:40.160
<v Speaker 11>Well, first I have to find out how to recruit

0:34:40.200 --> 0:34:42.279
<v Speaker 11>you to join bacause for.

0:34:42.239 --> 0:34:45.160
<v Speaker 6>The best of the best credit training.

0:34:47.360 --> 0:34:48.880
<v Speaker 11>And I also want to say it's great to be

0:34:48.920 --> 0:34:51.799
<v Speaker 11>back down here. My first apartment in New York when

0:34:51.840 --> 0:34:53.719
<v Speaker 11>I moved here in nineteen ninety one to work at

0:34:53.719 --> 0:34:55.840
<v Speaker 11>Golden Sacks, when it was an eighty five broad street

0:34:56.239 --> 0:34:57.120
<v Speaker 11>right down that.

0:34:57.040 --> 0:34:58.960
<v Speaker 5>Street, I mean too, that's where Solomon Blows put us

0:34:59.000 --> 0:35:00.920
<v Speaker 5>up back in the day, so I could say I

0:35:00.960 --> 0:35:02.319
<v Speaker 5>live down here at a water view and.

0:35:02.320 --> 0:35:03.040
<v Speaker 6>All that kind of stuff.

0:35:03.200 --> 0:35:06.319
<v Speaker 5>Lovely private credit, You guys are just part of just

0:35:06.360 --> 0:35:07.680
<v Speaker 5>an amazing asset class.

0:35:07.760 --> 0:35:10.239
<v Speaker 11>Well, we've been very fortunate to be part of an

0:35:10.280 --> 0:35:12.920
<v Speaker 11>asset class, and you know, I play our role in

0:35:12.960 --> 0:35:15.760
<v Speaker 11>helping evolve it. Look, private credit, to set the stage

0:35:15.840 --> 0:35:19.400
<v Speaker 11>right is about taking long term capital from investors, and

0:35:19.440 --> 0:35:21.640
<v Speaker 11>we've tried to broaden the range of people that have

0:35:21.719 --> 0:35:23.120
<v Speaker 11>access to it and.

0:35:23.040 --> 0:35:24.960
<v Speaker 8>To be able to provide that capital.

0:35:24.680 --> 0:35:28.560
<v Speaker 11>To corporate users to support their growth with a view

0:35:28.560 --> 0:35:30.279
<v Speaker 11>to the long term. And to be here on a

0:35:30.360 --> 0:35:33.239
<v Speaker 11>day when you know the public market is so volatile,

0:35:33.719 --> 0:35:36.320
<v Speaker 11>you know, in some ways is very much a reminder

0:35:36.719 --> 0:35:40.560
<v Speaker 11>of why private credit works for investors, but also why

0:35:40.560 --> 0:35:44.759
<v Speaker 11>it's important because look, we're doing business today. We're making

0:35:44.800 --> 0:35:46.920
<v Speaker 11>loans today, just like we were yesterday, just like we

0:35:46.960 --> 0:35:51.120
<v Speaker 11>will tomorrow. You know, screen rater screen blue, screen green

0:35:51.320 --> 0:35:52.440
<v Speaker 11>prefer green.

0:35:53.040 --> 0:35:55.600
<v Speaker 2>I should disclose that to my money manager. I do

0:35:55.680 --> 0:35:58.719
<v Speaker 2>own shares in blue out private credit. I do have

0:35:58.719 --> 0:36:00.000
<v Speaker 2>some of that feel like I need to say that

0:36:00.120 --> 0:36:02.439
<v Speaker 2>thank you, but not through me, It's through my money guy.

0:36:03.239 --> 0:36:06.799
<v Speaker 2>So help me understand the competitive landscape though, because it

0:36:06.800 --> 0:36:09.400
<v Speaker 2>feels like banks now want to get a slice of

0:36:09.440 --> 0:36:11.399
<v Speaker 2>the private credit market that they had to give up,

0:36:11.400 --> 0:36:14.640
<v Speaker 2>and now we're seeing some partnerships with private credit shops.

0:36:14.640 --> 0:36:15.399
<v Speaker 2>How do you look at it?

0:36:15.520 --> 0:36:18.400
<v Speaker 11>Yeah, the evolving landscape with the banks is pretty interesting.

0:36:18.480 --> 0:36:22.319
<v Speaker 11>Let's make a couple observations. The word like referencing the

0:36:22.440 --> 0:36:25.760
<v Speaker 11>bank market I think is worth unpacking a little bit because,

0:36:25.840 --> 0:36:28.719
<v Speaker 11>as obviously you will know, when we go back to

0:36:28.960 --> 0:36:31.600
<v Speaker 11>thirty years ago, I started in the private markets. The

0:36:31.680 --> 0:36:34.560
<v Speaker 11>alternative market wasn't called that at the time, and we

0:36:34.600 --> 0:36:37.720
<v Speaker 11>actually borrowed money from the banks when we were doing

0:36:37.840 --> 0:36:41.120
<v Speaker 11>an LBO as it was called then, literally from their

0:36:41.320 --> 0:36:45.000
<v Speaker 11>balance sheets. That over the last thirty years has been

0:36:45.000 --> 0:36:48.759
<v Speaker 11>on a long trajectory changing from being a lender to

0:36:48.960 --> 0:36:51.759
<v Speaker 11>now the banks don't lend to these companies at all.

0:36:51.840 --> 0:36:55.040
<v Speaker 11>And that's been true for a while. They intermediate, right,

0:36:55.080 --> 0:36:57.839
<v Speaker 11>they'll go in and they'll underwrite a loan and then

0:36:58.000 --> 0:37:00.319
<v Speaker 11>sell it into the market, cut it into pieces and

0:37:00.560 --> 0:37:04.399
<v Speaker 11>sell it. And so in that regard, of course, that's

0:37:04.400 --> 0:37:06.719
<v Speaker 11>an alternative way to finance a business, and we could

0:37:06.840 --> 0:37:08.560
<v Speaker 11>talk about the pluses and minuses of both.

0:37:08.840 --> 0:37:10.240
<v Speaker 8>It's great to have both markets.

0:37:10.280 --> 0:37:13.880
<v Speaker 11>You want to have a good, vibrant bank intermediated market.

0:37:13.920 --> 0:37:16.759
<v Speaker 11>But remember what the bank cares about is can I

0:37:16.840 --> 0:37:19.360
<v Speaker 11>underwrite the loan and sell it in the next sixty days.

0:37:19.480 --> 0:37:22.720
<v Speaker 11>So the red screen today is dramatic for a decision

0:37:22.760 --> 0:37:24.120
<v Speaker 11>for a bank to underwrite a loan.

0:37:24.880 --> 0:37:25.960
<v Speaker 8>On the other hand, word at the.

0:37:25.960 --> 0:37:28.400
<v Speaker 11>Exact opposite, it doesn't really matter to us what's happening

0:37:28.440 --> 0:37:30.799
<v Speaker 11>in the market today. What matters to us is do

0:37:30.840 --> 0:37:33.120
<v Speaker 11>we get paid back five, six, seven years from out.

0:37:33.239 --> 0:37:36.120
<v Speaker 11>That's our decision, that's what we're focused on. So in

0:37:36.160 --> 0:37:39.240
<v Speaker 11>that sense, we really live in kind of with different

0:37:39.239 --> 0:37:42.480
<v Speaker 11>incentives and serve a different function. However, to the good point,

0:37:42.840 --> 0:37:45.600
<v Speaker 11>the banks are saying, okay, but turns out private credit

0:37:45.640 --> 0:37:46.200
<v Speaker 11>really does work.

0:37:46.239 --> 0:37:46.359
<v Speaker 6>Right.

0:37:46.360 --> 0:37:48.920
<v Speaker 11>They spent a lot of time criticizing the market and

0:37:49.000 --> 0:37:52.279
<v Speaker 11>trying different ways to maybe scare up the boogeyman, but

0:37:52.480 --> 0:37:55.759
<v Speaker 11>now they in fact are actually launching funds to do

0:37:55.800 --> 0:37:59.239
<v Speaker 11>private credit so I'd start with, look, if can't beat them,

0:37:59.320 --> 0:38:02.320
<v Speaker 11>join them, and we that's great, We'll take the endorsement

0:38:02.360 --> 0:38:02.920
<v Speaker 11>of the market.

0:38:03.400 --> 0:38:05.520
<v Speaker 8>It's a big world credit, it's a.

0:38:05.600 --> 0:38:09.200
<v Speaker 11>Multi trillion dollar asset class, multi trillion dollar marketplace. We

0:38:09.360 --> 0:38:12.920
<v Speaker 11>need vibrant available capital and having bank.

0:38:12.760 --> 0:38:14.000
<v Speaker 8>Launch a fund, you know great.

0:38:14.000 --> 0:38:16.120
<v Speaker 11>There's a lot of funds in the world, and some

0:38:16.120 --> 0:38:17.959
<v Speaker 11>of those will be done in partnerships as you noted,

0:38:18.000 --> 0:38:20.919
<v Speaker 11>and some will just be standalone efforts, and some will

0:38:20.960 --> 0:38:23.720
<v Speaker 11>just continue to stay the course and do their traditional underwriting.

0:38:24.040 --> 0:38:26.600
<v Speaker 6>What's a typical deal for blue out these days?

0:38:27.000 --> 0:38:29.400
<v Speaker 11>So a typical deal for us. And this has been

0:38:29.440 --> 0:38:31.719
<v Speaker 11>true for us from the beginning. Obviously the attributes and

0:38:31.760 --> 0:38:34.560
<v Speaker 11>the size have changed. But over the last roughly ten

0:38:34.640 --> 0:38:37.120
<v Speaker 11>years that we've built Blue Owl, our reason to be

0:38:37.719 --> 0:38:39.360
<v Speaker 11>was to come in and say, look, we want private

0:38:39.400 --> 0:38:42.760
<v Speaker 11>credit to become the lender of first choice as opposed

0:38:42.800 --> 0:38:45.000
<v Speaker 11>to the lender of last resort, and private credit, if

0:38:45.040 --> 0:38:48.440
<v Speaker 11>you go back before that time, was really a lender

0:38:48.960 --> 0:38:51.280
<v Speaker 11>of last resort. It's where you went if you couldn't

0:38:51.320 --> 0:38:53.839
<v Speaker 11>get money from a mainstream source. As I said, I

0:38:53.920 --> 0:38:57.160
<v Speaker 11>was at KKR for twenty one years and during that time.

0:38:57.640 --> 0:39:00.799
<v Speaker 11>I don't recall ever working with a lender that just

0:39:00.840 --> 0:39:04.040
<v Speaker 11>was the once you did if you were a mainstream borrower.

0:39:04.320 --> 0:39:06.240
<v Speaker 8>But the idea for Blualla.

0:39:05.800 --> 0:39:08.759
<v Speaker 11>And today so to answer this question has been to

0:39:08.800 --> 0:39:13.320
<v Speaker 11>create actually a real value proposition in having a partner

0:39:13.400 --> 0:39:16.160
<v Speaker 11>to really work with a long dated capital pool for

0:39:16.239 --> 0:39:19.280
<v Speaker 11>someone who has long dated needs and long dated ambitions

0:39:19.280 --> 0:39:22.840
<v Speaker 11>with their business. So our typical company today often backed

0:39:22.840 --> 0:39:26.360
<v Speaker 11>by a private equity firm, a sponsor. Sometimes it's just

0:39:26.400 --> 0:39:30.560
<v Speaker 11>private family owned businesses or other corporate enterprises, but typically

0:39:30.640 --> 0:39:33.759
<v Speaker 11>a private equity backed business and they're buying a very

0:39:33.880 --> 0:39:36.760
<v Speaker 11>large company and they're looking for a long term partner

0:39:36.920 --> 0:39:39.759
<v Speaker 11>to buy it. So typically when we do a transaction,

0:39:40.280 --> 0:39:44.160
<v Speaker 11>we're lending maybe forty percent of the purchase price and

0:39:44.239 --> 0:39:46.760
<v Speaker 11>the buyer is putting up sixty percent of the capital.

0:39:46.840 --> 0:39:50.320
<v Speaker 11>So that's a very very low leverage structure compared to

0:39:50.360 --> 0:39:51.279
<v Speaker 11>what people are used to.

0:39:51.480 --> 0:39:53.880
<v Speaker 8>If you go back again ten years and twenty.

0:39:53.680 --> 0:39:56.920
<v Speaker 11>Years, and the company today, our average company in our

0:39:56.960 --> 0:40:01.080
<v Speaker 11>portfolio has over two hundred million dollars of ibadag. I mean,

0:40:01.080 --> 0:40:04.240
<v Speaker 11>these are big companies today, and that's been a dramatic

0:40:04.280 --> 0:40:06.160
<v Speaker 11>shift from ten years ago when it was really a

0:40:06.239 --> 0:40:08.200
<v Speaker 11>market for smaller businesses.

0:40:08.480 --> 0:40:10.760
<v Speaker 2>So let's get to that five to seven year time horizon,

0:40:10.840 --> 0:40:14.040
<v Speaker 2>because ten years ago that's the exact same conversation I'd

0:40:14.040 --> 0:40:16.480
<v Speaker 2>be having with private equity, right, and then we see

0:40:16.520 --> 0:40:19.600
<v Speaker 2>where things get tough and things get stickier, when vintages

0:40:19.640 --> 0:40:22.640
<v Speaker 2>don't work out or there come under different times of

0:40:22.680 --> 0:40:26.640
<v Speaker 2>market stress. How does that apply to the credit space?

0:40:27.360 --> 0:40:29.719
<v Speaker 11>So I think it applies for sure in the sense

0:40:29.760 --> 0:40:33.359
<v Speaker 11>that every market evolves. In every market we'll have it's

0:40:33.480 --> 0:40:36.800
<v Speaker 11>maybe slightly higher and lower moments, but there's an important distinction. Okay,

0:40:37.280 --> 0:40:39.239
<v Speaker 11>at the end of the day, private equity, if I

0:40:39.360 --> 0:40:41.680
<v Speaker 11>kind of use this metaphor, private equity, which is a

0:40:41.680 --> 0:40:47.200
<v Speaker 11>business I personally participated in for decades, is about mining

0:40:47.239 --> 0:40:49.799
<v Speaker 11>for gold. Right, It's about going out and maybe in

0:40:49.800 --> 0:40:53.200
<v Speaker 11>our simplified parlance, might call and to get rich strategies.

0:40:53.360 --> 0:40:55.600
<v Speaker 11>How do you out there and shoot the moon on

0:40:55.920 --> 0:40:59.520
<v Speaker 11>great returns? So they're mining for gold. Our business in

0:40:59.760 --> 0:41:02.480
<v Speaker 11>price credit is to be the picks and shovels provider

0:41:02.680 --> 0:41:06.200
<v Speaker 11>to those miners. So we're not trying to find a

0:41:06.239 --> 0:41:08.920
<v Speaker 11>big gold vein. We're not betting on the price of

0:41:08.960 --> 0:41:11.360
<v Speaker 11>gold what we're saying is if the miners are active,

0:41:11.400 --> 0:41:14.279
<v Speaker 11>and miners in this case would be any corporate user

0:41:14.320 --> 0:41:16.800
<v Speaker 11>of capital, so they are always active, we want to

0:41:16.800 --> 0:41:19.600
<v Speaker 11>supply them, and we take a less risky position, and

0:41:19.680 --> 0:41:23.960
<v Speaker 11>we expect a corollary attractive return. So on the one hand,

0:41:24.080 --> 0:41:26.560
<v Speaker 11>of course, every market evolves, and I want to suggest

0:41:26.560 --> 0:41:28.839
<v Speaker 11>anybody that lives in a vacuum. But the purpose of

0:41:28.880 --> 0:41:32.120
<v Speaker 11>our strategies and the purpose of private credit from private

0:41:32.120 --> 0:41:34.799
<v Speaker 11>credit from an investor's point of view, is to have

0:41:34.840 --> 0:41:39.240
<v Speaker 11>something that's much more about downside protection, stability and income

0:41:39.320 --> 0:41:42.560
<v Speaker 11>generation through times of uncertainty, which is a bit why

0:41:42.600 --> 0:41:45.040
<v Speaker 11>I say this sort of red environment. Today is actually

0:41:45.120 --> 0:41:47.480
<v Speaker 11>a good time to have the conversation because what we're

0:41:47.520 --> 0:41:51.279
<v Speaker 11>trying to build our portfolios and successfully have down over

0:41:51.320 --> 0:41:53.919
<v Speaker 11>one hundred billion dollars of loans, and our running loss

0:41:54.000 --> 0:41:56.759
<v Speaker 11>rates have been eleven basis points, and I think it

0:41:56.800 --> 0:41:58.960
<v Speaker 11>speaks to the idea that this is about durability and

0:41:59.000 --> 0:42:02.560
<v Speaker 11>predictability when times are uncertain. And I think it's probably

0:42:02.600 --> 0:42:05.520
<v Speaker 11>safe to say today everyone's looking around saying, gosh, it

0:42:05.560 --> 0:42:06.799
<v Speaker 11>feels uncertain out there.

0:42:07.160 --> 0:42:08.399
<v Speaker 6>Mark, we got about a minute left.

0:42:08.840 --> 0:42:10.440
<v Speaker 5>What do you say to those folks who say, as

0:42:10.520 --> 0:42:12.160
<v Speaker 5>the business evolves.

0:42:11.800 --> 0:42:14.400
<v Speaker 6>The dollars get bigger, regulation is needed. What do you

0:42:14.440 --> 0:42:16.000
<v Speaker 6>say to those folks.

0:42:15.640 --> 0:42:18.719
<v Speaker 11>Well, we're a highly regulated business as is, so you

0:42:18.760 --> 0:42:22.040
<v Speaker 11>know today, Look, we're regulated by the SEC. We're a

0:42:22.239 --> 0:42:24.520
<v Speaker 11>public company as a manager, we have public vehicles, we

0:42:24.600 --> 0:42:27.280
<v Speaker 11>have a lot of regulators we work.

0:42:27.160 --> 0:42:29.120
<v Speaker 8>With constructively, happy to do it.

0:42:29.520 --> 0:42:32.360
<v Speaker 11>I don't think if what we mean by more regulation

0:42:32.520 --> 0:42:36.040
<v Speaker 11>is more direction from sort of a central source as

0:42:36.120 --> 0:42:39.160
<v Speaker 11>to what you should or shouldn't lend money to Remember,

0:42:39.560 --> 0:42:41.960
<v Speaker 11>when we look back where the sources of problems have been,

0:42:42.480 --> 0:42:46.320
<v Speaker 11>they actually tend to be in the regulated institutions, not outside.

0:42:46.440 --> 0:42:47.280
<v Speaker 8>Even recently.

0:42:47.440 --> 0:42:50.359
<v Speaker 11>Of course, everyone remembers the financial crisis, but don't forget

0:42:50.400 --> 0:42:52.600
<v Speaker 11>over the last few years as private credit has thrived.

0:42:52.680 --> 0:42:55.719
<v Speaker 11>One of the moments we worked through was the run

0:42:55.760 --> 0:42:58.920
<v Speaker 11>on the bank at Silicon Valley Bank. So you know,

0:42:58.960 --> 0:43:01.320
<v Speaker 11>what's old is new. If you have one day capital

0:43:01.320 --> 0:43:03.360
<v Speaker 11>and you do long term things with it, that's challenging.

0:43:03.440 --> 0:43:06.240
<v Speaker 11>We have long term capital to do long term things,

0:43:06.640 --> 0:43:08.000
<v Speaker 11>So I think at the end of the day, look,

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<v Speaker 11>we don't touch depositors. We're not systemic. So it's a

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<v Speaker 11>nice compliment to a traditional banking market and a public marketplace.

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<v Speaker 6>Great stuff, Mark, thank you so much for your time.

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<v Speaker 5>Market lipshoalw It's Blue Out Capital co CEO talking about

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<v Speaker 5>the private credit business and what a growth business it

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<v Speaker 5>has been for sure.

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