WEBVTT - Broadcasting Live from Bloomberg Invest

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is Bloomberg business Week, Insight from the reporters and

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<v Speaker 2>editors that bring you America's most trusted business magazine, plus.

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<v Speaker 3>Global business, finance and tech news.

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<v Speaker 2>The Bloomberg business Week Podcast with Carol Masser and Tim

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<v Speaker 2>Stenovek on Bloomberg Radio.

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<v Speaker 4>All Right, everybody, welcome to Bloomberg Business Week. You have

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<v Speaker 4>been looking at BusinessWeek. We're live at the Bloomberg invest Summit.

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<v Speaker 1>The idea of a cautious market moving forward is certainly

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<v Speaker 1>something that is top of mind for us and for

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<v Speaker 1>the guests here today on at Bloomberg business Week and

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<v Speaker 1>at Bloomberg Invest. We're going to have a chat about

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<v Speaker 1>the cautious path for ray cuts. A little later, we're

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<v Speaker 1>going to hear from John Williams, President of the Federal

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<v Speaker 1>Reserve Bank of New York.

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<v Speaker 4>Well, it's going to talk about AI and tech. We're

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<v Speaker 4>going to do that with the chief AI officer over

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<v Speaker 4>at Dell Computer. So looking forward to what John Rose

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<v Speaker 4>has to say. In the meantime, let's talk about the

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<v Speaker 4>Marcus because it is top of mind in our invest conference.

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<v Speaker 4>Year is very timely. Mina Flynn is with us co

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<v Speaker 4>head of Global Private wealth Management at gold Min sax

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<v Speaker 4>Here at Bloomberg invest Hello, Hello, You've been very patient.

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<v Speaker 4>There's a lot coming out investors today. How do you

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<v Speaker 4>make sense of this environment?

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<v Speaker 5>I think the number one thing that we have to

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<v Speaker 5>remember is that when it comes to individuals, the first

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<v Speaker 5>thing you focus on is portfolio construction. Portfolio construction drives

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<v Speaker 5>ninety percent of a client's returns and it's something that

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<v Speaker 5>we talk about upfront and then on an ongoing basis

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<v Speaker 5>with them. And the reason why this is so important

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<v Speaker 5>is in times of volatility such as we've had this

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<v Speaker 5>week that we've had today, and what you don't want

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<v Speaker 5>is you don't want investors to be taking so much

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<v Speaker 5>risk that they become uncomfortable and they sell, they crystallize

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<v Speaker 5>a loss versus staying put or buying. But on the

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<v Speaker 5>flip side, we want to make sure that we encourage

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<v Speaker 5>clients to take enough risks so that they offset inflation

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<v Speaker 5>on an after tax, after spending basis, so our portfolios

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<v Speaker 5>are really constructed with investment, great high quality fixed income

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<v Speaker 5>and then a good amount of equities and alternatives.

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<v Speaker 1>Let's talk about the equities first in terms of geographic

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<v Speaker 1>exposure for those equities. What has it traditionally been? And look,

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<v Speaker 1>we know it's not a monolith. Every client is certainly different.

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<v Speaker 1>But in general, how do you think about US equities

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<v Speaker 1>versus equities outside of the US?

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<v Speaker 5>Sure, so we prefer US equities, and we prefer that

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<v Speaker 5>both in both public markets as well as private markets.

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<v Speaker 5>Big picture, we have roughly about a forty percent allocation

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<v Speaker 5>to public equities. The largest allocation of that is to

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<v Speaker 5>US equities, and then outside of that developed international equities,

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<v Speaker 5>we do have a small percentage to emerging markets. But

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<v Speaker 5>then also I would say we have recently increased our

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<v Speaker 5>allocation to private markets and to private equity, and specifically

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<v Speaker 5>as it relates to buyout and growth. And the reason

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<v Speaker 5>why is because these are two subsectors of alternatives where

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<v Speaker 5>you see a significant amount of alpha relative to public

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<v Speaker 5>market markets, and also the distributions of returns is much

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<v Speaker 5>more narrow than other subasset classes within alternatives.

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<v Speaker 4>In terms of private equity, are you upbeat about the

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<v Speaker 4>ability exit to see start seeing exits which is something

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<v Speaker 4>that has been really difficult over the last few years.

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<v Speaker 5>It has been difficult as it relates to public markets.

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<v Speaker 5>I'm upbeat as it relates to private equity on two things.

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<v Speaker 5>One is, I do think to the extent that you

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<v Speaker 5>have opportunities right now in public markets to be able

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<v Speaker 5>to take companies private. I think that's an attractive opportunity

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<v Speaker 5>for private equity companies. Second, I do think that there's

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<v Speaker 5>a lot of opportunities for private equity companies in the

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<v Speaker 5>private markets, so they don't necessarily have to only think

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<v Speaker 5>about taking a company public or M and A as

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<v Speaker 5>their only alternative to liquidity. So a lot of secondary

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<v Speaker 5>private exits, a lot of continuation funds. The other thing

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<v Speaker 5>I would note, although, is if you look at growth

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<v Speaker 5>valuations and in private equity, what you have seen is

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<v Speaker 5>you have seen a normalization of valuations between public and

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<v Speaker 5>private markets. And the reason is because you've had really

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<v Speaker 5>strong performance with these portfolio companies and it's allowed these

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<v Speaker 5>companies to grow into the target exit valuations that these

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<v Speaker 5>gps were looking for. So I do think once you

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<v Speaker 5>have a little bit more stabilization in the markets, you're

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<v Speaker 5>going to see more deal activity, both as relates to

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<v Speaker 5>IPO as well as M and A.

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<v Speaker 1>Okay, so let's talk about potential stabilization in the markets.

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<v Speaker 1>Just in the last couple of weeks, we've certainly seen

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<v Speaker 1>things change quite a bit. As Carol mentioned, at one

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<v Speaker 1>point today the S and P five hundred had given

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<v Speaker 1>up all its gains since that November fifth election. Tariff concerns,

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<v Speaker 1>concerns about the economy.

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<v Speaker 3>What's your outlook?

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<v Speaker 5>So I would just say the thing that I'm really

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<v Speaker 5>thinking about is the sequencing of policies. And so if

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<v Speaker 5>you look at the Trump administration, it is a pro

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<v Speaker 5>business administration. But what we're seeing right now is some

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<v Speaker 5>of the negative hits to growth come first, whether that's

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<v Speaker 5>immigration or whether that's tariffs. Before in the second half

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<v Speaker 5>of the year we're probably going to see some sort

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<v Speaker 5>of tax reform as well as deregulation, and so I

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<v Speaker 5>think what we've got to be mindful of is a

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<v Speaker 5>little bit of that curve. Generally, the number one driver

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<v Speaker 5>of US equity returns is a growing economy. Even with

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<v Speaker 5>the tariff rates that we're talking about right now, we

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<v Speaker 5>still do anticipate that we're going to have positive GDP

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<v Speaker 5>in the US, and so from here we still do

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<v Speaker 5>see equity market upside in the US.

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<v Speaker 4>So Meanie, you guys don't think about recession because it

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<v Speaker 4>does feel like all of a sudden, the narratives change

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<v Speaker 4>a little bit. We've seen weaker consumer spending numbers, consumer

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<v Speaker 4>sentiment numbers, manufacturing data, so no concern GDP now data

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<v Speaker 4>which we know from the land EFFED can be very volatile,

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<v Speaker 4>but recession off the table completely.

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<v Speaker 5>For this, It's definitely, it's definitely not off the table,

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<v Speaker 5>and we absolutely are looking at the data, whether that's

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<v Speaker 5>consumer spending.

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<v Speaker 4>The jobs report this Friday is going to.

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<v Speaker 5>Be important, but you're also looking at a growth of

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<v Speaker 5>over two percent, you know, two and a half percent,

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<v Speaker 5>and so we have the odds of a recession even

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<v Speaker 5>with these tariffs relatively low, call it fifteen to twenty percent.

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<v Speaker 5>I do think it's important to take a step back

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<v Speaker 5>and just look at we've got an SMP that's down

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<v Speaker 5>roughly one percent year to date. Right, We've had a

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<v Speaker 5>lot of volatility, but we've got an sp that's down

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<v Speaker 5>one percent year to date. Okay. Where you've really seen

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<v Speaker 5>that underperformance is in the consumer to the macro points

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<v Speaker 5>that you were talking about, as well as in technology,

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<v Speaker 5>just because you've had some of the growth decrease in

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<v Speaker 5>earnings outperformance versus called the rest of the four ninety

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<v Speaker 5>three r but outside of consumer technology, all of the

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<v Speaker 5>other sectors are positive. And so what I'm really focused

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<v Speaker 5>on is the earnings path for the other four ninety three.

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<v Speaker 5>I think the max seven is going to be fine,

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<v Speaker 5>but what we're going to see versus twenty four is

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<v Speaker 5>likely a lot more earnings growth. So call it three

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<v Speaker 5>percent and twenty four roughly eight nine percent this year.

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<v Speaker 5>And so, and just your point as it relates to tariffs,

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<v Speaker 5>we anticipate that every one percent increase in the effective

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<v Speaker 5>tear rate decreases growth by roughly ten bases points and

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<v Speaker 5>increases inflation by ten bases points.

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<v Speaker 4>So it is manageable.

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<v Speaker 5>I mean, it's going to depend on what happens, how

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<v Speaker 5>long those tariffs are in place, if they're rolling or not.

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<v Speaker 5>I think if they're rolling, tariffs is going to be

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<v Speaker 5>much more hard from an inflation perspective.

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<v Speaker 4>Do you think that's up in the air based on

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<v Speaker 4>just kind of the mood the mode that we've gotten

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<v Speaker 4>from the White House in the last twenty four to

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<v Speaker 4>forty eight hours, do you think that these are going

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<v Speaker 4>to be lasting tariffs that stick around for a long time.

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<v Speaker 4>Will there be more possibly or do you think that

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<v Speaker 4>things could change in a week and a month.

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<v Speaker 5>I think things could absolutely change overnight and a week

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<v Speaker 5>and a month. And I do think that there's going

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<v Speaker 5>to be incrementally more tariffs that we see on things

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<v Speaker 5>like autos, and I do think that there's the opportunity

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<v Speaker 5>to also make a deal with you know, Mexica Canada

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<v Speaker 5>in the near term and actually, you know, have those

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<v Speaker 5>tariffs reduced. And so I think the ultimate is we

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<v Speaker 5>don't know what's going to happen, and we just the

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<v Speaker 5>main thing we're focused on is that economic data.

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<v Speaker 1>Do you think the tariffs on Mexico and Canada are

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<v Speaker 1>more damaging than tariffs on China, because it does seem

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<v Speaker 1>like the Mexico and Canada tear there is this off

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<v Speaker 1>ramp when it comes to you know, what the President

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<v Speaker 1>and his team have called essentially the border crisis and

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<v Speaker 1>the drug war. Yeah, I mean, I think we don't

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<v Speaker 1>necessarily see that off ramp.

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<v Speaker 5>Yeah, when you look at twenty five percent tariffs that

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<v Speaker 5>you're talking about with Canada and Mexico, it's much more

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<v Speaker 5>substantial than the tariffs that you've actually seen on China.

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<v Speaker 5>And so when you think about that effective tariff tariff

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<v Speaker 5>rate right now, it's roughly about eight percent. If things

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<v Speaker 5>stay as they have been announced, an eight percent tariff

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<v Speaker 5>rate would actually hit growth by roughly call it, you know,

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<v Speaker 5>eighty basis points, and would increase inflation by roughly eighty

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<v Speaker 5>basis points. That being said, we already had inflation coming

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<v Speaker 5>down from where it is right now, and so we

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<v Speaker 5>probably get to roughly a three percent level if that's

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<v Speaker 5>the case. Again, it's not our estimate or our perspective

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<v Speaker 5>that tariffs stay at these levels, but if that's the case,

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<v Speaker 5>you still have an opportunity for the FED to be

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<v Speaker 5>able to react if you have inflation even at that

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<v Speaker 5>three percent level. And so what we saw in twenty

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<v Speaker 5>nineteen is the FED cut as an insurance cut. And

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<v Speaker 5>could we see that again today or you know, call

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<v Speaker 5>it May, June, December. Absolutely, and I think the market's

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<v Speaker 5>pricing more of that today. That's exactly what traders are

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<v Speaker 5>pricing in three rate cuts. What kind of blows my

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<v Speaker 5>mind is though, as you say, things could change quickly overnight,

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<v Speaker 5>in a week, in a day, and that's kind of

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<v Speaker 5>the environment that we've seen and we've seen it play

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<v Speaker 5>out in terms of the rate environment. One thing I

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<v Speaker 5>want to ask you, because I think there's been an

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<v Speaker 5>assumption when it comes to President Trump his tolerance of,

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<v Speaker 5>you know, market volatility, that he was watching the equity markets.

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<v Speaker 4>It was kind of interesting to see. I feel like

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<v Speaker 4>over the last few days where the markets had certainly

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<v Speaker 4>the equity markets had some problems, and we just had

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<v Speaker 4>this assumption that President Trump would do something, say something.

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<v Speaker 4>I'm curious, how like, what's the conversation you guys all

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<v Speaker 4>have around that.

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<v Speaker 5>I mean, definitely there, I'll put whatever you want to Yeah,

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<v Speaker 5>I mean there's definitely their perspective that there was going

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<v Speaker 5>to be a deal done, which is why you know,

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<v Speaker 5>the markets are reacting like they are. And you do

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<v Speaker 5>have a president that has really focused on pro business policies.

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<v Speaker 5>But at the end of the day, he's very focused

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<v Speaker 5>on bringing manufacturing and jobs back to the US. And

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<v Speaker 5>the question is can we withstand that volatility? Can the

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<v Speaker 5>consumer withstand that volatility? Can CEOs withstand that volatility and

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<v Speaker 5>continue to invest in their businesses.

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<v Speaker 4>One thing I want to ask you, John Williams is

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<v Speaker 4>coming up. He's going to talk with our Michael McKee.

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<v Speaker 4>If you're sitting down with him, I mean or what

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<v Speaker 4>do you hope that Mike asks him? Because I'm curious.

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<v Speaker 4>I think Mike probably a week ago had different set

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<v Speaker 4>of questions, and he probably does today. But what would

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<v Speaker 4>you want to hear from John Williams or what would

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<v Speaker 4>you want to hear him talk about.

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<v Speaker 5>I guess I would want to know as it relates

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<v Speaker 5>to on the tenure, what's his thoughts as it relates

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<v Speaker 5>to the tenure. We have a Treasury Secretary who's suggested

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<v Speaker 5>that he's watching that right, and so what is the

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<v Speaker 5>absolute level of the tenure, Why is it moving, how

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<v Speaker 5>fast is it moving? And how does that play into

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<v Speaker 5>their overall picture of kind of risk tolerance? And how

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<v Speaker 5>does that then affect if they cut rates? They don't

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<v Speaker 5>cut rates? And do they do that? Can they do

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<v Speaker 5>that even with inflation? Call it three if inflation does

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<v Speaker 5>tick up to call it three percent or so.

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<v Speaker 1>We're going to be hearing from John Williams in just

0:11:11.559 --> 0:11:13.600
<v Speaker 1>a minute, so we'll see what Mike asks him before

0:11:13.600 --> 0:11:16.959
<v Speaker 1>we let you go. Mina crypto is it part of

0:11:17.000 --> 0:11:20.360
<v Speaker 1>the alternatives in a portfolio for your ultra high networth clients?

0:11:20.760 --> 0:11:24.040
<v Speaker 5>It's not part of our client's portfolios. And the main

0:11:24.080 --> 0:11:26.160
<v Speaker 5>reason that is is because we don't see it as

0:11:26.200 --> 0:11:29.200
<v Speaker 5>a store of value. It's very hard to actually value.

0:11:29.400 --> 0:11:32.760
<v Speaker 1>Oh please for the crypto folks in the back. Yeah,

0:11:32.880 --> 0:11:35.160
<v Speaker 1>so you don't see it as a store of value,

0:11:35.240 --> 0:11:35.839
<v Speaker 1>is what you said.

0:11:35.880 --> 0:11:37.920
<v Speaker 5>We don't see the store of value and Tiley volatile

0:11:37.960 --> 0:11:40.679
<v Speaker 5>asset and it's hard under what valuation metrics do you

0:11:40.760 --> 0:11:42.920
<v Speaker 5>actually value it? So no, we don't have it as

0:11:42.920 --> 0:11:44.520
<v Speaker 5>a part of our core asset allocation.

0:11:44.600 --> 0:11:48.280
<v Speaker 1>All right, don't throw anything at Miana crypto people when

0:11:48.320 --> 0:11:51.640
<v Speaker 1>you see her around, because she said what a lot

0:11:51.640 --> 0:11:52.160
<v Speaker 1>of people think.

0:11:52.200 --> 0:11:53.319
<v Speaker 3>I think it's fair to say.

0:11:53.320 --> 0:11:55.880
<v Speaker 4>Absolutely, thank you so much, so appreciate it of course.

0:11:56.000 --> 0:11:58.559
<v Speaker 4>Mina Flin, co head of Global Private Wealth Management at GOLDMNSAX.

0:11:58.559 --> 0:12:00.079
<v Speaker 4>Here at Bloomberg invest.

0:12:00.520 --> 0:12:04.080
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:12:04.160 --> 0:12:07.600
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:12:07.640 --> 0:12:11.160
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:12:11.360 --> 0:12:13.160
<v Speaker 2>or watch us live on YouTube.

0:12:14.440 --> 0:12:16.240
<v Speaker 4>Safe to say, every day we are seeing tons of

0:12:16.280 --> 0:12:17.920
<v Speaker 4>headlines on AI, so we just kind of want to

0:12:18.000 --> 0:12:19.240
<v Speaker 4>jump in in top of our next guy.

0:12:19.400 --> 0:12:21.800
<v Speaker 1>Yeah, we got with us Dell Technologies, Global CTO and

0:12:21.880 --> 0:12:24.880
<v Speaker 1>chief AI officer John Rose here with us at Bloomberg

0:12:24.960 --> 0:12:28.360
<v Speaker 1>invest He participated in a panel already on strategies for

0:12:28.480 --> 0:12:32.040
<v Speaker 1>enhancing a company value. John, Look, before we get going,

0:12:32.080 --> 0:12:33.600
<v Speaker 1>I just want to get an update from you on

0:12:33.720 --> 0:12:38.560
<v Speaker 1>IT spending through the pandemic if anything today and like

0:12:38.600 --> 0:12:41.679
<v Speaker 1>today's volatility that we saw in the markets, although it's

0:12:41.760 --> 0:12:44.440
<v Speaker 1>kind of coming back in the equity markets, are you

0:12:44.480 --> 0:12:47.920
<v Speaker 1>watching that at all in the context of IT spend, well, well.

0:12:47.760 --> 0:12:52.319
<v Speaker 6>There's two answers in terms of AI spend. Clearly that's

0:12:52.600 --> 0:12:55.079
<v Speaker 6>a gigantic growth theory. I think we've seen the TAM

0:12:55.160 --> 0:12:58.120
<v Speaker 6>double in the last year. There's no doubt that you know,

0:12:58.120 --> 0:13:00.760
<v Speaker 6>we're on a track right now, and definitely in the

0:13:00.800 --> 0:13:04.160
<v Speaker 6>global enterprise market that probably the majority of IT spend

0:13:04.240 --> 0:13:06.520
<v Speaker 6>in the long term is to build and implement the

0:13:06.520 --> 0:13:09.319
<v Speaker 6>systems necessary to power the AI transformation of businesses. So

0:13:09.960 --> 0:13:12.640
<v Speaker 6>pretty bullish on there the consequences. In order to do that,

0:13:12.679 --> 0:13:14.520
<v Speaker 6>we have to make the older systems more efficient. So

0:13:14.520 --> 0:13:17.080
<v Speaker 6>there's actually a spend profile there of trying to densify

0:13:17.160 --> 0:13:20.520
<v Speaker 6>environments and aggregate legacy systems. So the whole space is

0:13:20.600 --> 0:13:25.200
<v Speaker 6>pretty active and looks to be a pretty positive environment

0:13:25.240 --> 0:13:28.320
<v Speaker 6>because without it, without that infrastructure, there is no AI

0:13:28.360 --> 0:13:29.240
<v Speaker 6>future too.

0:13:29.400 --> 0:13:32.320
<v Speaker 4>We're like, what over two years in at least that

0:13:32.440 --> 0:13:34.960
<v Speaker 4>the market, the world, you know, as you always remind us,

0:13:35.000 --> 0:13:37.760
<v Speaker 4>AI nothing new. We do the same thing, but certainly

0:13:37.760 --> 0:13:40.920
<v Speaker 4>the narrative and the discussion changed more than two years ago.

0:13:41.480 --> 0:13:44.320
<v Speaker 4>How has it evolved here in twenty twenty five? What's

0:13:44.400 --> 0:13:45.120
<v Speaker 4>top of mind?

0:13:45.240 --> 0:13:47.319
<v Speaker 3>Yeah, I mean, so we're in year three.

0:13:47.880 --> 0:13:50.720
<v Speaker 6>Year one was experimentation with some tools that people couldn't

0:13:50.720 --> 0:13:52.920
<v Speaker 6>really use for enterprise. Year two was the do it

0:13:52.960 --> 0:13:54.880
<v Speaker 6>yourself here that if you wanted to do it, it was

0:13:54.880 --> 0:13:58.480
<v Speaker 6>a big technical effort. Year three we've now seen lots

0:13:58.520 --> 0:14:00.600
<v Speaker 6>of ISVs, lots of turn key on offering. The most

0:14:00.600 --> 0:14:05.400
<v Speaker 6>importantly companies like de sivvs, independent software vendors people which

0:14:05.400 --> 0:14:08.080
<v Speaker 6>sell you stuff so instead of do it yourself, you

0:14:08.120 --> 0:14:11.000
<v Speaker 6>can actually buy stuff to do AI, which is incredibly important.

0:14:11.040 --> 0:14:12.880
<v Speaker 6>The two things that we need for enterprise adoption are

0:14:13.120 --> 0:14:15.520
<v Speaker 6>one the ability to consume it as a technology as

0:14:15.520 --> 0:14:17.760
<v Speaker 6>opposed to a do it yourself project, which that's actually

0:14:17.760 --> 0:14:20.400
<v Speaker 6>happening now, and the other is a feeling that you're

0:14:20.440 --> 0:14:22.640
<v Speaker 6>not the first mover and because some of us big

0:14:22.680 --> 0:14:24.600
<v Speaker 6>companies have moved first and have gotten to the other

0:14:24.640 --> 0:14:27.680
<v Speaker 6>side of productivity. Now there's archetypes to follow, So so

0:14:27.680 --> 0:14:29.880
<v Speaker 6>I'm pretty bullish about this is a good year in

0:14:29.960 --> 0:14:31.760
<v Speaker 6>terms of expanded enterprise adoption.

0:14:31.880 --> 0:14:33.880
<v Speaker 1>We haven't gone to talk to you since the deep

0:14:33.920 --> 0:14:37.200
<v Speaker 1>Seek news on January twenty seventh that really wiped hundreds

0:14:37.200 --> 0:14:39.600
<v Speaker 1>of billions of dollars from in Vidia's market tap. We're

0:14:39.600 --> 0:14:42.520
<v Speaker 1>down in Vidia about a little over twenty percent since

0:14:42.560 --> 0:14:46.360
<v Speaker 1>the January highs for that company. Are you seeing any

0:14:46.440 --> 0:14:48.440
<v Speaker 1>pullback in this space right now?

0:14:49.280 --> 0:14:53.240
<v Speaker 6>No, in a word, yeah, And the reason for it is, Look,

0:14:53.640 --> 0:14:56.960
<v Speaker 6>you know, deepsek was just another of you know, forty

0:14:57.040 --> 0:15:00.960
<v Speaker 6>years of disruptions that have progressively moved AI forward. You know,

0:15:01.400 --> 0:15:03.280
<v Speaker 6>I was a theory forty years ago, and then we

0:15:03.360 --> 0:15:06.760
<v Speaker 6>invented things and created new technologies and bent the curve

0:15:06.840 --> 0:15:09.360
<v Speaker 6>multiple times to ultimately get to where we are today today.

0:15:09.360 --> 0:15:11.720
<v Speaker 6>There's only two levers that make AI better. One is

0:15:11.760 --> 0:15:13.920
<v Speaker 6>the mips per want of the compute environment. Okay, every

0:15:13.960 --> 0:15:16.440
<v Speaker 6>time in Vidia delivers a new GPU that gets better,

0:15:16.480 --> 0:15:19.000
<v Speaker 6>and the other is algorithmic improvements, which are things like

0:15:19.000 --> 0:15:21.040
<v Speaker 6>deep Seek, and they just they just allow us to

0:15:21.080 --> 0:15:21.960
<v Speaker 6>do things more efficiently.

0:15:22.040 --> 0:15:25.280
<v Speaker 1>So you buy what we know about Deep Seek, Like,

0:15:25.320 --> 0:15:27.720
<v Speaker 1>are you skeptical that they were able to do what

0:15:27.760 --> 0:15:29.440
<v Speaker 1>they did with the resources they had?

0:15:29.560 --> 0:15:30.280
<v Speaker 3>Look, I wasn't.

0:15:30.480 --> 0:15:32.080
<v Speaker 6>I didn't have a front row seat to exactly what

0:15:32.080 --> 0:15:33.920
<v Speaker 6>they did. I look at it as interesting engineering. It

0:15:33.920 --> 0:15:37.360
<v Speaker 6>does look like some novel approaches using some existing technologies. Great,

0:15:37.440 --> 0:15:39.920
<v Speaker 6>we need that and what we've learned from it because

0:15:39.920 --> 0:15:42.280
<v Speaker 6>as an open model is Yeah, there's some interesting techniques

0:15:42.320 --> 0:15:43.840
<v Speaker 6>that other people are going to adopt and guess what

0:15:43.880 --> 0:15:46.240
<v Speaker 6>it's going to make the whole AI industry more efficient.

0:15:46.560 --> 0:15:49.520
<v Speaker 6>If there wasn't kind of insatiable demand in front of us,

0:15:49.560 --> 0:15:52.520
<v Speaker 6>I'd be nervous, But there is. We have barely touched

0:15:52.560 --> 0:15:54.560
<v Speaker 6>the processes of the enterprises in the world, and we

0:15:54.600 --> 0:15:56.040
<v Speaker 6>have millions of them to go after.

0:15:56.200 --> 0:15:58.800
<v Speaker 4>But I do wonder to Tim's point, that does Deep

0:15:58.840 --> 0:16:02.000
<v Speaker 4>Seek make us ref the models or the narrative about

0:16:02.760 --> 0:16:06.480
<v Speaker 4>how the buildout has to happen, the energy needs, this cost,

0:16:06.560 --> 0:16:07.160
<v Speaker 4>whatever it is.

0:16:07.920 --> 0:16:12.280
<v Speaker 6>Yes, just like every other iteration, we're in a world

0:16:12.320 --> 0:16:14.880
<v Speaker 6>Welcome to the AI club. The AI club is a

0:16:15.000 --> 0:16:18.760
<v Speaker 6>pre is an environment where there's constant disruption happening, moving

0:16:18.760 --> 0:16:22.280
<v Speaker 6>the industry forward, and so the novel approaches in Deepseak

0:16:22.280 --> 0:16:24.040
<v Speaker 6>allow us to rethink, Hey, maybe I can do training

0:16:24.080 --> 0:16:26.120
<v Speaker 6>a little more efficiently, Maybe I can do inferencing a

0:16:26.160 --> 0:16:28.920
<v Speaker 6>little more costly. Maybe I can develop a different way

0:16:28.960 --> 0:16:31.200
<v Speaker 6>of thinking about a model. Great, let's adopt that, let's

0:16:31.200 --> 0:16:34.160
<v Speaker 6>build on it, and the next one might be bigger disruption,

0:16:34.240 --> 0:16:36.120
<v Speaker 6>but it'll still move the industry forward.

0:16:36.200 --> 0:16:37.920
<v Speaker 4>Got to ask you about Elon Musk and the government,

0:16:38.120 --> 0:16:42.040
<v Speaker 4>and the goal is to make it more efficient. And

0:16:42.080 --> 0:16:43.640
<v Speaker 4>there's of course a lot of news and a lot

0:16:43.640 --> 0:16:46.600
<v Speaker 4>of headlines around what's going on in terms of what

0:16:46.640 --> 0:16:49.400
<v Speaker 4>we've seen so far. What are your expectations that it

0:16:49.480 --> 0:16:53.320
<v Speaker 4>becomes a more technologically advanced run government.

0:16:53.600 --> 0:16:54.360
<v Speaker 3>Well, well, I think you know.

0:16:54.400 --> 0:16:57.520
<v Speaker 4>I mean we should point out that Dell supplying servers

0:16:58.000 --> 0:16:59.760
<v Speaker 4>to Elon's XAI.

0:17:00.160 --> 0:17:03.160
<v Speaker 6>The government and everybody else in the world. We're very present.

0:17:03.320 --> 0:17:04.280
<v Speaker 2>Yeah, you know.

0:17:04.359 --> 0:17:07.200
<v Speaker 6>Here here's the punchline, elons and technologists. He clearly understands

0:17:07.200 --> 0:17:10.000
<v Speaker 6>the technology stack. The way you improve things, the way

0:17:10.040 --> 0:17:13.360
<v Speaker 6>you get productivity, you do things better, is both the

0:17:13.400 --> 0:17:16.359
<v Speaker 6>improvement of your processes and the application of technology to

0:17:16.440 --> 0:17:19.000
<v Speaker 6>make those processes work more efficiently. Both of those are

0:17:19.000 --> 0:17:20.919
<v Speaker 6>going to happen. I can't tell you exactly what's going

0:17:20.960 --> 0:17:22.240
<v Speaker 6>to happen in the government. I can't tell you what

0:17:22.320 --> 0:17:24.000
<v Speaker 6>play they're going to make. But what I can guarantee

0:17:24.040 --> 0:17:26.639
<v Speaker 6>you as the end state, there will be more technology

0:17:26.760 --> 0:17:29.720
<v Speaker 6>powering our government and our public sector, and it will

0:17:29.720 --> 0:17:33.080
<v Speaker 6>probably make them more efficient and more effective. How it

0:17:33.119 --> 0:17:35.359
<v Speaker 6>works out above that but by pay grade, but it

0:17:35.400 --> 0:17:37.040
<v Speaker 6>is inevitable. The one thing I can guarantee you, there

0:17:37.040 --> 0:17:40.560
<v Speaker 6>won't be less technology in the government when we move

0:17:40.600 --> 0:17:42.120
<v Speaker 6>into the next year or the next two years.

0:17:42.160 --> 0:17:44.359
<v Speaker 1>Listen, I'm asking you this as a technologists somebody who's

0:17:44.359 --> 0:17:46.600
<v Speaker 1>a front row seat on the technology side. Critics have

0:17:46.680 --> 0:17:49.440
<v Speaker 1>said their concerns about security and privacy when it comes

0:17:49.440 --> 0:17:51.560
<v Speaker 1>to what Doje and what Elon Musk are doing.

0:17:51.560 --> 0:17:52.560
<v Speaker 3>Should they be concerned?

0:17:54.400 --> 0:17:58.119
<v Speaker 6>I don't know that's their opinion about Maybe you should

0:17:58.119 --> 0:17:59.959
<v Speaker 6>always be concerned. You should always look at the risk

0:18:00.040 --> 0:18:03.760
<v Speaker 6>give technology. Here's a good example. We're maybe outspoken that

0:18:04.040 --> 0:18:06.560
<v Speaker 6>for the real critical AI activities you should do them

0:18:06.560 --> 0:18:08.679
<v Speaker 6>in a private environment. Some people disagree with us. The

0:18:08.760 --> 0:18:11.680
<v Speaker 6>reason we say that is because that's the lowest risk path.

0:18:11.880 --> 0:18:14.680
<v Speaker 6>It also happens to be the lowest cost path. Every

0:18:14.680 --> 0:18:18.720
<v Speaker 6>technology decision you make is a technology in a vacuum

0:18:18.800 --> 0:18:21.240
<v Speaker 6>until you apply it to a real world scenario, and

0:18:21.240 --> 0:18:21.800
<v Speaker 6>that's where the risk.

0:18:22.040 --> 0:18:24.639
<v Speaker 1>So essentially, what you're saying is if the Department of

0:18:24.680 --> 0:18:29.720
<v Speaker 1>Government efficiency employees are or using AI tools to help

0:18:29.880 --> 0:18:31.760
<v Speaker 1>with their jobs, they should be doing that in an

0:18:31.840 --> 0:18:34.359
<v Speaker 1>environment that is secure, you bet.

0:18:34.440 --> 0:18:37.120
<v Speaker 6>And what that means to them they should figure out.

0:18:37.160 --> 0:18:39.000
<v Speaker 6>But what you shouldn't do is go into an environment

0:18:39.000 --> 0:18:41.679
<v Speaker 6>when you're using technology without contemplating the risk of it.

0:18:41.800 --> 0:18:45.199
<v Speaker 6>I have full confidence that any good technologist, including the

0:18:45.200 --> 0:18:47.520
<v Speaker 6>folks doing that work in the government, are absolutely thinking

0:18:47.520 --> 0:18:49.399
<v Speaker 6>about not just the technology in a vacuum, but the

0:18:49.400 --> 0:18:51.320
<v Speaker 6>fact that when it gets into the real world there

0:18:51.320 --> 0:18:54.080
<v Speaker 6>are security considerations, There are other activities that need to

0:18:54.080 --> 0:18:56.720
<v Speaker 6>be controlled, and you always build a security model into

0:18:56.720 --> 0:19:00.439
<v Speaker 6>your technology architecture. Even lms have security models, agents have

0:19:00.480 --> 0:19:03.240
<v Speaker 6>security models because that's necessary to make them work in

0:19:03.280 --> 0:19:04.280
<v Speaker 6>something like an enterprise.

0:19:04.359 --> 0:19:06.119
<v Speaker 4>How should we be talking about here we are in

0:19:06.160 --> 0:19:09.320
<v Speaker 4>year three, as you said, in terms of this stage

0:19:09.320 --> 0:19:12.199
<v Speaker 4>of AI. Is it a general purpose technology or is

0:19:12.200 --> 0:19:15.160
<v Speaker 4>it going to replace everything? And I don't I'm trying

0:19:15.160 --> 0:19:16.840
<v Speaker 4>to be like lammatory or anything.

0:19:16.840 --> 0:19:18.560
<v Speaker 3>But should we think neither.

0:19:19.320 --> 0:19:21.119
<v Speaker 6>It is general purpose in the sense that we're going

0:19:21.160 --> 0:19:23.880
<v Speaker 6>to see pervasive AI. It's gonna be very hard five

0:19:23.960 --> 0:19:25.720
<v Speaker 6>years from now to find any element of society that

0:19:25.760 --> 0:19:29.640
<v Speaker 6>does not have AI as a partner, a coworker, an enabler.

0:19:30.080 --> 0:19:32.840
<v Speaker 3>That is inevitable. But is it going to replace everything?

0:19:32.840 --> 0:19:33.359
<v Speaker 3>Absolutely not.

0:19:33.480 --> 0:19:36.280
<v Speaker 6>We've already seen this when there's this new technology called

0:19:36.320 --> 0:19:39.400
<v Speaker 6>agents that people are hearing about, right, and what is this? Well,

0:19:39.560 --> 0:19:42.600
<v Speaker 6>the chip between a chat bot, the first generation stuff,

0:19:42.800 --> 0:19:45.120
<v Speaker 6>and an agent is that the chat bot, the human

0:19:45.200 --> 0:19:45.840
<v Speaker 6>was in the loop.

0:19:46.040 --> 0:19:48.400
<v Speaker 3>You were part of the process. In an agent, you're

0:19:48.440 --> 0:19:49.160
<v Speaker 3>still there.

0:19:48.960 --> 0:19:50.919
<v Speaker 6>But you're on the loop, meaning you tell it what

0:19:51.000 --> 0:19:52.719
<v Speaker 6>to do, you decide if it did the right thing.

0:19:52.760 --> 0:19:55.000
<v Speaker 6>You're the boss. There's still a role for a human.

0:19:55.080 --> 0:19:56.880
<v Speaker 6>It's a very important role, and the agents can't work

0:19:56.920 --> 0:19:59.760
<v Speaker 6>without it. But our role in relation to these technologies

0:19:59.800 --> 0:20:02.560
<v Speaker 6>is just naturally going to evolve because the technologies can

0:20:02.600 --> 0:20:03.960
<v Speaker 6>do more of the underlying work.

0:20:04.080 --> 0:20:05.320
<v Speaker 4>John, you know what we want to know? Do we

0:20:05.320 --> 0:20:06.960
<v Speaker 4>have a job going forward? That's what we really want

0:20:07.000 --> 0:20:09.040
<v Speaker 4>to do, John Roth, thank you so much. I'm so

0:20:09.080 --> 0:20:10.960
<v Speaker 4>glad we could catch up with you Global Chief Technology

0:20:11.000 --> 0:20:15.440
<v Speaker 4>Officer Chief AI Officer at Dell Technologies.

0:20:16.720 --> 0:20:20.520
<v Speaker 2>This is the Bloomberg Business Week Podcast. Listen live each

0:20:20.520 --> 0:20:24.280
<v Speaker 2>weekday starting at two pm Eastern on Applecarplay and Android

0:20:24.320 --> 0:20:27.200
<v Speaker 2>Auto with the Bloomberg Business App. You can also listen

0:20:27.280 --> 0:20:30.200
<v Speaker 2>live on Amazon Alexa from our flagship New York station

0:20:30.680 --> 0:20:33.320
<v Speaker 2>Just Say Alexa played Bloomberg eleven thirty.

0:20:34.440 --> 0:20:37.880
<v Speaker 1>Many industris and analysts were made cautious, expecting further market

0:20:37.960 --> 0:20:41.960
<v Speaker 1>volatility and potential corrections, with some predicting a deep correction

0:20:42.240 --> 0:20:42.600
<v Speaker 1>this year.

0:20:42.680 --> 0:20:44.360
<v Speaker 4>Yeah, we'll see what our next guest has to say.

0:20:44.359 --> 0:20:46.320
<v Speaker 4>We have a perfect voice to talk to to really

0:20:46.400 --> 0:20:49.719
<v Speaker 4>understand this environment. Ryan Tolkien is the CEO and CIO

0:20:49.760 --> 0:20:53.920
<v Speaker 4>of the multi strategy hedge fund firm, Huge fun firm.

0:20:54.119 --> 0:20:56.200
<v Speaker 4>Is that what you're meant to say, huge hedge fund.

0:20:57.200 --> 0:20:59.359
<v Speaker 4>It's been one of those kind of days. It's they've

0:20:59.359 --> 0:21:02.879
<v Speaker 4>got what billion dollars in assets under management? Stonefeld Strategic

0:21:02.920 --> 0:21:05.199
<v Speaker 4>Advisors is the firm. It's a little wacky, as you know,

0:21:05.240 --> 0:21:07.920
<v Speaker 4>the news flow. Nice to have you here with us.

0:21:08.160 --> 0:21:10.800
<v Speaker 4>Let's talk the market environment. Interesting to see that stocks

0:21:10.800 --> 0:21:13.159
<v Speaker 4>have bounced back. So how do you make sense of

0:21:13.200 --> 0:21:14.040
<v Speaker 4>a day like this right.

0:21:14.080 --> 0:21:17.560
<v Speaker 3>I've been away from the screens for the last hour. Shots.

0:21:17.680 --> 0:21:19.879
<v Speaker 3>Admittedly this is breaking news to me that stocks have

0:21:20.760 --> 0:21:23.160
<v Speaker 3>fully bounced back, But I think let's take a step

0:21:23.200 --> 0:21:25.560
<v Speaker 3>back for a second. You know, we are forty days

0:21:25.560 --> 0:21:30.239
<v Speaker 3>into a new administration in Washington, and you know, as

0:21:31.040 --> 0:21:33.800
<v Speaker 3>many have discussed, I think this new administration has clearly

0:21:33.800 --> 0:21:37.359
<v Speaker 3>brought uncertainty across a variety of different issues, and whether

0:21:37.760 --> 0:21:42.560
<v Speaker 3>we're talking about several different wars that are happening, you know,

0:21:42.640 --> 0:21:45.960
<v Speaker 3>certainly most notably what's going on in Russia and Ukraine,

0:21:46.920 --> 0:21:50.320
<v Speaker 3>or the tire of situation where we've seemed to be

0:21:50.440 --> 0:21:55.120
<v Speaker 3>creating a bunch of economic warfare with with with partners

0:21:55.160 --> 0:22:01.320
<v Speaker 3>in Canada and Mexico and certainly you know, China. Combine

0:22:01.320 --> 0:22:06.919
<v Speaker 3>that with some of the further uncertainty around, you know,

0:22:07.000 --> 0:22:10.399
<v Speaker 3>around around the economy and interest rates, and it's setting

0:22:10.440 --> 0:22:12.399
<v Speaker 3>up for an environment where certainly the base level of

0:22:12.440 --> 0:22:16.159
<v Speaker 3>volatility is higher, and with the base level of volatility higher,

0:22:16.520 --> 0:22:19.720
<v Speaker 3>ultimately we're going to see more frequent periods where we

0:22:19.760 --> 0:22:22.120
<v Speaker 3>get large sell offs, whether that those be sell offs

0:22:22.119 --> 0:22:24.840
<v Speaker 3>overnight or sell offs in the early morning, and where

0:22:24.880 --> 0:22:28.320
<v Speaker 3>intra day volatility increases. This is now the second consecutive

0:22:28.400 --> 0:22:31.560
<v Speaker 3>day where if you would look at the high point

0:22:31.560 --> 0:22:33.800
<v Speaker 3>of futures relative to the low point of futures, you're

0:22:33.840 --> 0:22:36.800
<v Speaker 3>seeing some very very meaningful moves, and so I expect

0:22:36.800 --> 0:22:39.440
<v Speaker 3>that to continue. I expect that to continue.

0:22:39.080 --> 0:22:41.640
<v Speaker 4>Suggest moves or is it something more fundamentally like, are

0:22:41.640 --> 0:22:42.560
<v Speaker 4>we getting certainty?

0:22:42.720 --> 0:22:47.000
<v Speaker 3>I think it's uncertainty. And when uncertainty exists, ultimately, consumers

0:22:47.000 --> 0:22:49.400
<v Speaker 3>are telling you we're not spending as much. We saw

0:22:49.440 --> 0:22:52.000
<v Speaker 3>that in the retail sales data, we saw that the

0:22:52.040 --> 0:22:56.160
<v Speaker 3>University of Michigan confidence data, and also corporates are telling

0:22:56.200 --> 0:22:58.560
<v Speaker 3>you the uncertainty exists. Some of the big tech companies

0:22:58.760 --> 0:23:01.439
<v Speaker 3>are starting to talk back how much they may do

0:23:01.560 --> 0:23:03.560
<v Speaker 3>in cap x spend. And when you start to see

0:23:03.560 --> 0:23:06.320
<v Speaker 3>those things, the market starts to jitter a bit. And

0:23:06.359 --> 0:23:09.080
<v Speaker 3>when the market starts to jitter a bit and you

0:23:09.160 --> 0:23:11.840
<v Speaker 3>start with an elevated level of gross exposure and an

0:23:11.880 --> 0:23:14.440
<v Speaker 3>elevated level of net exposure, I think you're going to

0:23:14.520 --> 0:23:17.520
<v Speaker 3>start to see more and more of these days where

0:23:17.680 --> 0:23:19.600
<v Speaker 3>we trade in two or two and a half percent

0:23:19.760 --> 0:23:21.960
<v Speaker 3>equity ranges as compared to what we saw for the

0:23:21.960 --> 0:23:23.360
<v Speaker 3>majority of twenty twenty four.

0:23:23.200 --> 0:23:25.200
<v Speaker 1>You said the market's starting to have some jitters. Are

0:23:25.240 --> 0:23:26.600
<v Speaker 1>you starting to have some jitters?

0:23:27.080 --> 0:23:30.400
<v Speaker 3>So as a firm, these kind of markets actually start

0:23:30.400 --> 0:23:32.760
<v Speaker 3>to set up really well for us, and that's because

0:23:33.040 --> 0:23:36.120
<v Speaker 3>we deploy a multi strategy approach where we have certain

0:23:36.160 --> 0:23:40.160
<v Speaker 3>strategies across our business that benefit from the range expansion

0:23:40.200 --> 0:23:44.400
<v Speaker 3>of stocks, that benefit from an elevated level of volatility,

0:23:44.520 --> 0:23:47.240
<v Speaker 3>that ultimately can take advantage of some of the dislocations

0:23:47.480 --> 0:23:50.120
<v Speaker 3>that we're starting to see form. And whether that be

0:23:50.480 --> 0:23:53.080
<v Speaker 3>our macro fixed income business which tends to trade from

0:23:53.080 --> 0:23:57.800
<v Speaker 3>a positively convex long viol standpoint, or our quantitative trading

0:23:57.840 --> 0:24:00.199
<v Speaker 3>business that tends to do better when we start to

0:24:00.200 --> 0:24:03.560
<v Speaker 3>see an increased range in stocks, or even you know,

0:24:03.640 --> 0:24:06.160
<v Speaker 3>parts of our short term trading business businesses that we've

0:24:06.200 --> 0:24:09.320
<v Speaker 3>been running for thirty five years, where are both our

0:24:09.359 --> 0:24:13.600
<v Speaker 3>discretionary and systematic iterations of those strategies tend to benefit

0:24:13.600 --> 0:24:15.600
<v Speaker 3>when we start to see the increases in volatility. And

0:24:15.640 --> 0:24:17.600
<v Speaker 3>so what we're trying to do is we're trying to

0:24:17.640 --> 0:24:20.439
<v Speaker 3>lean more into the strategies that ultimately benefit from higher

0:24:20.560 --> 0:24:23.560
<v Speaker 3>baseline level of volatility and where we need to square

0:24:23.640 --> 0:24:26.520
<v Speaker 3>our portfolio in some of the areas that benefited a

0:24:26.560 --> 0:24:28.760
<v Speaker 3>lot from the environment that we lived in. You know,

0:24:28.800 --> 0:24:32.400
<v Speaker 3>between let's call it January of twenty twenty four through

0:24:32.440 --> 0:24:35.840
<v Speaker 3>Inauguration day of twenty twenty five, you know, we're working

0:24:35.840 --> 0:24:38.320
<v Speaker 3>to reposition those portfolios, and I think we're going to

0:24:38.359 --> 0:24:40.720
<v Speaker 3>have to continue to work to reposition those portfolios because

0:24:40.800 --> 0:24:43.400
<v Speaker 3>I don't think what we're starting to see happen over

0:24:43.440 --> 0:24:46.400
<v Speaker 3>the last forty days is an accident. It's not a surprise,

0:24:46.600 --> 0:24:48.399
<v Speaker 3>and it's probably something that's going to persist for some

0:24:48.400 --> 0:24:49.040
<v Speaker 3>period of time.

0:24:49.160 --> 0:24:51.280
<v Speaker 4>So the opportunity for you, Ryan, is just in the

0:24:51.320 --> 0:24:54.960
<v Speaker 4>actual movement and the volatility, or is it a certain

0:24:55.000 --> 0:24:58.919
<v Speaker 4>asset class that is I don't know, going to actually

0:24:58.920 --> 0:25:01.040
<v Speaker 4>do well opportunitistic in this volatility?

0:25:01.080 --> 0:25:04.719
<v Speaker 3>What is it? Well? Our strategies focused on identifying relative

0:25:04.760 --> 0:25:07.399
<v Speaker 3>value opportunities, and so for us, what we're going to

0:25:07.440 --> 0:25:10.560
<v Speaker 3>look for across asset classes is ultimately where the risk

0:25:10.600 --> 0:25:13.280
<v Speaker 3>premia is most dislocated, and then where that risk premium

0:25:13.320 --> 0:25:15.639
<v Speaker 3>is most dislocated we are going to lean into in

0:25:15.720 --> 0:25:18.080
<v Speaker 3>terms of our risk deployment. And so, you know, the

0:25:18.440 --> 0:25:21.240
<v Speaker 3>benefit of trading across lots of different asset classes and

0:25:21.280 --> 0:25:24.160
<v Speaker 3>having lots of different strategies. Is in certain time periods

0:25:24.160 --> 0:25:26.119
<v Speaker 3>that could be in fixed income, that could be in

0:25:26.119 --> 0:25:28.560
<v Speaker 3>interest rates, that could be in currencies at other times,

0:25:28.560 --> 0:25:30.560
<v Speaker 3>that could be in credit at other times, that could

0:25:30.560 --> 0:25:32.960
<v Speaker 3>be in equities. And so we're starting to see some

0:25:33.119 --> 0:25:35.720
<v Speaker 3>of those cracks form in the equities market. And so

0:25:36.200 --> 0:25:38.680
<v Speaker 3>you know, that's where I would say our focus has been,

0:25:39.040 --> 0:25:40.840
<v Speaker 3>you know, in the very near term, you know, but

0:25:40.920 --> 0:25:44.320
<v Speaker 3>that can shift really quickly, and if FX volatility picks up,

0:25:44.440 --> 0:25:46.600
<v Speaker 3>or we start to see credit spreads widen, you know,

0:25:46.680 --> 0:25:49.359
<v Speaker 3>we will move risk to ultimately where that risk premium

0:25:49.480 --> 0:25:50.600
<v Speaker 3>becomes most dislocated.

0:25:50.720 --> 0:25:51.600
<v Speaker 4>Is it hard to make bets?

0:25:51.600 --> 0:25:51.760
<v Speaker 6>Though?

0:25:51.760 --> 0:25:54.280
<v Speaker 4>In terms of an administration that some that we've had

0:25:54.320 --> 0:25:55.879
<v Speaker 4>on today say, well, you know what, we're going to

0:25:55.960 --> 0:25:58.880
<v Speaker 4>wait on these tariffs because who knows in twenty four

0:25:58.920 --> 0:25:59.720
<v Speaker 4>hours or in a week.

0:26:00.240 --> 0:26:02.520
<v Speaker 3>I think that's the uncertainty that's leading to to the

0:26:02.640 --> 0:26:05.119
<v Speaker 3>jitters that we talked about, because you know, I think,

0:26:05.520 --> 0:26:07.040
<v Speaker 3>you know, one day you'll hear one thing, the next

0:26:07.119 --> 0:26:10.200
<v Speaker 3>day you might hear the opposite. Are these negotiation tactics

0:26:10.240 --> 0:26:11.920
<v Speaker 3>or is he being real? You know? I think these

0:26:11.920 --> 0:26:14.320
<v Speaker 3>are the things that all investors are considering, and I

0:26:14.320 --> 0:26:17.360
<v Speaker 3>think the market's telling you, I don't like that uncertainty.

0:26:17.680 --> 0:26:19.720
<v Speaker 1>Well, but I think we learned today that he's being

0:26:19.760 --> 0:26:23.560
<v Speaker 1>real given what we saw with implemented with Canada and

0:26:23.840 --> 0:26:26.879
<v Speaker 1>Canada and Mexico, so that certainly that jury is not

0:26:26.920 --> 0:26:31.359
<v Speaker 1>out there. Is there an environment that's better or worse

0:26:31.600 --> 0:26:34.320
<v Speaker 1>for your firm, like given that you're multi strat and

0:26:34.320 --> 0:26:37.600
<v Speaker 1>you can kind of thrive in any environment, Like, what's

0:26:37.640 --> 0:26:38.720
<v Speaker 1>a bad environment for you?

0:26:40.400 --> 0:26:44.120
<v Speaker 3>Massive correlation is a bad environment for us. We benefit

0:26:44.160 --> 0:26:48.040
<v Speaker 3>from dispersion. And so when a larger part of the

0:26:48.080 --> 0:26:50.919
<v Speaker 3>moves and individual asset classes can be explained by the

0:26:50.920 --> 0:26:55.240
<v Speaker 3>idiosyncratic components of what makes a stock a stock rather

0:26:55.320 --> 0:26:57.560
<v Speaker 3>than what makes the market the market, those are the

0:26:57.640 --> 0:27:00.959
<v Speaker 3>environments we benefit from. And so ultimately, when all stocks

0:27:01.000 --> 0:27:04.560
<v Speaker 3>are moving because interest rates are moving higher or the

0:27:04.640 --> 0:27:07.320
<v Speaker 3>dollar is moving lower, those are the more challenging and

0:27:07.320 --> 0:27:10.240
<v Speaker 3>more difficult environments. Now, through the years, we've tried to

0:27:10.280 --> 0:27:13.840
<v Speaker 3>layer on certain strategies that actually benefit from those environments

0:27:13.920 --> 0:27:17.160
<v Speaker 3>to try to make our portfolio more you know, all

0:27:17.200 --> 0:27:20.440
<v Speaker 3>weather proof and more battle tested. And so through time,

0:27:20.480 --> 0:27:23.040
<v Speaker 3>I think we've gotten better at being able to navigate

0:27:23.040 --> 0:27:25.199
<v Speaker 3>those environments. But certainly, when I take a step back

0:27:25.240 --> 0:27:28.800
<v Speaker 3>and look at our portfolio, we want environments where dispersion

0:27:28.840 --> 0:27:29.200
<v Speaker 3>is high.

0:27:29.280 --> 0:27:31.120
<v Speaker 4>Data is so important to try and figuring out kind

0:27:31.119 --> 0:27:33.560
<v Speaker 4>of what the environment is where it goes. And I'm

0:27:33.560 --> 0:27:36.280
<v Speaker 4>curious about the kind of data metrics or data sets

0:27:36.320 --> 0:27:38.560
<v Speaker 4>that you guys find are really interesting right now.

0:27:38.720 --> 0:27:42.119
<v Speaker 3>Well, I think the benefit of our organizations. We've been

0:27:42.160 --> 0:27:46.040
<v Speaker 3>around for thirty six years, and so the most few cycles, yeah,

0:27:46.040 --> 0:27:48.160
<v Speaker 3>we've seen a few cycles, and the most valuable data

0:27:48.160 --> 0:27:51.040
<v Speaker 3>sets are ultimately the internal data sets that we've created

0:27:51.320 --> 0:27:53.600
<v Speaker 3>through thirty six years of trading in the markets. And

0:27:53.800 --> 0:27:58.040
<v Speaker 3>they're valuable for two reasons. One they're full of information. Two,

0:27:58.200 --> 0:28:00.359
<v Speaker 3>they're the one type of data set that ultimately cannot

0:28:00.359 --> 0:28:02.720
<v Speaker 3>be replicated or sold to any of our peers or

0:28:02.760 --> 0:28:06.199
<v Speaker 3>competitors who are trying, you know, to to make or

0:28:06.200 --> 0:28:09.240
<v Speaker 3>to compete for alpha in similar spaces as us, and

0:28:09.320 --> 0:28:11.640
<v Speaker 3>so we try to leverage that. But but we ultimately

0:28:11.680 --> 0:28:16.040
<v Speaker 3>need to acquire other data sets and build and build

0:28:16.080 --> 0:28:18.680
<v Speaker 3>other data sets that ultimately are going to be components

0:28:18.680 --> 0:28:21.800
<v Speaker 3>to our strategies, and so we invest a lot of money, time, effort,

0:28:21.880 --> 0:28:25.159
<v Speaker 3>and resource in our data platform uh in terms of

0:28:25.200 --> 0:28:28.119
<v Speaker 3>both our data ingestion efforts, our data cleaning efforts, and

0:28:28.119 --> 0:28:30.520
<v Speaker 3>then ultimately what do we do with that data? How

0:28:30.560 --> 0:28:32.359
<v Speaker 3>do we how do we how do we better put

0:28:32.359 --> 0:28:35.520
<v Speaker 3>the data in the hands of our portfolio managers that

0:28:35.560 --> 0:28:38.600
<v Speaker 3>can actually then make better behavioral decisions because they're being

0:28:38.600 --> 0:28:41.280
<v Speaker 3>informed with reliable data. Is AI part of that equation?

0:28:41.360 --> 0:28:43.720
<v Speaker 1>I interviewed Ben w Rehn of sig Tech earlier today,

0:28:43.760 --> 0:28:45.880
<v Speaker 1>the startup that was spun out of Brevin Howard a

0:28:45.920 --> 0:28:48.400
<v Speaker 1>few years ago, and he creates a product that's that's

0:28:48.480 --> 0:28:52.800
<v Speaker 1>meant to really help quants do their jobs very quickly.

0:28:53.000 --> 0:28:55.440
<v Speaker 3>So I'll say I'll say two things on sort of

0:28:55.600 --> 0:28:58.560
<v Speaker 3>where we're leveraging AI. Number One, we've been running quantitative

0:28:58.560 --> 0:29:02.440
<v Speaker 3>trading strategies for multiple decks. Kids We've been implementing different

0:29:02.440 --> 0:29:05.760
<v Speaker 3>techniques as it relates to machine learning for many many years.

0:29:05.840 --> 0:29:09.200
<v Speaker 3>Right now, the models are consistently getting better, and so

0:29:09.240 --> 0:29:13.240
<v Speaker 3>we are leveraging AI to ultimately make our models better,

0:29:13.240 --> 0:29:15.600
<v Speaker 3>which is ultimately going to make our quant trading strategies better.

0:29:15.720 --> 0:29:18.320
<v Speaker 3>Now everybody is doing that or a lot of people

0:29:18.360 --> 0:29:19.640
<v Speaker 3>are doing that, and so we got to do that

0:29:19.680 --> 0:29:23.120
<v Speaker 3>better than other people. And so that's where ultimately having

0:29:23.160 --> 0:29:25.680
<v Speaker 3>the right talent I think is the name of the game.

0:29:25.720 --> 0:29:28.040
<v Speaker 3>And so yes, AI is changing the way that we

0:29:28.080 --> 0:29:30.240
<v Speaker 3>do things, but it will not be a replacement for

0:29:30.320 --> 0:29:33.640
<v Speaker 3>having really talented quants and really talented people. The second

0:29:33.640 --> 0:29:35.360
<v Speaker 3>thing that I would say is, you know, we are

0:29:35.440 --> 0:29:39.600
<v Speaker 3>leveraging AI ultimately to make sure that we are maximizing

0:29:39.600 --> 0:29:41.880
<v Speaker 3>the amount of time that the valuable people that we

0:29:41.960 --> 0:29:44.560
<v Speaker 3>have are focused on the last mile or the most

0:29:44.600 --> 0:29:47.840
<v Speaker 3>IP sensitive components, toward our trading strategies and toward our

0:29:47.840 --> 0:29:51.320
<v Speaker 3>investment strategies. And so if we can take all the

0:29:51.360 --> 0:29:54.560
<v Speaker 3>parts of the investment process that can be commoditized and

0:29:54.640 --> 0:29:56.680
<v Speaker 3>we can do those things more quickly and more easily

0:29:56.720 --> 0:29:59.000
<v Speaker 3>for our talent, then ultimately we could put ourselves in

0:29:59.040 --> 0:30:01.440
<v Speaker 3>a position where we're spending the maximum amount of time

0:30:01.560 --> 0:30:03.080
<v Speaker 3>in the most IP sensitive areas.

0:30:03.200 --> 0:30:05.360
<v Speaker 4>All right, so what new asset classes or new markets

0:30:05.400 --> 0:30:06.000
<v Speaker 4>look interesting?

0:30:06.920 --> 0:30:09.960
<v Speaker 3>Yeah, So I would say the three core focuses for

0:30:10.120 --> 0:30:14.840
<v Speaker 3>us are expanding our volatility strategies, which we've been trying

0:30:14.880 --> 0:30:16.720
<v Speaker 3>to do over over over the last couple of years,

0:30:17.200 --> 0:30:19.880
<v Speaker 3>where we've been able to acquire some some good talent. Recently,

0:30:20.080 --> 0:30:23.520
<v Speaker 3>I would say number two is expanding and developing our

0:30:23.560 --> 0:30:26.600
<v Speaker 3>Delta one business. This is a business that's existed for many,

0:30:26.600 --> 0:30:30.600
<v Speaker 3>many years inside seal side institutions. Some of that talent

0:30:30.640 --> 0:30:33.280
<v Speaker 3>has started to migrate towards the buyside. We think we

0:30:33.360 --> 0:30:36.360
<v Speaker 3>are a first mover in acquiring some of that talent

0:30:36.480 --> 0:30:39.160
<v Speaker 3>building out businesses as it relates to those strategies. The

0:30:39.200 --> 0:30:41.840
<v Speaker 3>benefit there is it's a great opportunity to see where

0:30:41.920 --> 0:30:45.840
<v Speaker 3>risk premia is most dislocated across a variety of different

0:30:45.880 --> 0:30:49.200
<v Speaker 3>asset classes. And we've built a great team globally to

0:30:49.200 --> 0:30:51.280
<v Speaker 3>be able to do that across you know, probably twenty

0:30:51.360 --> 0:30:53.480
<v Speaker 3>or thirty different markets at this point. And so that's

0:30:53.520 --> 0:30:56.240
<v Speaker 3>a second area of expansion for us. And then lastly,

0:30:56.320 --> 0:30:58.600
<v Speaker 3>it's it's quant trading. And why quant trading is so

0:30:58.720 --> 0:31:02.120
<v Speaker 3>important to us is ultimately the barriers to entry are

0:31:02.160 --> 0:31:05.280
<v Speaker 3>the highest because of the cost of running quant trading businesses,

0:31:05.520 --> 0:31:07.680
<v Speaker 3>because of the amount of capex that needs to continuously

0:31:07.680 --> 0:31:11.040
<v Speaker 3>be poured into quantrating businesses. You know, it is not

0:31:11.080 --> 0:31:13.600
<v Speaker 3>an easy thing to replicate, and so for us, we

0:31:13.720 --> 0:31:15.840
<v Speaker 3>have a first mover advantage. We've been investing in it

0:31:16.040 --> 0:31:18.000
<v Speaker 3>over multiple decades, and so we want to continue to

0:31:18.040 --> 0:31:18.880
<v Speaker 3>lean into our strengths.

0:31:18.960 --> 0:31:20.720
<v Speaker 1>I want to get back to the macro and more

0:31:20.720 --> 0:31:23.840
<v Speaker 1>of what we've heard from Washington. We do expect the

0:31:23.840 --> 0:31:28.000
<v Speaker 1>President tonight in his joints, in his address to Congress

0:31:28.080 --> 0:31:32.440
<v Speaker 1>to probably talk about the economy a lot. I'm guessing

0:31:32.760 --> 0:31:34.400
<v Speaker 1>we don't know what he's going to say at this point.

0:31:34.760 --> 0:31:36.640
<v Speaker 1>We know he likes part of the uncertainty. That's sort

0:31:36.880 --> 0:31:39.480
<v Speaker 1>that is part of the uncertainty and molatility to But

0:31:39.600 --> 0:31:41.680
<v Speaker 1>if you think about the you know, what many would

0:31:41.680 --> 0:31:45.040
<v Speaker 1>describe as pro growth policies coming from this president at

0:31:45.080 --> 0:31:47.920
<v Speaker 1>least his agenda, would you say that those, if they

0:31:47.960 --> 0:31:52.000
<v Speaker 1>are enacted outweigh the uncertainty of tariffs.

0:31:51.840 --> 0:31:53.560
<v Speaker 3>It's a good question, and I think that's what the

0:31:53.600 --> 0:31:55.880
<v Speaker 3>market's trying to debate. And the reason we're probably not

0:31:56.000 --> 0:31:59.280
<v Speaker 3>down more as it relates to the broader market indices

0:31:59.320 --> 0:32:01.800
<v Speaker 3>is because I think people are having that debate, you know,

0:32:01.880 --> 0:32:05.520
<v Speaker 3>in their investment committees and in their boardrooms. And I

0:32:05.560 --> 0:32:07.240
<v Speaker 3>think there's a lot of value behind some of the

0:32:07.280 --> 0:32:11.600
<v Speaker 3>deregulation policies that are ultimately coming out of Washington. We

0:32:11.720 --> 0:32:14.040
<v Speaker 3>have a president where he wakes up in the morning

0:32:14.040 --> 0:32:15.880
<v Speaker 3>and the first thing he does is he looks at

0:32:15.920 --> 0:32:19.200
<v Speaker 3>equity futures, and I think a big part of his

0:32:19.360 --> 0:32:22.280
<v Speaker 3>mood is ultimately informed by what are equity future is doing.

0:32:22.320 --> 0:32:24.680
<v Speaker 3>And so to some extent, I think it's fair to

0:32:24.680 --> 0:32:26.960
<v Speaker 3>say that we have a put that is sitting below

0:32:27.000 --> 0:32:30.080
<v Speaker 3>the market, given how much the president utilizes the market

0:32:30.280 --> 0:32:32.440
<v Speaker 3>as a gauge of how the country is doing, and

0:32:32.520 --> 0:32:35.800
<v Speaker 3>so given that, I think when you start to see

0:32:35.840 --> 0:32:38.320
<v Speaker 3>the equity market respond in the way in which it has,

0:32:38.560 --> 0:32:40.800
<v Speaker 3>I do think that through time, you will start to

0:32:40.800 --> 0:32:45.160
<v Speaker 3>see the narrative shift from the president toward more pro

0:32:45.200 --> 0:32:49.160
<v Speaker 3>growth policies, toward policies he thinks will ultimately promote the

0:32:49.280 --> 0:32:53.440
<v Speaker 3>long term sustainability of the US economy. But he balances

0:32:53.480 --> 0:32:55.600
<v Speaker 3>those things and he doesn't like to find himself, you know,

0:32:55.680 --> 0:32:58.320
<v Speaker 3>too far left or too far right, you know, as

0:32:58.320 --> 0:33:00.720
<v Speaker 3>it relates to that. And so I think we're going

0:33:00.760 --> 0:33:02.600
<v Speaker 3>to continue to see a lot of noise, and I

0:33:02.640 --> 0:33:05.160
<v Speaker 3>think that noise is going to create Also, I mentioned

0:33:05.160 --> 0:33:07.120
<v Speaker 3>a floor or maybe a put that exists, but I

0:33:07.200 --> 0:33:09.600
<v Speaker 3>also think that probably creates a cap on where equity

0:33:09.600 --> 0:33:10.720
<v Speaker 3>prices can move in the near term.

0:33:10.800 --> 0:33:12.000
<v Speaker 4>So do you think the first half of the year

0:33:12.040 --> 0:33:13.480
<v Speaker 4>is going to be very different from the second half

0:33:13.520 --> 0:33:16.440
<v Speaker 4>of the year because of everything that's coming out washed.

0:33:16.240 --> 0:33:17.480
<v Speaker 3>The first half of the year is going to be

0:33:17.480 --> 0:33:19.760
<v Speaker 3>really bumpy. I think what the market is already telling

0:33:19.840 --> 0:33:23.320
<v Speaker 3>us is we're tired. We're tired of executive action, we're

0:33:23.360 --> 0:33:26.440
<v Speaker 3>tired of executive orders, we're tired of hearing about tiraffs

0:33:26.480 --> 0:33:28.800
<v Speaker 3>in all of these different countries. And I think with that,

0:33:29.680 --> 0:33:31.360
<v Speaker 3>you know, I think we're going to see a market

0:33:31.400 --> 0:33:34.800
<v Speaker 3>where we're seeing more volatility. And then I think it's

0:33:34.800 --> 0:33:37.440
<v Speaker 3>going to be how does the economy ultimately expand we

0:33:37.520 --> 0:33:41.360
<v Speaker 3>have to balance some of the challenges of stagflation with

0:33:41.480 --> 0:33:43.400
<v Speaker 3>some of the challenges of how do we continue to

0:33:43.440 --> 0:33:47.000
<v Speaker 3>make sure that we're maintaining growth throughout the first half

0:33:47.040 --> 0:33:48.320
<v Speaker 3>of the year, And so the market in the second

0:33:48.400 --> 0:33:50.400
<v Speaker 3>half of the year is going to be highly highly

0:33:50.440 --> 0:33:52.600
<v Speaker 3>dependent on how well ad job we do at balancing

0:33:52.640 --> 0:33:53.440
<v Speaker 3>those two factors.

0:33:53.480 --> 0:33:55.600
<v Speaker 1>Hey, just a little bit of time left and wanted

0:33:55.600 --> 0:33:58.000
<v Speaker 1>to touch on crypto. Speaking of volatility, how do you

0:33:59.040 --> 0:34:01.120
<v Speaker 1>do crypto at the sure.

0:34:00.920 --> 0:34:05.440
<v Speaker 3>So we are in the digital currency space, we do

0:34:05.480 --> 0:34:08.399
<v Speaker 3>trade crypto. We don't have a directional view on where

0:34:08.480 --> 0:34:11.880
<v Speaker 3>crypto is going, but there are certain types of opportunities

0:34:12.120 --> 0:34:14.840
<v Speaker 3>that have come about by the creation of new crypto products,

0:34:15.320 --> 0:34:17.680
<v Speaker 3>whether that be some of the new ETFs, the ability

0:34:17.719 --> 0:34:21.240
<v Speaker 3>to trade futures, the expanding ability to trade futures across

0:34:21.800 --> 0:34:25.920
<v Speaker 3>a larger amount of digital currencies creates opportunities for us,

0:34:25.920 --> 0:34:28.560
<v Speaker 3>and so we have started to deploy capital and some

0:34:28.600 --> 0:34:30.720
<v Speaker 3>of the basis trades that I think have been written

0:34:30.760 --> 0:34:34.880
<v Speaker 3>about a fair bit. We have worked closely and partnered

0:34:35.120 --> 0:34:37.640
<v Speaker 3>with the banks as it relates to how we can

0:34:37.680 --> 0:34:41.080
<v Speaker 3>deploy our balance sheet around some of those strategies. We

0:34:41.160 --> 0:34:44.960
<v Speaker 3>are thinking through how we can expand our digital currency

0:34:45.000 --> 0:34:49.080
<v Speaker 3>trading strategies more broadly. Today it's still a relatively small

0:34:49.120 --> 0:34:51.359
<v Speaker 3>percent of our risk capital, but it's something that if

0:34:51.360 --> 0:34:53.080
<v Speaker 3>you ask me over the next two or three years,

0:34:53.440 --> 0:34:56.239
<v Speaker 3>based off of a combination of what I think we'll

0:34:56.239 --> 0:34:59.680
<v Speaker 3>see from a regulatory policy perspective with a combination of

0:34:59.680 --> 0:35:01.239
<v Speaker 3>what I think we'll see from a market structure of

0:35:01.280 --> 0:35:04.880
<v Speaker 3>market participant perspective, will likely become a greater percent of

0:35:04.880 --> 0:35:07.560
<v Speaker 3>the risk of the portfolio than it is today, but

0:35:07.640 --> 0:35:10.320
<v Speaker 3>it will still be one of many strategies we deploy

0:35:10.320 --> 0:35:11.000
<v Speaker 3>a chunfold pair.

0:35:11.000 --> 0:35:12.440
<v Speaker 4>Amount of volatility there too.

0:35:12.640 --> 0:35:14.520
<v Speaker 3>Certainly, but again I think that's part of what creates

0:35:14.520 --> 0:35:15.920
<v Speaker 3>the opportunity. Brian, thank you so much.

0:35:16.000 --> 0:35:18.480
<v Speaker 4>Ryan Tolkien of shone Felt CEO and CIO.

0:35:18.960 --> 0:35:23.799
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0:35:23.920 --> 0:35:27.640
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0:35:27.680 --> 0:35:31.719
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0:35:31.760 --> 0:35:35.640
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0:35:35.880 --> 0:35:38.799
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