WEBVTT - Bloomberg Businessweek Weekend - September 15th, 2023

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<v Speaker 1>This is Bloomberg business Week inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Hi, everyone, Welcome to the weekend edition of Bloomberg Business Week.

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<v Speaker 2>Carol Masser is off this week. We're coming off of

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<v Speaker 2>hotter than hoped CPI and PPI readings, while August retail

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<v Speaker 2>sales also surprise to the upside. And on Capitol Hill,

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<v Speaker 2>a slew of tech titans, including Elon Musk and Mark Zuckerberg,

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<v Speaker 2>met with lawmakers to discuss the potential risks of artificial

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<v Speaker 2>intelligence technology. Tech will be a big theme on this program,

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<v Speaker 2>as we'll be talking everything from cybersecurity, space exploration, AI

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<v Speaker 2>in the retail space, and crypto. We begin with the

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<v Speaker 2>Ladder in this week's Bloomberg Business Week cover story about

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<v Speaker 2>the mom and dad behind the man accused of one

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<v Speaker 2>of the biggest crypto related frauds ever. Bloomberg Business Week

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<v Speaker 2>Call Max Chafkin and Bloomberg News Digital Currencies reporter Hannah

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<v Speaker 2>Miller joined me and Simone Foxman to explain how Sam

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<v Speaker 2>Bankman Freed's elite parents helped make the rise of FTX possible.

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<v Speaker 2>Also with US is Bloomberg BusinessWeek editor Joe Weber.

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<v Speaker 3>We're a couple of weeks away from SBF's trial beginning

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<v Speaker 3>October second. I think that Joe Bankman and Barbara Freed

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<v Speaker 3>will have some revelations about them will come out at

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<v Speaker 3>that trial. I think that they are have been an

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<v Speaker 3>underappreciated element of the SBF story.

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<v Speaker 1>Max.

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<v Speaker 3>Why is that?

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<v Speaker 4>Well?

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<v Speaker 5>I think, I mean, one thing is that you know,

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<v Speaker 5>this is a massive alleged fraud. You know, if prosecutes

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<v Speaker 5>are right, it's one of the biggest frauds in US history.

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<v Speaker 5>And I think you know, in some sense properly we're

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<v Speaker 5>focusing on Sam Bankman Freed in his inner circle. The

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<v Speaker 5>thing about the parents that is so interesting is tim

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<v Speaker 5>as you said, they are these really towering figures in academia.

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<v Speaker 5>They're sort of famous for being like ethical and they

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<v Speaker 5>both teach at Stanford Law School. There there it's almost

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<v Speaker 5>like the least likely parents of an alleged crook, and

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<v Speaker 5>that's kind of what makes them so interesting. The second

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<v Speaker 5>thing that makes them really interesting, and the reason I

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<v Speaker 5>think you played that clip is because they were more

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<v Speaker 5>involved in this company than they have said that than

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<v Speaker 5>Sam MCMANFRIEDE said, And you actually heard Joe Bankman's voice

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<v Speaker 5>in that ad?

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<v Speaker 2>Yeah, hold on, I thought that was Larry David.

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<v Speaker 3>There was Larry David. But Hannah to walk us through

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<v Speaker 3>what else.

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<v Speaker 6>Happened in there?

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<v Speaker 7>All right, I could not believe that Joe Bankman had

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<v Speaker 7>been in that commercial. Right under our noses, we know

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<v Speaker 7>that Sam bankman Fried's brother Gabriel requested a role for

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<v Speaker 7>Joe in the commercial. I think it was kind of

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<v Speaker 7>fitting that he played a founding father when he is

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<v Speaker 7>the father of an FTX co founder. And yeah, he

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<v Speaker 7>had that single line, but it was an effective one.

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<v Speaker 7>So it just shows you that this was a family affair.

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<v Speaker 8>Well, take me through Max the details here. How exactly

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<v Speaker 8>were they tied to this business in a true business way,

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<v Speaker 8>because part of the story really focuses on how they

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<v Speaker 8>were sort of these intangible help to SBF and then

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<v Speaker 8>there are some actual clear ties.

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<v Speaker 5>Yeah, and I think those first of all, I think

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<v Speaker 5>the intangibles matter here. And when you go back and

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<v Speaker 5>kind of look at one of the big you know,

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<v Speaker 5>enduring mysteries I think of this case is like, why

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<v Speaker 5>did people go for this? You know, there were so

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<v Speaker 5>many red flags. This is a guy who refused to

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<v Speaker 5>wear pants, you know, was he was local. He's running

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<v Speaker 5>this massive financial services company, you know, in a place

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<v Speaker 5>that is kind of considered a tax haven. A lot

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<v Speaker 5>of his business was not allowed. And you know, one

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<v Speaker 5>of the things that people would point to, including investors,

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<v Speaker 5>including you know, in one case, for as we report

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<v Speaker 5>in the story, a former Securities and Exchange commissioner would

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<v Speaker 5>point to the parents. These were people with a big reputation. Now,

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<v Speaker 5>the other thing that happened is that FTX and Alameda,

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<v Speaker 5>which was like the precursor to FTX, It was Sam

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<v Speaker 5>Becinfried's hedge fund. They were both those companies were really

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<v Speaker 5>operating kind of on the edges of what was legal.

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<v Speaker 5>Right that crypto was is a novel field. They're walking,

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<v Speaker 5>working across different countries, and Sam Megmnfreed needed lawyers, and

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<v Speaker 5>his dad, you know, is a pretty good lawyer, or

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<v Speaker 5>at least you know, was seen that way at the time.

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<v Speaker 5>And his dad, you know, from the very beginning, as

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<v Speaker 5>we report in this story, was involved. And and what

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<v Speaker 5>has been previously said is that Oh, well, he was

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<v Speaker 5>you know, maybe helped a little bit and he mostly

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<v Speaker 5>worked on philanthropy. But no, as we talk about, you know,

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<v Speaker 5>he was involved in the issuing of FTT, which was

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<v Speaker 5>kind of like the you know, funny money that Sam

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<v Speaker 5>Magmnfreed created to raise money for FTX. The creation of FTX,

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<v Speaker 5>this ad and you know, it's basically numerous other areas

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<v Speaker 5>of the business people you know we spoke to, you know,

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<v Speaker 5>knew him. They they saw him in the office, and

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<v Speaker 5>so you know, he was he was part of the team, uh,

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<v Speaker 5>formally starting you know at the beginning of twenty twenty two,

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<v Speaker 5>but going back to the to the very very beginning.

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<v Speaker 3>Hannah, can you enlighten us about another key element of

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<v Speaker 3>the reporting, which is the importance that the parents represented

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<v Speaker 3>in terms of just their reputations vetting basically Sam's idea

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<v Speaker 3>for the business right Sequoia Capital played a huge part

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<v Speaker 3>in that too.

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<v Speaker 7>Yeah, we know, you know that they were known figures

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<v Speaker 7>both in the Stanford community and outside of it. You know,

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<v Speaker 7>I live in the Bay Area. I came across many

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<v Speaker 7>people who knew of them and interviewed them for this story,

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<v Speaker 7>and they had influence, you know, they gave their stamp

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<v Speaker 7>of approval, you know, to their family friend who then

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<v Speaker 7>went to Sequoia and you know, gave the recommendation that

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<v Speaker 7>you know, this was a company that they should be

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<v Speaker 7>looking at. That he knew Sam Bank mcfreed's parents that

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<v Speaker 7>these were people who were well respected, well known. So yeah,

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<v Speaker 7>they you know, they kind of helped pave the way

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<v Speaker 7>for their son.

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<v Speaker 5>There's also the political element, you know, a big part

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<v Speaker 5>of Sam bankman Freed. It's both his kind of like

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<v Speaker 5>actual business strategy and when you look at like what's

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<v Speaker 5>the mythology around him was as a political player. He

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<v Speaker 5>was donating huge sums of money to especially the Democratic Party,

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<v Speaker 5>but as we've learned throughout the case, to both parties.

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<v Speaker 5>Officially he was trying to like for these like effective

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<v Speaker 5>altruism related causes, mostly around pandemics. But of course, I

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<v Speaker 5>think all along there was a bit of a wink wink, hey,

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<v Speaker 5>and it would be pretty nice if there were some

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<v Speaker 5>good crypto policy too. Now, his mother, Barbara Fried, in

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<v Speaker 5>addition to being this you know, famous ethicist, she's I mean,

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<v Speaker 5>she's a really impressive person. She's written kind of like

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<v Speaker 5>a seminal paper on the trolley problem, which is the

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<v Speaker 5>if you've watched The Good Place, it's kind of like

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<v Speaker 5>a famous ethical quandary. She in twenty sixteen came this

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<v Speaker 5>major figure on the left as a kind of Democratic

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<v Speaker 5>Party fundraiser, funneling money from like Eric Schmidt and these

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<v Speaker 5>big time Silicon Valley folks. That gives, of course, gives

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<v Speaker 5>the family a bunch of connections. It also allows Sam

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<v Speaker 5>Bankman Freed to kind of slot right in right. He

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<v Speaker 5>starts donating money in twenty in twenty twenty and almost

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<v Speaker 5>immediately is like on the inner circle of Democratic Party fundraising.

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<v Speaker 5>And it's in part by giving through this network. Joe

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<v Speaker 5>Bankman also had and has, you know, real connections. He's

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<v Speaker 5>he's worked, he's advised political figures on tax policies. He's

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<v Speaker 5>he's done a lot of advocacy for tax reform. And

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<v Speaker 5>so he knew people, you know, they were both Barbara's

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<v Speaker 5>networks and then and then Joe's contacts. I think we're

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<v Speaker 5>helpful on both fronts and allowed Sam Bankment Freed to,

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<v Speaker 5>you know, out of almost nowhere to be you know,

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<v Speaker 5>really really on the inner circle in Washington, DC, where

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<v Speaker 5>all of a sudden you have like major political figures

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<v Speaker 5>taking seriously the idea that like this again, guy who

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<v Speaker 5>refused to wear pants and you know, based in some

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<v Speaker 5>kind of jurisdiction that no one really knows for sure,

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<v Speaker 5>no one knows what he does, that he is going

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<v Speaker 5>to be like the guru to tell us how to

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<v Speaker 5>you know, reform digital currencies.

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<v Speaker 2>A guy who said we should note who didn't want

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<v Speaker 2>a yacht. Though, as the reporting shows from Max and Hannah,

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<v Speaker 2>FTX and people associated with FTX did end up buying

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<v Speaker 2>some sort of yacht. Hannah to that point, talk to

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<v Speaker 2>us a little bit about how Sam BigMan Fried's parents

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<v Speaker 2>benefited financially from their relationship with FTX and with their son.

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<v Speaker 2>What did you guys uncover?

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<v Speaker 7>Well, we know that they frequently visited the FTX campus

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<v Speaker 7>and the Bahamas, that they sometimes even flew private to

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<v Speaker 7>get there. They would frequently stay at a sixteen million

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<v Speaker 7>dollar beach side apartment that FTX had purchased. They considered

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<v Speaker 7>it to be the company's property, not their home. But

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<v Speaker 7>they also you know, really helped him gain footing. They

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<v Speaker 7>you know, we as Snacks mentioned, you know, Joe would

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<v Speaker 7>go with him to meet with elected officials. You know,

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<v Speaker 7>they got a taste of the nice life with their son,

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<v Speaker 7>and it's it was very interesting to report about their

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<v Speaker 7>presence at FTX.

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<v Speaker 5>Yeah, that house, by the way, I mean, it's so

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<v Speaker 5>so they're what they say and we should we should

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<v Speaker 5>say this is you know, they did not see it

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<v Speaker 5>as theirs. They thought it was you know, company property. Essentially,

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<v Speaker 5>there were a lot of wonderful perks to working for FTX,

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<v Speaker 5>you know, like the people were flying private and they

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<v Speaker 5>were in fact flying their Amazon packages private. But Bloomberg

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<v Speaker 5>uncovered a bill of sale that has their names on it,

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<v Speaker 5>so so legally, you know, they own the home. And

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<v Speaker 5>the other thing is they received quite a bit of money.

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<v Speaker 5>And in early twenty twenty two, Sam mcminfrey gave his

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<v Speaker 5>father ten million dollars. And the way he did that was,

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<v Speaker 5>as we report in the piece, is he borrowed money

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<v Speaker 5>from Alameda. Those are accounts that, according to prosecutors, contain

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<v Speaker 5>customer funds, transfer to himself, transferred the money to Joe.

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<v Speaker 5>According to court documents, he asked Joe for advice on this,

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<v Speaker 5>asked his dad for advice, and then sent this ten

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<v Speaker 5>million dollar check. And court documents have alleged that they're

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<v Speaker 5>using that money, you know, to pay for the defense, because,

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<v Speaker 5>of course, a massive criminal defense is not cheap.

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<v Speaker 2>Our thanks to Bloomberg's Max Chafkin and Hannah Miller for

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<v Speaker 2>breaking down the cover story with me and Simone Foxman

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<v Speaker 2>for the entire conversation. Head on over to our BusinessWeek

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<v Speaker 2>podcast feed and read the article in the magazine as well.

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<v Speaker 2>It's on newsstands, now online, and on the Bloomberg terminal.

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<v Speaker 2>Joe Weber will be back with us a bit later.

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<v Speaker 2>Coming up, We talked to a man who's spent the

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<v Speaker 2>past two years investigating SBF along with many other players

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<v Speaker 2>and ponds in the Crypto universe. Bloomberg Investigations reporter Zeke

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<v Speaker 2>Fox explains the ultimate financial bubble and the gut wrenching

0:10:51.320 --> 0:10:54.480
<v Speaker 2>scams it's helped to foster across the globe. You're listening

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<v Speaker 2>to Bloomberg BusinessWeek. This is Bloomberg.

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<v Speaker 1>You're listening to the Bloomberg Business This Week Podcast. Catch

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<v Speaker 1>us live weekday afternoons from three to six Eastern Listen.

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<v Speaker 9>On Bloomberg dot com, the iHeartRadio app, and the.

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<v Speaker 1>Bloomberg Business App, or watch us live on YouTube.

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<v Speaker 2>In twenty twenty one, Crypto went mainstream, with celebrity endorsements

0:11:16.240 --> 0:11:19.120
<v Speaker 2>from the likes of Tom Brady to Matt Damon. Investment

0:11:19.120 --> 0:11:21.440
<v Speaker 2>funds were buying it. TV ads hailed it as the

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<v Speaker 2>future of money, and retail traders were making a fortune

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<v Speaker 2>from dogecoin, which was originally created as a joke. Back

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<v Speaker 2>in twenty thirteen, A new book from Bloomberg News financial

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<v Speaker 2>investigations reporter Zeke Fox tries to help us decide whether

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<v Speaker 2>there's anything behind these unusual alternative assets or if it's

0:11:37.679 --> 0:11:41.200
<v Speaker 2>all just a confidence game of epic proportions. Zeke's book

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<v Speaker 2>is called Number Go Up. Inside Crypto's Wild Rise and

0:11:44.640 --> 0:11:47.800
<v Speaker 2>Staggering Fall. He joined me and Bloomberg News Deputy team

0:11:47.880 --> 0:11:50.520
<v Speaker 2>leader for US Equities Jess Metton in our New York

0:11:50.520 --> 0:11:53.559
<v Speaker 2>studios to explain his motivation for taking a two year

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<v Speaker 2>journey around the globe, chasing both true believers and outright fraudsters.

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<v Speaker 10>Ever since I was like a I wanted to write

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<v Speaker 10>like a crazy nonfiction story like I loved like John

0:12:04.120 --> 0:12:08.280
<v Speaker 10>Krackours Into Thin Air or Ben Mezrich's Bringing Down the

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<v Speaker 10>House about the MT Blackjack Kids. But I never found

0:12:12.000 --> 0:12:15.680
<v Speaker 10>a story crazy enough to turn into a whole book.

0:12:15.720 --> 0:12:17.520
<v Speaker 10>Because the last thing I want to do is bore anyone.

0:12:18.000 --> 0:12:22.040
<v Speaker 10>And I got once. I was kind of resistant to crypto,

0:12:22.120 --> 0:12:24.559
<v Speaker 10>but as once I jumped in, I started meeting all

0:12:24.600 --> 0:12:28.199
<v Speaker 10>these like wild billionaires and hustlers and conment and scammers

0:12:28.240 --> 0:12:30.880
<v Speaker 10>and like at some point, maybe when I found myself

0:12:30.920 --> 0:12:35.280
<v Speaker 10>on one crazy crypto billionaire's yacht off the Bahamas, I

0:12:35.360 --> 0:12:39.160
<v Speaker 10>was like, wait, this is the adventure, Like, you're on

0:12:39.200 --> 0:12:41.360
<v Speaker 10>it right now, this is what you got to write about.

0:12:41.640 --> 0:12:44.320
<v Speaker 10>And I've ended up spending two years going down this

0:12:44.440 --> 0:12:45.000
<v Speaker 10>rabbit hole.

0:12:45.520 --> 0:12:45.760
<v Speaker 1>Yeah.

0:12:46.040 --> 0:12:48.040
<v Speaker 10>I don't know that the world will ever see a

0:12:48.080 --> 0:12:50.040
<v Speaker 10>financial mania like this like ever again.

0:12:50.400 --> 0:12:52.079
<v Speaker 2>And we're still in the midst of it too. I mean,

0:12:52.120 --> 0:12:54.120
<v Speaker 2>we see big moves in crypto, not like we saw

0:12:54.120 --> 0:12:55.920
<v Speaker 2>a couple of years ago, zeek. But you know, we're

0:12:56.480 --> 0:12:59.320
<v Speaker 2>we're not done talking about crypto at this point. There's

0:12:59.760 --> 0:13:02.360
<v Speaker 2>a lot that sticks out to me from the book,

0:13:02.360 --> 0:13:04.120
<v Speaker 2>but there's this one quote that I want to read

0:13:04.800 --> 0:13:06.920
<v Speaker 2>to our audience. From the beginning, I had thought that

0:13:07.000 --> 0:13:09.560
<v Speaker 2>crypto was pretty dumb, and it turned out to be

0:13:09.600 --> 0:13:13.280
<v Speaker 2>even dumber than I imagined. So even after spending years

0:13:13.720 --> 0:13:17.200
<v Speaker 2>working on this book talking to crypto billionaires, diving into

0:13:17.360 --> 0:13:20.000
<v Speaker 2>these cryptocurrencies. You still think crypto's dumb.

0:13:20.200 --> 0:13:23.320
<v Speaker 10>I think that if you anyone who's lived through like

0:13:23.360 --> 0:13:26.640
<v Speaker 10>these last couple of years, I don't think we can

0:13:26.760 --> 0:13:29.400
<v Speaker 10>just like memory hole that like all I went to.

0:13:29.480 --> 0:13:31.720
<v Speaker 10>The one of the first places I went was Bitcoin

0:13:31.760 --> 0:13:34.520
<v Speaker 10>twenty twenty one, this big conference in me at Miami,

0:13:34.600 --> 0:13:36.400
<v Speaker 10>right after COVID.

0:13:36.080 --> 0:13:37.920
<v Speaker 2>Restrictions, the one where everybody got COVID.

0:13:38.640 --> 0:13:41.800
<v Speaker 10>Yes, not me. I became convinced after that that I

0:13:41.840 --> 0:13:43.840
<v Speaker 10>was immune to COVID and I would never get COVID.

0:13:43.880 --> 0:13:47.320
<v Speaker 10>But pretty soon after that, I did get COVID. But

0:13:48.080 --> 0:13:52.520
<v Speaker 10>like I'm meeting, some of these guys were really legit

0:13:52.600 --> 0:13:56.199
<v Speaker 10>at the time. Like I met Celsius's Alex Mathshinski. He

0:13:56.240 --> 0:13:59.600
<v Speaker 10>was like talking to everybody and he was promising eighteen

0:13:59.640 --> 0:14:04.000
<v Speaker 10>percent yields if you deposited your savings with his company.

0:14:04.400 --> 0:14:08.640
<v Speaker 10>And he told me when we met, somebody's lying. Either

0:14:08.720 --> 0:14:11.000
<v Speaker 10>the banks are lying that they can only pay zero

0:14:11.040 --> 0:14:14.920
<v Speaker 10>percent or Celsius is lying that we can safely deliver

0:14:15.000 --> 0:14:18.040
<v Speaker 10>eighteen percent. And like a couple of weeks ago, he

0:14:18.120 --> 0:14:23.600
<v Speaker 10>got arrested. Just like a huge number of the founders

0:14:23.640 --> 0:14:27.520
<v Speaker 10>that I met are now facing lawsuits or bankruptcy or

0:14:27.560 --> 0:14:32.160
<v Speaker 10>criminal charges. So well, I do think there probably is

0:14:32.280 --> 0:14:37.000
<v Speaker 10>some good cryptocurrency company out there. I'm not going to

0:14:37.000 --> 0:14:38.760
<v Speaker 10>be the one to spend the effort to sift through

0:14:38.840 --> 0:14:41.320
<v Speaker 10>like another giant pile of scammers to find it.

0:14:42.240 --> 0:14:45.240
<v Speaker 11>Something that struck me too, because you did travel to

0:14:45.360 --> 0:14:48.640
<v Speaker 11>all these different hotspots, from you're in Manhattan to Miami,

0:14:48.720 --> 0:14:51.720
<v Speaker 11>you're in Bahamas, like you mentioned earlier, El Salvador to

0:14:51.760 --> 0:14:54.440
<v Speaker 11>the Philippines, and so you were talking about how that

0:14:54.520 --> 0:14:56.320
<v Speaker 11>you did see a lot of empty hype and a

0:14:56.320 --> 0:14:59.080
<v Speaker 11>lot of scams, And what struck me was this new

0:14:59.320 --> 0:15:02.560
<v Speaker 11>kind of yesmind fraud that you found were it often

0:15:02.600 --> 0:15:04.600
<v Speaker 11>started with a text and it was a scame called

0:15:04.840 --> 0:15:08.280
<v Speaker 11>pig butchering. Explain what that is and how that actually

0:15:08.360 --> 0:15:09.480
<v Speaker 11>ended up happening to you.

0:15:10.200 --> 0:15:14.000
<v Speaker 10>So pig butchering is when someone approaches you with the

0:15:14.000 --> 0:15:17.080
<v Speaker 10>spam text, like we all get them, and it's like, hey, Dave,

0:15:17.200 --> 0:15:19.040
<v Speaker 10>did you get the milk for the cat on your

0:15:19.080 --> 0:15:21.800
<v Speaker 10>way home? Like they don't. They're like a little off right,

0:15:22.040 --> 0:15:24.400
<v Speaker 10>But if you write back, they'll try to make friends

0:15:24.440 --> 0:15:26.800
<v Speaker 10>with you and they'll often the person at the other

0:15:26.920 --> 0:15:30.240
<v Speaker 10>end will pretend to be like an attractive young Asian woman,

0:15:30.800 --> 0:15:35.080
<v Speaker 10>and they'll start dropping hints about they didn't have a

0:15:35.160 --> 0:15:38.680
<v Speaker 10>rich uncle who's able to make these really profitable crypto trades.

0:15:39.240 --> 0:15:42.000
<v Speaker 10>And I started I got one of these texts and

0:15:42.240 --> 0:15:46.480
<v Speaker 10>started playing along and developed a pen pal friendship with

0:15:46.560 --> 0:15:49.200
<v Speaker 10>this person who was saying their name was Vicky Hoe.

0:15:49.760 --> 0:15:55.440
<v Speaker 10>And she eventually told me, hey, buy one hundred tethers,

0:15:55.480 --> 0:15:58.800
<v Speaker 10>which are like a mainstream stable coin you can get

0:15:58.840 --> 0:16:01.120
<v Speaker 10>on coin base or Crypto or any of the like

0:16:01.200 --> 0:16:05.320
<v Speaker 10>normal crypto apps, and send them to this other crypto

0:16:05.360 --> 0:16:09.320
<v Speaker 10>app called zbxs. And Vicky promised me that if I

0:16:09.360 --> 0:16:12.760
<v Speaker 10>did that, she was going to introduce me to profitable

0:16:12.880 --> 0:16:16.800
<v Speaker 10>short term node trades that would generate reliable thirty percent returns.

0:16:17.520 --> 0:16:21.720
<v Speaker 10>And like, we all know this is nonsense, but in

0:16:21.720 --> 0:16:23.920
<v Speaker 10>this like crypto world, like where for a couple of

0:16:23.960 --> 0:16:26.080
<v Speaker 10>years it seemed like anything was possible, a lot of

0:16:26.120 --> 0:16:29.600
<v Speaker 10>people were falling for this. People sent in hundreds of thousands,

0:16:29.760 --> 0:16:34.320
<v Speaker 10>millions of dollars. One expert that I spoke to estimated

0:16:34.400 --> 0:16:36.960
<v Speaker 10>that ten billion dollars have been lost to these crypto

0:16:37.080 --> 0:16:40.160
<v Speaker 10>romance scams. And the crypto plays two roles in it.

0:16:40.200 --> 0:16:42.240
<v Speaker 10>One is It's like it's the story that gets people

0:16:42.280 --> 0:16:44.600
<v Speaker 10>to send their money. And the other thing is that

0:16:45.240 --> 0:16:48.560
<v Speaker 10>you can go on crypto exchanges, acquire these tether tokens

0:16:48.640 --> 0:16:51.800
<v Speaker 10>very easily, and then zap them over and you'll never

0:16:51.800 --> 0:16:54.200
<v Speaker 10>get them back. It's anonymous. There's no way for the

0:16:54.200 --> 0:16:55.520
<v Speaker 10>authorities to trace them.

0:16:55.800 --> 0:16:58.320
<v Speaker 2>This portion of the book that Jessica it just is

0:16:58.360 --> 0:17:01.800
<v Speaker 2>referring to is from was in the book, but we

0:17:01.800 --> 0:17:03.600
<v Speaker 2>also were able to get you to talk to us

0:17:03.600 --> 0:17:06.119
<v Speaker 2>about it. A couple of weeks ago, Zeke was featured

0:17:06.119 --> 0:17:08.840
<v Speaker 2>in the August twenty first issue of Bloomberg Business Week.

0:17:08.880 --> 0:17:12.680
<v Speaker 2>Excerpted in there, you also you know, I got to

0:17:12.680 --> 0:17:15.520
<v Speaker 2>tell you. After our conversation and reading that excerpt, Zeke

0:17:15.600 --> 0:17:18.520
<v Speaker 2>I stopped. I started thinking about those spam texts in

0:17:18.560 --> 0:17:22.480
<v Speaker 2>a completely different way because it's really ugly the truth there.

0:17:22.480 --> 0:17:24.719
<v Speaker 2>I mean, you spoke to somebody who had escaped from

0:17:24.840 --> 0:17:32.879
<v Speaker 2>essentially prison or slavery indentured servitude by cobbling together an iPhone,

0:17:33.359 --> 0:17:35.439
<v Speaker 2>making an iPhone work by essentially hotwiring it.

0:17:35.920 --> 0:17:38.679
<v Speaker 10>Yeah, So that is the really dark part is that

0:17:38.720 --> 0:17:41.480
<v Speaker 10>the people on the other end of these texts are often.

0:17:41.280 --> 0:17:42.040
<v Speaker 2>It's not vicky.

0:17:42.240 --> 0:17:46.040
<v Speaker 10>Yeah, they're like Vicky disappeared, never never found out who

0:17:46.040 --> 0:17:47.800
<v Speaker 10>she was. But what I did find out is that

0:17:47.840 --> 0:17:50.520
<v Speaker 10>a lot of the people sending these messages there are

0:17:51.160 --> 0:17:54.000
<v Speaker 10>people from Southeast Asia who've been tricked into traveling to

0:17:54.080 --> 0:17:57.840
<v Speaker 10>Cambodia and then trapped And like, legitimately sounds like a

0:17:57.840 --> 0:18:00.399
<v Speaker 10>conspiracy theory, but I've seen it with my own eyes,

0:18:00.840 --> 0:18:03.800
<v Speaker 10>huge like office towers filled with floor after a floor

0:18:03.840 --> 0:18:07.439
<v Speaker 10>of people who are sending these spam text messages around

0:18:07.440 --> 0:18:11.359
<v Speaker 10>the clock. So that the person that sent you that

0:18:11.440 --> 0:18:13.840
<v Speaker 10>kind of nonsense text, like, it's not a bot. It

0:18:13.880 --> 0:18:17.840
<v Speaker 10>could be someone who is being threatened with beatings of

0:18:18.000 --> 0:18:22.040
<v Speaker 10>the torture, who would have who can't leave this job

0:18:22.080 --> 0:18:24.639
<v Speaker 10>without paying a ransom And like you said, yeah, well,

0:18:24.640 --> 0:18:27.960
<v Speaker 10>I spoke to Twee, who was victimized in this way

0:18:28.320 --> 0:18:31.960
<v Speaker 10>and had raised money for the ransom from a YouTuber

0:18:32.480 --> 0:18:34.920
<v Speaker 10>And when I spoke to him, he returned to Ho

0:18:35.080 --> 0:18:37.639
<v Speaker 10>Chi Minh City and Vietnam and he told this crazy

0:18:37.720 --> 0:18:40.800
<v Speaker 10>yeah mcguiverage story about how he was able to get

0:18:40.800 --> 0:18:47.720
<v Speaker 10>an iPhone and charge it using no tools and a fluorescent.

0:18:47.200 --> 0:18:49.880
<v Speaker 2>Lamp and he had to smuggle the iPhone in.

0:18:50.880 --> 0:18:53.320
<v Speaker 10>He's so His story was that he had stolen it

0:18:53.320 --> 0:18:57.359
<v Speaker 10>from the guards, but not the charger. He had secreted

0:18:57.400 --> 0:19:00.439
<v Speaker 10>it inside himself, a trick that he learned in prison,

0:19:00.960 --> 0:19:04.159
<v Speaker 10>and that he when he was alone, he took this

0:19:04.280 --> 0:19:08.320
<v Speaker 10>iPhone apart and peeled out the battery and then hotwired

0:19:08.359 --> 0:19:11.800
<v Speaker 10>it to afforest lamp and so very respectfully. When we

0:19:11.800 --> 0:19:15.280
<v Speaker 10>were together in Vietnam, I was like, tweet, I don't

0:19:15.320 --> 0:19:17.679
<v Speaker 10>think you can do that. Like You're like, I'm very

0:19:17.720 --> 0:19:19.560
<v Speaker 10>sorry for what you went through, but like, are you shit?

0:19:19.680 --> 0:19:22.440
<v Speaker 10>Is that really true? And he was like, I'll show

0:19:22.480 --> 0:19:25.320
<v Speaker 10>you right now. We bought an iPhone. He took it

0:19:25.359 --> 0:19:28.760
<v Speaker 10>apart with no tools, took apart a led lamp in

0:19:28.800 --> 0:19:31.919
<v Speaker 10>my hotel room, wired the battery to this lamp, charged

0:19:31.960 --> 0:19:36.159
<v Speaker 10>it and turned it right on. U. Yeah, I was floored.

0:19:37.080 --> 0:19:40.520
<v Speaker 2>That was Bloomberg News Financial Investigations reporter Zeke Fox. Pick

0:19:40.600 --> 0:19:42.720
<v Speaker 2>up a copy of his new book, Number Go Up

0:19:42.920 --> 0:19:46.159
<v Speaker 2>Inside Crypto's Wild Rise and Staggering Fall, And you can

0:19:46.200 --> 0:19:48.560
<v Speaker 2>also get his thoughts on the poort Ape Yacht Club

0:19:48.600 --> 0:19:51.440
<v Speaker 2>by just heading over to our podcast feed. Jess Menton

0:19:51.560 --> 0:19:54.200
<v Speaker 2>sticking with us for the rest of the program still

0:19:54.240 --> 0:19:56.760
<v Speaker 2>had on Bloomberg Business Week. Even if you've been able

0:19:56.760 --> 0:19:59.280
<v Speaker 2>to avoid crypto related fraud up to now, there are

0:19:59.320 --> 0:20:01.920
<v Speaker 2>still some other to be aware of in the digital world,

0:20:02.200 --> 0:20:03.800
<v Speaker 2>especially when it comes to AI.

0:20:04.240 --> 0:20:06.600
<v Speaker 4>Cyber professionals have to be right one hundred percent of

0:20:06.640 --> 0:20:09.280
<v Speaker 4>the time, and bad guys only have to be right

0:20:09.440 --> 0:20:12.399
<v Speaker 4>once in order to get inside of your defenses.

0:20:12.760 --> 0:20:15.720
<v Speaker 2>We'll break it down when we come back. This is Bloomberg.

0:20:17.000 --> 0:20:20.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:20.600 --> 0:20:24.720
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:20:24.800 --> 0:20:28.080
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:20:28.200 --> 0:20:31.280
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:20:31.760 --> 0:20:34.520
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:20:35.800 --> 0:20:38.280
<v Speaker 12>The reason that I've been such a pretty cool AI

0:20:38.359 --> 0:20:41.840
<v Speaker 12>safety in advance of sort of anything terrible happening is

0:20:41.880 --> 0:20:45.840
<v Speaker 12>that I think the consequences of AI going wrong are

0:20:46.000 --> 0:20:49.880
<v Speaker 12>our sphere, so we have to be proactive rather than reactive.

0:20:50.320 --> 0:20:52.440
<v Speaker 2>That was the voice of Elon Musk. He's been among

0:20:52.480 --> 0:20:55.399
<v Speaker 2>the people calling for regulatory guidelines when it comes to

0:20:55.480 --> 0:20:58.320
<v Speaker 2>artificial intelligence, and he was on Capitol Hill this past

0:20:58.359 --> 0:21:01.359
<v Speaker 2>week to discuss the potential society risks posed by the

0:21:01.400 --> 0:21:04.560
<v Speaker 2>nascent technology. The world's richest man was among more than

0:21:04.600 --> 0:21:07.440
<v Speaker 2>twenty tch and civil society leaders attending a closed door

0:21:07.480 --> 0:21:11.520
<v Speaker 2>Senate summit on Wednesday that focused on AI. Meantime, many

0:21:11.560 --> 0:21:14.159
<v Speaker 2>companies are trying to gauge its impact on cybersecurity in

0:21:14.160 --> 0:21:18.400
<v Speaker 2>the workplace, especially since generative AI applications continue to evolve.

0:21:18.720 --> 0:21:20.760
<v Speaker 2>Jess Menton and I have the perfect guest with us

0:21:20.800 --> 0:21:22.600
<v Speaker 2>to help answer these burning questions.

0:21:22.960 --> 0:21:28.280
<v Speaker 11>Dana zimbercov chief Risk, Privacy and Information Security officer at

0:21:28.320 --> 0:21:31.399
<v Speaker 11>a Point, joining us on Zoom from New Hampshire to

0:21:31.560 --> 0:21:35.520
<v Speaker 11>explain why the cybersecurity industry isn't ready for the AI

0:21:35.560 --> 0:21:39.400
<v Speaker 11>boom and what guardrails companies should use to protect their

0:21:39.760 --> 0:21:43.400
<v Speaker 11>employees data. Thanks so much for joining us. As always,

0:21:43.560 --> 0:21:45.280
<v Speaker 11>I want to get your thoughts on that, because when

0:21:45.320 --> 0:21:48.680
<v Speaker 11>we are discussing, like Tim and myself about this AI boom,

0:21:48.760 --> 0:21:51.640
<v Speaker 11>why is it that cybersecurity companies may not be ready

0:21:51.680 --> 0:21:52.480
<v Speaker 11>for this just yet?

0:21:52.800 --> 0:21:56.320
<v Speaker 4>I think AI is just yet another obstacle in the

0:21:56.400 --> 0:21:59.520
<v Speaker 4>road to looking for that perfect security solution that just

0:21:59.560 --> 0:22:03.960
<v Speaker 4>doesn't at this out there honestly so. Artificial intelligence and

0:22:04.040 --> 0:22:07.760
<v Speaker 4>sort of the deep learning that is coming through technologies

0:22:07.880 --> 0:22:14.000
<v Speaker 4>like GBT really puts cyber professionals on edge, because this

0:22:14.160 --> 0:22:18.560
<v Speaker 4>is just one more ripple in the world we live

0:22:18.600 --> 0:22:21.520
<v Speaker 4>in where cyber professionals have to be right one hundred

0:22:21.520 --> 0:22:24.679
<v Speaker 4>percent of the time and bad guys only have to

0:22:24.680 --> 0:22:28.399
<v Speaker 4>be right once in order to get inside of your defenses.

0:22:28.560 --> 0:22:30.879
<v Speaker 2>And there's a shortage of bad guys out there, Dana,

0:22:30.880 --> 0:22:33.119
<v Speaker 2>as we as we certainly know. So what's the worst

0:22:33.119 --> 0:22:35.840
<v Speaker 2>case scenario here? I mean, describe for us what kind

0:22:35.880 --> 0:22:37.479
<v Speaker 2>of keeps you up at night, what makes you scared?

0:22:37.920 --> 0:22:42.159
<v Speaker 4>Well, I think that really the secret to building a

0:22:42.200 --> 0:22:45.080
<v Speaker 4>good program and addressing this is really to go back

0:22:45.119 --> 0:22:47.720
<v Speaker 4>to cyber hygiene basics, doing what we do every day,

0:22:47.760 --> 0:22:50.040
<v Speaker 4>which is making sure that we have good data governance

0:22:50.080 --> 0:22:55.359
<v Speaker 4>in place within our companies and across our partner ecosystems.

0:22:55.440 --> 0:22:58.840
<v Speaker 4>Because if you know what information you're handling, if you

0:22:58.920 --> 0:23:01.600
<v Speaker 4>know what it is, where it is, who can access it,

0:23:01.640 --> 0:23:04.640
<v Speaker 4>and how it's being shared, then you can largely mitigate

0:23:04.640 --> 0:23:07.280
<v Speaker 4>some of the risks that are associated with AI. It

0:23:07.280 --> 0:23:12.240
<v Speaker 4>does come down to people, policy and technology. So there

0:23:12.240 --> 0:23:16.560
<v Speaker 4>really is no bad technology, just bad use of technology.

0:23:16.600 --> 0:23:20.359
<v Speaker 11>And when you're talking about cybersecurity, are there particular sub

0:23:20.359 --> 0:23:23.120
<v Speaker 11>industries or companies that you think might potentially be more

0:23:23.160 --> 0:23:24.159
<v Speaker 11>vulnerable than others.

0:23:24.560 --> 0:23:27.800
<v Speaker 4>Well, I certainly think that the ability for again those

0:23:27.880 --> 0:23:34.600
<v Speaker 4>malicious bad actors to use AI to potentially perpetrate cybercrime

0:23:34.720 --> 0:23:38.840
<v Speaker 4>take advantage of insiders inside of a company to really

0:23:39.800 --> 0:23:43.160
<v Speaker 4>accelerate the process of cyber attacks. We've already seen through

0:23:43.359 --> 0:23:47.439
<v Speaker 4>phishing and smishing where somebody receives a phone call or

0:23:47.440 --> 0:23:50.119
<v Speaker 4>a text message saying that they are an executive that

0:23:50.160 --> 0:23:52.960
<v Speaker 4>need help right away. Just imagine that amplified with the

0:23:53.000 --> 0:23:57.280
<v Speaker 4>ability to actually fake person over video, these deep fakes

0:23:57.280 --> 0:24:00.480
<v Speaker 4>that we've been hearing about, where a person's image voice

0:24:00.480 --> 0:24:01.840
<v Speaker 4>could be easily replicated.

0:24:02.440 --> 0:24:06.000
<v Speaker 2>H Dana, I'm you said phishing. We all know about phishing.

0:24:06.320 --> 0:24:08.120
<v Speaker 2>Did you say smishing smishing?

0:24:08.240 --> 0:24:13.080
<v Speaker 4>Yes, that's smishing is using using a text message or

0:24:13.200 --> 0:24:16.200
<v Speaker 4>some kind of social media. So whether it's WhatsApp, your

0:24:16.200 --> 0:24:19.879
<v Speaker 4>own or you know, just pretending to be somebody that

0:24:19.880 --> 0:24:23.280
<v Speaker 4>you're not and using technology to get to an intended target.

0:24:23.320 --> 0:24:25.680
<v Speaker 4>And this is really common. We see it a lot

0:24:26.160 --> 0:24:29.520
<v Speaker 4>both inside of our company, as you know, as we

0:24:29.600 --> 0:24:33.160
<v Speaker 4>build our own cyber defenses, but also across our customer

0:24:33.200 --> 0:24:37.720
<v Speaker 4>ecosystem where it really isn't just what you know, but

0:24:37.840 --> 0:24:40.960
<v Speaker 4>who you are that makes you a target potentially within

0:24:40.960 --> 0:24:41.359
<v Speaker 4>a company.

0:24:41.440 --> 0:24:42.679
<v Speaker 2>Yeah, I didn't know that what it was. That's what

0:24:42.680 --> 0:24:44.359
<v Speaker 2>it was called. We had a great cover story an

0:24:44.359 --> 0:24:47.440
<v Speaker 2>excerpt from Zeke Fox's book Number Go Up that talked

0:24:47.440 --> 0:24:49.920
<v Speaker 2>all about where those text messages actually come from. I

0:24:49.920 --> 0:24:52.800
<v Speaker 2>also encourage everybody listening who's interested to go check that

0:24:52.840 --> 0:24:54.440
<v Speaker 2>one out. It was just a couple of weeks ago.

0:24:54.840 --> 0:24:56.600
<v Speaker 2>Uh okay, So, Dana, what about when it comes to

0:24:56.640 --> 0:24:58.560
<v Speaker 2>I mean, when I think about the worst case scenario,

0:24:58.640 --> 0:25:01.480
<v Speaker 2>I mean I understand, like I consider myself pretty savvy

0:25:01.520 --> 0:25:04.800
<v Speaker 2>when it comes to uh not answering those phishing emails.

0:25:04.800 --> 0:25:06.680
<v Speaker 2>And we certainly get trained pretty well here at Bloomberg,

0:25:06.720 --> 0:25:08.520
<v Speaker 2>and I think a lot of companies do that in

0:25:08.520 --> 0:25:09.040
<v Speaker 2>this day and age.

0:25:09.080 --> 0:25:10.760
<v Speaker 11>It's into some trick emails at times.

0:25:10.800 --> 0:25:13.200
<v Speaker 2>Just if we get caught, yeah they do. You got

0:25:13.200 --> 0:25:15.840
<v Speaker 2>to you got to be vigilant. I think my concern, though,

0:25:15.920 --> 0:25:19.359
<v Speaker 2>is is is how generative AI sort of changes that,

0:25:19.440 --> 0:25:21.640
<v Speaker 2>and it makes it so it's like really not possible

0:25:21.640 --> 0:25:24.679
<v Speaker 2>to distinguish what is real and what isn't real. So

0:25:24.680 --> 0:25:27.320
<v Speaker 2>so let's say that the weakest link is always the person.

0:25:27.680 --> 0:25:30.000
<v Speaker 2>Where do companies like as point come in to to

0:25:30.080 --> 0:25:31.240
<v Speaker 2>try to stop that from happening.

0:25:31.640 --> 0:25:33.800
<v Speaker 4>Well, I think at the end of the day, it

0:25:33.880 --> 0:25:37.840
<v Speaker 4>really is going to come down to not only identity,

0:25:38.880 --> 0:25:42.119
<v Speaker 4>but also technology and what we allow individuals to do. So,

0:25:42.920 --> 0:25:44.560
<v Speaker 4>just in the same way we've been talking over the

0:25:44.600 --> 0:25:47.199
<v Speaker 4>last really couple of years with covid about now the

0:25:47.240 --> 0:25:51.679
<v Speaker 4>borderless office, where employs are working really from anywhere in

0:25:51.680 --> 0:25:55.840
<v Speaker 4>the world, their home, Starbucks, you know, the office. That

0:25:55.920 --> 0:25:58.800
<v Speaker 4>means that there's no perimeter around the office that you

0:25:58.840 --> 0:26:01.359
<v Speaker 4>can protect, and so identity really has become that new

0:26:01.400 --> 0:26:03.960
<v Speaker 4>perimeter to a great extent, and making sure that you

0:26:04.119 --> 0:26:06.760
<v Speaker 4>know who you're talking to and who you are is

0:26:06.800 --> 0:26:10.560
<v Speaker 4>going to be critical. And limiting the ability for somebody

0:26:10.560 --> 0:26:13.320
<v Speaker 4>to move either horizontally or vertically within a company if

0:26:13.320 --> 0:26:16.159
<v Speaker 4>they are impersonated, is going to really help sort of

0:26:16.200 --> 0:26:18.720
<v Speaker 4>fill that gap and protect against that kind of risk.

0:26:19.160 --> 0:26:21.720
<v Speaker 11>We actually did hear from z Scaler and I did

0:26:21.720 --> 0:26:25.159
<v Speaker 11>report earnings and their forecast for EPs did beat estimates.

0:26:25.200 --> 0:26:28.720
<v Speaker 11>But of course, when it comes to a cloud cybersecurity

0:26:28.720 --> 0:26:31.760
<v Speaker 11>company like this, how does cloud play into this And

0:26:31.840 --> 0:26:33.560
<v Speaker 11>when it comes to AI as well and some of

0:26:33.600 --> 0:26:34.800
<v Speaker 11>your concerns.

0:26:34.480 --> 0:26:37.080
<v Speaker 4>Well, cloud is both an opportunity and a risk. That

0:26:37.200 --> 0:26:40.159
<v Speaker 4>certainly a point as a as a cloud first company

0:26:40.160 --> 0:26:43.080
<v Speaker 4>providing services to you know, millions of our customers around

0:26:43.080 --> 0:26:45.639
<v Speaker 4>the world, takes advantage of a lot of the build

0:26:45.680 --> 0:26:49.119
<v Speaker 4>in security controls that exist through our partners like Microsoft

0:26:49.119 --> 0:26:52.800
<v Speaker 4>and others. There's also real opportunity with AI and the

0:26:52.800 --> 0:26:57.040
<v Speaker 4>cloud to benefit from, you know, the kind of machine

0:26:57.080 --> 0:26:59.960
<v Speaker 4>learning and intelligence that could also be used to fight cybercrimes.

0:27:00.200 --> 0:27:02.439
<v Speaker 4>So I think there are tremendous opportunities that the cloud

0:27:02.440 --> 0:27:04.239
<v Speaker 4>brings are really at the end of the day at

0:27:04.240 --> 0:27:09.040
<v Speaker 4>somebody else's computer, and so that good data hygiene data

0:27:09.080 --> 0:27:11.000
<v Speaker 4>governance is going to be critical to making sure that

0:27:11.040 --> 0:27:14.040
<v Speaker 4>whether you're in the cloud or on premise, that you're

0:27:14.119 --> 0:27:16.000
<v Speaker 4>really doing the right things to protect your business and

0:27:16.040 --> 0:27:16.680
<v Speaker 4>your data.

0:27:16.880 --> 0:27:18.320
<v Speaker 2>Is there a future for on premise or is it

0:27:18.359 --> 0:27:18.960
<v Speaker 2>all in the cloud?

0:27:19.320 --> 0:27:22.159
<v Speaker 4>Well, hard to say. I think, you know, the cloud

0:27:22.200 --> 0:27:26.240
<v Speaker 4>is certainly the future. It's the wave, it's the direction

0:27:26.320 --> 0:27:29.680
<v Speaker 4>that we see companies moving more and more. I think

0:27:29.680 --> 0:27:32.800
<v Speaker 4>that there will likely always be some hybrid environments, and

0:27:32.880 --> 0:27:35.280
<v Speaker 4>depending on your industry, depending on the kind of information

0:27:35.400 --> 0:27:38.960
<v Speaker 4>you have cloud is not always possible, but we'll see now.

0:27:39.000 --> 0:27:41.120
<v Speaker 4>You never say never, and I think it's always good

0:27:41.160 --> 0:27:42.080
<v Speaker 4>to head your bets.

0:27:42.560 --> 0:27:46.360
<v Speaker 11>Whenever you speak to companies, what is their biggest concern

0:27:46.440 --> 0:27:46.800
<v Speaker 11>right now?

0:27:47.520 --> 0:27:50.080
<v Speaker 4>Well, again, I think it is knowing where that data is.

0:27:50.119 --> 0:27:54.200
<v Speaker 4>It's that unknown, that risk of not knowing is never better.

0:27:54.600 --> 0:27:57.640
<v Speaker 4>And so you know, the challenge for AI is clearly

0:27:57.720 --> 0:28:00.560
<v Speaker 4>that you can have a machine outpacing you rapidly. We

0:28:00.600 --> 0:28:03.399
<v Speaker 4>now see that our computers regularly are asking us to

0:28:03.400 --> 0:28:05.960
<v Speaker 4>prove that we're human by answering thinks like captures when

0:28:05.960 --> 0:28:10.440
<v Speaker 4>you go to websites, will computers outpace humans at some point?

0:28:10.480 --> 0:28:10.840
<v Speaker 9>Maybe?

0:28:10.880 --> 0:28:14.240
<v Speaker 4>I think again, for cybersecurity and privacy professionals, it's building

0:28:14.280 --> 0:28:17.200
<v Speaker 4>accountability into the way that we use data, making sure

0:28:17.240 --> 0:28:20.680
<v Speaker 4>that there's good transparency with our customers, and making sure

0:28:20.680 --> 0:28:22.600
<v Speaker 4>that we're really, you know, doing the right thing to

0:28:22.760 --> 0:28:26.439
<v Speaker 4>maximize the opportunity for businesses to do what they should

0:28:26.440 --> 0:28:29.560
<v Speaker 4>be doing while protecting the rights of individuals and data subjects.

0:28:29.600 --> 0:28:30.919
<v Speaker 2>I don't know, just do you have any ever have

0:28:30.960 --> 0:28:33.600
<v Speaker 2>a problem with those captures. I feel like they're they're

0:28:33.640 --> 0:28:36.840
<v Speaker 2>already the captures have already outsmarted me. You know, I'm

0:28:36.840 --> 0:28:38.680
<v Speaker 2>talking about wright those things.

0:28:39.480 --> 0:28:41.400
<v Speaker 9>Yeah, yeah, come.

0:28:41.280 --> 0:28:43.600
<v Speaker 11>On, I mean, I mean, I honestly like one time

0:28:43.640 --> 0:28:46.080
<v Speaker 11>I got one of those Bloomberg emails and accidentally clicked

0:28:46.080 --> 0:28:47.440
<v Speaker 11>it on something. Then I had to go back through

0:28:47.440 --> 0:28:50.520
<v Speaker 11>and do all of the training. So I'm super vigilant now.

0:28:50.360 --> 0:28:51.400
<v Speaker 12>And not to bust it.

0:28:51.480 --> 0:28:52.960
<v Speaker 2>You only make that mistake once, I.

0:28:52.920 --> 0:28:54.880
<v Speaker 11>Know exactly, so never again after doing that.

0:28:55.400 --> 0:28:56.560
<v Speaker 13>Well, that's that's good.

0:28:56.680 --> 0:28:57.800
<v Speaker 4>That's good hyber training.

0:28:58.160 --> 0:29:01.520
<v Speaker 2>That was Dana Simbercoff, chief Risk, Privacy and Information Security

0:29:01.560 --> 0:29:05.240
<v Speaker 2>officer at AFPOINT. You're listening to Bloomberg Business Week Up next.

0:29:05.280 --> 0:29:08.360
<v Speaker 2>Apple just unveiling the iPhone fifteen this week, but not

0:29:08.480 --> 0:29:11.960
<v Speaker 2>before Chinese telecom giant Huawei released its own advanced mobile

0:29:11.960 --> 0:29:14.520
<v Speaker 2>phone that uses tech the US has sought to keep

0:29:14.560 --> 0:29:15.920
<v Speaker 2>out of Beijing's hands.

0:29:16.200 --> 0:29:18.360
<v Speaker 14>They have been able to make some sort of breakthroughs

0:29:18.440 --> 0:29:21.000
<v Speaker 14>to tech levels that the US was trying to avoid

0:29:21.040 --> 0:29:22.960
<v Speaker 14>them to getting. And just to be clear, this isn't

0:29:23.000 --> 0:29:25.479
<v Speaker 14>just so much that they don't want them necessarily compete

0:29:25.480 --> 0:29:29.480
<v Speaker 14>with the iPhone or Apple or other US manufacturers or

0:29:29.520 --> 0:29:33.760
<v Speaker 14>allies in terms of selling phones. It's really a concern

0:29:34.200 --> 0:29:37.960
<v Speaker 14>about economic security as well with military security. Worried that

0:29:38.000 --> 0:29:40.960
<v Speaker 14>some of these tips and some of this technology that

0:29:41.000 --> 0:29:43.720
<v Speaker 14>they could make breakthroughs on will be used in a

0:29:43.760 --> 0:29:46.920
<v Speaker 14>way they could be quite competitive militarily insecurity wise.

0:29:47.040 --> 0:29:49.920
<v Speaker 2>With the US, we go from cybersecurity concerns at the

0:29:49.960 --> 0:29:53.200
<v Speaker 2>corporate level to a technological arms race on a global scale.

0:29:53.480 --> 0:29:54.640
<v Speaker 2>This is Bloomberg.

0:29:54.880 --> 0:29:58.400
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:29:58.480 --> 0:30:01.960
<v Speaker 1>live weekday afternoons for from three to six Eastern Listen.

0:30:01.720 --> 0:30:04.680
<v Speaker 9>On Bloomberg dot com, the iHeartRadio app, and.

0:30:04.600 --> 0:30:08.880
<v Speaker 1>The Bloomberg Business app, or watch US Live on YouTube.

0:30:08.960 --> 0:30:12.280
<v Speaker 2>The excitement surrounding the iPhone fifteen's unveiling this past week

0:30:12.360 --> 0:30:15.800
<v Speaker 2>was palpable for Apple loyalists around the world. Accepted one

0:30:15.880 --> 0:30:20.120
<v Speaker 2>key market, China. Officials there are claiming to have experienced

0:30:20.120 --> 0:30:24.320
<v Speaker 2>so called security incidents with prior models. Bloomberg News reported

0:30:24.320 --> 0:30:26.400
<v Speaker 2>this month that China plans to widen a ban on

0:30:26.440 --> 0:30:28.560
<v Speaker 2>the use of iPhones to a number of state backed

0:30:28.560 --> 0:30:31.840
<v Speaker 2>companies and agencies. The White House says it's a retaliatory

0:30:31.880 --> 0:30:35.480
<v Speaker 2>move against the US, and even before Apple's latest product launch,

0:30:35.600 --> 0:30:38.040
<v Speaker 2>Huawei had already begun pre sales of its new Mate

0:30:38.080 --> 0:30:41.040
<v Speaker 2>sixty pro phone, which uses technology the US has sought

0:30:41.080 --> 0:30:43.560
<v Speaker 2>to keep out of Beijing's hands. Jess Menton and I

0:30:43.640 --> 0:30:47.440
<v Speaker 2>spoke with Bloomberg News senior editor Ramsey Albercabi and Businessweeks

0:30:47.520 --> 0:30:49.959
<v Speaker 2>Joe Weber for a read on the Chinese telecom giants'

0:30:50.000 --> 0:30:50.960
<v Speaker 2>surprise development.

0:30:51.240 --> 0:30:54.680
<v Speaker 3>All this news came from a Bloomberg teardown of a

0:30:54.760 --> 0:30:58.719
<v Speaker 3>Wadwei phone that revealed China had made significant advances on

0:30:58.760 --> 0:31:03.920
<v Speaker 3>the chip front, and it put some attention on sanctions,

0:31:03.920 --> 0:31:06.560
<v Speaker 3>which have been obviously a huge weapon that the US

0:31:07.040 --> 0:31:11.080
<v Speaker 3>has used not just to perhaps try and slow China down,

0:31:11.160 --> 0:31:14.160
<v Speaker 3>but also in Russia and in Ramsey, the thing that

0:31:14.200 --> 0:31:18.240
<v Speaker 3>came to mind was just that perhaps the sanctions were

0:31:18.400 --> 0:31:20.960
<v Speaker 3>an inevitable thing that would only work for a while, right.

0:31:21.200 --> 0:31:21.360
<v Speaker 11>Yeah.

0:31:21.680 --> 0:31:25.200
<v Speaker 14>The timing of it was really noteworthy to because it

0:31:25.320 --> 0:31:27.720
<v Speaker 14>came just on the end of a visit by the

0:31:27.760 --> 0:31:31.720
<v Speaker 14>Commerce Secretary Tina Romando and her department, particularly the Bureau

0:31:31.760 --> 0:31:34.280
<v Speaker 14>of Industry and Security, are the ones that manage all

0:31:34.320 --> 0:31:37.560
<v Speaker 14>of the tech control tech export controls that are put

0:31:37.640 --> 0:31:39.720
<v Speaker 14>in place to try to keep this sort of technology

0:31:39.720 --> 0:31:42.360
<v Speaker 14>out of China's hands. So the day that she's taking off,

0:31:42.680 --> 0:31:45.560
<v Speaker 14>they quietly start selling this phone, which they'll send a

0:31:45.560 --> 0:31:48.320
<v Speaker 14>clear message that they have been able to make some

0:31:48.320 --> 0:31:51.000
<v Speaker 14>sort of breakthroughs to tech levels that the US was

0:31:51.240 --> 0:31:53.480
<v Speaker 14>trying to avoid them to getting. And just to be clear,

0:31:53.520 --> 0:31:55.560
<v Speaker 14>this isn't just so much that they don't want them

0:31:55.600 --> 0:31:59.480
<v Speaker 14>necessarily compete with the iPhone or Apple or other US

0:31:59.520 --> 0:32:04.160
<v Speaker 14>manufacturer or allies in terms of selling phones. It's really

0:32:04.160 --> 0:32:08.320
<v Speaker 14>a concern about economic scurity as well with military security.

0:32:08.480 --> 0:32:11.120
<v Speaker 14>Worried that some of these tips and some of this

0:32:11.200 --> 0:32:14.200
<v Speaker 14>technology that they could make breakthroughs on will be used

0:32:14.480 --> 0:32:17.440
<v Speaker 14>in a way they can be quite competitive militarily insecurity

0:32:17.440 --> 0:32:18.480
<v Speaker 14>wise with the US.

0:32:18.960 --> 0:32:22.480
<v Speaker 11>Ramsey, I'm curious, how could this potentially escalate some of

0:32:22.480 --> 0:32:25.440
<v Speaker 11>the tensions when we're thinking about what's already there right

0:32:25.440 --> 0:32:27.360
<v Speaker 11>now between the US and China.

0:32:27.680 --> 0:32:29.800
<v Speaker 14>The thing is that I get back to Raymondo. She

0:32:29.880 --> 0:32:31.800
<v Speaker 14>was on the tail end of a series of visits.

0:32:31.800 --> 0:32:34.480
<v Speaker 14>There was Blinkeln had gone, Yellen had gone, John Carry

0:32:34.480 --> 0:32:37.280
<v Speaker 14>had gone, There was there was an effort by the

0:32:37.320 --> 0:32:40.960
<v Speaker 14>Bido administration to sort of ease some of the tensions.

0:32:41.760 --> 0:32:43.560
<v Speaker 14>And what happens though once it comes out, you're going

0:32:43.600 --> 0:32:45.960
<v Speaker 14>to have a lot of pressure domestically to do more

0:32:46.240 --> 0:32:49.280
<v Speaker 14>of the particularly in the House the GOP, with like

0:32:49.360 --> 0:32:54.080
<v Speaker 14>McCall and gallagher calling for stronger sanctions, stronger reactions, the

0:32:54.120 --> 0:32:57.719
<v Speaker 14>stronger response from the administration clamp down on some of

0:32:57.760 --> 0:33:00.520
<v Speaker 14>the experts that are still allowed to some of these companies.

0:33:00.840 --> 0:33:04.040
<v Speaker 14>So that kind of uh can can kind of heat

0:33:04.120 --> 0:33:06.640
<v Speaker 14>up those tensions again on the commerce side of things

0:33:06.680 --> 0:33:08.800
<v Speaker 14>that I think the the White House is hoping could

0:33:09.120 --> 0:33:11.440
<v Speaker 14>could uh it could keep a keep a lid on.

0:33:11.720 --> 0:33:16.160
<v Speaker 3>Okay, So what about uh uh the chips that came

0:33:16.200 --> 0:33:18.800
<v Speaker 3>from like South Korea that ended up in the phone,

0:33:18.840 --> 0:33:21.080
<v Speaker 3>what what is the what's the US feel about that?

0:33:21.520 --> 0:33:23.640
<v Speaker 14>Well? I think the the s K high next memory

0:33:23.720 --> 0:33:27.800
<v Speaker 14>chip took x K hinex by by surprise too. I

0:33:27.840 --> 0:33:30.440
<v Speaker 14>don't I think that they don't know how Huawei got

0:33:30.480 --> 0:33:32.560
<v Speaker 14>a hold of those. Uh So that's a that's a

0:33:32.640 --> 0:33:34.080
<v Speaker 14>question I have to look into, and the and the

0:33:34.240 --> 0:33:37.040
<v Speaker 14>in the U S is you know, investigating the where

0:33:37.040 --> 0:33:39.280
<v Speaker 14>these chips came from on the China side, on the

0:33:39.400 --> 0:33:41.400
<v Speaker 14>on the Korea side, and we had Jakes all have

0:33:41.440 --> 0:33:44.080
<v Speaker 14>been quite recently saying that a matter of time, they're

0:33:44.080 --> 0:33:46.360
<v Speaker 14>gonna they're looking into this and talk to their their

0:33:46.400 --> 0:33:48.920
<v Speaker 14>They said, consult their partners. I'm assuming they mean South

0:33:49.000 --> 0:33:51.440
<v Speaker 14>Koreans as well as the Dutch and the Japanese who

0:33:51.760 --> 0:33:54.040
<v Speaker 14>who sort of who build some of the technology needed

0:33:54.040 --> 0:33:56.440
<v Speaker 14>to make these chips and uh, and then they'll said,

0:33:56.480 --> 0:33:59.160
<v Speaker 14>we'll make decisions accordingly. So I think, uh, you know

0:33:59.200 --> 0:34:02.600
<v Speaker 14>this topic here. Yeah, they're trying to try to figure

0:34:02.600 --> 0:34:05.640
<v Speaker 14>out where, you know, what's out there, what's happening. And

0:34:05.640 --> 0:34:08.440
<v Speaker 14>then they'll also try to hopefully wait for this domestic

0:34:08.440 --> 0:34:11.320
<v Speaker 14>political heat to cool off before they decide their next step.

0:34:11.400 --> 0:34:14.400
<v Speaker 2>That was Bloomberg News Senior editor Ramsey Albracabbi with me

0:34:14.440 --> 0:34:17.040
<v Speaker 2>and Jess Metton. Joe Webber will be sticking with us

0:34:17.080 --> 0:34:19.400
<v Speaker 2>for our next couple of stories, and that wraps up

0:34:19.440 --> 0:34:21.560
<v Speaker 2>the first hour of the weekend edition of Bloomberg Business

0:34:21.600 --> 0:34:24.160
<v Speaker 2>Week from Bloomberg Radio. Coming up in our next hour,

0:34:24.320 --> 0:34:28.080
<v Speaker 2>we'll detail the remarkable true story of America's first women astronauts,

0:34:28.239 --> 0:34:31.279
<v Speaker 2>plus the CEO of J. C. Penny talks renewal and

0:34:31.320 --> 0:34:35.720
<v Speaker 2>reinvestment at the previously bankrupt retailer, and how MSG boss

0:34:35.800 --> 0:34:39.240
<v Speaker 2>James Dolan turned his notepad sketch into a multi billion

0:34:39.280 --> 0:34:42.919
<v Speaker 2>dollar entertainment venue in the heart of Las Vegas. This

0:34:43.120 --> 0:34:46.040
<v Speaker 2>is Bloomberg Business Week. I'm Tim Stenovec. Stay with us.

0:34:46.040 --> 0:34:48.719
<v Speaker 2>Today's top stories and global business headlines are coming up.

0:34:48.880 --> 0:34:53.160
<v Speaker 1>Right now, you're listening to the Bloomberg Business Week Podcast.

0:34:53.360 --> 0:34:56.439
<v Speaker 1>Catch us live weekday afternoons from three to six Easter

0:34:56.760 --> 0:35:00.520
<v Speaker 1>on Bloomberg Radio, the Bloomberg Business app and you. You

0:35:00.560 --> 0:35:03.840
<v Speaker 1>can also listen live on Amazon Alexa from our flagship

0:35:03.880 --> 0:35:07.800
<v Speaker 1>New York station Just Say Alexa Play Bloomberg eleven thirty.

0:35:09.400 --> 0:35:11.960
<v Speaker 2>Tim Stenevic and Jess metting with you plenty ahead in

0:35:12.000 --> 0:35:14.879
<v Speaker 2>our second hour of the weekend edition of Bloomberg Business Week,

0:35:15.120 --> 0:35:17.560
<v Speaker 2>including the CEO of J. C. Penny on bringing the

0:35:17.560 --> 0:35:21.440
<v Speaker 2>embattled retailer back from near extinction and James Dolan's ten

0:35:21.520 --> 0:35:24.719
<v Speaker 2>figure bid to leave his mark on the future of entertainment.

0:35:25.200 --> 0:35:27.719
<v Speaker 2>First up this hour, a bit of history. Back in

0:35:27.800 --> 0:35:31.040
<v Speaker 2>nineteen seventy seven, more than eight thousand applied and six

0:35:31.040 --> 0:35:34.520
<v Speaker 2>were chosen. The six Sally Rye, Judy Resnick Anna Fisher,

0:35:34.600 --> 0:35:38.759
<v Speaker 2>Kathy Sullivan, Shannon Lucid and Rhea Seddin were America's first

0:35:38.760 --> 0:35:41.439
<v Speaker 2>women astronauts, and they're the subject of a new book

0:35:41.440 --> 0:35:45.000
<v Speaker 2>from Bloomberg News space reporter Lauren Grush. It's called The

0:35:45.040 --> 0:35:48.920
<v Speaker 2>Six The Untold Story of America's First Women Astronauts. An

0:35:48.920 --> 0:35:51.120
<v Speaker 2>excerpt of the book was published in the August twenty

0:35:51.120 --> 0:35:53.719
<v Speaker 2>eighth issue of the magazine, and this past week, Jess

0:35:53.719 --> 0:35:56.840
<v Speaker 2>and I welcomed BusinessWeek editor Joe Weber and Lauren into

0:35:56.880 --> 0:35:59.480
<v Speaker 2>our New York studios to discuss the project, along with

0:35:59.520 --> 0:36:00.920
<v Speaker 2>the author's unique background.

0:36:01.120 --> 0:36:03.560
<v Speaker 15>So, I'm actually a bit of a NASA baby. Both

0:36:03.560 --> 0:36:06.160
<v Speaker 15>of my parents worked on the Space Shuttle program, which

0:36:06.239 --> 0:36:08.920
<v Speaker 15>is you know, makes a big appearance in the book.

0:36:09.400 --> 0:36:12.399
<v Speaker 15>My mother was the deputy orbiter chief engineer, and then

0:36:12.440 --> 0:36:15.960
<v Speaker 15>my father helmed up the propulsion branch before he retired.

0:36:16.000 --> 0:36:18.400
<v Speaker 15>And so I very much, you know, I grew up

0:36:18.400 --> 0:36:22.040
<v Speaker 15>with the Space Shuttle. I lived outside of Houston. It

0:36:22.080 --> 0:36:24.480
<v Speaker 15>really was like a full circle moment getting to report

0:36:24.480 --> 0:36:27.320
<v Speaker 15>on it and go back to kind of my childhood roots.

0:36:27.680 --> 0:36:29.600
<v Speaker 3>The part that we wanted to talk about in the

0:36:29.600 --> 0:36:33.600
<v Speaker 3>book was specifically about Sally Ride, and when you worked

0:36:33.600 --> 0:36:35.480
<v Speaker 3>on that part of the book, like, I'm curious, like

0:36:35.600 --> 0:36:38.960
<v Speaker 3>there's an element that still resonates today, and I'm curious,

0:36:39.000 --> 0:36:41.839
<v Speaker 3>like walk us through why Sally Ride matters all these

0:36:41.920 --> 0:36:42.359
<v Speaker 3>years later.

0:36:42.680 --> 0:36:45.640
<v Speaker 15>Absolutely, I think right now it's more relevant than ever.

0:36:45.800 --> 0:36:48.120
<v Speaker 15>You know, NASA is working to go back to the

0:36:48.160 --> 0:36:50.840
<v Speaker 15>Moon with its Artemis program, and one of the stated

0:36:50.880 --> 0:36:53.560
<v Speaker 15>goals of that program is to send the first woman

0:36:53.600 --> 0:36:56.080
<v Speaker 15>and the first person of color to the lunar surface.

0:36:56.120 --> 0:36:58.240
<v Speaker 15>And I really think that is a first for NASA

0:36:58.320 --> 0:37:01.160
<v Speaker 15>to actually have that a stated goal. Normally in their programs,

0:37:01.200 --> 0:37:04.799
<v Speaker 15>they really don't specify who would go. It's really just

0:37:04.960 --> 0:37:06.759
<v Speaker 15>we're going to get there, and we'll send the right

0:37:06.800 --> 0:37:09.319
<v Speaker 15>people for the job when we do. So this is

0:37:09.320 --> 0:37:11.520
<v Speaker 15>a bit of a first, and so it's interesting that

0:37:11.560 --> 0:37:15.160
<v Speaker 15>they're clarifying that before they go. And I think Sally's

0:37:15.160 --> 0:37:18.920
<v Speaker 15>story is really pertinent right now because obviously, when Sally

0:37:19.080 --> 0:37:22.000
<v Speaker 15>was going up to space, you know, it was such

0:37:22.040 --> 0:37:25.560
<v Speaker 15>a novel concept for the country, even though you know

0:37:26.440 --> 0:37:29.120
<v Speaker 15>it really shouldn't have been. You know a lot of

0:37:29.280 --> 0:37:32.400
<v Speaker 15>journalists in the media, we're asking questions about her, and

0:37:32.440 --> 0:37:34.960
<v Speaker 15>you know, we're just so curious how that women and

0:37:35.000 --> 0:37:37.759
<v Speaker 15>men could possibly fly into space together. So, you know,

0:37:37.840 --> 0:37:40.400
<v Speaker 15>Sally kind of took on that burden when she was

0:37:40.440 --> 0:37:42.880
<v Speaker 15>the first one, and so hopefully, you know, as we

0:37:42.920 --> 0:37:46.080
<v Speaker 15>move forward and try to fix these you know, errors

0:37:46.080 --> 0:37:48.239
<v Speaker 15>in our space history. By sending the first woman and

0:37:48.280 --> 0:37:50.279
<v Speaker 15>the first person of color to the moon, those people

0:37:50.360 --> 0:37:52.680
<v Speaker 15>have it a little bit easier. And the press will

0:37:52.920 --> 0:37:54.239
<v Speaker 15>you know, I'll be a member of the press, so

0:37:54.280 --> 0:37:57.160
<v Speaker 15>I won't ask those questions of those people when they fly.

0:37:58.280 --> 0:38:01.319
<v Speaker 3>Let's talk about the American competition, right, and that was

0:38:01.360 --> 0:38:06.319
<v Speaker 3>like a fascinating competition because it was like a moment

0:38:06.360 --> 0:38:08.479
<v Speaker 3>of equality and yet like was it.

0:38:08.840 --> 0:38:11.400
<v Speaker 15>Well, I mean, you have to understand when you have

0:38:11.520 --> 0:38:14.320
<v Speaker 15>a group of competitive astronauts, as you had with the

0:38:14.719 --> 0:38:18.320
<v Speaker 15>class of astronauts that Sally was in, you know, they're

0:38:18.400 --> 0:38:22.840
<v Speaker 15>an extremely competitive group of individuals. So obviously their sole

0:38:22.920 --> 0:38:24.399
<v Speaker 15>ambition was to fly into space.

0:38:24.440 --> 0:38:24.680
<v Speaker 5>I hear.

0:38:24.719 --> 0:38:27.640
<v Speaker 15>That is the sole ambition of every astronaut obviously, and

0:38:27.760 --> 0:38:31.439
<v Speaker 15>so you know, obviously they all wanted to be the first,

0:38:31.520 --> 0:38:34.040
<v Speaker 15>and I think with the women, obviously there was that

0:38:34.080 --> 0:38:36.799
<v Speaker 15>added pressure of being the first American woman. And so

0:38:37.320 --> 0:38:39.640
<v Speaker 15>the issue they had though was they really had no

0:38:39.920 --> 0:38:44.200
<v Speaker 15>idea what the terms of this quote unquote competition, where

0:38:44.239 --> 0:38:48.000
<v Speaker 15>obviously NASA wasn't saying there was a competition, but everybody

0:38:48.080 --> 0:38:50.719
<v Speaker 15>was asking about it. The media all knew about it.

0:38:50.880 --> 0:38:53.640
<v Speaker 15>They were all kind of picking their favorites by who

0:38:53.680 --> 0:38:56.319
<v Speaker 15>they liked to cover and who you know, they they

0:38:56.400 --> 0:39:01.360
<v Speaker 15>thought maybe fit the best feminine architetye. You know, that

0:39:01.800 --> 0:39:03.879
<v Speaker 15>was kind of playing out and the press before they

0:39:03.880 --> 0:39:04.360
<v Speaker 15>were chosen.

0:39:04.360 --> 0:39:06.600
<v Speaker 2>Well, talk a little bit more about the press coverage

0:39:06.600 --> 0:39:09.880
<v Speaker 2>at the time, and I kept having to remind myself,

0:39:09.960 --> 0:39:12.360
<v Speaker 2>this isn't that long ago. I mean we're talking like

0:39:12.880 --> 0:39:16.160
<v Speaker 2>just before the nineteen eighties, which you know, was the

0:39:16.200 --> 0:39:18.400
<v Speaker 2>decade I was born in, Like, this is not that

0:39:18.520 --> 0:39:19.000
<v Speaker 2>long ago.

0:39:19.320 --> 0:39:21.640
<v Speaker 15>Yeah, I mean even when they first came on board,

0:39:21.680 --> 0:39:23.799
<v Speaker 15>when the first six women came on board, you know,

0:39:24.200 --> 0:39:28.279
<v Speaker 15>a reporter asked during the initial press conference that announced them,

0:39:28.360 --> 0:39:31.920
<v Speaker 15>you know, was Shannon's three kids taken into account? And

0:39:31.960 --> 0:39:34.120
<v Speaker 15>it's you know, we've been flying with men who had

0:39:34.200 --> 0:39:37.280
<v Speaker 15>children for many, many years by that point, and still,

0:39:37.719 --> 0:39:40.360
<v Speaker 15>you know, they were concerned about whether or not a

0:39:40.440 --> 0:39:42.960
<v Speaker 15>mother could handle this role. And so that was just

0:39:43.040 --> 0:39:45.279
<v Speaker 15>reflected in many of the questions that were asked. Sally

0:39:45.360 --> 0:39:47.600
<v Speaker 15>probably got the worst of them, just because she was

0:39:47.680 --> 0:39:51.120
<v Speaker 15>the first. You know, famously, she was asked if she

0:39:51.239 --> 0:39:54.640
<v Speaker 15>wept in the simulator when it broke down. There were

0:39:54.680 --> 0:39:57.360
<v Speaker 15>some other I mean there was another one. I actually

0:39:57.400 --> 0:40:00.600
<v Speaker 15>have the video of that press conference before she would

0:40:00.640 --> 0:40:03.520
<v Speaker 15>you have to watch in person because she her facial

0:40:03.560 --> 0:40:07.040
<v Speaker 15>expressions are just so good. She handled it very gracefully,

0:40:07.040 --> 0:40:09.239
<v Speaker 15>but you can tell, you know, she's hurting inside. And

0:40:10.000 --> 0:40:12.319
<v Speaker 15>there was another question that was asking her, you know,

0:40:13.160 --> 0:40:14.759
<v Speaker 15>you know you quit tennis. She used to be a

0:40:14.760 --> 0:40:17.040
<v Speaker 15>tennis player before she came to the Space program, and

0:40:17.120 --> 0:40:20.279
<v Speaker 15>it was you quit tennis because you didn't think you

0:40:20.320 --> 0:40:23.200
<v Speaker 15>had the ability to go pro? Would you have quit

0:40:23.239 --> 0:40:25.719
<v Speaker 15>the Space program if you hadn't been the first American

0:40:25.800 --> 0:40:29.480
<v Speaker 15>woman picked? So, you know, just kind of terrible questions

0:40:29.560 --> 0:40:31.600
<v Speaker 15>like that. You know, they asked if she'd be the

0:40:31.640 --> 0:40:36.280
<v Speaker 15>first mom in space. One anchor asked if she wished

0:40:36.320 --> 0:40:40.400
<v Speaker 15>she were a man? You know, just truly. You wonder

0:40:40.480 --> 0:40:43.719
<v Speaker 15>how I keep saying during these interviews, you know, I

0:40:43.840 --> 0:40:47.560
<v Speaker 15>apologize for our press ancestors because I feel like we've come.

0:40:47.440 --> 0:40:47.839
<v Speaker 7>A long way.

0:40:48.239 --> 0:40:48.799
<v Speaker 1>I'm with you.

0:40:49.680 --> 0:40:54.200
<v Speaker 11>These six women had a pretty diverse professional background. Talk

0:40:54.239 --> 0:40:54.960
<v Speaker 11>to us about that.

0:40:55.040 --> 0:40:58.080
<v Speaker 15>Yeah, That's what I loved most about the cohort is

0:40:58.320 --> 0:41:01.879
<v Speaker 15>they are so illustrated of how there's just no one

0:41:02.040 --> 0:41:05.320
<v Speaker 15>true path to space. You know, we had two medical doctors,

0:41:05.719 --> 0:41:09.880
<v Speaker 15>an astrophysicist and tennis player, an electric electrical engineer, an

0:41:09.880 --> 0:41:14.719
<v Speaker 15>oceanographer and geologist, and a chemist. And not only were

0:41:14.800 --> 0:41:17.400
<v Speaker 15>they diverse in the types of fields that they worked in,

0:41:17.800 --> 0:41:20.280
<v Speaker 15>but also in terms of whether or not they always

0:41:20.320 --> 0:41:22.879
<v Speaker 15>wanted to be astronauts. You know, some half of them

0:41:22.960 --> 0:41:25.719
<v Speaker 15>had dreamed about it their whole lives or had secretly

0:41:25.760 --> 0:41:29.080
<v Speaker 15>harbored this ambition, while the other half didn't even think

0:41:29.120 --> 0:41:32.120
<v Speaker 15>about it until they saw that NASA was opening up

0:41:32.200 --> 0:41:35.600
<v Speaker 15>the selection process. And I just think that's a really

0:41:35.640 --> 0:41:40.239
<v Speaker 15>great illustration of you know, when you make things more

0:41:40.320 --> 0:41:44.399
<v Speaker 15>diverse and accessible for people, those who would be great

0:41:44.400 --> 0:41:46.680
<v Speaker 15>in those roles would realize that they could actually do

0:41:46.760 --> 0:41:48.240
<v Speaker 15>it when they wouldn't have before.

0:41:48.920 --> 0:41:51.759
<v Speaker 3>Okay, there's also this subtle thing that comes up in

0:41:51.760 --> 0:41:55.560
<v Speaker 3>the book that astronauts seem to have a chemical attraction

0:41:55.680 --> 0:41:59.520
<v Speaker 3>to one another. How many different relationships were there were?

0:41:59.680 --> 0:42:00.480
<v Speaker 6>Yeah, there was.

0:42:00.680 --> 0:42:04.640
<v Speaker 15>There were three of the women did marry other astronauts,

0:42:04.440 --> 0:42:07.759
<v Speaker 15>and some one they married, you know, before they became astronauts,

0:42:07.760 --> 0:42:11.520
<v Speaker 15>but secretly harvard that ambition. Others met through the program,

0:42:12.040 --> 0:42:15.600
<v Speaker 15>And I think that's just it's indicative of the fact

0:42:15.600 --> 0:42:17.200
<v Speaker 15>that they spent a lot of time together. You know,

0:42:17.239 --> 0:42:20.520
<v Speaker 15>this was a very close, tight net group of astronauts,

0:42:20.520 --> 0:42:24.640
<v Speaker 15>the tfng's you know, the men actually say this in

0:42:24.680 --> 0:42:26.560
<v Speaker 15>the book. You know, what was described to me is

0:42:26.600 --> 0:42:30.320
<v Speaker 15>the women weren't exactly you know, the bestest of friends,

0:42:30.360 --> 0:42:32.719
<v Speaker 15>you know, which you might think they were being, you know,

0:42:33.400 --> 0:42:36.320
<v Speaker 15>very similar in how you know, how they were picked

0:42:36.360 --> 0:42:38.440
<v Speaker 15>and the things that were asked of them, but it

0:42:38.480 --> 0:42:40.399
<v Speaker 15>was really the men that they spent most of their

0:42:40.440 --> 0:42:43.400
<v Speaker 15>time with. For instance, they had to stay current in

0:42:43.800 --> 0:42:48.279
<v Speaker 15>NASA's fleet of T thirty eight jets, and so since

0:42:48.320 --> 0:42:51.440
<v Speaker 15>the women weren't able to fly the planes themselves, they

0:42:51.440 --> 0:42:52.759
<v Speaker 15>had to be in the back seat, and so they

0:42:52.800 --> 0:42:56.000
<v Speaker 15>spent a lot of time with male pilots, and so

0:42:56.040 --> 0:42:58.480
<v Speaker 15>they would start to gravitate towards the pilots that they

0:42:58.880 --> 0:43:00.880
<v Speaker 15>like the most. So I think it just goes to

0:43:00.880 --> 0:43:03.799
<v Speaker 15>show that when you put a lot of you know,

0:43:04.000 --> 0:43:07.640
<v Speaker 15>very accomplished, good looking people together and you make them

0:43:07.680 --> 0:43:10.760
<v Speaker 15>spend a lot of time together, you know, romance is bloom.

0:43:11.239 --> 0:43:13.640
<v Speaker 2>How are things at NASA today in terms of gender breakdown?

0:43:13.680 --> 0:43:16.800
<v Speaker 2>Because if you look at the airline industry, it's still

0:43:16.960 --> 0:43:19.520
<v Speaker 2>relatively rare to actually have a female captain.

0:43:19.840 --> 0:43:21.920
<v Speaker 15>Yeah, I mean, there's still quite a long way to go.

0:43:22.120 --> 0:43:25.600
<v Speaker 15>While each of the astronauts selections since the six were

0:43:25.640 --> 0:43:29.240
<v Speaker 15>chosen have had women, you know, they all haven't been equal.

0:43:29.480 --> 0:43:32.040
<v Speaker 15>And in terms of the women who've gone to space,

0:43:32.160 --> 0:43:34.680
<v Speaker 15>I think we're still below one six of the people

0:43:34.719 --> 0:43:37.279
<v Speaker 15>who've gotten to space have actually been women, and the

0:43:37.320 --> 0:43:39.880
<v Speaker 15>women of the statistics for women of color are just

0:43:39.920 --> 0:43:41.840
<v Speaker 15>even more abysmal. We have such a long way to

0:43:41.880 --> 0:43:45.719
<v Speaker 15>go to really reach that equality. So it's that, you know,

0:43:45.840 --> 0:43:49.920
<v Speaker 15>I just think that when you put up societal barriers

0:43:49.960 --> 0:43:52.800
<v Speaker 15>in place, it takes quite a long time to break

0:43:52.840 --> 0:43:55.680
<v Speaker 15>them down. So, you know, think of the criteria that

0:43:56.040 --> 0:43:58.440
<v Speaker 15>it takes to become an astronaut. We had to really

0:43:58.560 --> 0:44:01.560
<v Speaker 15>like encourage women and people of color to go in

0:44:01.600 --> 0:44:04.759
<v Speaker 15>stem fields because they were discouraged from going into those

0:44:04.760 --> 0:44:06.439
<v Speaker 15>fields for so long, and it just takes a while

0:44:06.520 --> 0:44:10.080
<v Speaker 15>to you know, break those barriers down. So and when

0:44:10.080 --> 0:44:12.160
<v Speaker 15>it comes to space, things take a really long time.

0:44:12.160 --> 0:44:15.319
<v Speaker 15>Developmental time takes, you know, it's we're talking on the

0:44:15.400 --> 0:44:18.120
<v Speaker 15>order of years and decades. But to that point, it's

0:44:18.160 --> 0:44:21.200
<v Speaker 15>probably safe to say that we could be doing more.

0:44:21.280 --> 0:44:24.680
<v Speaker 15>You know, there's better ways to you know, encourage a

0:44:24.760 --> 0:44:27.040
<v Speaker 15>more diverse set of people to get into the program.

0:44:27.160 --> 0:44:28.960
<v Speaker 15>So it's just something to keep top of mind.

0:44:29.040 --> 0:44:31.600
<v Speaker 2>Our thanks to Bloomberg News Space reporter Lauren Grush, her

0:44:31.600 --> 0:44:33.840
<v Speaker 2>new book is just out. It's called The Six, The

0:44:33.960 --> 0:44:37.279
<v Speaker 2>Untold Story of America's first women Astronauts. You can catch

0:44:37.280 --> 0:44:40.080
<v Speaker 2>the full conversation on the business Week podcast feed. You're

0:44:40.120 --> 0:44:43.359
<v Speaker 2>listening to Bloomberg business Week coming up. While billionaire James

0:44:43.440 --> 0:44:46.440
<v Speaker 2>Dolan has compiled a massive sports and entertainment portfolio that

0:44:46.480 --> 0:44:49.000
<v Speaker 2>includes two New York sports teams and a variety of

0:44:49.000 --> 0:44:52.840
<v Speaker 2>arenas in theaters, his latest project could redefine his legacy.

0:44:53.000 --> 0:44:55.040
<v Speaker 6>You know, some people call him Madison Square Garden, you know,

0:44:55.080 --> 0:44:57.520
<v Speaker 6>the most famous venue in the world. Yet he has

0:44:57.560 --> 0:45:00.960
<v Speaker 6>this idea he wants to disrupt I have entertainment.

0:45:01.120 --> 0:45:03.600
<v Speaker 2>Our BusinessWeek team takes you inside the sphere in the

0:45:03.600 --> 0:45:06.239
<v Speaker 2>heart of Sin City. This is Bloomberg.

0:45:06.560 --> 0:45:10.120
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:45:10.160 --> 0:45:13.680
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

0:45:13.400 --> 0:45:16.880
<v Speaker 9>On Bloomberg dot com. The iHeartRadio app and the Bloomberg

0:45:16.920 --> 0:45:20.359
<v Speaker 9>Business app, or watch us live on YouTube.

0:45:20.400 --> 0:45:22.960
<v Speaker 2>For the last several years, people visiting Las Vegas might

0:45:23.000 --> 0:45:25.480
<v Speaker 2>have been puzzled as they gazed westward from the Strip.

0:45:25.680 --> 0:45:28.080
<v Speaker 2>Looming in the distance was a three hundred and sixty

0:45:28.080 --> 0:45:31.239
<v Speaker 2>six foot tall sphere. The Dark orb bore a familial

0:45:31.280 --> 0:45:34.520
<v Speaker 2>resemblance to the Death Star, but lacked any signage offering

0:45:34.520 --> 0:45:37.120
<v Speaker 2>a clue to its purpose. Devin Leonard is out with

0:45:37.160 --> 0:45:39.640
<v Speaker 2>a new feature that delves into the convoluted history and

0:45:39.640 --> 0:45:41.840
<v Speaker 2>promise of what's known as the Sphere. It's in the

0:45:41.880 --> 0:45:45.280
<v Speaker 2>latest issue of Bloomberg BusinessWeek magazine, available now on newsstands,

0:45:45.280 --> 0:45:47.680
<v Speaker 2>online and on the terminal. Devin and Joe Weber are

0:45:47.760 --> 0:45:49.480
<v Speaker 2>with me and Jess mett In to detail the one

0:45:49.520 --> 0:45:51.960
<v Speaker 2>of a kind venue and the man behind the project,

0:45:52.239 --> 0:45:55.920
<v Speaker 2>New York Nixon Rangers owner and CEO of MSG Entertainment,

0:45:56.280 --> 0:45:56.960
<v Speaker 2>James Dolan.

0:45:57.360 --> 0:46:00.760
<v Speaker 3>He's actually kind of fascinating in that he has other interests.

0:46:01.000 --> 0:46:04.160
<v Speaker 3>Music's a big one, and he saw this opportunity to

0:46:04.280 --> 0:46:07.800
<v Speaker 3>basically build something in Vegas that had never been built before,

0:46:08.480 --> 0:46:11.719
<v Speaker 3>and he had a vision that I think originated more

0:46:11.800 --> 0:46:15.239
<v Speaker 3>or less with him and he went and like did it,

0:46:15.320 --> 0:46:17.879
<v Speaker 3>and now it's like gonna open and there has never

0:46:17.920 --> 0:46:20.880
<v Speaker 3>been a music venue like this, So yeah, it's really

0:46:20.920 --> 0:46:23.680
<v Speaker 3>easy to hate on James Dolan and the guy may

0:46:23.680 --> 0:46:27.440
<v Speaker 3>have pulled off like what's basically the perhaps a world

0:46:27.560 --> 0:46:31.000
<v Speaker 3>class music venue unlike any other. And it shaped like

0:46:31.400 --> 0:46:34.000
<v Speaker 3>a sphere, and that's what it's called, right Devin, the sphere.

0:46:34.080 --> 0:46:36.279
<v Speaker 6>Yeah, I mean, I mean, look, you know this, this

0:46:36.320 --> 0:46:37.840
<v Speaker 6>is a guy he embarks on this thing. You know,

0:46:37.960 --> 0:46:40.440
<v Speaker 6>he's he's past sixty, he's got, you know, all the

0:46:40.520 --> 0:46:42.400
<v Speaker 6>money he needs. He's the son of a son of

0:46:42.400 --> 0:46:44.560
<v Speaker 6>a billionaire, Charles doll And, a cable you know, cable

0:46:44.600 --> 0:46:47.239
<v Speaker 6>TV pioneer. His family controls, you know, some of the

0:46:47.280 --> 0:46:49.359
<v Speaker 6>world's most you know, famous venues. You know, some people

0:46:49.400 --> 0:46:51.680
<v Speaker 6>call Madison Square Garden, you know, you know, the most

0:46:51.680 --> 0:46:54.080
<v Speaker 6>famous venue in the world. Yet he has this idea

0:46:54.280 --> 0:46:58.279
<v Speaker 6>he wants to disrupt live entertainment by building you know

0:46:58.320 --> 0:47:00.960
<v Speaker 6>what's basically what is it? You know, it's around it's

0:47:01.000 --> 0:47:04.120
<v Speaker 6>an orb like you know, sphere, and it's it's sort

0:47:04.120 --> 0:47:05.320
<v Speaker 6>of three different things.

0:47:05.400 --> 0:47:05.560
<v Speaker 1>You know.

0:47:05.600 --> 0:47:07.560
<v Speaker 6>At night, it's going to be a concert hall where

0:47:07.600 --> 0:47:09.200
<v Speaker 6>this sort of state of the art sound system and

0:47:09.239 --> 0:47:12.360
<v Speaker 6>also this huge LED screen that's as big as bigger

0:47:12.400 --> 0:47:15.840
<v Speaker 6>than I should say, three football fields, and you know

0:47:15.880 --> 0:47:18.840
<v Speaker 6>the high they're calling it the highest resolution LED screen

0:47:19.040 --> 0:47:20.600
<v Speaker 6>in the world. In the daytime, it's going to be

0:47:20.840 --> 0:47:23.000
<v Speaker 6>sort more of a tourist attraction, immersive entertainment.

0:47:23.200 --> 0:47:25.120
<v Speaker 2>You've got to see pictures and videos of this thing

0:47:25.120 --> 0:47:27.560
<v Speaker 2>to actually do it justice. I mean, you hearing about

0:47:27.560 --> 0:47:30.560
<v Speaker 2>it is one thing totally, but this thing is actually

0:47:30.719 --> 0:47:31.680
<v Speaker 2>really really cool.

0:47:32.000 --> 0:47:34.160
<v Speaker 6>No, I mean that. That's something that really kind of

0:47:34.160 --> 0:47:36.560
<v Speaker 6>blew my mind was that when I went out to

0:47:36.640 --> 0:47:39.399
<v Speaker 6>Vegas to go take a tour, I actually I stayed

0:47:39.400 --> 0:47:40.800
<v Speaker 6>in the west and you know, which is sort of

0:47:40.840 --> 0:47:42.759
<v Speaker 6>overlooking it, and I asked them, you know, hey, can

0:47:42.800 --> 0:47:44.319
<v Speaker 6>I can I I want to look out at the

0:47:44.360 --> 0:47:47.600
<v Speaker 6>sphere because it was it was one hundred and fourteen degrees.

0:47:47.600 --> 0:47:48.200
<v Speaker 3>I got to do it.

0:47:49.400 --> 0:47:51.359
<v Speaker 6>I'm not going to go outside. But but no, but

0:47:51.440 --> 0:47:53.040
<v Speaker 6>but I got in there and just looked at it

0:47:53.400 --> 0:47:55.480
<v Speaker 6>out the window. I couldn't believe it. I mean that

0:47:55.600 --> 0:47:57.960
<v Speaker 6>that's when you know, again, as I say in the story,

0:47:58.560 --> 0:48:00.319
<v Speaker 6>a lot of people, you know, were doubting of people

0:48:00.320 --> 0:48:01.839
<v Speaker 6>were saying, this is you know, this is never going

0:48:01.920 --> 0:48:03.600
<v Speaker 6>to work. This is the death star. And then they

0:48:03.600 --> 0:48:05.799
<v Speaker 6>turned it on and you know everybody had you know,

0:48:05.960 --> 0:48:07.120
<v Speaker 6>people just kind of went nuts.

0:48:07.440 --> 0:48:10.279
<v Speaker 11>So why is spear? What was the inspiration behind it?

0:48:11.360 --> 0:48:13.960
<v Speaker 6>You know, that's a really good question. You know, in

0:48:13.960 --> 0:48:17.440
<v Speaker 6>twenty sixteen, you know, his family just sold Cable Vision.

0:48:17.440 --> 0:48:20.760
<v Speaker 6>They just they just sold it for eighteen billion dollars,

0:48:21.600 --> 0:48:23.319
<v Speaker 6>you know. And I make a joke in the story

0:48:23.360 --> 0:48:24.839
<v Speaker 6>the guy plays in the band. I mean he could

0:48:24.840 --> 0:48:26.640
<v Speaker 6>have gone off and played and played in the band,

0:48:26.360 --> 0:48:30.280
<v Speaker 6>and he's like he drew a picture, you know, on

0:48:30.280 --> 0:48:33.719
<v Speaker 6>on a notepad and you know, and told this guy,

0:48:33.760 --> 0:48:37.520
<v Speaker 6>but the chief technology officer of a Cable Vision, this

0:48:37.680 --> 0:48:39.319
<v Speaker 6>is the venue of the future. Let's go out and

0:48:39.320 --> 0:48:41.919
<v Speaker 6>disrupt the live entertainment is I don't actually know where,

0:48:42.000 --> 0:48:43.440
<v Speaker 6>no where he got that idea.

0:48:43.520 --> 0:48:46.400
<v Speaker 3>But it turns out that from an engineering standpoint, it

0:48:46.480 --> 0:48:51.000
<v Speaker 3>is incredibly difficult, No, it's insane to playing music in.

0:48:51.680 --> 0:48:53.040
<v Speaker 3>So how did they go about solving that?

0:48:53.320 --> 0:48:58.400
<v Speaker 6>Well, it's an acoustical nightmare because everything just echoes inside

0:48:58.440 --> 0:49:03.160
<v Speaker 6>of Speercally. They found a company in called Hollaplot in

0:49:03.239 --> 0:49:09.600
<v Speaker 6>Germany that's that basically beams audio to using algorithms to

0:49:09.800 --> 0:49:11.880
<v Speaker 6>different places, and you know, to where wherever you're sitting

0:49:11.920 --> 0:49:13.879
<v Speaker 6>that the algorithm set up so they're basically measured. They're

0:49:13.880 --> 0:49:16.880
<v Speaker 6>creating these beats, you know, sound and and and they're measured,

0:49:16.960 --> 0:49:19.520
<v Speaker 6>so everybody sort of here's the same thing. But that way,

0:49:19.840 --> 0:49:21.919
<v Speaker 6>since you're sending the audio right to the people you're

0:49:22.680 --> 0:49:26.640
<v Speaker 6>everything isn't just bouncing all around and echoing. And that's

0:49:26.760 --> 0:49:30.120
<v Speaker 6>just one of the sort of crazy, crazy and and

0:49:30.120 --> 0:49:33.799
<v Speaker 6>and I think ultimately expensive things they did, and and

0:49:34.200 --> 0:49:37.000
<v Speaker 6>helps explain why this thing went from one point two

0:49:37.120 --> 0:49:39.920
<v Speaker 6>billion dollars you know price tag to uh two point

0:49:39.960 --> 0:49:41.080
<v Speaker 6>three billion.

0:49:41.120 --> 0:49:41.480
<v Speaker 3>That's the thing.

0:49:41.920 --> 0:49:42.560
<v Speaker 6>Who's counting?

0:49:43.440 --> 0:49:47.000
<v Speaker 3>So so wait, there's gonna be a big act that's

0:49:47.040 --> 0:49:49.640
<v Speaker 3>gonna open this up. And because this is gonna happen,

0:49:49.719 --> 0:49:52.719
<v Speaker 3>and I mean, it's already in Vegas, it's built. They're

0:49:52.719 --> 0:49:54.920
<v Speaker 3>already doing weird stuff on the strip.

0:49:55.320 --> 0:49:59.319
<v Speaker 6>Who's opening a little band from Ireland called a You

0:49:59.440 --> 0:50:00.480
<v Speaker 6>two of them?

0:50:00.640 --> 0:50:02.239
<v Speaker 3>Yeah, I think if you're gonna be there, yeah, if

0:50:02.280 --> 0:50:04.400
<v Speaker 3>you're gonna make if you're gonna make a splash like

0:50:04.560 --> 0:50:07.680
<v Speaker 3>launch with with with YouTube, how long are they going

0:50:07.719 --> 0:50:08.399
<v Speaker 3>to be opening there?

0:50:08.440 --> 0:50:10.600
<v Speaker 6>They're good, they're they're gonna be playing for twenty five

0:50:10.719 --> 0:50:13.520
<v Speaker 6>twenty five nights, and tickets are how much, you know,

0:50:13.920 --> 0:50:16.000
<v Speaker 6>I think they started around one hundred and fifty dollars.

0:50:16.080 --> 0:50:18.879
<v Speaker 3>Yeah, but I mean I'm going, well, I.

0:50:18.800 --> 0:50:20.359
<v Speaker 6>Mean they're almost all sold out, so I think if

0:50:20.360 --> 0:50:21.680
<v Speaker 6>you want to go, Joel, you're gonna have to look

0:50:21.719 --> 0:50:24.399
<v Speaker 6>at them stuff up and those prices are right. Yeah.

0:50:24.800 --> 0:50:26.200
<v Speaker 2>I mean it's a good point though, Joel, that you

0:50:26.239 --> 0:50:28.239
<v Speaker 2>bring up. If it's good enough for Bono, all right,

0:50:28.280 --> 0:50:30.000
<v Speaker 2>then you know it's good enough for other musicians.

0:50:30.040 --> 0:50:30.160
<v Speaker 9>Right.

0:50:30.560 --> 0:50:33.120
<v Speaker 3>I also just think this is this is the future,

0:50:33.360 --> 0:50:36.200
<v Speaker 3>right like live event We know that live events are

0:50:36.200 --> 0:50:38.440
<v Speaker 3>where artists make their money. If you can make an

0:50:38.560 --> 0:50:42.200
<v Speaker 3>artist a venue unlike any other what happens, you can

0:50:42.239 --> 0:50:43.040
<v Speaker 3>get anybody you want.

0:50:43.200 --> 0:50:45.560
<v Speaker 6>Well, they don't have to travel, so so I mean,

0:50:45.880 --> 0:50:49.480
<v Speaker 6>these these bands have like these caravans of trucks that

0:50:50.640 --> 0:50:52.799
<v Speaker 6>you know they carry there. They're they're they're you know,

0:50:52.800 --> 0:50:54.879
<v Speaker 6>all the equipment around all that, they take their led

0:50:55.040 --> 0:50:57.319
<v Speaker 6>lighting around, they take their sounds just to surround all

0:50:57.320 --> 0:51:00.560
<v Speaker 6>these concert halls and and and in this is from

0:51:00.560 --> 0:51:02.440
<v Speaker 6>what I'm told with you too and other bands, they

0:51:02.480 --> 0:51:06.680
<v Speaker 6>actually have two sets. You know two caravans that you

0:51:06.960 --> 0:51:09.520
<v Speaker 6>know that you know that that move in between in

0:51:09.560 --> 0:51:12.160
<v Speaker 6>between venues, So when they're so the one to the

0:51:12.160 --> 0:51:13.919
<v Speaker 6>next one, you know, they're setting up the next venue

0:51:13.960 --> 0:51:15.920
<v Speaker 6>walk while they're breaking down the first. Anyway, I mean,

0:51:16.040 --> 0:51:18.840
<v Speaker 6>it's it sounds, it's enormously expensive and it's a huge headache.

0:51:18.840 --> 0:51:21.040
<v Speaker 6>And I guess if they can spend you know, a

0:51:21.040 --> 0:51:23.000
<v Speaker 6>couple of months in Vegas, you know, some people are

0:51:23.000 --> 0:51:24.640
<v Speaker 6>definitely gonna want to do that. And some of the bands,

0:51:24.680 --> 0:51:26.279
<v Speaker 6>by the way that they're talking about a cold Play

0:51:27.000 --> 0:51:30.160
<v Speaker 6>and Fish, Harry Styles is.

0:51:35.280 --> 0:51:39.200
<v Speaker 2>All the relationship with Fish they're doing.

0:51:39.440 --> 0:51:40.600
<v Speaker 3>Yeah you packed that house?

0:51:40.840 --> 0:51:43.240
<v Speaker 6>Yeah, okay.

0:51:43.280 --> 0:51:48.560
<v Speaker 3>So there's also a possibility that Vegas won't be the only.

0:51:48.320 --> 0:51:51.520
<v Speaker 6>Place that has a sphere, not if Jim Dog can help.

0:51:51.520 --> 0:51:54.320
<v Speaker 6>But yeah, no, they're they're, they're they're they're trying to

0:51:54.320 --> 0:51:57.359
<v Speaker 6>get permission to build one in London and there's they're

0:51:57.400 --> 0:52:02.880
<v Speaker 6>scouting other locations. But after spending two point three billion dollars,

0:52:03.200 --> 0:52:05.200
<v Speaker 6>they want to change their plans to get partners because

0:52:05.280 --> 0:52:07.239
<v Speaker 6>he's not going to want to do that again. Well

0:52:07.239 --> 0:52:08.840
<v Speaker 6>he's already said he says he's not going to do

0:52:08.840 --> 0:52:09.200
<v Speaker 6>that again.

0:52:10.120 --> 0:52:13.080
<v Speaker 2>Okay, So Joel, you mentioned that, you know, with live

0:52:13.160 --> 0:52:15.520
<v Speaker 2>music in this day and age, the world of Beyonce,

0:52:15.960 --> 0:52:19.760
<v Speaker 2>the world of Taylor Swift, people will pay for certain

0:52:19.800 --> 0:52:22.400
<v Speaker 2>acts and certain experiences more.

0:52:22.200 --> 0:52:23.280
<v Speaker 3>Than one hundred and fifty dollars.

0:52:23.400 --> 0:52:26.319
<v Speaker 2>Oh for sure. Yeah, he didn't see me going to

0:52:26.320 --> 0:52:30.480
<v Speaker 2>beyoncere Taylor Swift as concerts, even though I wanted to, Devin,

0:52:31.080 --> 0:52:32.920
<v Speaker 2>it was hard to see this coming, like the post

0:52:32.920 --> 0:52:35.960
<v Speaker 2>pandemic surge and especially the high prices that people would pay.

0:52:36.160 --> 0:52:38.040
<v Speaker 2>Talk about the construction of this and the way that

0:52:38.080 --> 0:52:40.040
<v Speaker 2>the pandemic derailed it, because this thing was in the

0:52:40.080 --> 0:52:42.719
<v Speaker 2>works before the summer of twenty twenty three.

0:52:43.160 --> 0:52:45.400
<v Speaker 6>No, because that's I mean, that's the whole thing. They

0:52:45.560 --> 0:52:50.959
<v Speaker 6>basically they least eighteen acres of land from from Las

0:52:51.040 --> 0:52:55.239
<v Speaker 6>Vegas sands and they started to build this thing, and

0:52:56.400 --> 0:52:59.359
<v Speaker 6>then in twenty twenty the pandemic hits and it just

0:52:59.719 --> 0:53:03.840
<v Speaker 6>dry up the cost of you know, steel, computer chips,

0:53:04.160 --> 0:53:05.719
<v Speaker 6>you know, basically, you know, just saying the story just

0:53:05.719 --> 0:53:08.280
<v Speaker 6>about anything you need, you know, for a multi billion

0:53:08.320 --> 0:53:09.080
<v Speaker 6>dollar development.

0:53:09.200 --> 0:53:10.319
<v Speaker 2>LEDs were more yeah.

0:53:10.360 --> 0:53:11.680
<v Speaker 9>Yeah, yeah, those.

0:53:11.600 --> 0:53:14.640
<v Speaker 6>Yeah, no, yes, especially for the inside and the outside

0:53:14.640 --> 0:53:18.880
<v Speaker 6>of the excessphere but so so so that effect and

0:53:18.880 --> 0:53:21.800
<v Speaker 6>also halted construction. They were initially going to open in

0:53:22.400 --> 0:53:25.600
<v Speaker 6>twenty twenty one, so that set them back three years.

0:53:25.640 --> 0:53:28.880
<v Speaker 6>But but but it was also just all this advanced technology,

0:53:28.880 --> 0:53:30.799
<v Speaker 6>all these things they're experimenting with. They had to create

0:53:30.800 --> 0:53:33.000
<v Speaker 6>an entirely new camera just to be able to capture

0:53:33.000 --> 0:53:36.440
<v Speaker 6>images large enough to fit, you know, that screen. They

0:53:36.440 --> 0:53:38.920
<v Speaker 6>were stitching images together for multiple cameras.

0:53:38.760 --> 0:53:41.560
<v Speaker 3>Camera and they had to patent this thing because it's

0:53:41.600 --> 0:53:44.479
<v Speaker 3>like the quality in size of this image is so big.

0:53:44.560 --> 0:53:46.239
<v Speaker 3>And then like, I think this is like there's like

0:53:46.360 --> 0:53:48.960
<v Speaker 3>some feats of engineering that they passed.

0:53:48.800 --> 0:53:51.040
<v Speaker 6>A lot of stuff. I came. I think there's I

0:53:51.080 --> 0:53:53.400
<v Speaker 6>think the numbers on like sixty patents overall, and not

0:53:53.520 --> 0:53:55.759
<v Speaker 6>just that the camera is just you know, like eight

0:53:55.880 --> 0:53:56.240
<v Speaker 6>or something.

0:53:56.280 --> 0:53:59.400
<v Speaker 2>So our thanks to senior Global business writer for the magazine,

0:53:59.440 --> 0:54:02.000
<v Speaker 2>Devin Leonard and once again the editor of Bloomberg BusinessWeek,

0:54:02.239 --> 0:54:04.880
<v Speaker 2>Joel Weber. Still to come. On Bloomberg Business Week, we

0:54:04.920 --> 0:54:07.520
<v Speaker 2>turn our attention to the retail sector and the resurrection

0:54:07.600 --> 0:54:10.520
<v Speaker 2>of j C. Penny. CEO Mark Rosen stops by to

0:54:10.600 --> 0:54:14.799
<v Speaker 2>explain the strategy and why it's paying off. This is Bloomberg.

0:54:15.760 --> 0:54:19.319
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:54:19.360 --> 0:54:23.480
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:54:23.560 --> 0:54:26.840
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:54:26.960 --> 0:54:30.080
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:54:30.480 --> 0:54:33.200
<v Speaker 1>Just Say Alexa play Bloomberg eleven.

0:54:32.960 --> 0:54:37.520
<v Speaker 2>Thirty Tim Stenek along with Bloomberg News Deputy team leader

0:54:37.560 --> 0:54:40.120
<v Speaker 2>for US Equities Jess Menton, Who's in for Carrol Master

0:54:40.239 --> 0:54:42.400
<v Speaker 2>this week? Our next guest is a veteran of Walmart

0:54:42.480 --> 0:54:45.719
<v Speaker 2>and Levi Strauss, who's facing perhaps his toughest challenge yet

0:54:45.880 --> 0:54:48.640
<v Speaker 2>reviving the storied brand of j C. Penny, which dates

0:54:48.640 --> 0:54:51.080
<v Speaker 2>back more than one hundred and twenty years. The department

0:54:51.120 --> 0:54:53.360
<v Speaker 2>store chain filed for bankruptcy shortly after the start of

0:54:53.400 --> 0:54:57.080
<v Speaker 2>the pandemic in twenty twenty. Then in November of twenty

0:54:57.120 --> 0:55:00.000
<v Speaker 2>twenty one, a new leader took the helm. Just last month,

0:55:00.080 --> 0:55:02.759
<v Speaker 2>the company announced a one billion dollar reinvestment plan that

0:55:02.840 --> 0:55:06.319
<v Speaker 2>focuses on digital and in store experiences. This past week,

0:55:06.360 --> 0:55:08.799
<v Speaker 2>we caught up with Mark Rosen, the CEO of the

0:55:08.920 --> 0:55:11.960
<v Speaker 2>now privately held Jcpenny. He joined us from the company's

0:55:11.960 --> 0:55:13.600
<v Speaker 2>headquarters in Plano, Texas.

0:55:13.880 --> 0:55:15.759
<v Speaker 16>We are a private company, but what I can share

0:55:15.880 --> 0:55:20.160
<v Speaker 16>is we now have sales that are over eight billion dollars.

0:55:20.280 --> 0:55:23.000
<v Speaker 16>We have just over six hundred and fifty stores across

0:55:23.040 --> 0:55:27.279
<v Speaker 16>the country, and we also operate jcp dot com, So

0:55:27.320 --> 0:55:32.319
<v Speaker 16>we're serving customers everywhere right now, and the business is

0:55:33.040 --> 0:55:36.440
<v Speaker 16>really You mentioned that we emerge from bankruptcy, and we

0:55:36.520 --> 0:55:39.800
<v Speaker 16>emerged with a very very clean balance sheet, in a strong,

0:55:39.920 --> 0:55:44.440
<v Speaker 16>strong financial position with less than half a billion dollars,

0:55:45.280 --> 0:55:48.640
<v Speaker 16>with less than five hundred million dollars of debt on

0:55:48.680 --> 0:55:52.240
<v Speaker 16>the balance sheet, so really financially positioned to drive forward

0:55:52.280 --> 0:55:55.560
<v Speaker 16>and really reinvigorate this brand and re establish our relationship

0:55:55.560 --> 0:55:57.920
<v Speaker 16>and our relevance with our consumers, which is really the

0:55:57.960 --> 0:55:59.239
<v Speaker 16>core of America.

0:55:59.280 --> 0:56:02.280
<v Speaker 2>You might have heard just a little earlier talking about

0:56:02.440 --> 0:56:05.000
<v Speaker 2>over the weekend visiting a mall, seeing a jcpenny that

0:56:05.480 --> 0:56:08.120
<v Speaker 2>was no longer operating, and even having the conversation with

0:56:08.200 --> 0:56:11.360
<v Speaker 2>his family about whether or not the store still exists.

0:56:11.680 --> 0:56:13.839
<v Speaker 2>How do you change that narrative and let people know

0:56:13.880 --> 0:56:17.480
<v Speaker 2>that yes, jcpenny is here and we've got six hundred

0:56:17.480 --> 0:56:18.640
<v Speaker 2>and fifty stores across the country.

0:56:18.680 --> 0:56:19.239
<v Speaker 5>How do you do it?

0:56:20.440 --> 0:56:22.440
<v Speaker 16>Well, that's actually part of so you mentioned that we

0:56:22.600 --> 0:56:26.359
<v Speaker 16>just announced an over a billion dollar investment back into

0:56:26.400 --> 0:56:31.040
<v Speaker 16>the business, and that that investment is focused on remodeling

0:56:31.080 --> 0:56:35.920
<v Speaker 16>our stores and reinvesting in the store platform, putting new technology,

0:56:35.960 --> 0:56:41.040
<v Speaker 16>a new point of sale, in in revitalizing our online

0:56:41.080 --> 0:56:45.120
<v Speaker 16>shopping experience and really improving THEJCP dot com shopping experience,

0:56:45.560 --> 0:56:48.120
<v Speaker 16>and then also our supply chain. But I would say

0:56:48.160 --> 0:56:50.600
<v Speaker 16>we're a retailer, and so it all really starts out

0:56:50.640 --> 0:56:53.200
<v Speaker 16>with product. And over the last couple of years, what

0:56:53.200 --> 0:56:58.200
<v Speaker 16>we've done is reintroduce over twenty five of our brands,

0:56:58.239 --> 0:57:01.600
<v Speaker 16>Brands like Stafford that ever customer knows and loves, and

0:57:01.680 --> 0:57:04.439
<v Speaker 16>a lot of customers grew up with brands like Liz

0:57:04.480 --> 0:57:08.600
<v Speaker 16>Clayborn and brands like Cooks in our homes, in our

0:57:08.640 --> 0:57:11.839
<v Speaker 16>home area, and so we've reintroduced that product. And now

0:57:11.920 --> 0:57:14.240
<v Speaker 16>what we're investing in also along with that a billion

0:57:14.280 --> 0:57:18.640
<v Speaker 16>dollars is what we're calling a brand reinvigoration that is

0:57:18.640 --> 0:57:21.760
<v Speaker 16>centered around really helping our customers make it count. And

0:57:21.800 --> 0:57:23.840
<v Speaker 16>when we look at our customer, I set our customers

0:57:23.880 --> 0:57:26.560
<v Speaker 16>the core of America. It's the school teachers that teach

0:57:26.600 --> 0:57:29.160
<v Speaker 16>our children it's the construction workers that build our homes

0:57:29.200 --> 0:57:32.280
<v Speaker 16>in the buildings we work in. It's medical workers who

0:57:32.320 --> 0:57:35.040
<v Speaker 16>take care of our families. And that customer is looking

0:57:35.120 --> 0:57:38.120
<v Speaker 16>for a sense of belonging there, looking for a place

0:57:38.160 --> 0:57:41.960
<v Speaker 16>where they can find accessible fashion that they can still

0:57:42.000 --> 0:57:44.880
<v Speaker 16>get at a great value, because that customer is making

0:57:44.920 --> 0:57:46.640
<v Speaker 16>trade of us every day in their life. And so

0:57:47.160 --> 0:57:51.080
<v Speaker 16>what we're introducing also is a campaign to reinvigorate the brand,

0:57:51.200 --> 0:57:54.200
<v Speaker 16>centering around how we help our customers make every moment

0:57:54.240 --> 0:57:56.040
<v Speaker 16>in their lives, whether it's a big moment like their

0:57:56.120 --> 0:57:59.040
<v Speaker 16>daughter's wedding, or whether it's a smaller moment like getting

0:57:59.040 --> 0:58:00.920
<v Speaker 16>their kids ready for school in the morning. But how

0:58:00.960 --> 0:58:04.000
<v Speaker 16>do they use the products that we have at jcpenny

0:58:04.000 --> 0:58:06.200
<v Speaker 16>to make that count but be able to make account

0:58:06.280 --> 0:58:08.520
<v Speaker 16>but still have money left to put breakfast on the

0:58:08.560 --> 0:58:09.360
<v Speaker 16>table for the kids.

0:58:09.560 --> 0:58:12.520
<v Speaker 11>Hey, Mark, whenever you're talking about middle income shoppers, and

0:58:12.600 --> 0:58:16.440
<v Speaker 11>especially with this inflation dynamic, how do you sort of

0:58:16.560 --> 0:58:19.800
<v Speaker 11>view that as far as how to get shoppers back

0:58:19.840 --> 0:58:22.640
<v Speaker 11>in when they are trying to figure out where to

0:58:23.120 --> 0:58:24.600
<v Speaker 11>sort of shift their spending.

0:58:24.680 --> 0:58:28.320
<v Speaker 16>At this point, right inflation is an issue for our customer.

0:58:28.360 --> 0:58:30.440
<v Speaker 16>We look right now, we see that our customer is

0:58:30.440 --> 0:58:34.400
<v Speaker 16>spending over seven hundred dollars a month more just for

0:58:34.880 --> 0:58:39.320
<v Speaker 16>rent or mortgage, for groceries, for gas, and that means

0:58:39.400 --> 0:58:41.640
<v Speaker 16>that every dollar is even more important to them, and

0:58:41.680 --> 0:58:44.400
<v Speaker 16>it's more important that they make every dollar count. And

0:58:44.400 --> 0:58:46.440
<v Speaker 16>that's really what we're here for is to help them

0:58:46.480 --> 0:58:48.040
<v Speaker 16>do that. And I think the unique thing that we

0:58:48.080 --> 0:58:51.920
<v Speaker 16>can bring to the table is we can bring great

0:58:52.000 --> 0:58:55.960
<v Speaker 16>fashion and great product at a really accessible price to

0:58:56.000 --> 0:58:58.600
<v Speaker 16>our customers. And that's what they're that's what they need,

0:58:58.680 --> 0:59:00.680
<v Speaker 16>that's what they're looking for right now in their lives.

0:59:01.000 --> 0:59:04.120
<v Speaker 11>When you talk about technology upgrades to some of these stores,

0:59:04.320 --> 0:59:06.520
<v Speaker 11>kind of build on that. What more specifically are.

0:59:06.440 --> 0:59:07.160
<v Speaker 5>You doing.

0:59:08.520 --> 0:59:11.720
<v Speaker 16>Within the stores. It's a lot of it's mobile and

0:59:11.720 --> 0:59:15.040
<v Speaker 16>it's point of sale or checkout technology. So we'll be

0:59:15.720 --> 0:59:18.360
<v Speaker 16>within the stores centralizing the checkout, but we'll also be

0:59:18.400 --> 0:59:20.240
<v Speaker 16>putting in the hand of hands of all of our

0:59:20.240 --> 0:59:23.160
<v Speaker 16>associates in the stores mobile devices that will help them

0:59:23.200 --> 0:59:26.400
<v Speaker 16>manage inventory better. It'll help them ship and fulfill online orders,

0:59:26.400 --> 0:59:28.760
<v Speaker 16>it'll help them check inventory and order online. For a

0:59:28.800 --> 0:59:32.200
<v Speaker 16>customer or I've talked about centralized checkout, what it really

0:59:32.240 --> 0:59:34.240
<v Speaker 16>will do is move check out anywhere so that they

0:59:34.240 --> 0:59:37.040
<v Speaker 16>can mobile check out a customer anywhere in the store.

0:59:37.000 --> 0:59:40.040
<v Speaker 2>Sales of over eight billion dollars. Where do more sales

0:59:40.080 --> 0:59:42.000
<v Speaker 2>happen right now at the six hundred fifty stores across

0:59:42.000 --> 0:59:43.640
<v Speaker 2>the country or jcpenny dot com.

0:59:43.920 --> 0:59:46.880
<v Speaker 16>So it's about a seventy thirty split with stores the

0:59:46.920 --> 0:59:49.840
<v Speaker 16>seventy percent and with the online business about thirty.

0:59:49.640 --> 0:59:50.880
<v Speaker 2>And where are you more bullish?

0:59:51.280 --> 0:59:55.720
<v Speaker 16>So both are actually growing, and we're focused on growing both.

0:59:55.760 --> 0:59:58.960
<v Speaker 16>But I do believe that right now we've done a

0:59:58.960 --> 1:00:03.400
<v Speaker 16>significant amount of of reimagining our online experience and investing

1:00:03.440 --> 1:00:06.080
<v Speaker 16>in JCP dot com, and we think there's significant growth there.

1:00:06.160 --> 1:00:07.920
<v Speaker 2>So do you think that it is it growing at

1:00:07.920 --> 1:00:11.320
<v Speaker 2>a faster rate in like yell eclips store sales with

1:00:11.440 --> 1:00:12.880
<v Speaker 2>JCP dot com in a number.

1:00:12.680 --> 1:00:16.640
<v Speaker 16>Of years, the JCP dot com business is growing faster

1:00:17.320 --> 1:00:20.840
<v Speaker 16>than the store business. I don't believe that it's ever

1:00:20.920 --> 1:00:23.080
<v Speaker 16>going to eat clips. I think you could reach, like,

1:00:23.240 --> 1:00:25.280
<v Speaker 16>you know, a forty sixty point or something like that.

1:00:25.320 --> 1:00:27.080
<v Speaker 16>But the reality is what we're seeing is that customers

1:00:27.120 --> 1:00:28.800
<v Speaker 16>still want to shop in stores. They still want to

1:00:28.840 --> 1:00:30.600
<v Speaker 16>come in, they want to have that try and experience,

1:00:30.640 --> 1:00:32.840
<v Speaker 16>they want to get help from an associate to put

1:00:32.880 --> 1:00:36.880
<v Speaker 16>together an outfit, and in important areas like we reintroduce beauty,

1:00:37.160 --> 1:00:39.120
<v Speaker 16>a customer is looking to come in and get help

1:00:39.160 --> 1:00:39.960
<v Speaker 16>and try product.

1:00:40.480 --> 1:00:43.800
<v Speaker 11>When you look at this portfolio, whether it's fashion, apparel, home,

1:00:43.880 --> 1:00:47.560
<v Speaker 11>beauty as well as jewelry, where are you seeing spending

1:00:48.000 --> 1:00:50.800
<v Speaker 11>the strongest and where do you see people pulling back

1:00:50.840 --> 1:00:51.320
<v Speaker 11>the most.

1:00:53.000 --> 1:00:55.560
<v Speaker 16>It's interesting because if we look across the business, we're

1:00:55.640 --> 1:00:58.120
<v Speaker 16>really pleased with the growth that we've seen in our

1:00:58.120 --> 1:01:01.320
<v Speaker 16>home business and in our men and women's apparel business,

1:01:01.400 --> 1:01:04.760
<v Speaker 16>and we believe we've gained share in all of those

1:01:04.800 --> 1:01:08.280
<v Speaker 16>areas because customers are spending there. Our jewelry business is

1:01:08.320 --> 1:01:11.040
<v Speaker 16>another one that continues to be really strong right now.

1:01:11.240 --> 1:01:15.480
<v Speaker 16>I think rather than seeing people reduce spending in particular areas,

1:01:15.840 --> 1:01:18.240
<v Speaker 16>we're actually seeing that within an area, they're being a

1:01:18.280 --> 1:01:21.840
<v Speaker 16>little bit more selective about what they're choosing, and we

1:01:21.880 --> 1:01:24.760
<v Speaker 16>are seeing some more growth come from some of our

1:01:24.800 --> 1:01:28.600
<v Speaker 16>private label brands. For example, in home, we're seeing products

1:01:28.640 --> 1:01:31.160
<v Speaker 16>like Cooks, which is a private label opening price point,

1:01:32.120 --> 1:01:35.959
<v Speaker 16>small small appliance think like blenders and toasters and things

1:01:36.000 --> 1:01:39.000
<v Speaker 16>like that, and cookwear. We're seeing customers choose that product

1:01:39.040 --> 1:01:42.200
<v Speaker 16>in some cases because they realize it's great value and

1:01:42.240 --> 1:01:44.520
<v Speaker 16>they can save money by going for that product.

1:01:44.680 --> 1:01:46.680
<v Speaker 2>So are you going to stay a private company forever?

1:01:46.800 --> 1:01:48.080
<v Speaker 2>Is there an IPO on the horizon.

1:01:48.600 --> 1:01:52.280
<v Speaker 16>So right now we're really actually focused on just driving sustainable,

1:01:52.280 --> 1:01:55.840
<v Speaker 16>profitable customer growth within the business and we're very fortunate

1:01:55.880 --> 1:01:58.040
<v Speaker 16>that we have an ownership group that is aligned with

1:01:58.120 --> 1:02:01.040
<v Speaker 16>doing that and focused on the long term. And right

1:02:01.080 --> 1:02:05.800
<v Speaker 16>now the focus is building that relationship with customers, driving

1:02:05.840 --> 1:02:08.600
<v Speaker 16>customers back to the brand, and then we'll see where

1:02:08.600 --> 1:02:09.240
<v Speaker 16>it goes from there.

1:02:09.640 --> 1:02:11.640
<v Speaker 2>That was Mark Rosen, CEO of j C.

1:02:11.800 --> 1:02:12.120
<v Speaker 9>Penny.

1:02:12.360 --> 1:02:15.280
<v Speaker 2>You're listening to Bloomberg business Week coming up, we stick

1:02:15.320 --> 1:02:18.200
<v Speaker 2>with the retail theme and examine how AI is increasingly

1:02:18.240 --> 1:02:20.400
<v Speaker 2>becoming part of the shopping experience.

1:02:20.760 --> 1:02:23.320
<v Speaker 13>That's what lily Ai does. We are using AI to

1:02:23.400 --> 1:02:28.000
<v Speaker 13>bridge the gap between retailers speak and consumers speak in retail,

1:02:28.600 --> 1:02:32.880
<v Speaker 13>and this is the perfect type of problem that AI

1:02:33.000 --> 1:02:36.000
<v Speaker 13>can come in and help solve. To understand the language

1:02:36.000 --> 1:02:39.959
<v Speaker 13>of the consumer, use AI to extract those attributes out

1:02:39.960 --> 1:02:43.920
<v Speaker 13>of the images of the product catalog and then help

1:02:44.160 --> 1:02:45.360
<v Speaker 13>the consumer experiences.

1:02:45.640 --> 1:02:48.560
<v Speaker 2>The CEO of lily Ai breaks down her company's unique

1:02:48.600 --> 1:02:51.880
<v Speaker 2>data driven tools designed to help streamline product discovery in

1:02:51.920 --> 1:02:54.520
<v Speaker 2>the world of e commerce. This is Bloomberg.

1:02:54.840 --> 1:02:58.400
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

1:02:58.400 --> 1:03:01.760
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

1:03:01.840 --> 1:03:05.880
<v Speaker 1>Bloomberg dot com, the iHeartRadio app and the Bloomberg Business App,

1:03:06.160 --> 1:03:07.840
<v Speaker 1>or watch us live on YouTube.

1:03:08.720 --> 1:03:12.360
<v Speaker 2>Tim Stanibek with Bloomberg'sjess Mattin. Who's in for Carol and Jess.

1:03:12.360 --> 1:03:15.480
<v Speaker 2>We've got yet another use for everybody's favorite type of tech.

1:03:15.640 --> 1:03:19.960
<v Speaker 11>So the hype in artificial intelligence, as we know is everywhere.

1:03:20.000 --> 1:03:22.520
<v Speaker 11>But what about when it comes to the intersection of

1:03:22.640 --> 1:03:27.360
<v Speaker 11>AI and retailers. Well, there is a company that is

1:03:27.400 --> 1:03:29.920
<v Speaker 11>powered by AI that is aiming to bridge that gap

1:03:30.000 --> 1:03:32.840
<v Speaker 11>and makes selling easier for companies, especially when you're talking

1:03:32.840 --> 1:03:37.520
<v Speaker 11>about Bloomingdale's, Macy's, the gap back to school purchases obviously

1:03:37.600 --> 1:03:40.400
<v Speaker 11>starting up right now and then also ahead of the

1:03:40.480 --> 1:03:43.600
<v Speaker 11>holiday shopping season. Joining us now is Perva Gupta, co

1:03:43.680 --> 1:03:47.640
<v Speaker 11>founder and chief executive officer at Lilyai, joining us on

1:03:47.720 --> 1:03:51.400
<v Speaker 11>Zoom from Palo Alto, California. Thank you so much for

1:03:51.520 --> 1:03:55.200
<v Speaker 11>joining us. Talk to us about what your company is

1:03:55.400 --> 1:03:57.760
<v Speaker 11>and what you do. Just to set the scene here.

1:03:57.640 --> 1:04:01.240
<v Speaker 13>My company is called lily Ai. We are working with

1:04:01.280 --> 1:04:03.360
<v Speaker 13>some of the largest brands and retailers. But let me

1:04:03.360 --> 1:04:07.200
<v Speaker 13>ask you a question. I'm sure you shop online all

1:04:07.240 --> 1:04:09.560
<v Speaker 13>the time and I've gone through an experience when you're

1:04:09.560 --> 1:04:12.200
<v Speaker 13>looking for something as simple as a navy blue sweatshirt

1:04:12.360 --> 1:04:15.680
<v Speaker 13>and you are getting no results, or you're getting even

1:04:15.680 --> 1:04:20.360
<v Speaker 13>worse red lipsticks and slippers. It's not that they don't

1:04:20.360 --> 1:04:23.880
<v Speaker 13>have navy blue sweatshirts, but the reason why that's happening

1:04:24.120 --> 1:04:27.440
<v Speaker 13>is because the way that the products are described at

1:04:27.480 --> 1:04:31.720
<v Speaker 13>retailers are in the language of midnight French terry at

1:04:31.800 --> 1:04:34.960
<v Speaker 13>leisure like. That's why you're not finding it because it's

1:04:35.000 --> 1:04:38.040
<v Speaker 13>not called navy blue sweatshirt. It's not labeled in the

1:04:38.160 --> 1:04:42.160
<v Speaker 13>language that us as consumers use, and so that's what

1:04:42.200 --> 1:04:44.920
<v Speaker 13>lily ai does. We are using AI to bridge the

1:04:44.960 --> 1:04:49.880
<v Speaker 13>gap between retailers speak and consumers speak in retail and

1:04:50.200 --> 1:04:53.480
<v Speaker 13>this is the perfect type of problem that AI can

1:04:53.520 --> 1:04:56.360
<v Speaker 13>come in and help solve. To understand the language of

1:04:56.360 --> 1:04:59.680
<v Speaker 13>the consumer, use AI to extract those attributes out of

1:04:59.760 --> 1:05:03.040
<v Speaker 13>the images of the product catalog and then help the

1:05:03.080 --> 1:05:04.760
<v Speaker 13>consumer experiences.

1:05:04.280 --> 1:05:06.320
<v Speaker 2>Okay, so you got to explain to me, like I'm

1:05:06.320 --> 1:05:08.880
<v Speaker 2>a five year old, how AI is being used here

1:05:08.880 --> 1:05:11.640
<v Speaker 2>and how it's training itself. It's retraining itself. Take us

1:05:11.640 --> 1:05:12.320
<v Speaker 2>through the basics.

1:05:12.520 --> 1:05:16.600
<v Speaker 13>AI is being used for years now. It literally started

1:05:16.600 --> 1:05:21.280
<v Speaker 13>in nineteen fifties, and fundamentally AI is when machines are

1:05:21.360 --> 1:05:25.960
<v Speaker 13>mimicking human intelligence, right and recently, generative AI is all

1:05:26.000 --> 1:05:29.880
<v Speaker 13>the hype everybody's heart of chat GPD. That's one type

1:05:29.880 --> 1:05:31.840
<v Speaker 13>of AI. There are so many other types of AI

1:05:32.440 --> 1:05:36.000
<v Speaker 13>like computer vision, natural language processing, all of those types

1:05:36.040 --> 1:05:38.120
<v Speaker 13>of things. And so now coming back to your question

1:05:38.240 --> 1:05:43.400
<v Speaker 13>around how we use AI, we have basically built we

1:05:43.520 --> 1:05:46.720
<v Speaker 13>use a type of AI called discriminative AI where we

1:05:46.840 --> 1:05:50.640
<v Speaker 13>have created a lot of clean training data where merchants

1:05:50.640 --> 1:05:53.760
<v Speaker 13>on our team over the last few years have manually

1:05:53.920 --> 1:05:56.800
<v Speaker 13>labeled all of the products and added a lot of

1:05:56.840 --> 1:06:00.160
<v Speaker 13>the language of the consumer on every single product.

1:06:00.280 --> 1:06:03.080
<v Speaker 11>How long does it take to do that kind of process?

1:06:03.200 --> 1:06:07.000
<v Speaker 13>Seems very painful. It's a very very difficult process where

1:06:07.080 --> 1:06:10.760
<v Speaker 13>you almost have to create the definitions in fashion in

1:06:10.800 --> 1:06:15.200
<v Speaker 13>a very very clean mathematical way, where our merchants know

1:06:15.400 --> 1:06:18.960
<v Speaker 13>the difference between boho and boho chic for example. Right,

1:06:19.280 --> 1:06:22.160
<v Speaker 13>it needs to be really really clean data for AI

1:06:22.280 --> 1:06:25.800
<v Speaker 13>to understand all of the different types of language that

1:06:25.920 --> 1:06:29.640
<v Speaker 13>our consumers use or just over our consumers use. And

1:06:30.040 --> 1:06:32.960
<v Speaker 13>so it's it's not an easy thing. It's a very

1:06:33.040 --> 1:06:35.600
<v Speaker 13>very difficult labors process that we've gone through to be

1:06:35.640 --> 1:06:39.080
<v Speaker 13>able to create all this clean training data which we

1:06:39.200 --> 1:06:43.000
<v Speaker 13>then fed to our AI engines which now which are

1:06:43.040 --> 1:06:46.520
<v Speaker 13>now doing a really good job of predicting all of

1:06:46.560 --> 1:06:50.840
<v Speaker 13>these attributes on these products, which is basically the images.

1:06:50.920 --> 1:06:53.960
<v Speaker 13>So in short, we have built the technology that can

1:06:54.040 --> 1:06:58.800
<v Speaker 13>extract attributes in the language that consumers understand out of images.

1:06:59.240 --> 1:07:01.200
<v Speaker 2>That was perfect good to a co founder and CEO

1:07:01.480 --> 1:07:04.280
<v Speaker 2>at LILYAI. And that wraps up the weekend edition of

1:07:04.320 --> 1:07:06.960
<v Speaker 2>Bloomberg Business Week from Bloomberg Radio. Thanks so much for

1:07:07.040 --> 1:07:09.520
<v Speaker 2>joining us. Be sure to tune into Bloomberg Business Week

1:07:09.560 --> 1:07:11.720
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1:07:11.760 --> 1:07:14.960
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1:07:15.200 --> 1:07:17.360
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1:07:17.360 --> 1:07:21.000
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1:07:21.160 --> 1:07:24.400
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1:07:24.440 --> 1:07:28.600
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1:07:31.840 --> 1:07:34.400
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1:07:34.480 --> 1:07:37.400
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1:07:40.080 --> 1:07:43.560
<v Speaker 2>safe weekend everyone. For Jess Matton and Simone Foxman. I'm

1:07:43.560 --> 1:07:46.880
<v Speaker 2>Tim Stenovic. Stay with us. Today's top stories and global

1:07:46.880 --> 1:07:48.960
<v Speaker 2>business headlines are coming up right now.

1:07:49.240 --> 1:07:52.439
<v Speaker 1>This is the Bloomberg Business Week Podcast. I'll a little

1:07:52.520 --> 1:07:56.040
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1:07:56.520 --> 1:08:00.160
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1:08:06.560 --> 1:08:09.960
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