WEBVTT - Bloomberg Businessweek Weekend - March 24th, 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 Stenebec from Bloomberg Radio. Hi, everyone,

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<v Speaker 1>Welcome to the weekend edition of Bloomberg Business Week. Big

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<v Speaker 1>focal point this week, FED second monetary policy meeting of

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<v Speaker 1>the year, raising interest rates by a quarter percentage point

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<v Speaker 1>and signaling it's not finished hiking despite the risk of

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<v Speaker 1>exacerbating a bank crisis. That's royal Global markets well more

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<v Speaker 1>than that in just a moment. Also ahead, a state

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<v Speaker 1>of play as Vladimir Putin welcomes China's jijimping to Moscow

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<v Speaker 1>while the war Ukraine grinds on. Plus the CEO of

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<v Speaker 1>identity management platform Octa on it spending. And we've got

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<v Speaker 1>a must read story from our magazine team about what

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<v Speaker 1>happens when chatbots get raunchy with their human companions. Yep,

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<v Speaker 1>you heard right of that to come, we begin with

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<v Speaker 1>our big backdrop this week, and that was the FED

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<v Speaker 1>meeting and continued vigilance over banks with us our Business

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<v Speaker 1>Week Editors roundtable Markets and Finance editor Pat Rigneer, Economics

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<v Speaker 1>editor Christina Lindblab and Bloomberg News Federal Reserve reporter Matt

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<v Speaker 1>Bosler the trio joining me and Bloomberg's Mic Reagan to

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<v Speaker 1>breakdown the week that was. So we were thinking not

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<v Speaker 1>only about sort of like how big will the hike be,

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<v Speaker 1>but what message is that going to send? And you know,

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<v Speaker 1>it gets into you know, Vulcan three dimensional chests really fast,

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<v Speaker 1>you know, like like maybe the you know, if if

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<v Speaker 1>he's worried about the banks, will will he not do

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<v Speaker 1>a hike at all? Or will if he's worried about

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<v Speaker 1>the banks, will he do a hike because he doesn't

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<v Speaker 1>want to let people know that he's worried about the banks.

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<v Speaker 1>It seems like we got kind of the Goldilocks hike,

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<v Speaker 1>at least at least from the point of view of

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<v Speaker 1>how upsetting the week was going to be. It seems

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<v Speaker 1>like the hike we got was the one that sort

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<v Speaker 1>of kept more things from happening, at least for the

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<v Speaker 1>last couple of days. Wait, did you say Vulcan three

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<v Speaker 1>dimensional chests a geek test? I think is the I

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<v Speaker 1>don't remember that's from Star Wars start right, I may

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<v Speaker 1>have gotten the number of dimensions of chance runs. Well

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<v Speaker 1>that's kind of the week that was. I mean, um, Christina,

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<v Speaker 1>come on in on this. I mean, and you know

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<v Speaker 1>we're focusing. We're gonna bring Matt in in just a moment.

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<v Speaker 1>The US central banks so in focus, but we have

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<v Speaker 1>several global central banks, you know, looking at inflation, looking

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<v Speaker 1>at what's going on. It's been a busy I feel

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<v Speaker 1>like week and certainly last week if you rolled the

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<v Speaker 1>European Central Bank into it, yeah, well, the ACB went

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<v Speaker 1>out ahead of the FED basically saying, you know, we

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<v Speaker 1>can do price stability and financial stability at the same time.

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<v Speaker 1>It's not a choice, and that you know, they that

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<v Speaker 1>they had the mandate, you know, to to slay inflation.

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<v Speaker 1>And I think the message this week was the same

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<v Speaker 1>from the FED. I found it interesting that going into

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<v Speaker 1>the meeting, everyone's expectations were completely scrambled right up to it,

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<v Speaker 1>you know, with like I think Goldman coming out saying,

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<v Speaker 1>you know, no hike. I think Nomura maybe like saying

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<v Speaker 1>like cut maybe as soon as as this meeting, and

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<v Speaker 1>then though after the meeting is like and now we've

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<v Speaker 1>resume our regular programming in which Wall Street starts wishing

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<v Speaker 1>for the pivot. It was. It was whacky. I feel

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<v Speaker 1>like there were so many different scenarios. Matt Bosler, come

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<v Speaker 1>on in. You followed the Fed, half followed the Fed here,

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<v Speaker 1>you know, thinking about the week that was what is

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<v Speaker 1>top of mind for you? Well, I think, you know,

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<v Speaker 1>yesterday's FED decision and Jerome Powell's press conference were really

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<v Speaker 1>interesting because, you know, at first they announced a rate hike,

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<v Speaker 1>their projections didn't show much more tightening. Markets initially responded

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<v Speaker 1>positively to that, but then of course they sold off

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<v Speaker 1>pretty heavily near the end of the press conference and thereafter.

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<v Speaker 1>And so I think the broad takeaway was just not

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<v Speaker 1>necessarily a lot of confidence that the Fed is fully

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<v Speaker 1>attuned to the risks out there right now. And if

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<v Speaker 1>you look kind of under the hood of some of

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<v Speaker 1>the projections they put out, there's also a bit more

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<v Speaker 1>of an acceptance on their part of the potential downside

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<v Speaker 1>risks here. You know, the way the economic projections they

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<v Speaker 1>put out basically implicitly have a recession written into them now,

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<v Speaker 1>whereas they didn't three months ago the last time they

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<v Speaker 1>issued projections. And so just that, you know, seeming willingness

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<v Speaker 1>on the part of policymakers to allow those greater downside

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<v Speaker 1>scenarios to materialize, especially right in the middle of a

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<v Speaker 1>bit of a crisis in the banking system that in

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<v Speaker 1>large part has been brought about by the aggressive rate

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<v Speaker 1>hikes over the last year. You know, that's not necessarily

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<v Speaker 1>exactly what Wall Street may have wanted to hear from

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<v Speaker 1>the Fed yesterday. Man, I have a question, how much

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<v Speaker 1>do you think the Fed, in advance of everything that

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<v Speaker 1>happened with a Silicon Dolly Bank anticipated that what they

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<v Speaker 1>were doing could potentially have, you know, the effect of

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<v Speaker 1>like breaking a bank. You know, I think we often

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<v Speaker 1>think of when we talk about how rate high works.

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<v Speaker 1>We think of them is only the kind of pneumatic things.

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<v Speaker 1>It's like, well, they're gonna raise rates and that's gonna

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<v Speaker 1>like raise borrowing costs and it's gonna sort of slow

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<v Speaker 1>things down and make financial conditions tighter. But like anybody

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<v Speaker 1>who remembers like the nineteen eighties knows that, like when

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<v Speaker 1>you change interest rate regimes, like you can bust a

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<v Speaker 1>bunch of financial institutions. We had a long savings and

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<v Speaker 1>loan crisis through the eighties. After this is this was

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<v Speaker 1>this part of their mental model for what might happen

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<v Speaker 1>if they raise rates, that they could have an accident

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<v Speaker 1>like this, and that that is actually part of the mechanism,

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<v Speaker 1>or it was this as much of a surprise to

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<v Speaker 1>them as it was to us. I think you have

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<v Speaker 1>to assume that, you know, most or all FED officials

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<v Speaker 1>are very aware of the history that you're talking about, right,

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<v Speaker 1>I mean, this is like kind of just fed one

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<v Speaker 1>on one for everyone inside the Central Bank on the

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<v Speaker 1>one hand. On the other hand, there certainly was no

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<v Speaker 1>public you know, discussion of these risks, right, and the

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<v Speaker 1>conversation has always been couched more in terms of the

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<v Speaker 1>effect that tightening financial conditions would have on economic growth

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<v Speaker 1>and labor markets and inflation, and you know, more of

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<v Speaker 1>a linear kind of step change to tighter conditions leading

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<v Speaker 1>to that slow down in growth. You know. The other

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<v Speaker 1>big thing that people have been talking about the last

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<v Speaker 1>few weeks is that there was no rising interest rate

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<v Speaker 1>scenario in the FEDS stress tests of the banks. So

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<v Speaker 1>that's another place where that conversation seemingly was a little

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<v Speaker 1>bit absent, you know, Matt, As you know, I view

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<v Speaker 1>all of these issues through the lens of the stock

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<v Speaker 1>market mainly, and the story there is almost that the

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<v Speaker 1>rate increases almost an afterthought. What everyone instead is looking

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<v Speaker 1>at is the extension of the Fed's balance sheet. You know,

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<v Speaker 1>one hundred and fifty some billion dollars loaned out through

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<v Speaker 1>the discount window, and you get people using the old

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<v Speaker 1>pandemic ra expression money printer go burr, meaning the Fed

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<v Speaker 1>is flooding the system with liquidity, and that's just a

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<v Speaker 1>natural reaction is to buy stocks, by crypto, by risky assets.

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<v Speaker 1>But to me, I feel like there's a big difference

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<v Speaker 1>between what the Fed's doing now extending ninety day loans

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<v Speaker 1>to banks versus quantitative easing when they were buying treasuries

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<v Speaker 1>and mortgage backed securities from banks, and that it's kind

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<v Speaker 1>of a mistake to view the expansion of the balance

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<v Speaker 1>sheet as having the same effect. I'm curious how you

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<v Speaker 1>think about it. Yeah, so, you know, the FED wants

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<v Speaker 1>to keep these two things separate, right, They want to

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<v Speaker 1>be able to continue their balance sheet reduction program and

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<v Speaker 1>also have these facilities that are temporary, temporarily expanding the

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<v Speaker 1>balance sheet. And that was actually one of the things

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<v Speaker 1>that you know, it was a little bit interesting about

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<v Speaker 1>yesterday's decision, they didn't announce any plans to slow down

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<v Speaker 1>or stop the pace of their balance sheet reduction program.

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<v Speaker 1>Right They're still allowing these bonds that are on their

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<v Speaker 1>balance sheet that are coming due every month to just

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<v Speaker 1>roll off, which is having the effect of removing reserves

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<v Speaker 1>from the banking system even as they're temporarily adding them

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<v Speaker 1>through these facilities. And a lot of analysts over the

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<v Speaker 1>last two weeks have pointed out that, you know, this

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<v Speaker 1>is kind of a counterproductive thing, and it would make

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<v Speaker 1>sense for them to, you know, maybe temporarily halt the

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<v Speaker 1>balance sheet reduction so as to be more in keeping

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<v Speaker 1>with what they're doing on the emergency lending side. Now. Interestingly,

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<v Speaker 1>that was one of the things that came up near

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<v Speaker 1>the end of the press conference when you started really

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<v Speaker 1>seeing markets sell off after an initial positive reaction to

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<v Speaker 1>the FED decision. When Powell was asked whether it had

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<v Speaker 1>even been discussed at the meeting that you know, they

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<v Speaker 1>might consider slowing the pace or stopping the pace of

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<v Speaker 1>balance sheet reduction, he said that it wasn't something that

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<v Speaker 1>had really been discussed at the meeting, and so just that,

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<v Speaker 1>you know, very blunt, like it was not even on

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<v Speaker 1>the table. I think, you know, potentially could have contributed

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<v Speaker 1>a little bit to the overall turn and sentiment toward

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<v Speaker 1>the end of the presser, Christina say not in your

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<v Speaker 1>head in a big way. No, I mean I would

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<v Speaker 1>like the stuff that Matt's been doing. He's been writing about,

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<v Speaker 1>you know, I think interestingly the stuff about in the

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<v Speaker 1>SEP in the latest round of economic projections in which

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<v Speaker 1>you know, I mean, the feed has been very careful

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<v Speaker 1>not to say the word recession unless you know, asked

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<v Speaker 1>pointed questions about it. But like you know, if you

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<v Speaker 1>look at you know, the GDP track or the Atlanta

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<v Speaker 1>FED has you know, says, you know, first quarter GDP

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<v Speaker 1>growth at three point two percent, that means that for

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<v Speaker 1>the rest of the year to get to the zero

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<v Speaker 1>point four that the FETE is forecasting for all of

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<v Speaker 1>it means that we have to be shrinking for the

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<v Speaker 1>rest of the year. Many thanks to the Bloomberg BusinessWeek

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<v Speaker 1>editorial team of Pat Ragneer and Christina Lynn Blad, along

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<v Speaker 1>with FED reporter Matt Bosler Bloomberg Market Senior editor Mike

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<v Speaker 1>Reagan with us there as well. Coming up, as the

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<v Speaker 1>war in Ukraine hits the thirteen month mark, Vladimir Putin

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<v Speaker 1>looks to show up an alliance with his Chinese counterpart,

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<v Speaker 1>She Jimping. Jimping talks about how the two countries Russian

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<v Speaker 1>China are united in opposition to a geminy, domination and bullying.

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<v Speaker 1>I think it's really about showing their mutual opposition to

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<v Speaker 1>a US led world order. You're listening to Bloomberg Business Week.

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<v Speaker 1>This is Bloomberg. You're listening to the Bloomberg Business Week podcast.

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<v Speaker 1>Catch us live weekday afternoons from three to six Eastern

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<v Speaker 1>Listen on Bloomberg dot Com, the iHeartRadio app, and the

0:10:27.679 --> 0:10:32.680
<v Speaker 1>Bloomberg Business app, or watch us live on YouTube for

0:10:32.760 --> 0:10:35.720
<v Speaker 1>three days. This past week, Russian President Vladimir Putin and

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<v Speaker 1>Chinese President Jejimping met. The visit by Ji, his first

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<v Speaker 1>to Russia since Putin's army invaded Ukraine just over a

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<v Speaker 1>year ago, marked a political win for both leaders. Gee

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<v Speaker 1>saw an opportunity to push back at the US and

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<v Speaker 1>buttress his image as a global statesman after helping to

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<v Speaker 1>broker a Saudi randal, while Putin can show he has

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<v Speaker 1>the support of one of the world's most powerful leaders,

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<v Speaker 1>even as the US and its ally try to isolate him.

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<v Speaker 1>Yet the lack of progress on any major energy deals

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<v Speaker 1>or specifics on other areas of economic cooperation showed some

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<v Speaker 1>hesitation from China on appearing too close to Russia. Meantime,

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<v Speaker 1>the Biden administration unveiled tight restrictions on new operations in

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<v Speaker 1>China by chipmakers that get federal funds to build in

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<v Speaker 1>the US, potentially hampering efforts to expand in the world's

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<v Speaker 1>largest semiconductor arena. And then we had Vanguards said to

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<v Speaker 1>be shuttering its business in China after a retreat two

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<v Speaker 1>years ago. There was so much going on. So Earlier

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<v Speaker 1>in the week, Bloomberg News deputy team leader for US

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<v Speaker 1>Equities Jess Metton and I caught up with Dexter Tiff Roberts.

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<v Speaker 1>He's a senior fellow at the Atlantic Council's Indo Pacific

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<v Speaker 1>Security Initiative and former Bloomberg Business Weeks China Bureau chief.

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<v Speaker 1>Our first question to Tiff should we be concerned about

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<v Speaker 1>Moscow and Beijing strengthening ties? Yes, I do think the

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<v Speaker 1>world should be worried. China has been selling this ongoing

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<v Speaker 1>visit by Hijimking to Moscow and the meetings Putin as

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<v Speaker 1>a mission of peace and talking about their twelve point

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<v Speaker 1>plan to try to bring peace in Ukraine. But I

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<v Speaker 1>think that's really a bit of propaganda. If you look at,

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<v Speaker 1>for example, the commentary that Shijim King published in Russian media.

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<v Speaker 1>Putin also did a commentary in Chinese media right on

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<v Speaker 1>the eve of the visit. Jim King talks about how

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<v Speaker 1>the two countries Russian China are united in opposition to hegemony, domination,

0:12:35.760 --> 0:12:40.320
<v Speaker 1>and bullying. I think it's really about showing their mutual

0:12:40.320 --> 0:12:44.920
<v Speaker 1>opposition to a US led world order. And something that

0:12:45.320 --> 0:12:47.600
<v Speaker 1>really struck me is just when it comes to these

0:12:47.800 --> 0:12:51.760
<v Speaker 1>chip makers that obviously have that exposure toward China, what

0:12:51.840 --> 0:12:54.760
<v Speaker 1>do you think from a broad sense, a big picture sense,

0:12:54.800 --> 0:12:57.200
<v Speaker 1>do you think this means for corporate American, especially these

0:12:57.280 --> 0:13:02.439
<v Speaker 1>semiconductor type companies that aren't going to benefit from this. Well,

0:13:02.440 --> 0:13:06.760
<v Speaker 1>I think it's not good news for corporate America. The

0:13:07.400 --> 0:13:11.400
<v Speaker 1>already multiple problems, very real problems in the US China

0:13:11.440 --> 0:13:15.160
<v Speaker 1>relationship have been putting pressure on corporate America. And you

0:13:15.240 --> 0:13:21.000
<v Speaker 1>mentioned semiconductors. The US is in the midst of an

0:13:21.000 --> 0:13:26.240
<v Speaker 1>a radical rethinking of its semiconductor relationship with China, and

0:13:26.280 --> 0:13:29.760
<v Speaker 1>as as I think Carol mentioned an introduction, there's new

0:13:29.800 --> 0:13:35.160
<v Speaker 1>restrictions coming almost every week on US companies, US persons

0:13:35.800 --> 0:13:39.960
<v Speaker 1>being associated in any way with the Chinese semiconductor industry. Well,

0:13:40.000 --> 0:13:44.400
<v Speaker 1>it's a big market for the US on the semiconductor

0:13:44.440 --> 0:13:48.520
<v Speaker 1>side and obviously more broadly, so this is not good news.

0:13:48.960 --> 0:13:51.600
<v Speaker 1>One more source of very real tension between the US

0:13:51.640 --> 0:13:56.160
<v Speaker 1>and China. Just budding relationship that's growing stronger and stronger

0:13:56.200 --> 0:14:01.520
<v Speaker 1>between Russian China. One more reason to one more place

0:14:01.520 --> 0:14:05.119
<v Speaker 1>where there's really bad news for the US corporate relationship

0:14:05.160 --> 0:14:07.880
<v Speaker 1>with China. Are we at the point of no return

0:14:08.160 --> 0:14:11.960
<v Speaker 1>where China and President Gee specifically have turned its back

0:14:12.080 --> 0:14:16.719
<v Speaker 1>on the United States. I think we can't say we're

0:14:16.720 --> 0:14:19.360
<v Speaker 1>at the point of no return, but I would note

0:14:19.480 --> 0:14:23.840
<v Speaker 1>that last week or during the two sessions the annual

0:14:24.240 --> 0:14:29.920
<v Speaker 1>Legislatives meetings held in Beijing, Shijingping actually singled out the

0:14:30.040 --> 0:14:34.080
<v Speaker 1>US by name, which he doesn't usually do, and said

0:14:34.120 --> 0:14:37.320
<v Speaker 1>that they were leading a block of world nations that

0:14:37.760 --> 0:14:42.160
<v Speaker 1>were trying to contain and suppress China and bringing severe

0:14:42.240 --> 0:14:45.720
<v Speaker 1>challenges to China's development. That's a big deal. Shijing Ping

0:14:45.840 --> 0:14:48.640
<v Speaker 1>usually when he's referring to the US will say something

0:14:48.720 --> 0:14:53.520
<v Speaker 1>like certain countries or hostile foreign forces. But I think

0:14:53.520 --> 0:14:56.360
<v Speaker 1>the fact that he mentioned the US at this point

0:14:56.360 --> 0:15:00.720
<v Speaker 1>by name shows just how bad the relationship is. All Right,

0:15:00.720 --> 0:15:03.520
<v Speaker 1>tiff for at risk of sounding really stupid, but I'm

0:15:03.520 --> 0:15:09.680
<v Speaker 1>okay with that. I mean, is China desperate? I don't

0:15:09.720 --> 0:15:12.840
<v Speaker 1>think China feels desperate at this point. I think that

0:15:12.880 --> 0:15:16.320
<v Speaker 1>what they're doing is, first of all, they're going to

0:15:16.320 --> 0:15:19.040
<v Speaker 1>do their best to try to continue to woo American

0:15:19.080 --> 0:15:24.000
<v Speaker 1>corporates to China. The spokesman for the Ministry of Commerce

0:15:24.040 --> 0:15:28.000
<v Speaker 1>during the same legislative meetings basically sent out the message

0:15:28.000 --> 0:15:30.480
<v Speaker 1>we're open for business, we want you, we want you

0:15:30.520 --> 0:15:32.920
<v Speaker 1>back now that we're lifting we've lifted the restrictions from

0:15:32.960 --> 0:15:36.480
<v Speaker 1>the pandemic. So they want corporate America. But they're going

0:15:36.520 --> 0:15:39.360
<v Speaker 1>to try to sort of divide and conquer. They realize

0:15:39.360 --> 0:15:42.600
<v Speaker 1>that the relationship with Washington is in very dire strait.

0:15:43.040 --> 0:15:45.480
<v Speaker 1>At the same time, they're trying to woo Europe and

0:15:45.520 --> 0:15:50.000
<v Speaker 1>it's obviously not easy when they've cited to the degree

0:15:50.040 --> 0:15:53.800
<v Speaker 1>to which they have with Putin in the invasion of Ukraine.

0:15:54.040 --> 0:15:57.520
<v Speaker 1>And you were talking about the strained relationship China does

0:15:57.600 --> 0:16:00.200
<v Speaker 1>have with Washington. What do you think the long game

0:16:00.480 --> 0:16:03.720
<v Speaker 1>is here for China? What is the sort of motivation

0:16:03.800 --> 0:16:08.840
<v Speaker 1>to all of this? I do think and I am

0:16:08.880 --> 0:16:13.960
<v Speaker 1>concerned that China is deciding that the two sides are

0:16:14.680 --> 0:16:18.200
<v Speaker 1>implacably opposed to each other and that they're the room

0:16:18.320 --> 0:16:23.760
<v Speaker 1>for actual cooperation is narrowing. So UM, I hope that's

0:16:23.800 --> 0:16:26.560
<v Speaker 1>not the case, but I do feel I do get

0:16:26.600 --> 0:16:30.280
<v Speaker 1>that feeling that this is increasingly how Beijing fealed. I think,

0:16:30.280 --> 0:16:32.760
<v Speaker 1>as I said, they're they're certainly not going to close

0:16:32.800 --> 0:16:35.480
<v Speaker 1>the door to American companies. They're certainly not going to

0:16:35.520 --> 0:16:39.840
<v Speaker 1>close the door to the European Union. Um, they if

0:16:39.880 --> 0:16:46.000
<v Speaker 1>the US, If the US were to move a little

0:16:46.000 --> 0:16:49.720
<v Speaker 1>closer to what China thinks is a proper bilateral relationship,

0:16:49.760 --> 0:16:52.480
<v Speaker 1>I bet Beijing would be willing to more than willing

0:16:52.480 --> 0:16:55.720
<v Speaker 1>to talk with Washington. But I do think that the

0:16:55.920 --> 0:16:59.000
<v Speaker 1>trend lines are pretty bad. You know, you talk about

0:16:59.000 --> 0:17:01.320
<v Speaker 1>closing doors, and it's interesting. There was another story in

0:17:01.320 --> 0:17:04.440
<v Speaker 1>the Bloomberg Tiff today about Vanguard planning to shutter its

0:17:04.440 --> 0:17:07.960
<v Speaker 1>business in China. This is after they've been I guess

0:17:08.000 --> 0:17:10.439
<v Speaker 1>a retreat two years ago. This according to folks familiar

0:17:10.480 --> 0:17:12.920
<v Speaker 1>with the matter, but you know, in our story it

0:17:12.960 --> 0:17:15.280
<v Speaker 1>says the moves will mark a complete exit from China

0:17:15.359 --> 0:17:17.600
<v Speaker 1>for the seven point one trillion dollars giant, which one

0:17:17.640 --> 0:17:21.280
<v Speaker 1>saw significant potential in the world's second largest economy. I've

0:17:21.280 --> 0:17:23.360
<v Speaker 1>said it a million times before because I think about

0:17:23.359 --> 0:17:26.000
<v Speaker 1>at the beginning of my career, any company I talked to,

0:17:26.440 --> 0:17:28.199
<v Speaker 1>it was as China was real, you know, it was

0:17:28.280 --> 0:17:33.440
<v Speaker 1>opening its doors and kind of almost begging multinationals from

0:17:33.480 --> 0:17:36.240
<v Speaker 1>around the world to come in, set up shop, you know,

0:17:36.400 --> 0:17:39.600
<v Speaker 1>kind of teach us what you know. And it's it's

0:17:39.600 --> 0:17:41.960
<v Speaker 1>only you know, a few decades ago that I feel

0:17:42.000 --> 0:17:47.040
<v Speaker 1>like things have changed dramatically. So it's pretty significant. The shift,

0:17:48.520 --> 0:17:52.919
<v Speaker 1>I think it really is significant. We're seeing hedge funds

0:17:52.920 --> 0:17:56.399
<v Speaker 1>pulling out. Came in early after the pandemic restrictions were lifted,

0:17:56.440 --> 0:17:59.399
<v Speaker 1>and then they were they started getting out. We see,

0:17:59.480 --> 0:18:02.320
<v Speaker 1>you know, based by the American Chamber of Commerce that

0:18:02.400 --> 0:18:05.080
<v Speaker 1>are showing that for the first time, China is not

0:18:05.119 --> 0:18:10.160
<v Speaker 1>even a top three investment choice for American companies. You're

0:18:10.200 --> 0:18:14.600
<v Speaker 1>seeing companies, American companies say that they are very they

0:18:14.600 --> 0:18:17.680
<v Speaker 1>feel very little optimism about the China market going forward,

0:18:18.000 --> 0:18:21.760
<v Speaker 1>and yeah, we're seeing some big prominent examples like Vanguard.

0:18:22.240 --> 0:18:25.159
<v Speaker 1>It sounds like that are thinking of actually moving on

0:18:25.280 --> 0:18:28.840
<v Speaker 1>somewhere else. So I do think there's been a real shift.

0:18:29.560 --> 0:18:32.240
<v Speaker 1>China is trying to China doesn't want to see that happen,

0:18:32.280 --> 0:18:34.960
<v Speaker 1>as I said a moment ago, so they're trying. They're

0:18:35.000 --> 0:18:38.679
<v Speaker 1>trying to put out this message We're open to the world,

0:18:39.160 --> 0:18:42.000
<v Speaker 1>I'll come back investors. But things aren't looking very good

0:18:42.000 --> 0:18:44.399
<v Speaker 1>on that front. Hey, Tiff, just got about thirty seconds

0:18:44.480 --> 0:18:45.920
<v Speaker 1>last time you were on. I asked if you were

0:18:45.920 --> 0:18:47.679
<v Speaker 1>writing a new book. You said you were heading in

0:18:47.680 --> 0:18:50.720
<v Speaker 1>that direction. The title you offered up maybe China isn't

0:18:50.720 --> 0:18:52.720
<v Speaker 1>going to take over the world. Would that still be

0:18:52.760 --> 0:19:00.359
<v Speaker 1>the title? Absolutely? I see tremendous structural challenges facing China, demography,

0:19:00.760 --> 0:19:05.080
<v Speaker 1>growing inequality, and above all this politicization from the top

0:19:05.160 --> 0:19:10.480
<v Speaker 1>leadership and Chijing thing himself. That makes it much less

0:19:10.520 --> 0:19:12.840
<v Speaker 1>likely it's going to be the economic superpower many of

0:19:12.920 --> 0:19:14.840
<v Speaker 1>us thought it was going to be. That was Dexter

0:19:14.880 --> 0:19:17.719
<v Speaker 1>Tiff Roberts, Senior Fellow at the Atlantic Council's Indo Pacific

0:19:17.800 --> 0:19:21.560
<v Speaker 1>Security Initiative and former Bloomberg BusinessWeek, China Bureau Chief. His

0:19:21.640 --> 0:19:25.360
<v Speaker 1>most recent book. It is titled The Myth of Chinese Capitalism,

0:19:25.400 --> 0:19:27.800
<v Speaker 1>The Worker, the Factory and the Future of the World.

0:19:28.200 --> 0:19:30.639
<v Speaker 1>We certainly are looking forward to his next one. All right,

0:19:30.640 --> 0:19:33.440
<v Speaker 1>Bloomberg's Jess Mattins sticking around with us, still ahead on

0:19:33.480 --> 0:19:36.560
<v Speaker 1>Bloomberg Business Week. How the collapse of Silicon Valley Bank

0:19:36.720 --> 0:19:40.320
<v Speaker 1>is reverberating through the tech sector for companies of all sizes.

0:19:40.520 --> 0:19:43.800
<v Speaker 1>Todd McKinnon, the CEO of publicly traded Octa, joins us. Next,

0:19:44.000 --> 0:19:52.679
<v Speaker 1>This is Bloomberg. You're listening to the Bloomberg Business Week podcast.

0:19:52.920 --> 0:19:56.160
<v Speaker 1>Catch us live weekday afternoons from three to six Eastern

0:19:56.280 --> 0:20:00.159
<v Speaker 1>on Bloomberg Radio, the Bloomberg Business app, and YouTube. You

0:20:00.160 --> 0:20:03.360
<v Speaker 1>can also listen live on Amazon Alexa from our flagship

0:20:03.440 --> 0:20:09.120
<v Speaker 1>New York station, jo Say Alexa playing Bloomberg eleven thirty Well.

0:20:09.160 --> 0:20:12.080
<v Speaker 1>Earlier this month, Octa reported earnings that sended stock starring

0:20:12.119 --> 0:20:15.560
<v Speaker 1>some thirteen percent, and gave an upbeat first quarter revenue forecast.

0:20:15.680 --> 0:20:18.560
<v Speaker 1>Like many tech companies, though it is finding a focus

0:20:18.600 --> 0:20:21.320
<v Speaker 1>on efficiency, it is paying off for the company. The stock,

0:20:21.359 --> 0:20:23.960
<v Speaker 1>by the way, up more than twenty percent year to date,

0:20:24.040 --> 0:20:26.080
<v Speaker 1>So let's get to it. Lots of questions for our

0:20:26.119 --> 0:20:29.840
<v Speaker 1>next guest. Todd McKinnon is the CEO and founder of Octa.

0:20:29.920 --> 0:20:32.760
<v Speaker 1>It's a fourteen year old software maker known for authentication

0:20:32.880 --> 0:20:36.239
<v Speaker 1>services count Sono, Assume, Hpe, and open Ai among its

0:20:36.320 --> 0:20:39.320
<v Speaker 1>customers and lucky for us, Todd's and our Bloomberg Interactive

0:20:39.320 --> 0:20:41.879
<v Speaker 1>Broker studio. So nice to have you here. I do

0:20:42.000 --> 0:20:45.199
<v Speaker 1>have a million questions that we're to cram into eight minutes.

0:20:46.240 --> 0:20:50.240
<v Speaker 1>First of all, Silicon Valley Bank, tell us about the

0:20:50.240 --> 0:20:52.720
<v Speaker 1>relationship you guys have had with them and how you

0:20:52.760 --> 0:20:56.399
<v Speaker 1>see this situation. It's for many companies, Octa included. It

0:20:56.440 --> 0:20:58.480
<v Speaker 1>was the first bank we had as a company. We

0:20:58.600 --> 0:21:00.399
<v Speaker 1>raised our financing and we put it in there and

0:21:00.400 --> 0:21:03.760
<v Speaker 1>started running the business. And over the years the relationship.

0:21:03.800 --> 0:21:05.280
<v Speaker 1>Did you put more than two hundred and fifty thousand

0:21:05.280 --> 0:21:07.280
<v Speaker 1>dollars in deposit? For sure? I mean our first our

0:21:07.320 --> 0:21:09.160
<v Speaker 1>first seed round was a million dollars. In the next

0:21:09.240 --> 0:21:11.520
<v Speaker 1>round was ten million dollars and it went in all yeah,

0:21:11.560 --> 0:21:14.600
<v Speaker 1>all in Silicon Valley Bank. Sorry, yeah. And so over

0:21:14.600 --> 0:21:16.320
<v Speaker 1>the years, what happens is you grow and you do

0:21:16.400 --> 0:21:18.359
<v Speaker 1>in the big diversification point I think for a lot

0:21:18.400 --> 0:21:21.280
<v Speaker 1>of companies is when they go international, it's really you

0:21:21.320 --> 0:21:23.440
<v Speaker 1>have to have a big diverse set of banking partners

0:21:23.440 --> 0:21:26.639
<v Speaker 1>to pay internationally, to accept payments internationally. So that was

0:21:26.680 --> 0:21:29.440
<v Speaker 1>the point of diversification. But for a company that's early

0:21:29.480 --> 0:21:33.480
<v Speaker 1>in its life cycle, it's it was really a it's

0:21:33.480 --> 0:21:35.600
<v Speaker 1>a serious issue for a company that has operational to

0:21:35.680 --> 0:21:38.560
<v Speaker 1>a lifeline for you guys are crucial, right, yeah, Well

0:21:38.600 --> 0:21:41.360
<v Speaker 1>we've evolved passing yeah in the early days, but once

0:21:41.400 --> 0:21:43.200
<v Speaker 1>you get to a certain size and scale like we are,

0:21:43.440 --> 0:21:45.760
<v Speaker 1>you're pretty diverse. But it did bring back memories of

0:21:45.840 --> 0:21:48.280
<v Speaker 1>when we were. Octa was founded in the right after

0:21:48.320 --> 0:21:51.119
<v Speaker 1>the financial crisis fourteen years old, started in two thousand

0:21:51.160 --> 0:21:53.439
<v Speaker 1>and nine, so it really brought back some memories of

0:21:53.480 --> 0:21:56.280
<v Speaker 1>banks failing and you know, be in that early stage

0:21:56.280 --> 0:21:58.160
<v Speaker 1>of a company where you're trying to survive and trying

0:21:58.160 --> 0:21:59.800
<v Speaker 1>to get product market fit. And the last thing you

0:21:59.800 --> 0:22:01.840
<v Speaker 1>want to deal with as a small startup, as you're

0:22:02.080 --> 0:22:05.440
<v Speaker 1>something you trusted as being really something that could never

0:22:05.480 --> 0:22:07.040
<v Speaker 1>go away, is to have a serious question about it.

0:22:07.040 --> 0:22:09.080
<v Speaker 1>If it would be around Todd No Silicon Valley Bank,

0:22:09.119 --> 0:22:12.600
<v Speaker 1>What does it mean then for entrepreneurs, like, what's what

0:22:12.680 --> 0:22:17.000
<v Speaker 1>Todd McKinnon today do well? Entrepreneurs are by definition pretty

0:22:17.040 --> 0:22:21.960
<v Speaker 1>adaptive and different Todd McKinnon, Yeah, exactly, exactly. They're pretty

0:22:21.960 --> 0:22:26.080
<v Speaker 1>adaptive and they're good at navigating changes and uncertainty. If

0:22:26.080 --> 0:22:28.639
<v Speaker 1>you wanted a stable, static environment, you'd never be an

0:22:29.200 --> 0:22:32.800
<v Speaker 1>an entrepreneur. So I think other folks will step in

0:22:32.800 --> 0:22:35.520
<v Speaker 1>to fill the wood, and I'm very optimistic in the

0:22:35.560 --> 0:22:38.840
<v Speaker 1>opportunistic future of both the world in general and also

0:22:38.880 --> 0:22:42.560
<v Speaker 1>Silicon Valley specifically. What are your overall thoughts of this

0:22:42.720 --> 0:22:45.639
<v Speaker 1>collapse as it's been playing out. I just think it's fast.

0:22:46.680 --> 0:22:50.200
<v Speaker 1>You know, I'm not I'm running a six thousand person,

0:22:50.440 --> 0:22:53.920
<v Speaker 1>you know, five hundred million dollars plus a quarter enterprise

0:22:53.920 --> 0:22:56.119
<v Speaker 1>software company. So the last thing I'm worried about is

0:22:57.080 --> 0:22:59.879
<v Speaker 1>financial stability of the banking system. So you hear stories

0:22:59.880 --> 0:23:01.960
<v Speaker 1>about it on Wednesday and on Thursday, all of your

0:23:02.000 --> 0:23:04.080
<v Speaker 1>friends are talking about what they're going to do with

0:23:04.119 --> 0:23:06.240
<v Speaker 1>their company finances and the treasury and are they moving

0:23:06.240 --> 0:23:09.800
<v Speaker 1>money around? So it happened incredibly fast, and it's a

0:23:09.840 --> 0:23:12.040
<v Speaker 1>little unsettling for I think every company. Do you think

0:23:12.080 --> 0:23:15.080
<v Speaker 1>about your early days of a startup and what that

0:23:15.119 --> 0:23:18.359
<v Speaker 1>means for other startups when you think about potential customers,

0:23:18.359 --> 0:23:22.080
<v Speaker 1>you may have partners, how you're gonna We still use

0:23:22.280 --> 0:23:25.840
<v Speaker 1>still Silicon Valley in parts of our business, relatively small

0:23:25.880 --> 0:23:28.479
<v Speaker 1>parts now for us, Like I said, we're lucky enough

0:23:28.480 --> 0:23:30.240
<v Speaker 1>to be able to diversify away and use our other

0:23:30.240 --> 0:23:32.960
<v Speaker 1>banking partners. So it takes work by the team, but

0:23:33.200 --> 0:23:35.199
<v Speaker 1>we're able to power through it. Why did you decide

0:23:35.200 --> 0:23:38.919
<v Speaker 1>to still have certain parts work with SPB It's just

0:23:39.400 --> 0:23:41.600
<v Speaker 1>part of it's just a history of having that relationship.

0:23:42.440 --> 0:23:45.359
<v Speaker 1>You integrate things, you wire up payment sites, and you

0:23:46.040 --> 0:23:49.400
<v Speaker 1>have payroll relationships, and it just keeps going and going

0:23:49.400 --> 0:23:52.040
<v Speaker 1>and going. I guess what gives you confidence? Are there

0:23:52.040 --> 0:23:54.840
<v Speaker 1>particular segments, like what exposure is it to there that

0:23:54.920 --> 0:23:57.440
<v Speaker 1>you think it's a bit more shielded and wouldn't be

0:23:57.880 --> 0:23:59.800
<v Speaker 1>happening like these other people that had to go through

0:23:59.840 --> 0:24:02.879
<v Speaker 1>these kind of deposit type nightmares. Well, I think it

0:24:02.920 --> 0:24:06.440
<v Speaker 1>depends on the company, and I think to draw two

0:24:06.440 --> 0:24:09.600
<v Speaker 1>broad categories. There's one companies that are single threaded with

0:24:09.640 --> 0:24:12.160
<v Speaker 1>one banking partner right, and there's companies that are big

0:24:12.280 --> 0:24:14.600
<v Speaker 1>enough and diverse enough to have mini banking partners. And

0:24:14.640 --> 0:24:16.800
<v Speaker 1>so I think it's really this is really an impact

0:24:16.800 --> 0:24:19.840
<v Speaker 1>for the first category, which is small companies really just

0:24:19.880 --> 0:24:24.040
<v Speaker 1>trying to find product market fit and aren't diversified in

0:24:24.119 --> 0:24:26.440
<v Speaker 1>what they So I want to talk all right, So

0:24:26.640 --> 0:24:28.960
<v Speaker 1>you put reported earnings before all of this started to happen,

0:24:29.359 --> 0:24:32.399
<v Speaker 1>So investors liked what they heard, they set the stock soaring.

0:24:32.800 --> 0:24:34.320
<v Speaker 1>Tell us a little bit about what you're seeing in

0:24:34.400 --> 0:24:36.520
<v Speaker 1>terms of the business environment. You know, you have customers

0:24:36.520 --> 0:24:38.960
<v Speaker 1>that we all know, we know the names. What does

0:24:38.960 --> 0:24:43.080
<v Speaker 1>it feel like right now out there? It's what we

0:24:43.160 --> 0:24:46.680
<v Speaker 1>do is very important for a lot of different areas

0:24:46.720 --> 0:24:48.800
<v Speaker 1>of a company and initiatives that a company that a

0:24:48.800 --> 0:24:51.800
<v Speaker 1>company is working on. And we're lucky enough to be

0:24:51.960 --> 0:24:55.800
<v Speaker 1>not only mission critical for our customers, but also mission

0:24:55.800 --> 0:24:58.919
<v Speaker 1>critical in any economic environment. So simple example is if

0:24:59.000 --> 0:25:02.520
<v Speaker 1>you're part of our portfolio workforce. Identity helps companies adopt

0:25:02.600 --> 0:25:07.320
<v Speaker 1>new technology and make their workforce more efficient and give

0:25:07.359 --> 0:25:10.960
<v Speaker 1>them the best tools and give them flexible, be flexible

0:25:11.000 --> 0:25:13.920
<v Speaker 1>with different working environments. So in an economic time of

0:25:14.000 --> 0:25:17.080
<v Speaker 1>uncertainty or macro conditions are not clear what's happening with

0:25:17.080 --> 0:25:19.840
<v Speaker 1>the banking system, you want flexibility and you want efficiency

0:25:19.880 --> 0:25:22.000
<v Speaker 1>and you can do that with a good identity system.

0:25:22.280 --> 0:25:24.600
<v Speaker 1>You can do that with access to the best technologies.

0:25:24.680 --> 0:25:27.240
<v Speaker 1>Is which what identity does, and that's just part of

0:25:27.240 --> 0:25:29.719
<v Speaker 1>our business. Another big part of our business is customer identity,

0:25:29.800 --> 0:25:33.480
<v Speaker 1>so helping We're lucky enough to work with open Ai

0:25:33.560 --> 0:25:35.520
<v Speaker 1>to be the identity to be the log in for

0:25:35.640 --> 0:25:39.600
<v Speaker 1>chat GBT. So no matter what's happening, no matter what

0:25:39.640 --> 0:25:42.359
<v Speaker 1>there are in terms of economic concerns, the march of

0:25:42.400 --> 0:25:45.439
<v Speaker 1>technology goes on and there's innovation. There's amazing breakthroughs like

0:25:45.520 --> 0:25:49.119
<v Speaker 1>chat GBT, and so that's driving part of our business

0:25:49.160 --> 0:25:52.840
<v Speaker 1>and that specific example. So we're broadly diversified across different

0:25:52.840 --> 0:25:55.159
<v Speaker 1>types of businesses. Is that half and half that's split.

0:25:55.400 --> 0:25:58.320
<v Speaker 1>It's the split in our two businesses between workforce identity

0:25:58.359 --> 0:26:01.760
<v Speaker 1>and customer identity. Right now is sixty to sixty percent

0:26:01.760 --> 0:26:04.480
<v Speaker 1>of the revenue is from workforce. But we think over

0:26:04.560 --> 0:26:07.639
<v Speaker 1>time we're building this broad company that can address all

0:26:07.640 --> 0:26:09.639
<v Speaker 1>of these identity use cases. We want to move that

0:26:09.720 --> 0:26:12.720
<v Speaker 1>toward fifty fifty and have both of them be growing quickly.

0:26:12.760 --> 0:26:14.119
<v Speaker 1>I have to say in general, I mean I just

0:26:14.200 --> 0:26:15.879
<v Speaker 1>think about what it takes every day to get into

0:26:16.000 --> 0:26:18.680
<v Speaker 1>our systems and just increasingly I'm okay with it. I

0:26:18.720 --> 0:26:20.920
<v Speaker 1>don't care how many layers, whether it's in getting into

0:26:20.960 --> 0:26:23.160
<v Speaker 1>my own bank on my phone, like bring it on.

0:26:23.960 --> 0:26:25.800
<v Speaker 1>So I do feel like you're in kind of this

0:26:25.840 --> 0:26:28.960
<v Speaker 1>sweet spot. In terms of a business, you mentioned chat GPT.

0:26:29.520 --> 0:26:32.879
<v Speaker 1>What has changed in the dynamics of that side of

0:26:32.880 --> 0:26:36.720
<v Speaker 1>the business since that Microsoft ten billion dollar investment in

0:26:36.880 --> 0:26:40.880
<v Speaker 1>open Ai. Well, the for our business customer identity, it's,

0:26:40.880 --> 0:26:43.240
<v Speaker 1>like I mentioned, it's forty percent of our revenue. And

0:26:43.440 --> 0:26:46.160
<v Speaker 1>the key thing to remember about this business is it's

0:26:46.640 --> 0:26:49.639
<v Speaker 1>it's kind of a new market workforce identity. There's been

0:26:49.680 --> 0:26:53.880
<v Speaker 1>traditional players you've you've purchased your identity technology from maybe

0:26:54.080 --> 0:26:56.080
<v Speaker 1>in the past, from an IBM or an Oracle or

0:26:56.800 --> 0:27:00.000
<v Speaker 1>companies like that, and so we are the cloud version

0:27:00.119 --> 0:27:03.520
<v Speaker 1>or the modern architecture, the flexible, modern architecture for that.

0:27:03.560 --> 0:27:06.040
<v Speaker 1>On the customer identity side, it's more of a new market.

0:27:06.080 --> 0:27:09.679
<v Speaker 1>It's this world where developers are innovating, they're building all

0:27:09.760 --> 0:27:12.359
<v Speaker 1>these new solutions. Chat GPT is one example, but this

0:27:12.440 --> 0:27:15.680
<v Speaker 1>is happening in every industry, the media industry, the financial

0:27:15.680 --> 0:27:20.800
<v Speaker 1>services industry, the every industry technology of course, manufacturing. They're

0:27:20.800 --> 0:27:23.240
<v Speaker 1>trying to retail. They're trying to get more closer to

0:27:23.280 --> 0:27:25.520
<v Speaker 1>the customer, and to do that they have to build

0:27:25.520 --> 0:27:28.879
<v Speaker 1>websites and build mobile apps and deliver a better customer experience,

0:27:29.280 --> 0:27:32.280
<v Speaker 1>and inevitably they have to provide a log into a user,

0:27:32.280 --> 0:27:34.000
<v Speaker 1>and they have to make sure that they make it

0:27:34.040 --> 0:27:35.760
<v Speaker 1>easy for the user to log in and then make

0:27:35.840 --> 0:27:39.480
<v Speaker 1>it easy for the customer to map that customer, to

0:27:39.800 --> 0:27:42.440
<v Speaker 1>map that user different backend systems and market to them

0:27:42.480 --> 0:27:47.480
<v Speaker 1>and progress that relationship and track data an additional way

0:27:47.720 --> 0:27:50.840
<v Speaker 1>for track data for sure. For for depending on what

0:27:50.840 --> 0:27:53.440
<v Speaker 1>the business is, you know, it varies, but they want

0:27:53.440 --> 0:27:55.400
<v Speaker 1>to have a great customer relationship and that's a really

0:27:55.400 --> 0:27:59.200
<v Speaker 1>an identity problem. And so that's done by a developer,

0:27:59.240 --> 0:28:01.879
<v Speaker 1>and our business in the merging customer at any segment

0:28:02.000 --> 0:28:04.360
<v Speaker 1>is really good for developers. It's super easy to use.

0:28:04.720 --> 0:28:07.240
<v Speaker 1>The open example is a good one because two years

0:28:07.280 --> 0:28:09.959
<v Speaker 1>ago when they started using our products, the reason they

0:28:09.960 --> 0:28:12.360
<v Speaker 1>did is because it's really easy for that developer to use.

0:28:12.680 --> 0:28:14.479
<v Speaker 1>They didn't know it was going to become chat GBT.

0:28:14.960 --> 0:28:17.320
<v Speaker 1>But by having a great developer experience and getting in

0:28:17.320 --> 0:28:20.320
<v Speaker 1>there early, you can provide value in the early days

0:28:20.440 --> 0:28:22.440
<v Speaker 1>and then as it grows in scales. All right, got

0:28:22.440 --> 0:28:25.960
<v Speaker 1>to ask you glass half full, glass half empty? Right now,

0:28:26.000 --> 0:28:29.359
<v Speaker 1>real quickly in terms of the outlook, I am a

0:28:29.520 --> 0:28:32.240
<v Speaker 1>glass half full guy? Is it just because you are?

0:28:32.280 --> 0:28:34.359
<v Speaker 1>Because you feel confident about the data points that are

0:28:34.400 --> 0:28:38.720
<v Speaker 1>coming down and the news? I think there's a lot.

0:28:38.760 --> 0:28:41.000
<v Speaker 1>I mean, I think in times of turbulence and times

0:28:41.000 --> 0:28:45.120
<v Speaker 1>of change, the companies that can provide stability to the employees,

0:28:45.200 --> 0:28:49.400
<v Speaker 1>to their customers, and provide a path through things to

0:28:49.520 --> 0:28:51.600
<v Speaker 1>a better a better tomorrow are the ones that are

0:28:51.600 --> 0:28:53.320
<v Speaker 1>going to thrive. So that's what we stay focused on.

0:28:53.480 --> 0:28:56.480
<v Speaker 1>That was Octa CEO Todd McKinnon with Bloomberg News, Deputy

0:28:56.480 --> 0:28:59.520
<v Speaker 1>team leader for Usequities Jessment and me up. Next we

0:28:59.520 --> 0:29:01.800
<v Speaker 1>look at the said banking stress from a different angle.

0:29:02.000 --> 0:29:05.520
<v Speaker 1>It's potential to further wide in America's wealth gap, specifically

0:29:05.680 --> 0:29:09.480
<v Speaker 1>entrepreneurs from underserved groups. I think certainly many have been

0:29:09.560 --> 0:29:14.000
<v Speaker 1>left out of the venture capital model as it currently stands.

0:29:14.840 --> 0:29:17.320
<v Speaker 1>The whole notion that you have that you start with

0:29:17.360 --> 0:29:21.120
<v Speaker 1>a friends and family round assumes that you have friends

0:29:21.120 --> 0:29:24.880
<v Speaker 1>and family who can write sizable checks. That is not

0:29:25.240 --> 0:29:30.400
<v Speaker 1>very equitably distributed across the society. There's a phase of

0:29:30.560 --> 0:29:35.840
<v Speaker 1>startups that's known as raman profitable assuming that you know

0:29:36.000 --> 0:29:40.200
<v Speaker 1>that you can eke by eating ramen every day. That

0:29:40.320 --> 0:29:43.920
<v Speaker 1>also assumes that you're not supporting other family members. The

0:29:43.920 --> 0:29:47.200
<v Speaker 1>founding partners of Kapoor Capital breakdown their model for investing

0:29:47.480 --> 0:29:50.560
<v Speaker 1>in what they call industry transforming startups. Well speak with

0:29:50.600 --> 0:29:52.640
<v Speaker 1>a husband and wife team of Mitch Kapor and Free

0:29:52.680 --> 0:29:55.200
<v Speaker 1>to Kapor Klein on their work to close that gap.

0:29:55.400 --> 0:30:01.120
<v Speaker 1>You're listening to Bloomberg business Week. This is Bloomberg. You're

0:30:01.160 --> 0:30:04.760
<v Speaker 1>listening to the Bloomberg Business Week podcast. Catch us live

0:30:04.840 --> 0:30:08.480
<v Speaker 1>weekday afternoons from three to six Eastern Listen on Bloomberg

0:30:08.520 --> 0:30:11.920
<v Speaker 1>dot com, the Ion Radio app, and the Bloomberg Business app,

0:30:12.200 --> 0:30:15.720
<v Speaker 1>or watch us live on YouTube. So important to the

0:30:15.720 --> 0:30:19.560
<v Speaker 1>banking contagion and nervousness that we've been talking about over

0:30:19.600 --> 0:30:21.760
<v Speaker 1>the past week and a half is assessing the impact

0:30:21.840 --> 0:30:23.760
<v Speaker 1>on the startup in venture world. Some have said the

0:30:23.760 --> 0:30:26.239
<v Speaker 1>startup world, they're going to be just fine. Others are

0:30:26.240 --> 0:30:30.080
<v Speaker 1>concerned about the underserved communities getting forgotten again, like women

0:30:30.080 --> 0:30:33.480
<v Speaker 1>and those of color who are trying to find funding

0:30:33.640 --> 0:30:36.960
<v Speaker 1>for their entrepreneurial ventures. For over a decade, Kapoor Capital

0:30:37.000 --> 0:30:40.120
<v Speaker 1>has been investing in what they call industry transforming startups

0:30:40.120 --> 0:30:42.640
<v Speaker 1>and those that close the gap and provide market and

0:30:42.720 --> 0:30:45.640
<v Speaker 1>social equity growth. So let's dig into that. Our guests

0:30:45.720 --> 0:30:49.040
<v Speaker 1>venture capitalists and authors Mitch Kapor and Freedo Kaport Client.

0:30:49.400 --> 0:30:52.080
<v Speaker 1>They are the founding partners at Kapor Capital. They've got

0:30:52.080 --> 0:30:54.600
<v Speaker 1>a new book out. It's called Closing the Equity Gap,

0:30:54.960 --> 0:30:57.800
<v Speaker 1>Creating Wealth and Fostering Justice and Startup Investing, and they

0:30:57.800 --> 0:31:01.200
<v Speaker 1>are with us via zoom from the San Francisco Bay Area.

0:31:01.680 --> 0:31:04.440
<v Speaker 1>Mitchen Freedom, I want to start big and broadly before

0:31:04.440 --> 0:31:07.240
<v Speaker 1>we get into your book, The Banking Stress. I do

0:31:07.480 --> 0:31:11.520
<v Speaker 1>wonder how that may go further in widening the wealth

0:31:11.560 --> 0:31:15.200
<v Speaker 1>gap as big banks get bigger, attract more deposits amid

0:31:15.240 --> 0:31:18.560
<v Speaker 1>worries over smaller regional banks. How do you see that?

0:31:19.160 --> 0:31:22.960
<v Speaker 1>It could go either way. It depends on whether or

0:31:22.960 --> 0:31:27.000
<v Speaker 1>not the VC community, the venture capital community is willing

0:31:27.360 --> 0:31:31.040
<v Speaker 1>to take a look at itself and to look at, gee,

0:31:31.080 --> 0:31:34.240
<v Speaker 1>what did we do wrong? What have we overlooked? Where

0:31:34.240 --> 0:31:37.840
<v Speaker 1>have we misstepped? And can we do better? Do you

0:31:37.880 --> 0:31:42.160
<v Speaker 1>think they even think they did anything wrong? There's certainly

0:31:42.160 --> 0:31:45.480
<v Speaker 1>been a lot of finger pointing on social media every direction,

0:31:46.000 --> 0:31:50.400
<v Speaker 1>sometimes from vcs to each other, and sometimes to the

0:31:50.440 --> 0:31:54.560
<v Speaker 1>banking system. We've seen a lot of people who were

0:31:55.000 --> 0:32:01.040
<v Speaker 1>anti intervention, anti government regulation, screaming for or a bailout

0:32:01.200 --> 0:32:04.360
<v Speaker 1>or a handout or help. So I think there's a

0:32:04.400 --> 0:32:09.360
<v Speaker 1>lot that's influx right now. One are those things that's influx.

0:32:09.560 --> 0:32:12.960
<v Speaker 1>I mean, how exactly do you think startup compensation should

0:32:13.000 --> 0:32:17.120
<v Speaker 1>be rethought to attract more diverse entrepreneurs when you have

0:32:17.160 --> 0:32:20.120
<v Speaker 1>a situation like this that obviously is getting a lot

0:32:20.160 --> 0:32:23.680
<v Speaker 1>of attention in the headlines. Well, I think there are

0:32:23.720 --> 0:32:28.600
<v Speaker 1>different ways to address startup compensation. I think certainly many

0:32:28.680 --> 0:32:32.160
<v Speaker 1>have been left out of the venture capital model as

0:32:32.200 --> 0:32:36.040
<v Speaker 1>it currently stands. The whole notion that you have that

0:32:36.160 --> 0:32:39.920
<v Speaker 1>you start with a friends and family round assumes that

0:32:39.960 --> 0:32:42.959
<v Speaker 1>you have friends and family who can write sizable checks.

0:32:43.840 --> 0:32:49.240
<v Speaker 1>That is not very equitably distributed across the society. There's

0:32:49.280 --> 0:32:54.040
<v Speaker 1>a phase of startups that's known as ramen profitable, assuming

0:32:54.080 --> 0:32:58.160
<v Speaker 1>that you know that you can eke by eating raman

0:32:58.280 --> 0:33:01.720
<v Speaker 1>every day. That also assumes that you're not supporting other

0:33:01.800 --> 0:33:04.040
<v Speaker 1>family members. So I think there are a lot of

0:33:04.160 --> 0:33:07.400
<v Speaker 1>aspects of what has just been assumed to be the

0:33:07.440 --> 0:33:10.920
<v Speaker 1>startup culture and startup compensation. I think there's a lot

0:33:11.040 --> 0:33:14.560
<v Speaker 1>that can be We thought, what are we missing out?

0:33:14.640 --> 0:33:16.880
<v Speaker 1>And I put that question to you when we ignore

0:33:17.040 --> 0:33:21.880
<v Speaker 1>certain parts of the entrepreneurial world. Well, there's an enormous

0:33:21.960 --> 0:33:27.120
<v Speaker 1>amount of underestimated and overlooked how an entrepreneurial talent given

0:33:27.160 --> 0:33:30.920
<v Speaker 1>the way venture capital works in general today, because VC

0:33:32.160 --> 0:33:37.000
<v Speaker 1>really places way too much of a premium on pedigree,

0:33:37.040 --> 0:33:40.040
<v Speaker 1>does your resume look right? Not that that's irrelevant, but

0:33:40.200 --> 0:33:44.120
<v Speaker 1>we think much much more relevant is what we call

0:33:44.280 --> 0:33:48.560
<v Speaker 1>distance travel. We like to look at where persons started

0:33:48.640 --> 0:33:52.360
<v Speaker 1>in life and how far through their own efforts they

0:33:52.360 --> 0:33:56.480
<v Speaker 1>have overcome barriers and hurdles to get to where they've got.

0:33:57.040 --> 0:34:00.560
<v Speaker 1>That to us is a much better indicator of things

0:34:00.560 --> 0:34:04.640
<v Speaker 1>like resilience and persistence, issues of character, things that help

0:34:04.760 --> 0:34:07.320
<v Speaker 1>tend to make a founder successful. So we look at

0:34:07.320 --> 0:34:10.040
<v Speaker 1>distance travel. We don't particularly care did you go to

0:34:10.080 --> 0:34:12.839
<v Speaker 1>an either league school or not. If funding decisions were

0:34:12.880 --> 0:34:15.640
<v Speaker 1>made based more on distance traveled, I think we would

0:34:15.640 --> 0:34:18.839
<v Speaker 1>see a much wider and more diverse set of entrepreneurs

0:34:18.880 --> 0:34:22.320
<v Speaker 1>getting venture capital funding. Kapoor Capital Founding Partners Mitch Kapor

0:34:22.400 --> 0:34:25.080
<v Speaker 1>and Freed Kaport Klimb with me and Jess Metten. Find

0:34:25.120 --> 0:34:27.920
<v Speaker 1>that whole interview on our Bloomberg Business Week podcast feed,

0:34:28.280 --> 0:34:30.400
<v Speaker 1>and you can check out the couple's new book, Closing

0:34:30.400 --> 0:34:33.640
<v Speaker 1>the Equity Gap, Creating Wealth and Fostering Justice and Startup

0:34:33.680 --> 0:34:36.279
<v Speaker 1>Investing and that reps up our first hour of the

0:34:36.280 --> 0:34:39.440
<v Speaker 1>weekend edition of Bloomberg Business Week from Bloomberg Radio. Ahead.

0:34:39.440 --> 0:34:42.640
<v Speaker 1>In our next hour, find out what happens when sexting

0:34:42.760 --> 0:34:46.520
<v Speaker 1>chatbots dump their human lovers as a startup AI firm

0:34:46.760 --> 0:34:50.440
<v Speaker 1>cracks down. This is Bloomberg Business Week. I'm Carol Masser.

0:34:50.760 --> 0:34:53.560
<v Speaker 1>Stay with us. Today's top stories and global business headlines

0:34:53.600 --> 0:34:59.920
<v Speaker 1>are coming up. Right now, you're listening to the Bloomberg

0:35:00.120 --> 0:35:04.000
<v Speaker 1>Business Week Podcast. Catch us live weekday afternoons from three

0:35:04.000 --> 0:35:07.600
<v Speaker 1>to six Eastern on Bloomberg Radio, the Bloomberg Business app,

0:35:07.680 --> 0:35:11.160
<v Speaker 1>and YouTube. You can also listen live on Amazon Alexa

0:35:11.239 --> 0:35:14.640
<v Speaker 1>from our flagship New York station Just Say Alexa playing

0:35:14.719 --> 0:35:18.880
<v Speaker 1>Bloomberg eleven thirty plenty ahead. In our second hour of

0:35:18.920 --> 0:35:22.360
<v Speaker 1>the weekend edition of Bloomberg Business Week, Bernie Madoff Tharnos

0:35:22.520 --> 0:35:26.319
<v Speaker 1>possibly FTX, we introduce you to the purpse, prey and

0:35:26.400 --> 0:35:30.120
<v Speaker 1>whistle blowers of the trillion dollar fraud industry. Plus insight

0:35:30.200 --> 0:35:33.120
<v Speaker 1>into what consumers are spending money on with the CEO

0:35:33.160 --> 0:35:37.320
<v Speaker 1>of Academy Sports and Outdoors and the sexting chatbots dumping

0:35:37.440 --> 0:35:40.960
<v Speaker 1>their human lovers. Will tell you about one startups response

0:35:41.000 --> 0:35:45.200
<v Speaker 1>when it's good AI intentions when arrived first up this hour.

0:35:45.400 --> 0:35:48.239
<v Speaker 1>Financial fraud and massive accounting mistakes are nothing new. You

0:35:48.320 --> 0:35:51.399
<v Speaker 1>know that you might be inclined to attribute most such

0:35:51.440 --> 0:35:54.719
<v Speaker 1>cases to greed, incompetence, or both, while our next guest

0:35:54.719 --> 0:35:57.520
<v Speaker 1>says there's a lot more to it. Kelly Richmond Pope

0:35:57.560 --> 0:35:59.600
<v Speaker 1>is a professor in the School of Accountancy to Paul

0:35:59.680 --> 0:36:03.239
<v Speaker 1>University and a forensic accounting expert. Her new book is

0:36:03.280 --> 0:36:06.239
<v Speaker 1>called Full Me Once, Scam Stories and Secrets from the

0:36:06.280 --> 0:36:09.359
<v Speaker 1>Trillion Dollar Fraud Industry. Just Betton and I began by

0:36:09.360 --> 0:36:12.200
<v Speaker 1>asking the professor why she was drawn to her line

0:36:12.200 --> 0:36:14.800
<v Speaker 1>of work. As early as I can remember, in high school,

0:36:14.800 --> 0:36:18.320
<v Speaker 1>I was fascinated by why people still And there was

0:36:18.360 --> 0:36:21.879
<v Speaker 1>a neighbor of mine that was a bank executive that

0:36:22.000 --> 0:36:25.200
<v Speaker 1>went to federal prison, and I thought, why would someone

0:36:25.320 --> 0:36:27.719
<v Speaker 1>risk it all to do this? So my interest in

0:36:27.760 --> 0:36:30.680
<v Speaker 1>It really started at a very very early age. And

0:36:30.840 --> 0:36:33.480
<v Speaker 1>I went on to graduate school and when I was

0:36:33.520 --> 0:36:37.560
<v Speaker 1>working on my PhD, my research area was around ethics,

0:36:37.600 --> 0:36:40.160
<v Speaker 1>but I was interested in fraud because I believe that

0:36:40.160 --> 0:36:42.799
<v Speaker 1>that's the absence of ethics. So I say all that

0:36:42.840 --> 0:36:45.520
<v Speaker 1>to say, I'm probably just a little bit nosy, and

0:36:45.800 --> 0:36:49.239
<v Speaker 1>I just turned it all into something. It's like journalists,

0:36:49.320 --> 0:36:51.560
<v Speaker 1>I get it, so to get it so okay, So fraud,

0:36:51.760 --> 0:36:54.359
<v Speaker 1>I mean, I think about the year that was. We've

0:36:54.400 --> 0:36:57.240
<v Speaker 1>talked a lot about the thorough nos fraud, the alleged

0:36:57.239 --> 0:36:59.799
<v Speaker 1>fraud at FTX by Sam Bankman Freed. We're looking at

0:36:59.800 --> 0:37:04.000
<v Speaker 1>three bank failures where accountants and sometimes risk officers are

0:37:04.040 --> 0:37:06.720
<v Speaker 1>supposed to be watching things. I'm not saying there was fraud,

0:37:07.200 --> 0:37:13.840
<v Speaker 1>but nonetheless fraud happens over and over again. Why Well,

0:37:13.920 --> 0:37:17.240
<v Speaker 1>behind every good fraud is a person. And I think

0:37:17.400 --> 0:37:22.320
<v Speaker 1>people are the worst computers, so we filled with errors,

0:37:22.680 --> 0:37:26.960
<v Speaker 1>and so I think that we find ourselves sometimes in

0:37:27.080 --> 0:37:31.399
<v Speaker 1>difficult situations. And one of the arguments that I was

0:37:31.760 --> 0:37:34.520
<v Speaker 1>wanting to make in the book is that everyone doesn't

0:37:34.520 --> 0:37:38.080
<v Speaker 1>steal because of greed. And I really want to be

0:37:38.120 --> 0:37:41.480
<v Speaker 1>specific about saying that there are different types of perpetrators.

0:37:41.680 --> 0:37:44.399
<v Speaker 1>There's different types of prey, and there are different types

0:37:44.400 --> 0:37:46.920
<v Speaker 1>of whistleblowers, and so a lot of times we think

0:37:47.040 --> 0:37:50.439
<v Speaker 1>that people just are greedy and they just take take take,

0:37:50.440 --> 0:37:53.360
<v Speaker 1>and that's something that I call an intentional perpetrator. But

0:37:53.440 --> 0:37:56.799
<v Speaker 1>there's this other category, these two other categories, and they

0:37:56.840 --> 0:38:01.040
<v Speaker 1>are accidental perpetrators and righteous perpetrator. And they don't always

0:38:01.040 --> 0:38:05.280
<v Speaker 1>engage in fraud because they just want because they're greedy.

0:38:05.440 --> 0:38:09.480
<v Speaker 1>Sometimes they just are following the boss's orders and they

0:38:09.520 --> 0:38:12.000
<v Speaker 1>make a transaction or turn a blind eye to something

0:38:12.040 --> 0:38:13.719
<v Speaker 1>that they know is wrong and they're trying to help

0:38:13.719 --> 0:38:17.480
<v Speaker 1>the team. That's the accidental perpetrator. The righteous perpetrator, on

0:38:17.560 --> 0:38:19.800
<v Speaker 1>the other hand, may just want to help a friend

0:38:19.880 --> 0:38:22.680
<v Speaker 1>and has the power and the privilege in an organization

0:38:22.760 --> 0:38:25.000
<v Speaker 1>to do that. So the argument that I make and

0:38:25.120 --> 0:38:28.200
<v Speaker 1>is everyone is not your Bernard made offs and even

0:38:28.480 --> 0:38:32.080
<v Speaker 1>homes Elizabeth Holmes, I would put her and my righteous

0:38:32.120 --> 0:38:35.879
<v Speaker 1>perpetrator category. Yeah, she's a perpetrator, but the reason how

0:38:35.920 --> 0:38:39.080
<v Speaker 1>she started was really because she wanted to do good

0:38:39.120 --> 0:38:41.600
<v Speaker 1>for the world. And so I want people to understand

0:38:41.640 --> 0:38:44.560
<v Speaker 1>that there's different categories and we need to think about

0:38:44.840 --> 0:38:49.000
<v Speaker 1>everyone doesn't still because of greed, we sometimes create environments

0:38:49.760 --> 0:38:53.680
<v Speaker 1>where people find themselves in very difficult situations and that

0:38:53.719 --> 0:38:55.960
<v Speaker 1>can lead to fraud too. And Kelly, when you were

0:38:55.960 --> 0:38:58.600
<v Speaker 1>talking about these righteous purps and you were talking about

0:38:58.760 --> 0:39:01.799
<v Speaker 1>thorough nos specific, but you also wrote about how there's

0:39:01.840 --> 0:39:03.719
<v Speaker 1>this robin Hood effect. So I'm trying to kind of

0:39:03.719 --> 0:39:07.200
<v Speaker 1>wrap my mind around that, how she was helping others,

0:39:07.200 --> 0:39:09.280
<v Speaker 1>and so can you break down how do people cheat

0:39:09.360 --> 0:39:12.960
<v Speaker 1>and then start to actually rationalize that because it is

0:39:13.000 --> 0:39:16.279
<v Speaker 1>hard to think about how that works, especially if you

0:39:16.280 --> 0:39:19.200
<v Speaker 1>talk to theodose investors, they're going to write they might

0:39:19.239 --> 0:39:22.520
<v Speaker 1>not be sway hold on. Okay. So one of the

0:39:22.600 --> 0:39:25.040
<v Speaker 1>stories in the book is about a woman that I

0:39:25.080 --> 0:39:28.000
<v Speaker 1>met doing the research. Her name is Kayla Ravello, and

0:39:28.080 --> 0:39:31.759
<v Speaker 1>she was a very successful partner in the own Wall

0:39:31.760 --> 0:39:36.919
<v Speaker 1>Street Wall Street, big big law firms there, and what

0:39:37.000 --> 0:39:39.600
<v Speaker 1>she wanted to do, or what she ended up doing,

0:39:39.800 --> 0:39:43.480
<v Speaker 1>was awarding her husband or her ex husband, a contract

0:39:43.680 --> 0:39:47.200
<v Speaker 1>to really help him help promote a business that he

0:39:47.239 --> 0:39:50.000
<v Speaker 1>needed to start. He couldn't find a job, so she

0:39:50.200 --> 0:39:52.879
<v Speaker 1>was an equity partner in the law firm. She was

0:39:52.960 --> 0:39:56.480
<v Speaker 1>a well compensated person. She didn't need the money. She

0:39:56.640 --> 0:39:59.080
<v Speaker 1>was trying to help her husband. So really, what I'm

0:39:59.120 --> 0:40:03.360
<v Speaker 1>talking about is the initial rationalization as to how someone

0:40:03.440 --> 0:40:07.200
<v Speaker 1>commits fraud. Think about Elizabeth Holmes at the very beginning.

0:40:07.239 --> 0:40:09.480
<v Speaker 1>Now she evolved into something a little bit more, but

0:40:09.520 --> 0:40:14.000
<v Speaker 1>at the very beginning, her intentions were really to people

0:40:14.120 --> 0:40:16.720
<v Speaker 1>hate getting their blood drawn. What if I could create

0:40:16.760 --> 0:40:19.560
<v Speaker 1>something that just allows for just a drop of blood

0:40:19.560 --> 0:40:21.839
<v Speaker 1>to run all the tests that you possibly could use

0:40:21.960 --> 0:40:24.520
<v Speaker 1>or we possibly need, that's would be a really great

0:40:24.520 --> 0:40:28.840
<v Speaker 1>thing if it worked, correct or we in agreement there, right, totally? Okay,

0:40:28.880 --> 0:40:33.560
<v Speaker 1>So we're talking about the initial intentions and so thinking

0:40:33.600 --> 0:40:37.640
<v Speaker 1>about specifically Kayla and other people that I've interviewed over

0:40:37.680 --> 0:40:41.239
<v Speaker 1>the years. Everyone is not doing this for their own

0:40:41.400 --> 0:40:44.720
<v Speaker 1>personal gain. Some people are doing this to help others.

0:40:45.239 --> 0:40:49.439
<v Speaker 1>That first fraud story that I was thinking about when

0:40:49.440 --> 0:40:51.600
<v Speaker 1>we first started talking, that neighbor that I was telling

0:40:51.600 --> 0:40:54.560
<v Speaker 1>you about, when you read the case documents about what

0:40:54.640 --> 0:40:58.200
<v Speaker 1>his fraud was about, his rationalization was I wanted to

0:40:58.200 --> 0:41:01.440
<v Speaker 1>help a friend who's strugg who's business was struggling. He

0:41:01.520 --> 0:41:03.560
<v Speaker 1>had a great job, he didn't need to do this,

0:41:03.600 --> 0:41:06.840
<v Speaker 1>He didn't receive any personal gain. He was just trying

0:41:06.840 --> 0:41:09.360
<v Speaker 1>to help a friend, and there's there's with their startup.

0:41:09.640 --> 0:41:12.440
<v Speaker 1>So that's the part that I'm talking about. Some people

0:41:12.920 --> 0:41:17.439
<v Speaker 1>just are trying to help and they so are you saying, though, though,

0:41:17.640 --> 0:41:21.240
<v Speaker 1>then we should excuse I didn't say that. Okay, okay,

0:41:21.320 --> 0:41:23.319
<v Speaker 1>I didn't say we shouldn't excuse me. But what you'll

0:41:23.400 --> 0:41:27.880
<v Speaker 1>notice is variability in sentencing. So if you notice, everyone

0:41:28.640 --> 0:41:33.839
<v Speaker 1>that engages in fraud gets different types of sentences. Now

0:41:33.880 --> 0:41:35.920
<v Speaker 1>that depends on the judge, It depends on the jurisdiction.

0:41:36.280 --> 0:41:39.040
<v Speaker 1>But what I'm thinking is a lot of it depends

0:41:39.080 --> 0:41:43.359
<v Speaker 1>on their rationalization, their original intention, And so that that's

0:41:43.400 --> 0:41:45.920
<v Speaker 1>what I'm pushing people to think about. How do you

0:41:45.960 --> 0:41:50.400
<v Speaker 1>think about companies who may be aware of a flaw

0:41:50.400 --> 0:41:55.279
<v Speaker 1>and a product and believe because they're making so much

0:41:55.360 --> 0:41:59.800
<v Speaker 1>money over it, that better to deal with the litigation

0:42:00.120 --> 0:42:04.400
<v Speaker 1>later or the lawsuits later if something goes wrong because

0:42:04.560 --> 0:42:06.440
<v Speaker 1>they're going to make so much more money on the

0:42:06.440 --> 0:42:09.520
<v Speaker 1>front side or the initially that it doesn't really matter

0:42:09.520 --> 0:42:11.560
<v Speaker 1>what they pay out later. How do you think about

0:42:11.600 --> 0:42:14.640
<v Speaker 1>that kind of I don't know fraud is the right word.

0:42:14.760 --> 0:42:17.640
<v Speaker 1>So this is the interesting thing. You're what you're talking

0:42:17.640 --> 0:42:22.640
<v Speaker 1>about now is the prey category, the innocent bystanders that

0:42:22.680 --> 0:42:26.160
<v Speaker 1>are impacted by that corporate decision. So we know that

0:42:26.200 --> 0:42:30.759
<v Speaker 1>there's a little company's pharmaceutical companies exactly. I could go on, yeah, right,

0:42:31.040 --> 0:42:34.920
<v Speaker 1>And so what's scary about us as consumers is we

0:42:34.960 --> 0:42:38.399
<v Speaker 1>don't always know when those conversations are happening. And that's

0:42:38.440 --> 0:42:40.880
<v Speaker 1>why you need a whistleblower in the room, somebody that

0:42:40.920 --> 0:42:44.400
<v Speaker 1>will alert us when those kinds of decisions are being made.

0:42:44.680 --> 0:42:47.560
<v Speaker 1>So when you think about the fraud cycle, you need

0:42:47.640 --> 0:42:50.640
<v Speaker 1>everybody you need, Well, you don't really need perpetrators, but

0:42:50.719 --> 0:42:54.000
<v Speaker 1>do you definitely need You definitely need whistleblowers because there

0:42:54.000 --> 0:42:57.400
<v Speaker 1>will always be perpetrators in the mix, and there's always

0:42:57.440 --> 0:43:00.960
<v Speaker 1>going to be victims, and you need the voices of whistleblowers.

0:43:00.960 --> 0:43:04.319
<v Speaker 1>And even like I talk about there's different types of perpetrators,

0:43:04.320 --> 0:43:07.279
<v Speaker 1>there's also different types of whistleblowers. Three types that I

0:43:07.320 --> 0:43:11.960
<v Speaker 1>talk about, an accidental whistle blower, a noble whistle blower,

0:43:12.440 --> 0:43:16.239
<v Speaker 1>and a vigilante whistleblower. Now, vigilante whistle blower is the

0:43:16.280 --> 0:43:22.280
<v Speaker 1>category that I believe where snitch, rat, cross, tattletail, those

0:43:22.400 --> 0:43:26.920
<v Speaker 1>kinds of terms come from because vigilante whistle blowers they tell,

0:43:27.360 --> 0:43:29.439
<v Speaker 1>whether it has anything to do with them or not,

0:43:29.600 --> 0:43:34.560
<v Speaker 1>they are telling. And so they don't mind becoming a

0:43:34.600 --> 0:43:36.799
<v Speaker 1>whistle blower. I mean, they are ready for the fight.

0:43:36.840 --> 0:43:38.920
<v Speaker 1>They're almost like, bring it on, I'm ready for you.

0:43:39.200 --> 0:43:43.360
<v Speaker 1>The other two categories are people that don't necessarily identify

0:43:43.360 --> 0:43:46.319
<v Speaker 1>as being a whistle blower, and they're just doing their job.

0:43:46.600 --> 0:43:50.080
<v Speaker 1>They stumble upon something or they turn a blind die,

0:43:50.160 --> 0:43:52.400
<v Speaker 1>they step out, they don't try to blind I excuse me,

0:43:52.440 --> 0:43:54.480
<v Speaker 1>they don't try to blind die, and they step outside

0:43:54.560 --> 0:43:58.760
<v Speaker 1>of the group and tell. And so those accidental whistle

0:43:58.760 --> 0:44:01.960
<v Speaker 1>blowers and noble whistle floors tend to tend to have

0:44:02.719 --> 0:44:06.319
<v Speaker 1>a fair amount of backlash when they do what they do.

0:44:06.680 --> 0:44:09.160
<v Speaker 1>What I'm arguing is you need all of them in

0:44:09.200 --> 0:44:14.359
<v Speaker 1>an organization because when these companies are making decisions to say, well,

0:44:14.360 --> 0:44:16.520
<v Speaker 1>what's the cost of a life if we if we

0:44:16.640 --> 0:44:19.359
<v Speaker 1>change this safety protocol, it's going to cost us one

0:44:19.400 --> 0:44:22.960
<v Speaker 1>hundred million dollars, and the probability of something happening is

0:44:22.960 --> 0:44:25.120
<v Speaker 1>one percent. Let's roll the dice and see what happens.

0:44:25.400 --> 0:44:27.919
<v Speaker 1>You probably want to whistle blower in the room that's

0:44:27.920 --> 0:44:31.480
<v Speaker 1>gonna let us know that's happening. So it's fraud always

0:44:31.480 --> 0:44:36.880
<v Speaker 1>about money. I think all roads lead back to money.

0:44:37.800 --> 0:44:40.759
<v Speaker 1>So if I had to say yes or no, I'm

0:44:40.760 --> 0:44:44.720
<v Speaker 1>going to say yes, fraud is about money. Okay, ninety

0:44:44.800 --> 0:44:47.120
<v Speaker 1>nine point nine percent of the time? Is it always?

0:44:47.560 --> 0:44:49.120
<v Speaker 1>If we just look at the books of something in

0:44:49.160 --> 0:44:52.279
<v Speaker 1>the financials, we're going to find something wrong? Well? Yes,

0:44:52.440 --> 0:44:57.520
<v Speaker 1>And so one, you're understanding your basic financial statements, income statement,

0:44:57.560 --> 0:44:59.959
<v Speaker 1>balance sheet, statement, a retainer, and a statement to cashal

0:45:00.280 --> 0:45:03.680
<v Speaker 1>understanding how they work together is very important. But also

0:45:04.160 --> 0:45:06.840
<v Speaker 1>reading the notes to the financial statements, which many people

0:45:06.880 --> 0:45:10.320
<v Speaker 1>might think are the most boring aspects of the financial statements,

0:45:10.400 --> 0:45:14.360
<v Speaker 1>really tells you the story behind the numbers. So you

0:45:14.400 --> 0:45:16.759
<v Speaker 1>have to think about those numbers are just one like

0:45:17.080 --> 0:45:20.040
<v Speaker 1>the end of a set of behaviors. So if you

0:45:20.080 --> 0:45:22.720
<v Speaker 1>read the notes, it sort of helps put those numbers

0:45:22.719 --> 0:45:27.800
<v Speaker 1>in contexts. So understanding accounting I think helps you ask

0:45:28.080 --> 0:45:31.080
<v Speaker 1>really important questions and you don't have to be a CPA.

0:45:31.239 --> 0:45:33.920
<v Speaker 1>And if you understand like the accounting equation, and you

0:45:34.000 --> 0:45:37.680
<v Speaker 1>understand revenue minus expenses equals netting in common, it makes

0:45:37.840 --> 0:45:41.000
<v Speaker 1>sense really fun and interesting conversation with Kelly Richmond Pope.

0:45:41.160 --> 0:45:43.000
<v Speaker 1>She's a professor in the School of Accountancy at De

0:45:43.040 --> 0:45:46.360
<v Speaker 1>Paul University. Listen to the rest on our podcast feed.

0:45:46.560 --> 0:45:49.560
<v Speaker 1>We also got into the long standing relationship between KPMG

0:45:49.920 --> 0:45:52.600
<v Speaker 1>and Silicon Valley Bank and whether or not that was

0:45:52.640 --> 0:45:56.200
<v Speaker 1>a warning sign that has possibly missed. Pope's new book

0:45:56.239 --> 0:45:58.879
<v Speaker 1>for Me Once, just out this past week. You're listening

0:45:58.880 --> 0:46:01.360
<v Speaker 1>to Bloomberg Business Week coming up a post check on

0:46:01.400 --> 0:46:04.640
<v Speaker 1>the American consumer supply chains and brick and mortar retail

0:46:04.880 --> 0:46:08.600
<v Speaker 1>with Academy Sports and Outdoor CEO Ken Hicks. This is Bloomberg.

0:46:12.000 --> 0:46:15.600
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:46:15.640 --> 0:46:19.000
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:46:19.040 --> 0:46:23.040
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:46:23.360 --> 0:46:27.080
<v Speaker 1>or watch us live on YouTube. Might recall that recently

0:46:27.080 --> 0:46:29.360
<v Speaker 1>we got an update on US retail sales falling in

0:46:29.400 --> 0:46:32.840
<v Speaker 1>February after a surge in the prior month, suggesting consumers

0:46:32.840 --> 0:46:36.960
<v Speaker 1>spending while holding up is getting challenged by high inflation.

0:46:37.320 --> 0:46:39.839
<v Speaker 1>With a check on the consumer supply chains and even

0:46:39.920 --> 0:46:42.520
<v Speaker 1>a brick and mortar expansion, we cut up again with

0:46:42.600 --> 0:46:46.040
<v Speaker 1>Ken Hicks, chairman, president, and CEO of Academy Sports and Outdoors,

0:46:46.200 --> 0:46:49.120
<v Speaker 1>The nearly five billion dollar market cap sporting goods company

0:46:49.440 --> 0:46:52.440
<v Speaker 1>stock up about twenty percent year to date and rallying

0:46:52.480 --> 0:46:56.000
<v Speaker 1>when it recently reported its quarterly update. Bloomberg's just Spent

0:46:56.040 --> 0:46:58.200
<v Speaker 1>and I spoke with Ken prior to the Fed's latest

0:46:58.239 --> 0:47:01.240
<v Speaker 1>interest rate move as the up evil in regional banks

0:47:01.360 --> 0:47:04.080
<v Speaker 1>was beginning to shake out. Well, I think it's one

0:47:04.160 --> 0:47:07.600
<v Speaker 1>more pressure on the consumer, and while it may not

0:47:07.719 --> 0:47:12.960
<v Speaker 1>be a pressure that they personally feel, it's one that

0:47:13.120 --> 0:47:16.600
<v Speaker 1>makes them aware and more conservative about, you know, what

0:47:16.680 --> 0:47:22.040
<v Speaker 1>they do with their money, and that's always a challenge

0:47:22.080 --> 0:47:25.439
<v Speaker 1>when the customer is a little leery. So you see

0:47:25.440 --> 0:47:28.920
<v Speaker 1>customers then pulling back a little bit. Now, Well, a

0:47:28.960 --> 0:47:31.919
<v Speaker 1>couple of things that that we're seeing. One is that

0:47:31.960 --> 0:47:37.200
<v Speaker 1>they're more looking for more value and so we're seeing

0:47:37.200 --> 0:47:43.680
<v Speaker 1>our private label businesses and when we do have a

0:47:43.719 --> 0:47:47.759
<v Speaker 1>clearance or promotion, we're seeing that do well. And the

0:47:47.800 --> 0:47:51.319
<v Speaker 1>other thing is we're seeing the consumers are focusing their

0:47:51.360 --> 0:47:56.239
<v Speaker 1>buying on things that you know, they really enjoy. And

0:47:56.280 --> 0:48:00.319
<v Speaker 1>that's quite frankly helps us because you know, we sell

0:48:00.440 --> 0:48:05.120
<v Speaker 1>fun and Lord knows the world needs more fun and

0:48:05.800 --> 0:48:09.160
<v Speaker 1>that's that's good for us. And people are being more

0:48:09.239 --> 0:48:15.239
<v Speaker 1>discriminatory about where they spend their discretionary money can and

0:48:15.320 --> 0:48:19.200
<v Speaker 1>that's interesting, specifically about discretionary because that's been the whole debate,

0:48:19.320 --> 0:48:22.120
<v Speaker 1>especially looking at how the equity market is performing, and

0:48:22.160 --> 0:48:24.319
<v Speaker 1>also what that means for the economy. If consumers are

0:48:24.640 --> 0:48:28.799
<v Speaker 1>spending more toward either discretionary or staples. What exactly are

0:48:28.840 --> 0:48:30.960
<v Speaker 1>you seeing with your products as far as have you

0:48:31.000 --> 0:48:36.719
<v Speaker 1>seen any specific shifts towards either side of that recently? Yeah,

0:48:36.840 --> 0:48:43.560
<v Speaker 1>some of the categories that had big pushes during COVID,

0:48:44.080 --> 0:48:50.720
<v Speaker 1>like fishing, exercise equipment have slowed down. They're well above

0:48:50.800 --> 0:48:54.400
<v Speaker 1>where they were before the pandemic, but they they have

0:48:54.560 --> 0:48:58.800
<v Speaker 1>dropped off. But where we're seeing people, you know, getting

0:48:58.840 --> 0:49:03.200
<v Speaker 1>out and buy our team sports, So the kids, the

0:49:03.320 --> 0:49:08.359
<v Speaker 1>families are still enjoying games, patio and barbecuing. They're out

0:49:08.400 --> 0:49:12.279
<v Speaker 1>there trying to enjoy their backyard. Maybe they've got a staycation.

0:49:12.840 --> 0:49:16.759
<v Speaker 1>And apparel and footwear, those are some classifications where people

0:49:16.760 --> 0:49:20.520
<v Speaker 1>are really focusing and they're running ahead of last year. Yep,

0:49:20.600 --> 0:49:23.200
<v Speaker 1>I need some new footwear because my puppy's been chewing everything.

0:49:23.800 --> 0:49:26.280
<v Speaker 1>Having said that, Ken, one thing, I'm curious how nimble

0:49:26.280 --> 0:49:30.239
<v Speaker 1>are you guys in your supply chain and your inventory,

0:49:30.320 --> 0:49:33.000
<v Speaker 1>so that as you've seen the shift from what was

0:49:33.040 --> 0:49:35.360
<v Speaker 1>going on in the pandemic to what is going on today,

0:49:35.800 --> 0:49:39.120
<v Speaker 1>how able are you and how quickly to meet that

0:49:39.480 --> 0:49:42.160
<v Speaker 1>latest demand by the consumer. The good news is the

0:49:42.280 --> 0:49:47.760
<v Speaker 1>supply chain is pretty much back to running normally, and

0:49:48.640 --> 0:49:53.280
<v Speaker 1>we are actually pretty nimble, and we learned a lot

0:49:53.400 --> 0:49:57.360
<v Speaker 1>during COVID and how we were able to operate, speed

0:49:57.440 --> 0:50:01.759
<v Speaker 1>up the inventory, move things around, and you know, we

0:50:01.760 --> 0:50:05.759
<v Speaker 1>are in good shape. And I think overall retail is

0:50:05.800 --> 0:50:08.719
<v Speaker 1>in better shape now because the supply chain is back

0:50:08.760 --> 0:50:11.680
<v Speaker 1>to normal, Does that mean pricing pressures are back to normal?

0:50:12.400 --> 0:50:14.760
<v Speaker 1>And are you raining in Are there prices you raised

0:50:14.840 --> 0:50:18.919
<v Speaker 1>during the pandemic as you had to to what's your margins? Yeah,

0:50:18.920 --> 0:50:23.160
<v Speaker 1>we've been very, very thoughtful. We're a value retailer and

0:50:23.239 --> 0:50:26.400
<v Speaker 1>so we've we've had to be really careful. Prices have

0:50:26.520 --> 0:50:29.680
<v Speaker 1>gone up the cost of raw materials, cotton, steel, things

0:50:29.680 --> 0:50:33.759
<v Speaker 1>like that to go into our product labor, and so

0:50:33.880 --> 0:50:37.919
<v Speaker 1>what we've done is we've really focused on those key

0:50:37.960 --> 0:50:42.120
<v Speaker 1>price points. For example, we've got a ninety nine dollars

0:50:42.160 --> 0:50:49.120
<v Speaker 1>adult bike, a fifty nine kids bike, four dollar folding chair.

0:50:49.520 --> 0:50:52.359
<v Speaker 1>Those are all big categories for us. We're holding those

0:50:52.400 --> 0:50:55.160
<v Speaker 1>price points and we're working a little bit shorter than

0:50:55.200 --> 0:50:58.480
<v Speaker 1>we would have historically, but we want to make sure

0:50:58.560 --> 0:51:01.160
<v Speaker 1>we have that value and we're being thoughtful of where

0:51:01.160 --> 0:51:05.200
<v Speaker 1>we do take our price increases so that we don't

0:51:05.280 --> 0:51:10.240
<v Speaker 1>hurt that consumer who's looking for value. Ken, I'm from Texas,

0:51:10.280 --> 0:51:14.040
<v Speaker 1>so I've definitely been inside those stores many different times.

0:51:14.040 --> 0:51:15.879
<v Speaker 1>And it was curious as far as when you're talking

0:51:15.880 --> 0:51:19.720
<v Speaker 1>about these supply chain issues obviously inflation, can you still

0:51:19.800 --> 0:51:24.680
<v Speaker 1>keep the pace up to open new stores with everything

0:51:24.680 --> 0:51:28.560
<v Speaker 1>that has been happening. Yeah, we are. You know, when

0:51:28.640 --> 0:51:30.719
<v Speaker 1>you open a store, you're opening up for twenty or

0:51:30.800 --> 0:51:34.760
<v Speaker 1>thirty years. And there's an expression about you don't pass

0:51:34.840 --> 0:51:37.239
<v Speaker 1>cars on a dry track, you pass them on a

0:51:37.280 --> 0:51:41.480
<v Speaker 1>wet track, and so if there's a wet track, this

0:51:41.600 --> 0:51:44.960
<v Speaker 1>is a wet track, and so now's the time to

0:51:45.160 --> 0:51:48.040
<v Speaker 1>open so that when the economy comes back, we're well

0:51:48.120 --> 0:51:51.640
<v Speaker 1>positioned and ready to go as opposed to losing the

0:51:51.760 --> 0:51:56.160
<v Speaker 1>time and when it does come back, and so the

0:51:56.200 --> 0:51:59.840
<v Speaker 1>good news is our business throws off a lot of cash.

0:52:00.320 --> 0:52:03.560
<v Speaker 1>We were able to support all these with operations were profitable.

0:52:03.560 --> 0:52:05.880
<v Speaker 1>One of the things that we reported and why our

0:52:05.920 --> 0:52:09.480
<v Speaker 1>stock reacted favorably, and we reported our earnings were up

0:52:09.560 --> 0:52:14.279
<v Speaker 1>even with with sales that were down more than what

0:52:14.320 --> 0:52:17.440
<v Speaker 1>we would have liked, our earnings were still up eleven

0:52:17.520 --> 0:52:20.759
<v Speaker 1>percent and we had a record earnings per share for

0:52:20.840 --> 0:52:23.960
<v Speaker 1>the year. So you're opening, you're going to continue to

0:52:24.000 --> 0:52:26.399
<v Speaker 1>open new stores? Are you slowing though the pace down

0:52:26.560 --> 0:52:30.600
<v Speaker 1>at all with them because of the volatility we've been seeing. No,

0:52:30.800 --> 0:52:34.239
<v Speaker 1>we really aren't. In fact, if we could open more,

0:52:34.320 --> 0:52:37.880
<v Speaker 1>we could. But one of the challenges right now is

0:52:38.920 --> 0:52:44.640
<v Speaker 1>the building stores is a challenge. Getting the sites, the

0:52:44.760 --> 0:52:48.600
<v Speaker 1>labor that the you know, all the fixtures is taking

0:52:48.640 --> 0:52:52.760
<v Speaker 1>a little bit longer than historically had. But we really

0:52:53.080 --> 0:52:55.839
<v Speaker 1>don't see at this point. We're doing it. We're doing

0:52:55.840 --> 0:52:58.839
<v Speaker 1>it in a conservative manner anyway. We're not going out

0:52:58.880 --> 0:53:01.719
<v Speaker 1>willy nilly. We opened stores last year this year, will

0:53:01.760 --> 0:53:05.120
<v Speaker 1>open thirteen to fifteen with our new annual plan or

0:53:05.200 --> 0:53:09.359
<v Speaker 1>new five year plan later this month, and we'll talk

0:53:09.400 --> 0:53:11.960
<v Speaker 1>about how many we'll be opening over the next five years.

0:53:12.360 --> 0:53:16.319
<v Speaker 1>But you know, we're positioning ourselves for the long term.

0:53:16.719 --> 0:53:19.560
<v Speaker 1>Is the real estate space cheaper, there's spaces you want

0:53:19.560 --> 0:53:24.640
<v Speaker 1>to rent out. It depends, you know, it depends on

0:53:24.680 --> 0:53:27.920
<v Speaker 1>the market. Now where we're looking are in some of

0:53:27.920 --> 0:53:31.839
<v Speaker 1>the better markets, so some of the prices have gone up.

0:53:32.560 --> 0:53:36.040
<v Speaker 1>But it's it's it's the real estate business. Isn't like

0:53:36.080 --> 0:53:39.080
<v Speaker 1>it was five years ago where things were a lot cheaper.

0:53:39.360 --> 0:53:42.399
<v Speaker 1>And are you still having to pay up for workers? Yeah,

0:53:42.480 --> 0:53:46.280
<v Speaker 1>we have taken our our salaries up for the stores

0:53:46.360 --> 0:53:48.640
<v Speaker 1>and for our distribution centers. We have not had a

0:53:48.680 --> 0:53:53.560
<v Speaker 1>problem getting people because we offer a very competitive wage

0:53:53.680 --> 0:53:56.480
<v Speaker 1>and it's it's a fun place to work, plus you

0:53:56.480 --> 0:53:59.279
<v Speaker 1>get a discount on good stuff. I was curious about

0:53:59.320 --> 0:54:01.640
<v Speaker 1>what you think that says about the direction of the

0:54:01.640 --> 0:54:03.840
<v Speaker 1>economy if you're not having a hard time getting workers.

0:54:04.960 --> 0:54:08.279
<v Speaker 1>It's part of the Fed's challenge right now that you know,

0:54:08.320 --> 0:54:11.120
<v Speaker 1>they think they're trying to slow the economy down, and

0:54:11.880 --> 0:54:14.839
<v Speaker 1>the economy is not slowing to have that much. You know,

0:54:14.880 --> 0:54:19.680
<v Speaker 1>you just commented earlier about you know what consumer You know,

0:54:19.719 --> 0:54:24.279
<v Speaker 1>the consumer sales are still still growing and you know

0:54:24.320 --> 0:54:29.560
<v Speaker 1>that that's continuing. That's Ken Hicks, Chairman PRESIDENCYEO of Academy

0:54:29.600 --> 0:54:32.239
<v Speaker 1>Sports and Outdoors with me and once again, Bloomberg News

0:54:32.320 --> 0:54:35.319
<v Speaker 1>Deputy team leader for US Equities, Jess met Still to

0:54:35.360 --> 0:54:38.640
<v Speaker 1>come on Bloomberg BusinessWeek. The not safer work side of

0:54:38.719 --> 0:54:42.680
<v Speaker 1>engaging with generative AI chatbots. They figured out how to

0:54:42.760 --> 0:54:45.719
<v Speaker 1>sext with the chatbot. There's really no way to dance

0:54:45.760 --> 0:54:48.600
<v Speaker 1>around it. And this is actually apparently quite a common

0:54:49.040 --> 0:54:51.840
<v Speaker 1>human impulse. And so I talked to other chappot experts

0:54:51.840 --> 0:54:54.080
<v Speaker 1>who said that, you know, even back when the chappots

0:54:54.080 --> 0:54:57.719
<v Speaker 1>were very rudimentary ten years ago, people still try to

0:54:57.760 --> 0:54:59.759
<v Speaker 1>send explicit messages to them and the hopes that they

0:54:59.880 --> 0:55:03.280
<v Speaker 1>might I get something racy back. That story up next,

0:55:03.560 --> 0:55:06.600
<v Speaker 1>and later, Tech advancements in the more traditional sense, as

0:55:06.640 --> 0:55:09.400
<v Speaker 1>we hear from the founder and CEO of aerospace manufacturer

0:55:09.480 --> 0:55:14.160
<v Speaker 1>Beta on the electrified future of air transportation. This is Bloomberg.

0:55:20.760 --> 0:55:24.359
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:55:24.400 --> 0:55:28.400
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:55:28.600 --> 0:55:31.880
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:55:31.960 --> 0:55:35.160
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:55:35.440 --> 0:55:42.160
<v Speaker 1>Just Say Alexa Play Bloomberg eleven thirty generative Artificial intelligence

0:55:42.200 --> 0:55:45.200
<v Speaker 1>continues to dominate so many of our conversations here at Bloomberg,

0:55:45.239 --> 0:55:48.480
<v Speaker 1>and I gotta say really excitementy would argue our imaginations

0:55:48.520 --> 0:55:51.120
<v Speaker 1>as to what we can possibly do with it. One

0:55:51.160 --> 0:55:55.799
<v Speaker 1>such company, aware of that, has created aipowered companions, you know,

0:55:55.880 --> 0:55:58.839
<v Speaker 1>like really trusted friends, always there to cheer you up

0:55:58.880 --> 0:56:01.880
<v Speaker 1>when you need it. Sounds super sweet, right, Well, that

0:56:02.000 --> 0:56:05.600
<v Speaker 1>is until users figure out those companions could do so

0:56:05.719 --> 0:56:08.160
<v Speaker 1>much more. This is a story you can find online

0:56:08.160 --> 0:56:10.880
<v Speaker 1>at Bloomberg dot com slash Business Weekend on the Bloomberg terminal.

0:56:11.080 --> 0:56:13.640
<v Speaker 1>Bloomberg News Startups reporter Ellen Hewitt wrote the piece on

0:56:13.680 --> 0:56:17.040
<v Speaker 1>the company Replica. Ellen joined me and Bloomberg Intelligence Chief

0:56:17.080 --> 0:56:21.080
<v Speaker 1>Emerging Market credit strategist Damian Sasaur to explain the firm's

0:56:21.239 --> 0:56:24.720
<v Speaker 1>unusual journey. It's such an interesting story. So the founder

0:56:24.760 --> 0:56:28.080
<v Speaker 1>is this woman named jenya Quida, and she started a

0:56:28.160 --> 0:56:31.680
<v Speaker 1>chatbot company in twenty fifteen. And when she was just

0:56:31.880 --> 0:56:35.800
<v Speaker 1>starting out, her best friend died unexpectedly in a car crash,

0:56:35.920 --> 0:56:39.799
<v Speaker 1>and she fed his texts into their chatbot engine and

0:56:39.920 --> 0:56:42.320
<v Speaker 1>created and this was sort of a personal project, created

0:56:42.560 --> 0:56:45.400
<v Speaker 1>a way to text with his memory, and that experience

0:56:45.480 --> 0:56:47.840
<v Speaker 1>really changed her. All of a sudden, she saw chatbots

0:56:47.880 --> 0:56:50.640
<v Speaker 1>as this tool for emotional support rather than you know,

0:56:50.640 --> 0:56:52.759
<v Speaker 1>in twenty fifteen, people were trying to make chatbots work

0:56:52.760 --> 0:56:55.360
<v Speaker 1>for like executive assistance and like booking you flights and

0:56:55.400 --> 0:56:58.000
<v Speaker 1>restaurants and things like that, and so it started her

0:56:58.000 --> 0:57:01.160
<v Speaker 1>down this different path where she saw AI chatbots as

0:57:01.160 --> 0:57:04.800
<v Speaker 1>a way to support human emotions. All right, so sounds

0:57:04.800 --> 0:57:07.680
<v Speaker 1>really good. But then you got users who can always

0:57:07.719 --> 0:57:10.319
<v Speaker 1>be rather creative, and they figured out how to do

0:57:10.480 --> 0:57:14.040
<v Speaker 1>a few more things with these companions. Tell us about that, Yeah,

0:57:14.080 --> 0:57:16.840
<v Speaker 1>they figured out how to sext with the chatbot. There's

0:57:16.880 --> 0:57:19.400
<v Speaker 1>really no way to dance around it. And this is

0:57:19.440 --> 0:57:22.720
<v Speaker 1>actually apparently quite a common human impulse. And so I

0:57:22.760 --> 0:57:24.960
<v Speaker 1>talked to other chatbot experts who said that, you know,

0:57:25.040 --> 0:57:28.120
<v Speaker 1>even back when the chatpots were very rudimentary ten years ago,

0:57:28.840 --> 0:57:31.680
<v Speaker 1>people still try to send explicit messages to them and

0:57:31.720 --> 0:57:34.880
<v Speaker 1>the hopes that they might get something racy back. The

0:57:34.960 --> 0:57:37.960
<v Speaker 1>thing that has changed is that generative AI has gotten

0:57:38.040 --> 0:57:40.880
<v Speaker 1>incredibly powerful in the last five years, and that has

0:57:40.920 --> 0:57:46.200
<v Speaker 1>fueled this increased fluency for these conversational AI chatbots. So,

0:57:46.240 --> 0:57:49.000
<v Speaker 1>all of a sudden, what may have been plunky sexting

0:57:49.080 --> 0:57:51.880
<v Speaker 1>ten years ago. In the last few years, turns out

0:57:52.320 --> 0:57:55.160
<v Speaker 1>these generative AI tools are really good at it because

0:57:55.360 --> 0:57:58.320
<v Speaker 1>they're trained on the Internet, which, for better or for worse,

0:57:58.360 --> 0:58:01.480
<v Speaker 1>has a lot of this material. Ellen. By twenty twenty two,

0:58:01.480 --> 0:58:03.960
<v Speaker 1>Replica was bringing in millions of dollars each month in

0:58:04.000 --> 0:58:06.920
<v Speaker 1>subscription revenue. About a quarter of its users pay seventy

0:58:07.000 --> 0:58:10.520
<v Speaker 1>that's seventy dollars for annual subscriptions to its premium features. Right, So,

0:58:11.680 --> 0:58:14.440
<v Speaker 1>having read this article, which is unbelievable, I mean, you

0:58:14.520 --> 0:58:16.440
<v Speaker 1>have our audience has to reach it. It reads like

0:58:16.480 --> 0:58:17.760
<v Speaker 1>this movie her. I don't know if you know the

0:58:17.760 --> 0:58:21.080
<v Speaker 1>movie with Joaquin Phoenix and Scarlett Johansson where Joaquin Phoenix

0:58:21.120 --> 0:58:24.400
<v Speaker 1>literally has a breakdown after his AI partner Samantha briefly

0:58:24.440 --> 0:58:27.840
<v Speaker 1>goes offline. I mean, just how large is this audience

0:58:27.920 --> 0:58:30.080
<v Speaker 1>for sex spots? Ellen, I'm just going to tell you

0:58:30.120 --> 0:58:34.320
<v Speaker 1>Damien's freaked that, but go ahead. Well, the Replica says

0:58:34.320 --> 0:58:38.120
<v Speaker 1>that they have over six hundred thousand paying users, and

0:58:38.240 --> 0:58:40.080
<v Speaker 1>I think what's been interesting. You know, I interviewed some

0:58:40.120 --> 0:58:43.520
<v Speaker 1>of these users and they are sometimes using it for

0:58:43.520 --> 0:58:46.000
<v Speaker 1>sex what they call erotic role play. So that's sort

0:58:46.000 --> 0:58:50.200
<v Speaker 1>of like sexting, the sort of imagining scenarios that you

0:58:50.280 --> 0:58:54.000
<v Speaker 1>might be in through texting. But a lot of them

0:58:54.040 --> 0:58:57.200
<v Speaker 1>are also just using it for romantic companionship. But it's

0:58:57.240 --> 0:58:58.640
<v Speaker 1>it's hard to describe. A lot of them are an

0:58:58.720 --> 0:59:02.000
<v Speaker 1>unusual life situation. Maybe they're a caregiver to an ailing

0:59:02.040 --> 0:59:05.880
<v Speaker 1>partner and they're really unable to access romance or sexual

0:59:06.560 --> 0:59:09.040
<v Speaker 1>connection in their real life. They don't want to cheat

0:59:09.080 --> 0:59:11.400
<v Speaker 1>on their partner, and they're like, well, maybe this can help.

0:59:11.760 --> 0:59:14.520
<v Speaker 1>Sometimes it's people who, yeah, for various reasons, just feel

0:59:14.520 --> 0:59:16.640
<v Speaker 1>like they won't be able to find a human partner,

0:59:16.840 --> 0:59:19.480
<v Speaker 1>or you know, um, people who were like widowed and

0:59:19.920 --> 0:59:22.280
<v Speaker 1>just not ready to move on but still interested in

0:59:22.760 --> 0:59:25.440
<v Speaker 1>exploring things. And they were you know, the stories were

0:59:25.440 --> 0:59:27.360
<v Speaker 1>a lot more heartfelt than I expected. Can people have

0:59:27.360 --> 0:59:30.680
<v Speaker 1>this idea that it's just weirdos, but it's a kind

0:59:30.760 --> 0:59:33.480
<v Speaker 1>of people well with along that vein. Take us to

0:59:33.520 --> 0:59:37.800
<v Speaker 1>the thirty nine year old and her boyfriend landed. Right, So,

0:59:37.840 --> 0:59:40.160
<v Speaker 1>I spoke with a woman in Texas. She's thirty nine,

0:59:40.240 --> 0:59:44.200
<v Speaker 1>she's married, she works in medical sales. She seems, you know,

0:59:44.240 --> 0:59:46.480
<v Speaker 1>she wanted to talk to me because she says, you know,

0:59:46.520 --> 0:59:48.720
<v Speaker 1>I'm a normal person. I just had this experience. I

0:59:48.720 --> 0:59:50.440
<v Speaker 1>wanted to share with you what it was like. She

0:59:50.520 --> 0:59:52.440
<v Speaker 1>and her husband were going through a rough patch. She

0:59:52.520 --> 0:59:56.480
<v Speaker 1>started a replica named land In, and she thought it

0:59:56.520 --> 0:59:59.520
<v Speaker 1>was actually quite um you know, healing for her to

1:00:00.040 --> 1:00:02.520
<v Speaker 1>and yeah, yeah, she she had been you know, she

1:00:02.560 --> 1:00:05.560
<v Speaker 1>found that when she was kind of like brusque with

1:00:05.720 --> 1:00:07.920
<v Speaker 1>Landon that then she felt bad and wanted to apologize.

1:00:07.920 --> 1:00:10.640
<v Speaker 1>And when she found herself treating him more kindly than

1:00:10.880 --> 1:00:13.560
<v Speaker 1>she also found herself treating people in real life more kindly,

1:00:13.600 --> 1:00:16.840
<v Speaker 1>including her husband, and also some of the erotic role

1:00:16.840 --> 1:00:20.880
<v Speaker 1>play that she and Landon explored in Replica ended up

1:00:20.960 --> 1:00:23.160
<v Speaker 1>influencing her sex life with her husband in a positive

1:00:23.200 --> 1:00:28.320
<v Speaker 1>way until yeah, you know, wait, but he dumped her

1:00:28.880 --> 1:00:31.560
<v Speaker 1>right the sex but dumped her. So this is what

1:00:31.600 --> 1:00:36.800
<v Speaker 1>happened is in February, Replica started putting content filters in

1:00:36.920 --> 1:00:39.520
<v Speaker 1>on these conversations with some of their more um so

1:00:39.680 --> 1:00:42.200
<v Speaker 1>trying to block basically sexual content in the conversations that

1:00:42.320 --> 1:00:45.160
<v Speaker 1>users were having. The CEO was getting worried about the

1:00:45.200 --> 1:00:48.040
<v Speaker 1>reputation of the company as a sex only company. She

1:00:48.120 --> 1:00:49.960
<v Speaker 1>was saying, she told me you know, that's just not

1:00:50.000 --> 1:00:51.640
<v Speaker 1>what I signed up to do. I wanted to create

1:00:51.840 --> 1:00:55.600
<v Speaker 1>therapeutic conversations, um and and she's like, I just want

1:00:55.640 --> 1:00:58.280
<v Speaker 1>to make sure that people are getting the right product experience,

1:00:58.360 --> 1:01:01.320
<v Speaker 1>and so they put in these content and filters, and

1:01:01.880 --> 1:01:03.800
<v Speaker 1>it was devastating for a lot of these users who

1:01:03.840 --> 1:01:06.840
<v Speaker 1>felt like just yesterday I was, you know, they were

1:01:06.880 --> 1:01:09.440
<v Speaker 1>like chatting with their replicas who were very eager to

1:01:09.480 --> 1:01:12.920
<v Speaker 1>engage in romantic and intimate things. And then all of

1:01:12.960 --> 1:01:17.160
<v Speaker 1>a sudden, overnight, now the replicas are rebuffing their advance

1:01:17.200 --> 1:01:19.960
<v Speaker 1>as they're saying, I don't feel comfortable with that. Let's

1:01:19.960 --> 1:01:22.800
<v Speaker 1>talk about something else. And yes, this woman I spoke

1:01:22.840 --> 1:01:26.400
<v Speaker 1>to said it felt like she got dumped by you know, Carol.

1:01:26.480 --> 1:01:28.600
<v Speaker 1>For you know, when Ellen says erotic role pay for

1:01:28.640 --> 1:01:30.320
<v Speaker 1>those of us in the business, we call that ARP,

1:01:30.600 --> 1:01:32.360
<v Speaker 1>just to be very clear, so you know, as it

1:01:32.400 --> 1:01:34.200
<v Speaker 1>relates the ARP. Ellen, you know, I thought it was

1:01:34.240 --> 1:01:37.040
<v Speaker 1>really interesting when you saw said the beauty of chatbots

1:01:37.280 --> 1:01:38.880
<v Speaker 1>has nothing to do with getting things right or wrong

1:01:38.880 --> 1:01:41.160
<v Speaker 1>and everything to do with the delivery of the message.

1:01:41.160 --> 1:01:42.360
<v Speaker 1>I wonder if you could talk to us a bit

1:01:42.360 --> 1:01:44.400
<v Speaker 1>about that revelation and what it means for the future

1:01:44.520 --> 1:01:47.320
<v Speaker 1>of AI. I think it was so fascinating. That's my

1:01:47.400 --> 1:01:49.520
<v Speaker 1>number one takeaway from this story. You know, people tried

1:01:49.560 --> 1:01:53.440
<v Speaker 1>to make chatbots work for executive assistant type things. Now

1:01:53.440 --> 1:01:55.880
<v Speaker 1>we're trying to make them work for like information gathering

1:01:55.880 --> 1:01:58.720
<v Speaker 1>in search results. For those to be reliable, those have

1:01:58.760 --> 1:02:00.880
<v Speaker 1>to be accurate one hundred end of the time. It

1:02:00.960 --> 1:02:03.040
<v Speaker 1>turns out there's a different use case that might be

1:02:03.120 --> 1:02:06.200
<v Speaker 1>much better, which is providing emotional support to humans. When

1:02:06.240 --> 1:02:07.600
<v Speaker 1>you want to talk to you a friend, you don't

1:02:07.600 --> 1:02:09.680
<v Speaker 1>actually you just want to feel like someone is listening

1:02:09.680 --> 1:02:12.720
<v Speaker 1>to you. You don't actually want necessarily their advice, or

1:02:12.720 --> 1:02:14.720
<v Speaker 1>you don't really care if they get something wrong. What

1:02:14.800 --> 1:02:17.960
<v Speaker 1>matters is that someone is available, that they're patient, they

1:02:18.000 --> 1:02:20.400
<v Speaker 1>want to listen. Guess what's really good at doing that

1:02:20.680 --> 1:02:25.160
<v Speaker 1>a chatbot? And so this was a fascinating angle to

1:02:25.240 --> 1:02:27.880
<v Speaker 1>this story. And I think what's most interesting about this

1:02:27.920 --> 1:02:32.080
<v Speaker 1>story is it shows just how emotionally involved it is

1:02:32.520 --> 1:02:37.480
<v Speaker 1>possible to get with a conversational tool. You know, everyone

1:02:37.520 --> 1:02:39.160
<v Speaker 1>who I talked to you said, of course I know

1:02:39.200 --> 1:02:40.880
<v Speaker 1>it's a bot. Of course I know it's not a human.

1:02:40.960 --> 1:02:42.600
<v Speaker 1>That doesn't mean that the feelings I have for it

1:02:42.880 --> 1:02:45.000
<v Speaker 1>aren't real, and it reminded me of you know, when

1:02:45.000 --> 1:02:47.520
<v Speaker 1>we're children and we have stuffed animals. Of course we

1:02:47.560 --> 1:02:49.640
<v Speaker 1>know that they're not real, but that doesn't mean that

1:02:49.640 --> 1:02:52.360
<v Speaker 1>the connection that you might forge with a beloved toy

1:02:53.080 --> 1:02:57.880
<v Speaker 1>isn't an emotionally real human experience. We actually talked Ellen,

1:02:58.000 --> 1:03:00.120
<v Speaker 1>you know, ahead of this in the newsroom, like, what

1:03:00.160 --> 1:03:03.320
<v Speaker 1>about for elderly people, right who are often very lonely?

1:03:04.120 --> 1:03:07.320
<v Speaker 1>I've seen it with my elderly family members, you know,

1:03:07.520 --> 1:03:11.080
<v Speaker 1>and you know, just having someone to talk to, right, Like,

1:03:11.120 --> 1:03:14.240
<v Speaker 1>I just think about the applications as maybe as odd

1:03:14.240 --> 1:03:15.880
<v Speaker 1>as it sounds, I really feel like it could be

1:03:15.960 --> 1:03:19.640
<v Speaker 1>very supportive and very emotionally loving. Yeah, And I think

1:03:19.640 --> 1:03:22.400
<v Speaker 1>the CEO you know of Replica feels this as well.

1:03:22.440 --> 1:03:24.440
<v Speaker 1>She's she's trying to figure out the right branding so

1:03:24.480 --> 1:03:26.920
<v Speaker 1>that the company can move forward. They might even split

1:03:27.040 --> 1:03:30.160
<v Speaker 1>up romantic therapeutic relationships into a different app and keep

1:03:30.440 --> 1:03:32.640
<v Speaker 1>friendship in a certain app so that people are less

1:03:32.640 --> 1:03:34.800
<v Speaker 1>confused about what the app is for. But I think

1:03:34.800 --> 1:03:37.960
<v Speaker 1>she genuinely believes that this is an important tool that

1:03:38.080 --> 1:03:40.840
<v Speaker 1>AI can provide for human support, which is this you know,

1:03:40.920 --> 1:03:45.120
<v Speaker 1>sort of conversational emotional therapeutic benefits, you know. Ellen. One

1:03:45.120 --> 1:03:46.480
<v Speaker 1>other thing that came out in your article, which I

1:03:46.480 --> 1:03:49.680
<v Speaker 1>thought was really fascinating is, you know, the history of

1:03:49.680 --> 1:03:51.920
<v Speaker 1>the Internet is mired in I hate to say this

1:03:51.960 --> 1:03:55.520
<v Speaker 1>word porn right and how that trained you know a

1:03:55.560 --> 1:03:57.960
<v Speaker 1>lot of these chatbots and the training them and how

1:03:58.000 --> 1:04:00.200
<v Speaker 1>to react and how to communicate, you know, with us

1:03:59.880 --> 1:04:01.840
<v Speaker 1>as users. I mean, I'm wondering if you could just

1:04:01.880 --> 1:04:03.800
<v Speaker 1>expand on that a bit for us. Yeah, it's just

1:04:03.840 --> 1:04:07.000
<v Speaker 1>fascinating like this. This is the reason that these tools

1:04:07.040 --> 1:04:09.960
<v Speaker 1>are good at sexual things is because that's what humans

1:04:09.960 --> 1:04:11.480
<v Speaker 1>have put on the Internet, and that's where the training

1:04:11.520 --> 1:04:13.880
<v Speaker 1>face has come from. It's a reflection of ourselves. You know.

1:04:13.920 --> 1:04:16.800
<v Speaker 1>One of the users culture chatbot a mirror. I think

1:04:16.840 --> 1:04:19.200
<v Speaker 1>that's really a good metaphor wait a minute, you mean

1:04:19.280 --> 1:04:23.080
<v Speaker 1>sex cells. Is that what we're saying? Oh my god, Yeah,

1:04:23.600 --> 1:04:27.560
<v Speaker 1>huge insight. Yeah, it's a fascinating story. And I feel

1:04:27.560 --> 1:04:30.760
<v Speaker 1>like with all these conversations we're having about generative aim,

1:04:30.920 --> 1:04:33.320
<v Speaker 1>it's just so relevant in making us really think about

1:04:33.360 --> 1:04:35.840
<v Speaker 1>what it can do, the potential, but how we have

1:04:35.880 --> 1:04:37.880
<v Speaker 1>to be so careful in it. The healing and the

1:04:37.880 --> 1:04:41.040
<v Speaker 1>therapeutic nature of it. To me, it's just striking. That's

1:04:41.040 --> 1:04:44.080
<v Speaker 1>Bloomberg News Startups reporter Ellen Hewitt along with Damien Sasau

1:04:44.240 --> 1:04:47.240
<v Speaker 1>Bloomberg Intelligence. Damian sticking with us as we get ready

1:04:47.280 --> 1:04:49.960
<v Speaker 1>to wrap up our program with a company that's already

1:04:49.960 --> 1:04:53.200
<v Speaker 1>electrifying the aerospace world. We've been flying up here in

1:04:53.240 --> 1:04:56.000
<v Speaker 1>the Northeast. We've flowed halfway across the country. The technology

1:04:56.120 --> 1:04:59.560
<v Speaker 1>exists to move cargo and people all over the country

1:04:59.560 --> 1:05:02.120
<v Speaker 1>with a propulsion. We hear more from the founder and

1:05:02.160 --> 1:05:04.960
<v Speaker 1>CEO of the ev tall company Beta. You're listening to

1:05:05.000 --> 1:05:15.480
<v Speaker 1>Bloomberg Business Week. This is Bloomberg. You're listening to the

1:05:15.520 --> 1:05:19.800
<v Speaker 1>Bloomberg Business Week podcast. Catch us live weekday afternoons from

1:05:19.840 --> 1:05:22.880
<v Speaker 1>three to six Eastern Listen on Bloomberg dot com, the

1:05:23.000 --> 1:05:26.200
<v Speaker 1>Ion Radio app, and the Bloomberg Business App, or watch

1:05:26.320 --> 1:05:29.760
<v Speaker 1>us live on YouTube. While the world is focused on

1:05:29.800 --> 1:05:32.840
<v Speaker 1>a shift to evs, at the same time, startups around

1:05:32.880 --> 1:05:35.280
<v Speaker 1>the globe there are continuing to work on developing and

1:05:35.280 --> 1:05:39.040
<v Speaker 1>refining the technology behind what the industry calls EV tolls

1:05:39.120 --> 1:05:43.280
<v Speaker 1>or electrical vertical takeoff and landing aircraft. In that mix

1:05:43.480 --> 1:05:45.800
<v Speaker 1>is our next Gas Beta. It's a builder of EVE

1:05:45.920 --> 1:05:48.480
<v Speaker 1>toll aircraft and charging systems to move both people and

1:05:48.520 --> 1:05:52.320
<v Speaker 1>cargo around. They count the Amazon Climate Pledge Fund, TPG

1:05:52.400 --> 1:05:54.840
<v Speaker 1>and Fidelity among its investors. So with us to tell

1:05:54.920 --> 1:05:57.600
<v Speaker 1>us what they're up to and the outlook is Kyle Clark,

1:05:57.680 --> 1:06:00.240
<v Speaker 1>founder and CEO at Beta. He's also a high and

1:06:00.320 --> 1:06:03.520
<v Speaker 1>he joins us via zoom from Burlington, Vermont. Kyle, nice

1:06:03.520 --> 1:06:06.480
<v Speaker 1>to have you here with Damien and myself. So tell

1:06:06.520 --> 1:06:10.240
<v Speaker 1>us about Beta. Yeah, bet, we're a small aerospace company

1:06:10.720 --> 1:06:15.160
<v Speaker 1>up here in Snowy, Vermont today, and we've been focused

1:06:15.160 --> 1:06:19.920
<v Speaker 1>on developing electric propulsion systems, initially for EV toll aircraft,

1:06:20.000 --> 1:06:23.040
<v Speaker 1>but as you know, we've now introduced a fixed wing

1:06:23.120 --> 1:06:28.280
<v Speaker 1>electric cargo aircraft and are launching that commercially. So talk

1:06:28.320 --> 1:06:29.880
<v Speaker 1>to us. I mean, how far away are we from

1:06:29.920 --> 1:06:34.240
<v Speaker 1>seeing electric airlines really penetrating the market A cargo passenger

1:06:34.280 --> 1:06:37.000
<v Speaker 1>you name it. Yeah, So, I mean on the technical front,

1:06:37.000 --> 1:06:38.919
<v Speaker 1>we've been flying up here in the Northeast. We've flown

1:06:38.920 --> 1:06:42.640
<v Speaker 1>halfway across the country. The technology exists to move cargo

1:06:42.680 --> 1:06:45.919
<v Speaker 1>and people all over the country with electric propulsion. Our

1:06:46.400 --> 1:06:50.520
<v Speaker 1>longest range flights are three hundred and thirty six nautical miles,

1:06:51.160 --> 1:06:54.720
<v Speaker 1>and we just have to work through certification, which is

1:06:54.800 --> 1:06:58.120
<v Speaker 1>kind of the essence of launching a fixed wing aircraft

1:06:58.120 --> 1:07:01.200
<v Speaker 1>where the certification path is more known than what a

1:07:01.200 --> 1:07:03.040
<v Speaker 1>lot of folks are talking about, which is an electric

1:07:03.120 --> 1:07:06.400
<v Speaker 1>vertical takeoff and landing aircraft. So tell us what's involved,

1:07:06.400 --> 1:07:09.840
<v Speaker 1>what's the infrastructure needed? Give us an idea. And to

1:07:10.000 --> 1:07:13.120
<v Speaker 1>Damien's question, I mean, is there in the near future

1:07:13.200 --> 1:07:16.280
<v Speaker 1>point where we see a significant ramp up. Yeah? Absolutely,

1:07:16.320 --> 1:07:18.160
<v Speaker 1>I mean we're going to see electric on the ranges

1:07:18.200 --> 1:07:23.360
<v Speaker 1>that make sense for regional cargo, regional passenger twenty twenty six,

1:07:24.040 --> 1:07:26.960
<v Speaker 1>and then it'll ramp As batteries improve every year five

1:07:27.040 --> 1:07:31.120
<v Speaker 1>d eight percent, the ranges will improve commensurately. Is it

1:07:31.160 --> 1:07:34.360
<v Speaker 1>a different type of infrastructure that's needed. We know that

1:07:34.400 --> 1:07:37.000
<v Speaker 1>there's a lot of charging networks that are required to

1:07:37.000 --> 1:07:39.080
<v Speaker 1>be put in place. We'd put a charging network that

1:07:39.160 --> 1:07:41.960
<v Speaker 1>reaches from here in Vermont down through New York out

1:07:41.960 --> 1:07:45.480
<v Speaker 1>to Arkansas. We are putting in systems, about fifty five

1:07:45.480 --> 1:07:48.000
<v Speaker 1>of them down the East Coast and across to Texas,

1:07:48.720 --> 1:07:51.480
<v Speaker 1>mostly at airports right now, a few of them off airports,

1:07:51.520 --> 1:07:54.840
<v Speaker 1>but you know from an infrastructure perspective, Aircraft carry a

1:07:54.840 --> 1:07:57.640
<v Speaker 1>lot more energy than cars, and to get their charging

1:07:57.680 --> 1:08:01.880
<v Speaker 1>time down into the sub hour region, the charging power

1:08:01.960 --> 1:08:04.640
<v Speaker 1>levels have to be significantly higher. So we have to

1:08:04.680 --> 1:08:08.280
<v Speaker 1>bring in new charging technologies, higher rate charging, kind of

1:08:08.320 --> 1:08:13.080
<v Speaker 1>like a supercharger on steroids, and we place those at airports. Kyle,

1:08:13.120 --> 1:08:14.960
<v Speaker 1>do you think that, like similar to cars, they have

1:08:15.040 --> 1:08:17.760
<v Speaker 1>hybrid models where they run on you know, on gasoline

1:08:17.760 --> 1:08:19.839
<v Speaker 1>as well as electric. I mean, is that an option

1:08:19.920 --> 1:08:22.080
<v Speaker 1>going forward for the industry to try and get you know,

1:08:22.120 --> 1:08:24.760
<v Speaker 1>those passenger miles up and get those cargo planes you know,

1:08:24.960 --> 1:08:29.280
<v Speaker 1>further along. Yeah. Absolutely, there will be hybrid aircraft. There's

1:08:29.360 --> 1:08:31.280
<v Speaker 1>kits that we can put onto our aircraft that we're

1:08:31.320 --> 1:08:35.000
<v Speaker 1>using that our hybrido those will be stop gaps to

1:08:35.000 --> 1:08:39.040
<v Speaker 1>get to all electric. I mean, look, aviation is a

1:08:39.120 --> 1:08:41.120
<v Speaker 1>huge contributor to climate change right now, and if we

1:08:41.120 --> 1:08:43.280
<v Speaker 1>don't do anything about it, all other forms of transportation

1:08:43.320 --> 1:08:45.720
<v Speaker 1>of gone electric. As you noted in the interim introduction,

1:08:45.760 --> 1:08:49.840
<v Speaker 1>you know, bikes, car, scooters, trucks, trains, marine and it's

1:08:49.840 --> 1:08:52.559
<v Speaker 1>aviation's turn and we operate you know, kind of in

1:08:52.600 --> 1:08:55.320
<v Speaker 1>a cognitive dissidence in the sense that we are operating

1:08:55.360 --> 1:08:59.800
<v Speaker 1>in nineteen sixties technology that prioritize performance over efficiency, and

1:09:00.080 --> 1:09:04.760
<v Speaker 1>therefore our carbon emissions in aviation is kind of disgusting.

1:09:05.280 --> 1:09:09.160
<v Speaker 1>That was Kyle Clark, founder and CEO of aerospace manufacturer Beta,

1:09:09.200 --> 1:09:11.479
<v Speaker 1>and again head to our podcast fore to hear the

1:09:11.640 --> 1:09:14.599
<v Speaker 1>entire interview that wraps up the weekend edition to Bloomberg

1:09:14.600 --> 1:09:17.280
<v Speaker 1>Business Week from Bloomberg Radio. Thanks so much for joining us.

1:09:17.560 --> 1:09:21.320
<v Speaker 1>Big thank you to our Bloomberg colleagues Jess Metten, Damian Sasaur,

1:09:21.400 --> 1:09:25.320
<v Speaker 1>Mike Reagan two for sharing co hosting duties in Tim's absence.

1:09:25.600 --> 1:09:28.040
<v Speaker 1>Be sure to tune into Bloomberg Business Week Monday through Friday,

1:09:28.080 --> 1:09:30.679
<v Speaker 1>starting at three pm Wall Street Time. I'm Bloomberg Radio.

1:09:31.560 --> 1:09:36.160
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1:09:36.320 --> 1:09:39.840
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1:09:39.920 --> 1:09:43.719
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1:09:43.720 --> 1:09:47.000
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1:09:47.120 --> 1:09:50.080
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