WEBVTT - BI Weekend: AI Tech Impact, Private Credit 

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Intelligence

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<v Speaker 1>with Alex Steel and Paul Sweeney.

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<v Speaker 2>The real AP performance has been in US corporate high yield.

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<v Speaker 3>Are the companies lean enough? Have they trimmed all the fats?

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<v Speaker 2>The semiconductor business is a really cyclical business.

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<v Speaker 1>Breaking market headlines and corporate news from across the globe.

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<v Speaker 3>Do investors like the M and A that we've seen?

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<v Speaker 2>These are two big time blue chip companies.

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<v Speaker 3>Window between the peak and cunt changing super fast.

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<v Speaker 1>Bloomberg Intelligence with Alex Steele and Paul Sweeney on Bloomberg Radio.

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<v Speaker 2>Today's Bloomberg Intelligence Show, we dig inside the big business

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<v Speaker 2>stories impacting Wall Street and the global markets.

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<v Speaker 3>Each and every week we provide dep research and data

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<v Speaker 3>on some of the two thousand companies and one hundred

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<v Speaker 3>and thirty industries our analysts cover worldwide.

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<v Speaker 2>Today, we'll look at the growing dominance of private credit

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<v Speaker 2>as traditional banks face stricter regulations.

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<v Speaker 3>Plus we'll discuss the ball role of quantitative finance and

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<v Speaker 3>artificial intelligence and asset management.

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<v Speaker 2>And we begin with some of the best interviews from

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<v Speaker 2>our live broadcast this week at Bloomberg invest There, we

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<v Speaker 2>talked with leaders in asset management, banking, wealth and private

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<v Speaker 2>markets in the heart of New York's Financial district.

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<v Speaker 3>For our first conversation, we are joined by Mark Mahaney,

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<v Speaker 3>Senior Managing director at Evercore ISI. We discussed the state

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<v Speaker 3>of the tech sector and how artificial intelligence is reshaping

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<v Speaker 3>the industry. We first asked Mark about how AI compares

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<v Speaker 3>to the launch of the Internet.

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<v Speaker 4>I don't know if it will be that transformative, but

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<v Speaker 4>the amount of money that's going into them, paid by companies,

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<v Speaker 4>put in by companies that have plenty of cash is

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<v Speaker 4>something of a tell. And then we've seen a lot

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<v Speaker 4>of examples of what I call OURAI, you know ROI

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<v Speaker 4>return on investment ROAI. So you know, we're staring at

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<v Speaker 4>it right now. Look at what's happened to Meta in

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<v Speaker 4>the last two and a half years. How they've turned

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<v Speaker 4>around their business both and they've dramatically improved their services

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<v Speaker 4>for customers that's you and me as consumers. Our news

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<v Speaker 4>feed has gotten to become more relevant because they've used

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<v Speaker 4>AI to do better targeting, better recommendations. But also for advertisers,

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<v Speaker 4>their return on ads ben ROAs has risen because the

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<v Speaker 4>campaigns have become better targeted, better management, better managed. So

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<v Speaker 4>I've seen a couple of really great ROAI examples and

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<v Speaker 4>so I'm not sure it's transformative, but it's definitely improving

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<v Speaker 4>the performance of these companies, and it shows up in

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<v Speaker 4>the P and L.

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<v Speaker 5>Two.

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<v Speaker 4>I think you can also look at Google, twenty five

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<v Speaker 4>percent of their code is now written by AI. Imagine

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<v Speaker 4>the productivity improvement associated with that. And then Amazon is

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<v Speaker 4>talking about twenty five percent lower cost to serve in

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<v Speaker 4>its most advanced distribution centers. I mean, that's why their

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<v Speaker 4>margins are going to continue to go up. So you're

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<v Speaker 4>seeing it in a P and L. So I think

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<v Speaker 4>it's actually a major productivity improvement, and I think this

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<v Speaker 4>is going to play out for years.

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<v Speaker 3>When do you think we're going to really understand how

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<v Speaker 3>inferencing is going to impact us and companies? And like,

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<v Speaker 3>when are you going to get me to buy in

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<v Speaker 3>to an AI story?

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<v Speaker 4>Well, I tried to lay out couple of examples already

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<v Speaker 4>of where these companies are deploying AI and machine learning,

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<v Speaker 4>and they have been for quite some time. We've just

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<v Speaker 4>had a step up, like a hockey stick improvement. You

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<v Speaker 4>just mentioned Kenda hockey stick inflection up in productivity gains

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<v Speaker 4>because with these companies. So I'm sorry, I think we're

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<v Speaker 4>already starting to see it, and I think we're seeing

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<v Speaker 4>it in it.

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<v Speaker 3>Why I see it, I mean maybe my news feed,

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<v Speaker 3>but well I pay for it.

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<v Speaker 4>Well, you want some really specific product examples, I got

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<v Speaker 4>a really fun one for you.

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<v Speaker 3>Okay, into it.

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<v Speaker 4>You want to learn languages, There's this wonderful app called

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<v Speaker 4>dual Lingo. You want to really learn a language, pay

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<v Speaker 4>up for dual Lingo Max, where you can use an

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<v Speaker 4>AI generated bot to actually practice your French, your Spanish,

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<v Speaker 4>your German, your Russian, whatever we need to learn these days. Anyway,

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<v Speaker 4>and I think you're going to see more of these

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<v Speaker 4>kind of little one off examples. But you know, from

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<v Speaker 4>a company's perspective, anything that produces internal productivity, improves relations

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<v Speaker 4>with suppliers or customers. I mean, all of that's I

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<v Speaker 4>don't think there's one. I don't think there's one AI

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<v Speaker 4>revenue build. But you'll see a couple of products that

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<v Speaker 4>wouldn't exist, And they do a Lingle example as one

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<v Speaker 4>that wouldn't simply wouldn't exist if you didn't have AI.

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<v Speaker 2>How about for Google and a traditional search business is

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<v Speaker 2>AI a threat to Google or not.

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<v Speaker 4>Google just put out a blog that said that because

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<v Speaker 4>of AI overviews that they're actually seeing more commercial search queries. Really,

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<v Speaker 4>that's that should raise all of our eyes. So, and

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<v Speaker 4>I guess I'm not at the end of the day,

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<v Speaker 4>not surprise. Google is a company that just consistently improved

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<v Speaker 4>the product, made the search results faster and faster and

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<v Speaker 4>more relevant. This just took that up a notch. And so, yeah,

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<v Speaker 4>if they can get you the result you want more quickly,

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<v Speaker 4>especially if it's leading to more commercial searches, Google is

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<v Speaker 4>the one company in the world that knows how to

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<v Speaker 4>monetize commercial searches.

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<v Speaker 3>What do you think is the biggest misconception about AI,

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<v Speaker 3>Whether it's like what investors thing, what's priced into the stock,

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<v Speaker 3>or justconceptually.

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<v Speaker 4>I think the biggest mistake misconception probably occurred when Deep

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<v Speaker 4>came out and there was concern that this would be

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<v Speaker 4>highly disruptive for the hyperscalers. I actually took the exact

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<v Speaker 4>opposite view, especially if you're at the application layer, and

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<v Speaker 4>because the infrastructure potentially just got a lot cheaper, So

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<v Speaker 4>you're going to all that money that you've spent on Capex,

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<v Speaker 4>You're going to get a better return. That money wasn't wasted,

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<v Speaker 4>You're going to get a better return than you would

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<v Speaker 4>have had in the past. So I think that's probably

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<v Speaker 4>the biggest recent misconception I've seen.

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<v Speaker 2>For Meta It's had a great turnaround. As you talked

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<v Speaker 2>about what percentage of that turnaround is simply cost cutting

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<v Speaker 2>versus maybe just stepping away from the metaverse discussion somewhat.

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<v Speaker 4>I think it's two or three things. Stepping away from metaverse,

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<v Speaker 4>focusing on the year of efficiency that Zuckerberg talked about

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<v Speaker 4>the beginning of twenty three and now it's become the

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<v Speaker 4>years of efficiency. There has been a mind shift at

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<v Speaker 4>Silicon Valley. It's not growth at all costs is much

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<v Speaker 4>more of a focus on So there's a cultural shift

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<v Speaker 4>I think is probably good. These companies are going through

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<v Speaker 4>their middle life stage is not crisis, but stages, and

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<v Speaker 4>as they do that, they shouldn't be They should be

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<v Speaker 4>spending much less aggressively on growth. They should be focused

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<v Speaker 4>more and profitability than they are. But then the tie

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<v Speaker 4>into AI is their developers can produce more code with

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<v Speaker 4>fewer developers. It's not like they need to cut people

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<v Speaker 4>from this point on, but they can grow, They can

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<v Speaker 4>sustain growth with less need to add headcount than they

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<v Speaker 4>did in the past.

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<v Speaker 2>Our thanks to Mark Mahaney, Senior managing director at Evercore, I.

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<v Speaker 3>S I saying with Bloomberg and Bez Paul and I

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<v Speaker 3>also spoke with Katie Fogerty, chief financial officer at the

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<v Speaker 3>Burger chain Shake Shack, and we discussed the company's growth strategy,

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<v Speaker 3>pricing dynamics, and expansion plans.

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<v Speaker 2>We're first to ask Katie about the company's strategy and

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<v Speaker 2>who the consumer is at shay Check these days.

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<v Speaker 6>We have this amazing real estate strategy, and what we've

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<v Speaker 6>done is we've put these great community gathering places in

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<v Speaker 6>a lot of these you know, great communities, and where

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<v Speaker 6>we have attracted is just really kind of more of

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<v Speaker 6>a I would say, you know, more a middle income

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<v Speaker 6>to higher income guests. And we've seen that guest be

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<v Speaker 6>able to weather a lot more of the economic headwinds

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<v Speaker 6>than other, you know, than the low income consumer has

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<v Speaker 6>been facing. And you know, what we continue to see

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<v Speaker 6>is by leaning into our strength, which is delivering a

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<v Speaker 6>fine casual experience. So we think about kind of bringing

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<v Speaker 6>all those great guts of fine dining elevated food, premium ingredients,

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<v Speaker 6>doing the things that you know, other you know, fast

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<v Speaker 6>casual and QSR just are not willing to do. Putting

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<v Speaker 6>that an amazing hospital or hospitable environment and getting great

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<v Speaker 6>guest service. That together has been a winning formula to

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<v Speaker 6>help us outpunch what has been you know, some consumer

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<v Speaker 6>headwinds that has been facing the industry, and we are

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<v Speaker 6>going to continue to lean into that. It's it's helping

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<v Speaker 6>us to differentiate and kind of pull apart from the pack.

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<v Speaker 6>And it's it's been our strength. Where are our samples?

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<v Speaker 3>I know, I mean what is this about?

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<v Speaker 2>So who are.

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<v Speaker 3>Your competitors then? So if you're a middle and high

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<v Speaker 3>end consumer, who would you say as a competitor, Yeah,

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<v Speaker 3>I mean we sell burgers, shakes, fries, I think the

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<v Speaker 3>best chicken sandwich out there in the business. We view

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<v Speaker 3>our competitors as being you know, anybody who you know

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<v Speaker 3>you might consider having lunch at or dinner at. So

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<v Speaker 3>that is a pretty wide array and it also can

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<v Speaker 3>be you know, food at home. I mean that can

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<v Speaker 3>also be in you know, in an area where you

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<v Speaker 3>would have some share of stomach. So you know, for

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<v Speaker 3>the vast amount of you know, of our restaurants out there.

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<v Speaker 3>We are competing with a lot of people. Now we

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<v Speaker 3>are differentiated and we are kind of in that category

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<v Speaker 3>of one in the fine casual sector. But at the

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<v Speaker 3>same time, we know that, you know, people have lots

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<v Speaker 3>of different options where they can go out to eat, Katy.

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<v Speaker 2>There's a lot of concern out there about inflation. If

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<v Speaker 2>inflation were to come into your business, where would you

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<v Speaker 2>see it and how do you plan for that?

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<v Speaker 6>So we actually have been navigating through inflationary pressures for

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<v Speaker 6>a number of years here and doing so quite successfully.

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<v Speaker 6>I'll say, you know, we've had wage inflationary pressures in COVID.

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<v Speaker 6>It was actually very hard to get restaurant talent in

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<v Speaker 6>our restaurants to staff and to deliver our food. It

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<v Speaker 6>was not a desirable job at the time. And we

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<v Speaker 6>had we raised wages and had a very competitive and

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<v Speaker 6>compelling opportunity for our team members. We also introduced tips

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<v Speaker 6>as a way to compensate our team members as well

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<v Speaker 6>and give them added benefit. And then last year with

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<v Speaker 6>you know, with California Fast Food Wage Act, you know,

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<v Speaker 6>we faced through that as well. We've also had on

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<v Speaker 6>the food side, you know, inflationary pressures that have been.

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<v Speaker 6>We've been navigating for a number of years as well.

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<v Speaker 6>But through all of this, through leaning in on our strength,

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<v Speaker 6>which is, you know, again delivering that elevated you know,

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<v Speaker 6>experience to guests, giving them that you know, twenty five

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<v Speaker 6>dollars uh, you know black truffle Burger that we were

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<v Speaker 6>actually selling for ten dollars and giving them that great value.

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<v Speaker 6>On that side, we've been able to both grow sales

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<v Speaker 6>and grow margins at a faster pace. Just even last year,

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<v Speaker 6>we expanded our margins in the fourth quarter by three

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<v Speaker 6>hundred basis points. So I've never had Shakeshack, but it

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<v Speaker 6>looked I know, I know, but it looks like I

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<v Speaker 6>may be ab to now in Delta. Yes.

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<v Speaker 3>So, and this really also goes to your expansion plans.

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<v Speaker 3>So Delta is going to offer Shakeshack Burgers on additional

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<v Speaker 3>domestic routs this year, and that could expand international flights

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<v Speaker 3>next year. Talk about these expansion kind of plans.

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<v Speaker 6>Yeah, I mean, if you look at Delta at its

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<v Speaker 6>core and what this does, you know, this is an

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<v Speaker 6>opportunity where we're able to surprise and delight our guests,

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<v Speaker 6>give them that thing that they weren't really expecting. You know,

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<v Speaker 6>you have your expectation for what airline food is like,

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<v Speaker 6>and you know, this this opportunity to get a shake

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<v Speaker 6>Shack Burger and are great. We have a special brownie

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<v Speaker 6>that we've made for for Delta as well. Through this program.

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<v Speaker 6>People are just absolutely elated at the opportunity to have

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<v Speaker 6>that on their flights, and so much so that it's

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<v Speaker 6>exceeded our internal expectations. We're rolling it out to more airports.

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<v Speaker 6>You're gonna be able to get it, you know, New York, Atlanta,

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<v Speaker 6>a number of airports, and that will just you know,

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<v Speaker 6>probably continue to grow. And you know, if you look

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<v Speaker 6>at that opportunity and I can make so many different

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<v Speaker 6>parallels to how we've gone into an area where the

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<v Speaker 6>consumer had a certain expectation and we just really raised

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<v Speaker 6>the bar on it and out punched above our weight

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<v Speaker 6>and transformed what people were expecting from you know, it's

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<v Speaker 6>airline food, if it's roadside food, and across the board.

0:11:19.520 --> 0:11:21.880
<v Speaker 2>Katie, in terms of growth, how many locations do you

0:11:21.920 --> 0:11:24.360
<v Speaker 2>have today and what's your outlook for the next year

0:11:24.400 --> 0:11:24.680
<v Speaker 2>or two.

0:11:24.880 --> 0:11:27.679
<v Speaker 6>Yeah, we have, you know, across both our company operated

0:11:28.120 --> 0:11:32.120
<v Speaker 6>and our license business. We're you know, about five hundred

0:11:32.160 --> 0:11:35.000
<v Speaker 6>and fifty five hundred and seventy locations, but we are

0:11:35.040 --> 0:11:38.760
<v Speaker 6>growing very fast. We're going to add another forty five

0:11:39.000 --> 0:11:42.880
<v Speaker 6>domestic company operated shacks this year, and we're going to

0:11:42.920 --> 0:11:46.280
<v Speaker 6>open about thirty five to forty licensed shacks as well.

0:11:46.840 --> 0:11:50.160
<v Speaker 6>Those license shacks are ones that we operate, that our

0:11:50.160 --> 0:11:54.600
<v Speaker 6>partners operate. We have locations in the US, but most

0:11:54.640 --> 0:11:57.160
<v Speaker 6>of that is kind of outside of the US and Asia,

0:11:57.360 --> 0:12:01.920
<v Speaker 6>and we have UK, the Middle East, Mexico, and most

0:12:01.960 --> 0:12:03.439
<v Speaker 6>recently we opened up in Canada.

0:12:03.800 --> 0:12:06.800
<v Speaker 3>Our thanks to Katie Fogerty, chief financial officer at Shakeshack.

0:12:07.040 --> 0:12:09.120
<v Speaker 2>Coming up, we'll break down how private credit is being

0:12:09.160 --> 0:12:11.319
<v Speaker 2>impacted as banks face stricter regulations.

0:12:11.520 --> 0:12:14.079
<v Speaker 3>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:12:14.160 --> 0:12:16.240
<v Speaker 3>depth research and data on two thousand companies and one

0:12:16.280 --> 0:12:19.240
<v Speaker 3>hundred and thirty industries. You can access Bloomberg Intelligence through

0:12:19.320 --> 0:12:20.600
<v Speaker 3>Bigo on the terminal.

0:12:20.600 --> 0:12:22.440
<v Speaker 2>I'm Alex Steele to Paul Sweeney.

0:12:22.559 --> 0:12:23.600
<v Speaker 4>This is Bloomberg.

0:12:28.559 --> 0:12:32.280
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:12:32.360 --> 0:12:35.439
<v Speaker 1>weekdays at ten am Eastern on Apple, Cocklay and Android

0:12:35.440 --> 0:12:38.760
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:12:38.800 --> 0:12:43.040
<v Speaker 1>you get your podcasts or watch us live on YouTube.

0:12:43.080 --> 0:12:45.400
<v Speaker 3>We continue with some of our best interviews from our

0:12:45.440 --> 0:12:48.000
<v Speaker 3>live broadcast at Bloomberg invest We talk with leaders and

0:12:48.000 --> 0:12:50.720
<v Speaker 3>asset management, banking, wealth and private markets in the heart

0:12:50.760 --> 0:12:52.120
<v Speaker 3>of New York's financial district.

0:12:52.360 --> 0:12:55.720
<v Speaker 2>In this conversation, we spoke with Mark Lipschultz, co CEO

0:12:55.840 --> 0:12:58.599
<v Speaker 2>at Blue Out Capital. We discussed the growing dominance of

0:12:58.600 --> 0:13:02.280
<v Speaker 2>private credit as traditional banks face stricter regulations and reduced

0:13:02.360 --> 0:13:03.239
<v Speaker 2>lending capacity.

0:13:03.360 --> 0:13:05.160
<v Speaker 3>We first asked Mark to talk to us about Blue

0:13:05.200 --> 0:13:07.560
<v Speaker 3>Owl and how they fit into the private credit business.

0:13:08.120 --> 0:13:10.679
<v Speaker 5>Well, we've been very fortunate to be part of an

0:13:10.679 --> 0:13:13.280
<v Speaker 5>asset class and you know, I play our role in

0:13:13.360 --> 0:13:16.160
<v Speaker 5>helping evolve it. Look, private credit, to set the stage

0:13:16.240 --> 0:13:19.760
<v Speaker 5>right is about taking long term capital from investors, and

0:13:19.800 --> 0:13:22.040
<v Speaker 5>we've tried to broaden the range of people that have

0:13:22.120 --> 0:13:24.400
<v Speaker 5>access to it and to be able to provide that

0:13:24.480 --> 0:13:28.720
<v Speaker 5>capital to corporate users to support their growth with a

0:13:28.760 --> 0:13:30.559
<v Speaker 5>view to the long term. And to be here on

0:13:30.640 --> 0:13:33.640
<v Speaker 5>a day when you know the public market is so volatile,

0:13:34.080 --> 0:13:37.240
<v Speaker 5>you know, in some ways very much a reminder of

0:13:37.240 --> 0:13:41.080
<v Speaker 5>why private credit works for investors, but also why it's

0:13:41.120 --> 0:13:45.199
<v Speaker 5>important because look, we're doing business today. We're making loans today,

0:13:45.280 --> 0:13:47.520
<v Speaker 5>just like we were yesterday, just like we will tomorrow.

0:13:47.880 --> 0:13:52.240
<v Speaker 5>You know, screen rater screen blue screen green, prefer green.

0:13:52.800 --> 0:13:55.400
<v Speaker 3>I should disclose that to my money manager. I do

0:13:55.480 --> 0:13:58.319
<v Speaker 3>own shares in blue Owl private credit. Finally, I do

0:13:58.400 --> 0:13:59.800
<v Speaker 3>have some of that feel like I need to say that,

0:13:59.840 --> 0:14:03.120
<v Speaker 3>but not through me. It's through my money guy. So

0:14:03.600 --> 0:14:06.920
<v Speaker 3>help me understand the competitive landscape though, because it feels

0:14:06.920 --> 0:14:09.280
<v Speaker 3>like banks now want to get a slice of the

0:14:09.280 --> 0:14:11.280
<v Speaker 3>private credit market that they had to give up, and

0:14:11.280 --> 0:14:14.560
<v Speaker 3>now we're seeing some partnerships with private credit shops. How

0:14:14.559 --> 0:14:15.160
<v Speaker 3>do you look at it?

0:14:15.280 --> 0:14:18.160
<v Speaker 5>Yeah, the evolving landscape with the banks is pretty interesting.

0:14:18.240 --> 0:14:22.120
<v Speaker 5>Let's make a couple observations. The word like referencing the

0:14:22.240 --> 0:14:25.560
<v Speaker 5>bank market. I think it's worth unpacking a little bit because,

0:14:25.600 --> 0:14:28.480
<v Speaker 5>as obviously you will know, when we go back to

0:14:28.720 --> 0:14:31.400
<v Speaker 5>thirty years ago, I started in the private markets. The

0:14:31.440 --> 0:14:34.320
<v Speaker 5>alternative market wasn't called that at the time, and we

0:14:34.360 --> 0:14:37.520
<v Speaker 5>actually borrowed money from the banks when we were doing

0:14:37.600 --> 0:14:40.880
<v Speaker 5>an LBO as it was called then, literally from their

0:14:41.080 --> 0:14:44.760
<v Speaker 5>balance sheets. That over the last thirty years has been

0:14:44.800 --> 0:14:49.080
<v Speaker 5>on a long trajectory changing from being a lender to now,

0:14:49.280 --> 0:14:51.720
<v Speaker 5>the banks don't lend to these companies at all, and

0:14:51.760 --> 0:14:55.080
<v Speaker 5>that's been true for a while. They intermediate, right, They'll

0:14:55.080 --> 0:14:58.040
<v Speaker 5>go in and they'll underwrite a loan and then sell

0:14:58.080 --> 0:15:00.720
<v Speaker 5>it into the market, cut it into pieces, sell it

0:15:01.280 --> 0:15:04.880
<v Speaker 5>and so in that regard, of course, that's an alternative

0:15:04.920 --> 0:15:07.000
<v Speaker 5>way to finance a business. And we could talk about

0:15:07.040 --> 0:15:09.320
<v Speaker 5>the pluses and minuses of both. It's great to have

0:15:09.400 --> 0:15:12.360
<v Speaker 5>both markets. You want to have a good, vibrant bank

0:15:12.480 --> 0:15:15.960
<v Speaker 5>intermediated market. But remember what the bank cares about is

0:15:16.280 --> 0:15:18.200
<v Speaker 5>can I underwrite the loan and sell it in the

0:15:18.200 --> 0:15:21.480
<v Speaker 5>next sixty days. So the red screen is dramatic for

0:15:21.560 --> 0:15:24.360
<v Speaker 5>a decision for a bank to underwrite a loan. On

0:15:24.360 --> 0:15:26.560
<v Speaker 5>the other hand, word at the exact opposite, it doesn't

0:15:26.600 --> 0:15:28.560
<v Speaker 5>really matter to us what's happening in the market today.

0:15:28.560 --> 0:15:31.680
<v Speaker 5>What matters to us is do we get paid back five, six,

0:15:31.760 --> 0:15:34.320
<v Speaker 5>seven years from out. That's our decision, that's what we're

0:15:34.360 --> 0:15:37.280
<v Speaker 5>focused on. So in that sense, we really live in

0:15:37.560 --> 0:15:40.880
<v Speaker 5>kind of with different incentives and serve a different function. However,

0:15:41.040 --> 0:15:43.440
<v Speaker 5>to the good point, the banks are saying, okay, but

0:15:43.800 --> 0:15:46.040
<v Speaker 5>turns out private credit really does work, right. They spent

0:15:46.120 --> 0:15:48.960
<v Speaker 5>a lot of time criticizing the market and trying different

0:15:48.960 --> 0:15:52.240
<v Speaker 5>ways to maybe scare up the boogeyman. But now they

0:15:52.280 --> 0:15:55.840
<v Speaker 5>in fact are actually launching funds to do private credit.

0:15:56.240 --> 0:15:58.680
<v Speaker 5>So I'd start with, look, if you can't beat them,

0:15:58.720 --> 0:16:01.760
<v Speaker 5>join them, and we that's right, We'll take the endorsement

0:16:01.760 --> 0:16:04.880
<v Speaker 5>of the market. It's a big world credit. It's a

0:16:04.960 --> 0:16:08.560
<v Speaker 5>multi trillion dollar asset class, multi trillion dollar marketplace. We

0:16:08.720 --> 0:16:12.800
<v Speaker 5>need vibrant available capital. And having bank launch a fund,

0:16:12.920 --> 0:16:14.600
<v Speaker 5>you know great. There's a lot of funds in the world,

0:16:15.000 --> 0:16:16.960
<v Speaker 5>and some of those will be done in partnerships as

0:16:16.960 --> 0:16:20.000
<v Speaker 5>you noted, and someone just be standalone efforts, and some

0:16:20.080 --> 0:16:22.120
<v Speaker 5>will just continue to stay the course and do their

0:16:22.160 --> 0:16:23.120
<v Speaker 5>traditional underwriting.

0:16:23.360 --> 0:16:26.040
<v Speaker 2>What's a typical deal for blue out these days?

0:16:26.320 --> 0:16:28.720
<v Speaker 5>So a typical deal for us. And this has been

0:16:28.720 --> 0:16:30.960
<v Speaker 5>true for us from the beginning. Now, obviously the attributes

0:16:30.960 --> 0:16:33.640
<v Speaker 5>and the size have changed, but over the last roughly

0:16:33.680 --> 0:16:36.320
<v Speaker 5>ten years that we've built Blue Owl, our reason to

0:16:36.360 --> 0:16:38.280
<v Speaker 5>be was to come in and say, look, we want

0:16:38.320 --> 0:16:41.680
<v Speaker 5>private credit to become the lender of first choice as

0:16:41.680 --> 0:16:44.120
<v Speaker 5>opposed to the lender of last resort, and private credit,

0:16:44.200 --> 0:16:47.280
<v Speaker 5>if you go back before that time was really a

0:16:47.400 --> 0:16:50.200
<v Speaker 5>lender of last resort. It's where you went if you

0:16:50.240 --> 0:16:53.000
<v Speaker 5>couldn't get money from a mainstream source. As I said,

0:16:53.040 --> 0:16:55.840
<v Speaker 5>I was at KKR for twenty one years, and during

0:16:55.880 --> 0:16:59.440
<v Speaker 5>that time I don't recall ever working with a private

0:16:59.520 --> 0:17:01.720
<v Speaker 5>lender that this wasn't what you did if you were

0:17:01.720 --> 0:17:05.679
<v Speaker 5>a mainstream borrower. But the idea for Blualla and today,

0:17:05.760 --> 0:17:08.800
<v Speaker 5>so to answer this question has been to create actually

0:17:08.840 --> 0:17:13.080
<v Speaker 5>a real value proposition in having a partner to really

0:17:13.119 --> 0:17:15.919
<v Speaker 5>work with a long dated capital pool for someone who

0:17:16.000 --> 0:17:19.199
<v Speaker 5>has long dated needs and long dated ambitions with their business.

0:17:19.240 --> 0:17:22.960
<v Speaker 5>So our typical company today often backed by a private

0:17:22.960 --> 0:17:26.680
<v Speaker 5>equity firm, a sponsor. Sometimes it's just private family owned

0:17:26.680 --> 0:17:30.679
<v Speaker 5>businesses or other corporate enterprises, but typically a private equity

0:17:30.720 --> 0:17:34.199
<v Speaker 5>backed business and they're buying a very large company and

0:17:34.280 --> 0:17:36.719
<v Speaker 5>they're looking for a long term partner to buy it.

0:17:37.000 --> 0:17:40.560
<v Speaker 5>So typically when we do a transaction, we're lending maybe

0:17:41.119 --> 0:17:44.159
<v Speaker 5>forty percent of the purchase price and the buyer is

0:17:44.160 --> 0:17:47.040
<v Speaker 5>putting up sixty percent of the capital. So that's a

0:17:47.160 --> 0:17:50.160
<v Speaker 5>very very low leverage structure compared to what people are

0:17:50.240 --> 0:17:52.440
<v Speaker 5>used to. If you go back again ten years and

0:17:52.600 --> 0:17:56.040
<v Speaker 5>twenty years and the company today Our average company in

0:17:56.080 --> 0:17:59.840
<v Speaker 5>our portfolio has over two hundred million dollars of even

0:18:00.200 --> 0:18:03.000
<v Speaker 5>I mean, these are big companies today, and that's been

0:18:03.000 --> 0:18:05.119
<v Speaker 5>a dramatic shift from ten years ago when it was

0:18:05.160 --> 0:18:07.520
<v Speaker 5>really a market for smaller businesses.

0:18:07.760 --> 0:18:10.040
<v Speaker 3>So let's get to that five to seven year time horizon,

0:18:10.119 --> 0:18:13.320
<v Speaker 3>because ten years ago that's the exact same conversation I'd

0:18:13.320 --> 0:18:15.800
<v Speaker 3>be having with private equity, right, and then we see

0:18:15.800 --> 0:18:18.919
<v Speaker 3>where things get tough and things get stickier, when vintages

0:18:18.960 --> 0:18:21.919
<v Speaker 3>don't work out or there come under different times of

0:18:22.000 --> 0:18:25.959
<v Speaker 3>market stress. How does that apply to the credit space?

0:18:26.320 --> 0:18:28.640
<v Speaker 5>So I think it applies for sure in the sense

0:18:28.680 --> 0:18:32.280
<v Speaker 5>that every market evolves, and every market we'll have it's

0:18:32.400 --> 0:18:35.720
<v Speaker 5>maybe slightly higher and lower moments, But there's an important distinction. Okay,

0:18:36.200 --> 0:18:38.159
<v Speaker 5>at the end of the day, Private equity, if I

0:18:38.320 --> 0:18:40.600
<v Speaker 5>kind of use this metaphor, private equity, which is a

0:18:40.600 --> 0:18:46.119
<v Speaker 5>business I personally participated in for decades, is about mining

0:18:46.160 --> 0:18:48.719
<v Speaker 5>for gold. Right, It's about going out and maybe in

0:18:48.720 --> 0:18:52.119
<v Speaker 5>our simplified parlance, might call and to get rich strategies,

0:18:52.280 --> 0:18:54.520
<v Speaker 5>how do you out there and shoot the moon on

0:18:54.840 --> 0:18:58.520
<v Speaker 5>great returns? So they're mining for gold. Our business in

0:18:58.720 --> 0:19:01.400
<v Speaker 5>private credit is to be the picks and shovels provider

0:19:01.600 --> 0:19:05.119
<v Speaker 5>to those miners. So we're not trying to find a

0:19:05.160 --> 0:19:08.160
<v Speaker 5>big gold vein. We're not betting on the price of gold.

0:19:08.359 --> 0:19:10.399
<v Speaker 5>What we're saying is if the miners are active, and

0:19:10.720 --> 0:19:13.719
<v Speaker 5>miners in this case would be any corporate user of capital,

0:19:13.760 --> 0:19:16.320
<v Speaker 5>so they are always active, we want to supply them

0:19:16.480 --> 0:19:19.159
<v Speaker 5>and we take a less risky position and we expect

0:19:19.160 --> 0:19:23.399
<v Speaker 5>a corollary attractive return. So on the one hand, of course,

0:19:23.400 --> 0:19:25.840
<v Speaker 5>every market evolves, and I want to suggest anybody that

0:19:25.840 --> 0:19:28.760
<v Speaker 5>lives in a vacuum. But the purpose of our strategies

0:19:28.960 --> 0:19:31.520
<v Speaker 5>and the purpose of Crivate credit from an investor's point

0:19:31.560 --> 0:19:33.800
<v Speaker 5>of view, is to have something that's much more about

0:19:33.840 --> 0:19:39.280
<v Speaker 5>downside protection, stability, and income generation through times of uncertainty,

0:19:39.520 --> 0:19:41.439
<v Speaker 5>which is a bit why I say this sort of

0:19:41.480 --> 0:19:43.560
<v Speaker 5>red environment today is actually a good time to have

0:19:43.560 --> 0:19:47.200
<v Speaker 5>the conversation because what we're trying to build our portfolios

0:19:47.240 --> 0:19:50.640
<v Speaker 5>and successfully have down over one hundred billion dollars of loans,

0:19:50.920 --> 0:19:53.760
<v Speaker 5>and our running loss rates have been eleven basis points,

0:19:54.119 --> 0:19:55.639
<v Speaker 5>and I think it speaks to the idea that this

0:19:55.680 --> 0:19:59.600
<v Speaker 5>is about durability and predictability when times are uncertain, and

0:19:59.640 --> 0:20:02.320
<v Speaker 5>I think probably safe to say everyone's looking around saying, gosh,

0:20:02.359 --> 0:20:03.720
<v Speaker 5>it feels uncertain out there.

0:20:04.119 --> 0:20:06.040
<v Speaker 2>Mark, we've got about a minute left. What do you

0:20:06.080 --> 0:20:08.640
<v Speaker 2>say to those folks who say, as the business evolves,

0:20:08.720 --> 0:20:11.080
<v Speaker 2>the dollars get bigger, regulation is needed.

0:20:11.119 --> 0:20:12.440
<v Speaker 4>What do you say to those folks.

0:20:12.480 --> 0:20:15.560
<v Speaker 5>Well, we're a highly regulated business as is, so you

0:20:15.560 --> 0:20:19.399
<v Speaker 5>know today. Look, we're regulated by the SEC, where public

0:20:19.400 --> 0:20:21.440
<v Speaker 5>company as a manager, we have public vehicles, We have

0:20:22.119 --> 0:20:25.639
<v Speaker 5>a lot of regulators we work with, constructively, happy to

0:20:25.680 --> 0:20:28.000
<v Speaker 5>do it. I don't think if what we mean by

0:20:28.440 --> 0:20:32.360
<v Speaker 5>more regulation is more direction from sort of a central

0:20:32.440 --> 0:20:35.280
<v Speaker 5>source as to what you should or shouldn't lend money

0:20:35.320 --> 0:20:37.879
<v Speaker 5>to Remember, when we look back where the sources of

0:20:37.920 --> 0:20:40.919
<v Speaker 5>problems have been, they actually tend to be in the

0:20:40.960 --> 0:20:45.080
<v Speaker 5>regulated institutions, not outside. Even recently. Of course, everyone remembers

0:20:45.080 --> 0:20:47.560
<v Speaker 5>the financial crisis, but don't forget over the last few

0:20:47.600 --> 0:20:50.080
<v Speaker 5>years as private credit is thrived. One of the moments

0:20:50.119 --> 0:20:52.879
<v Speaker 5>we worked through was the run on the bank at

0:20:52.880 --> 0:20:56.360
<v Speaker 5>Silicon Valley Bank. Ye, so you know, what's old is new.

0:20:56.680 --> 0:20:58.399
<v Speaker 5>If you have one day capital and you do long

0:20:58.520 --> 0:21:00.920
<v Speaker 5>term things with it, that's challenging. We have long term

0:21:00.960 --> 0:21:03.800
<v Speaker 5>capital to do long term things. So I think at

0:21:03.840 --> 0:21:05.679
<v Speaker 5>the end of the day, look, we don't touch depositors.

0:21:05.680 --> 0:21:08.800
<v Speaker 5>We're not systemic. So it's a nice compliment to a

0:21:08.840 --> 0:21:11.320
<v Speaker 5>traditional banking market and a public marketplace.

0:21:11.720 --> 0:21:14.480
<v Speaker 2>All right, thanks to market Lipscheltz, co CEO at Blue

0:21:14.480 --> 0:21:15.160
<v Speaker 2>Oul Capital.

0:21:15.440 --> 0:21:18.320
<v Speaker 3>Staying with Bloomberg invest Paul and I also spoke with Yupkim,

0:21:18.520 --> 0:21:21.880
<v Speaker 3>chief investment officer at the Texas Municipal Retirement System. Now

0:21:21.880 --> 0:21:23.959
<v Speaker 3>he discussed how the firm is managing a more than

0:21:24.040 --> 0:21:28.160
<v Speaker 3>forty billion plus pension fund in today's complex economic landscape.

0:21:28.359 --> 0:21:31.280
<v Speaker 2>You first asked, Yep, what he thinks the best allocation

0:21:31.400 --> 0:21:34.320
<v Speaker 2>is right now in what can be considered very strange,

0:21:34.440 --> 0:21:35.880
<v Speaker 2>difficult economic environment.

0:21:36.200 --> 0:21:39.560
<v Speaker 7>I think, on a very holistic basis, we are long

0:21:39.640 --> 0:21:43.879
<v Speaker 7>term investors, and so our long term strategy remains unchanged.

0:21:44.040 --> 0:21:46.960
<v Speaker 7>You know, it's really predicated upon three pillars. Number one,

0:21:47.720 --> 0:21:51.520
<v Speaker 7>attract higher and retain the best talent possible and also

0:21:51.560 --> 0:21:54.920
<v Speaker 7>attracted and partner with the world class investment managers around

0:21:54.960 --> 0:22:00.399
<v Speaker 7>the globe. Secondly, it's really about taking a low cost,

0:22:00.720 --> 0:22:04.359
<v Speaker 7>public markets benchmark aligned approach to to investing. I do

0:22:04.440 --> 0:22:08.879
<v Speaker 7>think we all recognize going forward there are more alph opportunities,

0:22:09.119 --> 0:22:10.840
<v Speaker 7>and beta might be you know, there might be some

0:22:11.160 --> 0:22:14.560
<v Speaker 7>headwinds to beta going forward. So I do think increasing

0:22:14.720 --> 0:22:17.240
<v Speaker 7>the share of active management and public markets will be

0:22:17.280 --> 0:22:21.000
<v Speaker 7>a critical a critical approach. And lastly, really endeavoring to

0:22:21.200 --> 0:22:24.639
<v Speaker 7>generate a lot of the outperformance going forward in private

0:22:24.680 --> 0:22:28.360
<v Speaker 7>markets will be absolutely critical. And you know, and so

0:22:28.600 --> 0:22:30.600
<v Speaker 7>I do think kind of with the you know, with

0:22:30.640 --> 0:22:33.240
<v Speaker 7>the confluence of a lot of market volatility, it's it's

0:22:33.280 --> 0:22:35.359
<v Speaker 7>easy to be swayed left and right. But I do

0:22:35.440 --> 0:22:39.000
<v Speaker 7>think kind of sticking to your core long term strategy

0:22:39.200 --> 0:22:41.200
<v Speaker 7>is you know, very important in this environment.

0:22:41.400 --> 0:22:43.880
<v Speaker 2>How does an asset allocation work for you guys down

0:22:43.920 --> 0:22:48.679
<v Speaker 2>in Austin stocks, bonds, alternatives, Let's hold it with alternatives playing.

0:22:48.840 --> 0:22:53.919
<v Speaker 7>Absolutely Look, I think when you think about alternatives, the

0:22:53.960 --> 0:22:57.400
<v Speaker 7>delta between a media and manager and a top five

0:22:57.440 --> 0:23:01.560
<v Speaker 7>percentile manager in alternatives and privates can be upwards of

0:23:01.600 --> 0:23:05.200
<v Speaker 7>fifteen hundred to eighteen hundred basis points. That equivalent number

0:23:05.200 --> 0:23:07.480
<v Speaker 7>in public markets is two hundred and fifty to three hundred

0:23:07.480 --> 0:23:11.359
<v Speaker 7>basis points. And so you are really compensated for good

0:23:11.400 --> 0:23:14.399
<v Speaker 7>manager selection but also a good deal selection. And so

0:23:14.600 --> 0:23:16.840
<v Speaker 7>I do think there's still you know, when you think

0:23:16.880 --> 0:23:18.679
<v Speaker 7>about the next ten years, there's a lot of equity

0:23:18.760 --> 0:23:21.320
<v Speaker 7>value creation that will occur in the private markets, and

0:23:21.400 --> 0:23:24.400
<v Speaker 7>so it really you know, kind of provides that long

0:23:24.480 --> 0:23:27.040
<v Speaker 7>term you know, kind of alp engine to the overall portfolio.

0:23:27.160 --> 0:23:29.560
<v Speaker 3>I mean, so surprised that you did private equity in

0:23:29.640 --> 0:23:31.439
<v Speaker 3>your last job and then now we're taking over at

0:23:31.440 --> 0:23:35.560
<v Speaker 3>the Texas Pension Fund. How well funded or pensions right now?

0:23:36.000 --> 0:23:40.560
<v Speaker 7>Yes, and so pension funds are definitely better funded kind

0:23:40.560 --> 0:23:44.400
<v Speaker 7>of really on the backs of two incredible years in

0:23:44.560 --> 0:23:47.040
<v Speaker 7>you know, the equity public markets, and I do think

0:23:47.080 --> 0:23:51.720
<v Speaker 7>public pensions typically have higher allocations to public equities since

0:23:51.800 --> 0:23:55.560
<v Speaker 7>that's that's certainly helped. At Texas, we're you know, above

0:23:55.640 --> 0:23:59.320
<v Speaker 7>ninety percent funded and so and just given that we

0:23:59.359 --> 0:24:02.560
<v Speaker 7>serve cities that are growing, you know, you know, our

0:24:03.000 --> 0:24:05.239
<v Speaker 7>net cash outflow for the past two years has been

0:24:05.320 --> 0:24:08.200
<v Speaker 7>less than a percent, and so that really empowers us

0:24:08.240 --> 0:24:11.920
<v Speaker 7>to harvest, you know, thelquided premium of our private market book,

0:24:11.960 --> 0:24:15.560
<v Speaker 7>but also really helps us risk manage on the liquidity side.

0:24:16.280 --> 0:24:19.640
<v Speaker 2>How do you feel about just the opportunities today? Where

0:24:19.640 --> 0:24:22.000
<v Speaker 2>do you guys see the best opportunities?

0:24:22.080 --> 0:24:25.160
<v Speaker 7>Sure, sure, you know, like I think, maybe three things

0:24:25.200 --> 0:24:28.480
<v Speaker 7>I'll share there is, you know, number one, the core

0:24:28.520 --> 0:24:33.880
<v Speaker 7>building blocks on why people were excited about this US exceptionalism.

0:24:34.280 --> 0:24:37.399
<v Speaker 7>The core building blocks have not changed. Right when I

0:24:37.440 --> 0:24:40.159
<v Speaker 7>talk to my peers in Asia and Europe and the

0:24:40.200 --> 0:24:44.280
<v Speaker 7>Middle East, the US continues to be the top destination,

0:24:44.560 --> 0:24:47.400
<v Speaker 7>you know, for their investment capital. You have the top

0:24:47.440 --> 0:24:52.560
<v Speaker 7>academic institutions in the United States, presumably with the greatest founders,

0:24:52.720 --> 0:24:55.919
<v Speaker 7>the most tenured management teams. You have access to cheap energy.

0:24:56.400 --> 0:24:59.880
<v Speaker 7>You have a risk taking culture that's celebrated that's really

0:24:59.880 --> 0:25:02.159
<v Speaker 7>not found in many parts of the world. And the

0:25:02.240 --> 0:25:04.080
<v Speaker 7>question we ask is not how do we generate our

0:25:04.119 --> 0:25:06.919
<v Speaker 7>performs in twenty twenty five, but how do we generate

0:25:06.920 --> 0:25:10.359
<v Speaker 7>outperforms in the next decade. And we do view the

0:25:10.480 --> 0:25:13.880
<v Speaker 7>US to continue to take an asymantic share of that equity.

0:25:14.119 --> 0:25:17.000
<v Speaker 7>You value creation in our total portfolio.

0:25:16.600 --> 0:25:19.199
<v Speaker 2>Our thanks to Yup Kim, chief investment officer at the

0:25:19.240 --> 0:25:20.879
<v Speaker 2>Texas Municipal Retirement System.

0:25:20.960 --> 0:25:22.600
<v Speaker 3>Coming up on the program, we're going to break down

0:25:22.640 --> 0:25:25.879
<v Speaker 3>the evolving role of quantitative finance and artificial intelligence in

0:25:26.160 --> 0:25:27.160
<v Speaker 3>asset management.

0:25:27.440 --> 0:25:30.480
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:25:30.520 --> 0:25:32.679
<v Speaker 2>depth research and data on two thousand companies and one

0:25:32.720 --> 0:25:35.720
<v Speaker 2>hundred and thirty industries. You can access Bloomberg Intelligence via

0:25:35.760 --> 0:25:37.920
<v Speaker 2>b I go on the terminal. I'm Paul Sweeney and.

0:25:37.880 --> 0:25:39.920
<v Speaker 3>I'm Alex Steele, and this is Bloomberg.

0:25:45.440 --> 0:25:49.360
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch the program

0:25:49.440 --> 0:25:52.479
<v Speaker 1>live weekdays at ten am Eastern on Apple Coarclay, and

0:25:52.480 --> 0:25:55.480
<v Speaker 1>Android Auto with the Bloomberg Business app. You can also

0:25:55.600 --> 0:25:58.920
<v Speaker 1>listen live on Amazon Alexa from our flagship New York

0:25:58.960 --> 0:26:02.440
<v Speaker 1>station Alexa Play Bloomberg eleven thirty.

0:26:03.400 --> 0:26:05.520
<v Speaker 3>We continue with some of our best interviews from our

0:26:05.560 --> 0:26:08.040
<v Speaker 3>live broadcast at Bloomberg and Best. We talk with leaders

0:26:08.080 --> 0:26:10.760
<v Speaker 3>in asset management, banking, wealth and private markets in the

0:26:10.800 --> 0:26:12.360
<v Speaker 3>heart of New York's Financial district.

0:26:12.600 --> 0:26:16.040
<v Speaker 2>In this conversation, we spoke with Ben Wren, CEO of

0:26:16.040 --> 0:26:19.760
<v Speaker 2>the London based fintech company tech. Ben discusses the evolving

0:26:19.800 --> 0:26:23.120
<v Speaker 2>role of quantitative finance and artificial intelligence in asset management.

0:26:23.160 --> 0:26:25.000
<v Speaker 3>We first asked Ben to give us his quick pitch

0:26:25.080 --> 0:26:26.480
<v Speaker 3>on what sigtech actually does.

0:26:26.840 --> 0:26:32.119
<v Speaker 8>Sigtag we build specialist agents these days to help people

0:26:32.160 --> 0:26:35.080
<v Speaker 8>make better decisions in cup to markets, but also to

0:26:35.200 --> 0:26:38.520
<v Speaker 8>ultimate a lot of the very high value intellectual but

0:26:38.640 --> 0:26:42.520
<v Speaker 8>not very creative workflows. You know, we can reduce a

0:26:42.520 --> 0:26:45.159
<v Speaker 8>lot of the things people do today, which a bit boring,

0:26:45.359 --> 0:26:48.679
<v Speaker 8>you know, down from many hours to thirty seconds. I

0:26:48.720 --> 0:26:51.359
<v Speaker 8>think that makes a big difference in terms of productivities.

0:26:51.560 --> 0:26:53.680
<v Speaker 2>All Right, here's here's an example that I can think

0:26:53.680 --> 0:26:55.639
<v Speaker 2>of for my Okay, tell me being at the printer

0:26:56.560 --> 0:26:58.560
<v Speaker 2>not far from here, a couple of blocks from here,

0:26:58.640 --> 0:27:01.119
<v Speaker 2>don Linny at the two three o'clock in the morning,

0:27:01.119 --> 0:27:05.800
<v Speaker 2>going over a bond perspectives, that's probably something that AI

0:27:05.880 --> 0:27:10.080
<v Speaker 2>can help with. So been, how much our asset managers

0:27:10.200 --> 0:27:13.680
<v Speaker 2>generally speaking, how much are they using technology today help

0:27:13.880 --> 0:27:14.679
<v Speaker 2>computerize this?

0:27:14.720 --> 0:27:15.320
<v Speaker 8>Is it?

0:27:15.359 --> 0:27:16.359
<v Speaker 2>How quantitative is it?

0:27:16.920 --> 0:27:19.760
<v Speaker 8>I think in the last fifteen years there's a big

0:27:19.800 --> 0:27:24.080
<v Speaker 8>trend in asset management to to adopt more and more technology.

0:27:24.400 --> 0:27:26.520
<v Speaker 8>And we can see this shift in terms of, you know,

0:27:26.560 --> 0:27:30.440
<v Speaker 8>people using more data driven investment processes and people hire

0:27:30.520 --> 0:27:34.680
<v Speaker 8>data analysts and but Jenney and I jenei in the

0:27:34.760 --> 0:27:37.320
<v Speaker 8>last few years is a big step change. It's I

0:27:37.359 --> 0:27:42.119
<v Speaker 8>would say, it's it's an unprecedented, unprecedented change in you know,

0:27:42.400 --> 0:27:46.240
<v Speaker 8>in this trend just in terms of it's no longer incremental.

0:27:47.880 --> 0:27:50.840
<v Speaker 8>There's a before and after. And you know, when we

0:27:50.920 --> 0:27:54.600
<v Speaker 8>when we think about previous technologies, you know, we mainly

0:27:54.600 --> 0:27:58.159
<v Speaker 8>focus on what we call explicit knowledge, knowledge that we

0:27:58.200 --> 0:28:02.360
<v Speaker 8>can codify, describe, and there for use programming language to automate.

0:28:02.680 --> 0:28:06.640
<v Speaker 8>But only until now we're able to distill and automate

0:28:07.240 --> 0:28:11.000
<v Speaker 8>so called tested knowledge, the knowledge that resides in our head,

0:28:11.440 --> 0:28:14.359
<v Speaker 8>but we can't really so easily write it down and

0:28:14.440 --> 0:28:17.800
<v Speaker 8>describe and codify. But now we can actually automate those

0:28:18.040 --> 0:28:21.359
<v Speaker 8>and there are plenty of those workflows and processes, especially

0:28:21.440 --> 0:28:22.720
<v Speaker 8>in financial services.

0:28:23.000 --> 0:28:27.280
<v Speaker 3>So how would you help, Like a regular quant manager,

0:28:28.760 --> 0:28:30.720
<v Speaker 3>like I go to you and I'm like, hey, I

0:28:30.760 --> 0:28:33.359
<v Speaker 3>need your product to help me get better faster, find

0:28:33.400 --> 0:28:35.440
<v Speaker 3>better trends in the market.

0:28:35.920 --> 0:28:41.800
<v Speaker 8>Yeah, for quants, I think quants started with more number driven.

0:28:42.640 --> 0:28:44.880
<v Speaker 8>You know, trend following is if you do it like

0:28:44.920 --> 0:28:47.800
<v Speaker 8>in a very simple way, it's entirely number driven. But

0:28:47.920 --> 0:28:51.520
<v Speaker 8>these days we are moving to a world where we

0:28:51.600 --> 0:28:55.080
<v Speaker 8>have to deal with numbers and text as too, modalities.

0:28:55.120 --> 0:28:58.520
<v Speaker 8>At the same time, it's no longer just about technical analysis,

0:28:58.520 --> 0:29:02.560
<v Speaker 8>but it's also about all been new information and turn

0:29:03.120 --> 0:29:06.480
<v Speaker 8>you know, non numerical information into numerical information. And that's

0:29:06.520 --> 0:29:09.920
<v Speaker 8>something that Jen and I does really well because fundamentally,

0:29:09.920 --> 0:29:12.360
<v Speaker 8>if you think about how it's trained, it has been

0:29:12.400 --> 0:29:16.560
<v Speaker 8>trained on trillions of tokens of textual data and a

0:29:16.600 --> 0:29:19.840
<v Speaker 8>lot of things we used to do either bespoke or

0:29:20.200 --> 0:29:23.640
<v Speaker 8>preparatory fashion. This day we get autobox such as sentiment

0:29:23.680 --> 0:29:27.560
<v Speaker 8>analysis or extracting relative and information from very long pieces

0:29:27.600 --> 0:29:30.600
<v Speaker 8>of text. These sort of things actually change how qualms,

0:29:30.640 --> 0:29:33.240
<v Speaker 8>even how qualms approach their daily jobs.

0:29:33.520 --> 0:29:37.800
<v Speaker 2>Are the big Wall Street firms making these investments or

0:29:37.840 --> 0:29:41.200
<v Speaker 2>is it more of the hedge fund community that is

0:29:41.280 --> 0:29:43.120
<v Speaker 2>more receptive. Who are your customers?

0:29:43.160 --> 0:29:46.720
<v Speaker 8>Typically these days we mainly focus on byside, okay, but

0:29:46.800 --> 0:29:49.360
<v Speaker 8>we also have very big clients in terms of in

0:29:49.440 --> 0:29:52.320
<v Speaker 8>terms of like commercial banks, you know, using our technology

0:29:52.360 --> 0:29:57.520
<v Speaker 8>to completely change how they underwrite commercial loans. I think

0:29:57.560 --> 0:30:01.320
<v Speaker 8>so I wouldn't say it's a cell side or buyside

0:30:01.440 --> 0:30:05.240
<v Speaker 8>or big firm or small firm. I don't think that's

0:30:05.240 --> 0:30:08.000
<v Speaker 8>the main reason in terms of adoption. I would say

0:30:08.080 --> 0:30:12.000
<v Speaker 8>the main reason is is the leadership. You know, when

0:30:12.280 --> 0:30:16.280
<v Speaker 8>when when you approach something so unprecedented, it takes some

0:30:16.360 --> 0:30:19.760
<v Speaker 8>time to build a consensus inside the organization about you know,

0:30:19.800 --> 0:30:22.160
<v Speaker 8>what's the strategy, what do we do? But you know

0:30:22.400 --> 0:30:24.720
<v Speaker 8>that may take two months, three months, and given how

0:30:24.880 --> 0:30:29.040
<v Speaker 8>fast things change after three months is a different world. Yeah, right,

0:30:29.080 --> 0:30:31.560
<v Speaker 8>So it really takes some kind of conviction from a

0:30:31.600 --> 0:30:35.680
<v Speaker 8>visionary leadership team to adopt this technology very confidently.

0:30:35.800 --> 0:30:37.440
<v Speaker 3>Yeah, af for twenty four hours, it can be a

0:30:37.440 --> 0:30:42.680
<v Speaker 3>different investing landscape. So what's the best partnership between AI

0:30:42.760 --> 0:30:46.400
<v Speaker 3>and humans? Fifty to fifty? Is it AI seventy five

0:30:46.440 --> 0:30:48.920
<v Speaker 3>percent of the decision making process twenty five percent for

0:30:49.000 --> 0:30:50.160
<v Speaker 3>human How do you think about that?

0:30:50.400 --> 0:30:53.960
<v Speaker 8>Yeah, I think if I think about the knowledge work

0:30:54.040 --> 0:30:58.040
<v Speaker 8>we do every day, I would describe them as most

0:30:58.040 --> 0:31:03.920
<v Speaker 8>of them may be not creative but intellectual. Right, analyze

0:31:03.960 --> 0:31:08.560
<v Speaker 8>a lot of documents picking out the right information is intellectual,

0:31:08.600 --> 0:31:13.680
<v Speaker 8>but it's not creative. So in the future, humans should

0:31:13.800 --> 0:31:16.720
<v Speaker 8>devote almost all the time to creative stuff what makes

0:31:16.800 --> 0:31:21.520
<v Speaker 8>us different, whereas the boring intellectual stuff can be automated

0:31:21.560 --> 0:31:25.960
<v Speaker 8>by AI agents. On the other hand, we are certainly

0:31:26.040 --> 0:31:29.600
<v Speaker 8>seeing a big change in the user experience, the user

0:31:29.640 --> 0:31:32.240
<v Speaker 8>interface because you know, up to on to this point,

0:31:32.320 --> 0:31:35.800
<v Speaker 8>people approach GENI mainly through a chetbot. You know, there's

0:31:35.840 --> 0:31:38.000
<v Speaker 8>a chet box. You're typing into it to gets some response.

0:31:38.400 --> 0:31:41.240
<v Speaker 8>It's very nice and it's really started the error. But

0:31:41.560 --> 0:31:44.760
<v Speaker 8>going forward, we are looking at a user user interface

0:31:45.280 --> 0:31:49.240
<v Speaker 8>that allow human to essentially collaborate with a large number

0:31:49.280 --> 0:31:52.480
<v Speaker 8>of AI agents who specialize in different things. So how

0:31:52.520 --> 0:31:55.760
<v Speaker 8>does that user interface look like? And how does that

0:31:56.040 --> 0:32:01.360
<v Speaker 8>AI human fusion, intelligence and CLI like. It's it's a

0:32:01.480 --> 0:32:05.200
<v Speaker 8>very active, a feld of research, trial and errors.

0:32:05.600 --> 0:32:09.120
<v Speaker 2>So this sounds like from what I understand of AI,

0:32:09.560 --> 0:32:13.040
<v Speaker 2>a lot of computing power requirements. Talk about the investments

0:32:13.080 --> 0:32:16.719
<v Speaker 2>that you think these financial firms need to make are

0:32:16.840 --> 0:32:19.239
<v Speaker 2>making or you know, maybe need to step up.

0:32:19.480 --> 0:32:22.400
<v Speaker 8>Yeah, in terms of intelligence and the way I think

0:32:22.400 --> 0:32:25.120
<v Speaker 8>about it is and so it's very similar to electricity.

0:32:25.280 --> 0:32:27.640
<v Speaker 8>You know that we are currently in the in the

0:32:27.680 --> 0:32:31.760
<v Speaker 8>first stage of investing in the infrastructure, right and if

0:32:31.760 --> 0:32:34.040
<v Speaker 8>you're going back in history in the last two hundred

0:32:34.080 --> 0:32:37.240
<v Speaker 8>years and then the way we started building electric electricity grid,

0:32:37.720 --> 0:32:40.320
<v Speaker 8>there's one magical number, which is one percent. You know,

0:32:40.440 --> 0:32:42.800
<v Speaker 8>the countries throughout the history spent about one percent of

0:32:42.880 --> 0:32:46.400
<v Speaker 8>nominal GDP on building power grid from two hundred years

0:32:46.440 --> 0:32:49.560
<v Speaker 8>ago in Britain all the way to today. So the

0:32:49.600 --> 0:32:52.440
<v Speaker 8>Big Tech this year announced three hundred billion dollars of

0:32:52.480 --> 0:32:56.760
<v Speaker 8>investment into Genini data centers. That's almost exactly one percent

0:32:56.800 --> 0:32:59.720
<v Speaker 8>of the US GDP today it's about thirty trillions. So

0:32:59.880 --> 0:33:03.040
<v Speaker 8>in terms of infrastructure investment, we are there and people

0:33:03.080 --> 0:33:10.840
<v Speaker 8>are building incredibly big mega AI clusters across the country now.

0:33:11.480 --> 0:33:14.680
<v Speaker 8>But we are shifting toward the application later right because

0:33:14.720 --> 0:33:17.120
<v Speaker 8>once you have electricity, it's not about the electricity per se,

0:33:17.160 --> 0:33:20.880
<v Speaker 8>it's about what kind of appliances you can build powered

0:33:20.920 --> 0:33:23.600
<v Speaker 8>by electricity. So we are moving into that stage too,

0:33:23.640 --> 0:33:26.000
<v Speaker 8>where there are a lot of investment both in terms

0:33:26.000 --> 0:33:29.520
<v Speaker 8>of talent and capital into building the right applications that

0:33:29.560 --> 0:33:32.520
<v Speaker 8>they actually make a big difference to the knowledge workers

0:33:33.440 --> 0:33:36.400
<v Speaker 8>in terms of productivity. So we are starting that phase.

0:33:37.560 --> 0:33:40.280
<v Speaker 3>Last question here for us is what's the biggest misconsumption

0:33:40.880 --> 0:33:44.320
<v Speaker 3>right now when it comes to AI and using it.

0:33:47.360 --> 0:33:50.640
<v Speaker 8>I think the biggest conception is I think people tend

0:33:50.680 --> 0:33:57.920
<v Speaker 8>to either underappreciate its capabilities or sometimes getting over optimistic,

0:33:57.920 --> 0:33:59.840
<v Speaker 8>and it's quite hard to get it right.

0:34:00.800 --> 0:34:03.120
<v Speaker 3>So it's like too much or too much or too little.

0:34:03.200 --> 0:34:05.480
<v Speaker 8>So I mean I think most people are either under

0:34:06.120 --> 0:34:08.759
<v Speaker 8>you know, under hyping it or over hyping. It's very

0:34:08.760 --> 0:34:12.279
<v Speaker 8>hard to get it right. But one thing is very

0:34:12.320 --> 0:34:15.280
<v Speaker 8>obvious to us is that the pace of the change

0:34:15.400 --> 0:34:18.760
<v Speaker 8>is unprecedented and it's getting better. Like the Deep Seak

0:34:18.920 --> 0:34:23.719
<v Speaker 8>just introduced open sourced all their efficiency engineering tricks to

0:34:23.800 --> 0:34:26.359
<v Speaker 8>the whole world and then everybody is going to adopt it.

0:34:26.600 --> 0:34:30.840
<v Speaker 8>So all of this is pushing the efficiency frontier. So

0:34:30.880 --> 0:34:34.200
<v Speaker 8>we're getting better and faster every day, so people should

0:34:34.239 --> 0:34:36.760
<v Speaker 8>be prepared for the big change.

0:34:37.280 --> 0:34:40.400
<v Speaker 3>Our thanks to Bin ren CEO of sick Pech staying

0:34:40.400 --> 0:34:42.360
<v Speaker 3>with Bloomberg and Best. Paul and I also spoke with

0:34:42.400 --> 0:34:45.560
<v Speaker 3>Stephen Meyer, chief investment Officer and Deputy Comptroller for asset

0:34:45.600 --> 0:34:47.800
<v Speaker 3>management at New York City Retirement Systems.

0:34:48.200 --> 0:34:51.960
<v Speaker 2>Stephen discussed how his group is approaching market volatility, rising

0:34:52.000 --> 0:34:54.160
<v Speaker 2>interest rates, and long term pension obligations.

0:34:54.239 --> 0:34:56.919
<v Speaker 3>We first asked Steven how he's been navigating recent months

0:34:57.000 --> 0:34:58.319
<v Speaker 3>during economic uncertainty.

0:34:58.680 --> 0:35:02.680
<v Speaker 9>It's certainly been interesting, and we try to do those

0:35:02.760 --> 0:35:05.680
<v Speaker 9>adhere to a long term strategic plan. So a lot

0:35:05.760 --> 0:35:08.279
<v Speaker 9>for us, a lot of this is noise in terms

0:35:08.280 --> 0:35:11.000
<v Speaker 9>of what's going on in the change of policy in Washington,

0:35:11.440 --> 0:35:13.200
<v Speaker 9>so we're really trying to stick to our north star,

0:35:13.280 --> 0:35:16.720
<v Speaker 9>which is our strategic ass allocation. Again, we have multi

0:35:16.760 --> 0:35:20.680
<v Speaker 9>generational liabilities that we're trying to satisfy. So again a

0:35:20.719 --> 0:35:23.680
<v Speaker 9>long term investment horizon and a long term discipline. Now,

0:35:23.680 --> 0:35:26.960
<v Speaker 9>having said that, our trustees and our beneficiaries and our

0:35:27.000 --> 0:35:29.920
<v Speaker 9>participants do call. We have the privilege of servicing eight

0:35:29.960 --> 0:35:33.800
<v Speaker 9>hundred thousand public workers here in the City of New York,

0:35:34.400 --> 0:35:36.080
<v Speaker 9>so they are concerned. So we need to stay on

0:35:36.080 --> 0:35:38.600
<v Speaker 9>top of it in terms of just increasing the information

0:35:38.680 --> 0:35:41.480
<v Speaker 9>flow of how our assets are diversified and they continue

0:35:41.520 --> 0:35:42.200
<v Speaker 9>to perform as.

0:35:42.160 --> 0:35:45.240
<v Speaker 3>Expected, So how are they like forty sixty or sixty

0:35:45.360 --> 0:35:47.399
<v Speaker 3>forty maybe a thing of the past. There's different mix

0:35:47.440 --> 0:35:49.759
<v Speaker 3>in there, especially when it comes to alternative assets. What's

0:35:49.800 --> 0:35:50.319
<v Speaker 3>the best mix.

0:35:50.520 --> 0:35:53.279
<v Speaker 9>We're about thirty five percent in alternative assets at this point.

0:35:53.480 --> 0:35:56.400
<v Speaker 9>That's a lot, yeah, yeah, yeah, And that includes you know,

0:35:56.440 --> 0:36:00.719
<v Speaker 9>private equity, infrastructure, private credit, some small all exposure to

0:36:00.760 --> 0:36:04.480
<v Speaker 9>hedge funds in real estate. Of this other sixty five percent,

0:36:04.600 --> 0:36:08.000
<v Speaker 9>we're about almost forty percent of that is in equity,

0:36:08.680 --> 0:36:12.640
<v Speaker 9>dominated by US equity, about eighty five percent US large

0:36:12.640 --> 0:36:15.799
<v Speaker 9>cap in particular. And then an allocation to develop market

0:36:15.760 --> 0:36:18.680
<v Speaker 9>actually US and emerging market. So we're balanced. We're balanced

0:36:18.680 --> 0:36:21.400
<v Speaker 9>from a private perspective, we're balanced from a public perspective,

0:36:22.360 --> 0:36:25.000
<v Speaker 9>and again, I think that's going to benefit us over time.

0:36:25.200 --> 0:36:27.080
<v Speaker 9>With the increase in volatility, have.

0:36:27.120 --> 0:36:30.080
<v Speaker 2>You changed your views on the economy out of the

0:36:30.200 --> 0:36:32.680
<v Speaker 2>US economy or global economy given some of these trade

0:36:32.680 --> 0:36:34.200
<v Speaker 2>tensions that are coming into the marketplace.

0:36:34.360 --> 0:36:37.120
<v Speaker 9>Well, we're concerned about inflation, and we do think we

0:36:37.200 --> 0:36:40.680
<v Speaker 9>have some natural hedges against inflation and a portfolio terms

0:36:40.680 --> 0:36:44.200
<v Speaker 9>of a real asset allocation, real estate, infrastructure. I think

0:36:44.200 --> 0:36:46.759
<v Speaker 9>our public equities will actually perform well over time in

0:36:46.800 --> 0:36:51.680
<v Speaker 9>a higher inflationary environment. So we're not necessarily overly concerned.

0:36:52.239 --> 0:36:56.240
<v Speaker 9>We did expect to see some uplift in inflation expectations

0:36:56.360 --> 0:37:01.680
<v Speaker 9>given concerns about you know, the imposition riffs, the mass

0:37:01.960 --> 0:37:04.880
<v Speaker 9>deportations that we're talked about anyway in terms of potentially

0:37:05.440 --> 0:37:08.680
<v Speaker 9>impacting the price of labor. So again, haven't really changed

0:37:08.719 --> 0:37:10.239
<v Speaker 9>what we're doing or how we're doing it, but we're

0:37:10.480 --> 0:37:13.239
<v Speaker 9>certainly mindful and we continue to monitor the situations.

0:37:13.520 --> 0:37:16.080
<v Speaker 3>Before we let you go, you mentioned thirty five percent

0:37:16.280 --> 0:37:17.000
<v Speaker 3>in alternatives.

0:37:17.040 --> 0:37:17.680
<v Speaker 2>Seems like a lot.

0:37:17.760 --> 0:37:19.320
<v Speaker 3>Is there a liquidity issue there?

0:37:19.640 --> 0:37:22.200
<v Speaker 9>Not really compared to some of our peers, and I know,

0:37:22.520 --> 0:37:25.920
<v Speaker 9>you know, other institutional investors were just under three hundred

0:37:25.920 --> 0:37:28.440
<v Speaker 9>billion dollars in assets, So I understand that there are

0:37:28.440 --> 0:37:31.640
<v Speaker 9>other managers out there that have forty forty five fifty

0:37:31.640 --> 0:37:34.560
<v Speaker 9>percent allocation to alternatives. We have ample liquidity through the

0:37:34.600 --> 0:37:38.120
<v Speaker 9>sixty five percent in public markets. Again, we're disciplined in

0:37:38.160 --> 0:37:41.320
<v Speaker 9>terms of putting money to work. Over time, we're benefiting

0:37:41.320 --> 0:37:44.960
<v Speaker 9>from vintage your diversification. We've actually been putting more money

0:37:44.960 --> 0:37:47.479
<v Speaker 9>to work in private assets over the last two years

0:37:47.480 --> 0:37:50.400
<v Speaker 9>with a change of our strategic as allocation, which has

0:37:50.440 --> 0:37:52.760
<v Speaker 9>been beneficial as others have pulled away from the markets.

0:37:52.800 --> 0:37:55.719
<v Speaker 9>We've been actually putting money to work, getting better economics,

0:37:55.719 --> 0:37:59.080
<v Speaker 9>better access to the top managers co investment, as well

0:37:59.120 --> 0:38:00.720
<v Speaker 9>to average down the feed expense.

0:38:01.120 --> 0:38:01.400
<v Speaker 5>All right.

0:38:01.400 --> 0:38:04.240
<v Speaker 3>Thanks to Stephen Meyer, chief Investment Officer and Deputy Comptroller

0:38:04.280 --> 0:38:06.960
<v Speaker 3>for Asset Management at New York City Retirement Systems.

0:38:08.160 --> 0:38:12.840
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