WEBVTT - Hedge Funds, Eco, and AI

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<v Speaker 2>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney. Alongside

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<v Speaker 2>my co host Matt Miller.

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<v Speaker 1>Every business day we bring you interviews from CEOs, market pros,

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<v Speaker 1>and Bloomberg experts, along with essential market moven News.

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<v Speaker 2>Find the Bloomberg Markets Podcast called Apple Podcasts or wherever

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<v Speaker 2>you listen to podcasts, and at Bloomberg dot Com slash

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<v Speaker 2>podcast catch funds. You know them, you love them? How

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<v Speaker 2>is performance in twenty twenty three? What to look for

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<v Speaker 2>in twenty twenty four? Elana Weinstein Joints and she's the

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<v Speaker 2>founder and CEO of the IDW Group and Bloomberg. Shanali Basset,

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<v Speaker 2>who covers all of Wall Street, joins, is how cool

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<v Speaker 2>is that Shanale that talks in hedge funds.

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<v Speaker 3>I've been waiting to have this conversation all week because

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<v Speaker 3>what a weird year, Paul in hedge funds, and Alana

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<v Speaker 3>is so plugged into this universe. Let's talk about performance first, though,

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<v Speaker 3>because what's stunning is you've seen this massive melt up

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<v Speaker 3>in markets, and the hedge funds, by and large across

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<v Speaker 3>the industry really have not kept up. Bloomberg's All Hedge

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<v Speaker 3>Index is only up about four point eight percent through

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<v Speaker 3>the year so far, and the multi strategies are supposed

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<v Speaker 3>to be the kings of the castle here are only

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<v Speaker 3>up less than three percent on the year. Alana, what's

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<v Speaker 3>going on?

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<v Speaker 4>Okay, So let me unpack those numbers. First off, the

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<v Speaker 4>hedge fund index, I think, is a blend of everything,

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<v Speaker 4>So we need to kind of go strategy by strategy

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<v Speaker 4>to really pull out what the themes are. Long short equities,

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<v Speaker 4>which had a really tough twenty one and twenty two. Finally,

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<v Speaker 4>Shanali had performance. I am please to sit here and

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<v Speaker 4>say something positive, which I have not been able to do.

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<v Speaker 4>For the last couple of years, those funds, which are

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<v Speaker 4>a big percentage of the hedge fund universe, the directional

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<v Speaker 4>concentrated Tiger cubs and similar are up as much as

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<v Speaker 4>twenty percent, thirty percent, even forty percent. The issue there,

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<v Speaker 4>which is really important is even though they're up that much,

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<v Speaker 4>they still have for the most part, an enormous high

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<v Speaker 4>watermark to have to get out of. And let's just

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<v Speaker 4>say it's a fund that's up thirty five percent this year. Okay,

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<v Speaker 4>you may think, and they were down about fifty percent

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<v Speaker 4>between twenty one and twenty two. You may think, okay,

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<v Speaker 4>ye'ar one this year, up thirty five they can get

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<v Speaker 4>out of that remaining fifteen or twenty next year and

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<v Speaker 4>then it's smooth sailing. But the reality is their AUM

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<v Speaker 4>maybe was thirteen billion at the beginning of twenty one,

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<v Speaker 4>it's six and a half billion now, So that thirty

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<v Speaker 4>five percent is on a much smaller base of capital,

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<v Speaker 4>and it's actually as a result, so there may very

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<v Speaker 4>much fewer dollars made than it would have been had

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<v Speaker 4>they made that money back up before they had the losses,

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<v Speaker 4>And as a result, there's really another sixty five percent

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<v Speaker 4>to go, So that's a huge headwind for that strategy.

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<v Speaker 3>How much more excitement is there around the industry, especially

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<v Speaker 3>because many of them have not met the market performance still,

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<v Speaker 3>and so even if they're up, they have two issues

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<v Speaker 3>here to your point the high water mark and the

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<v Speaker 3>issue is you could just invest in the S and

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<v Speaker 3>B or the Nasdaq or even the socks up sixty

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<v Speaker 3>five percent this year, how does that set them up

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<v Speaker 3>into appetite investor appetite for new hedge fund allocations next year.

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<v Speaker 4>Let me also touch on the multi managers which you cited.

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<v Speaker 4>It is true that blended it's not a great result,

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<v Speaker 4>but unpacking that, there's a lot of dispersion in that result.

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<v Speaker 4>If you look at the more established multi managers that

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<v Speaker 4>have been around a while and have built a mouse

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<v Speaker 4>trap that is very difficult to compete with. Fun like

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<v Speaker 4>Citadel leading the pack up fifteen percent, which is a

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<v Speaker 4>very different number than what you cited, or Millennium point

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<v Speaker 4>seventy two up double digits, and then the rest are struggling,

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<v Speaker 4>and that has a lot to do. So when we

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<v Speaker 4>to answer your question LP appetite, you know, the reality

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<v Speaker 4>is the reason the other multi managers grew so quickly

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<v Speaker 4>is because the more established players were either closed or

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<v Speaker 4>very deliberate about how they grew. And if you can't

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<v Speaker 4>allocate to the more established guys, or at least not

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<v Speaker 4>at the level you'd like, then you end up pouring

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<v Speaker 4>money into all these other funds that grew in the

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<v Speaker 4>last two years hand over fist. And when I say quickly,

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<v Speaker 4>I mean between three and eight x. Think about that

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<v Speaker 4>over a twenty four to thirty six month period. It

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<v Speaker 4>is very difficult to deploy that kind of capital growth

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<v Speaker 4>and hire a winning team. In order to do that,

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<v Speaker 4>talent is really fugual to hire and attract. No one

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<v Speaker 4>knows that better than myself and my team, and so

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<v Speaker 4>you can't get from one billion to eight billion, hire

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<v Speaker 4>one hundred and fifty pms and expect a great result.

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<v Speaker 4>There's a lot more that goes into this.

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<v Speaker 5>Okay, well, let's talk about talent, because I feel like

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<v Speaker 5>it was, you know, pandemic era where all we were

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<v Speaker 5>talking about was the competition to talent and compensation wars

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<v Speaker 5>who can offer the best starting salaries and the biggest bonuses.

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<v Speaker 5>We know that it has been a more difficult year

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<v Speaker 5>in terms of actually people getting paid, and we're probably

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<v Speaker 5>finding that out here at the tail end of the year.

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<v Speaker 5>So what is your view here on compensation and how

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<v Speaker 5>these firms are making themselves attractive.

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<v Speaker 4>I think compensation kind of falls into one of two buckets.

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<v Speaker 4>It's either formulaic and for example, if you're at a

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<v Speaker 4>multi manager with a pass through, you know exactly what

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<v Speaker 4>you're getting paid. There's no mystery there. Or you're at

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<v Speaker 4>a fund which is like a single manager, where if

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<v Speaker 4>you're a senior person, you have points in the fund

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<v Speaker 4>and then there's maybe a jump ball with respect to

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<v Speaker 4>being able to reward you on top of that, but

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<v Speaker 4>to the extent it's a fund that has a high

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<v Speaker 4>high water mark. No, there hasn't been a performance fee,

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<v Speaker 4>for example, the long short equity managers in twenty one

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<v Speaker 4>for the most part, there wasn't one in twenty two,

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<v Speaker 4>and even though they put up this incredible performance in

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<v Speaker 4>twenty three, they don't have a performance fee with which

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<v Speaker 4>to pay those people. And so to answer your question,

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<v Speaker 4>I think there's going to be a lot more frustration

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<v Speaker 4>this year than there even has been the last couple

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<v Speaker 4>of years. Those people are going to get paid more

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<v Speaker 4>because the manager is going the founder is going to

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<v Speaker 4>feel he or she needs to reach more deeply into

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<v Speaker 4>the management fee to pay them. But when you're someone

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<v Speaker 4>who's put up hundreds of millions of dollars, even billions

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<v Speaker 4>of dollars, the dispersion between what you're actually going to

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<v Speaker 4>get paid this year and what you've produced is going

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<v Speaker 4>to be very frustrating versus in previous Here is where

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<v Speaker 4>there wasn't performance for the fund. I didn't put up

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<v Speaker 4>performance as an individual, So whatever I get paid, I'm

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<v Speaker 4>kind of okay with because that's the ethos of this industry.

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<v Speaker 4>It's paid for performance. Now I've put up tremendous performance,

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<v Speaker 4>and my founder isn't really paying me something that feels

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<v Speaker 4>in any way proportionate to what I should get paid.

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<v Speaker 4>And I want to also highlight as much as some

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<v Speaker 4>of these funds lost a significant amount of AUM, we're

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<v Speaker 4>still talking about falls from Grace of thirty billion to

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<v Speaker 4>twenty billion, or in the case of Tiger Global, one

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<v Speaker 4>hundred billion to fifty five billion. But think about the

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<v Speaker 4>management fee. On fifty five billion, that's still a billion

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<v Speaker 4>of fees, or on twenty billion, that's four hundred million

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<v Speaker 4>of fees. So and these teams are relatively lean, particularly

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<v Speaker 4>at senior levels, and everyone knows that. So it's it's early,

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<v Speaker 4>still a visa vcamp. But what we're hearing, even though

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<v Speaker 4>the number is better, is an increased level of frustration,

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<v Speaker 4>and I think there's going to be more vulnerability at

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<v Speaker 4>these funds as a result.

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<v Speaker 2>When I left the street in the mid two thousands,

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<v Speaker 2>I studied long and hard about whether to transition to

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<v Speaker 2>the hedge fund business. And what I concluded then was

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<v Speaker 2>that long short equity, no alpha left done game had

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<v Speaker 2>been played out, so I can go Bloomberg.

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<v Speaker 4>So my question is how lucky we are?

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<v Speaker 2>And I was absolutely correct that the numbers bear that out.

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<v Speaker 2>My question is if I'm a really good trader, I

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<v Speaker 2>don't know, bonds, currency, something at Morgan, Stanle There, Goldman, Sachs.

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<v Speaker 2>Back in the day, I could just leave and go

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<v Speaker 2>raise a couple of billion dollars and then boom. That

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<v Speaker 2>was my path. Does that still exist or does a

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<v Speaker 2>lot of the new money coming into hedge funds go

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<v Speaker 2>to the point seventy two's and the citadels.

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<v Speaker 6>Well.

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<v Speaker 4>As I said earlier, some of those established managers are

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<v Speaker 4>closed or very carefully accepting new capital. I believe me,

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<v Speaker 4>there's a line around the block to allocate to those.

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<v Speaker 4>But two things. One the days of leaving the cell

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<v Speaker 4>side to go start a hedge fund, I think you'd

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<v Speaker 4>have to be completely nuts to try to attempt to

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<v Speaker 4>do that. Good luck getting a job at a hedge

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<v Speaker 4>fund period, because you've spent all this time on the

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<v Speaker 4>cell side and back in the day. Sorry not to

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<v Speaker 4>age you, but we got there. You could take risks,

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<v Speaker 4>sure right, you could take risk. You can't do that

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<v Speaker 4>post the financial crisis. So if you're still sitting on

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<v Speaker 4>the cell side, the reality is you're in more of

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<v Speaker 4>a managerial role than you are a risk taking role.

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<v Speaker 4>At a senior level, I think it's candidly become more

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<v Speaker 4>difficult to even launch coming from most hedge funds. Now,

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<v Speaker 4>coming from a top flight hedge fund which has a

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<v Speaker 4>great established track record and is doing well today, that's

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<v Speaker 4>exciting to LPs, but that group of funds has become

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<v Speaker 4>fewer and fewer. And yes, coming out of a fund

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<v Speaker 4>like a Citadel or a point seventy two sets you

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<v Speaker 4>up in good stead to be able to launch successfully,

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<v Speaker 4>But think about coming out of some of the tiger

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<v Speaker 4>cubs are related now that are still well below their

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<v Speaker 4>high water mark. That's not exactly an exciting value proposition

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<v Speaker 4>to Lpece to say, oh, I'm going to be different,

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<v Speaker 4>you know, and don't worry about the last twenty one

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<v Speaker 4>and twenty two. You know, we're doing better now and

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<v Speaker 4>my approach to risk management and managing volatility is better

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<v Speaker 4>than what you've experienced.

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<v Speaker 3>Also em bettered in Paul's question here is there's a

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<v Speaker 3>long short equation has been doing better, but macro has

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<v Speaker 3>been such an exciting prospect. Currencies, fixed income, the interest

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<v Speaker 3>rate environment so drastically changing. When you're looking at the

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<v Speaker 3>types of managers. How much is the macro story part

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<v Speaker 3>of twenty twenty four and what does that mean for

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<v Speaker 3>the talent story.

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<v Speaker 4>That's a good question, Shanali, because every year I feel

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<v Speaker 4>like it's a different story in macro. Twenty two is great,

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<v Speaker 4>twenty three has not been so great, So we'll see

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<v Speaker 4>what twenty four holds. It's a strategy which embodies as

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<v Speaker 4>we've seen a lot of volatility, so I think it's

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<v Speaker 4>TBD in terms of how they will perform. And you know,

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<v Speaker 4>talent follows where there is an ecosystem which can navigate

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<v Speaker 4>that volatility best.

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<v Speaker 2>We're now in an environment, an entry environment that haven't

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<v Speaker 2>been in a long time where rates went up so

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<v Speaker 2>much now they're going to be coming down. Is there

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<v Speaker 2>a feeling within the hedge fund community that certain strategies

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<v Speaker 2>are going to work better in twenty four than maybe

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<v Speaker 2>the past couple of years.

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<v Speaker 4>Well, I think the reality is the uh, you know,

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<v Speaker 4>the bar has gone up in terms of not just

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<v Speaker 4>just the market environment, but also what LPs expect for

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<v Speaker 4>what they're paying. And it's really the focus is of

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<v Speaker 4>course on alpha and running in a way which neutralizes

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<v Speaker 4>a lot of the market risk inherent right, that has

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<v Speaker 4>whip sawed a lot of the return for funds. Factor

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<v Speaker 4>rotations really has obscured great fundamental stock picking and so

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<v Speaker 4>being somewhere which can isolate what is value, growth, momentum,

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<v Speaker 4>macro cross currents and hedge those things out so that

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<v Speaker 4>great idiosyncratic alpha driven stock picking can shine through. That

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<v Speaker 4>that's the most important thing, because then it doesn't matter

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<v Speaker 4>what the market's doing.

0:12:14.120 --> 0:12:14.280
<v Speaker 2>You know.

0:12:14.559 --> 0:12:17.240
<v Speaker 3>Interestingly, I want to comment on something you had talked

0:12:17.280 --> 0:12:19.280
<v Speaker 3>about a little earlier. We were talking about the success of

0:12:19.440 --> 0:12:21.840
<v Speaker 3>sit it out in multi strat but it's also worth

0:12:21.880 --> 0:12:25.120
<v Speaker 3>talking about the undertone of the other side of that story.

0:12:25.160 --> 0:12:28.959
<v Speaker 3>You had mentioned that some firms grew so fast, so quickly,

0:12:29.360 --> 0:12:31.880
<v Speaker 3>and the poster child of that this year was really

0:12:31.920 --> 0:12:34.680
<v Speaker 3>Sean Feld. This idea that a lot of money was pulled,

0:12:34.720 --> 0:12:37.480
<v Speaker 3>billions of dollars was pulled from the firm. You know,

0:12:37.520 --> 0:12:40.000
<v Speaker 3>they really had to look to raise capital to really

0:12:40.080 --> 0:12:43.920
<v Speaker 3>fill that whole. They even considered merging with another large

0:12:44.040 --> 0:12:49.120
<v Speaker 3>multi strategy firm. Is Seanfeld alone? Is there other struggles

0:12:49.200 --> 0:12:51.320
<v Speaker 3>that we're seeing in firms like Schonfeld and how does

0:12:51.320 --> 0:12:52.400
<v Speaker 3>that play out into next year?

0:12:52.440 --> 0:12:52.840
<v Speaker 7>Totally?

0:12:53.240 --> 0:12:56.079
<v Speaker 4>You know, all these funds that grew so quickly, whether

0:12:56.960 --> 0:12:59.920
<v Speaker 4>I mean, I'm just not to just to talk about

0:13:00.040 --> 0:13:04.480
<v Speaker 4>who's grown hand over fist. These funds are multiples aum

0:13:04.559 --> 0:13:08.079
<v Speaker 4>wise where they were even two years ago. Lmr Hudson

0:13:08.120 --> 0:13:13.120
<v Speaker 4>Bay sinctive Schoenfeld, as you mentioned, fruition, and you can't

0:13:13.120 --> 0:13:15.920
<v Speaker 4>do that. You have to be far more deliberate with

0:13:16.000 --> 0:13:18.600
<v Speaker 4>respect to thinking about what is the end state, how

0:13:18.600 --> 0:13:22.359
<v Speaker 4>many pms do I want so that I can maximize

0:13:22.360 --> 0:13:27.679
<v Speaker 4>idea generation and minimize crowding risk and then execute against

0:13:27.679 --> 0:13:31.560
<v Speaker 4>that and only grow as you've been able to attract talent,

0:13:31.720 --> 0:13:34.560
<v Speaker 4>and I don't mean bodies, I mean talent, and talent

0:13:34.720 --> 0:13:39.360
<v Speaker 4>always has options, right if you're that good. The reality is,

0:13:40.440 --> 0:13:44.160
<v Speaker 4>as one of those multimanagers that grew very quickly, you're

0:13:44.280 --> 0:13:47.760
<v Speaker 4>up against the Citadels, the point seventy two's, the Ballyasns

0:13:47.800 --> 0:13:50.520
<v Speaker 4>of this world, the millenniums competing for those people. So

0:13:50.640 --> 0:13:54.640
<v Speaker 4>what are you offering that's really a differentiated value proposition?

0:13:54.960 --> 0:13:56.840
<v Speaker 4>And when I hear of a fund and this is

0:13:56.880 --> 0:14:00.000
<v Speaker 4>an actual fund that grew eight x in that period

0:14:00.240 --> 0:14:02.840
<v Speaker 4>and hired and is now has one hundred and fifty

0:14:02.880 --> 0:14:06.480
<v Speaker 4>pms with no real team underneath any of those pms

0:14:06.960 --> 0:14:10.120
<v Speaker 4>and the pms they attracted or really science experiments. Most

0:14:10.160 --> 0:14:12.760
<v Speaker 4>of them have not been pms before, don't know how

0:14:12.760 --> 0:14:15.720
<v Speaker 4>to run risk in a market neutral model, and there's

0:14:15.760 --> 0:14:18.160
<v Speaker 4>no real resources at the firm to make them better.

0:14:18.520 --> 0:14:21.760
<v Speaker 4>That's a recipe for disaster. And what we've learned is

0:14:22.160 --> 0:14:26.560
<v Speaker 4>being a successful multi manager is not as simple as capital,

0:14:26.760 --> 0:14:29.920
<v Speaker 4>a pass through and PMS. It is far more nuanced

0:14:29.960 --> 0:14:30.320
<v Speaker 4>than that.

0:14:31.240 --> 0:14:33.240
<v Speaker 5>All right, really great to have you join us today,

0:14:33.240 --> 0:14:35.920
<v Speaker 5>Alana and Shanali Basik as well. Thank you so much.

0:14:35.960 --> 0:14:44.200
<v Speaker 5>We really appreciated. Alana Einstein there from IWDIDW group. It's

0:14:44.200 --> 0:14:46.200
<v Speaker 5>the holiday week, guys, We're almost through it. We're like

0:14:46.240 --> 0:14:48.560
<v Speaker 5>almost at the end of the year. Thank you very much.

0:14:50.120 --> 0:14:53.960
<v Speaker 8>You're listening to the Team Can't Live program Bloomberg Markets

0:14:54.000 --> 0:14:57.080
<v Speaker 8>weekdays at ten am Eastern on Bloomberg dot Com, the

0:14:57.160 --> 0:15:01.160
<v Speaker 8>iHeartRadio app, and the Bloomberg Business app non demand wherever

0:15:01.200 --> 0:15:02.360
<v Speaker 8>you get your podcasts.

0:15:04.120 --> 0:15:07.880
<v Speaker 2>I want to pivot to Cam Harvey. He's professor finance

0:15:07.960 --> 0:15:11.360
<v Speaker 2>at the Fuqua School of Business at Duke University, my

0:15:11.480 --> 0:15:14.520
<v Speaker 2>alma mater. I took a couple classes from Professor Harvey.

0:15:14.560 --> 0:15:17.760
<v Speaker 2>I survived. I'm proud to say I can't claim any

0:15:17.920 --> 0:15:21.480
<v Speaker 2>more success than survival, but some good stuff there. Hey, Cam,

0:15:21.560 --> 0:15:23.600
<v Speaker 2>I look at the ten year treasury. I mean, I'm

0:15:23.600 --> 0:15:25.440
<v Speaker 2>not a bond guy, but I mean, just a couple

0:15:25.480 --> 0:15:27.800
<v Speaker 2>of coffee ago, the ten year treasury was at five percent.

0:15:27.840 --> 0:15:30.840
<v Speaker 2>Now we're at three point eighty two percent. What's going

0:15:30.880 --> 0:15:31.440
<v Speaker 2>on out there?

0:15:32.880 --> 0:15:36.240
<v Speaker 9>Yeah, So it overall is very good news that that

0:15:36.320 --> 0:15:41.520
<v Speaker 9>rate has gone down, and I think that that investors

0:15:41.560 --> 0:15:46.960
<v Speaker 9>and consumers have revised their expectations of inflation and this

0:15:47.000 --> 0:15:49.960
<v Speaker 9>is good news. So it means that the Fed has

0:15:50.000 --> 0:15:53.760
<v Speaker 9>stopped and is now talking about decreasing rates, and that

0:15:53.920 --> 0:15:58.200
<v Speaker 9>pressure on the long term rates seems to abate it.

0:15:59.040 --> 0:16:03.800
<v Speaker 2>So I mean the market's pricing in multiple rate cuts

0:16:04.120 --> 0:16:07.000
<v Speaker 2>for twenty twenty forty. I think the market's maybe a

0:16:07.000 --> 0:16:09.080
<v Speaker 2>little over at skis here or is that something that

0:16:09.120 --> 0:16:10.360
<v Speaker 2>the Fed should be considering?

0:16:12.400 --> 0:16:12.680
<v Speaker 6>Well?

0:16:13.920 --> 0:16:16.160
<v Speaker 9>Last time, Ozon I was making the case that the

0:16:16.600 --> 0:16:21.440
<v Speaker 9>cuts should have begun in twenty twenty three. So the

0:16:21.520 --> 0:16:25.440
<v Speaker 9>Fed overshot by pushing the short rates up so high.

0:16:26.200 --> 0:16:30.400
<v Speaker 9>And the sooner that they take down some of these cuts,

0:16:30.480 --> 0:16:34.240
<v Speaker 9>the better, because it does cause a lot of stress

0:16:34.320 --> 0:16:39.280
<v Speaker 9>in our economy, and that stress is unnecessary given that inflation,

0:16:39.720 --> 0:16:43.360
<v Speaker 9>according to my calculations, is running well below two percent.

0:16:43.600 --> 0:16:46.720
<v Speaker 10>And professor, let's dig into those calculations because they're fascinating.

0:16:46.760 --> 0:16:49.080
<v Speaker 10>I love reading your work, whether it's across LinkedIn or

0:16:49.160 --> 0:16:52.360
<v Speaker 10>more broadly, and for you, it's housing, right, This is

0:16:52.400 --> 0:16:54.560
<v Speaker 10>where the misinterpretation is coming in.

0:16:56.040 --> 0:16:56.560
<v Speaker 6>Exactly.

0:16:56.720 --> 0:17:01.160
<v Speaker 9>So housing is operating with the lag, so it's not

0:17:01.280 --> 0:17:05.600
<v Speaker 9>like current rents or current housing prices. We change the

0:17:05.640 --> 0:17:09.080
<v Speaker 9>way that inflation is calculated back in nineteen eighty two,

0:17:09.760 --> 0:17:13.920
<v Speaker 9>so before eighty two, it was real time inflation and housing,

0:17:14.440 --> 0:17:18.520
<v Speaker 9>but now it operates with the LAG. So the housing

0:17:18.600 --> 0:17:23.959
<v Speaker 9>inflation that's reported in the CPI is inflation that happened

0:17:24.000 --> 0:17:28.679
<v Speaker 9>a year ago, and that component of inflation is thirty

0:17:28.720 --> 0:17:32.920
<v Speaker 9>five percent of the overall inflation. And the reason inflation

0:17:33.000 --> 0:17:36.840
<v Speaker 9>has been high is that the shelter component has been

0:17:36.960 --> 0:17:40.960
<v Speaker 9>running at seven percent. That's what goes into the CPI,

0:17:41.280 --> 0:17:43.720
<v Speaker 9>but we know that's not the case. If you look

0:17:43.760 --> 0:17:48.639
<v Speaker 9>in real time rental inflation or house price inflation is

0:17:48.760 --> 0:17:53.159
<v Speaker 9>near zero or one percent, And if you recalculate the

0:17:53.240 --> 0:17:59.280
<v Speaker 9>CPI with real time shelter costs, then what you see

0:17:59.760 --> 0:18:04.640
<v Speaker 9>is a real time inflation rate below two percent. And

0:18:04.960 --> 0:18:11.439
<v Speaker 9>this has been very frustrating because this shelter component caused

0:18:11.440 --> 0:18:14.800
<v Speaker 9>the FED to make a mistake early on in declaring

0:18:14.920 --> 0:18:20.400
<v Speaker 9>that housing was no big deal and inflation was transitory,

0:18:20.640 --> 0:18:23.920
<v Speaker 9>and it caused them not to move to keep rates

0:18:23.920 --> 0:18:27.479
<v Speaker 9>so low for so long, and then the same mistake

0:18:27.640 --> 0:18:31.760
<v Speaker 9>was made in twenty twenty three. It was obvious that

0:18:32.040 --> 0:18:36.399
<v Speaker 9>the only reason inflation was high was because of the

0:18:36.400 --> 0:18:40.800
<v Speaker 9>shelter inflation that had happened in the past. Policy needs

0:18:40.840 --> 0:18:45.520
<v Speaker 9>to be executed based upon real time data, not on

0:18:45.680 --> 0:18:48.200
<v Speaker 9>data that happened like a year ago.

0:18:48.640 --> 0:18:50.840
<v Speaker 10>In the world I cover more which is AI we

0:18:50.960 --> 0:18:54.000
<v Speaker 10>say a lot garbage in, garbage out. So how are

0:18:54.000 --> 0:18:57.120
<v Speaker 10>you having conversations as a professor of course over there?

0:18:57.400 --> 0:19:00.520
<v Speaker 10>Do you trying to get this message across to use

0:19:00.640 --> 0:19:04.520
<v Speaker 10>hearing that it's falling on death is or more is

0:19:04.560 --> 0:19:06.359
<v Speaker 10>that are willing to listen to some of the data

0:19:06.359 --> 0:19:07.960
<v Speaker 10>that should be taken into account when it comes to

0:19:07.960 --> 0:19:09.120
<v Speaker 10>in flrastory pressures.

0:19:10.119 --> 0:19:13.560
<v Speaker 9>So this has been a more than a year long

0:19:13.640 --> 0:19:16.639
<v Speaker 9>campaign for me, and again I'm very pleased that the

0:19:16.640 --> 0:19:20.280
<v Speaker 9>FED has changed the conversation. And the sooner they move

0:19:20.800 --> 0:19:24.200
<v Speaker 9>the better. There is still a lot of risk out there.

0:19:24.560 --> 0:19:27.840
<v Speaker 9>So like I know, people are patting the FED on

0:19:27.840 --> 0:19:33.639
<v Speaker 9>the back, congratulations, mission accomplished. No, it's way way too early.

0:19:34.560 --> 0:19:38.439
<v Speaker 9>My inverted Yell curved indicator which is eight out of

0:19:38.440 --> 0:19:43.479
<v Speaker 9>eight in predicting recessions, that's the nineteen sixties. We are

0:19:43.560 --> 0:19:47.360
<v Speaker 9>at the average lead time to a recession. So if

0:19:47.359 --> 0:19:50.040
<v Speaker 9>you look at the last four recessions, the Yell curve

0:19:50.080 --> 0:19:55.280
<v Speaker 9>inverted on average thirteen months before a recession, and we

0:19:55.320 --> 0:19:58.960
<v Speaker 9>are at month thirteen breakdown. We're at the average, So

0:19:59.040 --> 0:20:04.160
<v Speaker 9>again it's too early. There are significant headwinds. The FED

0:20:04.200 --> 0:20:08.879
<v Speaker 9>can help things by reducing the FED funds rate as

0:20:08.920 --> 0:20:09.760
<v Speaker 9>soon as possible.

0:20:10.119 --> 0:20:12.000
<v Speaker 2>Hey, Kim, I know you also do a lot of

0:20:12.000 --> 0:20:16.320
<v Speaker 2>work on blockchain, crypto fintech. You teach a course down

0:20:16.359 --> 0:20:19.600
<v Speaker 2>there at DO Innovation and Crypto Ventures. What's the theme

0:20:19.800 --> 0:20:22.040
<v Speaker 2>that you think we should be on the lookout for

0:20:22.040 --> 0:20:23.439
<v Speaker 2>for twenty twenty four in this space.

0:20:24.880 --> 0:20:29.480
<v Speaker 9>So it's interesting that we've got the two simultaneous disruptions happening.

0:20:29.960 --> 0:20:34.240
<v Speaker 9>So one is then decentralized finance to change our payment

0:20:34.320 --> 0:20:39.920
<v Speaker 9>system and to allow for functionality that we've never had before,

0:20:40.359 --> 0:20:43.159
<v Speaker 9>and we've got AI going on at the same time.

0:20:43.760 --> 0:20:46.719
<v Speaker 9>So I look at this in kind of the big picture,

0:20:47.280 --> 0:20:50.080
<v Speaker 9>and the big picture the thing that worries me a

0:20:50.119 --> 0:20:55.640
<v Speaker 9>lot is just the size of the US debt. So

0:20:55.840 --> 0:20:59.639
<v Speaker 9>the service on that debt is about seven hundred billion

0:20:59.680 --> 0:21:03.760
<v Speaker 9>dollars a year, and that service will increase in twenty

0:21:03.800 --> 0:21:07.359
<v Speaker 9>twenty four to be the second largest spending category for

0:21:07.440 --> 0:21:11.320
<v Speaker 9>the government. So the way to get out of this

0:21:11.480 --> 0:21:16.720
<v Speaker 9>problem is, well, there's three different ways. One way is

0:21:16.760 --> 0:21:20.320
<v Speaker 9>to increase taxes, and that just kills growth and nobody

0:21:20.359 --> 0:21:25.000
<v Speaker 9>wants increased taxes. The second way is to print money

0:21:25.080 --> 0:21:27.480
<v Speaker 9>and to inflate our way out. So you print the

0:21:27.480 --> 0:21:29.919
<v Speaker 9>money to pay off the debt, and that is just

0:21:30.000 --> 0:21:33.720
<v Speaker 9>like a tax also, so nobody really wants that. Nobody

0:21:33.760 --> 0:21:37.080
<v Speaker 9>wants to go back to that inflation. The third way

0:21:37.800 --> 0:21:42.080
<v Speaker 9>is with growth. So if we increase our growth rate,

0:21:42.320 --> 0:21:46.239
<v Speaker 9>then it naturally increases the tax revenue and allows us

0:21:46.240 --> 0:21:49.120
<v Speaker 9>to pay down some of that debt. So we are

0:21:49.160 --> 0:21:52.520
<v Speaker 9>at a cusp of a pivot point, in my opinion,

0:21:52.800 --> 0:21:57.000
<v Speaker 9>in the economy with these two disruptions going on, and

0:21:57.400 --> 0:22:01.880
<v Speaker 9>they potentially allow us to get on a different growth path.

0:22:02.200 --> 0:22:05.600
<v Speaker 9>And it's really important that we do not fumble these

0:22:05.720 --> 0:22:12.920
<v Speaker 9>opportunities by overregulating either decentralized finance or AI. We need

0:22:12.960 --> 0:22:17.320
<v Speaker 9>to embrace these disruptions and to look at the benefits,

0:22:17.400 --> 0:22:20.320
<v Speaker 9>not just the costs. And I'm not saying this is

0:22:20.359 --> 0:22:24.919
<v Speaker 9>without risk. There is risk, but the key thing is

0:22:24.960 --> 0:22:27.679
<v Speaker 9>to get on a higher growth path. I don't think

0:22:27.720 --> 0:22:30.240
<v Speaker 9>it's unreasonable, all.

0:22:30.240 --> 0:22:33.600
<v Speaker 2>Right, Kim, that's great stuff. As always, Campbell Harvey, Professor

0:22:33.640 --> 0:22:38.520
<v Speaker 2>of Finance at the Fuqual School of Business at Duke University,

0:22:39.560 --> 0:22:41.359
<v Speaker 2>Great great Place, highly recommend it.

0:22:41.600 --> 0:22:44.680
<v Speaker 8>You're listening to the tape. Can's our live program Bloomberg

0:22:44.760 --> 0:22:48.320
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:22:48.400 --> 0:22:51.640
<v Speaker 8>tune in app, Bloomberg dot Com, and the Bloomberg Business App.

0:22:51.680 --> 0:22:54.479
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:22:54.520 --> 0:22:59.520
<v Speaker 8>flagship New York station, Just say Alexa Play Bloomberg eleven thirty.

0:23:00.119 --> 0:23:03.600
<v Speaker 10>We dig into the geopolitical news of the week of

0:23:03.680 --> 0:23:06.760
<v Speaker 10>the month. Of course, the narrative continues to build about

0:23:06.760 --> 0:23:09.240
<v Speaker 10>the Red Sea, and of course Suthi Rebel has been

0:23:09.280 --> 0:23:13.000
<v Speaker 10>seen to me attacking certain vessels and it basically redirecting.

0:23:13.040 --> 0:23:17.720
<v Speaker 10>We understand now half of all containership fleets now currently

0:23:17.960 --> 0:23:20.680
<v Speaker 10>no longer going through the Red Sea. They're avoiding the route.

0:23:20.960 --> 0:23:24.480
<v Speaker 10>This is according to new industry data that overall is

0:23:24.520 --> 0:23:26.680
<v Speaker 10>one that we can probably cooperate with. Our next guest,

0:23:26.720 --> 0:23:28.600
<v Speaker 10>we're please to welcome to the show. Anton Post, who

0:23:28.600 --> 0:23:32.640
<v Speaker 10>CEO Mercury Resources, and you're all about negotiating skills. You're

0:23:32.640 --> 0:23:36.160
<v Speaker 10>about professionals from an industry basis helping you plot out

0:23:36.200 --> 0:23:39.960
<v Speaker 10>your dry cargo issues. When you are looking at such

0:23:40.040 --> 0:23:43.080
<v Speaker 10>a difficult supply chain management conundrum, What do you advise

0:23:43.119 --> 0:23:44.240
<v Speaker 10>at this moment Anton.

0:23:44.840 --> 0:23:48.520
<v Speaker 11>Yeah, thanks Carolyn. So at this point it's a lot

0:23:48.520 --> 0:23:53.160
<v Speaker 11>of wait and see in what's happening with the international coalition.

0:23:54.119 --> 0:23:57.720
<v Speaker 11>We are partners at have Court Gallbery's Melory Alexander. On

0:23:57.760 --> 0:24:01.639
<v Speaker 11>the container side, it's right now a lot of handholding

0:24:01.720 --> 0:24:06.119
<v Speaker 11>with our client base on the commodities sector to guide

0:24:06.160 --> 0:24:10.480
<v Speaker 11>them through what's happening in the markets at this point.

0:24:10.480 --> 0:24:15.719
<v Speaker 11>So we're seeing of course increased freight, increased insurance, a

0:24:15.720 --> 0:24:20.760
<v Speaker 11>lot of uncertainty and mixed signals from ship owners, container

0:24:20.880 --> 0:24:26.840
<v Speaker 11>lines and from governments on what's happening to basically mitigate

0:24:27.000 --> 0:24:28.719
<v Speaker 11>the risk and the threats that are out there from

0:24:28.720 --> 0:24:30.280
<v Speaker 11>these many art groups.

0:24:30.440 --> 0:24:32.080
<v Speaker 10>I mean, yeah, talk to us about some of the

0:24:32.160 --> 0:24:34.439
<v Speaker 10>mitigation of the risks of how the US Navy is

0:24:34.520 --> 0:24:36.800
<v Speaker 10>leading this military partnership. You are out there talking to

0:24:36.800 --> 0:24:39.760
<v Speaker 10>the brocus the ship is the government support authorities. Do

0:24:39.840 --> 0:24:43.160
<v Speaker 10>they take this as some sort of easing of concern

0:24:43.520 --> 0:24:45.320
<v Speaker 10>or are they still wanting to hold back.

0:24:46.080 --> 0:24:48.640
<v Speaker 6>Yeah, we're seeing some easing of concern.

0:24:49.320 --> 0:24:53.359
<v Speaker 11>Chip operators on the container side, like Marrisk CGM are

0:24:53.440 --> 0:24:55.880
<v Speaker 11>starting to signal a return to going into the Red

0:24:55.920 --> 0:25:00.600
<v Speaker 11>Sea and the Suez Canal. Some ship operators on the

0:25:00.640 --> 0:25:04.320
<v Speaker 11>container side like HAPAG Lloyd are still holding back and

0:25:04.359 --> 0:25:09.080
<v Speaker 11>not even announcing any kind of return to that to

0:25:09.119 --> 0:25:11.000
<v Speaker 11>that market on the dry bulk side, which is a

0:25:11.040 --> 0:25:13.200
<v Speaker 11>huge part of a huge part of our.

0:25:13.080 --> 0:25:16.119
<v Speaker 6>Business dry commodities ship owners.

0:25:16.200 --> 0:25:19.560
<v Speaker 11>Right now, it's naturally a time of year where it's

0:25:19.880 --> 0:25:23.480
<v Speaker 11>where things have slowed down. Uh, So we're seeing ship

0:25:23.480 --> 0:25:26.679
<v Speaker 11>owners of the dry bulk side diverting ships that are

0:25:26.720 --> 0:25:31.800
<v Speaker 11>already en route and ship raiding new cargos.

0:25:31.359 --> 0:25:32.959
<v Speaker 6>For January February.

0:25:33.000 --> 0:25:37.080
<v Speaker 11>Timing is more of a let's see what happens after

0:25:37.440 --> 0:25:39.960
<v Speaker 11>New Year's and what's happening on the h on the

0:25:40.040 --> 0:25:42.920
<v Speaker 11>side to U, you know, on the on the news

0:25:42.960 --> 0:25:46.920
<v Speaker 11>to mitigate what's happening there with the with with the

0:25:46.960 --> 0:25:49.680
<v Speaker 11>military response. So of course we've seen the Navy move

0:25:49.720 --> 0:25:53.679
<v Speaker 11>the usswy D Eisenhower into the Gulf of Baden and

0:25:53.840 --> 0:25:54.919
<v Speaker 11>off them Andy Coast.

0:25:55.200 --> 0:25:55.320
<v Speaker 6>Uh.

0:25:55.760 --> 0:26:01.119
<v Speaker 11>This twenty nation coalition that the United States it's announced

0:26:01.640 --> 0:26:05.200
<v Speaker 11>is seemingly coming together, but there's been some hesitancy from

0:26:05.240 --> 0:26:07.400
<v Speaker 11>a couple of you know, some of the US allies

0:26:07.440 --> 0:26:10.480
<v Speaker 11>and some nations have been reluctant to even put their

0:26:10.560 --> 0:26:13.880
<v Speaker 11>name attached to it. Yet so definitely some still some

0:26:13.960 --> 0:26:16.560
<v Speaker 11>concerns and not a lot of comfort.

0:26:17.000 --> 0:26:21.920
<v Speaker 2>Anton. Who ultimately decides whether ship does transit the Red

0:26:21.960 --> 0:26:25.600
<v Speaker 2>Sea and the Suez Is it the insurance company, the

0:26:25.640 --> 0:26:28.600
<v Speaker 2>ship owner, maybe the captain himself or herself. I mean,

0:26:28.600 --> 0:26:30.360
<v Speaker 2>who really at theen today makes that decision?

0:26:31.160 --> 0:26:34.320
<v Speaker 11>Yes, yes, and yes, right, it's a it's a very

0:26:34.400 --> 0:26:37.800
<v Speaker 11>much a combined situation. Ultimately, the master of the ship,

0:26:37.840 --> 0:26:41.040
<v Speaker 11>the capture of the ship has the as the ultimate say, right,

0:26:41.080 --> 0:26:44.159
<v Speaker 11>but they're taking instructions from the ship owner. But in

0:26:44.200 --> 0:26:48.280
<v Speaker 11>this situation, really in all situations regarding commercial and merchant shipping,

0:26:48.600 --> 0:26:50.800
<v Speaker 11>you have many layers on top, right, you have the

0:26:50.920 --> 0:26:53.760
<v Speaker 11>ultimate ship owner, the company that owns the ship. You

0:26:53.760 --> 0:26:56.840
<v Speaker 11>have the master that has ultimate responsibility for the ship.

0:26:56.840 --> 0:26:59.120
<v Speaker 11>And then you have the ship operator, the company that's

0:26:59.200 --> 0:27:03.239
<v Speaker 11>often time chartering the vessel and has some say over it.

0:27:03.359 --> 0:27:06.640
<v Speaker 11>So it's very much a combined decision. So even if

0:27:06.640 --> 0:27:10.560
<v Speaker 11>a ship owner wants to order that ship to transit

0:27:10.600 --> 0:27:12.880
<v Speaker 11>through the through the Suez Canal and the Red Sea,

0:27:13.440 --> 0:27:16.520
<v Speaker 11>if the master is not comfortable, right, the master can

0:27:16.560 --> 0:27:19.520
<v Speaker 11>basically say we're not taking We're not taking her through.

0:27:19.480 --> 0:27:21.479
<v Speaker 2>You know, I just kind of learned today through some

0:27:21.520 --> 0:27:25.399
<v Speaker 2>other discussions that while yes, the having a aircraft strike

0:27:25.440 --> 0:27:28.680
<v Speaker 2>carrier group in the area is certainly intimidating, certainly represents

0:27:28.880 --> 0:27:31.440
<v Speaker 2>a tremendous show of force, at the end of the day,

0:27:31.480 --> 0:27:33.720
<v Speaker 2>what can it really do against a bunch of terrorists?

0:27:35.560 --> 0:27:37.960
<v Speaker 2>You know, what's the what's the belief in the industry

0:27:37.960 --> 0:27:39.560
<v Speaker 2>about what it can really achieve?

0:27:40.520 --> 0:27:44.520
<v Speaker 11>Yeah, I mean right now, without having the international will

0:27:44.800 --> 0:27:49.160
<v Speaker 11>to do something, and the geopolitics going on over over

0:27:49.240 --> 0:27:52.879
<v Speaker 11>being seen to align you know, for some of our

0:27:53.000 --> 0:27:55.679
<v Speaker 11>NATO allies in this case, right to see themselves to

0:27:55.840 --> 0:27:59.760
<v Speaker 11>align with the United States on the mission to deal

0:27:59.800 --> 0:28:03.080
<v Speaker 11>with it's been it's been walking a tight tightrope, right,

0:28:03.160 --> 0:28:06.520
<v Speaker 11>So we're not even seeing strong rhetoric from.

0:28:06.280 --> 0:28:07.960
<v Speaker 6>Some nations on the issue, let.

0:28:07.880 --> 0:28:12.480
<v Speaker 11>Alone, let alone deploying actual military assets, enable assets to

0:28:12.520 --> 0:28:15.760
<v Speaker 11>the situation. You know, some of what's been written about this,

0:28:16.400 --> 0:28:19.399
<v Speaker 11>about the about the coalition that's coming together, as some

0:28:19.560 --> 0:28:23.560
<v Speaker 11>NATO allies have instead of deploying a destroyer of frigate

0:28:24.000 --> 0:28:27.280
<v Speaker 11>let alone, you know, any kind of hardcore military assets,

0:28:27.560 --> 0:28:31.520
<v Speaker 11>they're deploying one staff officer to the team, right, So

0:28:31.800 --> 0:28:36.040
<v Speaker 11>what signal is that sending to ye many armed groups here.

0:28:37.920 --> 0:28:38.960
<v Speaker 6>Operas I mean.

0:28:38.840 --> 0:28:42.120
<v Speaker 10>To that end, I mean what's fascinating is just how

0:28:42.360 --> 0:28:45.360
<v Speaker 10>global and interconnected the shipping world is. I think in

0:28:45.480 --> 0:28:47.640
<v Speaker 10>some of your notes you were talking about one vessel

0:28:47.840 --> 0:28:52.560
<v Speaker 10>which is Liberia flagged, Dutch operated, Japanese owned. To that end,

0:28:53.240 --> 0:28:57.880
<v Speaker 10>how does do politics in and of itself affect the

0:28:57.920 --> 0:29:01.200
<v Speaker 10>business of shipping? Are people having to decide whether or

0:29:01.280 --> 0:29:05.800
<v Speaker 10>not they work alongside certain alliances that they've always usually done,

0:29:05.880 --> 0:29:07.480
<v Speaker 10>So how is that playing out in the world in

0:29:07.520 --> 0:29:08.080
<v Speaker 10>which you work?

0:29:08.880 --> 0:29:14.080
<v Speaker 11>Yeah, absolutely, Caroline, And what we're seeing is situations in

0:29:14.200 --> 0:29:18.680
<v Speaker 11>hardcore examples now of ship owners and dry cargo market.

0:29:18.680 --> 0:29:20.960
<v Speaker 11>One example that comes to mind, right, a dry cargo

0:29:21.080 --> 0:29:26.000
<v Speaker 11>ship operator that's working on a voyage of a dry

0:29:26.080 --> 0:29:30.960
<v Speaker 11>cargo a dry commodity is actually asking a large international

0:29:31.040 --> 0:29:35.840
<v Speaker 11>trading firm that's their counterparty on that if there's any

0:29:35.960 --> 0:29:41.240
<v Speaker 11>Israeli involvement in the trade, let alone, put aside the

0:29:41.280 --> 0:29:44.960
<v Speaker 11>ownership of the vessel, the operations of the vessel, where

0:29:45.000 --> 0:29:46.960
<v Speaker 11>the ship is going to, put that all aside, just

0:29:47.000 --> 0:29:51.000
<v Speaker 11>whether or not there's any involvement by Israeli companies in

0:29:51.040 --> 0:29:55.280
<v Speaker 11>the actual trade of the commodity in that particular sense.

0:29:55.360 --> 0:30:00.360
<v Speaker 11>So this is really really reach far reaching, right, something

0:30:00.360 --> 0:30:02.920
<v Speaker 11>else that does always researching and getting ready for today.

0:30:03.680 --> 0:30:07.320
<v Speaker 11>Interestingly enough, we're seeing ships now transiting through the Red

0:30:07.360 --> 0:30:11.920
<v Speaker 11>Sea that are using their AIS system that's usually used

0:30:11.920 --> 0:30:16.560
<v Speaker 11>to transmit data on the ship's position and load port

0:30:16.680 --> 0:30:20.960
<v Speaker 11>and discharge port and ETA. They're using that instead of

0:30:21.000 --> 0:30:25.520
<v Speaker 11>showing a discharge port of let's say Peaeus Grease, they've

0:30:25.560 --> 0:30:31.760
<v Speaker 11>replaced that with information that says armed security aboard or

0:30:32.200 --> 0:30:36.560
<v Speaker 11>no Israeli involvement in the ship in the in the

0:30:37.000 --> 0:30:39.360
<v Speaker 11>slot where you would put the discharge port or the

0:30:39.400 --> 0:30:43.120
<v Speaker 11>destination port, so that it transmits through to the MNY

0:30:43.920 --> 0:30:48.000
<v Speaker 11>armed groups, right, that they could see that information as

0:30:48.000 --> 0:30:52.000
<v Speaker 11>they're tracking the ship. In addition to what's allegedly an

0:30:52.040 --> 0:30:56.640
<v Speaker 11>Iranian spy vessel you know, that's been lingering there too, and.

0:30:56.760 --> 0:30:58.840
<v Speaker 2>Touch about thirty seconds left. I mean, is there any

0:30:59.400 --> 0:31:03.440
<v Speaker 2>realistics solution here other than I guess the cessation of

0:31:03.520 --> 0:31:04.600
<v Speaker 2>hostilities in the region.

0:31:05.720 --> 0:31:07.800
<v Speaker 6>Yeah, I think the others.

0:31:07.920 --> 0:31:11.479
<v Speaker 11>The other solution is potentially in very unsavory, right, a

0:31:11.480 --> 0:31:16.520
<v Speaker 11>military solution to dealing with what's going on on the

0:31:16.560 --> 0:31:20.480
<v Speaker 11>ground in Yemen, and of course, I'm no expert in

0:31:21.440 --> 0:31:24.680
<v Speaker 11>military matters in terms of how to deal with that,

0:31:24.720 --> 0:31:27.720
<v Speaker 11>so I wouldn't even I wouldn't even vent venture that.

0:31:27.680 --> 0:31:28.400
<v Speaker 6>But you could.

0:31:28.560 --> 0:31:30.840
<v Speaker 11>You can imagine if we're dealing with a situation where

0:31:30.840 --> 0:31:35.200
<v Speaker 11>we're United States NATO allies are not even willing to

0:31:35.800 --> 0:31:38.479
<v Speaker 11>send more than a staff officer to a joint naval

0:31:38.560 --> 0:31:42.000
<v Speaker 11>task force, what's gonna you know, where's the will to

0:31:42.120 --> 0:31:45.120
<v Speaker 11>deal with this on the situation on the ground where

0:31:45.160 --> 0:31:46.719
<v Speaker 11>the attacks are originating from.

0:31:47.240 --> 0:31:49.880
<v Speaker 10>Well, you as an officer in the US Naval Reserve,

0:31:49.960 --> 0:31:51.760
<v Speaker 10>so you know a bit more than we do here

0:31:51.760 --> 0:31:55.000
<v Speaker 10>in the radio studio. But we really appreciate your time. Anton,

0:31:55.000 --> 0:31:57.240
<v Speaker 10>absolutely fascinated to get and on the ground feel of

0:31:57.640 --> 0:32:00.360
<v Speaker 10>all the negotiations you're currently having. Anton Posners, of course,

0:32:00.400 --> 0:32:02.760
<v Speaker 10>the CEO of Mercury Resources.

0:32:03.400 --> 0:32:07.040
<v Speaker 8>You're listening to the tape Kent Live program Bloomberg Markets

0:32:07.080 --> 0:32:10.480
<v Speaker 8>weekdays at ten am Eastern on Bloomberg Radio, the tune

0:32:10.520 --> 0:32:13.480
<v Speaker 8>in app, Bloomberg dot Com, and the Bloomberg Business App.

0:32:13.520 --> 0:32:16.320
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:32:16.360 --> 0:32:21.360
<v Speaker 8>flagship New York station, Just say Alexa play Bloomberg eleven thirty.

0:32:22.120 --> 0:32:23.920
<v Speaker 10>We want to get some expertise in this area where

0:32:23.920 --> 0:32:26.480
<v Speaker 10>the risks are also where the opportunities are to be

0:32:26.520 --> 0:32:29.320
<v Speaker 10>investing in this sort of technology. We'll please to welcome

0:32:29.600 --> 0:32:34.080
<v Speaker 10>Jake Sapo's general partner at Emergence Capital, and Jake, you know,

0:32:34.120 --> 0:32:36.560
<v Speaker 10>the retort coming from the likes of open ai and

0:32:36.600 --> 0:32:39.760
<v Speaker 10>the other foundational models has been fair use, and ultimately

0:32:39.800 --> 0:32:41.960
<v Speaker 10>also the fact that they've been trying to get ahead

0:32:41.960 --> 0:32:44.040
<v Speaker 10>of this in some way by striking deals with the

0:32:44.080 --> 0:32:47.400
<v Speaker 10>actual springer. I think the key publicists over in Germany

0:32:47.440 --> 0:32:50.760
<v Speaker 10>where they've sort of licensed some of their particular use

0:32:50.960 --> 0:32:57.240
<v Speaker 10>of publications and writings. What will the New York Times

0:32:57.320 --> 0:32:59.520
<v Speaker 10>case mean do you think for the training of these

0:32:59.520 --> 0:33:02.560
<v Speaker 10>models when you put the genie back in, can you

0:33:02.560 --> 0:33:05.800
<v Speaker 10>in any way take out New York Times's own articles

0:33:05.800 --> 0:33:07.960
<v Speaker 10>from the training of open AI's model.

0:33:09.000 --> 0:33:09.880
<v Speaker 6>Yeah, it's a great question.

0:33:10.160 --> 0:33:13.720
<v Speaker 7>It's great to be here. What I'd say is this

0:33:13.800 --> 0:33:17.200
<v Speaker 7>is going to create a lot of movement towards exploring

0:33:17.280 --> 0:33:21.400
<v Speaker 7>open source models. So open ai is the champion of

0:33:21.400 --> 0:33:24.560
<v Speaker 7>the kind of closed source model ecosystem, which means that

0:33:24.600 --> 0:33:26.640
<v Speaker 7>the data that they're training on and the code that

0:33:26.640 --> 0:33:29.400
<v Speaker 7>they actually generate from it is not publicly available, and

0:33:29.440 --> 0:33:31.800
<v Speaker 7>so there's lots of questions now around transparency, what data

0:33:31.800 --> 0:33:34.160
<v Speaker 7>are they using? What can we use as a business

0:33:34.160 --> 0:33:36.600
<v Speaker 7>if we're going to use their opena models. What is

0:33:36.600 --> 0:33:39.360
<v Speaker 7>happening now is an increased interest by people that consume

0:33:39.600 --> 0:33:43.360
<v Speaker 7>models to explore open source models, where the data that

0:33:43.440 --> 0:33:46.080
<v Speaker 7>is used to train those models is clearer and you,

0:33:46.320 --> 0:33:47.880
<v Speaker 7>as the user of the model, have the ability to

0:33:47.880 --> 0:33:51.200
<v Speaker 7>manipulate the model themselves. So we think that twenty twenty four,

0:33:51.280 --> 0:33:53.400
<v Speaker 7>and certainly the advent of this lawsuit is going to

0:33:53.400 --> 0:33:56.480
<v Speaker 7>push businesses who are using this technology to consider open

0:33:56.520 --> 0:33:57.880
<v Speaker 7>source models more seriously.

0:33:58.400 --> 0:34:02.640
<v Speaker 2>So I think I'm getting comfortable with what AI is,

0:34:03.000 --> 0:34:04.440
<v Speaker 2>and that's a big leap for me because it took

0:34:04.480 --> 0:34:06.880
<v Speaker 2>me in most of the year. Here now my question.

0:34:06.680 --> 0:34:07.800
<v Speaker 7>The last time we talked about it.

0:34:07.920 --> 0:34:10.680
<v Speaker 2>Yeah, I just need some help on what do you

0:34:10.719 --> 0:34:12.759
<v Speaker 2>think in twenty twenty four, Jakes might be some of

0:34:12.800 --> 0:34:16.360
<v Speaker 2>the use cases that maybe will help the general public

0:34:16.400 --> 0:34:19.000
<v Speaker 2>get a better feel for what generative AI is and

0:34:19.000 --> 0:34:19.640
<v Speaker 2>what it can mean.

0:34:20.719 --> 0:34:20.919
<v Speaker 6>Yeah.

0:34:20.960 --> 0:34:23.040
<v Speaker 7>Well, I think the good news is in twenty twenty four,

0:34:23.040 --> 0:34:26.760
<v Speaker 7>we're going to move from kind of prototyping land into production.

0:34:27.080 --> 0:34:28.960
<v Speaker 7>A lot of these applications are going to actually get

0:34:29.000 --> 0:34:32.279
<v Speaker 7>launched and are going to have real impacts for consumers,

0:34:32.760 --> 0:34:34.120
<v Speaker 7>you know. As you know, we focus on B to

0:34:34.160 --> 0:34:36.680
<v Speaker 7>B software investing in emergence, and we think there's going

0:34:36.760 --> 0:34:39.160
<v Speaker 7>to be a bunch of exciting applications of AI in

0:34:39.200 --> 0:34:42.239
<v Speaker 7>twenty twenty four. Give you one example, we work with

0:34:42.239 --> 0:34:47.320
<v Speaker 7>a company called Docimity, which is shorthand is LinkedIn for doctors,

0:34:47.440 --> 0:34:49.680
<v Speaker 7>and they provide a whole suite of tools for doctors

0:34:49.719 --> 0:34:52.120
<v Speaker 7>in addition to just a social networking application, but they

0:34:52.120 --> 0:34:54.440
<v Speaker 7>help doctors serve their patients. One of the things that

0:34:54.440 --> 0:34:57.480
<v Speaker 7>they're using AI to do is to help doctors draft

0:34:57.560 --> 0:35:00.080
<v Speaker 7>letters to insurance companies to get approval for treatments.

0:35:00.880 --> 0:35:01.040
<v Speaker 6>Right.

0:35:01.080 --> 0:35:04.040
<v Speaker 7>That has massive implications for not just the doctors, but

0:35:04.080 --> 0:35:06.640
<v Speaker 7>also obviously consumers and getting you know, much more efficient.

0:35:07.160 --> 0:35:09.239
<v Speaker 7>That type of thing wasn't possible a year ago and

0:35:09.400 --> 0:35:12.080
<v Speaker 7>is increasingly possible today. So you're going to see those

0:35:12.080 --> 0:35:12.960
<v Speaker 7>types of things.

0:35:12.960 --> 0:35:13.600
<v Speaker 6>Come to fruition.

0:35:13.680 --> 0:35:16.319
<v Speaker 7>We have worked with a company called Ironclade that's in

0:35:16.320 --> 0:35:19.680
<v Speaker 7>the legal contracting space and they help they help companies

0:35:19.760 --> 0:35:22.800
<v Speaker 7>draft contracts using AI more effectively, which allows people to

0:35:22.800 --> 0:35:25.399
<v Speaker 7>process contracts more quickly and ensure they're correct. So you're

0:35:25.400 --> 0:35:27.799
<v Speaker 7>going to see them kind of seep into all sorts

0:35:27.800 --> 0:35:31.080
<v Speaker 7>of applications across the business ecosystem.

0:35:31.200 --> 0:35:32.719
<v Speaker 2>A new phrase for me, and there's a lot of

0:35:32.760 --> 0:35:35.080
<v Speaker 2>new phrases I'm learning as it relates to AI co

0:35:35.320 --> 0:35:39.160
<v Speaker 2>pilots that ensure humans stay engaged. Here explain what that

0:35:39.239 --> 0:35:42.160
<v Speaker 2>concept is and of what are some interesting companies that

0:35:42.160 --> 0:35:43.239
<v Speaker 2>maybe have seen with that tech.

0:35:44.480 --> 0:35:50.480
<v Speaker 7>Yeah, so imagine that you are on your computer and

0:35:50.480 --> 0:35:53.960
<v Speaker 7>you're searching for some piece of information. The idea is

0:35:54.880 --> 0:35:58.360
<v Speaker 7>historically you would go, you know, to Google and look externally,

0:35:58.480 --> 0:36:00.560
<v Speaker 7>or you would kind of scour all your documents internally,

0:36:01.200 --> 0:36:03.480
<v Speaker 7>a copilot will actually pop up and give you not

0:36:03.640 --> 0:36:06.359
<v Speaker 7>just a link to something, but actually an answer. We

0:36:06.400 --> 0:36:08.759
<v Speaker 7>work with a company called Guru that does this exact thing.

0:36:09.040 --> 0:36:11.120
<v Speaker 7>So the idea is, instead of searching across all of

0:36:11.160 --> 0:36:14.400
<v Speaker 7>your applications, the information has actually serviced to you directly.

0:36:14.400 --> 0:36:16.319
<v Speaker 7>So the concept of a copilot, to boil it down, is,

0:36:16.680 --> 0:36:19.200
<v Speaker 7>as you're doing your job, you have an assistant that

0:36:19.320 --> 0:36:20.960
<v Speaker 7>is kind of next to you that helps coach you

0:36:21.560 --> 0:36:24.759
<v Speaker 7>on the right direction to go. Now, critically, there's a

0:36:24.800 --> 0:36:29.799
<v Speaker 7>difference between a copilot and an autopilot. Autopilot is dangerous, right,

0:36:29.840 --> 0:36:31.840
<v Speaker 7>because that's when the human shuts off their brain and

0:36:31.880 --> 0:36:34.200
<v Speaker 7>the plane flies itself, and that could be bad, or

0:36:34.400 --> 0:36:37.080
<v Speaker 7>you know, it could be good. As you're building these

0:36:37.120 --> 0:36:39.279
<v Speaker 7>co pilots, As you're building these coaches, you need to

0:36:39.360 --> 0:36:41.960
<v Speaker 7>ensure that the human stays engaged and is actually in

0:36:42.000 --> 0:36:45.360
<v Speaker 7>putting their new their thoughts and creativity and double checking

0:36:45.360 --> 0:36:48.160
<v Speaker 7>into the software. Because, as we all know, AI is

0:36:48.200 --> 0:36:51.040
<v Speaker 7>not perfect. There are errors that are committed all the time.

0:36:51.840 --> 0:36:54.600
<v Speaker 7>That's okay in consumer applications. You know, if you're chatting

0:36:54.640 --> 0:36:58.359
<v Speaker 7>with a dead celebrity using AI, it's okay if it's wrong, right,

0:36:58.760 --> 0:37:01.520
<v Speaker 7>But if I'm drafting a important legal contract or if

0:37:01.560 --> 0:37:04.920
<v Speaker 7>I'm communicating with an insurance company, I need to be

0:37:05.000 --> 0:37:07.279
<v Speaker 7>ensured that it's a bulletproof. And a core way to

0:37:07.320 --> 0:37:09.600
<v Speaker 7>do that today is to ensure that the human is

0:37:09.640 --> 0:37:12.520
<v Speaker 7>engaged with the copilot and not just clicking accept, accept,

0:37:12.520 --> 0:37:14.440
<v Speaker 7>accept on whatever it suggests.

0:37:14.920 --> 0:37:17.319
<v Speaker 10>When you're looking at the valuations of the companies that

0:37:17.320 --> 0:37:19.880
<v Speaker 10>you're ruying in the B to B space, or more broadly,

0:37:19.920 --> 0:37:22.600
<v Speaker 10>when we're talking of the latest one hundred billion dollar

0:37:22.680 --> 0:37:25.600
<v Speaker 10>valuation of open AI. When we're thinking of Vanthropic reaching

0:37:25.640 --> 0:37:27.520
<v Speaker 10>a run rate revenue run rate of eight hundred and

0:37:27.560 --> 0:37:31.000
<v Speaker 10>fifty million and potentially being valued more than eighteen billion.

0:37:31.960 --> 0:37:35.719
<v Speaker 10>Are those valuations realistic if open source is going to

0:37:35.760 --> 0:37:41.040
<v Speaker 10>become more of the valued foundational model direction of choice

0:37:41.360 --> 0:37:44.719
<v Speaker 10>or do you think, really still these valuations are going

0:37:44.760 --> 0:37:45.680
<v Speaker 10>to be the right source of.

0:37:45.640 --> 0:37:50.000
<v Speaker 7>Amount for them. It's a really great question. There are

0:37:50.040 --> 0:37:52.760
<v Speaker 7>lots of great closed source companies like the ones you named.

0:37:53.760 --> 0:37:57.080
<v Speaker 7>As open source becomes more and more viable in twenty

0:37:57.120 --> 0:37:58.960
<v Speaker 7>four and twenty twenty four and beyond, work with a

0:37:58.960 --> 0:38:02.120
<v Speaker 7>company called together that helps you know companies actually use

0:38:02.440 --> 0:38:05.080
<v Speaker 7>closed source model open source models more effectively. There is

0:38:05.080 --> 0:38:06.880
<v Speaker 7>going to be pressure put on these open source models,

0:38:07.200 --> 0:38:09.759
<v Speaker 7>and so the key thing to check as you're evaluating

0:38:09.800 --> 0:38:11.960
<v Speaker 7>an investment in a close source or really any a

0:38:12.120 --> 0:38:13.800
<v Speaker 7>opportunity is retention.

0:38:14.920 --> 0:38:15.279
<v Speaker 6>You want.

0:38:15.719 --> 0:38:18.960
<v Speaker 7>These things are getting incredible adoption right initial adoption. People

0:38:19.000 --> 0:38:21.600
<v Speaker 7>are playing with this stuff, experimenting with their prototyping, et cetera.

0:38:22.000 --> 0:38:23.840
<v Speaker 7>But the core thing that will matter in twenty twenty

0:38:23.840 --> 0:38:28.120
<v Speaker 7>four and AI is retention. Are people that start using

0:38:28.120 --> 0:38:30.560
<v Speaker 7>the product continuing to use the product, and the key

0:38:30.600 --> 0:38:33.920
<v Speaker 7>questions you alluded to is in these foundational models, it's

0:38:34.000 --> 0:38:35.920
<v Speaker 7>easiest to start with the closed source model because it's

0:38:35.920 --> 0:38:37.680
<v Speaker 7>all packaged for you and you can just kind of

0:38:37.880 --> 0:38:40.640
<v Speaker 7>get it up and running quickly. But if open source

0:38:40.680 --> 0:38:45.799
<v Speaker 7>models become more preferred, either because they're more easily manipulable

0:38:45.920 --> 0:38:48.720
<v Speaker 7>or because of the New York Times, you know, driven

0:38:48.840 --> 0:38:51.920
<v Speaker 7>concerns around where's your data coming from, there is going

0:38:51.960 --> 0:38:54.040
<v Speaker 7>to be some downward pressure on these close source models,

0:38:54.040 --> 0:38:56.279
<v Speaker 7>which could put pressure on retention, which could ultimately pu

0:38:56.280 --> 0:38:57.560
<v Speaker 7>pressure on some of those valuations.

0:38:57.800 --> 0:39:00.719
<v Speaker 10>And Jake, how are you trying to add analyze the

0:39:00.760 --> 0:39:03.319
<v Speaker 10>regulatory outlook for twenty to twenty four as you make

0:39:03.360 --> 0:39:07.400
<v Speaker 10>these investment decisions? How you trying to preempt It feels

0:39:07.560 --> 0:39:09.640
<v Speaker 10>sort of like crypto all over again. Everyone's trying to

0:39:09.640 --> 0:39:12.200
<v Speaker 10>get ahead of where the SEC or indeed, more broadly,

0:39:12.560 --> 0:39:14.479
<v Speaker 10>you know, we've had an executive order here in the US,

0:39:14.480 --> 0:39:16.640
<v Speaker 10>but this is going to come down to global regulation.

0:39:16.719 --> 0:39:20.040
<v Speaker 10>We've seen the EU with its AI Act. How do

0:39:20.040 --> 0:39:20.719
<v Speaker 10>you front run that?

0:39:22.000 --> 0:39:25.560
<v Speaker 7>Yeah, well, I think transparency is really important, Like understanding

0:39:25.560 --> 0:39:27.960
<v Speaker 7>where you get your data from is really important. You

0:39:27.960 --> 0:39:30.719
<v Speaker 7>don't want to be using copyrighted data to train your models, right,

0:39:30.719 --> 0:39:33.520
<v Speaker 7>that's like it's obvious, But I think people are going

0:39:33.560 --> 0:39:35.439
<v Speaker 7>to be paying much more attention to where that data

0:39:35.440 --> 0:39:37.680
<v Speaker 7>comes from. I think similarly, trust is going to become

0:39:37.760 --> 0:39:39.239
<v Speaker 7>much more important, not just in terms of where your

0:39:39.320 --> 0:39:43.480
<v Speaker 7>data comes from, but is that data actually believable? You know,

0:39:44.120 --> 0:39:46.520
<v Speaker 7>bad data going into a good model is going to

0:39:46.520 --> 0:39:50.760
<v Speaker 7>create a bad output. I work with the CEO of Guru,

0:39:50.800 --> 0:39:54.080
<v Speaker 7>Rick Nucci, calls this truth washing, which is where, Okay,

0:39:54.160 --> 0:39:56.880
<v Speaker 7>I'm using data that comes in and the model spits

0:39:56.920 --> 0:39:59.520
<v Speaker 7>out an answer that sounds really confident.

0:39:59.560 --> 0:40:00.000
<v Speaker 6>What's wrong.

0:40:01.000 --> 0:40:02.960
<v Speaker 7>I think going forward there's going to be a much

0:40:03.320 --> 0:40:05.799
<v Speaker 7>greater impetus put on how do you validate the data

0:40:05.800 --> 0:40:07.760
<v Speaker 7>that went into training the model is not only legally

0:40:07.760 --> 0:40:10.160
<v Speaker 7>for you, legal for you to use, but also accurate

0:40:10.239 --> 0:40:12.160
<v Speaker 7>so that the input or the output that comes out

0:40:12.160 --> 0:40:15.000
<v Speaker 7>of the model can be trusted. So as we think

0:40:15.040 --> 0:40:18.239
<v Speaker 7>about evaluating investment opportunities, we're thinking about it from a

0:40:18.239 --> 0:40:21.239
<v Speaker 7>first principle's perspective, which is a belief that regulators are

0:40:21.280 --> 0:40:23.200
<v Speaker 7>going to move in the direction. Thank you Apple for

0:40:23.239 --> 0:40:26.960
<v Speaker 7>the use of the thumbs up there. This technology is

0:40:26.960 --> 0:40:30.600
<v Speaker 7>going to move in a direction where regulators are concerned about. Okay,

0:40:30.960 --> 0:40:32.640
<v Speaker 7>is the data? Are you allowed to use the data

0:40:32.680 --> 0:40:35.560
<v Speaker 7>that you are using? And is the output that's coming

0:40:35.600 --> 0:40:37.920
<v Speaker 7>out of these models trustworthy such that good things can

0:40:37.960 --> 0:40:38.400
<v Speaker 7>come from it?

0:40:38.840 --> 0:40:41.880
<v Speaker 2>Thirty seconds Jake, if I bring a cool AI idea

0:40:41.920 --> 0:40:43.640
<v Speaker 2>to Sandhill Road, can I raise money?

0:40:44.960 --> 0:40:45.120
<v Speaker 6>Well?

0:40:45.160 --> 0:40:47.080
<v Speaker 7>As we talked about last time, Paul, Standhill Road is

0:40:47.360 --> 0:40:50.839
<v Speaker 7>that's the past. The future is San Francisco, the Embarcadero.

0:40:50.880 --> 0:40:52.560
<v Speaker 7>That's where the question nice.

0:40:52.800 --> 0:40:53.279
<v Speaker 2>I like that.

0:40:55.160 --> 0:40:58.000
<v Speaker 7>But to answer your question, can you raise money? Well, first,

0:40:58.040 --> 0:41:01.160
<v Speaker 7>I would look at your background, and I think your

0:41:01.160 --> 0:41:04.759
<v Speaker 7>an incredible interviewer. I don't know how oh technically savvy, you.

0:41:04.680 --> 0:41:06.520
<v Speaker 2>Are, right, but good.

0:41:06.520 --> 0:41:09.000
<v Speaker 7>I mean the reality is there is going to be

0:41:09.040 --> 0:41:12.239
<v Speaker 7>more media and companies twenty four yeah, exactly, covering your

0:41:12.239 --> 0:41:13.759
<v Speaker 7>the media company, I'll writ a check all day long.

0:41:14.480 --> 0:41:18.120
<v Speaker 7>There is going to be more scrutiny of AI investments

0:41:18.160 --> 0:41:20.120
<v Speaker 7>going forward, and I think the key thing people are

0:41:20.160 --> 0:41:22.120
<v Speaker 7>going to be looking for is that retention point. In

0:41:22.120 --> 0:41:25.440
<v Speaker 7>twenty twenty three, so many AI applications, we're getting so

0:41:25.520 --> 0:41:27.520
<v Speaker 7>much tire kicking, and lots of people were using the

0:41:27.560 --> 0:41:29.480
<v Speaker 7>product for a week, two weeks, three weeks and then

0:41:29.480 --> 0:41:31.319
<v Speaker 7>they would get bored or try the next hot thing,

0:41:31.360 --> 0:41:34.319
<v Speaker 7>et cetera. What investors are going to be increasingly looking

0:41:34.360 --> 0:41:36.440
<v Speaker 7>for in twenty twenty four is Okay, yeah, you've got

0:41:36.480 --> 0:41:38.319
<v Speaker 7>a lot of people to start using your thing, but

0:41:38.360 --> 0:41:40.960
<v Speaker 7>are people continuing to use the thing indefinitely and continue

0:41:40.960 --> 0:41:41.799
<v Speaker 7>to get value out of it?

0:41:42.000 --> 0:41:42.160
<v Speaker 6>Right?

0:41:42.200 --> 0:41:44.560
<v Speaker 2>All right, Jake, once again, thanks so much for joining us.

0:41:44.600 --> 0:41:48.320
<v Speaker 2>Really appreciate getting your insight there. Jake Sayper, general partner

0:41:48.360 --> 0:41:51.920
<v Speaker 2>at Emergency Capital, Thanks.

0:41:51.680 --> 0:41:55.160
<v Speaker 1>For listening to the Bloomberg Markets podcast. You can subscribe

0:41:55.200 --> 0:41:58.920
<v Speaker 1>and listen to interviews at Apple Podcasts or whatever podcast

0:41:58.960 --> 0:42:02.520
<v Speaker 1>platform you prefer. I'm Matt Miller. I'm on Twitter at

0:42:02.560 --> 0:42:04.279
<v Speaker 1>Matt Miller nineteen seventy three.

0:42:04.719 --> 0:42:07.120
<v Speaker 2>And I'm Paul Sweeney. I'm on Twitter at pt Sweeney.

0:42:07.239 --> 0:42:09.880
<v Speaker 2>Before the podcast, you can always catch us worldwide at

0:42:09.880 --> 0:42:10.880
<v Speaker 2>Bloomberg Radio