WEBVTT - Bloomberg Businessweek Weekend - October 6th, 2023

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<v Speaker 1>This is Bloomberg Business Week Inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Hi, everyone, Welcome to the weekend edition of Bloomberg Business Week. Well,

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<v Speaker 2>it was hard to keep track of the news flow.

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<v Speaker 2>I never had enough Bloomberg screens up. Tim, I've just

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<v Speaker 2>got to say a lot of stories this week with

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<v Speaker 2>Sam Mekmin Freed and Donald Trump in Court of course DC,

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<v Speaker 2>with Kevin McCarthy getting ousted from his role as House

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<v Speaker 2>speaker in a moment. We're going to hear from the

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<v Speaker 2>founder and executive chairman of logistics Giant XPO Trucking Giant

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<v Speaker 2>as well on how politics at home and abroad affect

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<v Speaker 2>his business and what higher rates really mean for the

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<v Speaker 2>macro outlook.

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<v Speaker 3>Also Ahead, Churchill's ken Kensal remains ultra bullish on private

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<v Speaker 3>credit despite rising defaults. We're also going to speak with

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<v Speaker 3>the head of Northwell Health on the promise in peril

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<v Speaker 3>of AI when it comes to the healthcare sector. In

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<v Speaker 3>the Bloomberg Equality Issue, it profiles entertainment local Tyler Perry,

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<v Speaker 3>who's become a one man towrtive force despite being largely

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<v Speaker 3>ignored by Hollywood studios.

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<v Speaker 2>I love this story, so many great nuggets in it.

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<v Speaker 2>All of that to come, We begin with the wild

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<v Speaker 2>week that was for global bonds.

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<v Speaker 3>I thought you were going to talk wild week for politics.

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<v Speaker 2>Oh yeah, check check, all right, yes, also for American politics.

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<v Speaker 2>It's how Speaker Kevin McCarthy was voted out of his role.

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<v Speaker 2>I mean, it's just kind of hard to still get

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<v Speaker 2>your head around all of it, and it's continuing to evolve.

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<v Speaker 2>All of this against the backdrop of a big batch

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<v Speaker 2>of US jobs market data, a lot for us to

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<v Speaker 2>talk about and to help us make sense of it all,

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<v Speaker 2>we turned to Bloomberg News rates reporter Michael McKenzie and,

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<v Speaker 2>as we mentioned, Brad Jacobs, founder and executive chair at XPO,

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<v Speaker 2>also the co founder of United Rental's former chair of

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<v Speaker 2>United Waste. He has lots of experience when it comes

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<v Speaker 2>to the real economy. Bloomberg Economics editor Molly Smith and

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<v Speaker 2>I wanted to know how closely he watches yields, and

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<v Speaker 2>this conversation happened about midweek.

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<v Speaker 4>That determines what you want to do with your capital spending.

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<v Speaker 4>Do you want to spend more, do you want to

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<v Speaker 4>spend less? Do you want to invest? So pay a

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<v Speaker 4>lot of attention to that.

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<v Speaker 2>Well, Michael coman in on it, and then lay it

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<v Speaker 2>out for us, because it's been kind of a wild

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<v Speaker 2>ride once again when it comes to global bonds here.

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<v Speaker 5>Yes it has, Carol, and I think the story remains.

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<v Speaker 5>People are still trying to work out whereas the top

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<v Speaker 5>and yields, particularly for ten year yields, which matter a

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<v Speaker 5>great deal for the US economy. That's the yield that

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<v Speaker 5>determines mortgages, and also it helps determine a lot of

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<v Speaker 5>the corporate boring costs. It made a run above for

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<v Speaker 5>eighty A lot of people talking maybe five percent, but

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<v Speaker 5>it wasn't that long ago. In fact, just a couple

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<v Speaker 5>of weeks ago when we were talking about four to

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<v Speaker 5>fifty was going to be the ceiling. So really, when

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<v Speaker 5>you talk to investors and bond managers, as I've been

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<v Speaker 5>doing for last a few days, there's still a census

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<v Speaker 5>shell shock out there.

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<v Speaker 6>Yeah, tell us rad if you want to come in here.

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<v Speaker 6>On the logistics perspective, this has got to be such

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<v Speaker 6>a tough environment to operate in right now, with the

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<v Speaker 6>idea that interest rates are high, I'm going to stay

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<v Speaker 6>that way for a while. Well, you've got goods demand

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<v Speaker 6>in the economy seems to be waning. I mean, how

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<v Speaker 6>are you managing this right now? And how would you

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<v Speaker 6>describe how the business is doing?

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<v Speaker 1>Well?

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<v Speaker 4>Interest rates are higher than what they work. They were

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<v Speaker 4>low for a while. But I'm an old dog. I

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<v Speaker 4>remember when interest rates were much higher than where they

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<v Speaker 4>are now.

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<v Speaker 2>But is that an important point because we keep saying perspective.

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<v Speaker 2>I remember working with folks who said, I remember having

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<v Speaker 2>a fifteen sixteen seventy percent mortgage rate.

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<v Speaker 4>I remember when hi yeal bonds were in the mid

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<v Speaker 4>teens and that was normal, and that.

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<v Speaker 1>Was for a number of years.

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<v Speaker 4>And I remember back at United Rentals when Leon Black

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<v Speaker 4>was on our board and.

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<v Speaker 2>He of a poll of fame, of course.

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<v Speaker 4>One of the first inventors of the junk bond, now

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<v Speaker 4>of the high yield called high yield, and I remember

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<v Speaker 4>when it when it went down to about ten percent.

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<v Speaker 4>He said, we got to get as much yielded as

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<v Speaker 4>hig yielded issue as much as Possiblely.

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<v Speaker 7>It's never going to go below here.

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<v Speaker 4>Of course it did and stayed there for a long time,

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<v Speaker 4>so I historically we're not at very high levels.

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<v Speaker 2>Michael, come on back in, because I think Brod brings

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<v Speaker 2>in a good point right when we talk about the

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<v Speaker 2>amount of money that continues to maybe come into the economy,

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<v Speaker 2>fuel it and continue to put pressure on the inflationary

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<v Speaker 2>side of things, what are the markets telling us about

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<v Speaker 2>monetary policy and inflation at this point.

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<v Speaker 5>Well, he raises a very good point, and I think

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<v Speaker 5>this is what the market has missed in particularly the

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<v Speaker 5>bomb market. At the beginning this year. They really thought

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<v Speaker 5>there was going to be a recession by now, and

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<v Speaker 5>that hasn't come to fruition. And in fact, the stimulus

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<v Speaker 5>coming through the Biden infrastructure and other plans is still

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<v Speaker 5>kicking in. So the key here is that's probably going

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<v Speaker 5>to keep employment pretty tight, and that's the one metric

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<v Speaker 5>that everyone's now watching. And until you see employment severely

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<v Speaker 5>weak and then suggest economies on a recessionary path, bond

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<v Speaker 5>yields are going to stay high and they may go higher.

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<v Speaker 5>And I think inflation is still fairly elevated. It's more

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<v Speaker 5>than double the Fed's targets. So that still has going

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<v Speaker 5>to take time to come down, but a sticky inflation environment,

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<v Speaker 5>you know, a Brazilian economy by the job sector, and

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<v Speaker 5>this fiscal stimul is still coming through from Washington. Rates

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<v Speaker 5>are higher for London.

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<v Speaker 2>I want to I'm curious, Brad, do you have a

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<v Speaker 2>question for a rates guy?

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<v Speaker 7>I do.

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<v Speaker 4>How confident are you in that? What's your level of

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<v Speaker 4>conviction on that? Because most people have gotten this completely

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<v Speaker 4>wrong last couple of years. I remember I was at

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<v Speaker 4>a trade organization for mostly fortune two hundred CEOs about

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<v Speaker 4>year and a half ago, and we voted on the

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<v Speaker 4>little slide o app of whether we're going to have

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<v Speaker 4>a severe recession or a monitor recession or no recession

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<v Speaker 4>or and n over ninety.

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<v Speaker 2>Percent conference poll but go ahead yes.

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<v Speaker 4>And and over ninety percent, well over ninety percent said

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<v Speaker 4>it was either going to be a severe recession or

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<v Speaker 4>a monitor recession last year. So obviously that never happened.

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<v Speaker 4>So it's how confident are you in your in your

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<v Speaker 4>in your prediction?

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<v Speaker 5>Wells as you made that, you made that point, Brian

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<v Speaker 5>so I was talking to investor this morning. He said

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<v Speaker 5>he thinks now the rates are at levels where you

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<v Speaker 5>will get a recession next year. However, he's still you know,

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<v Speaker 5>that's his gut feel, but he says, I still got

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<v Speaker 5>to check that I'm not confident enough that you know,

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<v Speaker 5>we will get a real slow down, and so therefore

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<v Speaker 5>it really I think the markets it's been saying recession, recession,

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<v Speaker 5>it's been caught out every time. I think it's still

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<v Speaker 5>going to take time for the stimulus to come through

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<v Speaker 5>and wear off. And I think the other real factor.

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<v Speaker 5>I think one of the big changes here is the

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<v Speaker 5>Bob mark has always been used to this idea that

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<v Speaker 5>oh our rates go up, something breaks, nothing's broken, And

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<v Speaker 5>I think the reason why we haven't really seen anything

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<v Speaker 5>break outside of course regional banks who've now been ring

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<v Speaker 5>fenced by the FED. And that's a very important point

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<v Speaker 5>because as long as they stay ring fenced, that's not

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<v Speaker 5>going to bleed into the economy as much. But I

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<v Speaker 5>think the key fact here is you've got a lot

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<v Speaker 5>of people sitting on thirty or six mortgages below three

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<v Speaker 5>percent who do not want to sell their homes and

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<v Speaker 5>take out a new mortgage. And you've got a lot

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<v Speaker 5>of companies that benefited from borrowing at very low rate

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<v Speaker 5>back in twenty one and twenty twenty, and again you're

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<v Speaker 5>not going to get that corporate bond hit that we

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<v Speaker 5>would have got from higher rates.

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<v Speaker 2>Delight to still have with us. Brad Jacobs, Founder and

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<v Speaker 2>executive chair at XPO. Your customers include everybody from Amazon, Apple,

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<v Speaker 2>eight Am, Low's, Walmart home depots, so many more companies.

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<v Speaker 2>And you have a global perspective. Where is though the

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<v Speaker 2>strongest parts of the global economy in your view, and

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<v Speaker 2>how does geopolitics potentially continue to kind of impact that.

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<v Speaker 7>Geopolitics is very important.

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<v Speaker 4>I think the two biggest things are obviously of Vladimir

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<v Speaker 4>Putin and Chi Jimpin, who could single handily, literally single

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<v Speaker 4>handedly you them, throw a pretty big monkey ranch into

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<v Speaker 4>whole world economy. Those are not insignificant possibilities. Those are

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<v Speaker 4>not one percent possibilities. So we have to pay attention

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<v Speaker 4>to that. But we can't be obsessed by that. We

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<v Speaker 4>can't just be.

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<v Speaker 7>Held down and just just.

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<v Speaker 4>Enamored but just that those features, so.

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<v Speaker 7>We just keep trucking along.

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<v Speaker 2>But okay, cute, But Brett, in terms of the pushback

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<v Speaker 2>against g you know, the globalization of the economy, and

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<v Speaker 2>we talk about that being pushed back. Do you see

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<v Speaker 2>that guy firsthand.

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<v Speaker 4>Yeah, so every so you mentioned before and increasingly so,

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<v Speaker 4>no question, but that she mentioned before some of the

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<v Speaker 4>customers you have. So I'm privileged to have windows into

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<v Speaker 4>g XO RXO XPO where we have a whole cross

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<v Speaker 4>section of customers right around the whole world, and so

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<v Speaker 4>you get to see a lot a lot of information

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<v Speaker 4>what's going on, and you also get to interact with

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<v Speaker 4>a lot of customers, a lot of boards of customers,

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<v Speaker 4>a lot of C suite. There's not a single board

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<v Speaker 4>in America that's not who has and has had business

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<v Speaker 4>in China. Who's not thinking I need to diversify away

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<v Speaker 4>from China. It's just the risk is too high. So

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<v Speaker 4>everyone universally is doing that.

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<v Speaker 2>What about the risks in our own political system? Does

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<v Speaker 2>that crop up? Does that bother you? Does that worry

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<v Speaker 2>you about? What happened this week with the Speaker of

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<v Speaker 2>the House.

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<v Speaker 4>Well, that's the two party system, and that's been going

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<v Speaker 4>on for a couple hundred years.

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<v Speaker 2>Do you consider it functional?

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<v Speaker 7>It's worked for two hundred years.

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<v Speaker 4>I mean so as a global traveler, I certainly would

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<v Speaker 4>not want to be in any of the countries that

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<v Speaker 4>have one party systems.

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<v Speaker 7>That's the worst.

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<v Speaker 4>I mean, there's a very repressive, horrible cultures. And this

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<v Speaker 4>is a country where, despite everyone fighting with each other

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<v Speaker 4>and calling each other's names and certain levels of dysfunction, we,

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<v Speaker 4>unlike China, don't have a million people in prison camps

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<v Speaker 4>because of their religion. We, unlike in Russia, we don't

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<v Speaker 4>have journalists like you. If you criticize the president, you

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<v Speaker 4>go to jail for eight years. So I mean, it's

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<v Speaker 4>still a great country, fantastic country.

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<v Speaker 6>When we're looking at some of the trends in the

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<v Speaker 6>US economy right now, I mean, we've been talking about

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<v Speaker 6>for so long the shift of preferences from goods to services,

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<v Speaker 6>and I would think from your perspective, that's probably the

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<v Speaker 6>last thing you would want to hear. You want people

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<v Speaker 6>to be buying stuff.

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<v Speaker 8>Right we are good.

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<v Speaker 4>All of the three companies I mentioned move goods one

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<v Speaker 4>way or another, So more goods is better than more services.

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<v Speaker 4>But for the economy as a whole, that's a normal cycle.

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<v Speaker 4>Sometimes it's more goods, some it's more services. We're not

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<v Speaker 4>in the best part of the cycle to be in transportation,

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<v Speaker 4>but there are specific things that each one of those

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<v Speaker 4>three companies are doing that are independent of the macro

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<v Speaker 4>to improve the businesses.

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<v Speaker 2>That was Brad Jacobs, founder and executive chairman at XBO,

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<v Speaker 2>along with Bloomberg's Michael Mackenzie. Brad, by the way, has

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<v Speaker 2>a new book coming out in January, How to Make

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<v Speaker 2>a few Billion dollars. More of our conversation on that

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<v Speaker 2>and on his portfolio of companies, it's all available on

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<v Speaker 2>the Business Week podcast feed. Molly Smith will be back

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<v Speaker 2>with us next hour. And I got to say Tim

0:10:24.120 --> 0:10:26.240
<v Speaker 2>Brad's going to come back to talk about that book.

0:10:26.360 --> 0:10:28.680
<v Speaker 2>And I've been exchanging conversations on LinkedIn.

0:10:28.920 --> 0:10:31.240
<v Speaker 3>Well, hopefully I'm there that you better be there. Yes,

0:10:31.440 --> 0:10:33.720
<v Speaker 3>he's a lot of market down you're listening to Bloomberg

0:10:33.720 --> 0:10:36.880
<v Speaker 3>business Week coming up. Why Churchill Asset Management CEO Ken

0:10:36.920 --> 0:10:40.880
<v Speaker 3>Kensel sees upside for his business despite upheaval in Washington

0:10:41.240 --> 0:10:44.000
<v Speaker 3>and the higher for longer rate environment, Well, we appear

0:10:44.040 --> 0:10:45.040
<v Speaker 3>to be destined.

0:10:44.640 --> 0:10:48.199
<v Speaker 9>For all of those dynamics. Has come one of the

0:10:48.200 --> 0:10:51.360
<v Speaker 9>most attractive opportunities that I've certainly seen in my career

0:10:52.000 --> 0:10:54.840
<v Speaker 9>in direct lending in private credit.

0:10:54.880 --> 0:10:57.240
<v Speaker 3>The head of New Ven's forty seven billion dollars private

0:10:57.280 --> 0:11:00.480
<v Speaker 3>capital affiliate joins us next, This is Bloomberg.

0:11:00.520 --> 0:11:04.000
<v Speaker 1>If you're listening to the Bloomberg Business Week podcast, catch

0:11:04.080 --> 0:11:07.440
<v Speaker 1>us live weekday afternoons from three to six Eastern Listen

0:11:07.480 --> 0:11:10.960
<v Speaker 1>on Bloomberg dot Com, the iHeartRadio app, and the Bloomberg

0:11:11.000 --> 0:11:13.640
<v Speaker 1>Business App, or watch us live on YouTube.

0:11:14.920 --> 0:11:17.559
<v Speaker 2>Banks, as you know, increasingly muscling in on the one

0:11:17.600 --> 0:11:20.120
<v Speaker 2>and a half trillion dollar private credit market in a

0:11:20.160 --> 0:11:23.400
<v Speaker 2>move that further blurs the lines between private lending funds

0:11:23.480 --> 0:11:27.120
<v Speaker 2>and their traditional banking rivals. Bloomberg News reporting this month

0:11:27.120 --> 0:11:30.880
<v Speaker 2>at Barklay's Associate General and Deutsche Bank have all made

0:11:30.920 --> 0:11:34.040
<v Speaker 2>concerted efforts to grab a slice of the lucrative, increasingly

0:11:34.120 --> 0:11:36.280
<v Speaker 2>lucrative corner of leverage finance.

0:11:36.679 --> 0:11:38.880
<v Speaker 3>Back with us for a temperature check on the private

0:11:38.920 --> 0:11:42.000
<v Speaker 3>credit world. As Ken can sell, he's president and CEO

0:11:42.120 --> 0:11:45.240
<v Speaker 3>of Churchill Asset Management Nevians, a forty seven billion dollar

0:11:45.320 --> 0:11:48.319
<v Speaker 3>private capital affiliate, which is the asset management arm of

0:11:48.440 --> 0:11:52.880
<v Speaker 3>trillion dollar financial services firm TIAA. Ken spoke with Carol

0:11:52.920 --> 0:11:56.040
<v Speaker 3>and Bloomberg Simone Foxman from the Greenwich Economic Forum in

0:11:56.080 --> 0:11:58.960
<v Speaker 3>Connecticut this past Tuesday. This was just ahead of Kevin

0:11:59.000 --> 0:12:01.840
<v Speaker 3>McCarthy officially using his post as House speaker.

0:12:02.720 --> 0:12:05.840
<v Speaker 9>Uncertainty is generally not a good thing, and certainly we've

0:12:05.880 --> 0:12:08.760
<v Speaker 9>had a lot of that over the last year. The

0:12:08.800 --> 0:12:12.120
<v Speaker 9>current environment that we've been you know, living through has

0:12:12.360 --> 0:12:17.760
<v Speaker 9>you know, certainly created a very challenging dynamic overall, and

0:12:17.760 --> 0:12:20.200
<v Speaker 9>and of course the banking termail in the spring, and

0:12:20.200 --> 0:12:22.760
<v Speaker 9>of course now some of the dynamics playing out of Washington.

0:12:23.200 --> 0:12:27.400
<v Speaker 9>But but I would say that out of those dynamics

0:12:27.440 --> 0:12:30.440
<v Speaker 9>has come one of the most attractive opportunities that that

0:12:30.480 --> 0:12:34.120
<v Speaker 9>I've certainly seen in my career in direct lending, in

0:12:34.120 --> 0:12:38.000
<v Speaker 9>in private credit. So I guess in that sense, you know,

0:12:38.040 --> 0:12:42.439
<v Speaker 9>I never wanted to wish for for dysfunction and uncertainty,

0:12:42.480 --> 0:12:46.320
<v Speaker 9>But but I will say that in many respects, you know,

0:12:46.440 --> 0:12:49.480
<v Speaker 9>private credit and direct lending, you know, unlike the GFC

0:12:49.679 --> 0:12:52.600
<v Speaker 9>Carrol you know, has been here if you will, to

0:12:52.679 --> 0:12:55.760
<v Speaker 9>kind of come to the rescue a bit by providing

0:12:56.240 --> 0:12:59.760
<v Speaker 9>the financing capital and lending capital and and ultimately growth

0:12:59.800 --> 0:13:03.840
<v Speaker 9>can capital to the companies that need that capital and

0:13:03.920 --> 0:13:06.160
<v Speaker 9>have you know, have done and have performed well through

0:13:06.160 --> 0:13:09.000
<v Speaker 9>the current environment. So in that sense, we're super busy

0:13:09.760 --> 0:13:12.839
<v Speaker 9>and hoping that if things settle down a bit. We

0:13:12.840 --> 0:13:16.000
<v Speaker 9>were certainly hoping for that post labor day that you know,

0:13:16.040 --> 0:13:17.040
<v Speaker 9>we get even busier.

0:13:17.600 --> 0:13:19.600
<v Speaker 10>Well, interesting that you talk about private credit like this,

0:13:19.800 --> 0:13:23.760
<v Speaker 10>because Bank of America actually put out a note they

0:13:23.840 --> 0:13:26.160
<v Speaker 10>said that private debt defaults are going to reach five

0:13:26.320 --> 0:13:29.880
<v Speaker 10>percent by early twenty twenty four because a lot of

0:13:29.960 --> 0:13:32.760
<v Speaker 10>deals one third of deals come due in the next

0:13:32.800 --> 0:13:33.959
<v Speaker 10>two and a half years.

0:13:35.440 --> 0:13:37.240
<v Speaker 2>Is that bad for private credit though?

0:13:39.679 --> 0:13:41.079
<v Speaker 9>Well, first of all, I'm not sure I agree with

0:13:41.120 --> 0:13:44.600
<v Speaker 9>those numbers. You know, the reality is if you look

0:13:44.640 --> 0:13:48.679
<v Speaker 9>at our portfolio or the portfolio of any number of

0:13:49.040 --> 0:13:52.640
<v Speaker 9>you know, what are arguably high quality, you know, the

0:13:52.760 --> 0:13:56.040
<v Speaker 9>top tier you know, private credit managers, you know, some

0:13:56.080 --> 0:13:58.400
<v Speaker 9>of which are publicly traded, I think what you would

0:13:58.440 --> 0:14:03.000
<v Speaker 9>see is generally portfolios have held up extremely well. So,

0:14:03.679 --> 0:14:06.640
<v Speaker 9>you know, I think that the prediction that default rates

0:14:06.920 --> 0:14:11.520
<v Speaker 9>would reach five percent is not supported by what we're

0:14:11.559 --> 0:14:13.960
<v Speaker 9>seeing today. Now, now that doesn't mean that it won't

0:14:14.120 --> 0:14:18.079
<v Speaker 9>won't play out, but I would say that just because

0:14:18.679 --> 0:14:22.320
<v Speaker 9>there's a maturity wall doesn't necessarily mean that those companies

0:14:22.400 --> 0:14:24.600
<v Speaker 9>are going to ultimately default. I mean, I think what

0:14:24.640 --> 0:14:27.680
<v Speaker 9>you may very well see, and you're already seeing it today,

0:14:27.760 --> 0:14:30.400
<v Speaker 9>is that you know, a lot of those companies are

0:14:30.440 --> 0:14:32.960
<v Speaker 9>going back to their lendings lenders and say, look, this

0:14:33.120 --> 0:14:35.640
<v Speaker 9>is a good business, it has strong cash flow, it's

0:14:35.680 --> 0:14:40.520
<v Speaker 9>performed well, and we need to extend and the frankly,

0:14:40.760 --> 0:14:43.800
<v Speaker 9>the reality is that to the extent that the businesses

0:14:43.880 --> 0:14:46.320
<v Speaker 9>have performed, the odds are very good that they can

0:14:46.360 --> 0:14:48.600
<v Speaker 9>work something out with their lenders and extend the maturity.

0:14:48.720 --> 0:14:54.880
<v Speaker 9>So I wouldn't necessarily equate maturities to defaults because you know,

0:14:54.960 --> 0:14:57.480
<v Speaker 9>as a direct lender is a private credit lender, you

0:14:57.520 --> 0:14:59.640
<v Speaker 9>know we have the ability to sit down with the

0:14:59.680 --> 0:15:03.400
<v Speaker 9>company and work out the dynamics if in fact those

0:15:03.480 --> 0:15:05.640
<v Speaker 9>need to be done. Now, it's a totally different story

0:15:06.040 --> 0:15:09.160
<v Speaker 9>if the company is performing poorly or underperforming it, or

0:15:09.280 --> 0:15:12.200
<v Speaker 9>you know, is otherwise not able to make its payments.

0:15:12.200 --> 0:15:16.960
<v Speaker 9>But I would not attribute just maturity to necessarily creating

0:15:16.960 --> 0:15:19.840
<v Speaker 9>that problem. And certainly we are not seeing evidence of

0:15:19.880 --> 0:15:23.000
<v Speaker 9>that today, so you know, it'll being to see how

0:15:23.360 --> 0:15:23.920
<v Speaker 9>that plays out.

0:15:24.080 --> 0:15:26.480
<v Speaker 2>Ken Raight, Defaults can tell one story, and you're saying

0:15:26.520 --> 0:15:29.160
<v Speaker 2>you're not necessarily seeing that, But in terms of rewriting

0:15:29.280 --> 0:15:31.880
<v Speaker 2>terms and working with your borrowers, are you doing a

0:15:31.920 --> 0:15:33.600
<v Speaker 2>lot more of that in this environment?

0:15:34.560 --> 0:15:38.160
<v Speaker 9>Frankly not right now, I would tell you that our

0:15:38.240 --> 0:15:42.800
<v Speaker 9>portfolio today, so we have investments in over five hundred

0:15:43.480 --> 0:15:47.720
<v Speaker 9>US mid market companies in in areas like healthcare and

0:15:47.840 --> 0:15:51.440
<v Speaker 9>software and business services. These are all backed or owned

0:15:51.480 --> 0:15:55.360
<v Speaker 9>by private equity investment firms, which is largely the case

0:15:55.360 --> 0:15:57.120
<v Speaker 9>for many of our peers. And I think, you know,

0:15:57.160 --> 0:16:00.000
<v Speaker 9>I've certainly had an opportunity to talk to my peers

0:16:00.040 --> 0:16:03.200
<v Speaker 9>You'rredish Economic Forum. Number of them are here. You know,

0:16:03.240 --> 0:16:05.640
<v Speaker 9>we trade notes, and I can tell you that our

0:16:05.680 --> 0:16:09.360
<v Speaker 9>portfolios overall are holding up quite well. So you know,

0:16:09.640 --> 0:16:16.280
<v Speaker 9>our quote unquote workout person is frankly not that busy. Surprisingly,

0:16:16.360 --> 0:16:19.560
<v Speaker 9>I think to some and and our new deal people,

0:16:19.720 --> 0:16:23.240
<v Speaker 9>you know, the folks that are underwriting new transactions are

0:16:23.240 --> 0:16:27.320
<v Speaker 9>actually quite busy. In fact, we had a very strong

0:16:27.360 --> 0:16:31.840
<v Speaker 9>we had a record quarter for a third quarter last quarter.

0:16:31.920 --> 0:16:34.360
<v Speaker 9>And you know, to the extent that you know, we

0:16:34.400 --> 0:16:40.360
<v Speaker 9>do get some clarity regarding the dynamics in and around

0:16:40.560 --> 0:16:44.480
<v Speaker 9>interest rates, and maybe a bit more certainty regarding potential

0:16:44.760 --> 0:16:48.360
<v Speaker 9>increases and interest rates and inflation. You know, I think

0:16:48.400 --> 0:16:52.120
<v Speaker 9>we could very well find ourselves in a relatively soft landing.

0:16:52.160 --> 0:16:54.480
<v Speaker 9>And if we do, you know, I think we'll see

0:16:54.560 --> 0:16:57.560
<v Speaker 9>M and A activity and transaction activity pick up, right

0:16:57.600 --> 0:17:00.360
<v Speaker 9>because I mean it's really you know, the markets really

0:17:00.400 --> 0:17:03.680
<v Speaker 9>waiting for some stability regarding rate. So there's a lot

0:17:03.720 --> 0:17:09.240
<v Speaker 9>of liquidity in private credit. Institutional investors are allocating significantly

0:17:09.280 --> 0:17:13.880
<v Speaker 9>to the space yields. Obviously, conditions are quite attractive right now,

0:17:14.520 --> 0:17:15.879
<v Speaker 9>and we're busy.

0:17:16.160 --> 0:17:19.160
<v Speaker 2>So I do wonder where you are seeing any cracks,

0:17:19.200 --> 0:17:22.239
<v Speaker 2>because I do wonder in this higher rate environment, and

0:17:22.280 --> 0:17:24.600
<v Speaker 2>we are going to be higher for longer, there's gone

0:17:24.720 --> 0:17:26.399
<v Speaker 2>there's going to be some problems. We know that.

0:17:26.640 --> 0:17:30.919
<v Speaker 9>We're absolutely absolutely and I would say that, you know,

0:17:30.960 --> 0:17:33.200
<v Speaker 9>in many respects, this is the kind of period where

0:17:33.640 --> 0:17:36.960
<v Speaker 9>you know, the lenders that maybe we're a bit more

0:17:36.960 --> 0:17:41.960
<v Speaker 9>aggressive and looked really good, you know, and getting higher returns,

0:17:41.960 --> 0:17:44.720
<v Speaker 9>but maybe taking on more risk. I think, are those

0:17:44.800 --> 0:17:47.240
<v Speaker 9>dynamics are coming home to roost? But I would say

0:17:47.320 --> 0:17:53.920
<v Speaker 9>overall yes, And I would say that where we see cracks,

0:17:53.960 --> 0:17:57.160
<v Speaker 9>if you will, and they're you know, certainly in our portfolio.

0:17:57.119 --> 0:17:59.880
<v Speaker 9>There are not many, but where we see them, they're

0:18:00.119 --> 0:18:05.239
<v Speaker 9>very episodic and they're not tied to a broad you know,

0:18:06.560 --> 0:18:10.600
<v Speaker 9>pullback in in economic condition. So for example, you know

0:18:11.240 --> 0:18:15.399
<v Speaker 9>a deal that was done a year ago where you

0:18:15.440 --> 0:18:19.160
<v Speaker 9>know they embarked upon an acquisition strategy in those acquisitions

0:18:19.200 --> 0:18:22.080
<v Speaker 9>did not play out as expected, or where there was

0:18:22.119 --> 0:18:26.840
<v Speaker 9>a fundamental premise regarding healthcare reimbursement rates and some shifts

0:18:26.840 --> 0:18:29.160
<v Speaker 9>in the way that they oriented the business that maybe

0:18:29.160 --> 0:18:33.040
<v Speaker 9>didn't play out as well. So there are certainly situations

0:18:33.320 --> 0:18:37.320
<v Speaker 9>that have not gone as well as planned, but not

0:18:38.000 --> 0:18:40.880
<v Speaker 9>a fundamental pullback of the type that we would have seen,

0:18:40.920 --> 0:18:43.800
<v Speaker 9>for example, in the GFC, in any way, shape or form.

0:18:43.880 --> 0:18:46.679
<v Speaker 11>So can I ask.

0:18:46.560 --> 0:18:48.119
<v Speaker 2>One last question, because we're run out of time. I

0:18:48.160 --> 0:18:49.800
<v Speaker 2>wish you know, when I speak with you, I always

0:18:49.800 --> 0:18:53.240
<v Speaker 2>want like an hour. They're thirty seconds quick because we

0:18:53.359 --> 0:18:57.120
<v Speaker 2>keep talking about you know, treasury levels. Pick your duration

0:18:57.400 --> 0:18:59.320
<v Speaker 2>back to levels of two thousand and seven, two thousand

0:18:59.320 --> 0:19:01.520
<v Speaker 2>and eight. I think today reminds you of the Great

0:19:01.560 --> 0:19:04.600
<v Speaker 2>Financial Crisis very quickly, like thirty seconds.

0:19:05.080 --> 0:19:05.399
<v Speaker 1>Yeah.

0:19:05.440 --> 0:19:07.840
<v Speaker 9>So I would say the pullback in the syndicated loan

0:19:07.880 --> 0:19:11.680
<v Speaker 9>markets in many respects as a carbon copy in that sense. Right,

0:19:11.760 --> 0:19:15.720
<v Speaker 9>So colo markets go dormant, liquid loan markets go dormant.

0:19:15.920 --> 0:19:19.359
<v Speaker 9>The difference this time direct lending is there lots of

0:19:19.400 --> 0:19:23.920
<v Speaker 9>liquidity lending capital to really go and support private equity.

0:19:24.040 --> 0:19:27.240
<v Speaker 9>So similar in the liquid markets, but different in the

0:19:27.280 --> 0:19:29.240
<v Speaker 9>sense that there are direct lenders there now to provide

0:19:29.240 --> 0:19:29.800
<v Speaker 9>that capital.

0:19:29.960 --> 0:19:33.360
<v Speaker 3>That was Ken Kensel, president and CEO of Churchill Asset Management,

0:19:33.640 --> 0:19:36.240
<v Speaker 3>along with Carol and Simone Foxman earlier this week.

0:19:36.359 --> 0:19:39.639
<v Speaker 2>Still ahead on Bloomberg Business Week, Jamie diamond says artificial

0:19:39.680 --> 0:19:42.320
<v Speaker 2>intelligence is going to help extend our lives and rid

0:19:42.440 --> 0:19:45.880
<v Speaker 2>us of terrible diseases such as cancer. Our next guest

0:19:45.920 --> 0:19:49.560
<v Speaker 2>heads a massive healthcare institution, and while he's optimistic about

0:19:49.600 --> 0:19:52.640
<v Speaker 2>the emerging technology, he's not ready to jump all in.

0:19:53.280 --> 0:19:58.560
<v Speaker 11>It provides extraordinary opportunity to improve clinical care, improve diagnosis,

0:19:58.600 --> 0:20:03.880
<v Speaker 11>analyze data, but it also brings with it from potential Danjos.

0:20:03.600 --> 0:20:07.000
<v Speaker 3>North Well Health CEO Michael Dowling stops by next. This

0:20:07.240 --> 0:20:07.879
<v Speaker 3>is Bloomberg.

0:20:08.840 --> 0:20:12.399
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:12.440 --> 0:20:16.480
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:20:16.640 --> 0:20:19.920
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:20:20.040 --> 0:20:23.160
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:20:23.600 --> 0:20:26.359
<v Speaker 1>Just Say Alexa playing Bloomberg eleven thirty.

0:20:28.880 --> 0:20:31.960
<v Speaker 12>Technology has done unbelievable things from mankind. But you know,

0:20:32.080 --> 0:20:35.080
<v Speaker 12>planes crash, pharmaccheries getting misused. There are negatives.

0:20:35.119 --> 0:20:35.479
<v Speaker 13>This is one.

0:20:35.560 --> 0:20:38.440
<v Speaker 12>The biggest negative in my view, is AI being used

0:20:38.440 --> 0:20:41.400
<v Speaker 12>by bad people to do bad things. Think of cyber

0:20:41.880 --> 0:20:45.960
<v Speaker 12>you know, Hemmy Kissinger talks about warfare, but you know

0:20:46.000 --> 0:20:48.000
<v Speaker 12>the fact and I do think you know, eventually have

0:20:48.080 --> 0:20:50.320
<v Speaker 12>legal guardrails around. It's kind of hard to do because

0:20:50.359 --> 0:20:53.320
<v Speaker 12>it's new, but it will add a huge value.

0:20:53.359 --> 0:20:54.880
<v Speaker 2>All right, So, Tim, we've been talking a lot about

0:20:54.880 --> 0:20:58.399
<v Speaker 2>this conversation that Jamie Diamond had with Bloomberg Originals Emily

0:20:58.520 --> 0:21:02.560
<v Speaker 2>Chang that over the next generation, AI, artificial intelligence is

0:21:02.600 --> 0:21:05.240
<v Speaker 2>going to have a profound impact not just on the

0:21:05.240 --> 0:21:07.240
<v Speaker 2>way we work, but also in a big way on

0:21:07.280 --> 0:21:07.640
<v Speaker 2>our health.

0:21:07.720 --> 0:21:09.439
<v Speaker 3>Yeah, here's what he said. Your children are going to

0:21:09.440 --> 0:21:12.480
<v Speaker 3>lift to one hundred and not have cancer because of technology,

0:21:12.760 --> 0:21:15.000
<v Speaker 3>and literally they'll probably be working three and a half

0:21:15.080 --> 0:21:18.040
<v Speaker 3>days a week, lift to one hundred, a world without

0:21:18.080 --> 0:21:19.439
<v Speaker 3>cancer three and.

0:21:19.440 --> 0:21:20.679
<v Speaker 7>A half day work weeks.

0:21:20.680 --> 0:21:21.199
<v Speaker 2>Sign me up.

0:21:21.280 --> 0:21:22.120
<v Speaker 7>Yeah sounds pretty great.

0:21:22.160 --> 0:21:22.240
<v Speaker 13>Right.

0:21:22.320 --> 0:21:23.760
<v Speaker 2>All right, So let's see what our next guest has

0:21:23.800 --> 0:21:25.840
<v Speaker 2>to say about the role AI will play in our health.

0:21:25.840 --> 0:21:29.399
<v Speaker 2>Michael Dolling back with us president and CEO at Northwell Health,

0:21:29.440 --> 0:21:32.359
<v Speaker 2>you know, the largest healthcare provider in New York, the

0:21:32.400 --> 0:21:35.480
<v Speaker 2>Northwell System, treating over two million New Yorkers each year

0:21:35.520 --> 0:21:38.760
<v Speaker 2>at twenty one hospitals eight hundred and ninety outpatient facilities.

0:21:39.040 --> 0:21:43.840
<v Speaker 2>You guys are hosting your annual Constellations Forum that focuses

0:21:43.880 --> 0:21:47.280
<v Speaker 2>on AI and healthcare Constellation Forum, I should say, And

0:21:47.320 --> 0:21:50.440
<v Speaker 2>you are focusing on AI and healthcare? How are you

0:21:50.440 --> 0:21:53.720
<v Speaker 2>guys and putting this together? Thinking about artificial intelligence, which

0:21:53.760 --> 0:21:55.560
<v Speaker 2>is not a new science.

0:21:55.920 --> 0:21:59.760
<v Speaker 11>As you just mentioned, AIA is not new. The capability

0:21:59.800 --> 0:22:04.680
<v Speaker 11>of the accelerated capability of it has been enhanced dramatically

0:22:04.760 --> 0:22:07.080
<v Speaker 11>over the last couple of years and that will continue

0:22:07.160 --> 0:22:10.440
<v Speaker 11>and it's going to be an integral part of whatever

0:22:10.560 --> 0:22:13.880
<v Speaker 11>everything that we do going forward. So we have to decide.

0:22:14.160 --> 0:22:16.560
<v Speaker 11>The big decision point for me is deciding what is

0:22:16.600 --> 0:22:19.640
<v Speaker 11>it good for and what is it not so good for?

0:22:20.080 --> 0:22:22.280
<v Speaker 11>And I think we will be going through that analysis

0:22:22.320 --> 0:22:26.280
<v Speaker 11>for quite a time because it provides extraordinary opportunity to

0:22:26.359 --> 0:22:32.200
<v Speaker 11>improve clinical care, improve diagnosis, analyze data, but it also

0:22:32.280 --> 0:22:36.280
<v Speaker 11>brings with it some potential dangers. You don't want the

0:22:36.480 --> 0:22:40.840
<v Speaker 11>machine brain to outpace the human brain so that the

0:22:40.920 --> 0:22:43.439
<v Speaker 11>human brain can't figure out what the machine brain is

0:22:43.480 --> 0:22:45.840
<v Speaker 11>doing to you. Okay, is something we have to be

0:22:45.920 --> 0:22:46.680
<v Speaker 11>very very careful.

0:22:46.760 --> 0:22:49.760
<v Speaker 3>Let's talk about the pluses before we get into the

0:22:49.760 --> 0:22:52.640
<v Speaker 3>potential dark side here, which sounds like, you know, something

0:22:52.640 --> 0:22:54.680
<v Speaker 3>out of a sci fi movie. What do you make

0:22:54.720 --> 0:22:57.679
<v Speaker 3>of what Jamie Diamond said earlier today? Your children are

0:22:57.720 --> 0:22:59.480
<v Speaker 3>going to lift to one hundred and not have cancer

0:23:00.080 --> 0:23:01.920
<v Speaker 3>because of AI technology?

0:23:02.119 --> 0:23:02.800
<v Speaker 7>Is that is that true?

0:23:02.960 --> 0:23:04.639
<v Speaker 11>I want I want to live to be one hundred

0:23:04.640 --> 0:23:05.880
<v Speaker 11>floss That's what we were.

0:23:05.760 --> 0:23:08.800
<v Speaker 2>Talking about earlier, me too here here, Yeah.

0:23:08.640 --> 0:23:09.679
<v Speaker 1>But is that where we are? Is that?

0:23:09.760 --> 0:23:10.760
<v Speaker 7>Is that an accurate thing to say?

0:23:10.840 --> 0:23:11.840
<v Speaker 2>Do you think we're getting nothing?

0:23:11.880 --> 0:23:12.240
<v Speaker 13>Class?

0:23:13.160 --> 0:23:15.720
<v Speaker 11>And I think we just got to be careful not

0:23:15.840 --> 0:23:20.320
<v Speaker 11>to over exaggerate. I think it can have wonderful potential

0:23:20.400 --> 0:23:25.440
<v Speaker 11>to allow us to identify the diseases earlier on, especially

0:23:25.480 --> 0:23:30.719
<v Speaker 11>with the genome sequencing. When you combine them the results

0:23:30.760 --> 0:23:33.639
<v Speaker 11>of the mapping of the human genome with AI, we

0:23:33.720 --> 0:23:36.399
<v Speaker 11>will be able to predetermine way way in advance what

0:23:36.520 --> 0:23:39.760
<v Speaker 11>you potentially could end up having problems with.

0:23:39.920 --> 0:23:41.919
<v Speaker 7>Okay, So then what would you do about it? To

0:23:41.960 --> 0:23:43.840
<v Speaker 7>intervene what would you do about.

0:23:43.640 --> 0:23:45.520
<v Speaker 3>That if you noticed somebody was set to get cancer.

0:23:46.640 --> 0:23:50.080
<v Speaker 11>Well, then I think that you've got to determine the

0:23:50.119 --> 0:23:53.840
<v Speaker 11>clinical leadership has the determine how you intervene, how you

0:23:55.040 --> 0:23:58.240
<v Speaker 11>how you change behavior so people act differently, What kind

0:23:58.240 --> 0:24:02.240
<v Speaker 11>of clinical treatments that you have to engage in to

0:24:02.320 --> 0:24:05.480
<v Speaker 11>allow people to live longer a member, in the last

0:24:06.119 --> 0:24:09.000
<v Speaker 11>fifty years or sixty years, we've added about thirty years

0:24:09.040 --> 0:24:13.240
<v Speaker 11>to life, as life expectancy back in the nineteen thirties

0:24:13.320 --> 0:24:15.439
<v Speaker 11>was around forty seven to fifty todays we're in the

0:24:15.480 --> 0:24:18.200
<v Speaker 11>seventies and eighties, so we've had major progress.

0:24:18.240 --> 0:24:19.600
<v Speaker 3>I do want to push back on this a little

0:24:19.600 --> 0:24:21.360
<v Speaker 3>bit because in recent years we've also seen it come

0:24:21.400 --> 0:24:24.040
<v Speaker 3>down as a result of COVID and drug overdoses.

0:24:24.920 --> 0:24:27.880
<v Speaker 11>Yeah, but that's a temporary thing. I mean that happens.

0:24:27.960 --> 0:24:31.040
<v Speaker 11>You look at the long term trend, not the short term.

0:24:31.640 --> 0:24:35.600
<v Speaker 11>You know, births in a statistic, it's the long term trend.

0:24:36.119 --> 0:24:38.280
<v Speaker 11>And sure, when you have a thing that COVID is

0:24:38.359 --> 0:24:40.639
<v Speaker 11>increase of mortality and it does come down a little bit,

0:24:40.680 --> 0:24:43.399
<v Speaker 11>But I don't think that's something that will set a

0:24:43.440 --> 0:24:44.600
<v Speaker 11>prediction for the future.

0:24:45.160 --> 0:24:49.119
<v Speaker 2>What do you believe will be the most significant changes

0:24:49.840 --> 0:24:55.960
<v Speaker 2>in healthcare that helps patients live longer and live a better,

0:24:56.040 --> 0:24:56.960
<v Speaker 2>longer life.

0:24:57.160 --> 0:25:00.240
<v Speaker 11>The biggest change in my view, to make those results

0:25:00.800 --> 0:25:04.200
<v Speaker 11>a reality. It goes beyond the delivery of medical care.

0:25:04.920 --> 0:25:08.800
<v Speaker 11>It has to do with lifestyle and behavior, so all

0:25:08.840 --> 0:25:12.160
<v Speaker 11>of the social determinants of health. It has to deal

0:25:12.240 --> 0:25:15.320
<v Speaker 11>with some of the societal issues. I mean, have we

0:25:15.480 --> 0:25:18.879
<v Speaker 11>do a great job of taking care of you after

0:25:18.920 --> 0:25:21.360
<v Speaker 11>you get sick, but we have to do a much

0:25:21.359 --> 0:25:23.440
<v Speaker 11>better job of taking care of you before you get sick,

0:25:23.480 --> 0:25:28.040
<v Speaker 11>so you can prolong life. But that involves finding ways

0:25:28.080 --> 0:25:31.280
<v Speaker 11>to get people to improve their own health, prove their

0:25:31.320 --> 0:25:34.960
<v Speaker 11>own lifestyle. And that's just where AI can also be very,

0:25:35.040 --> 0:25:38.600
<v Speaker 11>very helpful to be able to do the analytics right,

0:25:38.720 --> 0:25:40.439
<v Speaker 11>to be able to tell you what people should be

0:25:40.480 --> 0:25:43.560
<v Speaker 11>doing to improve their own situations and not dependent upon

0:25:43.640 --> 0:25:44.280
<v Speaker 11>others all the time.

0:25:44.320 --> 0:25:46.680
<v Speaker 2>We'll go back to that idea of genetic mapping, and

0:25:46.760 --> 0:25:49.359
<v Speaker 2>you know, we're born, we get a map and we

0:25:49.440 --> 0:25:52.960
<v Speaker 2>can already see what might be the potential problems. Maybe

0:25:52.960 --> 0:25:54.960
<v Speaker 2>it's hard problems, so then maybe we know from the

0:25:55.040 --> 0:25:57.720
<v Speaker 2>get go that we have an awareness. I think about

0:25:57.800 --> 0:26:00.439
<v Speaker 2>kids who are born, you know, who have you know,

0:26:00.880 --> 0:26:04.600
<v Speaker 2>diabetes from a young age or or different issues if

0:26:04.600 --> 0:26:08.280
<v Speaker 2>you will, you know from a young age, they that's

0:26:08.320 --> 0:26:13.400
<v Speaker 2>their life and they grow into or grow with that

0:26:13.520 --> 0:26:16.560
<v Speaker 2>problem and just from the get go look at life

0:26:16.600 --> 0:26:18.280
<v Speaker 2>differently in terms of what they eat and what they

0:26:18.320 --> 0:26:20.479
<v Speaker 2>need to do. And I do wonder if we had

0:26:20.520 --> 0:26:24.440
<v Speaker 2>that map from the get go, whether it's removing organs,

0:26:24.480 --> 0:26:27.359
<v Speaker 2>treating things differently, like, I just wonder, can we do

0:26:27.440 --> 0:26:29.720
<v Speaker 2>it better at a much earlier stage.

0:26:29.920 --> 0:26:34.080
<v Speaker 11>Absolutely, I think that you'll be doing genome sequencing of

0:26:34.200 --> 0:26:37.640
<v Speaker 11>all kids within a couple of years in most children's hospitals.

0:26:37.840 --> 0:26:41.520
<v Speaker 11>We are investigating that possibility right now here at not

0:26:41.680 --> 0:26:45.920
<v Speaker 11>Well as part of our children's hospital. So I think

0:26:45.960 --> 0:26:48.800
<v Speaker 11>that that's where it will start, mostly with children, and

0:26:48.840 --> 0:26:51.240
<v Speaker 11>then I think it will expand to be doing genome

0:26:51.359 --> 0:26:56.400
<v Speaker 11>sequencing with adults. But let's be let's be cautious here

0:26:56.560 --> 0:27:00.879
<v Speaker 11>because while it offers wonderful, wonderful potential, we don't fully

0:27:01.000 --> 0:27:04.119
<v Speaker 11>know all of the implications yet, and we don't fully

0:27:04.200 --> 0:27:09.359
<v Speaker 11>understand all of the ethical issues involved. So you know,

0:27:09.480 --> 0:27:12.879
<v Speaker 11>you find out something about somebody or some family member,

0:27:13.560 --> 0:27:15.960
<v Speaker 11>what extent do you disclose it what extent do you

0:27:16.000 --> 0:27:19.280
<v Speaker 11>share it, how should it be shared, and when should

0:27:19.359 --> 0:27:21.280
<v Speaker 11>it be shared. All of these issues have to be

0:27:21.320 --> 0:27:24.560
<v Speaker 11>worked out very very carefully over the next couple of years.

0:27:24.920 --> 0:27:27.840
<v Speaker 11>So the enormous potential is here with the combination of

0:27:27.880 --> 0:27:31.040
<v Speaker 11>genome secreting and AI. But I think we're going to

0:27:31.160 --> 0:27:33.320
<v Speaker 11>a process over the next couple of years to figure

0:27:33.320 --> 0:27:36.520
<v Speaker 11>out how to make use of it as appropriately as

0:27:36.560 --> 0:27:41.120
<v Speaker 11>we possibly can and not overreact. Not on the react either,

0:27:41.160 --> 0:27:44.480
<v Speaker 11>but not overreact. A little bit of caution is important here.

0:27:44.680 --> 0:27:48.640
<v Speaker 11>It's especially given the situations you're seeing with chat GIPG recently,

0:27:48.720 --> 0:27:53.200
<v Speaker 11>where it produces lots of controversial information that's not correct.

0:27:53.320 --> 0:27:55.760
<v Speaker 11>You cannot be doing that in the healthcare sphere. It's

0:27:55.840 --> 0:27:56.680
<v Speaker 11>just too dangerous.

0:27:56.800 --> 0:27:59.360
<v Speaker 3>But there's something kind of strange happening here where we're

0:27:59.400 --> 0:28:02.560
<v Speaker 3>talking about AI, Carol and what it can do in

0:28:02.560 --> 0:28:04.879
<v Speaker 3>the future, because you know, there's this article in the

0:28:04.920 --> 0:28:08.120
<v Speaker 3>current edition of Bloomberg Business Week about a moxicillin shortage

0:28:08.119 --> 0:28:09.399
<v Speaker 3>here in the US. I mean, we're talking about a

0:28:09.440 --> 0:28:11.919
<v Speaker 3>drug that was discovered more than fifty years ago. And

0:28:11.960 --> 0:28:15.639
<v Speaker 3>I lived this nightmare on Friday when my son was

0:28:15.680 --> 0:28:18.720
<v Speaker 3>diagnosed with an ear infection, and the doctor had to

0:28:18.760 --> 0:28:22.920
<v Speaker 3>spend a half hour of her time calling different pharmacies

0:28:22.960 --> 0:28:26.560
<v Speaker 3>around Brooklyn trying to find a ten day supply of

0:28:26.560 --> 0:28:30.480
<v Speaker 3>antibiotics a moxicillan that ended up costing me three dollars

0:28:30.480 --> 0:28:34.000
<v Speaker 3>and sixteen cents when she finally found it. Michael, she

0:28:34.119 --> 0:28:36.160
<v Speaker 3>wasted so much time doing this. How are we talking

0:28:36.200 --> 0:28:39.160
<v Speaker 3>about world where AI helps us live to one hundred

0:28:39.400 --> 0:28:41.360
<v Speaker 3>but we can't get a moxicillin.

0:28:42.400 --> 0:28:42.760
<v Speaker 14>Well.

0:28:42.800 --> 0:28:44.920
<v Speaker 11>But that's why you've got to be This is why

0:28:44.920 --> 0:28:46.760
<v Speaker 11>you've got to be a little bit cautious. As I said,

0:28:46.760 --> 0:28:49.440
<v Speaker 11>this is why you can automatically assumed that there's a

0:28:49.480 --> 0:28:52.400
<v Speaker 11>new technology coming into play that is going to just

0:28:52.480 --> 0:28:55.800
<v Speaker 11>solve everything immediately. There's a lot of all the issues involved.

0:28:56.040 --> 0:28:58.440
<v Speaker 11>I mean, one of the biggest changes in healthcare is

0:28:58.480 --> 0:29:01.280
<v Speaker 11>moving more and more healthcare out into the community, expanding

0:29:01.320 --> 0:29:05.160
<v Speaker 11>ambulatory care. I'm moving stuff out of the hospital, be

0:29:05.240 --> 0:29:09.400
<v Speaker 11>less hospital centric. The whole supply chain issues, the whole

0:29:09.480 --> 0:29:13.160
<v Speaker 11>labor cost issues, all of these things are all part

0:29:13.200 --> 0:29:15.480
<v Speaker 11>of the complete package that you've got to deal with.

0:29:15.720 --> 0:29:19.480
<v Speaker 11>There is no warm magic, I know, pure all just

0:29:19.520 --> 0:29:21.720
<v Speaker 11>because you have a new technology. It's how we used

0:29:21.720 --> 0:29:25.200
<v Speaker 11>that technology in the context of the whole environment that

0:29:25.320 --> 0:29:27.840
<v Speaker 11>makes if we do it right, we'll improve.

0:29:27.520 --> 0:29:30.800
<v Speaker 3>Everything our Thanks to Michael Dowling, the president and CEO

0:29:30.880 --> 0:29:34.400
<v Speaker 3>at Northwell Health, his organization is the largest healthcare provider

0:29:34.400 --> 0:29:36.520
<v Speaker 3>in New York. We spoke with him ahead of north

0:29:36.520 --> 0:29:39.920
<v Speaker 3>Well's annual constellation for him, which took place on Thursday.

0:29:40.120 --> 0:29:43.160
<v Speaker 2>You're listening to Bloomberg business Week. Up next, we'll dig

0:29:43.200 --> 0:29:46.520
<v Speaker 2>into the Bloomberg Business Week Equality Issue, which lays out

0:29:46.520 --> 0:29:48.600
<v Speaker 2>a corporate promise made and kept.

0:29:49.040 --> 0:29:53.120
<v Speaker 15>The important thing is that it does appear that when pushed,

0:29:53.600 --> 0:29:55.080
<v Speaker 15>the companies can make change.

0:29:55.120 --> 0:29:56.200
<v Speaker 2>This is Bloomberg.

0:29:56.680 --> 0:30:00.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast just live

0:30:00.600 --> 0:30:04.240
<v Speaker 1>weekday afternoons from three to six Eastern Listen on Bloomberg

0:30:04.280 --> 0:30:07.720
<v Speaker 1>dot com, the iHeartRadio app, and the Bloomberg Business app,

0:30:08.000 --> 0:30:09.720
<v Speaker 1>or watch us live on YouTube.

0:30:11.080 --> 0:30:14.040
<v Speaker 2>So remember, amid the pandemic and more importantly, following the

0:30:14.120 --> 0:30:17.200
<v Speaker 2>murder of George Floyd, how we heard from Corporate America

0:30:17.360 --> 0:30:20.600
<v Speaker 2>big time making big statements and promises when it comes

0:30:20.600 --> 0:30:23.880
<v Speaker 2>to diversity. Well, it turns out, Tim it wasn't just talk.

0:30:24.160 --> 0:30:27.160
<v Speaker 3>This data driven feature was a recent Bloomberg Big Take

0:30:27.440 --> 0:30:29.360
<v Speaker 3>and can also be found in the Equality issue of

0:30:29.360 --> 0:30:32.600
<v Speaker 3>Bloomberg BusinessWeek magazine. We encourage you to view it online

0:30:32.680 --> 0:30:34.400
<v Speaker 3>and on the terminal to get a better sense of

0:30:34.400 --> 0:30:37.440
<v Speaker 3>these important numbers, and it's got a really cool graphical interface.

0:30:37.680 --> 0:30:40.480
<v Speaker 3>Bloomberg News Managing Diversity reporter Jeff Green is here to

0:30:40.560 --> 0:30:42.400
<v Speaker 3>help us break the whole thing down.

0:30:43.080 --> 0:30:45.520
<v Speaker 15>We took a look at the sm P one hundred,

0:30:45.800 --> 0:30:47.440
<v Speaker 15>well at least eighty eight of the S and P

0:30:47.480 --> 0:30:50.200
<v Speaker 15>one hundred where we had data from twenty twenty to

0:30:50.200 --> 0:30:53.440
<v Speaker 15>twenty twenty one, so the year after George Floyd, to

0:30:53.520 --> 0:30:57.240
<v Speaker 15>see what actually happened with their workforce after what they promised.

0:30:57.560 --> 0:31:00.120
<v Speaker 15>So when we looked at the net added workers, that

0:31:00.160 --> 0:31:05.120
<v Speaker 15>means everything'subpracted. Everything added. The three hundred plus thousand workers

0:31:05.120 --> 0:31:07.959
<v Speaker 15>that were in the S and P one hundred companies

0:31:08.000 --> 0:31:11.120
<v Speaker 15>that weren't there in twenty twenty, ninety four percent of

0:31:11.160 --> 0:31:13.320
<v Speaker 15>them were people of color. And the first time we

0:31:13.360 --> 0:31:15.720
<v Speaker 15>saw it, we figured we must have done something wrong.

0:31:15.760 --> 0:31:18.560
<v Speaker 15>So we kept digging, and it's just that's the number.

0:31:18.800 --> 0:31:18.960
<v Speaker 13>You know.

0:31:19.000 --> 0:31:21.280
<v Speaker 2>It's interesting, John, because I feel like coming out of

0:31:21.280 --> 0:31:25.240
<v Speaker 2>the pandemic you're seeing it feels like some of the conversations.

0:31:25.360 --> 0:31:28.760
<v Speaker 2>I mean, Jeff, excuse me, some of the conversations, and

0:31:29.240 --> 0:31:31.959
<v Speaker 2>you know, narrative roll back a little bit. But what

0:31:32.000 --> 0:31:35.000
<v Speaker 2>you're saying is companies actually went out and did it.

0:31:36.080 --> 0:31:38.480
<v Speaker 15>Yeah, well, the narrative that's being rolled back now was

0:31:38.480 --> 0:31:41.120
<v Speaker 15>not the narrative they were acting on in twenty twenty

0:31:41.400 --> 0:31:43.760
<v Speaker 15>into twenty twenty one. So that is a big question

0:31:43.840 --> 0:31:45.400
<v Speaker 15>that is going to be you know, we're going to

0:31:45.400 --> 0:31:48.040
<v Speaker 15>be watching is as twenty twenty two data becomes available,

0:31:48.040 --> 0:31:50.600
<v Speaker 15>which won't be till sometime next year. They don't have

0:31:50.680 --> 0:31:53.560
<v Speaker 15>to turn this in till December, so sometime next year

0:31:53.600 --> 0:31:56.400
<v Speaker 15>will get a sense of what happened next. And you know,

0:31:56.480 --> 0:31:59.360
<v Speaker 15>more importantly, I guess is, whenever we see twenty twenty

0:31:59.360 --> 0:32:01.600
<v Speaker 15>three data, what did that really mean? But I mean,

0:32:01.640 --> 0:32:06.040
<v Speaker 15>the important thing is that it does appear that when pushed,

0:32:06.480 --> 0:32:08.600
<v Speaker 15>the companies can make change. There's a lot of other

0:32:08.640 --> 0:32:11.800
<v Speaker 15>factors that went into this, obviously, because there are demographic

0:32:11.880 --> 0:32:14.800
<v Speaker 15>changes going on. The pandemic was very disruptive. We had

0:32:14.840 --> 0:32:17.240
<v Speaker 15>people of color being brought back in quickly to a

0:32:17.280 --> 0:32:20.480
<v Speaker 15>workforce after people over adjusted and got rid of frontline

0:32:20.480 --> 0:32:22.800
<v Speaker 15>workers not understanding how things going to work. There's many

0:32:22.840 --> 0:32:25.480
<v Speaker 15>factors at play here, but when we dig into it,

0:32:25.520 --> 0:32:27.560
<v Speaker 15>we still think some of it had to be on purpose.

0:32:28.280 --> 0:32:32.800
<v Speaker 2>Jeff having said that in most cases right, diversity or

0:32:32.840 --> 0:32:36.480
<v Speaker 2>people of color are still very way, way underrepresented when

0:32:36.520 --> 0:32:38.320
<v Speaker 2>it comes to what you find at companies.

0:32:39.400 --> 0:32:42.600
<v Speaker 15>Well, in this sample, because these are the biggest companies,

0:32:42.800 --> 0:32:47.360
<v Speaker 15>it's about fifty to fifty overall white and versus people

0:32:47.400 --> 0:32:50.240
<v Speaker 15>of color, which is higher than the workforce in the country,

0:32:50.280 --> 0:32:53.640
<v Speaker 15>which is more like seventy percent white. However, when you

0:32:53.720 --> 0:32:56.320
<v Speaker 15>look at that, when you look at the workforces, even here,

0:32:56.840 --> 0:33:01.080
<v Speaker 15>the higher paying, more power jobs are still underrepresented. There

0:33:01.120 --> 0:33:03.560
<v Speaker 15>are still a smaller proportion of people of color in

0:33:03.640 --> 0:33:06.440
<v Speaker 15>those jobs. But it did get better at every level

0:33:06.560 --> 0:33:07.920
<v Speaker 15>in the data that we looked at.

0:33:08.400 --> 0:33:10.600
<v Speaker 3>So, Jeff, talk to us though about the types of

0:33:10.680 --> 0:33:13.480
<v Speaker 3>jobs that these folks were hired for, because it's not

0:33:13.560 --> 0:33:15.760
<v Speaker 3>just that they were hired, we know what types of

0:33:15.840 --> 0:33:18.080
<v Speaker 3>jobs these people were hired for.

0:33:18.640 --> 0:33:21.480
<v Speaker 15>Well, yeah, to some degree, there was a predominant of

0:33:21.720 --> 0:33:25.360
<v Speaker 15>entry level jobs, those that maybe don't require a degree.

0:33:25.600 --> 0:33:28.960
<v Speaker 15>But even at the level where a degree would probably

0:33:28.960 --> 0:33:31.920
<v Speaker 15>be required or there would be a promotion required, we

0:33:32.040 --> 0:33:35.280
<v Speaker 15>did see movement I mean, we focused on Amazon, which

0:33:35.400 --> 0:33:38.560
<v Speaker 15>net Net didn't change the overall racial breakdown of their

0:33:38.600 --> 0:33:42.840
<v Speaker 15>company after hiring thousands of people, but they did push

0:33:42.920 --> 0:33:45.320
<v Speaker 15>people of color up in the power structure. I mean,

0:33:45.320 --> 0:33:48.680
<v Speaker 15>it was a very interesting move which you looked to

0:33:48.680 --> 0:33:51.320
<v Speaker 15>be purposeful once again in the way that they approached

0:33:51.880 --> 0:33:55.240
<v Speaker 15>their hiring and promotions.

0:33:55.440 --> 0:33:59.240
<v Speaker 3>That's Bloomberg News Managing Diversity reporter Jeff Green. His story

0:33:59.280 --> 0:34:01.080
<v Speaker 3>is an the current is of business Week. It's the

0:34:01.160 --> 0:34:04.200
<v Speaker 3>equality issue, and it's available now on newstands, online and

0:34:04.520 --> 0:34:05.560
<v Speaker 3>on the Bloomberg terminal.

0:34:05.600 --> 0:34:07.120
<v Speaker 2>And that wraps up the first hour of the weekend

0:34:07.240 --> 0:34:10.040
<v Speaker 2>edition of Bloomberg Business Week from Bloomberg Radio. Ahead in

0:34:10.080 --> 0:34:12.960
<v Speaker 2>our next hour, more from our magazine team, including the

0:34:13.000 --> 0:34:17.040
<v Speaker 2>domestic cover story, which profiles the entertainment mogul that Hollywood

0:34:17.160 --> 0:34:20.840
<v Speaker 2>ignored for a long time until now. We're talking about

0:34:21.000 --> 0:34:21.720
<v Speaker 2>Tyler Perry.

0:34:21.960 --> 0:34:24.640
<v Speaker 3>Plus with much of America keeping an eye on court

0:34:24.640 --> 0:34:28.400
<v Speaker 3>cases involving former President Donald Trump and fallen crypto mogul

0:34:28.440 --> 0:34:31.680
<v Speaker 3>Sam Bankman Freed, we look at the critical issues facing

0:34:31.719 --> 0:34:34.279
<v Speaker 3>the nation's highest court as it enters a new term

0:34:34.360 --> 0:34:37.799
<v Speaker 3>with guns, abortion, the limits of federal power, and much more.

0:34:37.920 --> 0:34:38.600
<v Speaker 3>On the docket.

0:34:38.640 --> 0:34:41.279
<v Speaker 2>This is Bloomberg Business Week. I'm Carol Masser.

0:34:41.080 --> 0:34:42.040
<v Speaker 3>And I'm tim Stenaveeck.

0:34:42.120 --> 0:34:42.640
<v Speaker 7>Stay with us.

0:34:42.680 --> 0:34:45.399
<v Speaker 3>Today's top stories and global business headlines are coming up.

0:34:45.560 --> 0:34:46.080
<v Speaker 7>Right now.

0:34:47.200 --> 0:34:50.799
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:34:50.840 --> 0:34:54.840
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:34:55.040 --> 0:34:58.320
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:34:58.400 --> 0:35:01.960
<v Speaker 1>live on Amazon Alexa, our flagship New York station, jo

0:35:02.120 --> 0:35:04.760
<v Speaker 1>Say Alexa play Bloomberg eleven thirty.

0:35:06.520 --> 0:35:08.399
<v Speaker 2>Plenty ahead in our second hour of the weekend edition

0:35:08.440 --> 0:35:11.319
<v Speaker 2>of Bloomberg Business Week, including our domestic cover story on

0:35:11.400 --> 0:35:14.640
<v Speaker 2>Tyler Perry's self made media empire, which he built without

0:35:14.880 --> 0:35:16.040
<v Speaker 2>much help from Hollywood.

0:35:16.160 --> 0:35:20.160
<v Speaker 3>Plus the CEO of the regenerative agricultural company Regrow on

0:35:20.320 --> 0:35:24.120
<v Speaker 3>using data to drive sustainability, and some key legislation that's

0:35:24.120 --> 0:35:25.080
<v Speaker 3>set to help the cause.

0:35:25.200 --> 0:35:27.919
<v Speaker 2>That legislation coming from your home state. All right, First

0:35:28.000 --> 0:35:30.800
<v Speaker 2>up this hour the Bloomberg Business Week Equality Issue, covering

0:35:30.840 --> 0:35:33.880
<v Speaker 2>a lot this week, including the US Supreme Court opening

0:35:33.960 --> 0:35:36.680
<v Speaker 2>up a new term, the remarks in the latest edition

0:35:36.760 --> 0:35:40.800
<v Speaker 2>of the magazine ponder where its conservative revolution might go next.

0:35:41.120 --> 0:35:44.239
<v Speaker 2>One federal Appeals Court already has lots of ideas.

0:35:44.520 --> 0:35:46.440
<v Speaker 3>In the next nine months, an outside share of the

0:35:46.520 --> 0:35:49.799
<v Speaker 3>High Court's biggest cases will come from the ultra conservative

0:35:49.880 --> 0:35:53.480
<v Speaker 3>Fifth US Circuit Court of Appeals. Those far reaching rulings

0:35:53.480 --> 0:35:56.959
<v Speaker 3>are providing impossible, are proving impossible for the Supreme Court

0:35:56.960 --> 0:36:00.520
<v Speaker 3>to ignore. Cases involving federal regulatory power, guns and probably

0:36:00.560 --> 0:36:03.359
<v Speaker 3>abortion in social media regulation are going to test Carrol

0:36:03.560 --> 0:36:06.239
<v Speaker 3>just how far the Supreme Court's conservative majority wants to

0:36:06.280 --> 0:36:08.640
<v Speaker 3>go in remaking the nation's legal landscape.

0:36:08.680 --> 0:36:12.120
<v Speaker 2>We're all watching closely. Greg Stores, Bloomberg News Supreme Court reporter,

0:36:12.200 --> 0:36:15.239
<v Speaker 2>writes for Bloomberg BusinessWeek about the conservative Fifth Circuit and

0:36:15.280 --> 0:36:18.600
<v Speaker 2>the key decisions that could come in the Justice's next terms.

0:36:18.640 --> 0:36:21.560
<v Speaker 2>He joins us from Washington, DC. Also here the edit

0:36:21.600 --> 0:36:25.040
<v Speaker 2>of Bloomberg Business Week. Joel Weber with us at Bloomberg headquarters.

0:36:25.080 --> 0:36:26.600
<v Speaker 2>I feel like the fourth quarter is a big one

0:36:26.640 --> 0:36:29.279
<v Speaker 2>on so many different levels, Joel, but definitely for the

0:36:29.360 --> 0:36:30.359
<v Speaker 2>nation's highest court.

0:36:31.160 --> 0:36:33.920
<v Speaker 16>So this is the beginning of a new term for

0:36:34.000 --> 0:36:38.760
<v Speaker 16>the Supreme Court, and Greg has become indispensable in writing

0:36:39.480 --> 0:36:42.279
<v Speaker 16>sort of these walk ups and helping us make sense

0:36:42.320 --> 0:36:47.120
<v Speaker 16>of these moments. Obviously, the Supreme Court has made a

0:36:47.200 --> 0:36:51.600
<v Speaker 16>number of interesting and controversial and headline making decisions within

0:36:51.640 --> 0:36:55.399
<v Speaker 16>the last couple of years. What he flagged heading into

0:36:55.480 --> 0:36:59.000
<v Speaker 16>this one is that the Fifth Circuit is the area

0:36:59.040 --> 0:37:03.480
<v Speaker 16>of the country that is basically an appellate court that

0:37:03.600 --> 0:37:07.360
<v Speaker 16>has a lot of very conservative judges, and this term

0:37:07.480 --> 0:37:12.120
<v Speaker 16>in particular has a number of cases that originate with

0:37:12.160 --> 0:37:14.440
<v Speaker 16>that appellate court. So, greg what does it all mean

0:37:14.480 --> 0:37:15.960
<v Speaker 16>and help us make sense of it all?

0:37:17.040 --> 0:37:20.360
<v Speaker 17>Well, it means a number of things. It starts in

0:37:20.840 --> 0:37:23.200
<v Speaker 17>starts off with some big cases involving the power of

0:37:23.239 --> 0:37:26.560
<v Speaker 17>federal regulatory agencies. There's a case with the Court's going

0:37:26.600 --> 0:37:29.600
<v Speaker 17>to be hearing tomorrow involving the Consumer Financial Protection Bureau,

0:37:29.680 --> 0:37:34.000
<v Speaker 17>that's the entity that regulates things like mortgages and auto

0:37:34.080 --> 0:37:36.920
<v Speaker 17>loans set up after the two thousand and eight financial collapse.

0:37:37.360 --> 0:37:41.520
<v Speaker 17>And then it's got cases involving guns and almost certainly

0:37:41.560 --> 0:37:43.759
<v Speaker 17>abortions coming up later on in the term, and they're

0:37:43.800 --> 0:37:46.759
<v Speaker 17>really going to shape how far the Supreme Court's going

0:37:46.800 --> 0:37:47.560
<v Speaker 17>to go this term.

0:37:48.360 --> 0:37:52.000
<v Speaker 16>Okay, So the Fifth Circuit talk to us about what

0:37:52.120 --> 0:37:58.560
<v Speaker 16>they oversee and their jurisdiction, and also what makes this

0:37:58.680 --> 0:37:59.960
<v Speaker 16>time so different?

0:38:00.840 --> 0:38:05.000
<v Speaker 17>Yeah. So this is a court that has twelve Republican

0:38:05.080 --> 0:38:09.759
<v Speaker 17>appointed judges and just for Democratic judges, and six of

0:38:09.800 --> 0:38:15.080
<v Speaker 17>the Republican appointed just judges are Trump appointees. And the

0:38:15.120 --> 0:38:19.440
<v Speaker 17>individual personalities on the court are also very distinctive and

0:38:19.520 --> 0:38:22.000
<v Speaker 17>very outspoken. So just to name one, there's a judge

0:38:22.040 --> 0:38:24.680
<v Speaker 17>named James ho who, even while on the bench, has

0:38:24.719 --> 0:38:27.839
<v Speaker 17>written that abortion is a moral tragedy and said that

0:38:28.520 --> 0:38:31.000
<v Speaker 17>if there's too much money in politics, it's because there's

0:38:31.080 --> 0:38:37.920
<v Speaker 17>too much government. And these conservative litigants in many cases,

0:38:38.040 --> 0:38:40.800
<v Speaker 17>like the State of Texas, which is part of the circuit,

0:38:41.360 --> 0:38:43.839
<v Speaker 17>like to get their cases before this court because very

0:38:43.920 --> 0:38:47.359
<v Speaker 17>very often they get good results. And with a number

0:38:47.360 --> 0:38:49.440
<v Speaker 17>of these cases this term, what has happened is that

0:38:49.480 --> 0:38:54.560
<v Speaker 17>this circuit has struck down an administration policy or said

0:38:54.560 --> 0:38:57.719
<v Speaker 17>that it administrative agency has to change the way it's

0:38:57.760 --> 0:39:00.680
<v Speaker 17>doing something, and the Biden administration and has gone to

0:39:00.719 --> 0:39:04.399
<v Speaker 17>the Supreme Court saying, hey, the Fifth Circuit's gone too far.

0:39:04.560 --> 0:39:07.600
<v Speaker 17>So it's kind of testing just how conservative the US

0:39:07.680 --> 0:39:08.480
<v Speaker 17>Supreme Court is.

0:39:08.680 --> 0:39:11.680
<v Speaker 2>Well, it sounds like it's a list that they will

0:39:11.719 --> 0:39:14.440
<v Speaker 2>be dealing with with some very very important issues. It's

0:39:14.440 --> 0:39:16.440
<v Speaker 2>hard to pick out like, what's the most significant, But

0:39:16.719 --> 0:39:19.520
<v Speaker 2>where shall we begin in terms of cases that you,

0:39:19.560 --> 0:39:22.000
<v Speaker 2>as someone who's followed the US Supreme Court like, really

0:39:22.040 --> 0:39:23.600
<v Speaker 2>is kind of front and center, and you're thinking about

0:39:23.600 --> 0:39:24.479
<v Speaker 2>this one in a big way.

0:39:25.320 --> 0:39:28.279
<v Speaker 17>Well, certainly the gun case that they're going to hear

0:39:28.400 --> 0:39:32.600
<v Speaker 17>arguments on November seventh is one that's going to get

0:39:32.640 --> 0:39:36.640
<v Speaker 17>a lot of attention. This is a case involving whether

0:39:36.800 --> 0:39:39.880
<v Speaker 17>somebody who is subject to a domestic violence restraining order

0:39:40.320 --> 0:39:45.040
<v Speaker 17>still has his or her full Second Amendment rights. The

0:39:45.160 --> 0:39:48.279
<v Speaker 17>Supreme Court back a year and a half ago, in

0:39:48.320 --> 0:39:51.200
<v Speaker 17>a case called Bruin, that the way we test whether

0:39:51.200 --> 0:39:54.640
<v Speaker 17>a gun restriction is constitutional is to look back into

0:39:54.719 --> 0:39:56.840
<v Speaker 17>history and see if we can find a historic analog

0:39:56.960 --> 0:39:59.960
<v Speaker 17>to the current restriction. And in this case, the Fifth

0:40:00.080 --> 0:40:02.879
<v Speaker 17>Circuit said, you know, we look back at seventeen eighty nine,

0:40:02.920 --> 0:40:06.800
<v Speaker 17>and we didn't see any laws that restricted gun possession

0:40:06.840 --> 0:40:11.000
<v Speaker 17>by somebody who has a domestic violence restraining order, and

0:40:11.040 --> 0:40:14.000
<v Speaker 17>therefore the Second Amendment doesn't allow the sort of restriction.

0:40:14.400 --> 0:40:15.680
<v Speaker 17>So this is going to be a real test of

0:40:15.760 --> 0:40:18.319
<v Speaker 17>whether the Supreme Court's history test that had set up

0:40:18.320 --> 0:40:21.440
<v Speaker 17>a couple of years ago means what it seems like

0:40:21.520 --> 0:40:24.719
<v Speaker 17>it means. And if it does, then that means it's

0:40:24.760 --> 0:40:28.400
<v Speaker 17>going to be really hard to argue in favor of

0:40:28.440 --> 0:40:31.040
<v Speaker 17>all these other gun restrictions around the country.

0:40:31.400 --> 0:40:35.160
<v Speaker 3>So what does that mean for the federal ban on

0:40:35.200 --> 0:40:38.360
<v Speaker 3>bump stocks? If we're continuing with the firearms theme, what

0:40:38.680 --> 0:40:41.760
<v Speaker 3>would this court potentially do in that context and explain

0:40:41.800 --> 0:40:43.279
<v Speaker 3>what bump stocks are actually? I think a lot of

0:40:43.280 --> 0:40:45.600
<v Speaker 3>people might remember them, I think in the wake of

0:40:45.640 --> 0:40:47.839
<v Speaker 3>the Las Vegas shooting years ago.

0:40:48.719 --> 0:40:51.000
<v Speaker 17>Right right, there's a Las Vegas shooting. Basically, it's a

0:40:51.000 --> 0:40:54.280
<v Speaker 17>device that turns a semi automatic weapon, which is legal,

0:40:54.520 --> 0:40:58.200
<v Speaker 17>into a machine gun, which is illegal. And the question

0:40:58.280 --> 0:41:00.640
<v Speaker 17>this is actually a very different legal question and indicase

0:41:00.719 --> 0:41:04.520
<v Speaker 17>involving the domestic violence restraining orders. This is actually a

0:41:04.600 --> 0:41:06.719
<v Speaker 17>question of administrative law and not a question of the

0:41:06.760 --> 0:41:09.320
<v Speaker 17>Second Amendment. The question is whether the Bureau of Alcohol

0:41:09.360 --> 0:41:13.880
<v Speaker 17>and Tobacco and firearms, when it banned those and this

0:41:13.920 --> 0:41:17.080
<v Speaker 17>actually was under the Trump administration, whether it had authority

0:41:17.120 --> 0:41:20.680
<v Speaker 17>to do that. Essentially, what ATF did was to say

0:41:21.719 --> 0:41:25.239
<v Speaker 17>that a bump stock is akin to a machine gun,

0:41:25.600 --> 0:41:28.160
<v Speaker 17>which is illegal, and therefore we're going to say the

0:41:28.160 --> 0:41:31.640
<v Speaker 17>bump stocks are illegal too, So this one actually goes

0:41:31.680 --> 0:41:33.440
<v Speaker 17>to one of those questions of how much power do

0:41:33.560 --> 0:41:37.160
<v Speaker 17>federal regulatory agencies do. It just happens to be one

0:41:37.200 --> 0:41:41.000
<v Speaker 17>that also coincides with this big fight over gun rights.

0:41:42.640 --> 0:41:46.480
<v Speaker 16>Greg let's bring it back to core Bloomberg competencies. Two

0:41:46.520 --> 0:41:49.600
<v Speaker 16>other areas that will be of great interest the Consumer

0:41:49.719 --> 0:41:54.200
<v Speaker 16>Financial Protection Bureau, as was the Securities Exchange Commission. What

0:41:55.040 --> 0:41:56.839
<v Speaker 16>might be in the balance.

0:41:56.520 --> 0:41:58.480
<v Speaker 2>Here, Ye, it's like barely a decade old. I think

0:41:58.520 --> 0:41:59.120
<v Speaker 2>the CFPP.

0:42:00.920 --> 0:42:04.440
<v Speaker 17>Yeah, yeah, just slightly more than that. You're right. And

0:42:04.480 --> 0:42:06.360
<v Speaker 17>this is actually the second time we've had a CFPB

0:42:06.840 --> 0:42:09.800
<v Speaker 17>case at the Supreme Court. This is a Fifth Circuit

0:42:09.880 --> 0:42:12.319
<v Speaker 17>ruling in some ways came out of nowhere. This was

0:42:12.360 --> 0:42:15.240
<v Speaker 17>not like an argument people have been raising for years.

0:42:15.760 --> 0:42:18.680
<v Speaker 17>But the Fifth Circuit said, there's a constitutional provision that

0:42:18.760 --> 0:42:23.640
<v Speaker 17>says you can't spend money without a congressional appropriation. And

0:42:23.760 --> 0:42:26.560
<v Speaker 17>the way CFPP is set up, it gets its money

0:42:26.640 --> 0:42:29.160
<v Speaker 17>from the Federal Reserve, it doesn't it not subject to

0:42:29.200 --> 0:42:33.000
<v Speaker 17>the year to year congressional appropriation process. And the Fifth

0:42:33.000 --> 0:42:36.880
<v Speaker 17>Circuit said, up, that's unconstitutional the way it's set up,

0:42:37.040 --> 0:42:40.120
<v Speaker 17>and it struck down is paid a lending rule that

0:42:40.239 --> 0:42:43.560
<v Speaker 17>never actually took effect, but it cast a cloud over

0:42:44.200 --> 0:42:47.359
<v Speaker 17>basically everything the CFPB had done. Because if everything it's

0:42:47.400 --> 0:42:50.160
<v Speaker 17>been doing all this time has been using money that

0:42:50.200 --> 0:42:52.959
<v Speaker 17>it wasn't supposed to have, maybe there are questions about

0:42:52.960 --> 0:42:56.359
<v Speaker 17>whether those past actions can stand. So there's a lot

0:42:56.360 --> 0:42:58.400
<v Speaker 17>of concern, and there's a brief buy like the mortgage

0:42:58.400 --> 0:43:02.400
<v Speaker 17>industry saying, hey, we're really concerned that this might unsettle

0:43:02.400 --> 0:43:05.560
<v Speaker 17>the mortgage industry if the Supreme Court adopts in a

0:43:05.560 --> 0:43:09.160
<v Speaker 17>full threaded way what the Fifth Circuit did, So big

0:43:09.200 --> 0:43:11.640
<v Speaker 17>stakes for this agency. There's an agency that has been

0:43:12.120 --> 0:43:14.840
<v Speaker 17>very active in a lot of fronts, both the banking

0:43:14.880 --> 0:43:19.120
<v Speaker 17>world and the non banking world. So the business community

0:43:19.160 --> 0:43:20.720
<v Speaker 17>is going to be watching this one very closely.

0:43:21.239 --> 0:43:24.640
<v Speaker 2>You know, I do wonder too, Greg. I think about

0:43:24.640 --> 0:43:29.720
<v Speaker 2>our audience, right, and obviously Supreme Court justices can Supreme

0:43:29.719 --> 0:43:33.239
<v Speaker 2>Court decisions, excuse me, will impact different parts of the

0:43:33.320 --> 0:43:37.120
<v Speaker 2>US population. But I think about the investment world and

0:43:37.160 --> 0:43:40.320
<v Speaker 2>the business world, and I think about certainly the CFPB

0:43:40.440 --> 0:43:41.920
<v Speaker 2>they're going to be following that. But what do you

0:43:41.920 --> 0:43:45.160
<v Speaker 2>think is top of mind for like the Bloomberg audience.

0:43:46.600 --> 0:43:52.000
<v Speaker 17>Certainly all these cases about regulatory agencies are really really important,

0:43:52.120 --> 0:43:55.759
<v Speaker 17>and the business community kind of has an ambivalent relationship

0:43:56.040 --> 0:43:59.600
<v Speaker 17>with them, so they don't like a lot of the regulation,

0:44:00.040 --> 0:44:04.319
<v Speaker 17>but they do like stability, and the CFPB case sort

0:44:04.320 --> 0:44:07.120
<v Speaker 17>of threatens some of that stability. There's another big case

0:44:07.160 --> 0:44:12.719
<v Speaker 17>involving another big case involving it's a little technical but

0:44:12.840 --> 0:44:16.480
<v Speaker 17>really really important, but how much authority agencies have to

0:44:16.600 --> 0:44:21.960
<v Speaker 17>interpret ambiguous federal statutes. And that's another case where to

0:44:22.040 --> 0:44:24.560
<v Speaker 17>give the agency more power, which is traditionally what they've

0:44:24.640 --> 0:44:27.719
<v Speaker 17>had that at least ensures some stability in terms of

0:44:27.760 --> 0:44:30.879
<v Speaker 17>the regulations. So that is a big thing. So far

0:44:31.000 --> 0:44:33.960
<v Speaker 17>this term, we don't have any of the major business fights,

0:44:34.000 --> 0:44:37.279
<v Speaker 17>nothing over like punitive damages or class actions, none of

0:44:37.280 --> 0:44:40.440
<v Speaker 17>the kind of traditional fights that the Chamber of Commerce

0:44:40.480 --> 0:44:45.320
<v Speaker 17>has been pushing. The biggest action is probably going to

0:44:45.360 --> 0:44:47.480
<v Speaker 17>be in these administrative law questions.

0:44:47.680 --> 0:44:50.480
<v Speaker 3>Our thanks to Bloomberg News Supreme Court reporter Greg Store

0:44:50.840 --> 0:44:53.600
<v Speaker 3>and Bloomberg Business Week editor Joe Weber for that report.

0:44:53.880 --> 0:44:56.440
<v Speaker 2>You're listening to Bloomberg business Week. Coming up, the equality

0:44:56.440 --> 0:45:00.279
<v Speaker 2>issue profiles writer, director, producer and actor Tyler Perry. He

0:45:00.520 --> 0:45:03.040
<v Speaker 2>truly does it all. And we get into how he

0:45:03.080 --> 0:45:04.920
<v Speaker 2>built his own media empire.

0:45:05.280 --> 0:45:09.759
<v Speaker 13>He did what has been key to his financial success.

0:45:10.000 --> 0:45:14.759
<v Speaker 13>He insisted on owning one hundred percent after Wyant's Gate

0:45:15.600 --> 0:45:17.520
<v Speaker 13>was finished with those distribution rights.

0:45:17.680 --> 0:45:18.799
<v Speaker 2>This is Bloomberg.

0:45:19.200 --> 0:45:22.759
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:45:22.800 --> 0:45:26.120
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:45:26.200 --> 0:45:30.240
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App,

0:45:30.520 --> 0:45:32.359
<v Speaker 1>or watch us live on YouTube.

0:45:33.520 --> 0:45:35.360
<v Speaker 7>What is wrong with you? Why do you feel the

0:45:35.400 --> 0:45:37.680
<v Speaker 7>need that you got to get somebody all the time? Well,

0:45:37.680 --> 0:45:39.600
<v Speaker 7>when you get and gotten somebody that got you, and

0:45:39.640 --> 0:45:41.480
<v Speaker 7>you go get them. When you get them, everybody's gonna

0:45:41.480 --> 0:45:43.440
<v Speaker 7>get God. Yeah, but you're getting the gotters when they

0:45:43.440 --> 0:45:44.520
<v Speaker 7>didn't do anything to you.

0:45:44.520 --> 0:45:44.879
<v Speaker 1>Get you.

0:45:44.880 --> 0:45:46.480
<v Speaker 7>God has get me. I'm gonna get my glock.

0:45:46.719 --> 0:45:49.480
<v Speaker 2>That's the voice of Medea Simmons. She's the famed movie,

0:45:49.480 --> 0:45:54.000
<v Speaker 2>TV and theater character created and portrayed by writer, director, producer,

0:45:54.000 --> 0:45:57.840
<v Speaker 2>and actor Tyler Perry. Medea is considered the leading lady

0:45:57.880 --> 0:46:01.399
<v Speaker 2>of Perry's sprawling entertainment empire. We know that, Tims Sure.

0:46:02.120 --> 0:46:05.560
<v Speaker 3>The latest issue of Bloomberg BusinessWeek Magazine is the Equality Issue.

0:46:05.640 --> 0:46:08.640
<v Speaker 3>It's out now on newstands, online, and on the Bloomberg terminal,

0:46:08.920 --> 0:46:11.680
<v Speaker 3>and one feature is this week's Domestic cover story on

0:46:11.760 --> 0:46:15.040
<v Speaker 3>how the Hollywood establishment largely ignored Perry on his way

0:46:15.040 --> 0:46:18.520
<v Speaker 3>to achieving incredible commercial success well also helping to turn

0:46:18.520 --> 0:46:21.080
<v Speaker 3>Atlanta into a film and television hotbed.

0:46:21.160 --> 0:46:23.200
<v Speaker 2>There's a lot of amazing nuggets in that story. Hey,

0:46:23.239 --> 0:46:25.880
<v Speaker 2>Bloomberg's Molly Smith, and I actually caught up with Bloomberg

0:46:25.920 --> 0:46:28.719
<v Speaker 2>News Atlanta b our chief Brett Pulley to find out more.

0:46:29.440 --> 0:46:34.040
<v Speaker 13>I first met and spoke with Tyler Perry and did

0:46:34.040 --> 0:46:41.040
<v Speaker 13>a story about eighteen nineteen years ago Diary, his first

0:46:41.040 --> 0:46:43.879
<v Speaker 13>film with Lionsgate, his very first film that just come out,

0:46:44.760 --> 0:46:48.920
<v Speaker 13>Diary of a Mad Black Woman. And you know, it's

0:46:49.080 --> 0:46:54.279
<v Speaker 13>really interesting to revisit someone from the time there in

0:46:54.400 --> 0:47:01.160
<v Speaker 13>sort of this new evolving stage that he was in,

0:47:01.239 --> 0:47:03.840
<v Speaker 13>and then to visit him years later and he's a

0:47:03.880 --> 0:47:08.760
<v Speaker 13>billionaire and you know hosts Megan Markle and Prince Harry

0:47:08.800 --> 0:47:11.799
<v Speaker 13>at his house now that's like they're hide away when

0:47:11.800 --> 0:47:14.680
<v Speaker 13>they leave the when they left the UK, and you know,

0:47:14.719 --> 0:47:16.880
<v Speaker 13>his best friends with Oprah and all these things, and

0:47:19.239 --> 0:47:25.720
<v Speaker 13>owns a really formidable motion picture studio here in Atlanta.

0:47:25.360 --> 0:47:26.960
<v Speaker 6>So Brett, you get at this a little bit in

0:47:27.040 --> 0:47:30.600
<v Speaker 6>the story here how Tyler Perry grew up in New

0:47:30.680 --> 0:47:33.120
<v Speaker 6>Orleans and then came to Atlanta and realized that this

0:47:33.160 --> 0:47:35.640
<v Speaker 6>is where he wanted to set up shop and gets

0:47:35.680 --> 0:47:38.200
<v Speaker 6>a little bit starstruck almost every time he goes down

0:47:38.239 --> 0:47:41.279
<v Speaker 6>I seventy five, and you know, sees his name on

0:47:41.360 --> 0:47:44.680
<v Speaker 6>billboards directing them to Tyler Perry Studios. Just want to

0:47:44.880 --> 0:47:46.480
<v Speaker 6>get a sense from you. You know, this isn't the

0:47:46.480 --> 0:47:49.000
<v Speaker 6>Hollywood Hills here, but you know you've been in Atlanta

0:47:49.080 --> 0:47:51.880
<v Speaker 6>for quite some time now, you're Atlanta Bureau chief. What

0:47:52.000 --> 0:47:54.360
<v Speaker 6>is it? How much of it do you see driving

0:47:54.440 --> 0:47:55.640
<v Speaker 6>through the city there?

0:47:57.920 --> 0:48:01.160
<v Speaker 13>Well, I mean you see both things. You see Tyler

0:48:01.280 --> 0:48:04.200
<v Speaker 13>Perry's presence, as you mentioned, you know, I mean you can't,

0:48:04.520 --> 0:48:08.440
<v Speaker 13>you know, go to and from the world's busiest airport,

0:48:08.480 --> 0:48:12.040
<v Speaker 13>which is in Atlanta without seeing that those signs off

0:48:12.040 --> 0:48:15.920
<v Speaker 13>the highway because it's so relatively close to the airport. Uh.

0:48:16.040 --> 0:48:18.640
<v Speaker 13>And so its presence, you know, it's significant in so

0:48:18.800 --> 0:48:22.560
<v Speaker 13>many ways. Uh. And as is the presence of the

0:48:22.719 --> 0:48:26.120
<v Speaker 13>entertainment and the motion picture business here. I mean you know,

0:48:26.640 --> 0:48:29.560
<v Speaker 13>just over the last ten years or so since very

0:48:29.600 --> 0:48:34.560
<v Speaker 13>aggressive tax uh tax benefits have been put in place

0:48:34.600 --> 0:48:38.560
<v Speaker 13>by the state, a lot of film and television is

0:48:38.560 --> 0:48:41.680
<v Speaker 13>produced here. You know, all of the practically all of

0:48:41.719 --> 0:48:46.359
<v Speaker 13>the Marvel stuff from Disney uh is done here. UH.

0:48:46.520 --> 0:48:48.879
<v Speaker 13>And a host of you know, a host of programs,

0:48:49.600 --> 0:48:54.560
<v Speaker 13>television programs and films and UH. And it's it's interesting

0:48:54.680 --> 0:48:59.719
<v Speaker 13>because it has it has u pomped it a lot

0:48:59.760 --> 0:49:02.680
<v Speaker 13>of people who would otherwise be in Hollywood to be

0:49:02.760 --> 0:49:06.080
<v Speaker 13>here in Atlanta, and that's you know, that's that's you know, talent.

0:49:06.920 --> 0:49:10.319
<v Speaker 13>But also you know, I've been having conversations with people

0:49:10.360 --> 0:49:13.399
<v Speaker 13>who were in film finance and some of the big

0:49:13.400 --> 0:49:17.279
<v Speaker 13>agencies have put offices here, and so it's you know,

0:49:17.360 --> 0:49:22.040
<v Speaker 13>it's really becoming a Hollywood West. And Tyler Perry is

0:49:22.160 --> 0:49:25.400
<v Speaker 13>you know, is a large part of that and certainly

0:49:25.560 --> 0:49:28.319
<v Speaker 13>the largest personification of that.

0:49:28.600 --> 0:49:31.000
<v Speaker 2>Tell us about Tyler Perry though, and you know, it's

0:49:31.000 --> 0:49:33.279
<v Speaker 2>interesting as we teased into it, I mean, this is

0:49:33.920 --> 0:49:38.879
<v Speaker 2>you know, Hollywood sometimes misses trends and waves no doubt

0:49:38.880 --> 0:49:42.880
<v Speaker 2>about it, and they definitely the Hollywood establishment, as you

0:49:42.920 --> 0:49:47.680
<v Speaker 2>point out, ignored this individual who wrote, who directed, who

0:49:47.680 --> 0:49:51.400
<v Speaker 2>produced who acted truly the one man show? What is

0:49:51.440 --> 0:49:54.719
<v Speaker 2>it that Hollywood missed? And why did they miss it?

0:49:55.080 --> 0:49:58.000
<v Speaker 2>And tell us how Tyler Perry is just turning how

0:49:58.000 --> 0:49:59.640
<v Speaker 2>we make content upside down?

0:50:01.000 --> 0:50:03.440
<v Speaker 13>Yeah, well, I think they missed. What they missed is that,

0:50:03.560 --> 0:50:05.520
<v Speaker 13>you know, there are a lot of places to look

0:50:05.600 --> 0:50:08.960
<v Speaker 13>for UH business and to look for an audience, right

0:50:09.239 --> 0:50:14.880
<v Speaker 13>and there I think the the the prism may have

0:50:14.960 --> 0:50:17.760
<v Speaker 13>been a little too narrow in Hollywood. You know, Tyler

0:50:18.280 --> 0:50:22.279
<v Speaker 13>recounts some great examples of that. You know, he went

0:50:22.320 --> 0:50:27.480
<v Speaker 13>to see UH an executive after his he had built

0:50:27.520 --> 0:50:31.120
<v Speaker 13>an audience with his stage plays around the country, right

0:50:31.160 --> 0:50:34.960
<v Speaker 13>at all these theaters and cities around the country. People

0:50:35.000 --> 0:50:37.600
<v Speaker 13>would you know, church groups and stuff loaded up on

0:50:37.680 --> 0:50:40.680
<v Speaker 13>buses and people went to see these plays. And then

0:50:40.719 --> 0:50:44.120
<v Speaker 13>he created a great ancillary revenue along, you know, with

0:50:44.120 --> 0:50:47.160
<v Speaker 13>with merchandise and other sales. And so he had made

0:50:47.160 --> 0:50:49.880
<v Speaker 13>a fair amount of money before Hollywood had discovered him.

0:50:50.680 --> 0:50:54.600
<v Speaker 2>Annual ticket sales and you say, fifty million million revenue.

0:50:55.480 --> 0:50:58.560
<v Speaker 13>So when he finally got a deal in Hollywood with

0:50:58.640 --> 0:51:03.600
<v Speaker 13>lions Gate, right, he put up half, they put up half,

0:51:03.920 --> 0:51:07.799
<v Speaker 13>and he did what has been key to his financial

0:51:07.840 --> 0:51:13.600
<v Speaker 13>success he insisted on owning one hundred percent after Lionsgate

0:51:14.440 --> 0:51:17.920
<v Speaker 13>was finished with those distribution rights. So after however, many years,

0:51:18.040 --> 0:51:21.720
<v Speaker 13>one hundred percent ownership of all of these films goes

0:51:21.760 --> 0:51:24.480
<v Speaker 13>to Tyler Perry. So you know, as a result, Tyler

0:51:24.520 --> 0:51:28.480
<v Speaker 13>owns all twenty eight of the films he's made, he

0:51:28.520 --> 0:51:33.000
<v Speaker 13>owns over eighteen hundred episodes of television. I mean, you

0:51:33.080 --> 0:51:37.160
<v Speaker 13>talk about a long tail. You know, as distribution platforms change,

0:51:37.200 --> 0:51:40.080
<v Speaker 13>and we know they keep evolving and changing, who knows

0:51:40.440 --> 0:51:42.279
<v Speaker 13>what in the world that'll be worth one day?

0:51:42.480 --> 0:51:44.759
<v Speaker 2>Right, hey, listen, I want to go to what you

0:51:45.239 --> 0:51:48.400
<v Speaker 2>started to say that when he went to visit a

0:51:48.480 --> 0:51:53.600
<v Speaker 2>Paramount Pictures executive looking for a filmed out film deal

0:51:53.800 --> 0:51:56.399
<v Speaker 2>and they said, well, black people don't go to the movies, Well,

0:51:56.400 --> 0:51:58.320
<v Speaker 2>he has shown them that they certainly.

0:51:57.960 --> 0:52:03.040
<v Speaker 13>Do, right, that's for sure. I mean, you know, all

0:52:03.120 --> 0:52:06.040
<v Speaker 13>of the films, every film that he's made, every film

0:52:06.040 --> 0:52:08.319
<v Speaker 13>that he made for Lionsgate. I'm not sure about the

0:52:08.360 --> 0:52:11.560
<v Speaker 13>subsequent ones, but you know, the lions shared no pun

0:52:11.640 --> 0:52:14.799
<v Speaker 13>intended of his work has been distributed by Lionsgate. In

0:52:14.840 --> 0:52:18.120
<v Speaker 13>terms of motion pictures, they all made money and they're

0:52:18.160 --> 0:52:22.240
<v Speaker 13>reliable sources. Of revenue, and he delivers them on time,

0:52:22.360 --> 0:52:26.040
<v Speaker 13>and he delivers them under budget. And of course these

0:52:26.080 --> 0:52:30.480
<v Speaker 13>are things in a very predictable, unpredictable business, I should say,

0:52:30.520 --> 0:52:35.520
<v Speaker 13>such as motion pictures that Hollywood likes. And so he

0:52:35.600 --> 0:52:42.480
<v Speaker 13>has been a reliable sort of production machine for the

0:52:42.520 --> 0:52:44.680
<v Speaker 13>motion picture and television business.

0:52:45.160 --> 0:52:47.560
<v Speaker 6>So, Brett, you mentioned that Tyler Perry has been trying

0:52:47.560 --> 0:52:50.520
<v Speaker 6>to extend his commercial reach. He's openly said that he

0:52:50.600 --> 0:52:55.200
<v Speaker 6>wants to buy bet from Paramount. You also mentioned in

0:52:55.239 --> 0:52:57.680
<v Speaker 6>the story that Tyler Perry's trying to get into streaming,

0:52:57.719 --> 0:52:59.439
<v Speaker 6>So what's the next big move for him?

0:53:00.000 --> 0:53:03.480
<v Speaker 13>Certainly interested in bet and has been interested, and I

0:53:03.480 --> 0:53:05.720
<v Speaker 13>guess it's a matter of if Paramount puts the property

0:53:05.760 --> 0:53:10.160
<v Speaker 13>back on the market. And he has deals with Netflix

0:53:10.320 --> 0:53:12.960
<v Speaker 13>and with Amazon, and is in the streaming world and

0:53:13.560 --> 0:53:16.680
<v Speaker 13>has some projects coming up in that world with some

0:53:16.719 --> 0:53:20.080
<v Speaker 13>formidable stars such as Carrie Washington and Oprah Winfrey and

0:53:20.239 --> 0:53:24.640
<v Speaker 13>Susan Sarandon. So he's still on the hunt for the

0:53:24.640 --> 0:53:29.719
<v Speaker 13>elusive critical success, but certainly sticking very close to what

0:53:29.840 --> 0:53:32.040
<v Speaker 13>has made him a tremendously successful guy.

0:53:32.200 --> 0:53:34.279
<v Speaker 2>So many great nuggets in this story about how he

0:53:34.360 --> 0:53:37.280
<v Speaker 2>came to be and just kind of where he's going. Brett,

0:53:37.280 --> 0:53:39.920
<v Speaker 2>thank you so much. Of course, our Bloomberg News Atlanta

0:53:39.960 --> 0:53:42.279
<v Speaker 2>b R chief Brett Polly. His book, by the Way

0:53:42.320 --> 0:53:44.879
<v Speaker 2>on beet is called The Billion Dollar Bets, so check

0:53:44.920 --> 0:53:45.759
<v Speaker 2>that out as well.

0:53:45.840 --> 0:53:48.840
<v Speaker 3>Molly Smith with Carol and Brett right there, Tyler Perry,

0:53:49.000 --> 0:53:51.080
<v Speaker 3>such a big voice today when it comes to content,

0:53:51.200 --> 0:53:53.520
<v Speaker 3>when it comes to media, when it comes to culture.

0:53:53.520 --> 0:53:54.440
<v Speaker 2>Totally on that.

0:53:54.520 --> 0:53:56.359
<v Speaker 3>A reminder that we will be on the road in

0:53:56.360 --> 0:53:59.360
<v Speaker 3>Los Angeles this coming Thursday for the first ever installment

0:53:59.400 --> 0:54:02.440
<v Speaker 3>of Bloomberg's screen Time. We'll be speaking with the moguls,

0:54:02.440 --> 0:54:05.920
<v Speaker 3>celebrities and entrepreneurs defining the next phase of pop culture.

0:54:06.280 --> 0:54:08.240
<v Speaker 3>Find out more at Bloomberg Live dot com.

0:54:08.280 --> 0:54:10.239
<v Speaker 2>An amazing lineup and we're going to be featuring some

0:54:10.320 --> 0:54:13.000
<v Speaker 2>of those folks on air well. Speaking of the West Coast.

0:54:13.080 --> 0:54:15.920
<v Speaker 2>Up next on Bloomberg BusinessWeek, how the Golden State is

0:54:15.960 --> 0:54:19.360
<v Speaker 2>taking the lead in data driven sustainability guidelines within the

0:54:19.440 --> 0:54:21.440
<v Speaker 2>all important agricultural sector.

0:54:21.719 --> 0:54:25.719
<v Speaker 1>That's straight ahead. This is Bloomberg. You're listening to the

0:54:25.760 --> 0:54:30.040
<v Speaker 1>Bloomberg Business Week podcast. Catch us live weekday afternoons from

0:54:30.080 --> 0:54:34.000
<v Speaker 1>three to six Easter on Bloomberg Radio, the Bloomberg Business App,

0:54:34.040 --> 0:54:37.480
<v Speaker 1>and YouTube. You can also listen live on Amazon Alexa

0:54:37.560 --> 0:54:40.960
<v Speaker 1>from our flagship New York station, Just say Alexa Play

0:54:41.040 --> 0:54:47.440
<v Speaker 1>Bloomberg eleven thirty. This is Bloomberg Business Week with Carol

0:54:47.480 --> 0:54:50.920
<v Speaker 1>Messer and Tim Steneveek on Bloomberg Radio.

0:54:51.239 --> 0:54:54.000
<v Speaker 2>Our next guest is a Bloomberg New Economy Catalyst class

0:54:54.000 --> 0:54:56.719
<v Speaker 2>of twenty twenty two. Now just a reminder, Catalysts are

0:54:56.719 --> 0:55:00.400
<v Speaker 2>people whose innovations, efforts and objectives have a genuine shot

0:55:00.440 --> 0:55:03.000
<v Speaker 2>at changing the world for the better. And we are

0:55:03.000 --> 0:55:05.440
<v Speaker 2>so delighted to have back with us Anastagia Volkova. She's

0:55:05.480 --> 0:55:08.720
<v Speaker 2>the co founder and CEO of the regenerative ag company Regrow.

0:55:08.840 --> 0:55:10.440
<v Speaker 2>We got to talk about some of the accolades, Tam.

0:55:10.719 --> 0:55:12.760
<v Speaker 3>Yeah, well, let's just start with just a couple of them. Okay,

0:55:12.800 --> 0:55:14.239
<v Speaker 3>but we got to we can't say I'm all or else.

0:55:14.280 --> 0:55:15.680
<v Speaker 3>We're not going to get any time from an interview.

0:55:15.719 --> 0:55:17.440
<v Speaker 3>Let's just go with this one time. Is named Regrow

0:55:17.520 --> 0:55:19.960
<v Speaker 3>is one of the one hundred most influential companies in

0:55:20.000 --> 0:55:22.600
<v Speaker 3>twenty twenty three. Fast Company has named it one of

0:55:22.640 --> 0:55:25.440
<v Speaker 3>the most innovative companies of the year and Anastasia was

0:55:25.480 --> 0:55:27.520
<v Speaker 3>named to the Time one hundred list of the next

0:55:27.600 --> 0:55:29.840
<v Speaker 3>one hundred most influential people in the world.

0:55:29.920 --> 0:55:31.839
<v Speaker 18>Can I say, aren't you happy you called it first

0:55:31.880 --> 0:55:32.719
<v Speaker 18>with the catalysts?

0:55:34.000 --> 0:55:34.239
<v Speaker 16>Yes?

0:55:34.400 --> 0:55:36.839
<v Speaker 2>Yes, yes, yes. You also have a PhD in visual

0:55:36.880 --> 0:55:38.640
<v Speaker 2>drone navigation, which I always think is so cool and

0:55:38.800 --> 0:55:41.000
<v Speaker 2>I think we talked about it last time. Good to

0:55:41.000 --> 0:55:41.719
<v Speaker 2>have you back with us.

0:55:41.800 --> 0:55:43.160
<v Speaker 18>Yeah, if i'd beless to be back. Thank you so

0:55:43.239 --> 0:55:46.239
<v Speaker 18>much for having me. Absolutely, it's wonderful to also see

0:55:46.239 --> 0:55:49.799
<v Speaker 18>all the momentum in food and agriculture space and the

0:55:49.840 --> 0:55:52.719
<v Speaker 18>industry leaders generally, we believe that it's an industry that

0:55:52.800 --> 0:55:54.760
<v Speaker 18>can decarbonize thes soon as are.

0:55:54.640 --> 0:55:58.000
<v Speaker 2>Things really changing and things are What is momentum?

0:55:58.000 --> 0:55:58.040
<v Speaker 12>Me?

0:55:58.440 --> 0:56:00.040
<v Speaker 18>What does it look like? Okay, let's look at the

0:56:00.120 --> 0:56:04.640
<v Speaker 18>most recent pieces. So to California builds a passing legislature

0:56:05.000 --> 0:56:08.880
<v Speaker 18>and they are going to mandate climate disclosures for companies

0:56:08.960 --> 0:56:12.560
<v Speaker 18>over one billion dollars in revenue trading in California. There's

0:56:12.600 --> 0:56:15.359
<v Speaker 18>also a segment for half a billion dollar revenue company.

0:56:15.400 --> 0:56:16.760
<v Speaker 2>Which does that mean what do they have to show?

0:56:17.120 --> 0:56:19.719
<v Speaker 18>It literally means that they need to go and calculate

0:56:19.920 --> 0:56:23.080
<v Speaker 18>how they are impacting climate in their own emissions as

0:56:23.120 --> 0:56:25.719
<v Speaker 18>well as their purchase goods and services. So if you are,

0:56:25.800 --> 0:56:28.440
<v Speaker 18>for example, a food company making food that ends up

0:56:28.440 --> 0:56:30.560
<v Speaker 18>on the shelf or on the plate, you literally need

0:56:30.600 --> 0:56:32.600
<v Speaker 18>to be thinking about what is the emissions on farm

0:56:32.680 --> 0:56:35.360
<v Speaker 18>because this is where the largest portion of those emissions sits.

0:56:35.640 --> 0:56:37.920
<v Speaker 18>And by twenty twenty seven you'll have to declare it,

0:56:37.960 --> 0:56:40.600
<v Speaker 18>which effectively means that if you start measuring it, you'll

0:56:40.640 --> 0:56:41.640
<v Speaker 18>start managing it.

0:56:41.800 --> 0:56:43.640
<v Speaker 3>When you say that this is one of the industries

0:56:43.680 --> 0:56:48.520
<v Speaker 3>that can decarbonize the quickest, are you including animals in

0:56:48.560 --> 0:56:49.280
<v Speaker 3>this as well?

0:56:49.400 --> 0:56:49.520
<v Speaker 1>Like?

0:56:50.040 --> 0:56:52.919
<v Speaker 7>Are you including cattle farming's ranch?

0:56:53.120 --> 0:56:53.520
<v Speaker 14>That's right?

0:56:53.600 --> 0:56:56.480
<v Speaker 7>Agriculture, how I mean this is like one of the

0:56:56.520 --> 0:56:57.640
<v Speaker 7>worst things for the environment.

0:56:58.960 --> 0:57:02.480
<v Speaker 18>It's very subjective, right, so when you start thinking about

0:57:02.760 --> 0:57:05.120
<v Speaker 18>what are the animals supposed to do versus what we

0:57:05.320 --> 0:57:08.319
<v Speaker 18>got them to do, how we disaggregated agriculture. Whilst in

0:57:08.320 --> 0:57:11.480
<v Speaker 18>an integrated system, they're actually all very helpful. It's a

0:57:11.560 --> 0:57:15.080
<v Speaker 18>more circular system. You can feed them better. Crops with

0:57:15.360 --> 0:57:17.640
<v Speaker 18>a lot of emissions in the animal system are still

0:57:17.640 --> 0:57:19.640
<v Speaker 18>in the crops. We produce most of the crops to

0:57:19.680 --> 0:57:22.480
<v Speaker 18>feed animals, not to feed ourselves. So that's where the

0:57:22.520 --> 0:57:23.959
<v Speaker 18>majority of the impact will come.

0:57:24.280 --> 0:57:25.400
<v Speaker 7>First use the complication.

0:57:27.360 --> 0:57:30.280
<v Speaker 18>I am saying that we need to decarbonize all parts

0:57:30.280 --> 0:57:32.680
<v Speaker 18>of the burger and starting to list what are the

0:57:32.760 --> 0:57:35.760
<v Speaker 18>parts that we should decombnize. But I am definitely saying

0:57:35.760 --> 0:57:39.360
<v Speaker 18>the alternative burgers better for the environment, Yes, but there's

0:57:39.520 --> 0:57:41.760
<v Speaker 18>things about the burger that are also not terrible for them.

0:57:41.960 --> 0:57:43.560
<v Speaker 2>And a station when you work with the company, what

0:57:43.640 --> 0:57:44.800
<v Speaker 2>exactly do you do for them?

0:57:45.440 --> 0:57:49.080
<v Speaker 18>We help them first uncover their school three emissions i e.

0:57:49.200 --> 0:57:52.160
<v Speaker 18>Those that on farm. So if they come and pick

0:57:52.200 --> 0:57:54.520
<v Speaker 18>their supply sheds, they say, I source this over there.

0:57:54.560 --> 0:57:57.040
<v Speaker 18>Can you tell me how is that impacting the environment?

0:57:57.160 --> 0:57:59.800
<v Speaker 18>And we actually letter up the data from the field levels,

0:58:00.080 --> 0:58:04.040
<v Speaker 18>have dynamically generated data on a near real time basis

0:58:04.040 --> 0:58:06.600
<v Speaker 18>that can say here's what's happening in the landscape, this

0:58:06.680 --> 0:58:09.360
<v Speaker 18>is what's what's impacting the environment right now. Once they

0:58:09.360 --> 0:58:12.760
<v Speaker 18>have that snapshot, they can also model with the platform

0:58:12.760 --> 0:58:16.120
<v Speaker 18>that we provide them, the ag resilience platform, the abatement potential,

0:58:16.240 --> 0:58:18.920
<v Speaker 18>that is to say, what can I change for better?

0:58:19.320 --> 0:58:21.240
<v Speaker 18>What can I reduce? How can I get to my

0:58:21.240 --> 0:58:22.080
<v Speaker 18>mission deroduction goal?

0:58:22.160 --> 0:58:24.920
<v Speaker 2>So it's not about carbon offsetting. It's actually do so

0:58:24.960 --> 0:58:27.160
<v Speaker 2>you don't create carbon in the first place.

0:58:27.680 --> 0:58:31.640
<v Speaker 18>Yes, it's value chain investments. It's almost we call it

0:58:31.720 --> 0:58:34.560
<v Speaker 18>in setting. It's the opposite. So you take action within

0:58:34.600 --> 0:58:38.400
<v Speaker 18>your value chain. You are not you're reducing your own emissions,

0:58:38.400 --> 0:58:40.800
<v Speaker 18>you're not looking to offset them somewhere else.

0:58:40.920 --> 0:58:41.600
<v Speaker 2>I hate offset.

0:58:41.640 --> 0:58:45.040
<v Speaker 18>Sorry no, and European Commission is with you.

0:58:44.960 --> 0:58:47.320
<v Speaker 2>Because you shouldn't be making You've got to reduce the

0:58:47.360 --> 0:58:50.520
<v Speaker 2>carbon footprint. It's not a case. It's not exactly I'm

0:58:50.560 --> 0:58:52.400
<v Speaker 2>not going to all right, so I'm creating a lot

0:58:52.440 --> 0:58:54.000
<v Speaker 2>of carbon, but I'm going to go plant some trees.

0:58:54.080 --> 0:58:55.919
<v Speaker 2>You're still putting the carbon in there, like we've got

0:58:55.920 --> 0:58:57.280
<v Speaker 2>to reduce it overall. That's just.

0:58:58.960 --> 0:58:59.000
<v Speaker 13>No.

0:58:59.120 --> 0:59:02.440
<v Speaker 18>Absolutely, have to find ways of producing food in a

0:59:02.480 --> 0:59:05.520
<v Speaker 18>way that doesn't harm the environments so much it actually

0:59:05.800 --> 0:59:07.360
<v Speaker 18>renews it and regenerates.

0:59:07.400 --> 0:59:09.400
<v Speaker 7>It is vertical farming. One of those answers.

0:59:10.120 --> 0:59:11.960
<v Speaker 18>Oh it seem good question.

0:59:12.680 --> 0:59:13.800
<v Speaker 7>It's very controversial.

0:59:14.040 --> 0:59:16.680
<v Speaker 18>It's very controversial because you have to consider everything from

0:59:16.680 --> 0:59:19.200
<v Speaker 18>the system perspective. Right, So on one hand, you have

0:59:19.560 --> 0:59:23.400
<v Speaker 18>the transportation of say, salad from Salinas, California, to New

0:59:23.480 --> 0:59:25.920
<v Speaker 18>York City and that's absurd. So you probably should consider

0:59:25.960 --> 0:59:29.080
<v Speaker 18>growing it here if you recycle some of the resources,

0:59:29.560 --> 0:59:32.040
<v Speaker 18>if you're able to provide it with the water it

0:59:32.080 --> 0:59:35.959
<v Speaker 18>needs without drawing more water into that farm over time. Okay, great,

0:59:36.040 --> 0:59:39.120
<v Speaker 18>but you're still looking at a system that largely requires

0:59:39.280 --> 0:59:44.760
<v Speaker 18>artificial synthetic input fertilizers, and they sustain the system, is

0:59:44.760 --> 0:59:48.720
<v Speaker 18>opposed to say soil out there that when healthy sequestors

0:59:48.800 --> 0:59:53.000
<v Speaker 18>carbon and provides water, cleaning, clean air, all of those

0:59:53.040 --> 0:59:57.480
<v Speaker 18>ecosystem services to us living all around those environments.

0:59:57.920 --> 1:00:01.000
<v Speaker 2>You know, it's interesting. We had Johanna's Huting of Powers

1:00:01.040 --> 1:00:04.920
<v Speaker 2>twenty one on and they basically are making sure that

1:00:05.480 --> 1:00:08.320
<v Speaker 2>you know, or helping developing the developing world, you know,

1:00:08.560 --> 1:00:11.080
<v Speaker 2>create data sets. They don't actually have the data, but

1:00:11.080 --> 1:00:13.320
<v Speaker 2>they're pulling from different sources and making sure it's pure.

1:00:13.320 --> 1:00:15.680
<v Speaker 2>But the whole idea is you need to collect and

1:00:15.680 --> 1:00:19.480
<v Speaker 2>track transformative data to help bring about transformative policies and change.

1:00:20.200 --> 1:00:22.800
<v Speaker 2>Talk to us about the importance of that having that

1:00:22.920 --> 1:00:25.320
<v Speaker 2>data that you guys are providing, right, the information, but

1:00:25.560 --> 1:00:30.960
<v Speaker 2>also go hand in hand with governments, states, countries saying

1:00:31.160 --> 1:00:32.880
<v Speaker 2>we've got to do better. And so you need the

1:00:32.960 --> 1:00:33.760
<v Speaker 2>data to kind of meet.

1:00:34.040 --> 1:00:37.840
<v Speaker 18>Absolutely it has to, and we have plenty to update

1:00:38.040 --> 1:00:41.760
<v Speaker 18>the listeners on with the IRA money, with the investment

1:00:41.840 --> 1:00:45.040
<v Speaker 18>with the Information and Reduction Act, and the Embedded Climate's

1:00:45.080 --> 1:00:50.680
<v Speaker 18>MARGE Commodities program. The administration is looking to effectively accelerate

1:00:50.840 --> 1:00:55.400
<v Speaker 18>the investment into low carbon commodities and agricultural sector. But

1:00:55.520 --> 1:01:00.480
<v Speaker 18>also they have released recently an initiative specifically focused on

1:01:00.520 --> 1:01:03.640
<v Speaker 18>the data and the MRV the monitoring, reporting and verification

1:01:03.720 --> 1:01:07.120
<v Speaker 18>of emissions and practices, and they completely go hand in hand.

1:01:07.160 --> 1:01:09.600
<v Speaker 18>So if we ever want this to be a truly

1:01:09.680 --> 1:01:13.640
<v Speaker 18>bipartisan issue that is internationally accepted, we need to start

1:01:13.640 --> 1:01:15.760
<v Speaker 18>looking at the data and not wondering where the money

1:01:15.800 --> 1:01:18.000
<v Speaker 18>is going on. Because once you are seeing that the

1:01:18.040 --> 1:01:21.200
<v Speaker 18>money is getting to where it needs to be, why

1:01:21.240 --> 1:01:23.400
<v Speaker 18>wouldn't you invest more in because you are getting that

1:01:23.400 --> 1:01:25.560
<v Speaker 18>return you're looking for. But it's the data that needs

1:01:25.600 --> 1:01:26.480
<v Speaker 18>to tell that story.

1:01:26.600 --> 1:01:28.760
<v Speaker 3>Talk to us more about this because I always wonder

1:01:28.760 --> 1:01:30.840
<v Speaker 3>about incentives here. It's one thing for the state to

1:01:30.880 --> 1:01:34.320
<v Speaker 3>actually require disclosures like California is doing, you know, and

1:01:34.320 --> 1:01:36.040
<v Speaker 3>it is a side point, but my concern is that, Okay,

1:01:36.040 --> 1:01:37.680
<v Speaker 3>all these companies are going to move to Texas, which

1:01:37.720 --> 1:01:40.560
<v Speaker 3>is a state that will not require these types of disclosures.

1:01:41.200 --> 1:01:42.960
<v Speaker 3>Maybe that's a conversation for a different day.

1:01:43.160 --> 1:01:44.960
<v Speaker 2>You really grow on in Texas.

1:01:45.040 --> 1:01:47.080
<v Speaker 3>I mean, you could base your company in Texas instead

1:01:47.080 --> 1:01:47.640
<v Speaker 3>of facing it.

1:01:47.720 --> 1:01:51.720
<v Speaker 18>Anyone who trades in Texas, not anyone who's headquartered like

1:01:51.800 --> 1:01:54.040
<v Speaker 18>in California. For the California bill, you just have to

1:01:54.080 --> 1:01:55.280
<v Speaker 18>be trading in California.

1:01:55.320 --> 1:01:57.880
<v Speaker 3>You are not headquartered in California, so people won't get

1:01:57.880 --> 1:01:58.400
<v Speaker 3>around it.

1:01:58.760 --> 1:02:01.920
<v Speaker 18>I don't think we can move something to Texas and

1:02:02.000 --> 1:02:04.360
<v Speaker 18>stop trading in one of the largest economists in the world,

1:02:04.360 --> 1:02:05.080
<v Speaker 18>that is California.

1:02:05.200 --> 1:02:06.480
<v Speaker 7>Yeah, that's very true.

1:02:06.560 --> 1:02:09.320
<v Speaker 3>Okay, maybe the lawyers will be busy trying to figure

1:02:09.320 --> 1:02:09.720
<v Speaker 3>out a way.

1:02:10.080 --> 1:02:12.280
<v Speaker 18>Maybe, so what's good?

1:02:12.320 --> 1:02:15.840
<v Speaker 3>But my question is really about is really about data,

1:02:15.920 --> 1:02:17.880
<v Speaker 3>and you know where that data comes from and how

1:02:17.920 --> 1:02:19.560
<v Speaker 3>you measure that data in this day and age.

1:02:19.800 --> 1:02:22.280
<v Speaker 18>That's right when you're looking at this type of bill,

1:02:22.440 --> 1:02:24.440
<v Speaker 18>people are getting concerned that this will actually put more

1:02:24.440 --> 1:02:26.760
<v Speaker 18>burden on the suppliers, of which farmers is one of

1:02:26.800 --> 1:02:30.440
<v Speaker 18>the categories in this industry, of course the primary category.

1:02:30.720 --> 1:02:34.440
<v Speaker 18>So this data, you don't need to invent more ways

1:02:34.480 --> 1:02:37.400
<v Speaker 18>to get this data. We already, as Greta Thumberg always says,

1:02:37.400 --> 1:02:39.320
<v Speaker 18>we already have all the solutions, we just need to

1:02:39.400 --> 1:02:44.520
<v Speaker 18>actually implement them. So regrow gets data from fire management system,

1:02:44.560 --> 1:02:48.240
<v Speaker 18>statistical surveys, but importantly satellite imagery, so remote sensing of

1:02:48.360 --> 1:02:50.800
<v Speaker 18>practices tells us a lot about what's happening in the

1:02:50.880 --> 1:02:53.880
<v Speaker 18>land in a non invasive way, in a very scalable

1:02:53.880 --> 1:02:56.800
<v Speaker 18>and cost effective way. Then we pass it through climate models,

1:02:56.920 --> 1:03:01.240
<v Speaker 18>soil carbon crop models to understand what is the impact

1:03:01.320 --> 1:03:04.240
<v Speaker 18>on the environment. So we see the practices from space,

1:03:04.440 --> 1:03:07.320
<v Speaker 18>from local systems, tractor tells us what's going on. We

1:03:07.360 --> 1:03:10.280
<v Speaker 18>don't have to ask the farmer for absolutely everything. We

1:03:10.360 --> 1:03:12.920
<v Speaker 18>have to accept that agriculture has been running on data.

1:03:13.040 --> 1:03:15.840
<v Speaker 18>It's a big business, it's a big industry. It has

1:03:15.880 --> 1:03:18.400
<v Speaker 18>the data. If you provide the incentives and you assure

1:03:18.440 --> 1:03:21.800
<v Speaker 18>the privacy, you will be able to get the system

1:03:21.880 --> 1:03:24.800
<v Speaker 18>to a level of transparency where it can all actually

1:03:24.800 --> 1:03:29.480
<v Speaker 18>flow in a direction of Paris one point five degree trajectory.

1:03:29.480 --> 1:03:30.600
<v Speaker 2>What companies are you working with.

1:03:31.120 --> 1:03:36.680
<v Speaker 14>We're working with General Mills, Kellogg, Cargil, Folks across the

1:03:36.720 --> 1:03:40.000
<v Speaker 14>supply chain from those that provide input to the farmer's

1:03:40.160 --> 1:03:42.560
<v Speaker 14>trade and aggregate and process the commodities, all the way

1:03:42.600 --> 1:03:44.640
<v Speaker 14>to those that you pick up their boxes off of

1:03:44.680 --> 1:03:46.160
<v Speaker 14>supermarket shelves and plates.

1:03:46.280 --> 1:03:49.360
<v Speaker 3>Our thanks to Anastagia Vilkova, she's co founder and CEO

1:03:49.520 --> 1:03:53.440
<v Speaker 3>of the regenerative agricultural company Regrow. She noticed in studio

1:03:53.560 --> 1:03:57.040
<v Speaker 3>during un Climate Week and one update the two California bills.

1:03:57.040 --> 1:03:59.720
<v Speaker 3>She discussed our schedule to be signed into law this month.

1:04:00.000 --> 1:04:02.960
<v Speaker 2>You're listening to Bloomberg Business Week. Coming up next from farming,

1:04:02.960 --> 1:04:06.000
<v Speaker 2>define wine and dining thanks to the upcoming return of

1:04:06.080 --> 1:04:08.440
<v Speaker 2>the annual New York City Wine and Food Festival.

1:04:08.640 --> 1:04:12.120
<v Speaker 3>The creator of it all, founder and executive director Lee Schreger.

1:04:12.280 --> 1:04:14.520
<v Speaker 3>On the other side, this is Bloomberg.

1:04:15.000 --> 1:04:18.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:04:18.600 --> 1:04:21.960
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

1:04:22.000 --> 1:04:26.080
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App,

1:04:26.320 --> 1:04:28.640
<v Speaker 1>or watch us live on YouTube.

1:04:29.240 --> 1:04:31.520
<v Speaker 2>Bloomberg News Economics edtor Molly Smith back with us for

1:04:31.560 --> 1:04:34.200
<v Speaker 2>our final segment. As you all know, we love, love

1:04:34.200 --> 1:04:36.960
<v Speaker 2>love talking food and wine here at Bloomberg Business Week.

1:04:37.480 --> 1:04:41.120
<v Speaker 2>It's always highlighted in the Bloomberg Pursuit section of the magazine.

1:04:41.120 --> 1:04:43.320
<v Speaker 2>With that in mind, the Food Network New York City

1:04:43.360 --> 1:04:45.840
<v Speaker 2>Wine and Food Festival about to get underway. Have you

1:04:45.880 --> 1:04:46.720
<v Speaker 2>ever gone?

1:04:46.920 --> 1:04:48.960
<v Speaker 6>I want to ask our next guest about it, because

1:04:48.960 --> 1:04:49.560
<v Speaker 6>I have not.

1:04:49.680 --> 1:04:53.600
<v Speaker 2>Shamefully, you're missing, missing I am. It's October twelfth through

1:04:53.680 --> 1:04:55.920
<v Speaker 2>the fifteenth brings together who's who in the food and

1:04:55.960 --> 1:04:59.400
<v Speaker 2>wine space. Chefs Danielle Boulu. We have had him on

1:04:59.480 --> 1:05:02.040
<v Speaker 2>our air many many and many more from the industries.

1:05:03.000 --> 1:05:05.440
<v Speaker 2>To tell us about it is Lee Schrager, founder and

1:05:05.480 --> 1:05:08.080
<v Speaker 2>executive director of the New York City Wine and Food Festival,

1:05:08.160 --> 1:05:09.480
<v Speaker 2>joining us on zoom in New York City.

1:05:09.560 --> 1:05:12.280
<v Speaker 5>Lee, how are you good to see you ladies.

1:05:12.320 --> 1:05:13.840
<v Speaker 7>How's everything doing well?

1:05:13.880 --> 1:05:16.320
<v Speaker 2>Doing well? I feel like on a daily basis I

1:05:16.320 --> 1:05:18.400
<v Speaker 2>could use a good meal and a great glass of wine.

1:05:18.720 --> 1:05:22.200
<v Speaker 2>Having said that, you guys, bet are in what your

1:05:22.320 --> 1:05:25.800
<v Speaker 2>sixteenth year tell us about it? Remind us about how

1:05:25.800 --> 1:05:27.800
<v Speaker 2>it all came to be and how it's evolved, and

1:05:28.280 --> 1:05:30.680
<v Speaker 2>your relationship with the Food Network and bringing this all

1:05:30.680 --> 1:05:31.240
<v Speaker 2>to life.

1:05:32.040 --> 1:05:34.280
<v Speaker 8>Well, sixteen years and you have not been once. That

1:05:34.400 --> 1:05:35.120
<v Speaker 8>is horrible.

1:05:35.200 --> 1:05:37.760
<v Speaker 2>I've been to the money Look at me. I've been

1:05:37.800 --> 1:05:40.280
<v Speaker 2>to the y I've been to South Beach for that version.

1:05:40.800 --> 1:05:43.280
<v Speaker 8>Okay, okay, Well that's how it all started. It started

1:05:43.280 --> 1:05:48.640
<v Speaker 8>actually in South Beach about twenty four years ago. Actually,

1:05:48.920 --> 1:05:51.360
<v Speaker 8>excuse me. We're going to our twenty three third year

1:05:51.440 --> 1:05:52.800
<v Speaker 8>in February and South Beach.

1:05:53.440 --> 1:05:57.040
<v Speaker 2>I'm curious though, why it took. Why South Beach first?

1:05:57.520 --> 1:06:00.200
<v Speaker 2>And then why you kind of waited a little but

1:06:00.240 --> 1:06:01.560
<v Speaker 2>before coming into New York.

1:06:03.240 --> 1:06:06.200
<v Speaker 8>Well two good answers for that. A. I live in

1:06:06.240 --> 1:06:11.880
<v Speaker 8>South Florida. So I started Thered because nothing is easy

1:06:11.920 --> 1:06:12.480
<v Speaker 8>in New York.

1:06:12.520 --> 1:06:14.040
<v Speaker 11>And I really say that again.

1:06:14.160 --> 1:06:14.240
<v Speaker 17>I.

1:06:15.800 --> 1:06:18.200
<v Speaker 8>Really wanted to make sure we kind of worked everything

1:06:18.240 --> 1:06:21.920
<v Speaker 8>out before we went into a city that really was

1:06:22.120 --> 1:06:25.240
<v Speaker 8>not forgiving in the sense, you know, they expect the best,

1:06:25.280 --> 1:06:27.040
<v Speaker 8>and I wanted to deliver the best. So when I

1:06:27.080 --> 1:06:29.520
<v Speaker 8>felt comfortable that we were as good as we were

1:06:29.560 --> 1:06:31.920
<v Speaker 8>going to get or as good as we could get,

1:06:31.960 --> 1:06:35.040
<v Speaker 8>to start moving forward and I felt comfortable, That's how

1:06:35.080 --> 1:06:35.600
<v Speaker 8>it happened.

1:06:36.320 --> 1:06:39.240
<v Speaker 6>So Lee asking for a friend here obviously, But if

1:06:39.280 --> 1:06:42.680
<v Speaker 6>you've never been to the Food Festival, the Food and

1:06:42.680 --> 1:06:45.640
<v Speaker 6>Wine Festival, sorry, what would you tell somebody a newcomer

1:06:45.720 --> 1:06:48.560
<v Speaker 6>what to expect, how to prepare, how much to budget

1:06:48.560 --> 1:06:50.840
<v Speaker 6>for something like this, and what kind of events should

1:06:50.840 --> 1:06:52.640
<v Speaker 6>you really be zooming in on. It seems like there's

1:06:52.680 --> 1:06:54.800
<v Speaker 6>just so much to choose from in so little time.

1:06:55.600 --> 1:06:59.320
<v Speaker 8>So I would really if it's if you're a first timer.

1:06:59.400 --> 1:07:01.520
<v Speaker 8>You know a lot of people who come for the

1:07:01.520 --> 1:07:04.240
<v Speaker 8>first time want to try so many things, And although

1:07:04.240 --> 1:07:06.080
<v Speaker 8>we would like to sell a lot of tickets to you,

1:07:06.400 --> 1:07:08.840
<v Speaker 8>I'd rather you do less and appreciate it because it

1:07:08.880 --> 1:07:12.120
<v Speaker 8>gets exhausting. If you're doing a runch next Friday with

1:07:12.160 --> 1:07:14.880
<v Speaker 8>Martha Stewart and Daniel Blow at Tiffany and then you're

1:07:14.880 --> 1:07:17.480
<v Speaker 8>going to go to the Grand Tasting in the daytime,

1:07:17.520 --> 1:07:19.680
<v Speaker 8>then you're going to go to the Bergabash at night time,

1:07:19.960 --> 1:07:22.800
<v Speaker 8>that's a lot, and I think it's too much. So

1:07:22.920 --> 1:07:25.720
<v Speaker 8>I always say to somebody, pick a daytime event and

1:07:25.720 --> 1:07:28.280
<v Speaker 8>one nighttime event, or a daytime event and one late

1:07:28.400 --> 1:07:31.080
<v Speaker 8>night event, or a dinner event and a late night event,

1:07:31.200 --> 1:07:36.160
<v Speaker 8>and really enjoy it. You know, wear comfortable shoes, drink responsibly,

1:07:36.400 --> 1:07:39.360
<v Speaker 8>and you know, don't overdo it. And you know there's

1:07:39.400 --> 1:07:42.320
<v Speaker 8>a lot of food. There's a lot of drink. New

1:07:42.400 --> 1:07:44.800
<v Speaker 8>York City is not easy to get around with traffic,

1:07:44.880 --> 1:07:47.480
<v Speaker 8>so I kind of pick where you know, even myself,

1:07:47.520 --> 1:07:49.680
<v Speaker 8>I pick where I'm going and keep to one keep

1:07:49.720 --> 1:07:52.240
<v Speaker 8>to an area every night, so I try to maximize

1:07:52.560 --> 1:07:53.400
<v Speaker 8>the events.

1:07:53.040 --> 1:07:53.520
<v Speaker 12>I can go to.

1:07:53.840 --> 1:07:56.600
<v Speaker 3>That was Lee Schrager, founder and executive director of the

1:07:56.640 --> 1:07:59.640
<v Speaker 3>New York City Wine and Food Festival. All net proceeds

1:07:59.680 --> 1:08:02.920
<v Speaker 3>benefiting the nonprofit God's Love We Deliver and it All

1:08:03.000 --> 1:08:05.680
<v Speaker 3>kicks off on Thursday. And for more details about the

1:08:05.760 --> 1:08:07.680
<v Speaker 3>menus and the celebs that will be part of this

1:08:07.880 --> 1:08:10.479
<v Speaker 3>iconic event, just head on over to our podcast feed.

1:08:10.760 --> 1:08:12.840
<v Speaker 2>And that wraps up the weekend edition of Bloomberg Business

1:08:12.840 --> 1:08:15.240
<v Speaker 2>Week from Bloomberg Radio. Thank you so much for joining us,

1:08:15.440 --> 1:08:17.759
<v Speaker 2>and a big thanks to Simone Foxman and Molly Smith

1:08:17.800 --> 1:08:20.120
<v Speaker 2>of Bloomberg for their help over this past week.

1:08:20.200 --> 1:08:20.400
<v Speaker 1>Yeah.

1:08:20.479 --> 1:08:22.240
<v Speaker 3>Really grateful to everyone on the team for jumping in

1:08:22.240 --> 1:08:24.639
<v Speaker 3>when I'm certainly not available. Be sure to tune into

1:08:24.640 --> 1:08:27.280
<v Speaker 3>Bloomberg Business Week Monday through Friday starting at three pm

1:08:27.320 --> 1:08:29.880
<v Speaker 3>Wall Street Time on Bloomberg Radio and on Sirius XM

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1:08:30.960 --> 1:08:33.439
<v Speaker 2>You can also watch our daily broadcast on YouTube just

1:08:33.479 --> 1:08:37.320
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1:08:37.360 --> 1:08:42.240
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1:08:42.600 --> 1:08:44.240
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1:08:44.560 --> 1:08:47.719
<v Speaker 3>Find our Bloomberg Business Week podcast at Bloomberg dot com, Apple,

1:08:47.800 --> 1:08:50.400
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1:08:50.439 --> 1:08:53.120
<v Speaker 3>the magazine is available on newsstands now at Bloomberg dot

1:08:53.160 --> 1:08:56.080
<v Speaker 3>com and always on the Bloomberg Terminal. I'm Tim Steneveek

1:08:56.120 --> 1:08:58.559
<v Speaker 3>and I'm Carol Masser. Have a good and safe weekend.

1:08:58.680 --> 1:09:01.559
<v Speaker 2>Stay with us. Today's top store and global business headlines

1:09:01.720 --> 1:09:03.080
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1:09:03.960 --> 1:09:08.600
<v Speaker 1>This is the Bloomberg Business Week Podcast, available on Apple, Spotify,

1:09:08.760 --> 1:09:12.439
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1:09:12.479 --> 1:09:16.080
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1:09:16.120 --> 1:09:19.439
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1:09:19.520 --> 1:09:22.480
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