WEBVTT - Bloomberg Businessweek Weekend - December 16th, 2022

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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 as it happened. Bloomberg

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<v Speaker 1>Business Week with Carol Messer and Bloomberg Quick Takes Tim

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<v Speaker 1>Stinovik on Bloomberg Radio. Hi, everyone, Welcome to the weekend

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<v Speaker 1>edition of Bloomberg Business Week. Carol Master is off the

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<v Speaker 1>head on the program will examine the state of the U. S.

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<v Speaker 1>Trucking business with carriers in the midst of the holiday deluge.

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<v Speaker 1>We'll talk restaurants with the CEO of Open Table, and

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<v Speaker 1>we'll hear from a newly minted Bloomberg fifty honoree who's

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<v Speaker 1>rewriting the labor story at Starbucks. All that to come.

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<v Speaker 1>We begin, though, with a story that everyone keeps talking about.

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<v Speaker 1>A No, we are not talking about the Fed's latest

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<v Speaker 1>interest rate hike, but f t X. Bloomberg Business Week

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<v Speaker 1>columnist Max Chafkin has a story online and on the

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<v Speaker 1>terminal that focuses on the relationship between Sam Bateman, Freed

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<v Speaker 1>and Finances. Chang Peng Jao, better known as c z

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<v Speaker 1>c Z, as you may recall, helped last month to

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<v Speaker 1>blow the whistle on his longtime rivals failures. Carolin I

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<v Speaker 1>asked Max about the implications of that with Bankman Freed,

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<v Speaker 1>who's now in custody in the Bahamas. Congress continues to

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<v Speaker 1>probe what happened. I think it's pretty clear, you know,

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<v Speaker 1>he's got some tough legal sledding ahead. It's who else

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<v Speaker 1>gets roped into this? So there are other figures um

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<v Speaker 1>connected obviously to f t x uh Carolyn Ellison of course,

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<v Speaker 1>um uh, from a girlfriend, Yeah, ex girlfriend's CEO of

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<v Speaker 1>of Alameda um. And and also kind of the person

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<v Speaker 1>that Sam Bankman Fried was sort of it kind of

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<v Speaker 1>felt like was trying to pin this all on um uh,

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<v Speaker 1>perhaps unfairly um to talk about a messy breakup, No,

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<v Speaker 1>just kidding, Yeah, and UM And then you have the

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<v Speaker 1>other crypto exchanges, and you know, we've seen this play

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<v Speaker 1>out before over the last uh a few months, where

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<v Speaker 1>we're off one exchange go down, one major player in

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<v Speaker 1>crypto go down, and it's starting to suck everybody else down.

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<v Speaker 1>We people have been talking about, you know, this this

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<v Speaker 1>sort of unfolding credit crisis, and I think it remains

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<v Speaker 1>to be seen, you know, kind of who else does

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<v Speaker 1>Sam Banquin freed, uh, you know bring down with him?

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<v Speaker 1>And and I think it's it's very possible because as

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<v Speaker 1>we've seen in sort of the details of this case,

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<v Speaker 1>these guys were all pretty tightly you know and meshed.

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<v Speaker 1>And UM. One of the interesting things, uh that in

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<v Speaker 1>the testimony that that Sam Bankman freed, which you know

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<v Speaker 1>we and others have been talking about. Uh, you know,

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<v Speaker 1>he's got these text messages from other CEOs of exchanges. Um.

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<v Speaker 1>The the the title of this text message group is

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<v Speaker 1>Exchange Coordination. UM. There you know, it's it's it's all

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<v Speaker 1>very weird and and and it makes you wonder, um

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<v Speaker 1>whether ever anybody else is potentially vulnerable either to like

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<v Speaker 1>legal um issues or potentially just asset price it's falling

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<v Speaker 1>and then hurting other companies. Right, makes me wonder like

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<v Speaker 1>how systemic all of this is and who else comes

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<v Speaker 1>down beyond the f t X kind of universe. At

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<v Speaker 1>the same time, it also makes me wonder about collusion

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<v Speaker 1>and I'm not maybe using it in a legal way. Um.

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<v Speaker 1>And and also kind of you know, HARKing back to

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<v Speaker 1>like Robert Barons, where you know, anything could happen and

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<v Speaker 1>people would get rid of their other competitors or smaller competitors,

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<v Speaker 1>because they wanted to own the marketplace. And I feel

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<v Speaker 1>like that's where potentially yeah, and well, and you look

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<v Speaker 1>at like why was Gary Gainsler, Why were people in

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<v Speaker 1>the US resistant to this, to to these companies, And

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<v Speaker 1>one reason was potential manipulation. You have all of these

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<v Speaker 1>very small number of players, um lightly changed like traded currencies,

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<v Speaker 1>and they're going around trying to pull in money from

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<v Speaker 1>from normal people. Um, which of course raises questions. Um,

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<v Speaker 1>you bring up Jao c z so Chang Peng Jao

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<v Speaker 1>uh CEO of Finance, which is the other major exchange

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<v Speaker 1>basically Sam Bankman Fried's main competitor. And over the years

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<v Speaker 1>these two had a serious rivalry where it's kind of happening,

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<v Speaker 1>as I write in the column today, this is all

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<v Speaker 1>kind of happening behind the scenes. But they were both

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<v Speaker 1>and in binance this case, are both operating in regulatory

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<v Speaker 1>gray areas. So as we know, Sam Bankman Freed based

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<v Speaker 1>on the Bahamas was operating this kind of quote unquote

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<v Speaker 1>offshoring exchange Finance kind of same situation operating. UM. No

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<v Speaker 1>one really knows where that's that's the main difference there

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<v Speaker 1>as far as we're concerned. We don't know where where

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<v Speaker 1>Binances headquarters is, but it's the same thing where um

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<v Speaker 1>they're trading these alt coins um s coins are sometimes

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<v Speaker 1>called as well as crypto derivatives. Much of that is

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<v Speaker 1>not allowed in the US, and as a result, they're

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<v Speaker 1>in this kind of regulatory gray area and and that

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<v Speaker 1>has left them kind of vulnerable to you know, potential

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<v Speaker 1>sec sanction, CFTC, potentially even criminal investigation. What we saw

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<v Speaker 1>behind the scenes is that Jao and Sam bankmun freed,

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<v Speaker 1>we're kind of vying to find a way to sort

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<v Speaker 1>of legalize their business, to take this business from the

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<v Speaker 1>gray area and bring it into the light. And I

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<v Speaker 1>think that's part of what led to the conflict and

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<v Speaker 1>maybe even part of what led to the to the

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<v Speaker 1>run on withdrawals that ultimately, um, you know, exposed the

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<v Speaker 1>f t X, the alleged fraud at f t X.

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<v Speaker 1>Well go back to this idea of fud if you're

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<v Speaker 1>uncertainty and doubt, because a big portion of your column

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<v Speaker 1>today is about that, And I don't know if you've

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<v Speaker 1>you know, found yourself at the center of this at all, Max,

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<v Speaker 1>But if you talk about crypto online, and you you

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<v Speaker 1>express any skepticism about it, you are accused of spreading fud,

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<v Speaker 1>as you write in column. So where does fud come

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<v Speaker 1>into this conflict? So everybody who's anybody in crypto has

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<v Speaker 1>like thrown around the suggestion of fud um Uh Chang

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<v Speaker 1>Pang Jao has a huge Twitter following. He's got like

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<v Speaker 1>eight million or seven million followers. I haven't I'm not

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<v Speaker 1>exactly which um, but he's he's constantly anytime anyone writes

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<v Speaker 1>anything negative, you know, he's he's calling fud um. We

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<v Speaker 1>saw about a month ago, it was kind of his

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<v Speaker 1>tweet in response to these coin desk reports. The coin

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<v Speaker 1>desk reports were about you know, this shaky balance sheet

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<v Speaker 1>um Sam Bankman Freed and his colleagues are denying it.

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<v Speaker 1>Jaw comes in and says, hey, this looks really concerned.

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<v Speaker 1>We're gonna sell our you know FTX tokens called f

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<v Speaker 1>t T And that sets off this run and and

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<v Speaker 1>in you know, in some sense, right, Jao is spreading

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<v Speaker 1>what a crypto person would call fud. On another sense,

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<v Speaker 1>he's acting as a whistleblower. He's exposing a actual flaw

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<v Speaker 1>now and and and so I think it's important, you know,

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<v Speaker 1>we've got to make that distinction. But since then, Jao

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<v Speaker 1>has kind of seemed to do the same thing to

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<v Speaker 1>a couple of other exchanges, which is interesting and and

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<v Speaker 1>and perhaps telling. Um, you know, he a couple of

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<v Speaker 1>weeks ago he sort of went after coin Base, suggesting

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<v Speaker 1>the coin base was shaky. Um coin based courses based

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<v Speaker 1>in the US has audited financial statements. Um uh, you know,

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<v Speaker 1>s serious charge. He deleted the tweet. Same thing with Cracking,

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<v Speaker 1>another um reputable exchange, and he also deleted that tweet.

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<v Speaker 1>And I think what's going on is you have the

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<v Speaker 1>ft X collapse, and that's creating a sense of panic

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<v Speaker 1>in the market, potential legal vulnerability. It's also it's also

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<v Speaker 1>shrinking the market, and it's creating an opportunity for somebody

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<v Speaker 1>like Finance or coin based or Cracking or any of

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<v Speaker 1>these people to can solidate and to and to get

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<v Speaker 1>customers in that sense, an opportunity, but it's also shrinking

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<v Speaker 1>the market dramatically. So you kind of a sense the

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<v Speaker 1>lights just came on and there aren't enough chairs. They're

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<v Speaker 1>all trying to find a chair. That was Bloomberg business,

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<v Speaker 1>We call him this Max Chafkin will continue to monitor

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<v Speaker 1>all of the latest developments with FTX and bringing the

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<v Speaker 1>news as it breaks. Now, we want to also bring

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<v Speaker 1>your attention to a great piece from Business Week National

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<v Speaker 1>correspondent Josh Green, writing for Bloomberg Opinion. This week, Josh

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<v Speaker 1>says that Elon Musk is ruining former President Donald Trump's

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<v Speaker 1>latest presidential bid. Bloomberg News senior market supporter Katie Greifeld

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<v Speaker 1>and I spoke with Josh a about the irony of

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<v Speaker 1>Musk inviting the former president back to Twitter, which would,

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<v Speaker 1>of course detract from Trump's current social media home truth

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<v Speaker 1>Social The whole rationale for having an alternative right wing

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<v Speaker 1>social media platform was to get kind of people to

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<v Speaker 1>go over there and be able to turn that into

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<v Speaker 1>a business that makes a lot of money. And chunk

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<v Speaker 1>has Trump has a chunk of that? Uh, the minute

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<v Speaker 1>everybody starts gravitating back to Twitter, and certainly if the

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<v Speaker 1>if the biggest power user of the mall and Donald

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<v Speaker 1>Trump or to go back, it would really obviate any

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<v Speaker 1>sort of a need for a right wing social platforms.

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<v Speaker 1>I think that's about the only thing that's kept him

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<v Speaker 1>from going back. But in his absence, a new Twitter

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<v Speaker 1>overlord has emerged, and that is Elon Musk And as

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<v Speaker 1>I say in the columns, he's essentially overshadowing and eclipsing uh,

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<v Speaker 1>Donald Trump, who's whose political superpower always has been to

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<v Speaker 1>be able to dominate the political conversation, largely through the

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<v Speaker 1>use of Twitter. So I'm hearing you talk, I'm reading

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<v Speaker 1>your column, and it brings me to a natural question,

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<v Speaker 1>which is, how does this end? Are we gonna be

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<v Speaker 1>watching Musk's campaign in however many years? I don't think that.

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<v Speaker 1>I don't think that Elon Musk is has any real

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<v Speaker 1>interest in politics besides just kind of weighing in with

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<v Speaker 1>his takes, which he seems to be doing about every

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<v Speaker 1>every thirty minutes on Twitter from what I can tell, um,

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<v Speaker 1>and I would I would never hazard a guest to predict,

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<v Speaker 1>you know, how Trump's campaign is going to go. But

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<v Speaker 1>I will say this, you know, tru Umps. What first

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<v Speaker 1>elevated Trump, um, you know, in national politics was his

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<v Speaker 1>ability to draw all the attention to himself, to just

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<v Speaker 1>be this constant, churning story that you couldn't look away from,

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<v Speaker 1>that eclipsed everybody else, and that drove the news cycle

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<v Speaker 1>on Twitter on cable media on newspaper headlines. And the

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<v Speaker 1>one thing that Trump has really lost since January six,

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<v Speaker 1>since he was the platform, was his ability to do that.

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<v Speaker 1>He just doesn't have the outlet he once did. Uh

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<v Speaker 1>And as we can see him, he launched his presidential

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<v Speaker 1>campaign three weeks ago and it's pretty much been crickets

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<v Speaker 1>ever since then. He really the only real topic of

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<v Speaker 1>conversation was his dining with with white nationalists, and that's

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<v Speaker 1>sorta of not the kind of press that you want

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<v Speaker 1>when you're trying to launch a white house bit. But

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<v Speaker 1>what has replaced that the guy who was driving the

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<v Speaker 1>news cycle all day and all night is now Elon Musk,

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<v Speaker 1>And if that lane is occupied by Musk, it's gonna

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<v Speaker 1>make it awfully difficult for Trump to to become what

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<v Speaker 1>he it was. Well, what if that lane is occupied

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<v Speaker 1>by Elon Musk and then Elon Musk then goes and

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<v Speaker 1>decides to get behind someone like Rhonda Santis for example. Well,

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<v Speaker 1>I think it's problematic for Trump. And you can see

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<v Speaker 1>this in all sorts of ways. I mean in the column.

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<v Speaker 1>You know, I looked at Twitter followers, Musk has fifty

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<v Speaker 1>million more. I looked at Google search mentions. Uh, Elon

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<v Speaker 1>Musk is easily eclipsing Donald Trump. But I think what's

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<v Speaker 1>even more important from political standpoint is if you go

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<v Speaker 1>to a place like bright Barton News, the hard right

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<v Speaker 1>news site to help launch Donald Trump. Uh, they now

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<v Speaker 1>have a vertical on Elon Musk and they're writing about

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<v Speaker 1>his Twitter stuff every day, and Trump is almost an afterthought.

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<v Speaker 1>You know, it's buried at the bottom of the page.

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<v Speaker 1>That was Business Week National correspondent Josh Green with Katie

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<v Speaker 1>Gradfeld and me. Check out Josh's full piece online or

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<v Speaker 1>on the terminal by typing O P I N go.

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<v Speaker 1>You're listening to Bloomberg business Week. Coming up next, the

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<v Speaker 1>president of shipping payments platform Triumph Pay breaks down the

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<v Speaker 1>massive volume of packages on the move this holiday season.

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<v Speaker 1>This is Bloomberg. This is Bloomberg Business Week with Carol

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<v Speaker 1>Messer and Bloomberg Quick Takes. Tim Stinovan from Bloomberg Radio.

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<v Speaker 1>American ship more than fifty million packages last holiday season

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<v Speaker 1>with the US Postal Service, and with package volumes continuing

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<v Speaker 1>to increase, thanks in large part to the rise of

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<v Speaker 1>online shopping, the agency is preparing for an even higher

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<v Speaker 1>volume of parcels this year. The trucking industry helps move

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<v Speaker 1>many of those around the country, but driver shortages are

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<v Speaker 1>creating doubts that everything can get to its intended destination

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<v Speaker 1>and on time. Melissa Foreman is the president at Triumph Pay.

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<v Speaker 1>This is a payment platform and what it does is

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<v Speaker 1>it connects brokers, shippers and carriers. It's a division of

0:11:44.280 --> 0:11:46.240
<v Speaker 1>t b K Bank, member of the f d i C,

0:11:46.440 --> 0:11:49.000
<v Speaker 1>and part of the publicly traded Triumph Financial. It's got

0:11:49.040 --> 0:11:51.880
<v Speaker 1>about a one point three billion dollar market cap. We

0:11:51.920 --> 0:11:55.800
<v Speaker 1>asked Melissa for her assessment. Were uniquely positioned, given where

0:11:55.840 --> 0:11:59.199
<v Speaker 1>we sit within the transaction flow of payments, to really

0:11:59.240 --> 0:12:02.840
<v Speaker 1>have a good understanding of what drivers and carriers and

0:12:02.920 --> 0:12:05.520
<v Speaker 1>carriers are experiencing in the industry. And so Try and

0:12:05.640 --> 0:12:08.920
<v Speaker 1>Pay makes about twenty four billion dollars annalyzed payments um

0:12:09.360 --> 0:12:13.439
<v Speaker 1>two carriers per year, and that's the most of anybody

0:12:13.480 --> 0:12:16.160
<v Speaker 1>in the industry. And so in doing that, it gives

0:12:16.240 --> 0:12:19.360
<v Speaker 1>us that unique view. And we recently did a survey

0:12:19.400 --> 0:12:23.679
<v Speaker 1>of our drivers that we're paying, and what's happening right

0:12:23.679 --> 0:12:26.319
<v Speaker 1>now is is truly unprecedented. You know, when you look

0:12:26.360 --> 0:12:31.079
<v Speaker 1>at the full truckload market, consumer spending and shifting from

0:12:31.080 --> 0:12:33.960
<v Speaker 1>products to services, and so what does that mean on

0:12:34.000 --> 0:12:36.600
<v Speaker 1>the transportation industry. It means that the trucks you know

0:12:36.640 --> 0:12:39.200
<v Speaker 1>aren't aren't getting full, the inventories are high, and in

0:12:39.240 --> 0:12:42.080
<v Speaker 1>all of the retail chains that are out there, and

0:12:42.120 --> 0:12:45.559
<v Speaker 1>so they're just not re stalking all of that. Um.

0:12:45.640 --> 0:12:48.000
<v Speaker 1>When we talked to our drivers out there, they said

0:12:48.880 --> 0:12:52.400
<v Speaker 1>of them indicated that their revenues in twenty two were

0:12:52.600 --> 0:12:56.040
<v Speaker 1>down from one And while twenty two started strong in

0:12:56.040 --> 0:12:58.480
<v Speaker 1>the freight market, we've seen, you know, on the spot

0:12:58.559 --> 0:13:01.760
<v Speaker 1>side of that in the last you know, two quarters,

0:13:02.120 --> 0:13:05.920
<v Speaker 1>a significant cliff where it's where it's fallen off. UM.

0:13:06.000 --> 0:13:09.240
<v Speaker 1>And those guys out there are saying, guys and gales

0:13:09.600 --> 0:13:12.040
<v Speaker 1>that spot rates are their number one concern, and you

0:13:12.120 --> 0:13:14.320
<v Speaker 1>have to ask yourself, why why does that matter? You know,

0:13:14.360 --> 0:13:17.280
<v Speaker 1>spot rates aren't lower than they were a few years ago.

0:13:17.640 --> 0:13:20.920
<v Speaker 1>There still would seem healthy in comparison to previous years.

0:13:20.960 --> 0:13:24.640
<v Speaker 1>But what's changed over the pandemic and COVID in the

0:13:24.640 --> 0:13:27.080
<v Speaker 1>supply chain issues that we've had over the last couple

0:13:27.120 --> 0:13:30.599
<v Speaker 1>of years is that the you know, inflation has increased

0:13:30.840 --> 0:13:33.959
<v Speaker 1>the cost of their equipment. Fuel prices are at record

0:13:34.040 --> 0:13:37.160
<v Speaker 1>highs for diesel, and so when you compound that with

0:13:37.240 --> 0:13:41.400
<v Speaker 1>the rising interest rates, their cost to operate has skyrocketed.

0:13:41.760 --> 0:13:44.480
<v Speaker 1>And so what would have been a healthy level a

0:13:44.520 --> 0:13:47.240
<v Speaker 1>couple of years ago is now in many cases where

0:13:47.280 --> 0:13:50.440
<v Speaker 1>carriers are taking on freight where they're they're hauling that

0:13:50.480 --> 0:13:54.560
<v Speaker 1>load at a loss. What's even more pressing about that

0:13:54.720 --> 0:13:57.559
<v Speaker 1>is that they have to do that in front all

0:13:57.640 --> 0:14:01.000
<v Speaker 1>the expenses to be able to pay for the fuel,

0:14:01.080 --> 0:14:05.559
<v Speaker 1>pay for the drivers, you know, settlements, pay for the equipment, insurance,

0:14:06.040 --> 0:14:08.080
<v Speaker 1>and they're doing that up front, but yet they have

0:14:08.160 --> 0:14:10.120
<v Speaker 1>to wait thirty to sixty days to get paid, and

0:14:10.160 --> 0:14:13.000
<v Speaker 1>so it just further compresses them and puts in a

0:14:13.040 --> 0:14:16.200
<v Speaker 1>position where they're just being squeezed out of the market.

0:14:16.320 --> 0:14:18.640
<v Speaker 1>It's really hard for them to operate. Right now, we listen,

0:14:19.080 --> 0:14:21.840
<v Speaker 1>help me understand what goes on in the trucking market.

0:14:21.840 --> 0:14:24.080
<v Speaker 1>I know people who have owned their own cabs, right,

0:14:24.120 --> 0:14:27.000
<v Speaker 1>and they, I guess, do their own thing. But is

0:14:27.040 --> 0:14:30.720
<v Speaker 1>it largely kind of like individual owners of trucks or

0:14:30.760 --> 0:14:33.440
<v Speaker 1>is it a lot a lot of larger companies that

0:14:33.920 --> 0:14:36.760
<v Speaker 1>have their trucker base. Yeah, if you could explain some

0:14:36.800 --> 0:14:39.840
<v Speaker 1>of the dynamics of the industry, sure, care. That's that's

0:14:39.840 --> 0:14:43.479
<v Speaker 1>a great question. And if you look at the truckload

0:14:43.640 --> 0:14:47.520
<v Speaker 1>over the road market for higher about eight five cent

0:14:47.640 --> 0:14:51.800
<v Speaker 1>to of trucking companies are five trucks are less. So

0:14:51.840 --> 0:14:55.560
<v Speaker 1>they are small businesses live in the American dream, trying

0:14:55.600 --> 0:15:00.200
<v Speaker 1>to build you know, their their businesses, and you they

0:15:00.240 --> 0:15:03.600
<v Speaker 1>have all this this upfront expense and and these pressures

0:15:03.640 --> 0:15:06.920
<v Speaker 1>that are that are squeezing out their margins. Well, is

0:15:06.960 --> 0:15:10.880
<v Speaker 1>it any different though, from anyone else who either has

0:15:10.880 --> 0:15:12.520
<v Speaker 1>to get in a car to head to work or

0:15:12.600 --> 0:15:14.800
<v Speaker 1>has to buy clothes to go to work? Like, tell me,

0:15:15.720 --> 0:15:17.840
<v Speaker 1>is it not just kind of the same that everybody's

0:15:17.880 --> 0:15:20.520
<v Speaker 1>facing right now? And it's companies are trying to figure

0:15:20.560 --> 0:15:24.680
<v Speaker 1>out the balance between raising wages right to meet what's

0:15:24.680 --> 0:15:27.920
<v Speaker 1>going on with the inflation pressures. And we talk a

0:15:27.920 --> 0:15:30.520
<v Speaker 1>lot about wage in flash and flash and wages have

0:15:30.560 --> 0:15:32.720
<v Speaker 1>gotten up a lot, but you know what's the balance

0:15:32.800 --> 0:15:35.240
<v Speaker 1>Because if you raise the costs the wages too much

0:15:35.280 --> 0:15:37.080
<v Speaker 1>and everything gets too expensive, you do wonder if people

0:15:37.080 --> 0:15:40.000
<v Speaker 1>are going to slow down on demand. For those in

0:15:40.040 --> 0:15:44.200
<v Speaker 1>the trucking industry, it is quite similar. However, it trails

0:15:44.600 --> 0:15:47.920
<v Speaker 1>um what what consumers do a little bit longer. And

0:15:48.000 --> 0:15:51.040
<v Speaker 1>so because of the cost to acquire that equipment, you

0:15:51.120 --> 0:15:54.440
<v Speaker 1>have these assets, and you know, these carriers are fighting

0:15:54.520 --> 0:15:56.480
<v Speaker 1>hard to keep them on the road and to keep

0:15:56.520 --> 0:15:59.080
<v Speaker 1>them profitable. You can't just say one day, I'm going

0:15:59.160 --> 0:16:01.120
<v Speaker 1>to take a different job where i make more money.

0:16:01.240 --> 0:16:04.480
<v Speaker 1>You've got an expense that you have to handle UM

0:16:04.560 --> 0:16:08.320
<v Speaker 1>and either offload or take a loss. And and so

0:16:08.400 --> 0:16:11.000
<v Speaker 1>they are working as hard as they can to be

0:16:11.080 --> 0:16:13.600
<v Speaker 1>able to stay in the business, stay on the road,

0:16:13.760 --> 0:16:16.680
<v Speaker 1>keep their trucks moving, but but doing so in a

0:16:16.720 --> 0:16:19.800
<v Speaker 1>profitable way. Because you can only take a loss for

0:16:19.880 --> 0:16:23.000
<v Speaker 1>so long before you either get bought right you sell

0:16:23.000 --> 0:16:26.920
<v Speaker 1>out your company UM or you've lost everything that you've built.

0:16:27.000 --> 0:16:29.880
<v Speaker 1>And so UM they tend to stay in a little

0:16:29.880 --> 0:16:32.720
<v Speaker 1>bit longer, and those that make it through survive because

0:16:32.760 --> 0:16:36.640
<v Speaker 1>we know that transportation is cyclical. And what happens is,

0:16:36.720 --> 0:16:38.880
<v Speaker 1>you know, you you have this pressure and and this

0:16:38.960 --> 0:16:41.280
<v Speaker 1>happens you know every few years where you start seeing

0:16:41.280 --> 0:16:43.920
<v Speaker 1>your capacities start to come out of the market, which

0:16:43.920 --> 0:16:48.720
<v Speaker 1>will rebalance UM. But again it's lagging, and so to

0:16:48.800 --> 0:16:51.760
<v Speaker 1>get that capacity back in the market is also lagging.

0:16:52.120 --> 0:16:55.560
<v Speaker 1>And so as you know, we look forward to probably

0:16:55.680 --> 0:16:58.120
<v Speaker 1>end up twenty three or even beyond, when things start

0:16:58.160 --> 0:17:02.560
<v Speaker 1>to stabilize a little bit and consumer um spending shifts

0:17:02.560 --> 0:17:05.720
<v Speaker 1>back to products. We've got to make sure that those

0:17:05.720 --> 0:17:08.240
<v Speaker 1>carriers are there and that the drivers are there and

0:17:08.280 --> 0:17:09.879
<v Speaker 1>able to haul that freight for us, or will be

0:17:09.880 --> 0:17:12.080
<v Speaker 1>in a similar situation that we ran into at the

0:17:12.119 --> 0:17:15.480
<v Speaker 1>beginning of COVID where there just was no capacity UM

0:17:15.480 --> 0:17:18.720
<v Speaker 1>and back in in a significant driver shortage situation. For

0:17:18.760 --> 0:17:22.080
<v Speaker 1>a decade, we've been hearing about automation in the context

0:17:22.119 --> 0:17:25.600
<v Speaker 1>of driverless trucks. Good question, you're laughing, you're laughing, and

0:17:25.720 --> 0:17:27.439
<v Speaker 1>it's it's interesting. I mean, I remember being at a

0:17:27.480 --> 0:17:30.679
<v Speaker 1>dinner with a Silicon Valley friend who was early at

0:17:30.680 --> 0:17:32.720
<v Speaker 1>one of the Silicon Valley firms, and he said, we

0:17:32.760 --> 0:17:34.600
<v Speaker 1>are going to see a revolution in trucking and and

0:17:34.640 --> 0:17:37.520
<v Speaker 1>this was more than five years ago because of driverless trucks.

0:17:37.760 --> 0:17:39.240
<v Speaker 1>We haven't seen them yet. Are we going to see

0:17:39.240 --> 0:17:42.000
<v Speaker 1>them on a large scale anytime soon? There is certainly

0:17:42.119 --> 0:17:45.399
<v Speaker 1>some some efficiencies you can gain, and there's some applications

0:17:45.480 --> 0:17:48.800
<v Speaker 1>for it. Um. But you know, if we haven't mastered

0:17:48.840 --> 0:17:51.119
<v Speaker 1>how to get a car to to be driverless on

0:17:51.160 --> 0:17:53.760
<v Speaker 1>the road, UM, it's really hard to to do that

0:17:53.800 --> 0:17:56.600
<v Speaker 1>with with a long haul truck, right Amy, Lissa, What

0:17:56.920 --> 0:18:00.640
<v Speaker 1>do truckers get paid? Oh, it depends so so right now,

0:18:00.680 --> 0:18:03.040
<v Speaker 1>if you look at spot rates, Um, it's around a

0:18:03.080 --> 0:18:06.199
<v Speaker 1>dollar eighty six per mile, and that is you know,

0:18:06.280 --> 0:18:08.520
<v Speaker 1>that's all in there, two dollars a mile, that's all in.

0:18:08.600 --> 0:18:11.879
<v Speaker 1>They have to pay for their their truck, their fuel. Um.

0:18:12.119 --> 0:18:15.320
<v Speaker 1>Most trucks are are running around you know, five to

0:18:15.760 --> 0:18:19.320
<v Speaker 1>eight maybe nine if they're if they're brand new, miles

0:18:19.320 --> 0:18:22.360
<v Speaker 1>per gallon and so they're not the most efficient vehicles

0:18:22.359 --> 0:18:26.720
<v Speaker 1>out there. So um, they it's it's their margins are

0:18:26.760 --> 0:18:31.080
<v Speaker 1>are you know, anywhere from eight to twelve maybe fift

0:18:31.760 --> 0:18:34.399
<v Speaker 1>on the high end in a good market. Um, and

0:18:34.440 --> 0:18:38.199
<v Speaker 1>that's without the you know, the higher inflation and costs

0:18:38.200 --> 0:18:41.080
<v Speaker 1>of their equipment and their financing to get that equipment

0:18:41.080 --> 0:18:43.000
<v Speaker 1>that has gone up recently. What are the rules in

0:18:43.040 --> 0:18:46.080
<v Speaker 1>place to prevent drivers from driving long hours so they

0:18:46.119 --> 0:18:48.480
<v Speaker 1>don't get too tired if if this incentive system is

0:18:48.520 --> 0:18:52.280
<v Speaker 1>in place that actually you know pays people per Miley, Yeah,

0:18:52.320 --> 0:18:56.879
<v Speaker 1>absolutely so. FMCSA has hours of service regulations that are

0:18:56.880 --> 0:19:00.560
<v Speaker 1>in place all drivers, certainly those that at that cross

0:19:00.600 --> 0:19:03.480
<v Speaker 1>border and run outside of a hunter mile radius, adhere

0:19:03.520 --> 0:19:08.280
<v Speaker 1>to standards, and they have electronic logs that keep track

0:19:08.320 --> 0:19:11.600
<v Speaker 1>of every minute of their day. So they have to

0:19:11.640 --> 0:19:14.520
<v Speaker 1>log when they're resting, they have to log when they're sleeping,

0:19:14.600 --> 0:19:16.639
<v Speaker 1>they have to log when they're on duty, off duty,

0:19:16.680 --> 0:19:20.399
<v Speaker 1>not driving. Every part of their day is tracked and

0:19:20.800 --> 0:19:24.840
<v Speaker 1>the formulas will tell them how much they can drive today.

0:19:24.880 --> 0:19:27.400
<v Speaker 1>And so when you think about, you know, the driver shortage,

0:19:27.720 --> 0:19:31.200
<v Speaker 1>a big part of that came from, you know, implementing

0:19:31.680 --> 0:19:34.439
<v Speaker 1>the electronic log you know, those which which held drivers

0:19:34.440 --> 0:19:36.800
<v Speaker 1>accountable to not being able to go over their hours.

0:19:37.000 --> 0:19:40.200
<v Speaker 1>That was Melissa Foreman, she's the president at Triumph Bay.

0:19:40.359 --> 0:19:42.439
<v Speaker 1>Still ahead on Bloomberg Business Week, we go from the

0:19:42.480 --> 0:19:45.359
<v Speaker 1>shipping economy to the local economy for an in depth

0:19:45.359 --> 0:19:48.720
<v Speaker 1>conversation with the mayor of Tulsa, Oklahoma, GT Bind them.

0:19:48.800 --> 0:19:52.800
<v Speaker 1>The big concern is inflation UH and the challenges that

0:19:52.880 --> 0:19:56.240
<v Speaker 1>presents with keeping up with cost UH costs as a

0:19:56.320 --> 0:19:58.560
<v Speaker 1>city government where we have to have a balanced budget

0:19:58.600 --> 0:20:01.359
<v Speaker 1>every year and providing the level of service that people

0:20:01.400 --> 0:20:04.719
<v Speaker 1>expect when the cost of doing everything, whether that's fixing

0:20:04.760 --> 0:20:08.200
<v Speaker 1>a street or hiring a police officer is dramatically more

0:20:08.240 --> 0:20:10.720
<v Speaker 1>expensive than it was just two years ago. This is

0:20:10.720 --> 0:20:19.520
<v Speaker 1>Bloomberg Broadcasting from the financial capital of the World, Bloomberg

0:20:19.560 --> 0:20:22.359
<v Speaker 1>Eleve in Rio in New York to Washington, d C.

0:20:22.520 --> 0:20:27.240
<v Speaker 1>Bloomberg to Boston, Bloomberg one, O six one to San Francisco,

0:20:27.320 --> 0:20:31.000
<v Speaker 1>Bloomberg nine to the Country Sirius XM Chamber one nine

0:20:31.400 --> 0:20:34.880
<v Speaker 1>and around the globe the Bloomberg Business and Bloomberg Radio

0:20:35.040 --> 0:20:39.119
<v Speaker 1>dot Com. This is Bloomberg Business Week with Carol Messer

0:20:39.359 --> 0:20:45.760
<v Speaker 1>and Bloomberg Quick Takes Tim Stinovan on Bloomberg Radio. From

0:20:45.800 --> 0:20:47.760
<v Speaker 1>time to time, we like to check in with mayors

0:20:47.760 --> 0:20:50.520
<v Speaker 1>from some of America's great cities. It really helps us

0:20:50.560 --> 0:20:52.520
<v Speaker 1>get a feel for life on the ground and gain

0:20:52.560 --> 0:20:56.399
<v Speaker 1>insight into growth, labor markets, investment, innovation and more. Today

0:20:56.400 --> 0:20:59.800
<v Speaker 1>we're focusing on Tulsa, Oklahoma. Back in the fall, Bloomberg

0:20:59.800 --> 0:21:03.200
<v Speaker 1>News reported that a consortium including Devon Energy, Williams Companies,

0:21:03.200 --> 0:21:06.080
<v Speaker 1>and more is partnering with a Tulsa nonprofit founded by

0:21:06.119 --> 0:21:08.919
<v Speaker 1>the George Kaiser Family Foundation. The hope here is to

0:21:08.960 --> 0:21:11.119
<v Speaker 1>bring as many as two thousand energy tech jobs to

0:21:11.160 --> 0:21:14.280
<v Speaker 1>Oklahoma over the next five to ten years. Carol and

0:21:14.359 --> 0:21:17.000
<v Speaker 1>I recently had the opportunity to welcome Tulsa Mayo GT

0:21:17.119 --> 0:21:20.160
<v Speaker 1>bin Um into our studios and despite a rather gloomy

0:21:20.160 --> 0:21:24.199
<v Speaker 1>economic outlook for the US heading into mayor, Bynum is

0:21:24.240 --> 0:21:27.359
<v Speaker 1>not buying in. Everything in in Tulsa right now is

0:21:27.480 --> 0:21:30.600
<v Speaker 1>very strong. I mean, we're seeing probably the greatest moment

0:21:30.680 --> 0:21:33.440
<v Speaker 1>of investment in the history of the city is occurring

0:21:33.560 --> 0:21:37.840
<v Speaker 1>right now, both across the public and private sectors. Um

0:21:38.080 --> 0:21:42.040
<v Speaker 1>Our core industries in Tulsa course are energy, aeros and aerospace,

0:21:42.720 --> 0:21:46.199
<v Speaker 1>but we're also seeing a tremendous level of interest and

0:21:46.240 --> 0:21:50.280
<v Speaker 1>investment around advanced mobility. That's something that we just secured.

0:21:50.760 --> 0:21:52.960
<v Speaker 1>We're one of twenty one cities out of six hundred

0:21:53.000 --> 0:21:55.719
<v Speaker 1>that applied that secured a Build Back Better Regional Challenge

0:21:55.720 --> 0:21:58.359
<v Speaker 1>grant from U S Department of Commerce, and we're using

0:21:58.400 --> 0:22:01.200
<v Speaker 1>that to build the advanced mobility industry and Tulsa. That's

0:22:01.280 --> 0:22:04.440
<v Speaker 1>expected to develop thirty to forty thousand new jobs over

0:22:04.440 --> 0:22:08.520
<v Speaker 1>the next few years with a projected economic impact between

0:22:08.560 --> 0:22:11.400
<v Speaker 1>three and a half and five billion dollars. So right now,

0:22:11.440 --> 0:22:14.399
<v Speaker 1>I mean, the economy is very strong for US, I think,

0:22:14.480 --> 0:22:18.400
<v Speaker 1>and as a mayor, the big concern is inflation UH

0:22:18.240 --> 0:22:21.240
<v Speaker 1>and the challenges that presents with keeping up with costs

0:22:21.240 --> 0:22:23.040
<v Speaker 1>as a city government where we have to have a

0:22:23.080 --> 0:22:26.119
<v Speaker 1>balanced budget every year and providing the level of service

0:22:26.160 --> 0:22:29.200
<v Speaker 1>that people expect when the cost of doing everything, whether

0:22:29.320 --> 0:22:32.520
<v Speaker 1>that's fixing a street or hiring a police officer, is

0:22:32.640 --> 0:22:35.200
<v Speaker 1>dramatically more expensive than it was just two years ago.

0:22:35.320 --> 0:22:37.760
<v Speaker 1>We also want to mention that Mr Mayor has participated

0:22:37.840 --> 0:22:40.840
<v Speaker 1>in the Bloomberg Harvard City Leadership Initiative and also the

0:22:40.840 --> 0:22:44.600
<v Speaker 1>Bloomberg Philanthropist City Data Alliance. Of course, these have been

0:22:44.640 --> 0:22:47.399
<v Speaker 1>founded by Michael R. Bloomberg, founder of Bloomberg LP and

0:22:47.440 --> 0:22:51.840
<v Speaker 1>Bloomberg Philanthropies. Um herepinum, What would you like your economy

0:22:51.840 --> 0:22:54.399
<v Speaker 1>to be? Energy has been a blessing right, but it

0:22:54.440 --> 0:22:57.480
<v Speaker 1>can be a curse in terms of overexposure. Where do

0:22:57.520 --> 0:22:59.640
<v Speaker 1>you want your economy to be? And let's say five

0:22:59.720 --> 0:23:02.320
<v Speaker 1>years Well, I think the key for us is that

0:23:02.680 --> 0:23:06.240
<v Speaker 1>we want our economy to be diversified and be one

0:23:06.359 --> 0:23:09.520
<v Speaker 1>where it's creating equality of opportunity in our city. We

0:23:09.640 --> 0:23:13.360
<v Speaker 1>have consolidated all of our economic development efforts in Tulsa

0:23:13.760 --> 0:23:17.560
<v Speaker 1>behind that goal of using economic development to drive equality

0:23:17.600 --> 0:23:20.920
<v Speaker 1>of opportunity in our city. We think that the advanced

0:23:20.960 --> 0:23:25.919
<v Speaker 1>mobility industry presents a really great opportunity right now in

0:23:26.080 --> 0:23:28.800
<v Speaker 1>the history of that industry, we see advanced mobility. You

0:23:28.800 --> 0:23:32.600
<v Speaker 1>mean specifically for us what I'm talking about there would

0:23:32.600 --> 0:23:37.719
<v Speaker 1>be drones, electric vehicles, autonomous vehicles. The funding that we

0:23:37.760 --> 0:23:40.479
<v Speaker 1>received from US to prominent commerce, we're using to build

0:23:40.600 --> 0:23:43.800
<v Speaker 1>a hundred and ten mile drone testing corridor through the

0:23:43.840 --> 0:23:46.680
<v Speaker 1>O s Age Nation. UH that that they are going

0:23:46.720 --> 0:23:51.800
<v Speaker 1>to build. We're building an autonomous benefit correct, the O

0:23:51.960 --> 0:23:54.439
<v Speaker 1>s Age Nation. We Tulsa is at the intersection of

0:23:54.680 --> 0:23:58.679
<v Speaker 1>three tribal nations their Sage, Cherokee, and Muskogee Creek. We

0:23:58.760 --> 0:24:02.480
<v Speaker 1>work with all three of them on our economic development efforts,

0:24:03.280 --> 0:24:05.880
<v Speaker 1>but we think that that one is a big one.

0:24:06.119 --> 0:24:09.760
<v Speaker 1>The other key one for us UH Tulsa. Actually we

0:24:09.840 --> 0:24:12.199
<v Speaker 1>get no attention for this, but it's kind of by design.

0:24:12.720 --> 0:24:16.119
<v Speaker 1>The University of Tulsa is probably the leading university in

0:24:16.160 --> 0:24:20.399
<v Speaker 1>the nation when it comes to graduating cybersecurity graduates. And

0:24:20.440 --> 0:24:22.560
<v Speaker 1>it's not going to go away. It's not a fad.

0:24:23.000 --> 0:24:25.080
<v Speaker 1>Something's growing in. So the great challenge for US is

0:24:25.119 --> 0:24:28.159
<v Speaker 1>to have that intellectual capital at our university and how

0:24:28.160 --> 0:24:31.560
<v Speaker 1>do we translate that into new companies and job creation.

0:24:31.680 --> 0:24:34.560
<v Speaker 1>How do you get those students who graduate to stay

0:24:34.640 --> 0:24:37.080
<v Speaker 1>in Tulsa and work for companies that are there, right,

0:24:37.200 --> 0:24:39.480
<v Speaker 1>you know, educate them, but you want that younger generation

0:24:39.520 --> 0:24:42.240
<v Speaker 1>to stick around. Oh no, I mean that's the challenges

0:24:42.800 --> 0:24:46.320
<v Speaker 1>federal agencies. Historically, I've just vacuumed up all these graduates

0:24:46.480 --> 0:24:48.960
<v Speaker 1>and they've gone all over the world rather than staying

0:24:48.960 --> 0:24:53.760
<v Speaker 1>in Tulsa. You mentioned that George splies you said that,

0:24:53.840 --> 0:24:58.080
<v Speaker 1>not me go on that. You mentioned that George Kaiser

0:24:58.119 --> 0:25:01.199
<v Speaker 1>Family Foundation. They're actually working with the University of Tulsa

0:25:01.280 --> 0:25:05.560
<v Speaker 1>to lead an initiative that that spurs the growth of

0:25:05.640 --> 0:25:10.080
<v Speaker 1>companies by graduates coming out of the University of tulsas

0:25:10.080 --> 0:25:12.880
<v Speaker 1>cybersecurity programs. So that it has two arms, has one

0:25:12.880 --> 0:25:16.720
<v Speaker 1>where it's preparing graduates for public service and then it

0:25:16.760 --> 0:25:20.280
<v Speaker 1>has spying you can say, for public service, which might

0:25:20.320 --> 0:25:23.440
<v Speaker 1>be a public service, and then uh an arm that's

0:25:23.480 --> 0:25:27.600
<v Speaker 1>there for business growth and entrepreneurship. What's the trickiest part

0:25:27.640 --> 0:25:29.359
<v Speaker 1>of your job right now in terms of as you

0:25:29.359 --> 0:25:31.240
<v Speaker 1>look at the economy, there's a lot of uncertainty. Tim

0:25:31.320 --> 0:25:33.640
<v Speaker 1>kicked it off the conversation about we're trying to figure

0:25:33.680 --> 0:25:36.439
<v Speaker 1>out what next year holds for us, even in a

0:25:36.520 --> 0:25:39.440
<v Speaker 1>downturn because of the energy pad and the energy crunch

0:25:39.480 --> 0:25:41.520
<v Speaker 1>that we've seen. Does that give you guys a lot

0:25:41.560 --> 0:25:44.120
<v Speaker 1>of room? I mean, the trickiest part of my job

0:25:44.200 --> 0:25:48.240
<v Speaker 1>right now is that there is so much growth UH

0:25:48.280 --> 0:25:50.520
<v Speaker 1>that we don't want to get out too far over

0:25:50.560 --> 0:25:53.000
<v Speaker 1>our skis where we find ourselves in a position. I

0:25:53.359 --> 0:25:57.080
<v Speaker 1>started as a city councilor UH two months before the

0:25:57.080 --> 0:26:00.199
<v Speaker 1>Great Recession began, and I saw what happens to a

0:26:00.240 --> 0:26:03.480
<v Speaker 1>local government that builds in costs that all of a

0:26:03.560 --> 0:26:05.720
<v Speaker 1>sudden you wake up one day and realize you can't

0:26:05.760 --> 0:26:08.440
<v Speaker 1>cover anymore and you have to start looking at laying

0:26:08.520 --> 0:26:11.359
<v Speaker 1>up police officers and firefighters. And no, no mayor, and

0:26:11.400 --> 0:26:13.760
<v Speaker 1>no city ever wants to be in that position. So

0:26:13.800 --> 0:26:16.399
<v Speaker 1>how do you maximize the growth of our city and

0:26:16.840 --> 0:26:19.440
<v Speaker 1>move with the opportunities we have before us right now?

0:26:20.080 --> 0:26:22.919
<v Speaker 1>But to the point you're raising earlier about what these

0:26:22.960 --> 0:26:25.359
<v Speaker 1>CEOs are saying, we don't know what's waiting for us

0:26:25.440 --> 0:26:30.040
<v Speaker 1>in three or twenty four, and the economy always comes

0:26:30.040 --> 0:26:31.919
<v Speaker 1>down at some point, and so when will that be?

0:26:32.080 --> 0:26:34.800
<v Speaker 1>And how are we being very secure and being prepared

0:26:34.840 --> 0:26:37.560
<v Speaker 1>for that while trying to maximize growth. We had Mayor

0:26:37.560 --> 0:26:40.720
<v Speaker 1>Mattie Parker from Dallas Fort Worth here it Yeah, it's

0:26:40.800 --> 0:26:42.600
<v Speaker 1>just a few weeks ago. Um. I asked for this

0:26:42.720 --> 0:26:47.240
<v Speaker 1>question too, because both of you are young, politically moderate Republicans,

0:26:47.240 --> 0:26:49.919
<v Speaker 1>and I'm wondering if it's tough to be a moderate

0:26:49.960 --> 0:26:52.880
<v Speaker 1>Republican when you see what's happening in the Republican Party

0:26:52.920 --> 0:26:55.240
<v Speaker 1>on a national level, Like, how does that make your

0:26:55.480 --> 0:26:57.919
<v Speaker 1>job more difficult? Oh, I think it's tough to be

0:26:57.960 --> 0:27:01.439
<v Speaker 1>a moderate anybody right now. I mean, I think that

0:27:01.760 --> 0:27:04.000
<v Speaker 1>the greatest threat to our country right now is the

0:27:04.000 --> 0:27:07.240
<v Speaker 1>political polarization that occurs. It's one of the reasons I'm

0:27:07.280 --> 0:27:11.280
<v Speaker 1>so thankful that I work in local government where Republicans

0:27:11.320 --> 0:27:14.800
<v Speaker 1>and Democrats and independence still do work together to solve

0:27:14.840 --> 0:27:18.080
<v Speaker 1>practical problems. I mean, you mentioned the Bloomberg City Data Alliance.

0:27:18.080 --> 0:27:19.960
<v Speaker 1>That's one of the things I love about as a

0:27:20.160 --> 0:27:23.120
<v Speaker 1>mayor being able to utilize data. It's a tool where

0:27:23.160 --> 0:27:26.399
<v Speaker 1>you can bring people of different political philosophies together and

0:27:26.480 --> 0:27:30.560
<v Speaker 1>solve problems that they don't have to be philosophical debates.

0:27:30.560 --> 0:27:32.760
<v Speaker 1>They can be practical problems that you solve how do

0:27:32.840 --> 0:27:34.719
<v Speaker 1>we build a better street, how do we hire more

0:27:34.760 --> 0:27:37.359
<v Speaker 1>police officers? Does it make a difference, because you know,

0:27:37.400 --> 0:27:41.280
<v Speaker 1>we're very data, you know, centric, and I feel like

0:27:41.359 --> 0:27:44.000
<v Speaker 1>data tells our numbers or information tells a certain story

0:27:44.119 --> 0:27:48.160
<v Speaker 1>or tells the truth, but doesn't resonate no matter what

0:27:48.240 --> 0:27:50.320
<v Speaker 1>the political leanings might be of a party that you're

0:27:50.359 --> 0:27:53.080
<v Speaker 1>talking to. One does And I say, this is somebody

0:27:53.080 --> 0:27:55.359
<v Speaker 1>who worked as an aid in Congress for six years

0:27:55.840 --> 0:27:57.920
<v Speaker 1>before I moved home and reigned for the city council.

0:27:58.480 --> 0:28:01.840
<v Speaker 1>Uh are all of our street projects are selected based

0:28:01.880 --> 0:28:05.280
<v Speaker 1>on analytics. The numbers that we determine on how many

0:28:05.320 --> 0:28:08.880
<v Speaker 1>police officers we need, that's based on analytics. We're trying

0:28:08.920 --> 0:28:12.040
<v Speaker 1>to build out more and more utilizations of data into

0:28:12.040 --> 0:28:13.920
<v Speaker 1>the work we do as a city, so that we're

0:28:13.960 --> 0:28:18.399
<v Speaker 1>taking that that partisan polarization that you see so much

0:28:18.520 --> 0:28:21.000
<v Speaker 1>at the federal level and boil it down in a

0:28:21.000 --> 0:28:23.560
<v Speaker 1>more practical problem solving that people can get around. And

0:28:23.600 --> 0:28:28.040
<v Speaker 1>by the way, my mayoral administration it's equally divided between Republicans, Democrats,

0:28:28.040 --> 0:28:31.199
<v Speaker 1>and independence. Our city council is the same way. At

0:28:31.200 --> 0:28:34.200
<v Speaker 1>the local level, you still see that collaboration that is

0:28:34.280 --> 0:28:37.120
<v Speaker 1>non existent at the federal level, we'd be mass We've

0:28:37.119 --> 0:28:40.240
<v Speaker 1>only got about thirty seconds. But the legacy of Black

0:28:40.240 --> 0:28:43.200
<v Speaker 1>Wall Street. Um, how does that factor in? Well, I mean,

0:28:43.240 --> 0:28:45.120
<v Speaker 1>that's driving so much of what we do right now.

0:28:45.160 --> 0:28:48.160
<v Speaker 1>I ran for mayor Uh. I decided to run from

0:28:48.160 --> 0:28:50.239
<v Speaker 1>mayor the day that I realized that there was an

0:28:50.240 --> 0:28:53.480
<v Speaker 1>eleven year life expectancy gap between kids growing up in

0:28:53.480 --> 0:28:55.960
<v Speaker 1>the predominantly African American part of tuls and the rest

0:28:56.000 --> 0:28:58.880
<v Speaker 1>of the city. As a dad of two kids, I

0:28:58.920 --> 0:29:00.680
<v Speaker 1>wanted the kids growing up in that part of the

0:29:00.680 --> 0:29:03.520
<v Speaker 1>city have the same opportunities that my kids do. And

0:29:03.560 --> 0:29:05.560
<v Speaker 1>so everything that we're doing is a city right now

0:29:05.600 --> 0:29:09.719
<v Speaker 1>around economic development and city services, is around creating that

0:29:09.880 --> 0:29:12.080
<v Speaker 1>quality of opportunity so that Tulsa really can be a

0:29:12.120 --> 0:29:14.840
<v Speaker 1>city where every kids an equal opportunity for a great life,

0:29:14.840 --> 0:29:16.720
<v Speaker 1>regardless of the part of town they're growing up in.

0:29:16.920 --> 0:29:20.040
<v Speaker 1>That was Tulsa, Oklahoma, Mayor. GT. Binum. You're listening to

0:29:20.040 --> 0:29:22.600
<v Speaker 1>Bloomberg Business Week, and coming up next, we're gonna check

0:29:22.640 --> 0:29:25.360
<v Speaker 1>in with one of the honorees from this year's Bloomberg fifty.

0:29:25.640 --> 0:29:28.280
<v Speaker 1>How Michelle Eisen went head to head with coffee Giant

0:29:28.320 --> 0:29:31.640
<v Speaker 1>Starbucks and helped galvanize a pro labor movement among its

0:29:31.640 --> 0:29:34.480
<v Speaker 1>hourly workers. Billions of dollars are made off of the

0:29:34.520 --> 0:29:37.080
<v Speaker 1>backs of the labor of that is in the floor

0:29:37.120 --> 0:29:40.080
<v Speaker 1>of these cafes every single day, and yet you've got

0:29:40.080 --> 0:29:43.520
<v Speaker 1>workers who can't pay their rent and put groceries in

0:29:43.560 --> 0:29:46.320
<v Speaker 1>their fridge. There's just there's an imbalance there and something

0:29:46.360 --> 0:30:00.160
<v Speaker 1>needs to be done about it. This is Bloomberg. You're

0:30:00.240 --> 0:30:04.080
<v Speaker 1>listening to Bloomberg Business Week with Carol Messer and Bloomberg

0:30:04.160 --> 0:30:09.120
<v Speaker 1>Quick Takes Tim Stinovik from Bloomberg Radio. This past week,

0:30:09.160 --> 0:30:12.480
<v Speaker 1>Bloomberg Business Week released its sixth annual Bloomberg Fifty list.

0:30:12.840 --> 0:30:16.840
<v Speaker 1>It pays homage to those in business, politics, science and technology, finance,

0:30:16.840 --> 0:30:20.440
<v Speaker 1>and entertainment whose accomplishments over the past year deserve recognition

0:30:21.040 --> 0:30:24.240
<v Speaker 1>and well. World leaders, celebrities, and top executives are included.

0:30:24.720 --> 0:30:26.360
<v Speaker 1>You don't have to be a household name to make

0:30:26.400 --> 0:30:29.720
<v Speaker 1>the cut. One example of that is Michelle Eisen, the

0:30:29.800 --> 0:30:33.600
<v Speaker 1>lead organizer of Starbucks Workers United. Her efforts to create

0:30:33.640 --> 0:30:36.959
<v Speaker 1>better conditions for hourly workers have brought unionization to more

0:30:36.960 --> 0:30:40.120
<v Speaker 1>than two seventy Starbucks stores and seven thousand people across

0:30:40.160 --> 0:30:43.360
<v Speaker 1>the country. Just over a year earlier, the company had none.

0:30:43.840 --> 0:30:45.920
<v Speaker 1>Carol and I asked Michelle about what's next when it

0:30:45.960 --> 0:30:48.320
<v Speaker 1>comes to her fight for workers rights, and I do

0:30:48.440 --> 0:30:52.280
<v Speaker 1>expect it to continue, because the momentum really hasn't slowed.

0:30:52.320 --> 0:30:55.360
<v Speaker 1>What we've seen as an increased interests from Starbucks workers

0:30:55.400 --> 0:31:00.120
<v Speaker 1>to unionize their stores because things are hard. Things are

0:31:00.200 --> 0:31:02.440
<v Speaker 1>even harder now than they were, you know, a few

0:31:02.520 --> 0:31:05.200
<v Speaker 1>years ago, to be a service worker, to be anyone

0:31:05.200 --> 0:31:07.920
<v Speaker 1>of the working class, and the reality of the situation

0:31:08.000 --> 0:31:10.920
<v Speaker 1>is that the billionaires are not looking out for the

0:31:10.920 --> 0:31:14.240
<v Speaker 1>working man, and so we need to join together and

0:31:14.480 --> 0:31:17.120
<v Speaker 1>raise our voices and fight for what we believe is

0:31:17.160 --> 0:31:20.520
<v Speaker 1>fair in our workplaces. Starbucks, i think, to a certain extent,

0:31:20.600 --> 0:31:24.720
<v Speaker 1>has always preded itself on providing a at least publicly

0:31:24.760 --> 0:31:26.840
<v Speaker 1>a good place for people to work. So I'm curious

0:31:27.040 --> 0:31:29.520
<v Speaker 1>you know what your experience has been and also what

0:31:29.640 --> 0:31:33.560
<v Speaker 1>specifically you and other union organizers and people who join

0:31:33.600 --> 0:31:35.480
<v Speaker 1>the union are looking for from the company right now.

0:31:36.480 --> 0:31:38.360
<v Speaker 1>I think that you're correct, I think, and that's what

0:31:38.480 --> 0:31:42.240
<v Speaker 1>has become so apparently disappointing to me in the last

0:31:42.320 --> 0:31:44.760
<v Speaker 1>year is that I came to this company back in

0:31:44.800 --> 0:31:48.120
<v Speaker 1>two thousand and ten because of who they prided themselves

0:31:48.120 --> 0:31:51.280
<v Speaker 1>to be, because they were this progressive company that you know,

0:31:51.360 --> 0:31:53.840
<v Speaker 1>claimed to care about the environment and the community and

0:31:53.880 --> 0:31:56.560
<v Speaker 1>most of all their workers. And I think that that

0:31:56.720 --> 0:31:59.560
<v Speaker 1>was true when I started. But we've seen a very

0:31:59.640 --> 0:32:02.959
<v Speaker 1>clear decline in how workers are treated within the company

0:32:03.000 --> 0:32:05.400
<v Speaker 1>in the last few years, and the pandemic really shined

0:32:05.400 --> 0:32:08.640
<v Speaker 1>a spotlight on just how how they actually feel about us.

0:32:08.960 --> 0:32:12.760
<v Speaker 1>We were called essential. Starbucks stayed open through the entirety

0:32:12.800 --> 0:32:15.640
<v Speaker 1>of the pandemic. Um These are not remote jobs. We

0:32:15.680 --> 0:32:18.480
<v Speaker 1>have to go in in person and customer phasing positions

0:32:18.680 --> 0:32:21.760
<v Speaker 1>to perform these job duties. And they kept saying, you know,

0:32:21.800 --> 0:32:24.400
<v Speaker 1>you're essential, You're essential to keep the world running. But

0:32:24.480 --> 0:32:28.600
<v Speaker 1>we were continually treated like we were disposable, and we'd

0:32:28.640 --> 0:32:31.840
<v Speaker 1>had enough. It was time to, you know, hold the

0:32:31.840 --> 0:32:36.600
<v Speaker 1>company accountable. These are billion dollar corporations. Billions of dollars

0:32:36.600 --> 0:32:38.600
<v Speaker 1>are made off of the backs of the labor that

0:32:38.720 --> 0:32:41.520
<v Speaker 1>is in the floor of these cafes every single day,

0:32:41.640 --> 0:32:44.760
<v Speaker 1>and yet you've got workers who can't pay their rent.

0:32:44.920 --> 0:32:47.080
<v Speaker 1>There's an imbalance there and something needs to be done

0:32:47.080 --> 0:32:49.840
<v Speaker 1>about it. What do you make of the wider unionization

0:32:49.920 --> 0:32:52.120
<v Speaker 1>drive that's taking place across the United States right now,

0:32:52.160 --> 0:32:54.040
<v Speaker 1>and I should know it is a far cry from

0:32:54.080 --> 0:32:55.640
<v Speaker 1>what we saw, you know, at the peak of labor

0:32:55.760 --> 0:32:59.080
<v Speaker 1>unions decades ago. But today we are seeing drives at

0:32:59.120 --> 0:33:01.640
<v Speaker 1>places like app full are E, I and more. What

0:33:01.680 --> 0:33:04.760
<v Speaker 1>do you make of that, well, I think you're seeing.

0:33:04.800 --> 0:33:07.760
<v Speaker 1>I mean, the wealth gap is significantly higher than it

0:33:07.840 --> 0:33:10.640
<v Speaker 1>was even at the peak of the labor movement decades ago.

0:33:11.040 --> 0:33:13.959
<v Speaker 1>So I think that's part of the catalyst, certainly, the

0:33:14.000 --> 0:33:17.320
<v Speaker 1>pandemic and the fact that the working class was put

0:33:17.360 --> 0:33:20.560
<v Speaker 1>in a position where their health and their family's health

0:33:20.640 --> 0:33:23.560
<v Speaker 1>was at risk daily. If you were a service worker,

0:33:23.600 --> 0:33:25.440
<v Speaker 1>if you were a worker, and you know, one of

0:33:25.440 --> 0:33:28.200
<v Speaker 1>these shops that continue to stay open and provide what

0:33:28.200 --> 0:33:32.000
<v Speaker 1>they were calling these essential services, and you had, you know,

0:33:32.120 --> 0:33:35.680
<v Speaker 1>ceo s on these financial shows boasting not only about

0:33:35.960 --> 0:33:38.920
<v Speaker 1>profits but record breaking profits in the middle of this pandemic,

0:33:39.360 --> 0:33:43.080
<v Speaker 1>and workers are starting to question what they're worth actually is.

0:33:43.120 --> 0:33:46.200
<v Speaker 1>And there's a realization that, you know, we are the

0:33:46.200 --> 0:33:48.920
<v Speaker 1>people who bring in these billions of dollars. If the

0:33:49.000 --> 0:33:51.520
<v Speaker 1>working class just walked out of all of these businesses.

0:33:51.600 --> 0:33:55.480
<v Speaker 1>Right now, these businesses would essentially cease to exist. And

0:33:55.520 --> 0:33:57.720
<v Speaker 1>so I think you're starting to see people stand up

0:33:57.840 --> 0:34:02.440
<v Speaker 1>and demand, you know, fair wages and at the very

0:34:02.520 --> 0:34:06.720
<v Speaker 1>least safe working conditions, because these companies don't exist without us.

0:34:06.960 --> 0:34:09.600
<v Speaker 1>That's Michelle Eyes and she's the lead organizer of Starbucks

0:34:09.640 --> 0:34:12.879
<v Speaker 1>Workers United, and she's part of this year's Bloomberg fifty.

0:34:13.160 --> 0:34:15.600
<v Speaker 1>Check out the full list online or on the Bloomberg terminal.

0:34:15.880 --> 0:34:17.920
<v Speaker 1>It'll be the cover story of next week's issue of

0:34:17.960 --> 0:34:20.440
<v Speaker 1>the magazine. That wraps up the first hour of the

0:34:20.440 --> 0:34:23.560
<v Speaker 1>weekend edition of Bloomberg Business Week from Bloomberg Radio, I'm

0:34:23.600 --> 0:34:26.399
<v Speaker 1>Tim Stanovic. Coming up in our next hour, we're gonna

0:34:26.400 --> 0:34:28.520
<v Speaker 1>hear from the CEO of Open Table on the restaurant

0:34:28.560 --> 0:34:32.760
<v Speaker 1>industry's big comeback, and the CEO of Impossible Foods explains

0:34:32.760 --> 0:34:35.040
<v Speaker 1>why reports of the death of the faux meat industry

0:34:35.239 --> 0:34:38.960
<v Speaker 1>are greatly exaggerated. Plus, a new book goes inside the

0:34:39.040 --> 0:34:42.560
<v Speaker 1>lucrative criminal enterprise of ransomware and details the band of

0:34:42.640 --> 0:34:46.120
<v Speaker 1>so called misfits out to stop it. This is Bloomberg.

0:34:50.280 --> 0:34:54.640
<v Speaker 1>This is Bloomberg Business Week, inside from the reporters and

0:34:54.800 --> 0:34:58.440
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:34:58.440 --> 0:35:02.400
<v Speaker 1>global business finance in tech News as it Happened, Bloomberg

0:35:02.480 --> 0:35:05.920
<v Speaker 1>Business Week with Carol Messer and Bloomberg Quick Takes Tim

0:35:06.040 --> 0:35:10.480
<v Speaker 1>Stinovik on Bloomberg Radio. Planning ahead in our second hour

0:35:10.520 --> 0:35:13.480
<v Speaker 1>of the weekend edition of Bloomberg Business Week, including a

0:35:13.520 --> 0:35:16.200
<v Speaker 1>report from the magazine about how American Express got its

0:35:16.200 --> 0:35:19.280
<v Speaker 1>mojo back. We'll also look at one of cyber criminals

0:35:19.280 --> 0:35:22.920
<v Speaker 1>favorite weapons, ransomware, and the loose network of tech nerds

0:35:22.960 --> 0:35:25.160
<v Speaker 1>out to put a dent in a billion dollar enterprise.

0:35:25.480 --> 0:35:28.279
<v Speaker 1>Plus a conversation with the Open Table CEO Debbie Sue

0:35:28.440 --> 0:35:31.640
<v Speaker 1>on a long awaited resurgence for the restaurant business. First

0:35:31.680 --> 0:35:34.799
<v Speaker 1>up this hour, we're talking food with another industry executive,

0:35:35.080 --> 0:35:38.520
<v Speaker 1>Impossible Food CEO Peter McGinnis. He recently joined my co

0:35:38.600 --> 0:35:41.600
<v Speaker 1>host Carol Masser from the Bloomberg Life Sustainable Business Summit,

0:35:42.000 --> 0:35:44.360
<v Speaker 1>and they kicked off the conversation talking about what some

0:35:44.520 --> 0:35:47.440
<v Speaker 1>see as a plateau in the plant based food industry.

0:35:47.600 --> 0:35:52.440
<v Speaker 1>It's a very dynamic category industry um with huge potential

0:35:52.960 --> 0:35:57.120
<v Speaker 1>um and it's in its infancy and I think people say, oh,

0:35:57.520 --> 0:36:00.840
<v Speaker 1>the plant based category is a declining Is the demise

0:36:00.920 --> 0:36:04.160
<v Speaker 1>of it. It makes a great headline, it's a sensational story.

0:36:04.360 --> 0:36:06.240
<v Speaker 1>And I would just say that it hasn't been established

0:36:06.280 --> 0:36:08.480
<v Speaker 1>and created yet, so a big part of what I

0:36:08.520 --> 0:36:12.719
<v Speaker 1>want to do it in part been established. No, it's

0:36:12.719 --> 0:36:16.080
<v Speaker 1>been around in earnest for you know, probably less than

0:36:16.120 --> 0:36:19.120
<v Speaker 1>five years. There's been vegan burgers and things out for

0:36:19.200 --> 0:36:22.120
<v Speaker 1>ten or twelve years. But in terms of all protein

0:36:22.200 --> 0:36:26.240
<v Speaker 1>that's going, you know, trying to displace the animal product,

0:36:27.280 --> 0:36:31.560
<v Speaker 1>that's a three to five year phenomenon. And um we

0:36:31.680 --> 0:36:33.760
<v Speaker 1>just launched in retail two years ago in the middle

0:36:33.760 --> 0:36:35.960
<v Speaker 1>of COVID, so if you discount, we've probably been available

0:36:36.000 --> 0:36:39.160
<v Speaker 1>retail for a year. And uh So I think it's

0:36:39.160 --> 0:36:41.640
<v Speaker 1>in its infancy and I think it's yet to be created,

0:36:41.680 --> 0:36:44.960
<v Speaker 1>yet to be established, and uh I think it's our

0:36:45.040 --> 0:36:47.920
<v Speaker 1>job to really create this category. It's three billion dollar

0:36:47.960 --> 0:36:52.080
<v Speaker 1>category and at one point for trillion dollar addressable market,

0:36:52.719 --> 0:36:56.400
<v Speaker 1>so it is very very small, right, and it's our

0:36:56.480 --> 0:36:58.560
<v Speaker 1>job to mold it and shape it and grow it.

0:36:58.880 --> 0:37:01.560
<v Speaker 1>And that that work hasn't done yet. Here, someone who

0:37:01.560 --> 0:37:04.000
<v Speaker 1>knows the food industry really well, you're reminding me you're

0:37:04.000 --> 0:37:06.560
<v Speaker 1>ten years of Chabani and you're doing this, you understand

0:37:07.120 --> 0:37:09.600
<v Speaker 1>kind of reaching consumers and what they want. I want

0:37:09.600 --> 0:37:12.279
<v Speaker 1>to go to a recent Bloomberg opinion piece that talked

0:37:12.280 --> 0:37:14.400
<v Speaker 1>about plant based product sales in the US and they

0:37:14.440 --> 0:37:19.080
<v Speaker 1>said they've been flagging the categories meteoric growth in flattening,

0:37:19.080 --> 0:37:22.640
<v Speaker 1>and since less September, a key portion of its retail

0:37:22.680 --> 0:37:26.239
<v Speaker 1>sales has dropped more than ten pc. It's reputation has

0:37:26.320 --> 0:37:29.160
<v Speaker 1>also been badly bruised by the stock performance of Beyond Meat,

0:37:29.360 --> 0:37:33.120
<v Speaker 1>which is down with from a peak back in tween.

0:37:33.640 --> 0:37:35.759
<v Speaker 1>The column does go on to say still it's a

0:37:35.840 --> 0:37:38.880
<v Speaker 1>mistake for investors to write off the value and potential

0:37:38.880 --> 0:37:40.840
<v Speaker 1>of the sector as a whole, which will be a

0:37:40.920 --> 0:37:44.640
<v Speaker 1>keystone among climate solutions going forward. So first up, I'm

0:37:44.640 --> 0:37:46.279
<v Speaker 1>going to get to the climate solutions in a moment.

0:37:46.360 --> 0:37:49.040
<v Speaker 1>The first part, though, unpack it for me, what is

0:37:49.120 --> 0:37:53.160
<v Speaker 1>though wrong with plant based industry today and the sales

0:37:53.719 --> 0:37:55.600
<v Speaker 1>and and then we get into kind of So the

0:37:55.640 --> 0:37:57.759
<v Speaker 1>category is down and that is a fact, right, you

0:37:57.760 --> 0:38:01.919
<v Speaker 1>can redire our data Nielsen data. It was plus now

0:38:01.960 --> 0:38:05.440
<v Speaker 1>it's hovering it minus five to minus seven depending on

0:38:05.480 --> 0:38:08.080
<v Speaker 1>the week. And there's a lot of reasons for that.

0:38:08.280 --> 0:38:10.600
<v Speaker 1>There was a COVID bump probably in there somewhere along

0:38:10.640 --> 0:38:13.160
<v Speaker 1>the lines, there was a novelty bump when it really

0:38:13.400 --> 0:38:17.400
<v Speaker 1>you know, first became available. So some of it's a correction,

0:38:17.560 --> 0:38:20.680
<v Speaker 1>some of it's um some noise in the data, and

0:38:20.719 --> 0:38:23.160
<v Speaker 1>then some of it are there are players in the

0:38:23.200 --> 0:38:27.319
<v Speaker 1>category who will remain nameless because I'm a proponent of

0:38:27.360 --> 0:38:31.200
<v Speaker 1>the category that are not doing well. And so you know,

0:38:31.360 --> 0:38:35.600
<v Speaker 1>the category is a composition of companies, and so if

0:38:35.600 --> 0:38:37.640
<v Speaker 1>there's some companies in a category that don't do well,

0:38:37.640 --> 0:38:41.080
<v Speaker 1>they can bring the whole category down. And so, um,

0:38:41.120 --> 0:38:44.919
<v Speaker 1>we're doing well. I mean we're growing six at retail. Um,

0:38:45.000 --> 0:38:49.520
<v Speaker 1>we're in top line sales and m and so we

0:38:49.560 --> 0:38:51.480
<v Speaker 1>have our own playbook and we have our own you

0:38:51.520 --> 0:38:55.200
<v Speaker 1>know approach here. I think it's lazy to look at

0:38:55.200 --> 0:38:58.959
<v Speaker 1>comparables and try to project that on a category. Each

0:38:59.000 --> 0:39:03.360
<v Speaker 1>company has their own own issues and challenges and playbook

0:39:03.640 --> 0:39:06.920
<v Speaker 1>and some work, some don't work. But that doesn't mean

0:39:06.960 --> 0:39:10.759
<v Speaker 1>that you should cloud the whole category, right, And I

0:39:10.800 --> 0:39:14.680
<v Speaker 1>think the category also is confusing because some of the

0:39:14.680 --> 0:39:17.040
<v Speaker 1>players in the category are old vegan burgers that are

0:39:17.120 --> 0:39:20.520
<v Speaker 1>veggie burgers, and some of them are all meat, which

0:39:20.520 --> 0:39:22.440
<v Speaker 1>I don't like the name of that, but those are

0:39:22.440 --> 0:39:28.000
<v Speaker 1>those products that are displacing it. Never good, never good. UM.

0:39:28.040 --> 0:39:30.640
<v Speaker 1>And then look, I think the animal industry has done

0:39:30.800 --> 0:39:33.880
<v Speaker 1>quite a good job. They're highly coordinated and pretty loud

0:39:34.040 --> 0:39:37.959
<v Speaker 1>in trying to confuse this plant based meat category with

0:39:38.200 --> 0:39:41.360
<v Speaker 1>calling it processed or foe or and they have a

0:39:41.360 --> 0:39:43.879
<v Speaker 1>lot of money, and they're highly coordinated, like I said,

0:39:43.920 --> 0:39:46.320
<v Speaker 1>and I think where the mistake of the plant based

0:39:46.360 --> 0:39:50.640
<v Speaker 1>meat is it's young, it's restless, it's very fragmented with

0:39:50.680 --> 0:39:53.040
<v Speaker 1>a lot of different players, and we have not been

0:39:53.120 --> 0:39:56.760
<v Speaker 1>coordinated in our messaging, and we have not been loud

0:39:57.040 --> 0:40:02.040
<v Speaker 1>in support of our products. And so combination of big

0:40:02.040 --> 0:40:05.800
<v Speaker 1>meat kind of being loud and coordinated and plant based

0:40:05.800 --> 0:40:10.600
<v Speaker 1>meat being shy and uncoordinated has not helped the situation.

0:40:10.719 --> 0:40:13.160
<v Speaker 1>So let's talk messaging, um, And let's get to the

0:40:13.160 --> 0:40:15.920
<v Speaker 1>second part of the Bloomberg opinion column, which said, it's

0:40:15.920 --> 0:40:17.880
<v Speaker 1>a mistake for investors to write off the value and

0:40:17.880 --> 0:40:19.840
<v Speaker 1>potential of the sector as a whole, which will be

0:40:19.920 --> 0:40:23.640
<v Speaker 1>a keystone among climate solutions going forward. So why is

0:40:23.719 --> 0:40:27.160
<v Speaker 1>plant based food a keystone among future climate solutions? Yeah,

0:40:27.160 --> 0:40:29.880
<v Speaker 1>it is. The scale of food because this would be

0:40:29.880 --> 0:40:32.200
<v Speaker 1>great for the narrative. Yes, it would be great for

0:40:32.200 --> 0:40:34.319
<v Speaker 1>the narrative. And it's it's a it's a it's a

0:40:34.320 --> 0:40:37.560
<v Speaker 1>complicated message to get out there from a consumer perspective,

0:40:37.560 --> 0:40:41.399
<v Speaker 1>and I think a lot of the issue around um, Look,

0:40:41.400 --> 0:40:44.440
<v Speaker 1>the food is now come a long way. So the

0:40:44.520 --> 0:40:47.200
<v Speaker 1>food now stands up against the animal products, and most

0:40:47.239 --> 0:40:48.960
<v Speaker 1>people that try it say it's much better than I

0:40:48.960 --> 0:40:52.279
<v Speaker 1>thought and taste, texture, flavor, and especially when you build

0:40:52.320 --> 0:40:54.440
<v Speaker 1>a burger and you have cheese and you know, put

0:40:54.480 --> 0:40:56.879
<v Speaker 1>let us in tomato on it. It's very difficult, right,

0:40:56.920 --> 0:40:58.800
<v Speaker 1>And we hear that with whoppers, and we hear that

0:40:58.840 --> 0:41:02.440
<v Speaker 1>whether our impossible Sauce's sandwich of Starbucks. So the food

0:41:02.680 --> 0:41:05.319
<v Speaker 1>is in a really good place. We have not got

0:41:05.320 --> 0:41:10.160
<v Speaker 1>the health credentials across. Right, it's zero cholesterol meat, right,

0:41:10.239 --> 0:41:14.080
<v Speaker 1>that has less saturated fat and less calories. That has

0:41:14.080 --> 0:41:16.520
<v Speaker 1>not been communicated. And then the climate piece of it,

0:41:17.160 --> 0:41:20.960
<v Speaker 1>There is no other alternative to reverse climate change other

0:41:21.000 --> 0:41:25.200
<v Speaker 1>than food. Food systems account for third of emissions. Third

0:41:25.200 --> 0:41:29.040
<v Speaker 1>of emissions. Also, if you think about of the usable

0:41:29.080 --> 0:41:33.480
<v Speaker 1>Earth's land mass is animal agriculture related, and all of

0:41:33.520 --> 0:41:37.800
<v Speaker 1>that land has been cleared fifty three percent or towns

0:41:37.800 --> 0:41:41.759
<v Speaker 1>and cities of the entire Earth's so the so the

0:41:41.840 --> 0:41:44.880
<v Speaker 1>scale is huge. And as a result, six of all

0:41:44.920 --> 0:41:49.759
<v Speaker 1>wild animals have been killed and animal products. And I

0:41:49.840 --> 0:41:52.240
<v Speaker 1>want to sit here and go on and on about

0:41:52.320 --> 0:41:55.959
<v Speaker 1>how bad the animal industry is. We'll talk about your

0:41:56.080 --> 0:41:59.399
<v Speaker 1>climate imprit when you guys do so our plant based meat.

0:41:59.440 --> 0:42:01.879
<v Speaker 1>If you look at fifty million pounds of our plant

0:42:01.880 --> 0:42:05.239
<v Speaker 1>based meat versus fifty million pounds of animal meat, right

0:42:05.280 --> 0:42:10.200
<v Speaker 1>direct comparison, we'll use four point five billion less gallons

0:42:10.280 --> 0:42:13.400
<v Speaker 1>of water, we would save thirty seven million trees, and

0:42:13.480 --> 0:42:17.600
<v Speaker 1>we would avoid one point five billion pounds of c

0:42:17.760 --> 0:42:21.879
<v Speaker 1>O two. That's fifty million pounds. That's a small amount, right,

0:42:21.960 --> 0:42:25.200
<v Speaker 1>That's a fraction of what we will make um this year.

0:42:25.680 --> 0:42:30.279
<v Speaker 1>So the scale is massive. Right when it comes to food, So,

0:42:30.360 --> 0:42:35.040
<v Speaker 1>food choice and climate change is a very very powerful thing.

0:42:35.680 --> 0:42:39.879
<v Speaker 1>It's misunderstood. It's many people are not aware of it, right,

0:42:39.960 --> 0:42:42.480
<v Speaker 1>They just don't equate food choice with climate change. So

0:42:42.520 --> 0:42:45.239
<v Speaker 1>the more we can educate people, I think it can

0:42:45.280 --> 0:42:49.680
<v Speaker 1>be quite powerful. And there is no other tool out

0:42:49.719 --> 0:42:52.200
<v Speaker 1>there that has the power to reverse climate change like

0:42:52.200 --> 0:42:55.520
<v Speaker 1>food choice, right, which is interesting because we focused so

0:42:55.680 --> 0:42:58.120
<v Speaker 1>much on E V S. And I get the importance

0:42:58.200 --> 0:43:00.200
<v Speaker 1>of it, which is, by the way, the good thing, right,

0:43:00.760 --> 0:43:05.000
<v Speaker 1>But if all cars went to electric, it would not

0:43:05.040 --> 0:43:07.560
<v Speaker 1>have the impact of food choice. So good business. And

0:43:07.600 --> 0:43:09.799
<v Speaker 1>you and I talked about on the phone. I care,

0:43:10.080 --> 0:43:11.960
<v Speaker 1>I turn over, I look at my food. I want

0:43:11.960 --> 0:43:13.640
<v Speaker 1>to know what it is. My ninete daughter does the

0:43:13.680 --> 0:43:16.320
<v Speaker 1>same thing. Help me out because part of the reason

0:43:16.440 --> 0:43:19.440
<v Speaker 1>I'm not your customer, and I probably should be because

0:43:19.440 --> 0:43:21.719
<v Speaker 1>I care about my health. And I even brought it

0:43:21.760 --> 0:43:23.320
<v Speaker 1>up in the newsroom and in our makeup room. I'm like,

0:43:23.320 --> 0:43:26.600
<v Speaker 1>who's eating this stuff? And like sodium sodium? Like you

0:43:26.680 --> 0:43:30.080
<v Speaker 1>talk about the healthy part of it. I mean, have

0:43:30.160 --> 0:43:33.000
<v Speaker 1>we can it be better? It can be better. So

0:43:33.080 --> 0:43:34.680
<v Speaker 1>one of the big things we want to do it impossible.

0:43:34.680 --> 0:43:35.920
<v Speaker 1>I think we have a really good product. And I

0:43:35.960 --> 0:43:38.279
<v Speaker 1>know you've done some formula. Sure you know we're on

0:43:38.360 --> 0:43:41.280
<v Speaker 1>beef two point five. We're not going to go iPhone.

0:43:41.280 --> 0:43:44.680
<v Speaker 1>How far do we go? But we're gonna go probably

0:43:44.760 --> 0:43:48.520
<v Speaker 1>beef four point oh. I can see probably a three

0:43:48.520 --> 0:43:51.440
<v Speaker 1>point three point five and a four point to perfect

0:43:51.480 --> 0:43:56.719
<v Speaker 1>it taste, texture, flavor, nutrition, And every time we reformulate

0:43:56.760 --> 0:43:58.960
<v Speaker 1>that food, and I think this is a big part

0:43:58.960 --> 0:44:01.319
<v Speaker 1>of it. Right, we have to continue saying prove those products,

0:44:01.360 --> 0:44:03.719
<v Speaker 1>and these products have only been around three or four years,

0:44:03.760 --> 0:44:07.640
<v Speaker 1>so it's not unusual to continue through technology and new

0:44:07.760 --> 0:44:12.000
<v Speaker 1>ingredients to try to perfect the product. And in doing that,

0:44:12.160 --> 0:44:15.839
<v Speaker 1>I think will chip away more Etceterated fat, sodium, will

0:44:15.840 --> 0:44:19.719
<v Speaker 1>simplify the ingredient list. The ingredient list is long. It's

0:44:19.760 --> 0:44:22.239
<v Speaker 1>all plant based, but it's long because you're trying to

0:44:22.800 --> 0:44:26.719
<v Speaker 1>mimic the texture of animal meat. It's very hard to

0:44:26.760 --> 0:44:30.799
<v Speaker 1>be complicated, very complicated. So people say it's processed. I

0:44:30.840 --> 0:44:35.360
<v Speaker 1>think Twinkies are processed, right, it's artificial. It's not processed

0:44:35.400 --> 0:44:39.760
<v Speaker 1>because the process but but our food is not processed

0:44:39.760 --> 0:44:43.920
<v Speaker 1>because the ingredient list is long. We're using a lot

0:44:43.960 --> 0:44:47.800
<v Speaker 1>of different things to mimic the texture to get people

0:44:47.840 --> 0:44:51.000
<v Speaker 1>to have it instead of the animal product. But it's

0:44:51.000 --> 0:44:55.320
<v Speaker 1>all plant based, so much rather ingest that than something

0:44:55.560 --> 0:45:00.200
<v Speaker 1>highly artificial. Look processed is food that doesn't con pain

0:45:00.280 --> 0:45:04.080
<v Speaker 1>a lot of minerals and vitamins and protein. Right, our

0:45:04.080 --> 0:45:07.680
<v Speaker 1>food contains vitamins, minerals and has more protein than the

0:45:07.719 --> 0:45:12.719
<v Speaker 1>animal product, so it's nutrient dense. It's nutrient rich. And yes,

0:45:12.760 --> 0:45:15.480
<v Speaker 1>the ingredient list is long, and we'll work on simplifying that.

0:45:16.160 --> 0:45:18.759
<v Speaker 1>But these are all the misconceptions and myths out there

0:45:18.840 --> 0:45:22.200
<v Speaker 1>that have been and affected people like you. That's Impossible

0:45:22.200 --> 0:45:25.040
<v Speaker 1>Food CEO Peter McGinnis with Carol Master from the Bloomberg

0:45:25.080 --> 0:45:27.960
<v Speaker 1>Live Sustainable Business Summit earlier this month. To here and

0:45:27.960 --> 0:45:30.759
<v Speaker 1>watch the entire conversation. Head on over to Bloomberg Live

0:45:30.840 --> 0:45:33.839
<v Speaker 1>dot com. You're listening to Bloomberg Business Week. Coming up,

0:45:33.880 --> 0:45:35.879
<v Speaker 1>we stay in the food space and get some good

0:45:35.880 --> 0:45:38.200
<v Speaker 1>news on the restaurant business at an all important time

0:45:38.239 --> 0:45:41.320
<v Speaker 1>of year. We are continuing to see that that dining

0:45:41.360 --> 0:45:44.520
<v Speaker 1>deman remains really strong. If you look at the year

0:45:44.880 --> 0:45:49.919
<v Speaker 1>end for this entire year, we are approaching nationwide pre

0:45:50.000 --> 0:45:53.319
<v Speaker 1>pandemic levels. Open Table CEO Debbie su joins us on

0:45:53.360 --> 0:46:05.040
<v Speaker 1>the other side. This is Bloomberg. This is Bloomberg Business

0:46:05.080 --> 0:46:08.800
<v Speaker 1>Week with Carol Messer and Bloomberg Quick Takes Tim Stinovin

0:46:09.040 --> 0:46:13.040
<v Speaker 1>from Bloomberg Radio. In our last segment, we heard from

0:46:13.040 --> 0:46:15.320
<v Speaker 1>the CEO of Impossible Foods on the health of the

0:46:15.360 --> 0:46:18.440
<v Speaker 1>still nascent fake meat industry. Now let's zoom out for

0:46:18.480 --> 0:46:21.840
<v Speaker 1>a look at America's restaurant business. This past week, Bloomberg

0:46:21.880 --> 0:46:24.120
<v Speaker 1>New Senior Markets reporter Katie Greifeld and I had a

0:46:24.200 --> 0:46:26.840
<v Speaker 1>chance to reconnect with Debbie Sue. She's the CEO of

0:46:26.840 --> 0:46:30.399
<v Speaker 1>the online restaurant reservation service Open Table, and while she's

0:46:30.440 --> 0:46:33.080
<v Speaker 1>based in San Francisco, Debbie says things are looking up

0:46:33.120 --> 0:46:35.920
<v Speaker 1>for the entire sector from coast to coast. We are

0:46:36.040 --> 0:46:39.920
<v Speaker 1>continuing to see that that dining demand remains really strong.

0:46:40.360 --> 0:46:42.920
<v Speaker 1>If you look at the year end, so for this

0:46:43.200 --> 0:46:48.680
<v Speaker 1>entire year, we are approaching on nationwide UM pre pandemic levels.

0:46:49.040 --> 0:46:52.680
<v Speaker 1>We're up versus last year, so we can say that

0:46:52.760 --> 0:46:55.760
<v Speaker 1>dining is back UM or that dining has held strong.

0:46:55.960 --> 0:47:00.319
<v Speaker 1>The holiday season is looking great. Thanksgiving UM is usually good,

0:47:00.480 --> 0:47:02.919
<v Speaker 1>you know, a sign of what things are to come

0:47:03.000 --> 0:47:06.279
<v Speaker 1>during the holiday season, and demand was really strong then.

0:47:06.800 --> 0:47:09.840
<v Speaker 1>So people were just seeing that. People are continuing to

0:47:10.040 --> 0:47:15.800
<v Speaker 1>prioritize that dining out at at a restaurant experience. Despite

0:47:15.800 --> 0:47:18.720
<v Speaker 1>all the news we're hearing, and we're feeling it as well,

0:47:18.800 --> 0:47:24.040
<v Speaker 1>right about inflation, rising costs, um, all that economic turbulence,

0:47:24.400 --> 0:47:29.680
<v Speaker 1>people are continuing to you know, allocate pieces of their

0:47:29.680 --> 0:47:32.759
<v Speaker 1>household Piano to the dining out experience. How do you

0:47:32.800 --> 0:47:37.359
<v Speaker 1>explain that because those things are at odds. Yeah, I know,

0:47:37.480 --> 0:47:41.000
<v Speaker 1>and I think, you know, um, we're we're still seeing

0:47:41.080 --> 0:47:44.040
<v Speaker 1>some pent up revenge dining. I think as a result

0:47:44.120 --> 0:47:47.480
<v Speaker 1>of the pandemic when many of us were cooped up

0:47:47.480 --> 0:47:50.960
<v Speaker 1>in our houses or apartments for um a long time.

0:47:51.040 --> 0:47:54.279
<v Speaker 1>So I think that is still playing here. Um. I

0:47:54.320 --> 0:47:56.920
<v Speaker 1>also think it's because from many of us, the nature

0:47:56.960 --> 0:48:01.879
<v Speaker 1>of work has changed. Um. Many people work remotely, some

0:48:01.920 --> 0:48:04.600
<v Speaker 1>people are in a hybrid situation where they go into

0:48:04.640 --> 0:48:06.960
<v Speaker 1>the office you know, twice a week as opposed to

0:48:07.000 --> 0:48:09.200
<v Speaker 1>five times a week. And I think people are really

0:48:09.280 --> 0:48:14.400
<v Speaker 1>craving that in person, you know, experience that they're not

0:48:14.480 --> 0:48:17.400
<v Speaker 1>getting when they're just working from home. Um. And so

0:48:17.440 --> 0:48:19.320
<v Speaker 1>I think, you know, dining out at a restaurant is

0:48:19.360 --> 0:48:21.560
<v Speaker 1>one of those ways they can get that. And we're

0:48:21.560 --> 0:48:24.640
<v Speaker 1>seeing that in the data too. We're seeing, for example, uh,

0:48:24.880 --> 0:48:29.680
<v Speaker 1>pre pandemic days, bar seating was the least favorable type

0:48:29.760 --> 0:48:32.319
<v Speaker 1>of the seat that one could book, and right now

0:48:32.360 --> 0:48:35.240
<v Speaker 1>we're seeing people are actually requesting those seats and wanting

0:48:35.280 --> 0:48:37.320
<v Speaker 1>to be in the thick of it all. So I

0:48:37.360 --> 0:48:40.800
<v Speaker 1>think because work is changing for many of us that

0:48:40.800 --> 0:48:44.160
<v Speaker 1>that has trickled down effects, you know, into dining and

0:48:44.200 --> 0:48:47.359
<v Speaker 1>our behavior as consumers. Um, you know what what it

0:48:47.360 --> 0:48:50.040
<v Speaker 1>means now to to go out to a restaurant, Deffy.

0:48:50.120 --> 0:48:53.040
<v Speaker 1>Let's unpack some of those trends. If if the shifting

0:48:53.120 --> 0:48:55.680
<v Speaker 1>nature of work is changing how people are dining out,

0:48:55.719 --> 0:48:58.400
<v Speaker 1>what does that mean in terms of what days that

0:48:58.520 --> 0:49:04.520
<v Speaker 1>people are coming to restaurants, what times? Thinks of those natures? Yes,

0:49:04.640 --> 0:49:09.120
<v Speaker 1>so we're seeing that Monday's, UM, to your point, are

0:49:09.640 --> 0:49:13.920
<v Speaker 1>so historically Mondays were very slow time for restaurants pre pandemic.

0:49:14.480 --> 0:49:17.240
<v Speaker 1>Right now, what we're seeing Monday's are the weekend after party.

0:49:17.239 --> 0:49:21.160
<v Speaker 1>It's kind of an extension of the weekend. So we're

0:49:21.160 --> 0:49:23.920
<v Speaker 1>seeing really big increases in dining compared to last year

0:49:24.000 --> 0:49:29.200
<v Speaker 1>up on Monday's. UM. The time is also different in

0:49:29.239 --> 0:49:32.080
<v Speaker 1>terms of the time that people are going to reservations.

0:49:32.280 --> 0:49:35.200
<v Speaker 1>You had said forty five or ten, we're actually seeing

0:49:35.400 --> 0:49:39.040
<v Speaker 1>um a lot of people dining between four and five.

0:49:39.680 --> 0:49:44.719
<v Speaker 1>UM that that time period increased a very large increase

0:49:45.160 --> 0:49:48.640
<v Speaker 1>uh compared to pre pandemic time. So happy hour is

0:49:48.680 --> 0:49:53.480
<v Speaker 1>the new dinner. I think it's because oftentimes, like if

0:49:53.480 --> 0:49:57.120
<v Speaker 1>you are working remotely or hybrid um, you're commute, you

0:49:57.160 --> 0:50:00.520
<v Speaker 1>don't have a commute time, right, so you could be

0:50:00.560 --> 0:50:03.160
<v Speaker 1>done with work and you can shut down, you know,

0:50:03.200 --> 0:50:06.319
<v Speaker 1>your computer and just literally, you know, leave your home

0:50:06.400 --> 0:50:10.080
<v Speaker 1>and go to a restaurant. Debbie, does that change? So

0:50:10.160 --> 0:50:11.719
<v Speaker 1>I've talked about this a bit. I don't have any

0:50:11.760 --> 0:50:13.239
<v Speaker 1>data on this, and I'm hoping you can help with

0:50:13.280 --> 0:50:15.560
<v Speaker 1>this because it's all anecdotal for me. But in my

0:50:15.560 --> 0:50:17.879
<v Speaker 1>neighborhood in Brooklyn, you know, I come into work every

0:50:17.960 --> 0:50:20.160
<v Speaker 1>day because I can't work remotely. But if I'm off

0:50:20.160 --> 0:50:22.000
<v Speaker 1>a day and I'm at at home and I'm walking

0:50:22.000 --> 0:50:25.640
<v Speaker 1>around the neighborhood, it is like packed, you know, Sandwich

0:50:25.640 --> 0:50:27.680
<v Speaker 1>shops that are usually packed on a week day on

0:50:27.719 --> 0:50:30.359
<v Speaker 1>a weekend only are packed during the week because people

0:50:30.400 --> 0:50:31.840
<v Speaker 1>are working from home. Do you have any data that

0:50:31.880 --> 0:50:36.000
<v Speaker 1>shows sort of the the epicenter of of these areas

0:50:36.080 --> 0:50:38.520
<v Speaker 1>is kind of shifting a little bit because of people's

0:50:38.560 --> 0:50:42.920
<v Speaker 1>work patterns. Yes, so we in that the Brooklyn story

0:50:43.360 --> 0:50:47.160
<v Speaker 1>or your experience is very similar to what we're seeing. Um.

0:50:47.200 --> 0:50:49.080
<v Speaker 1>You know, during the pandemic, I think a lot of

0:50:49.120 --> 0:50:54.680
<v Speaker 1>people moved out of the city proper. Uh and and

0:50:54.760 --> 0:50:58.560
<v Speaker 1>in areas around a big city. UM, Brooklyn here could

0:50:58.600 --> 0:51:01.040
<v Speaker 1>be an example of that, and UM a lot of

0:51:01.160 --> 0:51:04.640
<v Speaker 1>so we're seeing a lot of dining activity happening, you

0:51:04.680 --> 0:51:07.040
<v Speaker 1>know in Brooklyn versus you know in the middle of

0:51:07.080 --> 0:51:10.359
<v Speaker 1>midtown or Manhattan. UM. We're seeing that in the Bay

0:51:10.400 --> 0:51:13.920
<v Speaker 1>Area here in San Francisco. UM. So we're seeing like

0:51:14.080 --> 0:51:18.680
<v Speaker 1>emergence of kind of these UM areas outside of cities

0:51:19.040 --> 0:51:21.600
<v Speaker 1>really gained and prominence. And I think Brooklyn also, like

0:51:21.640 --> 0:51:25.799
<v Speaker 1>it's a trends, tends to have a younger demographic, if

0:51:25.800 --> 0:51:32.040
<v Speaker 1>I were to guess, like a very cool demographics. I

0:51:32.040 --> 0:51:34.120
<v Speaker 1>don't know if I'm either of those things. But thank you, Debby.

0:51:35.480 --> 0:51:37.840
<v Speaker 1>But you know, it's not surprising. It's not surprising to

0:51:37.960 --> 0:51:41.440
<v Speaker 1>hear that we have. You know, there's a big remote

0:51:41.440 --> 0:51:45.080
<v Speaker 1>workforce out there that you know, during lunchtime can go

0:51:45.239 --> 0:51:49.359
<v Speaker 1>to the sandwich shop down the street. So I've been

0:51:49.360 --> 0:51:51.879
<v Speaker 1>thinking about what you said about people actually in some

0:51:51.920 --> 0:51:55.160
<v Speaker 1>cases requesting to sit at the bar, because I've never

0:51:55.200 --> 0:51:58.920
<v Speaker 1>done that in my life. But I don't want to

0:51:58.920 --> 0:52:00.160
<v Speaker 1>sit at the bar. I don't want to sit next

0:52:00.200 --> 0:52:03.759
<v Speaker 1>to people. Okay, that's what I mean. But in any case,

0:52:04.120 --> 0:52:07.880
<v Speaker 1>are you seeing that in that sort of drive to

0:52:07.960 --> 0:52:10.080
<v Speaker 1>be in the thick of it in the action. Are

0:52:10.080 --> 0:52:12.839
<v Speaker 1>you seeing that in the dining choices that people are

0:52:12.840 --> 0:52:17.720
<v Speaker 1>making in terms of the types of restaurants that they're booking. Absolutely,

0:52:17.880 --> 0:52:22.920
<v Speaker 1>so we're seeing diners really crave that connectivity. So cuisines

0:52:22.960 --> 0:52:29.560
<v Speaker 1>like Korean barbecue, hibachi grill, Brazilian steakhouse, um, those types

0:52:29.600 --> 0:52:32.480
<v Speaker 1>of food venues are doing very very well because again,

0:52:32.880 --> 0:52:35.279
<v Speaker 1>unlike you, a lot of people want to be in

0:52:35.280 --> 0:52:37.000
<v Speaker 1>the thick of it. They want to be sharing a

0:52:37.040 --> 0:52:39.799
<v Speaker 1>table with folks they don't know and and being in

0:52:39.840 --> 0:52:43.440
<v Speaker 1>that kind of communal environment that's so interesting. Does this

0:52:43.520 --> 0:52:49.040
<v Speaker 1>hold we're seeing it hold? Um? It's it started up

0:52:49.200 --> 0:52:54.120
<v Speaker 1>last year and it's continued to persist um this year.

0:52:54.520 --> 0:52:58.120
<v Speaker 1>I really think a lot of it is related to

0:52:58.160 --> 0:53:01.400
<v Speaker 1>the pandemic um and kind of a new post pandemic

0:53:01.480 --> 0:53:04.319
<v Speaker 1>life with again work changing for so many of us

0:53:05.120 --> 0:53:10.040
<v Speaker 1>um that right like it, it impacts other other facets

0:53:10.080 --> 0:53:14.279
<v Speaker 1>of our life. And so I mean, if theoretically we're

0:53:14.320 --> 0:53:16.880
<v Speaker 1>here a year from now talking about the trends that

0:53:16.920 --> 0:53:20.080
<v Speaker 1>we saw in what do you think what what kind

0:53:20.080 --> 0:53:23.239
<v Speaker 1>of conversation we're gonna be having well, I hope we're

0:53:23.239 --> 0:53:25.160
<v Speaker 1>going to have a similar one in terms of dining

0:53:25.200 --> 0:53:29.360
<v Speaker 1>demand remaining very strong. Um, you know. And we watched

0:53:29.360 --> 0:53:33.000
<v Speaker 1>the data very carefully across the board, just because there

0:53:33.040 --> 0:53:35.239
<v Speaker 1>is so much noise regarding the economy, and we hear

0:53:35.239 --> 0:53:38.160
<v Speaker 1>from restaurant partners how hard it is to be running

0:53:38.680 --> 0:53:42.759
<v Speaker 1>their restaurants. But the hero of the day and the

0:53:42.840 --> 0:53:48.120
<v Speaker 1>story is that consumers continue to prioritize going out and

0:53:48.239 --> 0:53:52.040
<v Speaker 1>dining at restaurants. I really hope does that change though

0:53:52.120 --> 0:53:54.200
<v Speaker 1>in a softening economy. I mean, everyone we've spoken to

0:53:54.239 --> 0:53:58.799
<v Speaker 1>today is planning on session. Yes, um. And we're we

0:53:58.840 --> 0:54:02.400
<v Speaker 1>remain bullish about mining. We think that maybe the check

0:54:02.440 --> 0:54:05.480
<v Speaker 1>size will change, but we think that people will continue

0:54:05.520 --> 0:54:09.840
<v Speaker 1>to prioritize connecting with others, whether that be family or

0:54:09.920 --> 0:54:13.280
<v Speaker 1>friends at a meal at a restaurant. That's Debbi Sue.

0:54:13.440 --> 0:54:16.160
<v Speaker 1>She's the CEO of the restaurant booking platform Open Table.

0:54:16.480 --> 0:54:18.720
<v Speaker 1>She spoke with me in Bloomberg New Senior Markets reporter

0:54:18.800 --> 0:54:21.840
<v Speaker 1>Katie Greifeld still to come on Bloomberg Business Week. The

0:54:21.880 --> 0:54:25.160
<v Speaker 1>magazine team explores how credit card giant American Express was

0:54:25.239 --> 0:54:27.360
<v Speaker 1>staring into the abyss at the onset of the COVID

0:54:27.360 --> 0:54:30.799
<v Speaker 1>pandemic and has since come back stronger than ever. Consumers

0:54:30.800 --> 0:54:33.279
<v Speaker 1>haven't stopped spending, and if anything, am X was like,

0:54:33.320 --> 0:54:35.440
<v Speaker 1>you know what, we have this really good thing going,

0:54:35.840 --> 0:54:39.360
<v Speaker 1>let's double down instead of killing it. UM. The pandemic

0:54:39.440 --> 0:54:43.200
<v Speaker 1>actually gave it a glimpse into how irrelevant it's brand

0:54:43.239 --> 0:54:46.200
<v Speaker 1>could become if it didn't start spoiling cardholders who could

0:54:46.239 --> 0:54:48.080
<v Speaker 1>no longer use a lot of the benefits that made

0:54:48.080 --> 0:54:51.920
<v Speaker 1>it so famous. You know, it's travel, it's dining perks um.

0:54:52.040 --> 0:54:55.000
<v Speaker 1>So you know, in that process it revamped its platinum

0:54:55.040 --> 0:54:57.959
<v Speaker 1>card um. As you said, it upped the price, which

0:54:58.000 --> 0:55:01.000
<v Speaker 1>was kind of a surprising thing to This is Bloomberg

0:55:03.200 --> 0:55:14.360
<v Speaker 1>Broadcasting from the financial capital of the World, Bloomberg eleven

0:55:14.440 --> 0:55:19.040
<v Speaker 1>Frio in New York to Washington, d C. Bloomberg to Boston,

0:55:19.160 --> 0:55:23.040
<v Speaker 1>Bloomberg one oh six one to San Francisco, Bloomberg nine

0:55:23.080 --> 0:55:26.320
<v Speaker 1>to the country Sirius XM M one nine and around

0:55:26.360 --> 0:55:30.319
<v Speaker 1>the globe the Bloomberg Business and Bloomberg Radio dot Com.

0:55:30.440 --> 0:55:34.480
<v Speaker 1>This is Bloomberg Business Week with Carol Messer and Bloomberg

0:55:34.560 --> 0:55:40.200
<v Speaker 1>Quick Takes Tim Stinovan on Bloomberg Radio. You'll find our

0:55:40.239 --> 0:55:42.319
<v Speaker 1>next story in the Finance section of the latest edition

0:55:42.360 --> 0:55:45.400
<v Speaker 1>of Bloomberg Business Week magazine. It's out now on news stands, online,

0:55:45.400 --> 0:55:48.240
<v Speaker 1>and on the terminal. Just over two years ago, American

0:55:48.280 --> 0:55:52.319
<v Speaker 1>Express faced an existential crisis, losing customers and staring into

0:55:52.320 --> 0:55:54.600
<v Speaker 1>a pandemic that heard it more than others because of

0:55:54.719 --> 0:55:58.200
<v Speaker 1>its focus on traveling and dining out. What Amex did next,

0:55:58.239 --> 0:56:01.920
<v Speaker 1>according to our colleague Jenny Seraine, quote, maybe the marketing

0:56:01.960 --> 0:56:05.279
<v Speaker 1>coup of the century. We get more from Bloomberg News

0:56:05.280 --> 0:56:07.480
<v Speaker 1>Finance team leader Sally bake Well and the editor of

0:56:07.520 --> 0:56:10.759
<v Speaker 1>Bloomberg Business Week, Joel Weber. It wasn't looking so great

0:56:10.800 --> 0:56:14.080
<v Speaker 1>for a second. UM. And that is sort of what

0:56:14.719 --> 0:56:16.759
<v Speaker 1>got me initially interested in the story, was because it

0:56:16.800 --> 0:56:21.359
<v Speaker 1>was like, oh, is there an existential moment here that Amex, UM,

0:56:21.400 --> 0:56:24.320
<v Speaker 1>you know, might not come out of the pandemic looking

0:56:24.360 --> 0:56:27.640
<v Speaker 1>as good as as it went in. UM. People were

0:56:27.640 --> 0:56:31.120
<v Speaker 1>suddenly not in in the early days of the of

0:56:31.160 --> 0:56:34.319
<v Speaker 1>the pandemic, we weren't spending quite as much. UM. They

0:56:34.440 --> 0:56:36.520
<v Speaker 1>ended up doubling down and spending a lot more and

0:56:36.520 --> 0:56:40.080
<v Speaker 1>have continued to spend. And you know, the economy keeps

0:56:40.120 --> 0:56:43.239
<v Speaker 1>jugging because of it, and that actually is part of

0:56:43.320 --> 0:56:47.720
<v Speaker 1>what became this Amex story, because consumers haven't stopped spending,

0:56:47.719 --> 0:56:49.799
<v Speaker 1>and if anything, Amex was like, you know what, we

0:56:49.840 --> 0:56:53.239
<v Speaker 1>have this really good thing going, let's double down and

0:56:53.280 --> 0:56:55.719
<v Speaker 1>make it even more interesting. And that's basically what they did.

0:56:55.960 --> 0:56:59.719
<v Speaker 1>They have an amazing loyalty program, they made it a

0:57:00.000 --> 0:57:03.960
<v Speaker 1>little bit more expensive, and people just kept doing it.

0:57:04.200 --> 0:57:06.920
<v Speaker 1>And what so it's incredible to me is like, there

0:57:06.960 --> 0:57:11.560
<v Speaker 1>are very few business models that can look like this

0:57:11.960 --> 0:57:14.880
<v Speaker 1>when other people come for it. You know, JP Morgan

0:57:15.000 --> 0:57:18.760
<v Speaker 1>Sapphire Card once a Business Week cover story. They did

0:57:18.800 --> 0:57:22.880
<v Speaker 1>a really amazing job of creating a business out of nothing,

0:57:23.200 --> 0:57:27.520
<v Speaker 1>and yet Amex's mode seems like it keeps getting deeper

0:57:27.520 --> 0:57:32.280
<v Speaker 1>and wider. So Jenny and Thomas Buckley did a great

0:57:32.320 --> 0:57:36.440
<v Speaker 1>job telling this story. Sally Bakewell leads the finance team. Sally,

0:57:36.520 --> 0:57:39.880
<v Speaker 1>what stands out to you about how amex has has

0:57:39.920 --> 0:57:44.960
<v Speaker 1>doubled down and yet UM found uh new potential? Yeah.

0:57:45.000 --> 0:57:48.280
<v Speaker 1>I think the really surprising thing here is that instead

0:57:48.320 --> 0:57:51.720
<v Speaker 1>of killing it, UM, the pandemic actually gave it a

0:57:51.760 --> 0:57:54.960
<v Speaker 1>glimpse into how irrelevant it's brand could become if it

0:57:54.960 --> 0:57:57.880
<v Speaker 1>didn't start spoiling cardholders who could no longer use a

0:57:57.880 --> 0:57:59.920
<v Speaker 1>lot of the benefits that made it so famous. You know,

0:58:00.040 --> 0:58:03.800
<v Speaker 1>it's travel, it's dining perks UM so you know, in

0:58:03.840 --> 0:58:07.760
<v Speaker 1>that process it revamped its Platinum card. UM as you said,

0:58:07.760 --> 0:58:09.840
<v Speaker 1>it up the price, which was kind of a surprising

0:58:09.880 --> 0:58:12.439
<v Speaker 1>thing to UM. It's now more expensive than the Chase

0:58:12.480 --> 0:58:16.120
<v Speaker 1>Sapphire card at six dollars a year. Add all these

0:58:16.160 --> 0:58:20.240
<v Speaker 1>new suggest to carry the super basically ahead, we'll think

0:58:20.280 --> 0:58:23.560
<v Speaker 1>of the Centurion card, which is five thousand, and of

0:58:23.560 --> 0:58:25.400
<v Speaker 1>course we all have one of those. About my ga garade,

0:58:25.800 --> 0:58:27.320
<v Speaker 1>I think that maybe I'm the only one who doesn't

0:58:27.320 --> 0:58:30.480
<v Speaker 1>have You have to be invited to that. Even even

0:58:30.520 --> 0:58:34.040
<v Speaker 1>the CEO didn't initially get but sally this I'm thinking about,

0:58:34.120 --> 0:58:37.520
<v Speaker 1>like Amex going after like they certainly had the establishment,

0:58:37.560 --> 0:58:40.080
<v Speaker 1>I feel like, but going after younger folks, whether it's

0:58:40.160 --> 0:58:43.440
<v Speaker 1>jen z x Y whatever, millennials like that to me

0:58:43.560 --> 0:58:45.440
<v Speaker 1>seems to be a big part of this strategy. And

0:58:45.480 --> 0:58:47.480
<v Speaker 1>it worked, It really did. It was a huge part

0:58:47.480 --> 0:58:50.280
<v Speaker 1>of the strategy um. Amex said that it signed up

0:58:50.400 --> 0:58:53.240
<v Speaker 1>more Platinum card holders this year than ever, and gen

0:58:53.360 --> 0:58:57.800
<v Speaker 1>Z and UM millennial customers made up about sixty of

0:58:57.840 --> 0:59:00.840
<v Speaker 1>all of that consumer card holder growth. But of course

0:59:00.880 --> 0:59:03.760
<v Speaker 1>with that maybe brings an added challenge because this is

0:59:03.800 --> 0:59:08.640
<v Speaker 1>an untested cohort of the population in an economic downturn.

0:59:09.000 --> 0:59:11.720
<v Speaker 1>Now AMEX says they're not too worried about it because

0:59:11.800 --> 0:59:14.280
<v Speaker 1>these people are keeping up with their bills. Um. But

0:59:14.440 --> 0:59:17.160
<v Speaker 1>they have already set aside hundreds of millions of dollars

0:59:17.720 --> 0:59:22.240
<v Speaker 1>for potential SURD loans. In fact, they they did that

0:59:22.360 --> 0:59:25.880
<v Speaker 1>in in October and actually set aside more than analysts

0:59:25.920 --> 0:59:29.080
<v Speaker 1>and expected. So they're very bullish, but at the same

0:59:29.080 --> 0:59:32.600
<v Speaker 1>time they're definitely shoring up for some kind of crisis. Okay,

0:59:32.640 --> 0:59:36.120
<v Speaker 1>So Tago was about the CEO, Steve Squerry, because for

0:59:36.160 --> 0:59:38.720
<v Speaker 1>a long time there was going to be a succession

0:59:38.920 --> 0:59:44.040
<v Speaker 1>challenge at m X and a boy they found their guy. Yeah,

0:59:44.040 --> 0:59:45.920
<v Speaker 1>that's right. I mean, he kind of came to the

0:59:46.120 --> 0:59:49.840
<v Speaker 1>job and he jokes that he was someone who never

0:59:50.440 --> 0:59:54.160
<v Speaker 1>was expected to be CEO. Whether that's absolutely the case,

0:59:54.480 --> 0:59:57.720
<v Speaker 1>we don't know, but he story though. Yeah, yeah, indeed,

0:59:58.000 --> 1:00:02.200
<v Speaker 1>perhaps he just wasn't earmarked quite so um clearly as

1:00:02.560 --> 1:00:07.560
<v Speaker 1>um as the person who unfortunately passed away on a

1:00:07.600 --> 1:00:10.640
<v Speaker 1>in a plane accident and so it was Squary who

1:00:10.720 --> 1:00:14.040
<v Speaker 1>took over at that time. UM, and I think you know,

1:00:14.160 --> 1:00:17.919
<v Speaker 1>he's credited with a lot of keeping AMEX going through

1:00:17.960 --> 1:00:21.720
<v Speaker 1>the pandemic. Um. He sort of hold himself up. Um

1:00:21.760 --> 1:00:23.280
<v Speaker 1>he you know, he says he took him he took

1:00:23.320 --> 1:00:26.000
<v Speaker 1>his daughters to lunch um on you know, a day

1:00:26.000 --> 1:00:28.200
<v Speaker 1>in early March and the pandemic saw how the city

1:00:28.240 --> 1:00:32.280
<v Speaker 1>had emptied out, he just he sent all his employees home. Um,

1:00:32.280 --> 1:00:34.920
<v Speaker 1>he holding himself up and his and his key deputies

1:00:35.040 --> 1:00:36.840
<v Speaker 1>up in his office and they kind of figured out

1:00:36.920 --> 1:00:40.720
<v Speaker 1>this plan, this strategy um to revamp the card. And

1:00:40.840 --> 1:00:42.800
<v Speaker 1>you know, again, they might not quite have done it

1:00:42.840 --> 1:00:44.880
<v Speaker 1>in the same way had the pandemic nod had happened,

1:00:45.000 --> 1:00:47.240
<v Speaker 1>and they might therefore not have been able to regain

1:00:47.280 --> 1:00:49.440
<v Speaker 1>the sort of cool that they did. Um. You know,

1:00:49.480 --> 1:00:51.720
<v Speaker 1>as you noted, they were kind of this credit card storewart.

1:00:52.040 --> 1:00:54.200
<v Speaker 1>They were sort of more known for capturing the middle

1:00:54.200 --> 1:00:57.200
<v Speaker 1>aged customer. And they've gone really hard after the gen

1:00:57.320 --> 1:00:59.080
<v Speaker 1>Z and they've been pretty successful. And they have a

1:00:59.120 --> 1:01:02.240
<v Speaker 1>signature sent um the card is dropped in you know

1:01:02.560 --> 1:01:06.640
<v Speaker 1>Jay z Ariana Grande songs that sort of cool. You

1:01:06.680 --> 1:01:09.960
<v Speaker 1>can't that's like real cred Also, if you're the CEO.

1:01:10.080 --> 1:01:12.480
<v Speaker 1>We talked about the Centurion card earlier, what what is

1:01:12.480 --> 1:01:15.560
<v Speaker 1>the Centurion card? And it turns out if you have

1:01:15.640 --> 1:01:17.680
<v Speaker 1>to ask, you can't afford it. Well, I was like,

1:01:17.800 --> 1:01:19.960
<v Speaker 1>you know, wait, you have to pay for credit card?

1:01:19.960 --> 1:01:22.720
<v Speaker 1>How does his work? Right? Um? So five thousand dollars

1:01:22.760 --> 1:01:25.360
<v Speaker 1>a year. You can only get it by being invited

1:01:25.880 --> 1:01:27.520
<v Speaker 1>to get it. And that's the kind of big joke

1:01:27.600 --> 1:01:30.520
<v Speaker 1>from Square is that, Um, he hadn't been asked to

1:01:30.520 --> 1:01:33.640
<v Speaker 1>apply for the card when he took over. Um, and

1:01:33.720 --> 1:01:35.760
<v Speaker 1>you know it's extremely selective and he has to he

1:01:35.800 --> 1:01:41.200
<v Speaker 1>had to Beck, he said, I think like he could

1:01:41.200 --> 1:01:43.720
<v Speaker 1>knows that knows the right person to call to say,

1:01:44.480 --> 1:01:47.320
<v Speaker 1>get me that card. I also will just say that

1:01:47.320 --> 1:01:49.600
<v Speaker 1>that Warren Buffett has a little came in with the

1:01:49.640 --> 1:01:52.400
<v Speaker 1>story talking about you know you could he has obviously

1:01:52.440 --> 1:01:55.760
<v Speaker 1>an impressive portfolio businesses. He could build any of them

1:01:55.800 --> 1:01:58.919
<v Speaker 1>from scratch, except for am X, right, Like, you can't

1:01:58.920 --> 1:02:01.640
<v Speaker 1>build AMEX from from scratch. That was Bloomberg Business Week

1:02:01.760 --> 1:02:04.400
<v Speaker 1>editor Joe Weber and Bloomberg News Finance team leader Sally

1:02:04.440 --> 1:02:08.000
<v Speaker 1>Bake while on a resurgent American Express. Now, let's turn

1:02:08.080 --> 1:02:09.800
<v Speaker 1>to a kind of payment that you don't want to

1:02:09.840 --> 1:02:13.720
<v Speaker 1>be making, that is ransomware. According to a Bloomberg News

1:02:13.720 --> 1:02:16.720
<v Speaker 1>story back in October, a senior White House official said

1:02:16.720 --> 1:02:20.000
<v Speaker 1>the pace and sophistication of ransomware attacks is increasing faster

1:02:20.040 --> 1:02:22.640
<v Speaker 1>than the nation's ability to keep up with disruption and

1:02:22.680 --> 1:02:26.160
<v Speaker 1>recovery efforts. Thankfully, the US government is not alone in

1:02:26.160 --> 1:02:29.080
<v Speaker 1>trying to slow this pervasive form of cyber crime. Dan

1:02:29.120 --> 1:02:31.080
<v Speaker 1>Golden is a senior editor at pro public and a

1:02:31.080 --> 1:02:34.840
<v Speaker 1>former Bloomberg colleague. His new book, The Ransomware Hunting Team,

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<v Speaker 1>A Band of misfits and probable Crusade to save the

1:02:37.480 --> 1:02:40.160
<v Speaker 1>World from cybercrime, shines a light on a ragtag group

1:02:40.200 --> 1:02:42.600
<v Speaker 1>of computer experts trying to slow down the bad guys.

1:02:42.760 --> 1:02:45.200
<v Speaker 1>Carol and I began by asking Dan about the impetus

1:02:45.240 --> 1:02:47.840
<v Speaker 1>for writing the book. What happened was we had done

1:02:48.200 --> 1:02:50.280
<v Speaker 1>a piece Renee, my co author, and I had done

1:02:50.280 --> 1:02:53.280
<v Speaker 1>a piece uh in Pro PUBLICA about a guy named

1:02:53.320 --> 1:02:57.560
<v Speaker 1>Michael Gillespie who was unknown to the world. He was

1:02:57.800 --> 1:03:03.520
<v Speaker 1>a headhead, a tough life, poverty, cancer, never didn't go

1:03:03.560 --> 1:03:07.000
<v Speaker 1>to college, and yet he was the world's greatest breaker

1:03:07.080 --> 1:03:12.360
<v Speaker 1>of ransomware. Codes, saving many many people, hundreds of thousands

1:03:12.400 --> 1:03:15.400
<v Speaker 1>at least, from paying hundreds of millions of billions of

1:03:15.400 --> 1:03:18.360
<v Speaker 1>dollars in ransom. And then when we realized he was

1:03:18.480 --> 1:03:21.960
<v Speaker 1>one member of this elite society, this group called the

1:03:22.040 --> 1:03:25.960
<v Speaker 1>ransomware Hunting Team, that was essentially the world's most effective

1:03:25.960 --> 1:03:30.479
<v Speaker 1>force against ransomware, UH, finding keys for victims they didn't

1:03:30.480 --> 1:03:33.080
<v Speaker 1>have to pay, and yet not charging them a penny,

1:03:33.240 --> 1:03:35.920
<v Speaker 1>we realized we had a great saga to tell. All right,

1:03:35.960 --> 1:03:37.600
<v Speaker 1>So tell us a bit more, dig a little bit deeper,

1:03:37.600 --> 1:03:39.919
<v Speaker 1>and tell us about this group of individuals, who they are,

1:03:40.080 --> 1:03:42.720
<v Speaker 1>and you know what they are typically working on, because

1:03:42.720 --> 1:03:45.520
<v Speaker 1>it sounds like we know we often report on ransomware

1:03:46.000 --> 1:03:48.640
<v Speaker 1>cases kind of non stuff, and this has become a

1:03:48.760 --> 1:03:52.520
<v Speaker 1>growing concern, growing problem, as TOI mentioned earlier. So take

1:03:52.600 --> 1:03:55.960
<v Speaker 1>us a little deeper into the story. Well, this is

1:03:56.000 --> 1:04:00.240
<v Speaker 1>a group of about a dozen uh brilliant, largely elf

1:04:00.320 --> 1:04:04.640
<v Speaker 1>taught tech and coding experts across seven countries in the

1:04:05.000 --> 1:04:08.920
<v Speaker 1>US and and and several European countries. And what they

1:04:09.000 --> 1:04:12.840
<v Speaker 1>do is, UH, they crack ransomware code. So when ransomware

1:04:12.920 --> 1:04:15.920
<v Speaker 1>is done properly, UH, it can't be broken and the

1:04:16.000 --> 1:04:19.880
<v Speaker 1>victim either has to pay the ransom or have their

1:04:19.920 --> 1:04:23.160
<v Speaker 1>systems disabled while they try and recover. But often the

1:04:23.200 --> 1:04:27.560
<v Speaker 1>hackers make mistakes that they cut corners, they leave vulnerabilities,

1:04:27.800 --> 1:04:31.160
<v Speaker 1>and the team is expert at finding these vulnerabilities, and

1:04:31.200 --> 1:04:33.600
<v Speaker 1>when they do that, they can then uncover the key

1:04:33.640 --> 1:04:36.680
<v Speaker 1>to unlock the files without paying the ransom. As you know,

1:04:36.840 --> 1:04:39.800
<v Speaker 1>normally the hacker will demand millions or tens of millions

1:04:39.800 --> 1:04:42.280
<v Speaker 1>of dollars and say without that, you won't get the key,

1:04:42.320 --> 1:04:45.000
<v Speaker 1>but the hunting team provides it for free. More from

1:04:45.000 --> 1:04:47.400
<v Speaker 1>our interview with Pro public A senior editor Dan Golden.

1:04:47.520 --> 1:04:50.280
<v Speaker 1>Is straight ahead. He's gonna explain the motivation for a

1:04:50.320 --> 1:04:53.240
<v Speaker 1>tech savvy volunteer group known as the Ransomware Hunters. When

1:04:53.240 --> 1:05:07.440
<v Speaker 1>we come back. This is Bloomberg. You're listening to Bloomberg

1:05:07.480 --> 1:05:11.120
<v Speaker 1>Business Week with Carol Messer and Bloomberg Quick Takes. Tim

1:05:11.120 --> 1:05:15.560
<v Speaker 1>Stinovik from Bloomberg Radio. More now from our conversation with

1:05:15.680 --> 1:05:18.400
<v Speaker 1>Dan Golden, the Pro public A senior editor and one

1:05:18.400 --> 1:05:21.160
<v Speaker 1>time Bloomberg journalist has co authored a new book called

1:05:21.200 --> 1:05:24.200
<v Speaker 1>The Ransomware Hunting Team, A Band of misfits and probable

1:05:24.240 --> 1:05:27.360
<v Speaker 1>crusade to save the world from cybercrime. It centers on

1:05:27.400 --> 1:05:30.240
<v Speaker 1>a group of volunteer computer experts trying to slow down

1:05:30.280 --> 1:05:32.880
<v Speaker 1>what the Treasury Department says has evolved into a billion

1:05:32.880 --> 1:05:35.680
<v Speaker 1>dollar Internet racket. Carol and I were curious why they're

1:05:35.680 --> 1:05:38.720
<v Speaker 1>so dedicated to a cause without a direct financial incentive.

1:05:39.080 --> 1:05:42.000
<v Speaker 1>They're very skilled at what they do. Their lives are

1:05:42.000 --> 1:05:44.680
<v Speaker 1>on computer. They many of them have not met each other.

1:05:45.600 --> 1:05:51.760
<v Speaker 1>They're very shy, retiring ilities, but they're they're brilliant, selfless people.

1:05:52.400 --> 1:05:56.240
<v Speaker 1>What motivates them. I think that they regard the Internet

1:05:56.280 --> 1:05:58.800
<v Speaker 1>as their world and computers as their world, and they

1:05:58.880 --> 1:06:03.280
<v Speaker 1>want to protect and protect people. Gillespie, our main character,

1:06:03.360 --> 1:06:05.960
<v Speaker 1>the fellow in Illinois that I described, he has come

1:06:06.000 --> 1:06:08.919
<v Speaker 1>from a law enforcement background, and when he was a kid,

1:06:09.000 --> 1:06:12.640
<v Speaker 1>his parents used to take him to the Superman statue

1:06:12.680 --> 1:06:16.520
<v Speaker 1>there in Metropolis, Illinois, and he grew up with this

1:06:16.720 --> 1:06:21.680
<v Speaker 1>just desire to protect people, protect the Internet. And uh

1:06:21.680 --> 1:06:24.560
<v Speaker 1>and I think then also it's kind of an intellectual challenge.

1:06:24.920 --> 1:06:29.800
<v Speaker 1>The bantering back and forth, the tactical interplay with the hackers.

1:06:30.160 --> 1:06:34.000
<v Speaker 1>They love that kind of you know, cryptographic challenge. How

1:06:34.040 --> 1:06:37.320
<v Speaker 1>did they all kind of get together, if you will,

1:06:37.600 --> 1:06:42.160
<v Speaker 1>how did they become this band of individuals pursuing cybersecurity

1:06:42.160 --> 1:06:45.640
<v Speaker 1>and fighting against ransomware. Well that one of them is

1:06:45.720 --> 1:06:48.560
<v Speaker 1>named Lawrence Abrahams. He lives on Long Island, and he's

1:06:48.640 --> 1:06:54.120
<v Speaker 1>the founder and main spirit behind a site called Bleeping Computer,

1:06:54.240 --> 1:06:57.760
<v Speaker 1>which is kind of like the salon of the ransomware movement,

1:06:57.800 --> 1:07:01.520
<v Speaker 1>you know, the ransomware world when everybody goes there, victims, hackers,

1:07:01.600 --> 1:07:05.880
<v Speaker 1>law enforcement, insurance companies, and his his site predated ransomware,

1:07:06.320 --> 1:07:10.240
<v Speaker 1>and when it started to become big, Lawrence recognized that

1:07:10.280 --> 1:07:13.360
<v Speaker 1>it was a potential threat, and he had a lot

1:07:13.360 --> 1:07:15.880
<v Speaker 1>of contacts in a lot of places, and he began

1:07:16.480 --> 1:07:19.800
<v Speaker 1>organizing some of his friends and contacts to help fight it.

1:07:20.320 --> 1:07:23.520
<v Speaker 1>And then now they take new members, you know, they

1:07:23.520 --> 1:07:25.640
<v Speaker 1>had they have to have a unanimous vote, and if

1:07:25.680 --> 1:07:28.440
<v Speaker 1>there's somebody they consider worthy, they'll bring that person in.

1:07:28.840 --> 1:07:32.960
<v Speaker 1>But Lawrence was really the motivating spirit behind it. But

1:07:33.080 --> 1:07:35.840
<v Speaker 1>so interesting to me is that this team is not

1:07:36.120 --> 1:07:39.760
<v Speaker 1>law enforcement. Are the criminals two steps ahead of us?

1:07:39.800 --> 1:07:41.800
<v Speaker 1>One step ahead of us? I mean, this has got

1:07:41.800 --> 1:07:45.520
<v Speaker 1>to be something that concerns you. Yeah, the criminals are

1:07:45.560 --> 1:07:48.760
<v Speaker 1>always one step ahead. It's a bit of a whack

1:07:48.800 --> 1:07:51.800
<v Speaker 1>a mole situation, and in fact, in a strange way,

1:07:51.840 --> 1:07:54.440
<v Speaker 1>the hunting team, who as you say, are just volunteers

1:07:54.480 --> 1:07:56.880
<v Speaker 1>doing the best they can in a in an odd way,

1:07:56.920 --> 1:08:00.840
<v Speaker 1>they kind of contribute to ransomware getting better because what

1:08:00.920 --> 1:08:04.360
<v Speaker 1>happens is this, Let's say a victim is attacked, they

1:08:04.440 --> 1:08:08.080
<v Speaker 1>upload the files that have been disabled to the hunting team.

1:08:08.120 --> 1:08:10.960
<v Speaker 1>It looks at them, it discovers a mistake in the coding,

1:08:11.240 --> 1:08:13.560
<v Speaker 1>It finds the key, it gives it to the victim.

1:08:13.640 --> 1:08:16.320
<v Speaker 1>That victim and other victims then don't pay the ransom.

1:08:16.680 --> 1:08:19.960
<v Speaker 1>So the hackers then discover, oh, you know, we're no

1:08:20.040 --> 1:08:23.360
<v Speaker 1>money is coming in. Somebody must have cracked our code.

1:08:23.400 --> 1:08:25.559
<v Speaker 1>There must be a flaw, and they go through and

1:08:25.560 --> 1:08:29.479
<v Speaker 1>they fix that vulnerability, and the ransomware gets even better. So,

1:08:29.840 --> 1:08:32.000
<v Speaker 1>you know, the hunting team has had all these wonderful

1:08:32.240 --> 1:08:35.200
<v Speaker 1>short term successes, but in the long term they're they're

1:08:35.200 --> 1:08:37.599
<v Speaker 1>almost like a product tester for the for the hackers,

1:08:37.640 --> 1:08:41.040
<v Speaker 1>and so the ransomware gangs, the quality of their ransomware

1:08:41.680 --> 1:08:44.720
<v Speaker 1>keeps getting better and better, and also their tactics keep

1:08:44.760 --> 1:08:48.360
<v Speaker 1>getting more and more ominous. They're attacking bigger targets, they're

1:08:48.400 --> 1:08:52.600
<v Speaker 1>demanding more money, and they're getting increasingly dangerous. That was

1:08:52.680 --> 1:08:55.040
<v Speaker 1>Dan Golden. He's a senior editor at pro Public and

1:08:55.040 --> 1:08:58.040
<v Speaker 1>the co author of a new book, The Ransomware Hunting Team,

1:08:58.360 --> 1:09:00.840
<v Speaker 1>A band of misfits and probable you say, to save

1:09:00.880 --> 1:09:04.000
<v Speaker 1>the world from cybercrime. It's out now, And that wraps

1:09:04.080 --> 1:09:07.160
<v Speaker 1>up the weekend edition of Bloomberg Business Week from Bloomberg Radio.

1:09:07.280 --> 1:09:09.439
<v Speaker 1>Thanks so much for joining us. For Carol Master and

1:09:09.520 --> 1:09:12.599
<v Speaker 1>Katie Greifeld, I'm Tim Stanovic. Be sure to tune into

1:09:12.600 --> 1:09:14.960
<v Speaker 1>Bloomberg Business Week Monday through Friday. It starts at two

1:09:15.000 --> 1:09:17.639
<v Speaker 1>pm Wall Street Time on Bloomberg Radio. You can also

1:09:17.680 --> 1:09:20.719
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1:09:20.760 --> 1:09:23.519
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1:09:23.520 --> 1:09:25.880
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1:09:26.000 --> 1:09:29.200
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1:09:29.280 --> 1:09:32.040
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1:09:32.400 --> 1:09:34.839
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1:09:41.880 --> 1:09:43.080
<v Speaker 1>This is Bloomberg