WEBVTT - Bloomberg Businessweek Weekend - August 11th, 2023

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<v Speaker 1>This is Bloomberg business Week Inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>gloom oall business finance and tech news. The Bloomberg Business

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<v Speaker 1>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 2>A nothing like a mellow week during the dog days

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<v Speaker 2>of summer. Not so much hunted.

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<v Speaker 3>I mean, I thought everyone was on vacation.

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<v Speaker 2>Apparently not.

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<v Speaker 3>They might be, but FED officials are not.

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<v Speaker 4>No, not at all.

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<v Speaker 2>We had FED speak more news about banks, inflation, also

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<v Speaker 2>AI's potential impact on the financial system and the job market.

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<v Speaker 2>We're going to get into all of that later on

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<v Speaker 2>this hour, along with a very important story about how

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<v Speaker 2>the US is driving gun exports and fueling violence around

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<v Speaker 2>the world. It's a rather sobering story.

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<v Speaker 3>Yeah, it really is. We be in though, Carol with Disney,

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<v Speaker 3>the world's largest entertainment company, announcing a third quarter earnings beat,

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<v Speaker 3>also saying capital spending and outlays for movies and TV

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<v Speaker 3>sho are coming in lower than projected. About three billion

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<v Speaker 3>dollars worth of those savings are due to production cuts

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<v Speaker 3>tied to the writer and actor strikes that are happening

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<v Speaker 3>in Hollywood.

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<v Speaker 2>Meantime, we learned just ahead of that earnings are part,

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<v Speaker 2>about twenty four hours before it, that Disney is getting

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<v Speaker 2>into the sports betting business with casino operator Penn Entertainment.

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<v Speaker 2>We asked Bloomberg News Entertainment editor Chris Paul Mary about

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<v Speaker 2>the implications.

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<v Speaker 5>Well, big deal for ESPN. You know, this is something

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<v Speaker 5>Disney historically didn't like to get into gambling. They wouldn't

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<v Speaker 5>license their characters the slot machines or put them on

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<v Speaker 5>their cruise lines. But a couple of years ago, then

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<v Speaker 5>CEO Bob Japik said, Oh, I think that's changed. We

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<v Speaker 5>really need to get some money out of the ESPN

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<v Speaker 5>sports betting situation, and that was talked. They talked with

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<v Speaker 5>a lot of people in the business. But now they

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<v Speaker 5>found their partner. Very interesting choice. Pen is a regional

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<v Speaker 5>casino operator that bet big on online sports. Their biggest

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<v Speaker 5>you know that was a Canadian sports betting brand called

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<v Speaker 5>The Score. But they also had bought Barstool for about

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<v Speaker 5>five hundred million, and Barstool, of course very controversial figure

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<v Speaker 5>in Dave Portnoy, caused them trouble with regulators in some states,

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<v Speaker 5>and so the CEO J. Snowden decided to do this

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<v Speaker 5>deal with ESPN and get rid of Barstool.

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<v Speaker 2>What I feel like this?

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<v Speaker 3>I mean from hold on, Sorry, I'm sorry. Yeah, there's

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<v Speaker 3>like no polar opposite, bigger polar opposite to Barstool and

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<v Speaker 3>Dave Portney than Mickey Mouse and Disney.

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<v Speaker 2>Except except wait, go back, right, Chris, Because wasn't it

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<v Speaker 2>a few years ago, two three years ago ESPN didn't

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<v Speaker 2>they create a studio in Vegas and was all about

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<v Speaker 2>sports betting?

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<v Speaker 5>Right? Yeah, they've slowly inched in. They've taken a lot

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<v Speaker 5>of advertising dollars from sports betting companies everybody has, so,

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<v Speaker 5>you know, but to actually use the ESPN brand in

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<v Speaker 5>an online sports app, which is what this is going

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<v Speaker 5>to be, ESPN Bet. This is this is a whole

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<v Speaker 5>new level.

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<v Speaker 3>So is this a Chpeck move or an aigremove.

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<v Speaker 6>Sort of?

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<v Speaker 5>The embracing of sports betting began with Chaypeck, but he

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<v Speaker 5>didn't close a deal, so you got a credit. I

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<v Speaker 5>agree for this. Back then, the rumor was that they

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<v Speaker 5>were going to partner with DraftKings, but that didn't happen.

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<v Speaker 5>So you know, a lot of money for ESPN at

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<v Speaker 5>a time it could use it. Frankly, one point five

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<v Speaker 5>billion dollars to be paid over ten years. They got

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<v Speaker 5>additional stock warrants in Penn, and Penn has the right

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<v Speaker 5>to exclude, you know, sorry, to continue the deal for

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<v Speaker 5>another ten years. So a lot of long term relationship,

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<v Speaker 5>lucrative potentially to both sides.

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<v Speaker 2>All right, so help me out here. We've got a company, Disney,

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<v Speaker 2>well known for so many different businesses. It's one hundred

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<v Speaker 2>and sixty one billion dollar market cap. It does report

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<v Speaker 2>earnings tomorrow, and I'm thinking about the financial side of

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<v Speaker 2>this deal. We're looking at for twenty twenty three, almost

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<v Speaker 2>ninety billion dollars in revenue forecast. If I look at

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<v Speaker 2>the FA function on the Bloomberg, how does a deal

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<v Speaker 2>like this move the revenue needle? Are the earnings needle?

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<v Speaker 2>The financial picture for Disney, it's a.

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<v Speaker 5>Pretty pretty nice bump there, you know, one hundred and

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<v Speaker 5>fifty million dollars a year, and you know, presumably there'll

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<v Speaker 5>be some other gains, you know, on the stock that

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<v Speaker 5>they're they're getting from Pen. So you know that's that's

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<v Speaker 5>not nothing, and it hasn't clear yet they're going to

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<v Speaker 5>do a presentation Ofmorrow how it's going to work in

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<v Speaker 5>terms of advertising. So right now Penn is paying for

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<v Speaker 5>the name. But what about additional advertisements you may put

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<v Speaker 5>on the ESPN networks? You know, ESPN isn't saying if

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<v Speaker 5>this is the exclusive betting partner, but that doesn't mean

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<v Speaker 5>they can't still take ads from FanDuel or Draft Kings

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<v Speaker 5>or some other player.

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<v Speaker 3>That's a good quo.

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<v Speaker 5>Yeah, so potentially still a lot of money here for

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<v Speaker 5>for Disney and ESPN.

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<v Speaker 3>Or if your DraftKings are fandueled, do you really want

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<v Speaker 3>to advertise on on ESPN? You know, it's like you

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<v Speaker 3>saw the card makers pull back from advertising on Twitter

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<v Speaker 3>after Elon Musk bought it because you're not going to

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<v Speaker 3>want to, you know, give the guy who runs your

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<v Speaker 3>biggest EV competitor money. Okay, so lots of questions here, Chris.

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<v Speaker 3>I wanted to start with like a cultural question or

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<v Speaker 3>like a sort of brand tarnishing question. Maybe I'm in

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<v Speaker 3>the minority, but I associate Penn with Barstool and with

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<v Speaker 3>Dave Portnoy, and I'm wondering if there's any brand or

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<v Speaker 3>reputation risk to Disney associating itself with a company that

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<v Speaker 3>literally until you know what ten minutes ago, thirty minutes ago,

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<v Speaker 3>had embraced, had embraced Dave Portney and all the controversy

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<v Speaker 3>that he that he brings with him.

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<v Speaker 5>Right, you know, the worst of the stuff about Portnoy,

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<v Speaker 5>you know, allegations that he really mistreated women came out

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<v Speaker 5>after the acquisition. J. Snowden, the CEO PEN, did defend

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<v Speaker 5>Portnoy kind of publicly after those things. So there is

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<v Speaker 5>that issue. But the very fact that they're sort of

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<v Speaker 5>cutting them loose entirely suggests that you know, they you know,

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<v Speaker 5>they didn't keep them around in some fashion. You know,

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<v Speaker 5>they're saying goodbye. That might have been a condition by

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<v Speaker 5>Disney to your point, But I don't think this necessarily

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<v Speaker 5>hangs on Pen so much, you know, because they are

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<v Speaker 5>cutting them. And the question also is how much poor

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<v Speaker 5>Noise is paying for the business. As I said, they've

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<v Speaker 5>Penn paid about five hundred and fifty million for Barstool

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<v Speaker 5>over a couple of years. I suspect that por Noy's

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<v Speaker 5>buying it back for a whole lot less.

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<v Speaker 2>Well, okay, so as you think about Disney, right, the

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<v Speaker 2>reporting earnings tomorrow, and I'm curious, you know, I'm sure

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<v Speaker 2>there's going to be a few questions about this on

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<v Speaker 2>the call. How are you thinking about the Disney story

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<v Speaker 2>right now and the evolution and now that Bob I

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<v Speaker 2>Go is back and we know he's going to be

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<v Speaker 2>there for a few more years. We got that news

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<v Speaker 2>we last month, So how are you thinking about it

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<v Speaker 2>and what the Disney story, the Disney company story is

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<v Speaker 2>going forward?

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<v Speaker 5>You know, some very interesting language in the press release

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<v Speaker 5>about this deal. He specifically said ESPN was getting the

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<v Speaker 5>one point five billion, ESPN was getting the warrants. You know,

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<v Speaker 5>under Disney only owned eighty percent of ESPN and Hearst

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<v Speaker 5>Corporales the other twenty percent. So that just may all

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<v Speaker 5>there is to it, but it also could be establishing

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<v Speaker 5>that ESPN is this sort of separate business that will

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<v Speaker 5>soon start reporting entirely separate financials, you know, from from Disney.

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<v Speaker 5>Historically it's all been lumped together, so you can read

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<v Speaker 5>what you're made into that.

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<v Speaker 3>I mean, I'm you know, am I reading like a

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<v Speaker 3>private equity coming in and buying.

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<v Speaker 2>It like IPO? You know.

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<v Speaker 5>The last I has had sort of mixed comments about this.

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<v Speaker 5>His most recent statements were that he believed that ESPN

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<v Speaker 5>was a business worth keeping and they needed to be

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<v Speaker 5>in the sports business, so he may elaborate there. They're

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<v Speaker 5>now looking for another strategic partner. This is that's a

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<v Speaker 5>separate issue from this this this is the sports betting partner.

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<v Speaker 5>They're still looking for an investor. It's presumed to be

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<v Speaker 5>a large tech company or possibly one of the sports

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<v Speaker 5>leagues that would sort of offer something more than money

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<v Speaker 5>to them as they make this grand transition into the

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<v Speaker 5>online world.

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<v Speaker 3>I should note that shares of Pen in the after

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<v Speaker 3>hours right now up twenty four percent, so bouncing around,

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<v Speaker 3>but investors are certainly happy in the after after hours.

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<v Speaker 3>Does is this how bad of news is this for?

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<v Speaker 3>And then this is back to you know, less on

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<v Speaker 3>Disney as an entire company. More on this part new partnership, Chris.

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<v Speaker 3>What about for the other companies like the Draft Kings

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<v Speaker 3>and the fan Duels, the points bets. What does it

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<v Speaker 3>mean for them?

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<v Speaker 5>Well, it's it's interesting because the business the battle is

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<v Speaker 5>already in a way. Well then, one, I mean Vanduel

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<v Speaker 5>has something like forty five percent market share sports betting

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<v Speaker 5>in the US. I think DraftKings is twenty two percent.

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<v Speaker 5>Coming up close is MGM, BET MGM, and then Caesar's.

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<v Speaker 5>You put them all together, you're way past eighty percent,

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<v Speaker 5>you know, controlled by just four companies. So so Penn

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<v Speaker 5>in a way was already and also ran. It's you know,

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<v Speaker 5>it's interesting. You know, they're the ones paying one and

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<v Speaker 5>a half billion dollars in cash and their stock jumps

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<v Speaker 5>and Disneys didn't really move much. It seems like Disney's

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<v Speaker 5>getting a pretty good deal out of this. Yeah, that's

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<v Speaker 5>a good point, and you know, it's still a big

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<v Speaker 5>risk for Penn. I mean, yes, they're getting the premier

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<v Speaker 5>name in sports media, no question about that, and all

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<v Speaker 5>the reach that all the ESPN channels have, but they've

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<v Speaker 5>still got to earn it back in the marketplace, which

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<v Speaker 5>is ferociously competitive.

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<v Speaker 3>I will say Carol shares of DraftKings in the after

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<v Speaker 3>hours down more than nine percent on this news.

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<v Speaker 2>Wow, so we're seeing certainly some reaction. So what does

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<v Speaker 2>portnoy end up with? Am I missing something?

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<v Speaker 3>He's tweeted a couple of times, but you know I

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<v Speaker 3>can't read his tweets because I'm not logged into Twitter,

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<v Speaker 3>And you know, Elon Musk changed it, but he tweeted

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<v Speaker 3>the barstools back and that, uh, you know, breaking news

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<v Speaker 3>he bought it. What do you what do you think,

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<v Speaker 3>Chris Well?

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<v Speaker 5>I think he was probably chatting under the corporate you know, ownership,

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<v Speaker 5>the idea that you know, he had to answer to

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<v Speaker 5>casino regularators all around the country. You know that probably

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<v Speaker 5>didn't go well with him. And so now he can

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<v Speaker 5>go back to private ownership of his his business and

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<v Speaker 5>and continue to say whatever he wants without the same

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<v Speaker 5>level of pressure.

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<v Speaker 3>I think in his Twitter bio or x bio he

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<v Speaker 3>says he owns a ton of penstock. Do we know

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<v Speaker 3>anything about how you know that ownership changes? Does he

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<v Speaker 3>still have penstock? Has he divested?

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<v Speaker 5>I haven't heard about that. In fact, we were never

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<v Speaker 5>ever really to crack how much he had of barstool

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<v Speaker 5>to begin with. So but you know, it's it's a

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<v Speaker 5>sizeable amount of money. And I haven't heard anything of

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<v Speaker 5>any divestrogers by him.

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<v Speaker 2>Anything interesting about the timing of this news to.

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<v Speaker 5>You, Chris Well, to your earlier question about Bob Iiger

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<v Speaker 5>and what he's doing. You know, he's had a rough

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<v Speaker 5>time since he came back in November. Really nothing has

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<v Speaker 5>worked a lot of trouble, continued deterioration at TV, continue

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<v Speaker 5>losses in Disney, plus you know, the movie business and

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<v Speaker 5>not doing great. So he's got his work cut out

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<v Speaker 5>for him and he can at least point to this

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<v Speaker 5>as you know, getting one deal done that's a significant one.

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<v Speaker 7>Yeah.

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<v Speaker 2>I do wonder too, Like I mean, you know, obviously

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<v Speaker 2>kind of setting the tone by this deal that is gonna,

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<v Speaker 2>you know, take up a lot of the oxygen on

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<v Speaker 2>the analyst call.

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<v Speaker 3>But Carol, that big of a deal when it comes

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<v Speaker 3>to Disney's business. This is a great question for Chris too.

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<v Speaker 3>I mean, when it comes to Disney's business. Yes, we're

0:11:49.400 --> 0:11:50.800
<v Speaker 3>talking about this and we've been talking about it for

0:11:50.840 --> 0:11:53.000
<v Speaker 3>ten minutes because it's breaking news and it's really interesting.

0:11:53.040 --> 0:11:55.440
<v Speaker 3>But at the end of the day, to what extent

0:11:55.480 --> 0:11:57.600
<v Speaker 3>is this going to affect Disney's bottom line? Like you said, Chris,

0:11:57.679 --> 0:11:59.199
<v Speaker 3>it's not moving Disney shares.

0:11:59.720 --> 0:12:03.720
<v Speaker 5>No, But if you think about a standalone ESPN, it

0:12:03.800 --> 0:12:08.040
<v Speaker 5>becomes more significant. You know, it's not going to solve everything,

0:12:08.200 --> 0:12:11.960
<v Speaker 5>but and it gets them out in the online world

0:12:12.000 --> 0:12:14.520
<v Speaker 5>and you know, they obviously were big players, but you know,

0:12:14.600 --> 0:12:20.079
<v Speaker 5>it establishes that relationship with the betters who are sports fans,

0:12:20.160 --> 0:12:23.920
<v Speaker 5>and so this, you know, this is definitely a positive

0:12:23.920 --> 0:12:24.640
<v Speaker 5>for ESPN.

0:12:26.000 --> 0:12:28.200
<v Speaker 2>So hey, listen, I am wondering, Chris, when it comes

0:12:28.200 --> 0:12:30.480
<v Speaker 2>to the call tomorrow, what is it that you think

0:12:31.000 --> 0:12:33.839
<v Speaker 2>investors or analysts should be asking about this deal when

0:12:33.840 --> 0:12:35.680
<v Speaker 2>it comes to Disney.

0:12:36.600 --> 0:12:39.240
<v Speaker 5>Well, some of the questions there what are the ancillary

0:12:39.280 --> 0:12:43.640
<v Speaker 5>benefits and revenue opportunities for ESPN here? How does it

0:12:43.720 --> 0:12:48.040
<v Speaker 5>impact other you know, stream sports betting companies, Like you said,

0:12:49.760 --> 0:12:52.560
<v Speaker 5>you know, it's what does this say about sort of

0:12:53.040 --> 0:12:57.120
<v Speaker 5>ESPN's future as a standalone company. Does it, you know,

0:12:57.200 --> 0:13:00.600
<v Speaker 5>impact anything with some of the other partners it's seeking

0:13:01.800 --> 0:13:05.280
<v Speaker 5>we talked about these tech companies or leagues. So yeah,

0:13:05.800 --> 0:13:07.880
<v Speaker 5>like you said, this is gonna be a big subject

0:13:07.880 --> 0:13:09.240
<v Speaker 5>on the call tomorrow for Bob Biger.

0:13:09.400 --> 0:13:11.560
<v Speaker 2>You know what's what's interesting I always think about I

0:13:11.600 --> 0:13:13.800
<v Speaker 2>can't even now you'll know better than I will, how

0:13:13.800 --> 0:13:16.320
<v Speaker 2>many years ago was where everybody was like writing off

0:13:16.640 --> 0:13:20.360
<v Speaker 2>ESPN even though it was such a juggernaut for the company.

0:13:20.360 --> 0:13:23.520
<v Speaker 2>But right when those was it, the subscriber numbers started

0:13:23.559 --> 0:13:26.559
<v Speaker 2>to come down, And it's just like interesting, I mean,

0:13:26.559 --> 0:13:30.000
<v Speaker 2>I'm looking at our preview for earnings. Right, we're looking

0:13:30.040 --> 0:13:34.280
<v Speaker 2>at what twenty five point eight million ESPN plus subscribers.

0:13:34.600 --> 0:13:35.920
<v Speaker 2>Chris is like a decent number.

0:13:36.120 --> 0:13:37.760
<v Speaker 3>Chris, just in the last minute that we have with you,

0:13:37.760 --> 0:13:40.680
<v Speaker 3>I'm kind of obsessed with this cultural question and cultural

0:13:40.720 --> 0:13:42.880
<v Speaker 3>fit and whether or not we can still sort of

0:13:42.920 --> 0:13:45.480
<v Speaker 3>like think about Disney as a company the same way

0:13:45.520 --> 0:13:46.760
<v Speaker 3>we thought about it when you're really.

0:13:46.600 --> 0:13:47.960
<v Speaker 2>Worried about meeting Mickey.

0:13:49.040 --> 0:13:49.240
<v Speaker 8>I'm not.

0:13:49.280 --> 0:13:52.640
<v Speaker 5>Here's what Bob. Here's how Bob's take answered that question before.

0:13:52.720 --> 0:13:55.559
<v Speaker 5>Because the issue was could Disney even be in batting

0:13:55.640 --> 0:13:56.319
<v Speaker 5>at all?

0:13:56.480 --> 0:13:56.680
<v Speaker 3>Yeah?

0:13:56.760 --> 0:14:00.480
<v Speaker 5>No, and the they historically fought casinos in Florida forever.

0:14:00.880 --> 0:14:05.600
<v Speaker 5>And so the Chapairs answer was the customers of Disney

0:14:05.679 --> 0:14:09.000
<v Speaker 5>and ESPN were just thinking that the ESPN fans really

0:14:09.120 --> 0:14:12.360
<v Speaker 5>wanted more sports betting. Uh, they didn't see an issue

0:14:12.360 --> 0:14:14.920
<v Speaker 5>with it, and that's why he began this pursuit of

0:14:14.960 --> 0:14:15.880
<v Speaker 5>the sports betting deal.

0:14:16.040 --> 0:14:18.080
<v Speaker 3>Well, just think about it from a content perspective too.

0:14:18.120 --> 0:14:19.760
<v Speaker 3>I mean, you you you know, you see the f

0:14:20.120 --> 0:14:23.920
<v Speaker 3>FX and fx X on Hulu, which is you know,

0:14:25.000 --> 0:14:27.360
<v Speaker 3>you know, Disney owns a big port. Disney owns FX

0:14:27.800 --> 0:14:31.120
<v Speaker 3>from its Fox acquisition. Uh, and you know, the content

0:14:31.160 --> 0:14:33.800
<v Speaker 3>there is like not Disney content by any means, Chris,

0:14:33.840 --> 0:14:34.840
<v Speaker 3>just you know, ten seconds.

0:14:34.960 --> 0:14:38.640
<v Speaker 5>Yeah, there's there's no question that the sports betting has

0:14:38.680 --> 0:14:41.240
<v Speaker 5>just become palatable in a lot of I mean it's

0:14:41.240 --> 0:14:44.280
<v Speaker 5>taken off like wildfire across the country. Uh and it

0:14:44.560 --> 0:14:46.360
<v Speaker 5>you know, it's almost as gold as.

0:14:46.280 --> 0:14:50.360
<v Speaker 2>Mickey Mouse, the betting bars, the betting roller coaster, the

0:14:50.400 --> 0:14:53.520
<v Speaker 2>betting go you can bet on the cruise ships.

0:14:53.200 --> 0:14:56.320
<v Speaker 3>Like look at the SUC getting Space Mountain within an hour,

0:14:56.480 --> 0:14:58.680
<v Speaker 3>witting in this line exactly.

0:14:58.720 --> 0:15:01.360
<v Speaker 2>Chris Paul Mary, Thank you so much. Bloomberg News Entertainment

0:15:01.480 --> 0:15:03.720
<v Speaker 2>editor Chris Paul Mary joining us out there from the

0:15:03.760 --> 0:15:04.360
<v Speaker 2>West coast.

0:15:04.400 --> 0:15:07.600
<v Speaker 3>We should note that Dave Portnoy reacquired the barstool brand

0:15:07.600 --> 0:15:11.600
<v Speaker 3>that he founded for just one dollar. Pen Entertainment said

0:15:11.600 --> 0:15:13.120
<v Speaker 3>it could take a loss of up to eight hundred

0:15:13.120 --> 0:15:14.920
<v Speaker 3>and fifty million dollars on the transaction.

0:15:15.000 --> 0:15:17.120
<v Speaker 2>I think it was in crypto check dollar. What do

0:15:17.120 --> 0:15:17.600
<v Speaker 2>you think it was.

0:15:17.760 --> 0:15:20.400
<v Speaker 3>I mean, the first time, he says, the first time

0:15:20.400 --> 0:15:22.880
<v Speaker 3>in ten years that he's fully owned it.

0:15:22.880 --> 0:15:25.320
<v Speaker 2>It's a really fascinating deal this past week, all right,

0:15:25.400 --> 0:15:28.080
<v Speaker 2>the ESPN and PEN Entertainment News, though, as we said

0:15:28.160 --> 0:15:31.240
<v Speaker 2>just about twenty four hours before Disney actually reported earnings

0:15:31.440 --> 0:15:34.160
<v Speaker 2>that came on Wednesday, and a bit of Disney news.

0:15:34.200 --> 0:15:37.080
<v Speaker 2>On that earnings call, the company announced it's raising prices

0:15:37.080 --> 0:15:39.960
<v Speaker 2>for some streaming subscriptions by as much as twenty seven percent.

0:15:40.400 --> 0:15:43.840
<v Speaker 2>We got reaction and reasoning from Bloomberg Intelligence Technology and

0:15:43.880 --> 0:15:45.920
<v Speaker 2>media analyst Kita Ranganantha.

0:15:45.960 --> 0:15:48.560
<v Speaker 9>They have pricing power, and they know it, and they're

0:15:48.560 --> 0:15:51.160
<v Speaker 9>going to exercise it. And this is what it's really

0:15:51.200 --> 0:15:53.600
<v Speaker 9>coming down to now in the streaming wars, right, So

0:15:54.080 --> 0:15:57.800
<v Speaker 9>the subscriber hyper focus is over and done with. Now

0:15:57.800 --> 0:16:01.000
<v Speaker 9>it's all about our pool, growing rep new per user.

0:16:01.080 --> 0:16:03.840
<v Speaker 9>And that's exactly what Disney is doing. This should pad

0:16:04.000 --> 0:16:06.480
<v Speaker 9>not only the top line, but also the bottom line.

0:16:06.600 --> 0:16:09.120
<v Speaker 3>Okay, I'm not going to defend Disney, Kita, I'm not

0:16:09.120 --> 0:16:11.840
<v Speaker 3>going to defend any of the companies that are raising

0:16:11.880 --> 0:16:14.040
<v Speaker 3>prices left and right here, But I am going to

0:16:14.080 --> 0:16:17.680
<v Speaker 3>point out that in the previous life, when there were

0:16:17.720 --> 0:16:20.160
<v Speaker 3>no streaming services, when we were just paying one single

0:16:20.200 --> 0:16:23.480
<v Speaker 3>cable provider every year for everything, they raise their prices

0:16:23.480 --> 0:16:24.960
<v Speaker 3>every year and no news was ever made.

0:16:27.360 --> 0:16:30.120
<v Speaker 9>Yeah, but they did it gently and they're not a Rabbit.

0:16:30.320 --> 0:16:32.720
<v Speaker 9>I don't think they did a twenty seven percent increase.

0:16:32.760 --> 0:16:35.720
<v Speaker 9>They did it like three to four percent every year, So.

0:16:35.640 --> 0:16:38.440
<v Speaker 3>This one does. Do you expect this to lead to churn?

0:16:39.600 --> 0:16:41.760
<v Speaker 9>So it might lead to some churn, I think on

0:16:41.800 --> 0:16:44.000
<v Speaker 9>the margin, But I think this is really where all

0:16:44.040 --> 0:16:46.840
<v Speaker 9>of the streaming players are headed, right, So it's going

0:16:46.880 --> 0:16:49.600
<v Speaker 9>to come down to a shakeout, and Disney and Netflix

0:16:49.600 --> 0:16:51.880
<v Speaker 9>are actually going to force that shakeout because at the

0:16:51.920 --> 0:16:53.280
<v Speaker 9>end of the day, you're only going to be able

0:16:53.320 --> 0:16:56.480
<v Speaker 9>to spend X amount of dollars per month on streaming,

0:16:56.520 --> 0:16:59.040
<v Speaker 9>and they're basically telling you choose, you know, make your

0:16:59.080 --> 0:17:01.640
<v Speaker 9>pick and see which are the services that you want

0:17:01.680 --> 0:17:04.280
<v Speaker 9>the most, that you need the most. And they're hoping

0:17:04.359 --> 0:17:06.760
<v Speaker 9>that Disney and you know, Netflix is hoping that its

0:17:06.760 --> 0:17:09.080
<v Speaker 9>service will will prominently feature there.

0:17:09.960 --> 0:17:12.520
<v Speaker 2>You know, it's really interesting, right because we also you know,

0:17:12.640 --> 0:17:15.040
<v Speaker 2>you know, and I want to take the bigger picture

0:17:15.080 --> 0:17:18.159
<v Speaker 2>of Disney their post earnings the things jumping at at

0:17:18.160 --> 0:17:20.840
<v Speaker 2>you because they did report right their loss from streaming

0:17:21.359 --> 0:17:23.600
<v Speaker 2>narrow by half to five hundred and twelve million in

0:17:23.640 --> 0:17:25.840
<v Speaker 2>that fiscal third quarter, but it was still far less

0:17:25.840 --> 0:17:28.720
<v Speaker 2>than what management had forecast about three months ago give

0:17:28.840 --> 0:17:31.320
<v Speaker 2>us all the picture that is Disney and how you

0:17:31.359 --> 0:17:31.719
<v Speaker 2>see it.

0:17:32.640 --> 0:17:35.520
<v Speaker 9>Yeah, I think, you know, this quarter was really more

0:17:35.640 --> 0:17:37.840
<v Speaker 9>about you know, of course, we knew that the numbers

0:17:37.840 --> 0:17:40.959
<v Speaker 9>were not going to be the greatest. Having said that, though,

0:17:41.040 --> 0:17:43.520
<v Speaker 9>of course, the profit numbers did come up slightly better

0:17:43.560 --> 0:17:46.840
<v Speaker 9>than expected. As you just pointed out. The streaming subscribers, however,

0:17:47.000 --> 0:17:49.359
<v Speaker 9>was a miss. But I don't necessarily think that's a

0:17:49.359 --> 0:17:52.440
<v Speaker 9>bad thing because the subscribers that they lost were really

0:17:52.480 --> 0:17:54.680
<v Speaker 9>twelve and a half million subscribers lost on their hot

0:17:54.680 --> 0:17:57.320
<v Speaker 9>Star product, which is, you know, their Indian service, that

0:17:57.480 --> 0:18:00.480
<v Speaker 9>is a very low revenue generating product, not a high

0:18:00.560 --> 0:18:03.960
<v Speaker 9>value subscriber that they're losing. And so I think that's okay.

0:18:03.960 --> 0:18:05.679
<v Speaker 9>The Street is kind of okay with that, but.

0:18:06.560 --> 0:18:08.800
<v Speaker 3>Sorry to cut you off their gita. But shouldn't the

0:18:08.800 --> 0:18:12.600
<v Speaker 3>street have expected that because they came in substantially below estimates,

0:18:12.640 --> 0:18:15.600
<v Speaker 3>the Street's estimate. Shouldn't that have been baked into the estimates.

0:18:15.760 --> 0:18:18.520
<v Speaker 9>They did bake in about three and a half four

0:18:18.560 --> 0:18:22.400
<v Speaker 9>million losses. This came and of course substantially higher so cricket.

0:18:22.520 --> 0:18:25.000
<v Speaker 9>You know, I think they kind of underestimated the power

0:18:25.080 --> 0:18:26.800
<v Speaker 9>of cricket in the Indian sub God.

0:18:26.920 --> 0:18:30.280
<v Speaker 2>Okay, what else is important? We see Disney though lower

0:18:30.280 --> 0:18:32.240
<v Speaker 2>in the aftermarket. What else do we need to know?

0:18:32.240 --> 0:18:34.359
<v Speaker 2>And unfortunately got about forty five seconds.

0:18:34.640 --> 0:18:36.879
<v Speaker 9>Yes, I think the other key thing that we really

0:18:36.920 --> 0:18:38.359
<v Speaker 9>need to look at is parks and what are the

0:18:38.400 --> 0:18:41.320
<v Speaker 9>trends at parks. Parks actually brings in seventy percent or

0:18:41.359 --> 0:18:44.119
<v Speaker 9>seventy five percent of Disney's operating profit this year, so

0:18:44.119 --> 0:18:46.919
<v Speaker 9>it's really key to understand what the trends are looking like,

0:18:47.000 --> 0:18:49.680
<v Speaker 9>I think. And the domestic parks we are seeing some

0:18:49.720 --> 0:18:53.760
<v Speaker 9>softness that was kind of offset by international strength because

0:18:53.760 --> 0:18:55.520
<v Speaker 9>this was the first time that we had all of

0:18:55.520 --> 0:18:58.840
<v Speaker 9>the international parks open after all of those COVID closures.

0:18:58.880 --> 0:19:00.520
<v Speaker 9>But it's going to be interesting to see what exactly

0:19:00.520 --> 0:19:02.920
<v Speaker 9>they're saying about attendance and occupancy rates.

0:19:02.720 --> 0:19:05.040
<v Speaker 2>The transformation at Disney, a new Disney.

0:19:05.119 --> 0:19:08.520
<v Speaker 9>It's underway, I definitely hope, so, Carol, So you know

0:19:08.560 --> 0:19:10.680
<v Speaker 9>it's going to be all about the strategic vision. We're

0:19:10.680 --> 0:19:13.359
<v Speaker 9>already seeing some of those. Yeah, those pieces in motion

0:19:13.480 --> 0:19:16.239
<v Speaker 9>with the ESPN deal. We'll have to see and what

0:19:16.280 --> 0:19:16.920
<v Speaker 9>they do next.

0:19:17.280 --> 0:19:20.240
<v Speaker 2>You're incredible. Keita ring Anathan of our Bloomberg Intelligence Team.

0:19:20.280 --> 0:19:20.639
<v Speaker 2>Thank you.

0:19:21.040 --> 0:19:24.640
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:19:24.640 --> 0:19:28.000
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:19:28.080 --> 0:19:32.119
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App,

0:19:32.400 --> 0:19:34.199
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0:19:34.920 --> 0:19:38.800
<v Speaker 2>All right, everybody, this story definitely cut our attention when

0:19:38.800 --> 0:19:40.920
<v Speaker 2>we were reading in this morning. It is a most

0:19:40.920 --> 0:19:43.440
<v Speaker 2>read on the Bloomberg It's also because it's the Bloomberg

0:19:43.480 --> 0:19:46.400
<v Speaker 2>Big Take, which means our top editors here at Bloomberg

0:19:46.400 --> 0:19:49.280
<v Speaker 2>News deemed this a story that we really all must

0:19:49.640 --> 0:19:52.399
<v Speaker 2>check out and read. It is a Bloomberg exclusive, and

0:19:52.480 --> 0:19:55.200
<v Speaker 2>it gets into tim how the US drives gun exports

0:19:55.240 --> 0:19:57.119
<v Speaker 2>and fuels violence around the world.

0:19:57.200 --> 0:19:58.520
<v Speaker 3>We do want to point out that every Time for

0:19:58.560 --> 0:20:02.320
<v Speaker 3>Gun Safety, which advocates safety measures, is backed by Michael Bloomberg,

0:20:02.359 --> 0:20:05.440
<v Speaker 3>founder and majority owner of Bloomberg News parent Bloomberg LP.

0:20:06.000 --> 0:20:09.080
<v Speaker 3>For more on this story, we welcome Bloomberg News Investigations

0:20:09.119 --> 0:20:12.440
<v Speaker 3>Team Manager Managing editor Flynn and McRoberts joining us from

0:20:12.440 --> 0:20:16.840
<v Speaker 3>our Chicago bureau. Flynn just an incredible deep dive one.

0:20:17.359 --> 0:20:17.480
<v Speaker 6>You know.

0:20:17.520 --> 0:20:18.800
<v Speaker 3>I got to tell you when you read a story

0:20:18.840 --> 0:20:21.200
<v Speaker 3>like this and You're like, I've never considered how American

0:20:21.240 --> 0:20:24.560
<v Speaker 3>made weapons can be exported for terror around the world,

0:20:24.960 --> 0:20:27.119
<v Speaker 3>which is something I had never considered. You know that

0:20:27.160 --> 0:20:29.480
<v Speaker 3>it's just an incredible narrative. Give us an idea of

0:20:29.480 --> 0:20:30.600
<v Speaker 3>how the story came together.

0:20:32.119 --> 0:20:36.040
<v Speaker 10>Thanks Tim So our reporting team Mike Riley, David Kashnevski,

0:20:36.040 --> 0:20:41.320
<v Speaker 10>and Eric fan We're looking at what obviously has been

0:20:41.920 --> 0:20:45.280
<v Speaker 10>much concerned with good reason of domestic with violence and

0:20:45.280 --> 0:20:47.800
<v Speaker 10>mass shootings in the United States. But we wondered what

0:20:47.920 --> 0:20:52.040
<v Speaker 10>is happening with the almost the near saturation point of

0:20:52.280 --> 0:20:53.280
<v Speaker 10>gun ownership in the US.

0:20:53.359 --> 0:20:55.320
<v Speaker 4>We're up to four hundred million.

0:20:56.840 --> 0:20:59.560
<v Speaker 10>Weapons owned by civilians in the United States, more than

0:20:59.560 --> 0:21:03.320
<v Speaker 10>the popular and we wondered what our gun companies doing

0:21:04.160 --> 0:21:06.119
<v Speaker 10>facing those kind of figures. And what we found is

0:21:06.119 --> 0:21:10.439
<v Speaker 10>that they're looking, they're turning overseas to expand sales in

0:21:10.520 --> 0:21:13.320
<v Speaker 10>other countries, and in doing so, they've got.

0:21:13.240 --> 0:21:15.200
<v Speaker 4>Not just the not just.

0:21:15.520 --> 0:21:20.320
<v Speaker 10>The the realization, but the active engagement of the US

0:21:20.600 --> 0:21:22.520
<v Speaker 10>of the federal government to encourage those sales.

0:21:22.600 --> 0:21:24.480
<v Speaker 2>So, Flynn, let's get into it, because you know, we

0:21:24.520 --> 0:21:28.080
<v Speaker 2>often talk about here at Bloomberg the US influence around

0:21:28.080 --> 0:21:32.360
<v Speaker 2>the world on business and culture and trends and politics,

0:21:32.400 --> 0:21:36.920
<v Speaker 2>if you will so much. Many often would argue it's positive.

0:21:37.040 --> 0:21:40.760
<v Speaker 2>Certainly not when it comes to guns. So how is

0:21:40.800 --> 0:21:44.359
<v Speaker 2>it that a big player in the US market two

0:21:44.359 --> 0:21:48.399
<v Speaker 2>decades ago so central to this story and so central

0:21:48.440 --> 0:21:49.800
<v Speaker 2>to what's happening overseas?

0:21:51.119 --> 0:21:53.720
<v Speaker 10>So sixth Hour you're talking about it, that was a

0:21:53.920 --> 0:21:58.400
<v Speaker 10>It was for many for generations. Actually the six Hour

0:21:59.400 --> 0:22:01.600
<v Speaker 10>was making right during the Seven Years War, to give

0:22:01.600 --> 0:22:03.600
<v Speaker 10>you a sense of how old the company was. But

0:22:04.240 --> 0:22:09.640
<v Speaker 10>in two thousand it was sold to new owners and

0:22:09.720 --> 0:22:13.919
<v Speaker 10>they were looking to looking to expand sales, and they

0:22:13.960 --> 0:22:17.480
<v Speaker 10>realized that the gun restrictions, gun export restrictions in Europe,

0:22:17.520 --> 0:22:22.600
<v Speaker 10>particularly Germany, were increasingly increasingly tight, and they wanted to

0:22:22.640 --> 0:22:23.760
<v Speaker 10>find alternatives.

0:22:23.800 --> 0:22:27.359
<v Speaker 4>So in two thousand and four they.

0:22:27.280 --> 0:22:30.719
<v Speaker 10>Hired a man Ron Cohen, who as chief Offerating Officer

0:22:30.760 --> 0:22:34.040
<v Speaker 10>and Officer, and shortly after that as CEO and Cohen

0:22:35.000 --> 0:22:39.919
<v Speaker 10>aggressively pushed the export of weapons and realized, if we're

0:22:39.920 --> 0:22:42.600
<v Speaker 10>going to do that, we need to move our manufacturing

0:22:43.240 --> 0:22:46.160
<v Speaker 10>to the United States, which they did. They're now headquartered

0:22:47.160 --> 0:22:48.560
<v Speaker 10>in New Hampshire and.

0:22:48.520 --> 0:22:49.400
<v Speaker 4>They've been from there.

0:22:49.440 --> 0:22:57.080
<v Speaker 10>They've been able to aggressively aggressively pursue international deals in

0:22:57.119 --> 0:23:02.360
<v Speaker 10>places like Thailand, which we write about in Columbia, and

0:23:02.520 --> 0:23:05.720
<v Speaker 10>they've gone from being a bit player to the largest

0:23:06.440 --> 0:23:08.119
<v Speaker 10>US exporter of firearms.

0:23:09.400 --> 0:23:13.840
<v Speaker 3>It's really remarkable. What about when it comes to regulations

0:23:13.880 --> 0:23:17.080
<v Speaker 3>in other countries when it comes to importing these weapons

0:23:17.200 --> 0:23:20.840
<v Speaker 3>of war Because we oftentimes hear in the narrative here

0:23:20.840 --> 0:23:23.120
<v Speaker 3>in the US, you know, you don't see mass shootings

0:23:23.160 --> 0:23:26.280
<v Speaker 3>happen in other or you don't see gun violence in

0:23:26.320 --> 0:23:28.840
<v Speaker 3>other countries like you see here in the US. But

0:23:29.160 --> 0:23:32.600
<v Speaker 3>reading your story, there were so many examples of this

0:23:32.720 --> 0:23:34.800
<v Speaker 3>type of the story from the team, I should say

0:23:34.800 --> 0:23:36.719
<v Speaker 3>the one that you oversaw is managing editor of the

0:23:36.720 --> 0:23:40.800
<v Speaker 3>investigations team. There are so many examples of mass shootings

0:23:40.840 --> 0:23:43.560
<v Speaker 3>and gun violence outside of the US where laws are different.

0:23:43.720 --> 0:23:48.960
<v Speaker 10>Yes, we looked at Thailand specifically because that is where

0:23:49.080 --> 0:23:55.439
<v Speaker 10>that's the six hours biggest international sales success, and sadly,

0:23:55.480 --> 0:23:57.800
<v Speaker 10>it's also the place that one of the sites of

0:23:57.840 --> 0:24:04.600
<v Speaker 10>one of the worst massacres in Thai history and even globally,

0:24:04.960 --> 0:24:11.640
<v Speaker 10>and that was October of last year. A recently retired

0:24:11.960 --> 0:24:17.160
<v Speaker 10>police officer armed with a sugarcane machete and a six

0:24:17.240 --> 0:24:21.399
<v Speaker 10>hour P. Three sixty five, stormed into a nursery school

0:24:21.520 --> 0:24:25.040
<v Speaker 10>and killed killed twenty three children and two teachers, and

0:24:25.080 --> 0:24:27.200
<v Speaker 10>went on to kill a total of thirty six people.

0:24:27.640 --> 0:24:30.119
<v Speaker 10>And the gun that he used that six hour P.

0:24:30.200 --> 0:24:34.280
<v Speaker 10>Three sixty five he obtained through something what Thailand calls

0:24:34.320 --> 0:24:36.879
<v Speaker 10>the Welfare Gun program, which is a way which is

0:24:36.920 --> 0:24:40.240
<v Speaker 10>a program in a country that has very strict gun

0:24:40.280 --> 0:24:43.560
<v Speaker 10>regulations except this major loophole, and that Welfare Gun program

0:24:43.640 --> 0:24:47.040
<v Speaker 10>allows former police officers a military to buy at a

0:24:47.119 --> 0:24:49.760
<v Speaker 10>very steep discount these pistols.

0:24:49.800 --> 0:24:52.280
<v Speaker 4>The problem was Thailand.

0:24:53.760 --> 0:24:57.200
<v Speaker 10>Gunshops in Thailand, in total, all gun shops in Thailand

0:24:57.240 --> 0:25:01.240
<v Speaker 10>can only sell roughly fifteen thousand pistols a year. That

0:25:01.359 --> 0:25:05.159
<v Speaker 10>six hour contract, just the first of two, flooded the

0:25:05.200 --> 0:25:07.879
<v Speaker 10>country with one hundred and fifty thousand, ten times that amount,

0:25:08.119 --> 0:25:11.399
<v Speaker 10>and that there was it basically became a new asset class.

0:25:11.480 --> 0:25:16.960
<v Speaker 10>Unfortunately they were able to police were many of those

0:25:17.560 --> 0:25:20.520
<v Speaker 10>those weapons wound up being diverted to criminals, to organized

0:25:20.520 --> 0:25:23.399
<v Speaker 10>crime syndicates because they were just it was the incentive

0:25:23.520 --> 0:25:25.120
<v Speaker 10>to resell those guns.

0:25:25.560 --> 0:25:27.720
<v Speaker 4>And which are very difficult to trace.

0:25:28.800 --> 0:25:32.399
<v Speaker 10>It allowed them to allow much to basically flood, the

0:25:33.840 --> 0:25:37.680
<v Speaker 10>flood Thailand with all these what turned into criminal guns.

0:25:37.440 --> 0:25:39.639
<v Speaker 2>Right because they got them at below market prices, right,

0:25:39.640 --> 0:25:41.320
<v Speaker 2>they got a deal on them and then they could

0:25:41.760 --> 0:25:44.960
<v Speaker 2>throw around. And you know what's interesting is there was

0:25:45.000 --> 0:25:46.920
<v Speaker 2>a story at the very beginning, I mean a line

0:25:47.000 --> 0:25:50.960
<v Speaker 2>excuse me, where it said the federal government US federal

0:25:51.000 --> 0:25:55.119
<v Speaker 2>government has helped push international sales of rapid fire guns

0:25:55.119 --> 0:25:56.760
<v Speaker 2>to record levels. I want to kind of make the

0:25:56.800 --> 0:26:02.080
<v Speaker 2>connection of how we can kind of blame the US

0:26:02.880 --> 0:26:05.520
<v Speaker 2>for getting more guns out there. I think many people

0:26:05.520 --> 0:26:08.120
<v Speaker 2>would argue part of the problem is, like you said,

0:26:08.160 --> 0:26:11.320
<v Speaker 2>there's four hundred million consumer guns or guns in the

0:26:11.400 --> 0:26:13.520
<v Speaker 2>hands of consumers here in the United States. That number

0:26:13.560 --> 0:26:16.080
<v Speaker 2>is staggering that when you have more guns around, there's

0:26:16.080 --> 0:26:18.119
<v Speaker 2>going to be more problems. How is it that the

0:26:18.240 --> 0:26:21.520
<v Speaker 2>US federal government, Democrats and Republicans alike, had a role

0:26:22.200 --> 0:26:23.720
<v Speaker 2>in this change? And I kind of want to get

0:26:23.760 --> 0:26:26.919
<v Speaker 2>from the shift of oversight going from the State Department,

0:26:27.119 --> 0:26:29.119
<v Speaker 2>which seems probably like the rules were a little bit

0:26:29.119 --> 0:26:33.280
<v Speaker 2>more stringent to commerce, which is like basically, let's sell stuff.

0:26:33.760 --> 0:26:37.879
<v Speaker 10>That's right and this and to be fair, this started

0:26:39.040 --> 0:26:44.000
<v Speaker 10>under Barack Obama's during a second term, and they were

0:26:44.000 --> 0:26:48.560
<v Speaker 10>trying to rationalize the rules where the State Department would

0:26:48.600 --> 0:26:51.400
<v Speaker 10>handle They thought, well, let's the State Timerichine handle heavy

0:26:51.440 --> 0:26:54.280
<v Speaker 10>military hardware like fighter jets and artillery and so forth,

0:26:54.560 --> 0:26:59.359
<v Speaker 10>but we should let the Commerce Department handle handle civilian weapons,

0:26:59.359 --> 0:27:04.200
<v Speaker 10>small arms. But even even at that time, particularly Democrats

0:27:04.200 --> 0:27:07.080
<v Speaker 10>and Congress raised the concern that this with that that

0:27:07.080 --> 0:27:10.320
<v Speaker 10>that moving oversight to the business friendly Commerce Department would

0:27:10.320 --> 0:27:15.359
<v Speaker 10>inevitably lead to far more sales and looser, looser regulations.

0:27:15.359 --> 0:27:19.360
<v Speaker 10>And in fact, that's exactly what happened. So when when

0:27:19.440 --> 0:27:24.119
<v Speaker 10>once the rules took effect in twenty twenty, the they

0:27:25.359 --> 0:27:29.280
<v Speaker 10>those sales of some automatic weapons went up, depending on

0:27:29.320 --> 0:27:32.280
<v Speaker 10>the year, went up as much as sometimes fifty percent

0:27:32.359 --> 0:27:36.880
<v Speaker 10>times and sometimes even double and and members of Congress

0:27:36.880 --> 0:27:39.720
<v Speaker 10>are saying, this is exactly what we expected when you

0:27:39.960 --> 0:27:42.200
<v Speaker 10>shifted oversight to the to the Commerce department.

0:27:42.440 --> 0:27:44.360
<v Speaker 4>And so the the you know.

0:27:44.280 --> 0:27:46.760
<v Speaker 10>The Commerce department again, it's its role is to help,

0:27:46.920 --> 0:27:49.639
<v Speaker 10>you know, help Boeing sell more planes, help you know,

0:27:49.720 --> 0:27:53.320
<v Speaker 10>Micron sell more chips. But when you when you apply

0:27:53.440 --> 0:27:58.120
<v Speaker 10>that to you to gun manufacturers, it obviously has deadly consequences.

0:27:58.119 --> 0:27:58.760
<v Speaker 4>And we document that.

0:27:58.880 --> 0:28:01.320
<v Speaker 3>Yeah, It's interesting. It actually makes me think of what

0:28:01.400 --> 0:28:03.560
<v Speaker 3>happened with cigarettes as well here in the US. Right

0:28:03.600 --> 0:28:06.600
<v Speaker 3>when we saw regulations change in the US with cigarettes

0:28:06.600 --> 0:28:09.080
<v Speaker 3>and fewer people here smoke, What did the American tobacco

0:28:09.119 --> 0:28:11.520
<v Speaker 3>companies do. What did the global tobacco companies do. They

0:28:11.560 --> 0:28:13.960
<v Speaker 3>went around the world, They went to developing countries, they

0:28:14.000 --> 0:28:17.760
<v Speaker 3>went to emerging economies. Flinn, how much of a boon

0:28:17.840 --> 0:28:20.440
<v Speaker 3>has this been for American manufacturers of guns?

0:28:20.800 --> 0:28:25.680
<v Speaker 10>So we tracked it from two thousand and five, which

0:28:25.720 --> 0:28:29.360
<v Speaker 10>is a year after the assault weapons ban was ended

0:28:29.359 --> 0:28:32.639
<v Speaker 10>in the United States, and since that time, there's been

0:28:32.680 --> 0:28:37.280
<v Speaker 10>a cumulative three point seven million semi automatic pistols and

0:28:37.359 --> 0:28:40.600
<v Speaker 10>rifles that have been that have been sold by US

0:28:41.080 --> 0:28:41.840
<v Speaker 10>gun manufacturers.

0:28:41.880 --> 0:28:44.600
<v Speaker 3>Okay, I gotta tell you, though I hear that number,

0:28:45.360 --> 0:28:49.040
<v Speaker 3>that's tiny compared to the number of guns that Americans own,

0:28:49.080 --> 0:28:52.280
<v Speaker 3>four hundred million more guns than people in this country.

0:28:52.280 --> 0:28:54.600
<v Speaker 4>That's right. But those are three point seven million going

0:28:54.600 --> 0:28:55.680
<v Speaker 4>to countries.

0:28:56.880 --> 0:29:01.320
<v Speaker 10>In places like Guatemala, for instance, where where the where

0:29:01.800 --> 0:29:05.640
<v Speaker 10>the where the institutions are there? You know, the State

0:29:05.680 --> 0:29:09.440
<v Speaker 10>Department has condemned and Guanamal, for instance, the the public

0:29:09.480 --> 0:29:13.040
<v Speaker 10>corruption and the inability of the government to to track

0:29:13.120 --> 0:29:15.360
<v Speaker 10>these guns when they're when they're coming in. So a

0:29:15.400 --> 0:29:17.680
<v Speaker 10>relative which seems like a small number of weapons to

0:29:17.880 --> 0:29:21.640
<v Speaker 10>Americans has an outsize impact in a country country like

0:29:21.640 --> 0:29:24.360
<v Speaker 10>Guatemala or Thailand or even we're seeing in Canada.

0:29:24.840 --> 0:29:27.120
<v Speaker 2>So what about the German owners? Are they okay with

0:29:27.160 --> 0:29:27.480
<v Speaker 2>all of this?

0:29:28.720 --> 0:29:35.200
<v Speaker 10>So they the new owners that were initially initially reluctant

0:29:35.280 --> 0:29:38.720
<v Speaker 10>to the sort of americanization of the company, they were

0:29:38.840 --> 0:29:41.320
<v Speaker 10>interested in. They you know, again, this is a company

0:29:41.320 --> 0:29:43.960
<v Speaker 10>with a history of hunting rifles and and you know,

0:29:44.080 --> 0:29:46.800
<v Speaker 10>high end you know, high end pistols and so forth.

0:29:47.160 --> 0:29:51.480
<v Speaker 10>They initially, uh were concerned about it. But but they

0:29:51.880 --> 0:29:56.640
<v Speaker 10>once Cohen uh reoriented the company, you know, and moved

0:29:56.640 --> 0:29:59.480
<v Speaker 10>manufacturing to the United States and boosted sales. They have

0:29:59.560 --> 0:30:02.840
<v Speaker 10>not you know, they've approved his plans and have not objected.

0:30:02.880 --> 0:30:04.400
<v Speaker 10>We reached out to them to talk to him about this,

0:30:04.440 --> 0:30:05.320
<v Speaker 10>and they did not respond.

0:30:05.400 --> 0:30:07.240
<v Speaker 2>Yeah, there's a point in the story, and I want

0:30:07.240 --> 0:30:08.960
<v Speaker 2>you to talk to me a little bit about Ron Cohen.

0:30:09.000 --> 0:30:12.640
<v Speaker 2>But basically it talks about him hiring X Special Forces

0:30:12.640 --> 0:30:15.800
<v Speaker 2>soldiers and others who understood military culture. He told employees

0:30:15.840 --> 0:30:17.560
<v Speaker 2>he was giving the company a new mission armed the

0:30:17.560 --> 0:30:21.040
<v Speaker 2>good guys. This is a guy who I guess employees

0:30:21.080 --> 0:30:26.280
<v Speaker 2>called the Commander. It's an interesting as you guys you know,

0:30:26.360 --> 0:30:29.400
<v Speaker 2>reported on this specific company. It sounds like there were

0:30:29.640 --> 0:30:32.600
<v Speaker 2>some things going on that weren't so.

0:30:32.680 --> 0:30:37.920
<v Speaker 4>Okay, that's right. That so the first big, big, yes,

0:30:37.960 --> 0:30:38.280
<v Speaker 4>I hear it.

0:30:38.600 --> 0:30:43.320
<v Speaker 10>The first the first big international deal that.

0:30:42.400 --> 0:30:43.520
<v Speaker 4>They that Six Hour inc.

0:30:43.640 --> 0:30:48.920
<v Speaker 10>Made was in two thousand and nine with the Columbia

0:30:49.000 --> 0:30:55.160
<v Speaker 10>National Police and they committed to they committed to selling

0:30:55.880 --> 0:31:01.959
<v Speaker 10>tens of thousands of pistols UH to Columbia. The problem

0:31:02.080 --> 0:31:08.720
<v Speaker 10>was that the American the American arm the Six Hour Incorporated,

0:31:08.920 --> 0:31:12.200
<v Speaker 10>didn't have the capacity to make that many, to.

0:31:13.880 --> 0:31:15.120
<v Speaker 4>Manufacture that many pistols.

0:31:15.560 --> 0:31:19.320
<v Speaker 10>So what they did was they they built built them

0:31:19.480 --> 0:31:22.840
<v Speaker 10>in in Germany and attested to the fact that they

0:31:22.880 --> 0:31:24.760
<v Speaker 10>would be sold into the United States. But once they

0:31:24.760 --> 0:31:27.160
<v Speaker 10>got to the United States, and this is in court

0:31:27.200 --> 0:31:32.520
<v Speaker 10>documents and we found they re labeled them and sent

0:31:32.520 --> 0:31:34.720
<v Speaker 10>them to Columbia. This was news to their colleagues in

0:31:34.720 --> 0:31:37.200
<v Speaker 10>Germany who knew they couldn't be selling weapons to Columbia

0:31:37.240 --> 0:31:41.400
<v Speaker 10>because German law prohibited guns going to conflict zone, which

0:31:41.680 --> 0:31:46.240
<v Speaker 10>that time Columbia was so this became the German authorities

0:31:46.440 --> 0:31:51.920
<v Speaker 10>investigated and in the end the U, SIG and Cohen

0:31:52.640 --> 0:31:56.320
<v Speaker 10>h reached a settlement which they in which they acknowledged

0:31:56.320 --> 0:32:00.880
<v Speaker 10>wrongdoing and Cohen himself was given a suspended eighteen prison

0:32:00.920 --> 0:32:05.720
<v Speaker 10>sentence and SIG paid the highest export fine in German history,

0:32:05.720 --> 0:32:08.920
<v Speaker 10>something like twelve million euros. So that that's not the

0:32:08.960 --> 0:32:11.920
<v Speaker 10>only that's not the only case that they've There have

0:32:11.960 --> 0:32:14.600
<v Speaker 10>been other investigations by SIG as well, so that but

0:32:14.640 --> 0:32:16.640
<v Speaker 10>it has not it clearly has not hurt their sales,

0:32:16.680 --> 0:32:18.400
<v Speaker 10>and frankly, it has not hurt their dealings with the

0:32:18.480 --> 0:32:21.840
<v Speaker 10>US government where they have now they have in the

0:32:21.840 --> 0:32:25.000
<v Speaker 10>wake of those investigations, they have still been awarded the

0:32:25.520 --> 0:32:30.040
<v Speaker 10>two major Pentagon contracts, one one for UH to supply

0:32:30.560 --> 0:32:33.160
<v Speaker 10>MS side arms to the whole to the entire US military,

0:32:33.440 --> 0:32:36.560
<v Speaker 10>and also to provide the what essentially replaced the M

0:32:36.600 --> 0:32:37.640
<v Speaker 10>sixteen as a.

0:32:39.680 --> 0:32:39.960
<v Speaker 4>Flynn.

0:32:39.960 --> 0:32:41.760
<v Speaker 3>We only have about a minute left, a little less,

0:32:42.040 --> 0:32:44.640
<v Speaker 3>but what's the next thread of the story here? What's

0:32:44.640 --> 0:32:46.680
<v Speaker 3>been the response that that you've gotten to the big

0:32:46.720 --> 0:32:49.480
<v Speaker 3>take after it was published late yesterday, And what's the

0:32:49.480 --> 0:32:50.480
<v Speaker 3>next part of the story here?

0:32:50.680 --> 0:32:52.880
<v Speaker 4>So we're looking to see what happens in Congress.

0:32:52.880 --> 0:32:58.000
<v Speaker 10>There there, Elizabeth Warren, Norma Torre's there are various Democrats

0:32:58.000 --> 0:33:00.920
<v Speaker 10>in Congress who have raised concerns about this in the past,

0:33:00.960 --> 0:33:04.440
<v Speaker 10>and we're very curious to see if our revelations do

0:33:04.520 --> 0:33:05.040
<v Speaker 10>anything to.

0:33:06.800 --> 0:33:09.560
<v Speaker 4>Push reform in Washington.

0:33:09.640 --> 0:33:11.360
<v Speaker 2>All right, well, we certainly will be watching, and I

0:33:11.440 --> 0:33:14.600
<v Speaker 2>know you guys will be monitoring and updating us on it. Flynn,

0:33:14.600 --> 0:33:17.000
<v Speaker 2>thank you so much. We really wanted to share this

0:33:17.040 --> 0:33:21.000
<v Speaker 2>story with our viewers and listeners, so appreciate you joining us.

0:33:21.000 --> 0:33:24.160
<v Speaker 2>Flynn McRoberts, Managing editor of the Bloomberg News Investigations team

0:33:24.200 --> 0:33:25.440
<v Speaker 2>from our Chicago bureau.

0:33:32.200 --> 0:33:35.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:33:35.800 --> 0:33:39.920
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:33:40.000 --> 0:33:43.280
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:33:43.400 --> 0:33:46.520
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0:33:46.960 --> 0:33:49.720
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:33:51.440 --> 0:33:54.160
<v Speaker 2>The remarks in the current issue of Bloomberg BusinessWeek center

0:33:54.200 --> 0:33:56.880
<v Speaker 2>on the head of the US Securities and Exchange Commission,

0:33:57.120 --> 0:34:00.320
<v Speaker 2>Gary Gensler. We know he has been front and center

0:34:00.320 --> 0:34:02.760
<v Speaker 2>in the push to weed out fraud in the crypto space,

0:34:02.840 --> 0:34:06.160
<v Speaker 2>So what about the potential for financial wrongdoing when it

0:34:06.200 --> 0:34:07.920
<v Speaker 2>comes to artificial intelligence?

0:34:08.239 --> 0:34:11.080
<v Speaker 3>But don't worry, Gensler has a framework for dealing with

0:34:11.080 --> 0:34:14.120
<v Speaker 3>AI too. Bloomberg News Deputy team leader for US Equities

0:34:14.160 --> 0:34:16.560
<v Speaker 3>Jess Metten and I sat down with our securities enforcement

0:34:16.600 --> 0:34:19.720
<v Speaker 3>reporter Austin Weinstein and business we get under Joel Weber

0:34:19.920 --> 0:34:20.560
<v Speaker 3>to learn more.

0:34:20.800 --> 0:34:24.000
<v Speaker 6>If there's a financial regulation issue that's been a major

0:34:24.040 --> 0:34:26.520
<v Speaker 6>thing in the US for the last thirty years, there's

0:34:26.560 --> 0:34:29.960
<v Speaker 6>a really high chance. Gary Gensler has a deep and

0:34:30.120 --> 0:34:32.719
<v Speaker 6>rich history with it. One of the most crazy footnotes

0:34:32.760 --> 0:34:34.600
<v Speaker 6>to his career is that he was one of the

0:34:34.600 --> 0:34:37.520
<v Speaker 6>main drafters of the Sarbanes Oxley Law in two thousand

0:34:37.520 --> 0:34:40.719
<v Speaker 6>and one, and that barely comes up in his biography.

0:34:41.120 --> 0:34:44.120
<v Speaker 6>But yes, with AI, we sat down with him and

0:34:44.200 --> 0:34:46.799
<v Speaker 6>learned that his history goes back good amount of time,

0:34:46.880 --> 0:34:51.120
<v Speaker 6>back to when he left the CFTC in twenty fourteen,

0:34:51.640 --> 0:34:54.280
<v Speaker 6>and there was a new administration that came in shortly

0:34:54.320 --> 0:34:56.480
<v Speaker 6>after and he needed to find a job, and he

0:34:56.560 --> 0:35:00.160
<v Speaker 6>went to MIT to teach. They're pretty early on on.

0:35:00.360 --> 0:35:03.240
<v Speaker 6>He zeroed in on two subjects that he really cared about.

0:35:03.280 --> 0:35:06.879
<v Speaker 6>One was crypto, which he's talked a lot about and

0:35:06.920 --> 0:35:09.520
<v Speaker 6>we've all talked a lot about, and the other was

0:35:09.600 --> 0:35:13.600
<v Speaker 6>artificial intelligence. He sat down with Alexander Madri, one of

0:35:13.680 --> 0:35:18.640
<v Speaker 6>the really most respected minds in machine learning, and just

0:35:18.680 --> 0:35:22.600
<v Speaker 6>asked him how do I learn this? And Madra gave

0:35:22.640 --> 0:35:26.440
<v Speaker 6>him an eight hundred page book called deep Learning. I

0:35:26.560 --> 0:35:30.840
<v Speaker 6>tried to read it. I can't and Gerry Gensler apparently

0:35:30.880 --> 0:35:32.360
<v Speaker 6>can and returned months.

0:35:32.200 --> 0:35:34.759
<v Speaker 3>How much of that book did he read, Austin, I

0:35:34.800 --> 0:35:37.680
<v Speaker 3>was wondering the same thing, or how much did he

0:35:37.760 --> 0:35:38.439
<v Speaker 3>say he read?

0:35:39.360 --> 0:35:39.720
<v Speaker 4>Well?

0:35:39.960 --> 0:35:44.319
<v Speaker 6>So he said he read what he could understand. Then

0:35:44.360 --> 0:35:47.520
<v Speaker 6>he also mentioned that he can code and Fortran and

0:35:47.920 --> 0:35:52.120
<v Speaker 6>can do some of the differential equations. Gerty Gensler probably

0:35:52.239 --> 0:35:58.160
<v Speaker 6>can just knowing its record, but there's probably some stuff

0:35:58.160 --> 0:36:00.680
<v Speaker 6>there that you know, everyone what's came out?

0:36:00.760 --> 0:36:02.200
<v Speaker 3>Can you can you code and Fortrane?

0:36:02.280 --> 0:36:05.359
<v Speaker 11>I would be lost upon entry.

0:36:05.480 --> 0:36:06.680
<v Speaker 6>I had to look up what that was?

0:36:09.200 --> 0:36:11.880
<v Speaker 3>Tim Tim two. That's why yeah, I did too. Actually,

0:36:12.120 --> 0:36:14.200
<v Speaker 3>I'm like four Tran four chan. I don't know what's

0:36:14.239 --> 0:36:15.080
<v Speaker 3>going on here.

0:36:15.640 --> 0:36:19.120
<v Speaker 12>Not the four chance right, So so awesome? Stick with

0:36:19.360 --> 0:36:22.000
<v Speaker 12>stick with this because what we've seen this year is

0:36:22.360 --> 0:36:27.040
<v Speaker 12>obviously captivated everyone with what open AI is accomplished and

0:36:27.200 --> 0:36:29.719
<v Speaker 12>sort of what chat GPT could be capable of.

0:36:30.239 --> 0:36:33.320
<v Speaker 11>If you're a regulator, that seems maybe like your nightmare.

0:36:33.440 --> 0:36:34.840
<v Speaker 11>So how is he preparing?

0:36:35.200 --> 0:36:37.640
<v Speaker 6>Well, there's a few ways to prepare if you're a regulator,

0:36:38.719 --> 0:36:42.360
<v Speaker 6>And in fact, two thou start twenty twenty, Derek Giinlill

0:36:42.400 --> 0:36:44.480
<v Speaker 6>wrote a book on how wrote a paper on how

0:36:44.560 --> 0:36:48.440
<v Speaker 6>regulators should prepare to deal with AI's implication on a

0:36:48.480 --> 0:36:53.560
<v Speaker 6>financial system. And for Garrick Denzler, how regulators should prepare

0:36:53.960 --> 0:36:58.879
<v Speaker 6>essentially goes into what powers and what structures do regulators

0:36:59.000 --> 0:37:02.239
<v Speaker 6>have to deal with AI now? And what don't they have?

0:37:02.520 --> 0:37:05.440
<v Speaker 6>And what risks do I have that they'll pose that

0:37:05.520 --> 0:37:09.680
<v Speaker 6>hit that intersection point where their powers fall short And

0:37:09.719 --> 0:37:12.919
<v Speaker 6>a few of those things fall into the concerns like liability.

0:37:12.920 --> 0:37:16.279
<v Speaker 6>And so we had a really intering discussion about, say,

0:37:16.440 --> 0:37:20.000
<v Speaker 6>when you're designing a bot to beat someone in chess,

0:37:20.600 --> 0:37:24.279
<v Speaker 6>are you designing that bot to beat someone or you

0:37:24.440 --> 0:37:28.720
<v Speaker 6>programming them to know the exact pathways that'll make them

0:37:29.320 --> 0:37:32.799
<v Speaker 6>the most percentage more chance of winning each time? And

0:37:32.960 --> 0:37:36.319
<v Speaker 6>is that intention and the question of intention matters a

0:37:36.360 --> 0:37:39.560
<v Speaker 6>lot for a securities regulator because that's the basis of

0:37:39.920 --> 0:37:43.040
<v Speaker 6>most frauds, and most of the crimes that the sec

0:37:43.200 --> 0:37:49.440
<v Speaker 6>charges are frauds. And so there's really interesting questions of explainability.

0:37:49.760 --> 0:37:53.320
<v Speaker 6>If you can't answer why an algorithm made a certain

0:37:53.360 --> 0:37:57.000
<v Speaker 6>decision or created a certain image or published a certain thing,

0:37:57.600 --> 0:37:59.719
<v Speaker 6>can you say that it acted with intent? And so

0:37:59.800 --> 0:38:04.239
<v Speaker 6>Guinser's been thinking a lot about this problem of explainability,

0:38:04.560 --> 0:38:08.120
<v Speaker 6>and he published one of the first rules in the

0:38:08.120 --> 0:38:11.600
<v Speaker 6>broad federal bureocracy on this last month when he said

0:38:11.640 --> 0:38:15.080
<v Speaker 6>that most asset managers and brokers will have to do

0:38:15.160 --> 0:38:18.839
<v Speaker 6>an assessment when they use AI as to will this

0:38:19.120 --> 0:38:22.120
<v Speaker 6>lead to any conflicts of interest for the firm? So

0:38:22.239 --> 0:38:25.880
<v Speaker 6>agnostic of what this tool does, will you look at

0:38:25.920 --> 0:38:28.799
<v Speaker 6>that tool and when you look at that tool, does

0:38:28.800 --> 0:38:31.000
<v Speaker 6>it benefit you at the expense of the client or

0:38:31.040 --> 0:38:33.480
<v Speaker 6>does it benefit the client and perhaps the firm as well.

0:38:34.040 --> 0:38:37.760
<v Speaker 6>So it's really thorny, really philosophical questions.

0:38:38.880 --> 0:38:43.040
<v Speaker 13>Hand here, you also talk about how he argues that

0:38:43.080 --> 0:38:48.279
<v Speaker 13>a lot of this so called decentralized finance isn't really decentralized.

0:38:48.640 --> 0:38:49.600
<v Speaker 13>What's your take on that?

0:38:51.719 --> 0:38:56.440
<v Speaker 6>So it's the sort of theme that Gary Gensler's carried

0:38:56.480 --> 0:39:00.560
<v Speaker 6>with it in both crypto and artificial intelligence, that a

0:39:00.600 --> 0:39:05.680
<v Speaker 6>lot of the words and technologies here obfuscate responsibility, obscate

0:39:05.719 --> 0:39:07.000
<v Speaker 6>what's truly happening.

0:39:07.480 --> 0:39:07.680
<v Speaker 14>You know.

0:39:07.760 --> 0:39:12.280
<v Speaker 6>Cryptocurrency has the root crypto, you know, which is a

0:39:12.320 --> 0:39:15.759
<v Speaker 6>way to hide, to disguise, But at the end of

0:39:15.800 --> 0:39:19.480
<v Speaker 6>the day, most every crypto transaction is traceable from one

0:39:19.480 --> 0:39:22.880
<v Speaker 6>wallet to one wallet without much difficulty. It took some

0:39:22.880 --> 0:39:23.560
<v Speaker 6>time to learn it.

0:39:23.880 --> 0:39:27.360
<v Speaker 15>And then you go into decentralized finance. He brought up

0:39:27.400 --> 0:39:33.440
<v Speaker 15>the question of okay, is a decentralized finance platform decentralized

0:39:33.800 --> 0:39:36.160
<v Speaker 15>in the way it pays its lawyers because at the

0:39:36.239 --> 0:39:40.319
<v Speaker 15>end of the day, some client, some service provider is

0:39:40.320 --> 0:39:43.680
<v Speaker 15>providing that to the system, and so there's an entity

0:39:43.800 --> 0:39:46.319
<v Speaker 15>making a one to one transaction there. And take that

0:39:46.400 --> 0:39:50.520
<v Speaker 15>into artificial intelligence as well. Is it artificial if it's

0:39:50.560 --> 0:39:54.000
<v Speaker 15>programmed to do a specific thing and uses machine learning

0:39:54.040 --> 0:39:56.920
<v Speaker 15>and other tools to get to that specific thing, So

0:39:56.960 --> 0:39:59.920
<v Speaker 15>that these those words and these technologies can only obfuscate

0:40:00.560 --> 0:40:02.879
<v Speaker 15>what's what's really happening here in the eyes of someone

0:40:02.920 --> 0:40:03.680
<v Speaker 15>like your Agaenzel.

0:40:04.080 --> 0:40:07.399
<v Speaker 11>So that seems like a you know, rain Cloud sort

0:40:07.400 --> 0:40:10.040
<v Speaker 11>of take on AI when there's been so much enthusiasm

0:40:10.320 --> 0:40:12.880
<v Speaker 11>in the markets at least for it. So what does

0:40:12.920 --> 0:40:15.160
<v Speaker 11>he think's going to happen, Like, you know, like is

0:40:15.160 --> 0:40:17.719
<v Speaker 11>it is this going to end badly? And you know,

0:40:17.760 --> 0:40:20.480
<v Speaker 11>you look at Crypto and sort of his response to it,

0:40:20.520 --> 0:40:22.960
<v Speaker 11>and it feels like, you know, he's finally bringing down

0:40:22.960 --> 0:40:24.800
<v Speaker 11>a hammer, like what about what about AI?

0:40:25.080 --> 0:40:28.520
<v Speaker 6>With Genzler, that's sort of a twofold thing. He is

0:40:28.840 --> 0:40:32.000
<v Speaker 6>proposing rules now to make sure that you can set

0:40:32.040 --> 0:40:35.400
<v Speaker 6>some guidelines for AI. But he did say in our

0:40:35.480 --> 0:40:38.080
<v Speaker 6>interview it'll be the crisis of twenty thirty two or

0:40:38.160 --> 0:40:41.640
<v Speaker 6>twenty twenty eight or whatever, and the after action report

0:40:41.640 --> 0:40:45.160
<v Speaker 6>will really be about an issue involving machine learning and AI,

0:40:45.840 --> 0:40:46.879
<v Speaker 6>simply because that.

0:40:46.840 --> 0:40:49.080
<v Speaker 11>Makes me think that that report, it makes me think

0:40:49.120 --> 0:40:51.359
<v Speaker 11>that report may not be written by AI.

0:40:51.680 --> 0:40:53.719
<v Speaker 6>At the end of the day, when writing is after

0:40:53.800 --> 0:40:57.440
<v Speaker 6>action reports after a crisis. He brought up the idea

0:40:58.160 --> 0:41:02.080
<v Speaker 6>of model dependency, which is the idea and I'm going

0:41:02.120 --> 0:41:05.080
<v Speaker 6>to explain this terribly. I do not have a PhD

0:41:05.280 --> 0:41:09.759
<v Speaker 6>in computer science, but that at the end of the day,

0:41:09.880 --> 0:41:13.960
<v Speaker 6>all these financial firms will use at about two to

0:41:14.080 --> 0:41:19.239
<v Speaker 6>three base or foundation models, the underlying logic systems that

0:41:19.320 --> 0:41:23.799
<v Speaker 6>make machine learning and AI work. And these models might

0:41:23.960 --> 0:41:27.160
<v Speaker 6>disguise how they all get to the same result, and

0:41:27.200 --> 0:41:30.000
<v Speaker 6>it may determine that they were all training on one

0:41:30.040 --> 0:41:33.399
<v Speaker 6>small piece of data about the mortgage market, or about

0:41:33.480 --> 0:41:38.319
<v Speaker 6>leverage loans, or about treasuries, and without communicating it, they

0:41:38.360 --> 0:41:40.920
<v Speaker 6>had a whole bunch of risk based in these models,

0:41:41.480 --> 0:41:45.120
<v Speaker 6>and that risk blew up when say that one statistic

0:41:45.320 --> 0:41:49.200
<v Speaker 6>was programmed by someone who wasn't putting in the data

0:41:49.280 --> 0:41:51.919
<v Speaker 6>right so or had some malign intent, and that can

0:41:52.080 --> 0:41:56.000
<v Speaker 6>blow up the economy with these huge systems trained on AI.

0:41:56.560 --> 0:42:00.640
<v Speaker 3>So it raises the question, Austin, about what Kensler thinks

0:42:00.680 --> 0:42:03.799
<v Speaker 3>the solution is in terms of guardrails, in terms of regulations.

0:42:03.800 --> 0:42:05.120
<v Speaker 3>I mean, how does he prevent a melt down in

0:42:05.120 --> 0:42:06.960
<v Speaker 3>twenty twenty eight or twenty thirty two that's brought on

0:42:07.040 --> 0:42:07.439
<v Speaker 3>by AI.

0:42:08.040 --> 0:42:11.239
<v Speaker 6>The great question and one that he's definitely trying to

0:42:11.280 --> 0:42:14.600
<v Speaker 6>grapple with and understand. Now, it is important to say

0:42:14.640 --> 0:42:17.319
<v Speaker 6>a lot of the powers here and the regulation of

0:42:17.360 --> 0:42:20.799
<v Speaker 6>AI are beyond the SEC and he really can only

0:42:20.840 --> 0:42:24.760
<v Speaker 6>oversee the capital markets in space if he regulates things

0:42:24.880 --> 0:42:30.440
<v Speaker 6>like responsibility of use and legal liability of questions for Congress,

0:42:30.480 --> 0:42:34.440
<v Speaker 6>the FTC, the jay Treasury, all these other institutions. But

0:42:35.400 --> 0:42:38.320
<v Speaker 6>he is a member of the Financial Stability Oversight Council,

0:42:38.400 --> 0:42:40.319
<v Speaker 6>and he has asked a lot of his staff to

0:42:40.360 --> 0:42:45.520
<v Speaker 6>start looking at issues of concentration stability in ways that

0:42:45.600 --> 0:42:48.480
<v Speaker 6>he can set the economy and set the financial system

0:42:48.560 --> 0:42:52.560
<v Speaker 6>up to be more resilient in the case of AI catastrophe.

0:42:52.719 --> 0:42:55.880
<v Speaker 3>That was Bloomberg News Securities Enforcement reporter Austin Weinstein and

0:42:55.880 --> 0:42:58.400
<v Speaker 3>BusinessWeek editor Joe Weber with Jess Metton and me.

0:42:58.520 --> 0:43:00.640
<v Speaker 2>All right, you're listening to Bloomberg Business Up next, we've

0:43:00.680 --> 0:43:03.400
<v Speaker 2>got more on AI as we examine the impact this

0:43:03.480 --> 0:43:06.600
<v Speaker 2>technology is likely to have on the American worker, maybe

0:43:06.600 --> 0:43:07.320
<v Speaker 2>global workers.

0:43:07.320 --> 0:43:09.960
<v Speaker 16>To be fair, the bottom line is about thirty percent

0:43:10.040 --> 0:43:13.839
<v Speaker 16>of the activities that US workers do today could be

0:43:13.920 --> 0:43:16.120
<v Speaker 16>automated away by the end of twenty thirty.

0:43:16.160 --> 0:43:17.960
<v Speaker 14>So over the next seven years.

0:43:17.760 --> 0:43:20.520
<v Speaker 2>We break down a new McKinsey study on where displaced

0:43:20.520 --> 0:43:23.920
<v Speaker 2>workers will turn and how AI will reshape the labor landscape.

0:43:24.120 --> 0:43:24.960
<v Speaker 2>This is Bloomberg.

0:43:25.239 --> 0:43:28.799
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:43:28.840 --> 0:43:32.160
<v Speaker 1>Live Weekday afternoons from three to six Eastern Listen on

0:43:32.239 --> 0:43:36.280
<v Speaker 1>Bloomberg dot com, the iHeartRadio app and the Bloomberg Business app,

0:43:36.560 --> 0:43:38.840
<v Speaker 1>or watch us live on YouTube.

0:43:39.600 --> 0:43:40.760
<v Speaker 2>You guys talked about Zoom.

0:43:40.880 --> 0:43:43.480
<v Speaker 3>Yeah, I mean, if you think about perhaps the company

0:43:43.480 --> 0:43:47.200
<v Speaker 3>that most epitomizes working from home, yeah, it's Zoom. I

0:43:47.239 --> 0:43:49.760
<v Speaker 3>mean it was not just a you know, a COVID stock,

0:43:49.960 --> 0:43:51.960
<v Speaker 3>but it was also what we were all learning how

0:43:52.000 --> 0:43:54.239
<v Speaker 3>to use in the early days of the pandemic. Right,

0:43:54.520 --> 0:43:56.960
<v Speaker 3>we talked about it yesterday because even their telling employees

0:43:57.000 --> 0:43:59.480
<v Speaker 3>to get back to the office farrel Yeah, I know, Zoom.

0:43:59.480 --> 0:44:01.600
<v Speaker 3>If you live near Zoom office, you got to come

0:44:01.600 --> 0:44:04.280
<v Speaker 3>in a couple days a week. So we've seen Amazon, Chipotle,

0:44:04.400 --> 0:44:07.560
<v Speaker 3>black Rock companies as varied as those telling hey, workers, workers, Hey,

0:44:07.600 --> 0:44:08.720
<v Speaker 3>you got to come back to the office.

0:44:08.800 --> 0:44:12.160
<v Speaker 2>Yeah, it's interesting, right, we're seeing that post COVID several

0:44:12.239 --> 0:44:14.239
<v Speaker 2>years out and how that is kind of Yep, they're

0:44:14.239 --> 0:44:16.719
<v Speaker 2>coming back to the office. The other thing at play, right,

0:44:16.760 --> 0:44:18.640
<v Speaker 2>we see when it comes to how we are working

0:44:18.719 --> 0:44:22.879
<v Speaker 2>going forward, is just the explosion of what the think

0:44:22.960 --> 0:44:27.879
<v Speaker 2>about AI around artificial intelligence generative AI and what does

0:44:27.920 --> 0:44:29.600
<v Speaker 2>it mean eventually for work.

0:44:29.760 --> 0:44:32.000
<v Speaker 3>Well, Fortunately, McKinzie is out with a new report that

0:44:32.080 --> 0:44:34.279
<v Speaker 3>says twelve million workers are going to move into new

0:44:34.280 --> 0:44:36.279
<v Speaker 3>lines of work by twenty thirty. I guess I'm not

0:44:36.320 --> 0:44:39.560
<v Speaker 3>saying fortunately that's fortunately there's a report. You know, we'll

0:44:39.560 --> 0:44:42.240
<v Speaker 3>see if it's fortunately or unfortunately that AI is forcing

0:44:42.280 --> 0:44:44.600
<v Speaker 3>people to move to new lines of work. Very pleased

0:44:44.640 --> 0:44:48.000
<v Speaker 3>to have with us this afternoon. Qualyon Ellen Grude, partner

0:44:48.040 --> 0:44:51.680
<v Speaker 3>at McKinsey Global Institute, joins us via zoom from Minneapolis,

0:44:51.680 --> 0:44:55.480
<v Speaker 3>a director and senior partner at the McKenzie Global Institute. Quillan,

0:44:55.520 --> 0:44:56.720
<v Speaker 3>how are you great?

0:44:56.760 --> 0:44:58.080
<v Speaker 14>Great to be with you today, Well.

0:44:58.160 --> 0:45:00.960
<v Speaker 3>It's great to have you join us on. So, you know,

0:45:01.600 --> 0:45:03.600
<v Speaker 3>when did you guys start thinking about the impact of

0:45:03.640 --> 0:45:05.360
<v Speaker 3>AI on workers, because I think for a lot of

0:45:05.360 --> 0:45:08.800
<v Speaker 3>people this is relatively new phenomenon with the explosion of

0:45:08.840 --> 0:45:10.080
<v Speaker 3>chat GBT last fall.

0:45:10.400 --> 0:45:13.520
<v Speaker 16>Absolutely, we've been thinking about the future of work now

0:45:13.560 --> 0:45:16.440
<v Speaker 16>for about a decade and modeling what does automation do

0:45:16.680 --> 0:45:22.040
<v Speaker 16>to jobs which are biggest staining jobs losing occupational categories

0:45:22.080 --> 0:45:24.200
<v Speaker 16>and then to your point, just about six months ago

0:45:24.640 --> 0:45:28.360
<v Speaker 16>start a delayer on to automation and COVID nineteen impact

0:45:28.640 --> 0:45:30.840
<v Speaker 16>the impact of Genai. So now we've put all of

0:45:30.840 --> 0:45:33.600
<v Speaker 16>those three things together to say, what do the future

0:45:33.640 --> 0:45:35.320
<v Speaker 16>of jobs look like in the United States?

0:45:35.480 --> 0:45:38.160
<v Speaker 2>All right, so play it out for us. What do

0:45:38.200 --> 0:45:41.160
<v Speaker 2>they look like? I am my robot, absolutely, yeah, I

0:45:41.200 --> 0:45:42.400
<v Speaker 2>am a robots Indeed.

0:45:42.719 --> 0:45:45.080
<v Speaker 16>I think the bottom line is about thirty percent of

0:45:45.080 --> 0:45:49.799
<v Speaker 16>the activities that US workers do today could be automated

0:45:49.880 --> 0:45:51.880
<v Speaker 16>away by the end of twenty thirty, so over the

0:45:51.880 --> 0:45:55.680
<v Speaker 16>next seven years. And that again is through automation COVID

0:45:55.760 --> 0:45:58.719
<v Speaker 16>nineteen impact, mostly affecting interpersonal interactions.

0:45:59.080 --> 0:46:01.520
<v Speaker 14>And then Genai Jenai alone.

0:46:01.520 --> 0:46:05.080
<v Speaker 16>If you just isolate that piece, increase that percentage by

0:46:05.120 --> 0:46:07.680
<v Speaker 16>about nine or s eight or nine percent, So up

0:46:07.760 --> 0:46:11.480
<v Speaker 16>until about thirty percent of overall activities. There are a

0:46:11.520 --> 0:46:15.880
<v Speaker 16>lot of jobs that will be fewer in the future,

0:46:15.880 --> 0:46:18.120
<v Speaker 16>and there will be quite a few more overall. I

0:46:18.120 --> 0:46:22.000
<v Speaker 16>think it's good news to your point earlier. We will

0:46:22.000 --> 0:46:23.680
<v Speaker 16>have more jobs in the future, I think is the

0:46:23.760 --> 0:46:26.480
<v Speaker 16>great news. And those jobs will be higher paying jobs.

0:46:26.760 --> 0:46:29.440
<v Speaker 16>They will be also higher skilled jobs that on average

0:46:29.480 --> 0:46:33.600
<v Speaker 16>require higher average education. The tough news, or the tough

0:46:33.640 --> 0:46:36.920
<v Speaker 16>transition to get there, is we don't necessarily have the

0:46:36.960 --> 0:46:39.600
<v Speaker 16>workforce today that is best suited for those jobs of

0:46:39.640 --> 0:46:42.000
<v Speaker 16>the future. So first, where are we gaining Where are

0:46:42.000 --> 0:46:46.320
<v Speaker 16>we losing? We are gaining jobs in healthcare, in STEM categories,

0:46:46.360 --> 0:46:50.080
<v Speaker 16>and in transportation delivery, all of those other areas we

0:46:50.160 --> 0:46:54.200
<v Speaker 16>are losing jobs in primarily four big occupations, and those

0:46:54.239 --> 0:46:57.439
<v Speaker 16>four occupations make up about eighty percent of the job

0:46:57.520 --> 0:47:01.520
<v Speaker 16>losses between now and twenty thirty. Is customer service, okay,

0:47:02.520 --> 0:47:07.640
<v Speaker 16>food service and sales production or manufacturing and office services

0:47:07.760 --> 0:47:10.680
<v Speaker 16>or assistants. And you've all seen kind of food chiosks

0:47:10.719 --> 0:47:13.040
<v Speaker 16>that fast food restaurants, right, We've seen all of these

0:47:13.040 --> 0:47:13.720
<v Speaker 16>different elements.

0:47:13.760 --> 0:47:15.239
<v Speaker 14>But when you add them together.

0:47:15.239 --> 0:47:18.600
<v Speaker 16>Those four occupations make up eighty percent of the occupational switches,

0:47:18.800 --> 0:47:21.360
<v Speaker 16>which is about twelve million of them between now and

0:47:21.440 --> 0:47:22.040
<v Speaker 16>twenty thirty.

0:47:22.680 --> 0:47:25.239
<v Speaker 2>So before we get into that, it's a lot. But

0:47:25.280 --> 0:47:27.160
<v Speaker 2>I've also seen it. I've done it, right. I'm at

0:47:27.160 --> 0:47:31.440
<v Speaker 2>an airport, I order on an iPad and then stuff

0:47:31.480 --> 0:47:34.359
<v Speaker 2>just gets delivered. I've gone to a retailer here.

0:47:34.600 --> 0:47:37.880
<v Speaker 3>Sorry, but you and I've done this before, and sometimes

0:47:37.880 --> 0:47:41.919
<v Speaker 3>it works. It's sometimes it's also just terrible, not all

0:47:41.960 --> 0:47:44.400
<v Speaker 3>the time. Maybe I'm just thinking of Newark Airport. I

0:47:44.400 --> 0:47:45.360
<v Speaker 3>don't know, no offense.

0:47:45.480 --> 0:47:47.359
<v Speaker 2>Oh come on, I know, pick on the New Jersey.

0:47:47.480 --> 0:47:49.520
<v Speaker 3>We've had some fun times there we have.

0:47:49.920 --> 0:47:50.920
<v Speaker 2>But kind of works.

0:47:51.600 --> 0:47:52.400
<v Speaker 4>God, I don't know.

0:47:52.480 --> 0:47:53.479
<v Speaker 2>It doesn't always work.

0:47:53.600 --> 0:47:55.120
<v Speaker 3>It's like, no, it doesn't always work.

0:47:55.280 --> 0:47:58.520
<v Speaker 2>But I'm amazed at that. I think how many times

0:47:58.560 --> 0:48:00.960
<v Speaker 2>I check out at a super market, I just and

0:48:01.000 --> 0:48:05.440
<v Speaker 2>I go there a target, a retailer. You good, Azara,

0:48:05.560 --> 0:48:06.640
<v Speaker 2>you drop it in a bin.

0:48:07.000 --> 0:48:07.719
<v Speaker 3>That's amazing.

0:48:07.880 --> 0:48:10.680
<v Speaker 2>It shows up. That blows my mind. It shows up

0:48:10.680 --> 0:48:11.560
<v Speaker 2>on like h and.

0:48:11.680 --> 0:48:13.720
<v Speaker 3>M Uniclode does that too. It's amazing.

0:48:13.840 --> 0:48:17.200
<v Speaker 2>Yeah, and you check out and you take off the

0:48:17.239 --> 0:48:20.359
<v Speaker 2>safety you know, uh whatever they what do they call

0:48:20.400 --> 0:48:22.800
<v Speaker 2>them that? You know what I mean? Yeah, the anti

0:48:22.800 --> 0:48:25.000
<v Speaker 2>theft things, the anti theft things, like I do it

0:48:25.040 --> 0:48:28.680
<v Speaker 2>all and like somebody's watching you. But it's like whoa,

0:48:28.880 --> 0:48:30.040
<v Speaker 2>So I don't know.

0:48:31.480 --> 0:48:33.600
<v Speaker 3>Is the experience better though? That's the thing, Like, you know,

0:48:33.600 --> 0:48:35.399
<v Speaker 3>if speaking of airports, we've done this, you know, we've

0:48:35.440 --> 0:48:38.000
<v Speaker 3>gone airports together where there's nobody to actually check us in, right,

0:48:38.040 --> 0:48:39.600
<v Speaker 3>and we're like, you know, we know it's because of

0:48:39.640 --> 0:48:40.360
<v Speaker 3>cost cuts.

0:48:40.200 --> 0:48:42.280
<v Speaker 2>And we're flying business. Thank you, Blueberk.

0:48:43.160 --> 0:48:46.080
<v Speaker 3>We do everything, but what's the balance here Quaylon that

0:48:46.360 --> 0:48:49.000
<v Speaker 3>of actually having like an experience, it's better because who cares.

0:48:49.040 --> 0:48:50.839
<v Speaker 3>If not, who cares. But it's like it's one thing

0:48:50.880 --> 0:48:53.480
<v Speaker 3>to replace people, it's another thing to replace them with,

0:48:53.600 --> 0:48:55.640
<v Speaker 3>you know, an inferior product.

0:48:55.680 --> 0:48:57.760
<v Speaker 2>And I thought all the companies are about customer service

0:48:57.800 --> 0:48:58.960
<v Speaker 2>customers first.

0:48:59.040 --> 0:49:02.200
<v Speaker 16>Not apparently, and there is absolutely a balance, and there's

0:49:02.200 --> 0:49:04.800
<v Speaker 16>also a bit of a transition pain point to get there.

0:49:05.080 --> 0:49:07.760
<v Speaker 16>But I think the alternative is not always great customer

0:49:07.800 --> 0:49:10.799
<v Speaker 16>service in person. It could be they're understaff, they don't

0:49:10.800 --> 0:49:14.040
<v Speaker 16>actually have the people, and so the alternative is do

0:49:14.080 --> 0:49:16.040
<v Speaker 16>you want to wait for ten to fifteen minutes to

0:49:16.040 --> 0:49:18.200
<v Speaker 16>flag somebody down to get your order, or do you

0:49:18.239 --> 0:49:20.239
<v Speaker 16>want to enter it into the iPad? Or do you

0:49:20.280 --> 0:49:22.920
<v Speaker 16>want to pay two dollars more for that sandwich or not?

0:49:23.120 --> 0:49:25.040
<v Speaker 16>And so I think those are the trade offs that

0:49:25.360 --> 0:49:26.160
<v Speaker 16>we're really wrestling.

0:49:26.239 --> 0:49:28.319
<v Speaker 2>Well, when does the cost come to us? Because I've

0:49:28.360 --> 0:49:30.840
<v Speaker 2>go to the supermarket and man, I'm doing all the work,

0:49:31.080 --> 0:49:33.000
<v Speaker 2>and or I go to the airport and they're like

0:49:33.040 --> 0:49:35.319
<v Speaker 2>you want an extra bag? Yeah, you know, So when

0:49:35.360 --> 0:49:37.200
<v Speaker 2>does that cost come back to the customer?

0:49:37.440 --> 0:49:39.359
<v Speaker 16>I think we've already started to see it right on

0:49:39.440 --> 0:49:43.040
<v Speaker 16>so many different products. Some of that has been passed along,

0:49:43.480 --> 0:49:45.680
<v Speaker 16>some of the costs have been kind of captured and

0:49:45.719 --> 0:49:49.200
<v Speaker 16>improved better efficiency and effectiveness, part which has not then

0:49:49.560 --> 0:49:52.640
<v Speaker 16>been passed on in higher prices, even though supply chains

0:49:52.680 --> 0:49:56.480
<v Speaker 16>have been challenged and prices across many categories have gone up,

0:49:56.520 --> 0:50:00.600
<v Speaker 16>most notably in service and gas areas. I think some

0:50:00.680 --> 0:50:02.839
<v Speaker 16>of that will flow through over the next few years.

0:50:02.880 --> 0:50:04.920
<v Speaker 16>We'll see where it all settles out. But I do

0:50:05.000 --> 0:50:08.520
<v Speaker 16>think there are automation improvements that are being made, and

0:50:08.560 --> 0:50:11.520
<v Speaker 16>then consumers do stand to benefit from some of that.

0:50:11.680 --> 0:50:13.920
<v Speaker 2>Hey, really quickly thirty seconds, because we've got a story

0:50:13.960 --> 0:50:17.280
<v Speaker 2>coming up about the lack of workers in the healthcare area.

0:50:17.320 --> 0:50:20.480
<v Speaker 2>You said we are seeing gains in health healthcare thirty

0:50:20.520 --> 0:50:22.680
<v Speaker 2>seconds what specifically.

0:50:22.360 --> 0:50:26.600
<v Speaker 16>Yeah, frankly across the board, given consumers bending aging in

0:50:26.640 --> 0:50:29.720
<v Speaker 16>the United States and frankly in many developed countries around

0:50:29.719 --> 0:50:35.240
<v Speaker 16>the world, so nursing tech in healthcare as well. Overall,

0:50:35.280 --> 0:50:37.160
<v Speaker 16>I think we'll need quite a few more jobs in

0:50:37.200 --> 0:50:38.000
<v Speaker 16>those areas well.

0:50:38.000 --> 0:50:39.640
<v Speaker 2>That certainly fits into the story that we're going to

0:50:39.640 --> 0:50:42.840
<v Speaker 2>talk about. Quailan, thank you so much. Quailn and Ellen Gruge.

0:50:42.840 --> 0:50:45.480
<v Speaker 2>She is director and senior partner at mckensey Global Institute

0:50:45.480 --> 0:50:48.520
<v Speaker 2>on zoom from Minneapolis. Their latest report, Generative AI in

0:50:48.560 --> 0:50:50.480
<v Speaker 2>the Future of Work in America. It wasn't so bad

0:50:50.520 --> 0:50:50.920
<v Speaker 2>in Nework.

0:50:51.040 --> 0:50:53.160
<v Speaker 3>Please please enter your symptoms on this iPad.

0:50:53.840 --> 0:50:56.400
<v Speaker 2>Exactly what do I complain to? That's the thing that

0:50:56.400 --> 0:50:58.680
<v Speaker 2>bothers me. There's no one ever to complain.

0:50:58.880 --> 0:51:00.799
<v Speaker 3>Please to meet Carol, all right, I will.

0:51:07.200 --> 0:51:10.799
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:51:10.840 --> 0:51:14.840
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:51:15.040 --> 0:51:18.320
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:51:18.400 --> 0:51:21.520
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0:51:21.960 --> 0:51:24.760
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0:51:26.560 --> 0:51:28.439
<v Speaker 2>Play ahead in our second hour of the weekend edition

0:51:28.480 --> 0:51:31.759
<v Speaker 2>of Bloomberg Business Week, including the continuing saga and struggles

0:51:31.800 --> 0:51:35.440
<v Speaker 2>of a once adored startup, Why there is now serious

0:51:35.480 --> 0:51:39.680
<v Speaker 2>concern coworking office space giant we Work could go out

0:51:39.719 --> 0:51:40.920
<v Speaker 2>of business altogether.

0:51:41.320 --> 0:51:44.320
<v Speaker 3>Plus female founders are still having a hard time obtaining

0:51:44.360 --> 0:51:47.400
<v Speaker 3>critical funding for their startups. We'll talk to someone who's

0:51:47.400 --> 0:51:49.880
<v Speaker 3>hell bent on changing the narrative and whether she thinks

0:51:49.920 --> 0:51:53.320
<v Speaker 3>Facebook would have gotten funding if it was Maria Zuckerberg

0:51:53.320 --> 0:51:55.080
<v Speaker 3>behind the company and not Mark.

0:51:55.040 --> 0:51:57.640
<v Speaker 2>First up this hour, Investors continue to take a bite

0:51:57.680 --> 0:52:00.560
<v Speaker 2>out of Beyond Meat. After reporting earnings of past week,

0:52:00.560 --> 0:52:03.000
<v Speaker 2>the company cuted sales guidance and backed off its cash

0:52:03.000 --> 0:52:06.919
<v Speaker 2>flow target. On Tuesday. Following that news, it shares took

0:52:06.920 --> 0:52:09.920
<v Speaker 2>their biggest one day plunge since November twenty twenty on

0:52:09.960 --> 0:52:12.799
<v Speaker 2>an inter day basis. Quite simply, tim it is not

0:52:12.960 --> 0:52:14.400
<v Speaker 2>easy being beyond meat.

0:52:14.560 --> 0:52:16.520
<v Speaker 3>It's not easy being beyond meat here in the US,

0:52:16.560 --> 0:52:18.920
<v Speaker 3>but it's also pretty difficult being beyond meat when you're

0:52:18.960 --> 0:52:21.680
<v Speaker 3>trying to expand into China. We've got a great story

0:52:21.719 --> 0:52:24.000
<v Speaker 3>in the current issue of Bloomberg BusinessWeek. It's all about

0:52:24.040 --> 0:52:27.000
<v Speaker 3>Beyond Meat's challenges in China, by Dina Shanker, Bloomberg News

0:52:27.000 --> 0:52:29.719
<v Speaker 3>Consumer Reporter. It's again again in the current issue oft

0:52:29.719 --> 0:52:32.160
<v Speaker 3>Bloomberg Business Week. Read it now on newsstands, online at

0:52:32.160 --> 0:52:35.120
<v Speaker 3>Bloomberg dot com, slash BusinessWeek, and of course on the

0:52:35.120 --> 0:52:39.040
<v Speaker 3>Bloomberg terminal. Dina in our Bloomberg Interactive Brokers studio right now,

0:52:39.400 --> 0:52:43.560
<v Speaker 3>So Dina, you'll back a few years. Starbucks huge in China,

0:52:44.120 --> 0:52:46.640
<v Speaker 3>made available Beyond Meat and all of its stores more

0:52:46.640 --> 0:52:49.200
<v Speaker 3>than three thousand. You had Beyond Meat doing this big

0:52:49.200 --> 0:52:52.520
<v Speaker 3>marketing campaign on the huge mobile platforms that are there,

0:52:52.920 --> 0:52:57.480
<v Speaker 3>we Chat and Cibo. We excuse me, the other one,

0:52:57.560 --> 0:52:58.360
<v Speaker 3>the social one.

0:52:58.520 --> 0:53:01.799
<v Speaker 2>Do you have a Beyond Meat burger Mouth? What's going on?

0:53:02.360 --> 0:53:04.200
<v Speaker 3>Fast forward a few years, it's nowhere to be found.

0:53:04.239 --> 0:53:04.799
<v Speaker 3>What's going on?

0:53:05.280 --> 0:53:05.520
<v Speaker 12>Yeah?

0:53:05.560 --> 0:53:09.080
<v Speaker 17>You know, after their IPO in twenty nineteen, which was

0:53:09.160 --> 0:53:12.120
<v Speaker 17>just huge and everyone was really excited, Ethan Brown came

0:53:12.200 --> 0:53:14.640
<v Speaker 17>in and did an editorial board and when we asked

0:53:14.680 --> 0:53:16.360
<v Speaker 17>him about China, he said they were going to be

0:53:16.360 --> 0:53:19.200
<v Speaker 17>as aggressive as they could, and they were. They went

0:53:19.239 --> 0:53:21.879
<v Speaker 17>in and they, like you said, they went into Starbucks.

0:53:22.160 --> 0:53:25.000
<v Speaker 17>Three menu items, thirty three hundred locations, they got on

0:53:25.120 --> 0:53:29.400
<v Speaker 17>JD dot com. All kinds of partnerships in China, but

0:53:29.719 --> 0:53:34.120
<v Speaker 17>now going to find one is not so easy, and

0:53:35.040 --> 0:53:38.160
<v Speaker 17>Starbucks doesn't have them online at the menus on menus

0:53:38.200 --> 0:53:41.479
<v Speaker 17>anymore JD dot com they show up, but you can't

0:53:41.600 --> 0:53:41.920
<v Speaker 17>order them.

0:53:41.960 --> 0:53:42.880
<v Speaker 18>They're not available.

0:53:43.920 --> 0:53:46.520
<v Speaker 17>There's just a whole long list of examples of partnerships

0:53:46.520 --> 0:53:49.880
<v Speaker 17>that have sort of disintegrated over there. And you know,

0:53:50.440 --> 0:53:52.560
<v Speaker 17>there are a lot of reasons why. But I think

0:53:52.600 --> 0:53:55.080
<v Speaker 17>when you strip all of the noise out. It really

0:53:55.120 --> 0:53:57.239
<v Speaker 17>just comes down to the fact that, just like in

0:53:57.320 --> 0:54:00.720
<v Speaker 17>the US, in China people tried them and then said,

0:54:01.520 --> 0:54:02.399
<v Speaker 17>I don't really like it.

0:54:02.400 --> 0:54:05.000
<v Speaker 18>It doesn't taste so good. And that's that.

0:54:05.520 --> 0:54:05.719
<v Speaker 13>You know.

0:54:05.800 --> 0:54:08.440
<v Speaker 2>What's interesting too, is I mean you and I and

0:54:08.480 --> 0:54:11.640
<v Speaker 2>Tim were talking, you know, a little bit earlier. It

0:54:11.760 --> 0:54:14.919
<v Speaker 2>just feels like these companies are trying to find strategies,

0:54:14.920 --> 0:54:16.840
<v Speaker 2>and I get it. Going after China, I feel like

0:54:17.239 --> 0:54:20.600
<v Speaker 2>every company that's out there still, even with the tensions,

0:54:20.719 --> 0:54:23.680
<v Speaker 2>think about the potential in the Chinese market. What did

0:54:23.680 --> 0:54:25.680
<v Speaker 2>they get wrong? Or is it just a case that

0:54:25.800 --> 0:54:29.920
<v Speaker 2>China's difficult or is it something about these plant based

0:54:30.800 --> 0:54:31.640
<v Speaker 2>food companies?

0:54:31.960 --> 0:54:34.200
<v Speaker 18>Well, I think it's a whole lot of things.

0:54:34.239 --> 0:54:38.799
<v Speaker 17>The first is that beef is really big here in

0:54:38.840 --> 0:54:42.440
<v Speaker 17>the US and the beyond. Burger was this big blockbuster

0:54:43.360 --> 0:54:47.200
<v Speaker 17>new product, but in China, people really don't eat beef

0:54:47.239 --> 0:54:49.960
<v Speaker 17>the way they eat, for example, pork or chicken. Even

0:54:50.080 --> 0:54:54.480
<v Speaker 17>so starting with a burger was just sort of, you know,

0:54:54.600 --> 0:54:57.640
<v Speaker 17>tone deaf. I think starting with pork would have made

0:54:57.680 --> 0:54:58.560
<v Speaker 17>a lot more sense.

0:54:58.640 --> 0:55:01.520
<v Speaker 2>Why didn't they? Has The company addressed that.

0:55:01.920 --> 0:55:05.040
<v Speaker 17>They declined to comment for our story, So I could

0:55:05.080 --> 0:55:07.359
<v Speaker 17>not tell you. They do have pork product, and they

0:55:07.360 --> 0:55:09.160
<v Speaker 17>eventually launched pork products there.

0:55:09.680 --> 0:55:11.719
<v Speaker 18>They eventually launched dumplings and other things.

0:55:11.760 --> 0:55:14.600
<v Speaker 17>But what it came down to for a lot of

0:55:14.640 --> 0:55:17.600
<v Speaker 17>people was the same thing as here is that it's expensive,

0:55:17.640 --> 0:55:21.600
<v Speaker 17>it doesn't taste that good, it's not particularly healthy, and there,

0:55:21.840 --> 0:55:24.560
<v Speaker 17>of course, they also had the pandemic lockdowns that really

0:55:24.719 --> 0:55:28.640
<v Speaker 17>hurt their opportunities in food service. And of course in

0:55:28.760 --> 0:55:33.000
<v Speaker 17>China they have plenty of plant based meal options that

0:55:33.040 --> 0:55:35.400
<v Speaker 17>fit right in that are just an ancient part of

0:55:35.440 --> 0:55:37.399
<v Speaker 17>their cuisine. So if they don't want to eat meat

0:55:37.440 --> 0:55:39.560
<v Speaker 17>for a meal, they can eat tofu instead.

0:55:39.640 --> 0:55:41.720
<v Speaker 2>Feel like, beyond me, we've been here, We've been here,

0:55:42.680 --> 0:55:43.200
<v Speaker 2>I got this.

0:55:43.400 --> 0:55:46.440
<v Speaker 18>That's exactly right. They had Really it really just didn't

0:55:46.640 --> 0:55:47.120
<v Speaker 18>fit in.

0:55:48.040 --> 0:55:50.000
<v Speaker 3>So does any of the do any of the other

0:55:50.000 --> 0:55:54.480
<v Speaker 3>products stand a chance? If beef didn't work, and if

0:55:54.480 --> 0:55:57.080
<v Speaker 3>they have developed other products, could those work?

0:55:58.280 --> 0:56:01.600
<v Speaker 18>I mean they haven't worked. Poor has it worked the pork.

0:56:03.120 --> 0:56:07.920
<v Speaker 17>They're not on the websites we looked at, and they've

0:56:08.000 --> 0:56:11.720
<v Speaker 17>tried some different products there, but it's just really difficult

0:56:11.760 --> 0:56:13.960
<v Speaker 17>to find a beyond meat product in China right now?

0:56:14.040 --> 0:56:18.520
<v Speaker 3>Why China, Like, why would they choose for international expansion China?

0:56:18.520 --> 0:56:18.799
<v Speaker 4>I mean the.

0:56:21.280 --> 0:56:24.040
<v Speaker 3>Like success in the road to success in China, for

0:56:24.040 --> 0:56:26.680
<v Speaker 3>if you're a US company, Like there are a lot

0:56:26.719 --> 0:56:28.600
<v Speaker 3>of very successful ones, but there are many more that

0:56:28.600 --> 0:56:29.400
<v Speaker 3>have tried and failed.

0:56:30.000 --> 0:56:30.280
<v Speaker 1>Well.

0:56:30.320 --> 0:56:32.279
<v Speaker 17>I think the first is the first piece of it

0:56:32.320 --> 0:56:34.040
<v Speaker 17>is just the sheer number of people, so you have

0:56:34.120 --> 0:56:37.200
<v Speaker 17>so many consumers. They also do consume a lot of

0:56:37.239 --> 0:56:39.479
<v Speaker 17>meat in China, so it seems like a good place

0:56:39.520 --> 0:56:42.440
<v Speaker 17>to try to sell your meat replacement. But that's kind

0:56:42.440 --> 0:56:44.840
<v Speaker 17>of part of the problem in China, just like it

0:56:45.040 --> 0:56:47.160
<v Speaker 17>Just like in a lot of other places, meat is

0:56:47.160 --> 0:56:49.800
<v Speaker 17>a status symbol, and as you rise into the middle class,

0:56:49.840 --> 0:56:52.239
<v Speaker 17>you want to eat more meat because that means you're

0:56:52.400 --> 0:56:56.960
<v Speaker 17>more successful. And so trying to convince someone who maybe

0:56:57.760 --> 0:57:01.120
<v Speaker 17>just sort of broke into the meat bracket, Hey, actually.

0:57:00.920 --> 0:57:01.560
<v Speaker 2>I have something.

0:57:01.600 --> 0:57:07.080
<v Speaker 17>It's more expensive, it doesn't taste as good, and you're

0:57:07.120 --> 0:57:10.040
<v Speaker 17>not really into burgers, but try it.

0:57:10.520 --> 0:57:13.279
<v Speaker 2>No, it's not a good What do.

0:57:13.239 --> 0:57:14.359
<v Speaker 3>We know about its health too?

0:57:14.440 --> 0:57:14.600
<v Speaker 6>Right?

0:57:15.160 --> 0:57:15.640
<v Speaker 18>Right?

0:57:16.640 --> 0:57:19.800
<v Speaker 17>Health wise, it's an ultra processed food, which is the

0:57:19.800 --> 0:57:22.960
<v Speaker 17>exact kind of food that keep hearing is what we're

0:57:23.000 --> 0:57:27.520
<v Speaker 17>supposed to avoid and that's really tough for Beyond Meat

0:57:27.760 --> 0:57:31.080
<v Speaker 17>or its competitors, like impossible. An ultra processed food means

0:57:31.080 --> 0:57:34.600
<v Speaker 17>it's made from like derivatives of other foods. And that's

0:57:34.600 --> 0:57:37.040
<v Speaker 17>what pea protein is, right, It's not made from peas,

0:57:37.080 --> 0:57:38.280
<v Speaker 17>it's made from pea protein.

0:57:38.440 --> 0:57:40.680
<v Speaker 2>What's interesting too, And I like this story, this line

0:57:40.680 --> 0:57:42.960
<v Speaker 2>in your story. The stumbles by international brands have not

0:57:43.040 --> 0:57:45.480
<v Speaker 2>deterred local companies from trying to find a lane for

0:57:45.560 --> 0:57:49.240
<v Speaker 2>plant based businesses. So there are some Chinese companies trying

0:57:49.280 --> 0:57:51.520
<v Speaker 2>to still tap this market. Correct.

0:57:51.640 --> 0:57:56.760
<v Speaker 17>Yes, and actually Decos is a restaurant chain in China

0:57:56.920 --> 0:57:59.840
<v Speaker 17>that started with Beyond Meat and now is actually doing

0:57:59.840 --> 0:58:03.720
<v Speaker 17>a big campaign with a Chinese plant based meat company

0:58:03.800 --> 0:58:07.120
<v Speaker 17>called Starfield. So you know, it's hard to say what's

0:58:07.160 --> 0:58:09.400
<v Speaker 17>going to happen, but you have to imagine that a

0:58:09.520 --> 0:58:12.040
<v Speaker 17>Chinese plant based meat company is going to cater better

0:58:12.120 --> 0:58:13.160
<v Speaker 17>to Chinese consumers.

0:58:13.240 --> 0:58:15.920
<v Speaker 2>I feel like Business because did some great coverage. I

0:58:15.920 --> 0:58:18.200
<v Speaker 2>don't feel like it. They have does some great coverage

0:58:18.200 --> 0:58:22.520
<v Speaker 2>of this plant based protein food world. And it is

0:58:22.600 --> 0:58:25.120
<v Speaker 2>interesting that it's now what ten years in counting, like

0:58:25.160 --> 0:58:27.240
<v Speaker 2>how long these companies have been around. And I feel

0:58:27.240 --> 0:58:28.640
<v Speaker 2>like they're still trying to find their late.

0:58:29.480 --> 0:58:30.640
<v Speaker 18>It's very true.

0:58:30.680 --> 0:58:33.160
<v Speaker 17>I mean, Beyond was founded in two thousand and nine

0:58:33.320 --> 0:58:36.080
<v Speaker 17>and went public in twenty nineteen and.

0:58:36.080 --> 0:58:36.840
<v Speaker 2>A lot of fanfare.

0:58:37.080 --> 0:58:40.520
<v Speaker 17>Yeah really, and it was a hugely successful IPO. And

0:58:40.560 --> 0:58:44.040
<v Speaker 17>I think a lot of people really had huge expectations

0:58:44.120 --> 0:58:47.400
<v Speaker 17>for this kind of product, and I think they suffered

0:58:47.400 --> 0:58:51.520
<v Speaker 17>from a mix of their own bad choices, bad execution,

0:58:51.800 --> 0:58:55.760
<v Speaker 17>and also just you know, the public awareness around our

0:58:55.840 --> 0:58:59.720
<v Speaker 17>diet and nutrition has really evolved so much. We all

0:58:59.760 --> 0:59:01.680
<v Speaker 17>know or not we all, but a lot of people,

0:59:01.720 --> 0:59:03.840
<v Speaker 17>a lot more people know to look at the nutrition facts.

0:59:03.840 --> 0:59:05.440
<v Speaker 2>We all turn the boxes, right, that's right.

0:59:05.480 --> 0:59:08.400
<v Speaker 17>And we didn't used to do that, and we you know,

0:59:08.680 --> 0:59:12.800
<v Speaker 17>look for things like recognizable ingredients and for a little

0:59:12.800 --> 0:59:14.960
<v Speaker 17>while we thought, hey, well it's it's got to be

0:59:14.960 --> 0:59:18.800
<v Speaker 17>better than meat, but then those it's not necessarily the

0:59:18.840 --> 0:59:21.400
<v Speaker 17>case any A lot of people raise questions about that,

0:59:21.640 --> 0:59:23.640
<v Speaker 17>so it's it's a tough sell right now.

0:59:23.680 --> 0:59:28.120
<v Speaker 3>There's also the environmental question. And you know, it's funny,

0:59:28.160 --> 0:59:30.760
<v Speaker 3>like I we went through as a family like a

0:59:30.800 --> 0:59:33.680
<v Speaker 3>whole Okay, we're going to eat the Beyond and impossible stuff.

0:59:33.680 --> 0:59:35.360
<v Speaker 3>And I think it was like summer of twenty twenty

0:59:35.440 --> 0:59:37.400
<v Speaker 3>during the pandemic, when everybody else did it too, and

0:59:37.440 --> 0:59:39.000
<v Speaker 3>I was like, oh, this is so much better than meat,

0:59:39.040 --> 0:59:40.919
<v Speaker 3>and then we got totally sick of it and don't

0:59:40.920 --> 0:59:44.560
<v Speaker 3>eat it anymore. But the one kind of saving grace

0:59:44.680 --> 0:59:47.280
<v Speaker 3>is that environmentally is it better than beef, because we know.

0:59:47.240 --> 0:59:50.160
<v Speaker 2>This isn't that the new lane that they're pursuing the environment.

0:59:50.320 --> 0:59:53.840
<v Speaker 17>It is absolutely no question about it better than meat

0:59:53.880 --> 0:59:57.360
<v Speaker 17>for the environment. There's just that's like beef is so

0:59:57.440 --> 1:00:00.320
<v Speaker 17>bad for the environment that anything is better. Can and

1:00:00.400 --> 1:00:03.000
<v Speaker 17>pork are better too, but beyond meat is better than

1:00:03.040 --> 1:00:04.080
<v Speaker 17>all of those, no question.

1:00:04.480 --> 1:00:07.960
<v Speaker 18>But so are lentils. And I'll just put a shout

1:00:07.960 --> 1:00:10.200
<v Speaker 18>out for caviar lentils, which are really.

1:00:09.960 --> 1:00:11.840
<v Speaker 3>Good and it sounds fancy.

1:00:11.960 --> 1:00:13.920
<v Speaker 17>You would think that they are kind of fancy in

1:00:13.960 --> 1:00:15.760
<v Speaker 17>the lentil world, but they're still a lot cheaper than

1:00:15.920 --> 1:00:16.600
<v Speaker 17>right on meat.

1:00:16.720 --> 1:00:20.640
<v Speaker 3>Putting it on my shopping lists.

1:00:20.280 --> 1:00:21.240
<v Speaker 17>Buy them on Amazon.

1:00:21.480 --> 1:00:22.120
<v Speaker 4>They're right there.

1:00:22.160 --> 1:00:25.240
<v Speaker 17>They're great, and like people are, there's so much more

1:00:25.400 --> 1:00:29.280
<v Speaker 17>in the world of non meat center a plate and

1:00:29.600 --> 1:00:33.720
<v Speaker 17>meal options than just alternative meats, which really, you know,

1:00:33.800 --> 1:00:36.640
<v Speaker 17>it's ten years, isn't or ten plus users. Years is

1:00:36.680 --> 1:00:38.560
<v Speaker 17>in some way a long time for a company to

1:00:38.600 --> 1:00:41.320
<v Speaker 17>find its footing. But in the history of our diets,

1:00:41.400 --> 1:00:44.439
<v Speaker 17>ten years is it's still a pretty new product. And

1:00:44.480 --> 1:00:47.520
<v Speaker 17>we've eaten meatless before them, and we'll eat meatless without them.

1:00:47.560 --> 1:00:48.920
<v Speaker 2>Well, you know, I think about all the reporting you

1:00:48.960 --> 1:00:51.800
<v Speaker 2>guys are doing a business week on the plant based

1:00:51.840 --> 1:00:55.560
<v Speaker 2>protein world, and I do wonder is it a case

1:00:55.680 --> 1:00:58.480
<v Speaker 2>that they just haven't figured it out, because you say,

1:00:58.520 --> 1:01:01.080
<v Speaker 2>ten years is still kind of short, right in terms

1:01:01.080 --> 1:01:03.920
<v Speaker 2>of the food world. It's a company that you note

1:01:03.920 --> 1:01:06.680
<v Speaker 2>in the story hasn't recorded profit since early twenty twenty.

1:01:06.920 --> 1:01:11.360
<v Speaker 2>What do food industry folks say, What does the analyst community,

1:01:11.400 --> 1:01:15.080
<v Speaker 2>investor community say? Well, after there's a time for them

1:01:15.120 --> 1:01:17.000
<v Speaker 2>to pull the cord. Well, one of.

1:01:17.000 --> 1:01:19.920
<v Speaker 17>The questions during earnings this week was maybe they needed

1:01:19.920 --> 1:01:22.320
<v Speaker 17>to recalibrate their expectations and maybe they're more of a

1:01:22.320 --> 1:01:27.720
<v Speaker 17>three hundred million dollar business and Ethan Brown, Yeah, Ethan

1:01:27.720 --> 1:01:31.160
<v Speaker 17>said absolutely not. And he pointed to like what's going

1:01:31.160 --> 1:01:33.720
<v Speaker 17>on on college campuses where young people want to eat

1:01:33.800 --> 1:01:36.320
<v Speaker 17>less meat, And that's true, young people do want to

1:01:36.360 --> 1:01:39.240
<v Speaker 17>eat less meat. But what comes to mind constantly is

1:01:39.280 --> 1:01:42.200
<v Speaker 17>the reference to these products as like a gateway drug

1:01:42.480 --> 1:01:46.280
<v Speaker 17>to eating less meat. A lot of people try them. Okay,

1:01:46.400 --> 1:01:49.840
<v Speaker 17>well not my favorite or maybe I like it. Now

1:01:49.840 --> 1:01:53.520
<v Speaker 17>I'm open to more meatless options, and that's that's actually

1:01:53.600 --> 1:01:57.280
<v Speaker 17>great for the planet, but for beyond me, that's not

1:01:57.480 --> 1:01:57.880
<v Speaker 17>so good.

1:01:58.240 --> 1:02:01.960
<v Speaker 3>Just for some context to that common Dina. So, back

1:02:01.960 --> 1:02:04.560
<v Speaker 3>in twenty nineteen, the market cap was more than fourteen

1:02:04.600 --> 1:02:07.760
<v Speaker 3>billion dollars and now it's under a billion dollars. So

1:02:08.120 --> 1:02:10.360
<v Speaker 3>that's a big move, that is it. That's a huge move.

1:02:10.600 --> 1:02:11.840
<v Speaker 18>Yeah, I want to go back.

1:02:11.680 --> 1:02:13.880
<v Speaker 3>To your story that's in the current issue of Bloomberg

1:02:13.880 --> 1:02:17.120
<v Speaker 3>BusinessWeek talking about the success or rather failure of Beyond

1:02:17.160 --> 1:02:20.080
<v Speaker 3>Meat in China. Are there any examples of sort of

1:02:20.120 --> 1:02:23.360
<v Speaker 3>these new wave of foods, like you know, I don't

1:02:23.360 --> 1:02:27.120
<v Speaker 3>know plant based milks or plant based eggs that actually

1:02:27.120 --> 1:02:28.960
<v Speaker 3>have found success in China that you found.

1:02:29.480 --> 1:02:32.880
<v Speaker 17>So actually, Oatly has done relatively well in China. They're

1:02:32.920 --> 1:02:38.640
<v Speaker 17>in a lot of a lot of restaurant partnerships, coffee shops,

1:02:38.640 --> 1:02:39.120
<v Speaker 17>et cetera.

1:02:39.920 --> 1:02:41.000
<v Speaker 18>They have a pretty wide reach.

1:02:41.080 --> 1:02:43.960
<v Speaker 17>But even Oatly has said that the sales have just

1:02:44.080 --> 1:02:48.600
<v Speaker 17>not recovered as quickly post pandemic as they expected.

1:02:49.480 --> 1:02:51.760
<v Speaker 18>Eat just the plant based egg maker.

1:02:51.880 --> 1:02:54.800
<v Speaker 17>They were doing pretty well on a small scale in

1:02:54.880 --> 1:02:57.920
<v Speaker 17>China pre pandemic, but they're no longer sold there because

1:02:58.040 --> 1:03:00.480
<v Speaker 17>of what they say are basically issues with custom and

1:03:00.720 --> 1:03:03.040
<v Speaker 17>trying to just get their product into the country without

1:03:03.080 --> 1:03:05.360
<v Speaker 17>it spoiling so and impossible.

1:03:05.920 --> 1:03:08.200
<v Speaker 18>Of course, really wanted to go to China and.

1:03:08.280 --> 1:03:11.840
<v Speaker 17>Hasn't entered yet because they have a genetically modified ingredient

1:03:11.880 --> 1:03:13.360
<v Speaker 17>that hasn't gotten approval.

1:03:13.440 --> 1:03:13.919
<v Speaker 3>Is that heme?

1:03:14.120 --> 1:03:14.760
<v Speaker 4>Is that what it is?

1:03:14.760 --> 1:03:18.560
<v Speaker 17>That's the soiling hemoglobin oh okay, which is known as HEME.

1:03:18.840 --> 1:03:20.760
<v Speaker 3>Yeah, so it's okay to be sold in the US,

1:03:20.760 --> 1:03:21.960
<v Speaker 3>but has not been approved for China.

1:03:22.080 --> 1:03:25.000
<v Speaker 17>Yes, And it also hasn't been approved in the EU,

1:03:25.320 --> 1:03:28.160
<v Speaker 17>So yeah, they can't sell there.

1:03:28.480 --> 1:03:31.200
<v Speaker 2>Does it make sense for them to come back and

1:03:31.200 --> 1:03:32.960
<v Speaker 2>focus on the US market and see if they can

1:03:33.000 --> 1:03:33.640
<v Speaker 2>figure it out?

1:03:34.200 --> 1:03:38.400
<v Speaker 17>They've been trying to reduce their expenses and how much

1:03:38.440 --> 1:03:42.040
<v Speaker 17>they're spending, and so I think that's a really good question.

1:03:42.240 --> 1:03:42.919
<v Speaker 18>Why are you.

1:03:42.920 --> 1:03:46.720
<v Speaker 17>Still spending so much money in China where you're just

1:03:46.840 --> 1:03:50.479
<v Speaker 17>not gaining traction. Why don't you bring those resources home?

1:03:50.760 --> 1:03:54.800
<v Speaker 17>And I wish they had commented for the story because

1:03:55.640 --> 1:03:57.000
<v Speaker 17>I think that they should address.

1:03:56.720 --> 1:03:57.560
<v Speaker 3>That they know how to reach you.

1:03:57.600 --> 1:04:00.320
<v Speaker 18>I bet they did me took they do.

1:04:00.560 --> 1:04:03.000
<v Speaker 2>Just to wrap up, how do you think about like

1:04:03.040 --> 1:04:05.240
<v Speaker 2>what you know? Because you guys have done so much

1:04:05.240 --> 1:04:08.560
<v Speaker 2>reporting it with cover like on this whole world, Like

1:04:08.680 --> 1:04:10.680
<v Speaker 2>what's the next thing that's kind of on your radar?

1:04:10.880 --> 1:04:11.760
<v Speaker 2>How you think about it?

1:04:12.080 --> 1:04:15.560
<v Speaker 17>Well, I think we're seeing consolidation in this industry right now,

1:04:15.800 --> 1:04:18.400
<v Speaker 17>and one of the questions is whether all of this

1:04:18.480 --> 1:04:22.840
<v Speaker 17>consolidation will eventually mean better product on the shelf for consumers.

1:04:23.120 --> 1:04:24.280
<v Speaker 18>And what I wonder.

1:04:24.440 --> 1:04:27.160
<v Speaker 17>I am actually pretty confident that this industry is going

1:04:27.200 --> 1:04:29.640
<v Speaker 17>to make better products. I just wonder if by the

1:04:29.680 --> 1:04:32.520
<v Speaker 17>time those products hit shelves whether anybody's even going to

1:04:32.600 --> 1:04:36.040
<v Speaker 17>be interested in buying them that they like. I wonder

1:04:36.080 --> 1:04:38.680
<v Speaker 17>if they had their big shot and they're ever going

1:04:38.680 --> 1:04:40.000
<v Speaker 17>to I wonder if they're going to get it again.

1:04:40.120 --> 1:04:42.720
<v Speaker 2>All right, Really cool stuff and so relevant because we

1:04:42.760 --> 1:04:44.680
<v Speaker 2>all keep talking about it and trying to figure out

1:04:44.680 --> 1:04:46.840
<v Speaker 2>like kind of what is the way forward? If you

1:04:46.880 --> 1:04:48.640
<v Speaker 2>will for it? Dina, thank you so much.

1:04:48.760 --> 1:04:49.160
<v Speaker 14>Thank you.

1:04:49.400 --> 1:04:52.000
<v Speaker 2>The story in the current issue double issue of Bloomberg Business.

1:04:52.000 --> 1:04:55.040
<v Speaker 2>Withekdina Shanker. She's a Bloomberg News consumer reporter joining us

1:04:55.360 --> 1:04:55.880
<v Speaker 2>in studio.

1:04:55.920 --> 1:04:58.040
<v Speaker 3>Yeah, I love her. Anything. Do you cover anything outside

1:04:58.040 --> 1:05:00.640
<v Speaker 3>of because every time we talk to you, it's always

1:05:00.800 --> 1:05:02.760
<v Speaker 3>it's always beyond me. It's impossible.

1:05:02.920 --> 1:05:05.600
<v Speaker 17>I would cover all the package food companies, but it's

1:05:05.680 --> 1:05:08.360
<v Speaker 17>just these companies just keep every I'm always I got

1:05:08.360 --> 1:05:09.360
<v Speaker 17>to get out of this beak.

1:05:09.440 --> 1:05:10.320
<v Speaker 2>No, don't get out of it.

1:05:10.360 --> 1:05:11.720
<v Speaker 14>Oh I want to try.

1:05:11.760 --> 1:05:13.480
<v Speaker 2>Oh this is too much. Else do you read it?

1:05:13.680 --> 1:05:15.280
<v Speaker 18>But I can't do I eat it. I don't.

1:05:15.320 --> 1:05:15.840
<v Speaker 2>Okay, Okay.

1:05:16.680 --> 1:05:18.600
<v Speaker 17>I actually I hate when I go to a barbecue

1:05:18.600 --> 1:05:19.920
<v Speaker 17>and they know I don't eat me and then so

1:05:19.960 --> 1:05:23.080
<v Speaker 17>they think and they give me like a beyond taking notes.

1:05:23.400 --> 1:05:25.800
<v Speaker 18>All right, thank you, thank you.

1:05:25.800 --> 1:05:29.360
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

1:05:29.400 --> 1:05:32.720
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

1:05:32.800 --> 1:05:36.840
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App,

1:05:37.120 --> 1:05:39.440
<v Speaker 1>or watch us live on YouTube.

1:05:40.320 --> 1:05:43.440
<v Speaker 2>We've been talking about a lot of different companies, Disney, Amazon,

1:05:44.000 --> 1:05:46.240
<v Speaker 2>We got to talk a little bit about Rework because

1:05:46.360 --> 1:05:49.920
<v Speaker 2>man shares of the company falling off a cliff, down

1:05:49.960 --> 1:05:52.440
<v Speaker 2>more than thirty eight percent today's session. It is a

1:05:52.720 --> 1:05:56.120
<v Speaker 2>twelve cent. Wow, a share stock.

1:05:56.440 --> 1:06:01.360
<v Speaker 3>That's called that's a penny stock sheets, I mean, Carol.

1:06:01.400 --> 1:06:03.800
<v Speaker 3>This is a company whose stock has plunged ninety eight

1:06:03.840 --> 1:06:06.600
<v Speaker 3>percent since it went public in October twenty twenty one,

1:06:06.600 --> 1:06:09.720
<v Speaker 3>wiped out nearly nine billion dollars in market value. It's

1:06:09.760 --> 1:06:12.720
<v Speaker 3>because the company's bleeding cash. Customers of its office rentals

1:06:12.760 --> 1:06:15.200
<v Speaker 3>are canceling their memberships and droves and oh yeah, we

1:06:15.240 --> 1:06:17.720
<v Speaker 3>worked seity yesterday that there's quote substantial doubt about its

1:06:17.720 --> 1:06:20.560
<v Speaker 3>ability to continue operating. This is a stunning fall. I

1:06:20.680 --> 1:06:23.080
<v Speaker 3>just think back to, you know, a few years ago.

1:06:23.600 --> 1:06:26.000
<v Speaker 3>This was the company that bought the you know, Lord

1:06:26.080 --> 1:06:29.959
<v Speaker 3>and Taylor building. Right we were talking about this as like, okay,

1:06:29.960 --> 1:06:33.560
<v Speaker 3>there's nothing more emblematic right now than physical retail being

1:06:33.600 --> 1:06:37.800
<v Speaker 3>overtaken by a coworking space. Remember, it was a company

1:06:37.880 --> 1:06:40.360
<v Speaker 3>that was once valued at forty seven billion dollars, making

1:06:40.360 --> 1:06:43.080
<v Speaker 3>it one of the most prize startups in America. Let's

1:06:43.080 --> 1:06:45.040
<v Speaker 3>get into it with Ellen Hewittt. She's a Bloomberg New

1:06:45.080 --> 1:06:48.000
<v Speaker 3>Startup reporter who writes about we work Today and one

1:06:48.000 --> 1:06:50.720
<v Speaker 3>of the most read stories on the Bloomberg terminal. Ellen,

1:06:50.760 --> 1:06:53.200
<v Speaker 3>good to have you with us. You've been all over

1:06:53.400 --> 1:06:56.240
<v Speaker 3>this story. When did things get really bad for WE Work?

1:06:56.280 --> 1:06:58.560
<v Speaker 3>Because when it went public via that spack there was

1:06:58.600 --> 1:07:00.920
<v Speaker 3>hope that hey, it could actually turn itself.

1:07:00.680 --> 1:07:04.600
<v Speaker 8>Around, right, I mean, it's been a tough journey for

1:07:04.680 --> 1:07:07.880
<v Speaker 8>we Work. They had this huge implosion in twenty nineteen

1:07:07.880 --> 1:07:09.960
<v Speaker 8>when Adam Newman tried to take it public that obviously

1:07:10.000 --> 1:07:12.520
<v Speaker 8>didn't work. He resigned. There was a lot of tumult

1:07:12.840 --> 1:07:13.480
<v Speaker 8>and this new.

1:07:13.360 --> 1:07:16.440
<v Speaker 3>CEO we learned about community adjusted ebitda.

1:07:16.800 --> 1:07:20.160
<v Speaker 8>Yes, okay, and all the good stuff from the perspectives

1:07:20.160 --> 1:07:23.200
<v Speaker 8>if you remember the Wee family, the trademark of the

1:07:23.240 --> 1:07:25.480
<v Speaker 8>trademark family of we and all other things like that.

1:07:25.640 --> 1:07:26.440
<v Speaker 3>It's crazy.

1:07:26.600 --> 1:07:28.600
<v Speaker 2>We work, we live, we grow, we spend.

1:07:28.960 --> 1:07:29.320
<v Speaker 7>Yes.

1:07:29.480 --> 1:07:32.120
<v Speaker 2>Yes, it was the cover of Bloomberg Business Week in

1:07:32.160 --> 1:07:34.680
<v Speaker 2>twenty nineteen. Remember anyway, go ahead, Yeah.

1:07:34.480 --> 1:07:37.400
<v Speaker 8>Remember elevating the world's consciousness all that stuff. That was

1:07:37.440 --> 1:07:39.919
<v Speaker 8>a good time, especially as a reporter covering that company

1:07:40.040 --> 1:07:42.560
<v Speaker 8>was so exciting. There was news every day. And then

1:07:42.640 --> 1:07:44.480
<v Speaker 8>in twenty twenty they had a new CEO come in,

1:07:44.520 --> 1:07:46.919
<v Speaker 8>Sandy Pathroni. He came in in February twenty twenty, which

1:07:46.960 --> 1:07:50.040
<v Speaker 8>is a tough time to be taking over as co,

1:07:50.520 --> 1:07:53.800
<v Speaker 8>you know, CEO of a an office startup, so he

1:07:54.400 --> 1:07:59.120
<v Speaker 8>inherited a pretty tough job. And we work offices emptied

1:07:59.120 --> 1:08:01.280
<v Speaker 8>out in the firsts in the first year of the pandemic,

1:08:01.480 --> 1:08:04.040
<v Speaker 8>you know, dropping to below fifty percent occupancy. It took

1:08:04.080 --> 1:08:07.320
<v Speaker 8>them more than two years to return occupancy levels to

1:08:07.760 --> 1:08:09.680
<v Speaker 8>the levels that they had been in late twenty nineteen.

1:08:10.400 --> 1:08:12.840
<v Speaker 8>And the company, you know, it has survived, but it

1:08:12.880 --> 1:08:15.520
<v Speaker 8>has not thrived. You know, it did go public in

1:08:15.600 --> 1:08:18.400
<v Speaker 8>late twenty twenty one via spack, but the share price

1:08:18.479 --> 1:08:20.880
<v Speaker 8>has dropped, you know today is something like ninety eight

1:08:20.920 --> 1:08:25.160
<v Speaker 8>percent since since its original debut, and it just has

1:08:25.240 --> 1:08:27.720
<v Speaker 8>not been able to have the turnaround that they had

1:08:27.760 --> 1:08:28.080
<v Speaker 8>hoped for.

1:08:28.479 --> 1:08:30.479
<v Speaker 2>So, Ellen, is this a case of a company, you know,

1:08:30.600 --> 1:08:32.960
<v Speaker 2>kind of cool idea in the beginning, oh my gosh,

1:08:33.000 --> 1:08:34.960
<v Speaker 2>pandemic kind of screwed it up. Or is it just

1:08:35.000 --> 1:08:38.120
<v Speaker 2>a company that just kind of didn't really make sense?

1:08:39.200 --> 1:08:41.360
<v Speaker 8>I you know, what's so interesting about we were is

1:08:41.400 --> 1:08:43.639
<v Speaker 8>I think compared to some of the other vaporware ish

1:08:44.000 --> 1:08:46.360
<v Speaker 8>startups that you see in Silicon Valley, we were kind

1:08:46.400 --> 1:08:48.479
<v Speaker 8>of product that worked that people wanted, that they were

1:08:48.560 --> 1:08:51.080
<v Speaker 8>willing to pay for. You know, they wanted to have

1:08:51.200 --> 1:08:54.240
<v Speaker 8>office space. To me, it made sense, I think. You know,

1:08:54.360 --> 1:08:57.080
<v Speaker 8>during the Newman era there was all this abuiliance and

1:08:57.560 --> 1:08:59.920
<v Speaker 8>and sort of extravagant spending and all these reasons that

1:09:00.080 --> 1:09:03.400
<v Speaker 8>the company probably grew too quickly and it spooked investors

1:09:03.400 --> 1:09:05.519
<v Speaker 8>and all that stuff. But you know, since then, one

1:09:05.520 --> 1:09:08.960
<v Speaker 8>would think that it should be able to make things right. Obviously,

1:09:08.960 --> 1:09:11.800
<v Speaker 8>the pandemic was quite difficult, as it would be for

1:09:11.880 --> 1:09:15.880
<v Speaker 8>any office startup, but you're not seeing like Regis and

1:09:15.920 --> 1:09:18.320
<v Speaker 8>other competitors, you know, having the same issue that we

1:09:18.360 --> 1:09:20.920
<v Speaker 8>work as right now. So it raises a question of

1:09:20.920 --> 1:09:23.599
<v Speaker 8>whether this is something specific to we work and why

1:09:23.640 --> 1:09:24.360
<v Speaker 8>that might be the case.

1:09:24.400 --> 1:09:25.840
<v Speaker 3>I want to go back to something that you said.

1:09:25.840 --> 1:09:28.840
<v Speaker 3>They were able to return to twenty nineteen vacancy rates

1:09:28.840 --> 1:09:30.479
<v Speaker 3>within two years after the pandemic.

1:09:31.280 --> 1:09:31.599
<v Speaker 9>Yeah.

1:09:31.960 --> 1:09:35.640
<v Speaker 8>Yeah, that was an announcement in came in summer of

1:09:35.640 --> 1:09:37.360
<v Speaker 8>twenty twenty two, and so yeah, I mean they had

1:09:37.360 --> 1:09:39.320
<v Speaker 8>been making slow progress. They did close a lot of

1:09:39.320 --> 1:09:41.960
<v Speaker 8>their office locations. That was a big push in the

1:09:42.000 --> 1:09:44.880
<v Speaker 8>post Newman era, so exit some of the leases.

1:09:44.960 --> 1:09:46.720
<v Speaker 3>Okay, So so let me just make sure I get

1:09:46.720 --> 1:09:49.600
<v Speaker 3>this stat right then, So that was the rate, that

1:09:49.880 --> 1:09:52.920
<v Speaker 3>being the percentage of occupancy, So it wasn't on a

1:09:52.960 --> 1:09:55.679
<v Speaker 3>basis of you know, total number of people who were there,

1:09:55.680 --> 1:09:57.160
<v Speaker 3>because they actually had fewer.

1:09:56.880 --> 1:10:00.000
<v Speaker 8>They reduced their space, right, Yeah, they reduced their spaces.

1:10:00.040 --> 1:10:02.519
<v Speaker 8>So it's something like seventy two percent occupancy. And of

1:10:02.520 --> 1:10:04.439
<v Speaker 8>course they've tweaked a little bit how that metric is

1:10:04.479 --> 1:10:06.439
<v Speaker 8>measured over the years, but you know, they celebrated it

1:10:06.479 --> 1:10:10.040
<v Speaker 8>at the time as a reasonable marker of you know,

1:10:10.120 --> 1:10:12.479
<v Speaker 8>return to power, and I think that was reasonable. It

1:10:12.600 --> 1:10:14.439
<v Speaker 8>just seems like they haven't been able to hold on

1:10:14.479 --> 1:10:17.719
<v Speaker 8>to that. That number actually dropped in this quarter compared

1:10:17.720 --> 1:10:21.880
<v Speaker 8>to the last quarter, and clearly they're projecting that things

1:10:21.920 --> 1:10:24.280
<v Speaker 8>are not going to are probably not going to work

1:10:24.280 --> 1:10:24.680
<v Speaker 8>out for them.

1:10:24.760 --> 1:10:27.080
<v Speaker 2>It is kind of interesting, right in the uberization of

1:10:27.160 --> 1:10:30.120
<v Speaker 2>the world, as we talk about of like sharing cars,

1:10:30.160 --> 1:10:33.080
<v Speaker 2>sharing homes, airbnb, like all this stuff, like we're kind

1:10:33.120 --> 1:10:35.679
<v Speaker 2>of cool about this, We're open to it. It does feel,

1:10:35.800 --> 1:10:38.400
<v Speaker 2>especially in a post pandemic world, as you said earlier,

1:10:38.720 --> 1:10:42.480
<v Speaker 2>that this would be the ideal model, right of companies.

1:10:42.520 --> 1:10:44.920
<v Speaker 2>I've heard it from companies like post pandemic they're like, yeah,

1:10:44.920 --> 1:10:46.720
<v Speaker 2>when we need some space, we just rent it, you

1:10:46.720 --> 1:10:48.559
<v Speaker 2>know what I mean. When we need to bring employees together,

1:10:48.600 --> 1:10:51.080
<v Speaker 2>we just rent it. Now, mind you, we're hearing more

1:10:51.080 --> 1:10:54.240
<v Speaker 2>about people coming back to the office and so on

1:10:54.280 --> 1:10:56.360
<v Speaker 2>and so forth. But I do wonder about kind of

1:10:56.360 --> 1:10:57.600
<v Speaker 2>what's next for them.

1:10:58.360 --> 1:11:00.840
<v Speaker 8>Yeah, I think it's a big question because it did

1:11:00.920 --> 1:11:04.519
<v Speaker 8>seem like they were putting forth a pretty plausible story,

1:11:04.520 --> 1:11:08.240
<v Speaker 8>which was in a time of uncertain working from home

1:11:08.320 --> 1:11:11.719
<v Speaker 8>versus office and the time of hybrid workplace that employers

1:11:11.800 --> 1:11:14.040
<v Speaker 8>might not want to sign ten year leases to have

1:11:14.080 --> 1:11:16.879
<v Speaker 8>their own office space, but when instead turned to flexible

1:11:16.880 --> 1:11:20.200
<v Speaker 8>office providers like we Work or like any of its rivals,

1:11:19.800 --> 1:11:23.920
<v Speaker 8>and one would think that would make sense. You know, clearly,

1:11:23.920 --> 1:11:26.559
<v Speaker 8>if they're making this disclosure, something is not working at

1:11:26.560 --> 1:11:30.320
<v Speaker 8>We Work, and you know, it could just be that

1:11:30.360 --> 1:11:33.559
<v Speaker 8>they haven't been able to stop the bleeding. They've just

1:11:33.640 --> 1:11:35.799
<v Speaker 8>they've continued to lose money and that hasn't changed.

1:11:35.840 --> 1:11:38.720
<v Speaker 2>All, Right, permanent CEO? Could that help something? Could that

1:11:38.840 --> 1:11:39.920
<v Speaker 2>help help out the story?

1:11:40.360 --> 1:11:40.519
<v Speaker 19>Right?

1:11:40.520 --> 1:11:43.840
<v Speaker 8>They've also been looking for a CEO since May when

1:11:43.960 --> 1:11:47.080
<v Speaker 8>Sandy Pathroni, who had come over to you know, sort

1:11:47.080 --> 1:11:50.080
<v Speaker 8>of oversee this turnaround, left somewhat abruptly, you know, suddenly

1:11:50.160 --> 1:11:52.720
<v Speaker 8>enough that they did not have a replacement in mind.

1:11:52.760 --> 1:11:55.920
<v Speaker 8>So they've had an interan CEO. Their CFO then left

1:11:55.960 --> 1:11:58.519
<v Speaker 8>a week after that. They actually had a big board

1:11:58.520 --> 1:12:01.920
<v Speaker 8>member turnover in this on Tuesday, which they announced, you know,

1:12:01.960 --> 1:12:04.679
<v Speaker 8>three board members tacking down and four new ones replacing them.

1:12:05.080 --> 1:12:07.920
<v Speaker 8>There's tumult and I don't know what kind of person

1:12:07.960 --> 1:12:11.080
<v Speaker 8>wants to become CEO of that company, but hopefully someone

1:12:11.120 --> 1:12:13.120
<v Speaker 8>does and we can we can find out who that

1:12:13.200 --> 1:12:13.559
<v Speaker 8>might be.

1:12:13.720 --> 1:12:16.920
<v Speaker 3>So just thirty seconds left, Ellen, What's what's the future

1:12:16.960 --> 1:12:19.679
<v Speaker 3>of the company if it does end up having issues?

1:12:19.760 --> 1:12:21.800
<v Speaker 3>If you know, it could file for bankruptcy. That's what

1:12:21.800 --> 1:12:24.639
<v Speaker 3>that means essentially, if it has trouble as an ongoing concern,

1:12:25.360 --> 1:12:27.920
<v Speaker 3>what ends up happening with people who who who are

1:12:27.920 --> 1:12:29.240
<v Speaker 3>in the offices?

1:12:30.320 --> 1:12:34.240
<v Speaker 8>You know, I imagine that competitors are excited to see that

1:12:34.320 --> 1:12:37.360
<v Speaker 8>maybe they might be able to benefit from this, either

1:12:37.360 --> 1:12:39.759
<v Speaker 8>by trying to luwer customers over to their own space,

1:12:40.000 --> 1:12:42.600
<v Speaker 8>or you know, maybe there's someone who might want to

1:12:42.640 --> 1:12:45.920
<v Speaker 8>come in and take over individual locations. I think that

1:12:45.960 --> 1:12:48.320
<v Speaker 8>remains to be seen, but certainly there are other people

1:12:48.360 --> 1:12:50.479
<v Speaker 8>who are I'm sure waiting to see if there's something

1:12:50.520 --> 1:12:52.760
<v Speaker 8>they can capitalize on if we were to ends up

1:12:52.760 --> 1:12:53.240
<v Speaker 8>going under.

1:12:53.320 --> 1:12:55.840
<v Speaker 2>It's another great business school case study. Like it's really

1:12:55.880 --> 1:12:59.200
<v Speaker 2>just fascinating, Ellen Hewett. We always love talking with you.

1:12:59.320 --> 1:13:01.880
<v Speaker 2>Thank you, Thank you. Start us reporter at Bloomberg News.

1:13:01.920 --> 1:13:04.680
<v Speaker 2>Check her out at Ellen Hewitt on Twitter or x

1:13:04.720 --> 1:13:07.280
<v Speaker 2>whatever you want to call it on zoom from San Francisco.

1:13:07.360 --> 1:13:09.720
<v Speaker 2>I still can't figure it out. I just can't. This

1:13:09.760 --> 1:13:10.320
<v Speaker 2>is Bloomberg.

1:13:16.920 --> 1:13:20.519
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:13:20.560 --> 1:13:24.559
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

1:13:24.760 --> 1:13:28.040
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

1:13:28.160 --> 1:13:31.240
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

1:13:31.680 --> 1:13:34.479
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

1:13:36.080 --> 1:13:37.519
<v Speaker 2>One of the things we talk a lot about here

1:13:37.520 --> 1:13:40.280
<v Speaker 2>at Bloomberg, we've done some great reporting what goes on

1:13:40.320 --> 1:13:43.560
<v Speaker 2>with female founded startups. No secret that they account for

1:13:43.640 --> 1:13:47.080
<v Speaker 2>only a tiny, tiny portion of the venture capital that's

1:13:47.080 --> 1:13:49.519
<v Speaker 2>deployed each year. So here's some numbers for you. In

1:13:49.560 --> 1:13:52.759
<v Speaker 2>twenty twenty one, for instance, female founders secured only two

1:13:52.960 --> 1:13:55.160
<v Speaker 2>percent of venture capital in the US. That's according to

1:13:55.200 --> 1:13:57.760
<v Speaker 2>the research firm pitchbook that follows all this tim and

1:13:57.800 --> 1:13:58.080
<v Speaker 2>that was a.

1:13:58.120 --> 1:14:01.080
<v Speaker 3>Year that VC money really flowed. I mean twenty twenty one,

1:14:01.280 --> 1:14:03.680
<v Speaker 3>those were the boom years. The last eighteen months have

1:14:03.720 --> 1:14:07.000
<v Speaker 3>been a different story entirely. We've got with us right

1:14:07.040 --> 1:14:10.000
<v Speaker 3>now Test name do hud Wala, founding partner of excel

1:14:10.120 --> 1:14:13.960
<v Speaker 3>Star Ventures. The VC firm says it invests in quote

1:14:14.000 --> 1:14:17.800
<v Speaker 3>clear disruptive technology. They've got a lot of medtech on there,

1:14:18.840 --> 1:14:20.960
<v Speaker 3>really cool stuff and really cool companies that they've invested in.

1:14:21.000 --> 1:14:23.839
<v Speaker 3>They're also passionate about funding women and minority led companies.

1:14:23.920 --> 1:14:26.840
<v Speaker 3>Very pleased to have a test name with us this afternoon.

1:14:27.560 --> 1:14:30.120
<v Speaker 3>So test name, give us an idea of what you've

1:14:30.120 --> 1:14:33.040
<v Speaker 3>experienced and what you've experienced working as a VC, and

1:14:33.080 --> 1:14:35.760
<v Speaker 3>also what you've experienced as far as the companies that

1:14:36.120 --> 1:14:39.439
<v Speaker 3>you funded. Is this a is the problem? I kind

1:14:39.439 --> 1:14:40.680
<v Speaker 3>of know the answer here, but I'm still going to

1:14:40.720 --> 1:14:43.719
<v Speaker 3>ask this anyway. Is the problem that only two percent

1:14:43.720 --> 1:14:47.639
<v Speaker 3>of the companies are actually founded by female founders?

1:14:48.840 --> 1:14:49.000
<v Speaker 2>No?

1:14:49.080 --> 1:14:51.679
<v Speaker 20>I mean I think that there it's a systemic problem,

1:14:51.720 --> 1:14:54.200
<v Speaker 20>and I think that the issue is that it's an

1:14:54.240 --> 1:14:57.320
<v Speaker 20>everybody problem. It's not just you know the funds that

1:14:57.320 --> 1:15:01.240
<v Speaker 20>are focused on investing in women. Everybody needs to work

1:15:01.280 --> 1:15:05.040
<v Speaker 20>at this problem. So for example, I know that in

1:15:05.520 --> 1:15:09.719
<v Speaker 20>VC firms, only twelve percent of VC firms have women

1:15:09.880 --> 1:15:12.920
<v Speaker 20>as decision makers, and sixty five percent of the VC

1:15:13.040 --> 1:15:16.120
<v Speaker 20>firms still don't even have a single female partner, and

1:15:16.200 --> 1:15:19.439
<v Speaker 20>females are noted to be more likely to invest in

1:15:19.520 --> 1:15:22.640
<v Speaker 20>female led companies. So I think that itself, we just

1:15:22.680 --> 1:15:27.440
<v Speaker 20>don't have enough women investors in decision making roles investing

1:15:27.479 --> 1:15:30.760
<v Speaker 20>in women. So I that's one of the issues, Testy.

1:15:30.840 --> 1:15:32.080
<v Speaker 2>I want to jump in enough there for a moment,

1:15:32.120 --> 1:15:33.920
<v Speaker 2>because I remember Bloomberg did a story I think it

1:15:33.960 --> 1:15:36.719
<v Speaker 2>was out during the pandemic, and it was even about

1:15:37.880 --> 1:15:43.040
<v Speaker 2>female venture capitalists were less inclined to even invest in

1:15:43.080 --> 1:15:46.320
<v Speaker 2>female founded ventures and whether it was pressure within a

1:15:46.360 --> 1:15:51.000
<v Speaker 2>firm or what have you. It's just like everyone stays away.

1:15:51.600 --> 1:15:54.439
<v Speaker 2>Help me out. So go ahead, continue with your reasons why,

1:15:54.439 --> 1:15:56.120
<v Speaker 2>because it's just mind blowing.

1:15:57.080 --> 1:16:00.320
<v Speaker 20>So it's I think there's a little bit, Well, you know,

1:16:00.400 --> 1:16:04.320
<v Speaker 20>this person is experienced entrepreneur, they've had several exits. Well,

1:16:04.360 --> 1:16:08.120
<v Speaker 20>if you keep investing in just experienced entrepreneurs that have

1:16:08.200 --> 1:16:10.719
<v Speaker 20>had prior exits, and you're probably going to keep investing

1:16:10.720 --> 1:16:14.160
<v Speaker 20>in males because a lot of female led companies are

1:16:14.320 --> 1:16:16.760
<v Speaker 20>first time entrepreneurs, and you have to be willing to

1:16:16.760 --> 1:16:19.800
<v Speaker 20>take a risk on a first time entrepreneur, and it

1:16:19.840 --> 1:16:21.920
<v Speaker 20>may appear more risky. But I also think some of

1:16:21.960 --> 1:16:24.480
<v Speaker 20>it has to do with the way we ask questions.

1:16:24.760 --> 1:16:27.360
<v Speaker 20>There's been a lot of research that says that all

1:16:27.920 --> 1:16:32.320
<v Speaker 20>investors ask women more sort of risk mitigation type questions,

1:16:32.360 --> 1:16:35.840
<v Speaker 20>and we ask men growth mindset questions. And so if

1:16:35.840 --> 1:16:38.200
<v Speaker 20>you're going to change the way you ask questions to

1:16:38.240 --> 1:16:41.720
<v Speaker 20>your entrepreneurs, you're going to have a different outcome in

1:16:41.800 --> 1:16:44.599
<v Speaker 20>the way you perceive the company. So, for example, at

1:16:44.640 --> 1:16:49.640
<v Speaker 20>excel Start, we have a really structured way we do diligence,

1:16:49.800 --> 1:16:54.080
<v Speaker 20>and so we make sure that we're asking same type

1:16:54.120 --> 1:16:56.960
<v Speaker 20>of questions to all of our entrepreneurs. We have a

1:16:57.040 --> 1:16:59.800
<v Speaker 20>quantitative and a qualitative way that we do it. We

1:16:59.800 --> 1:17:03.519
<v Speaker 20>have matrix that we fill out and a really robust report.

1:17:03.600 --> 1:17:05.400
<v Speaker 20>But if you're sort of just flying by the cede

1:17:05.439 --> 1:17:08.680
<v Speaker 20>or cuffs, then your own subconscious biases are going to

1:17:08.720 --> 1:17:13.439
<v Speaker 20>determine what type of questions you're asking, and that changes

1:17:13.479 --> 1:17:16.720
<v Speaker 20>the outcome of how you perceive the company and the

1:17:16.800 --> 1:17:19.360
<v Speaker 20>opportunity that it may be that it may have.

1:17:19.840 --> 1:17:22.240
<v Speaker 3>What do the data show as far as returns and

1:17:22.280 --> 1:17:23.320
<v Speaker 3>who's leading companies?

1:17:24.760 --> 1:17:25.720
<v Speaker 18>So I mean, if you.

1:17:25.720 --> 1:17:29.599
<v Speaker 20>Think about the data right now, I think there's only

1:17:29.640 --> 1:17:32.519
<v Speaker 20>been twenty women who have ever led a company to

1:17:32.560 --> 1:17:34.880
<v Speaker 20>an IPO. And I don't think that's because women don't

1:17:34.920 --> 1:17:37.240
<v Speaker 20>want to lead companies to IPOs. I think that there's

1:17:37.280 --> 1:17:42.520
<v Speaker 20>a bias. One of our companies just recently was determining

1:17:42.560 --> 1:17:45.160
<v Speaker 20>whether they wanted to hire a certain executive and not

1:17:45.439 --> 1:17:50.240
<v Speaker 20>the CEO role, but in a very senior important role,

1:17:50.840 --> 1:17:53.080
<v Speaker 20>and there was some question around whether or not that

1:17:53.120 --> 1:17:56.559
<v Speaker 20>women would be able to potentially in a few years

1:17:56.640 --> 1:18:01.920
<v Speaker 20>be a key management director while leading the company to

1:18:01.960 --> 1:18:04.479
<v Speaker 20>an IPO, and a few not just myself, but another

1:18:04.600 --> 1:18:08.120
<v Speaker 20>male board member spoke up and said, well, she we

1:18:08.200 --> 1:18:11.000
<v Speaker 20>haven't even hired her. Let's get her in the door,

1:18:11.080 --> 1:18:13.519
<v Speaker 20>let's see how she does, and we'll make a decision

1:18:13.520 --> 1:18:16.240
<v Speaker 20>when the time comes whether or not she'll be suited

1:18:16.280 --> 1:18:19.640
<v Speaker 20>to be in the role during an IPO. So there

1:18:19.640 --> 1:18:22.000
<v Speaker 20>are some assumptions that are made before women can even

1:18:22.000 --> 1:18:25.400
<v Speaker 20>get into the door and make an impact in the company.

1:18:26.040 --> 1:18:31.719
<v Speaker 2>So Devil's advocate a little bit, because I do believe,

1:18:32.640 --> 1:18:36.840
<v Speaker 2>especially in a capitalistic society, that money talks. And if

1:18:37.160 --> 1:18:40.200
<v Speaker 2>there's a good business, I don't care if a monkey

1:18:40.320 --> 1:18:42.439
<v Speaker 2>or a frog is running it, like people are going

1:18:42.479 --> 1:18:45.920
<v Speaker 2>to invest in it. Is there something else that's missing

1:18:45.960 --> 1:18:49.120
<v Speaker 2>that just I mean, look at the creator of spanks.

1:18:49.240 --> 1:18:52.080
<v Speaker 2>She created a billion dollar business like people women create,

1:18:52.720 --> 1:18:55.400
<v Speaker 2>you know, Kardashians like whatever, go everywhere you want, like

1:18:55.560 --> 1:19:01.520
<v Speaker 2>people create billion dollar Oprah, like people create. Women specifically

1:19:01.600 --> 1:19:05.360
<v Speaker 2>create successful businesses. But I'm just I'm wondering if there's

1:19:05.400 --> 1:19:11.439
<v Speaker 2>something else missing in the trajectory that doesn't allow women

1:19:11.520 --> 1:19:13.760
<v Speaker 2>to take their ideas and really run with it or

1:19:13.760 --> 1:19:19.360
<v Speaker 2>attract again the investors that ultimately create a female run

1:19:19.479 --> 1:19:23.800
<v Speaker 2>Google alphabet, a female run Tesla. You know what I mean?

1:19:24.960 --> 1:19:27.720
<v Speaker 20>Well, I think that I do think that there are

1:19:27.800 --> 1:19:30.720
<v Speaker 20>a female I think a lot of females. When you

1:19:30.760 --> 1:19:33.000
<v Speaker 20>think about entrepreneurs, a lot of them are thinking about

1:19:33.040 --> 1:19:35.400
<v Speaker 20>what is in their realm of expertise or what have

1:19:35.439 --> 1:19:39.000
<v Speaker 20>they experience in life that drives them to found a

1:19:39.000 --> 1:19:44.120
<v Speaker 20>certain company. Right, So, if a female is finding founding

1:19:44.200 --> 1:19:47.679
<v Speaker 20>a company based on the female experience, and she's pitching

1:19:47.760 --> 1:19:52.200
<v Speaker 20>it to male venture partners, there is a possibility that

1:19:52.280 --> 1:19:56.439
<v Speaker 20>isn't going to resonate, and we have to look we

1:19:56.520 --> 1:19:58.400
<v Speaker 20>have to look at the reality that we're faced with.

1:19:58.600 --> 1:20:01.040
<v Speaker 20>If you're if the decision are going to be men

1:20:01.080 --> 1:20:03.559
<v Speaker 20>and they're the ones who are you know, owning the

1:20:03.640 --> 1:20:07.240
<v Speaker 20>lion's share of investment dollars, then you have to I'm

1:20:07.280 --> 1:20:09.920
<v Speaker 20>not telling you to change your idea. What I'm suggesting

1:20:10.040 --> 1:20:12.680
<v Speaker 20>is that you people need to be aware. Women need

1:20:12.720 --> 1:20:15.000
<v Speaker 20>to be aware of these biases and then adjust their

1:20:15.040 --> 1:20:19.760
<v Speaker 20>pitch such that it may still be a wonderful opportunity

1:20:20.080 --> 1:20:23.160
<v Speaker 20>based on the male experience, but they need to make

1:20:23.200 --> 1:20:26.480
<v Speaker 20>sure that they present it in a way that resonates

1:20:26.479 --> 1:20:30.440
<v Speaker 20>with their male counterpart. Not everything about the female experience

1:20:30.520 --> 1:20:33.120
<v Speaker 20>will resonate with males, and so you have to perhaps

1:20:33.200 --> 1:20:36.160
<v Speaker 20>adjust your pitch. Think about how you know, how are

1:20:36.200 --> 1:20:39.439
<v Speaker 20>you doing the market sizing, what are you talking about exits?

1:20:39.479 --> 1:20:42.479
<v Speaker 20>Do you have enough exit potentials? A lot of times,

1:20:42.520 --> 1:20:45.160
<v Speaker 20>for example, if in a women's health company, whether we

1:20:45.400 --> 1:20:48.759
<v Speaker 20>like this or not, in medtech, there aren't that many

1:20:48.960 --> 1:20:53.280
<v Speaker 20>large medtech players that have sizeable women's health divisions, and

1:20:53.320 --> 1:20:56.360
<v Speaker 20>so if you have a women's health med tech company.

1:20:56.479 --> 1:21:01.040
<v Speaker 20>But you don't have perhaps a very distinct way of

1:21:01.120 --> 1:21:05.599
<v Speaker 20>exiting to a sizable acquir that shows an acquisitive nature.

1:21:05.960 --> 1:21:08.360
<v Speaker 20>An investor is going to push back on that, so

1:21:08.400 --> 1:21:10.040
<v Speaker 20>I go ahead.

1:21:10.160 --> 1:21:12.559
<v Speaker 2>No no, no, no, no no no, you're saying really

1:21:12.600 --> 1:21:15.280
<v Speaker 2>smart things. I guess that I'm just thinking again, I'm

1:21:15.320 --> 1:21:18.519
<v Speaker 2>playing Devil's advocate. Like if Mark Zuckerberg had been Maria

1:21:18.640 --> 1:21:22.200
<v Speaker 2>Zuckerberg and she created Facebook, would would she have gotten

1:21:22.240 --> 1:21:23.880
<v Speaker 2>the money to create Facebook?

1:21:23.880 --> 1:21:24.040
<v Speaker 5>Now?

1:21:24.160 --> 1:21:26.840
<v Speaker 2>Meta?

1:21:26.960 --> 1:21:29.120
<v Speaker 20>I don't know, because I do see some of our

1:21:29.120 --> 1:21:33.720
<v Speaker 20>female entrepreneurs and they are fab many of them. I mean,

1:21:33.760 --> 1:21:36.479
<v Speaker 20>some of them have issues just like our male entrepreneurs do.

1:21:37.000 --> 1:21:40.400
<v Speaker 20>But I just find that females also don't have as

1:21:40.520 --> 1:21:42.880
<v Speaker 20>much of a network. I don't know if it's the

1:21:43.080 --> 1:21:46.839
<v Speaker 20>sort of that old boys network that continues to prevail,

1:21:47.040 --> 1:21:50.400
<v Speaker 20>but they just don't seem to know enough investors. And

1:21:50.479 --> 1:21:53.120
<v Speaker 20>I also find them that they're not as assertive with

1:21:53.160 --> 1:21:58.080
<v Speaker 20>their investors and asking for introductions. So only my male

1:21:59.200 --> 1:22:01.080
<v Speaker 20>for example, when we're sitting on the board and we're

1:22:01.120 --> 1:22:04.120
<v Speaker 20>sort of well, I have this company and we're experiencing

1:22:04.280 --> 1:22:06.800
<v Speaker 20>X y Z, this could be helpful. These are why

1:22:06.840 --> 1:22:10.200
<v Speaker 20>my thoughts are this and I'm giving advice to a company.

1:22:10.240 --> 1:22:12.679
<v Speaker 20>Most of the time, my male CEOs will say, hey,

1:22:12.800 --> 1:22:14.720
<v Speaker 20>can you introduce me to that CEO so I can

1:22:14.800 --> 1:22:16.720
<v Speaker 20>learn a little bit more about you know, what you're

1:22:16.760 --> 1:22:19.200
<v Speaker 20>talking about, so I can really understand, whether it be

1:22:19.240 --> 1:22:24.200
<v Speaker 20>clinical design or you know, acquiring customers something another company.

1:22:24.680 --> 1:22:28.640
<v Speaker 20>It's very rare that a female will proactively ask me.

1:22:29.000 --> 1:22:32.960
<v Speaker 20>It happens, but a will proactively ask me to make

1:22:33.040 --> 1:22:36.080
<v Speaker 20>introductions for them. I have to offer. I will go

1:22:36.200 --> 1:22:38.320
<v Speaker 20>back and look at my rolodex and say who can

1:22:38.360 --> 1:22:41.439
<v Speaker 20>I introduce you to? But they will not proactively ask

1:22:41.560 --> 1:22:45.840
<v Speaker 20>me as an investor to make introductions for them, which

1:22:47.479 --> 1:22:50.519
<v Speaker 20>I have some but that makes a big difference.

1:22:50.520 --> 1:22:52.040
<v Speaker 2>We're going to let the guy wait. The guy in

1:22:52.080 --> 1:22:53.599
<v Speaker 2>the room want to say, I just want to ask

1:22:53.640 --> 1:22:54.639
<v Speaker 2>a question quick.

1:22:54.640 --> 1:22:56.880
<v Speaker 3>I just want to ask a question. Okay, just you

1:22:56.920 --> 1:22:59.519
<v Speaker 3>know one phrase. The most exciting area you're investing in

1:22:59.600 --> 1:22:59.920
<v Speaker 3>right now?

1:23:01.000 --> 1:23:01.200
<v Speaker 2>Ooh?

1:23:02.000 --> 1:23:08.920
<v Speaker 20>Personalizable tailored medtech companies that function very much like therapeutics,

1:23:08.960 --> 1:23:14.000
<v Speaker 20>and their functionality is able to basically shift and conform

1:23:14.160 --> 1:23:19.040
<v Speaker 20>to the anatomy of our human bodies and able to

1:23:19.200 --> 1:23:22.760
<v Speaker 20>really create therapy in a way that only therapeutics have

1:23:22.800 --> 1:23:23.960
<v Speaker 20>been able to do in the past.

1:23:24.040 --> 1:23:26.479
<v Speaker 2>I have to say, I have a niece's a doctor

1:23:26.720 --> 1:23:30.360
<v Speaker 2>and she has a good friend that has a doctor

1:23:30.400 --> 1:23:33.760
<v Speaker 2>to and they say, it's amazing, like the differences of

1:23:33.920 --> 1:23:41.000
<v Speaker 2>things that aren't done for women in healthcare and medical devices. Well,

1:23:41.120 --> 1:23:44.120
<v Speaker 2>I'll talk to you about it, but it's just the

1:23:44.240 --> 1:23:48.599
<v Speaker 2>perspective and things that are covered by insurance for men

1:23:48.840 --> 1:23:53.600
<v Speaker 2>versus women. And just Matt talked about it with breastfeeding

1:23:54.800 --> 1:23:58.920
<v Speaker 2>for his wife specifically, and just things you know that

1:23:59.000 --> 1:24:01.719
<v Speaker 2>come problems and stuff that you know there isn't research

1:24:01.800 --> 1:24:05.599
<v Speaker 2>followed for women. So you make such a valid point,

1:24:05.640 --> 1:24:07.639
<v Speaker 2>and you think about the in roads. And I also

1:24:07.680 --> 1:24:10.280
<v Speaker 2>think about if this money isn't going to these companies

1:24:10.360 --> 1:24:13.479
<v Speaker 2>women I was starting companies like you, think about if

1:24:13.479 --> 1:24:15.439
<v Speaker 2>they were allowed to run with it, what kind of

1:24:15.439 --> 1:24:18.439
<v Speaker 2>businesses they would create, What that would mean for you know,

1:24:18.880 --> 1:24:24.040
<v Speaker 2>public companies, market caps, economic momentum, right, job hiring. How

1:24:24.120 --> 1:24:25.679
<v Speaker 2>much we are ignoring at this point.

1:24:26.439 --> 1:24:28.880
<v Speaker 20>There is actually a company that I know that would

1:24:28.920 --> 1:24:32.640
<v Speaker 20>have been a fabulous company, would have changed the trajectory

1:24:32.680 --> 1:24:35.479
<v Speaker 20>of a disease that we all struggle with as women

1:24:35.920 --> 1:24:40.759
<v Speaker 20>and Unfortunately, because the Acquirer spun off their women's health division,

1:24:41.320 --> 1:24:44.680
<v Speaker 20>the technology was shelved even after they paid a lot

1:24:44.680 --> 1:24:47.160
<v Speaker 20>of money for it and never made it to market.

1:24:47.439 --> 1:24:48.320
<v Speaker 20>It's really sad.

1:24:49.240 --> 1:24:53.800
<v Speaker 2>That's amazing. That's amazing. Hey, listen, incredible stuff. Come back soon.

1:24:53.880 --> 1:24:56.160
<v Speaker 2>We'd love to continue this conversation with you. I really

1:24:56.160 --> 1:24:58.280
<v Speaker 2>feel like this was a very productive one because I

1:24:58.280 --> 1:25:00.679
<v Speaker 2>feel like it's a topic we've talked about for years,

1:25:01.439 --> 1:25:03.200
<v Speaker 2>but you really got to some of the core of

1:25:03.640 --> 1:25:08.880
<v Speaker 2>the problems. Tousney Dohadwala, she's founding a partner at Excelstar Ventures,

1:25:09.200 --> 1:25:11.479
<v Speaker 2>joining us on zoom from Boston. Really cool conversation.

1:25:11.560 --> 1:25:13.240
<v Speaker 3>Yeah, a lot of cool companies they've invested in note

1:25:13.240 --> 1:25:15.160
<v Speaker 3>but Data, Augmenis and more. This is Bloomberg.

1:25:15.479 --> 1:25:19.080
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:25:19.080 --> 1:25:22.439
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

1:25:22.520 --> 1:25:26.559
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App,

1:25:26.840 --> 1:25:29.120
<v Speaker 1>or watch us live on YouTube.

1:25:29.880 --> 1:25:32.320
<v Speaker 2>So you might recall our next guests, who we introduced

1:25:32.320 --> 1:25:34.920
<v Speaker 2>to you just a few months ago, two small business

1:25:34.960 --> 1:25:39.000
<v Speaker 2>owners with interesting backstories, Cheri and Tracy Sifax, who also

1:25:39.120 --> 1:25:41.280
<v Speaker 2>happened to be husband and wife. They co founded the

1:25:41.280 --> 1:25:43.320
<v Speaker 2>online dating service Just the Facts.

1:25:43.640 --> 1:25:45.960
<v Speaker 3>It's not just online dating though that they're doing. They're

1:25:45.960 --> 1:25:49.040
<v Speaker 3>also expanding their real estate portfolio. Most recently, the pair

1:25:49.160 --> 1:25:52.920
<v Speaker 3>entered the hospitality sector, purchasing Booker's Restaurant in West Philadelphia

1:25:53.000 --> 1:25:55.720
<v Speaker 3>earlier this year. Bloomberg News Deputy team leader for US

1:25:55.760 --> 1:25:58.599
<v Speaker 3>Equities Jess Menton and I asked Shari and Tracy White,

1:25:58.640 --> 1:26:00.760
<v Speaker 3>now is the right time to take a chance on

1:26:00.800 --> 1:26:02.360
<v Speaker 3>a restaurant the restaurant space.

1:26:02.439 --> 1:26:05.599
<v Speaker 7>But this is going great. We are selled up twenty

1:26:05.640 --> 1:26:08.559
<v Speaker 7>six percent over the first quarter, and we are excited

1:26:08.600 --> 1:26:11.000
<v Speaker 7>to be in this position. As you know, we kept

1:26:11.000 --> 1:26:13.400
<v Speaker 7>the majority of the staff, maybe seventy five percent of

1:26:13.439 --> 1:26:16.160
<v Speaker 7>the staff we kept there, so we didn't change much,

1:26:16.200 --> 1:26:19.720
<v Speaker 7>but we elevated the menu, added some special drinks, and

1:26:19.880 --> 1:26:21.040
<v Speaker 7>it's been a real great ride.

1:26:21.240 --> 1:26:23.760
<v Speaker 13>It's an interesting dynamic because, especially coming out of the

1:26:23.800 --> 1:26:27.120
<v Speaker 13>pandemic right tim when you think about how challenging it's

1:26:27.160 --> 1:26:29.479
<v Speaker 13>been for specific restaurants.

1:26:29.120 --> 1:26:31.720
<v Speaker 3>Exactly where my head was going to go, Yeah, Like,

1:26:31.800 --> 1:26:34.040
<v Speaker 3>if you're going to buy a restaurant twenty twenty three,

1:26:34.080 --> 1:26:36.800
<v Speaker 3>when you're coming out of a pandemic, tracy is not

1:26:36.840 --> 1:26:39.160
<v Speaker 3>really the time to do it. Can't find labor, Yes,

1:26:39.320 --> 1:26:43.000
<v Speaker 3>costs are going through the roof, food costs are going up,

1:26:43.200 --> 1:26:44.960
<v Speaker 3>and then you have this whole pandemic thing that you

1:26:44.960 --> 1:26:47.799
<v Speaker 3>got to worry about. What's the uh, you know, What's

1:26:48.000 --> 1:26:49.200
<v Speaker 3>why take a risk like that?

1:26:49.240 --> 1:26:50.759
<v Speaker 2>Well, we felt we looked at the model.

1:26:51.320 --> 1:26:53.519
<v Speaker 7>The previous on Asaba had built a great model over

1:26:53.640 --> 1:26:55.680
<v Speaker 7>six years, so she had built the sess. It was

1:26:55.720 --> 1:26:58.880
<v Speaker 7>already pretty much there when we inherited the restaurant, and

1:26:58.920 --> 1:27:01.479
<v Speaker 7>we just really felt with our profile and our social

1:27:01.520 --> 1:27:04.200
<v Speaker 7>media presence that we can elevate it and market it

1:27:04.240 --> 1:27:07.800
<v Speaker 7>in a whole different light. Bookers is located not too

1:27:07.840 --> 1:27:11.160
<v Speaker 7>far from the colleges, the hospitals, so it's in a

1:27:11.240 --> 1:27:14.719
<v Speaker 7>prime area for that type of growth. So we really

1:27:14.720 --> 1:27:19.200
<v Speaker 7>felt that we could really enhance Bookers by just our presence.

1:27:19.400 --> 1:27:22.040
<v Speaker 13>I'm curious what y'all are seeing when it comes to

1:27:22.280 --> 1:27:25.000
<v Speaker 13>because Tim brought up labor and obviously when you think

1:27:25.000 --> 1:27:27.840
<v Speaker 13>about inflation issues with what you're seeing, what do you

1:27:27.880 --> 1:27:30.320
<v Speaker 13>think this tells us about the direction of the economy.

1:27:30.880 --> 1:27:32.679
<v Speaker 19>Well, a couple of things. I think the economy is

1:27:32.960 --> 1:27:35.719
<v Speaker 19>doing better than initially when we started talking about recession

1:27:35.760 --> 1:27:37.720
<v Speaker 19>and everyone was concerned and worried, and even we were

1:27:37.720 --> 1:27:39.960
<v Speaker 19>because we were in the middle of negotiations during that time.

1:27:40.360 --> 1:27:43.919
<v Speaker 19>We felt good about our business evaluation and the ability

1:27:43.920 --> 1:27:46.120
<v Speaker 19>to retain employees. The really great thing about being in

1:27:46.160 --> 1:27:50.280
<v Speaker 19>West Philadelphia and Philadelphia period is very neighborhood centric. So

1:27:50.360 --> 1:27:52.480
<v Speaker 19>a lot of our employees come right from the neighborhood.

1:27:52.520 --> 1:27:54.639
<v Speaker 19>They can walk to work. So it's rare that you're

1:27:54.680 --> 1:27:56.240
<v Speaker 19>able to walk to work and not have to work

1:27:56.240 --> 1:27:58.600
<v Speaker 19>in center city and still be able to make a

1:27:58.600 --> 1:28:01.920
<v Speaker 19>really good wage. Those things helped us retain and have

1:28:02.280 --> 1:28:02.960
<v Speaker 19>helped us grow.

1:28:03.080 --> 1:28:05.680
<v Speaker 13>How challenging is that from a business perspective because I

1:28:05.680 --> 1:28:07.800
<v Speaker 13>feel like at Bloomberg Great Tim, we're always talking about, oh,

1:28:07.840 --> 1:28:10.320
<v Speaker 13>the employment costs index, and it's really challenging for businesses

1:28:10.360 --> 1:28:12.000
<v Speaker 13>as far as to keep up with that type of

1:28:12.040 --> 1:28:15.600
<v Speaker 13>wage growth. From your perspective and what you hear anecdotally

1:28:15.840 --> 1:28:17.960
<v Speaker 13>from your employees, what is that challenge like?

1:28:18.120 --> 1:28:20.240
<v Speaker 19>Yeah, So what we think about is every dollar that

1:28:20.280 --> 1:28:21.920
<v Speaker 19>we spend, we have to figure out what that return

1:28:21.920 --> 1:28:23.639
<v Speaker 19>on investment is. So we have to look at every

1:28:23.640 --> 1:28:26.360
<v Speaker 19>single line item. We've done well with having a fractional

1:28:26.400 --> 1:28:29.320
<v Speaker 19>CFO that really helps us look at not just the

1:28:29.439 --> 1:28:30.400
<v Speaker 19>food and things like that.

1:28:30.439 --> 1:28:33.120
<v Speaker 3>We adusait explain what afractional CFO is. I mean, it

1:28:33.200 --> 1:28:36.960
<v Speaker 3>sounds like it's pretty self explanatory, but so differently saying

1:28:37.000 --> 1:28:38.080
<v Speaker 3>a part time CEO.

1:28:38.200 --> 1:28:41.840
<v Speaker 19>Basically a part time CFO. Our accountant has that service

1:28:41.840 --> 1:28:43.559
<v Speaker 19>and they offer that. And I think sometimes when we

1:28:43.600 --> 1:28:45.880
<v Speaker 19>go wrong in business, especially at entrepreneurs, is that we

1:28:45.920 --> 1:28:47.919
<v Speaker 19>try to do it ourselves. We try to wing at ourselves,

1:28:48.160 --> 1:28:51.280
<v Speaker 19>and having that outside help really helps us look at

1:28:51.320 --> 1:28:54.160
<v Speaker 19>every single line item so we know how what percentage

1:28:54.160 --> 1:28:56.080
<v Speaker 19>we want our labor to be. We know what percentage

1:28:56.080 --> 1:28:58.120
<v Speaker 19>we want our expenses to be as far as food,

1:28:58.200 --> 1:28:59.880
<v Speaker 19>so we have to look at those things. Obviously, we

1:28:59.880 --> 1:29:02.479
<v Speaker 19>have to look at everything and make adjustments for inflation

1:29:02.720 --> 1:29:05.280
<v Speaker 19>and look at wind eggs are up, wind, butters up,

1:29:05.280 --> 1:29:07.680
<v Speaker 19>you know, those types of things to adjust pricing accordingly.

1:29:07.840 --> 1:29:10.800
<v Speaker 13>It's funny because McDonald's has this sort of fry indicator

1:29:10.840 --> 1:29:12.920
<v Speaker 13>as far as how many people are adding those on

1:29:13.000 --> 1:29:14.879
<v Speaker 13>to where they can tell this is what an indicator

1:29:14.920 --> 1:29:16.880
<v Speaker 13>means for the economy. I'm curious if you have any

1:29:16.920 --> 1:29:18.720
<v Speaker 13>sort of way to gauge. As far as when it

1:29:18.760 --> 1:29:21.479
<v Speaker 13>comes to spending in the consumer, well, at.

1:29:21.280 --> 1:29:23.719
<v Speaker 19>This point, we're what five four months, and so everything

1:29:23.800 --> 1:29:25.760
<v Speaker 19>is still a first for us. But we're definitely looking

1:29:25.800 --> 1:29:28.439
<v Speaker 19>at the market. We definitely look at our sales versus

1:29:28.479 --> 1:29:30.600
<v Speaker 19>last year. We look at how many seats, not just

1:29:31.280 --> 1:29:33.400
<v Speaker 19>what the revenue number is up, but actually how many

1:29:33.400 --> 1:29:36.439
<v Speaker 19>people are coming into the restaurant. So we're assessing all

1:29:36.439 --> 1:29:38.760
<v Speaker 19>that data and that that helps us with our forecasting

1:29:39.280 --> 1:29:41.960
<v Speaker 19>and it helps us build out knowing how much we

1:29:42.040 --> 1:29:44.759
<v Speaker 19>need to make sure staff is proper we're properly staffed,

1:29:44.760 --> 1:29:46.800
<v Speaker 19>and that we have enough inventory so that we have

1:29:47.160 --> 1:29:49.160
<v Speaker 19>we're able to serve our customers with our menus.

1:29:49.320 --> 1:29:51.439
<v Speaker 3>Hey, Tracy, give us an idea of how you think

1:29:51.479 --> 1:29:54.040
<v Speaker 3>the economy is based not just on the restaurant, but

1:29:54.120 --> 1:29:57.160
<v Speaker 3>the work that you've done in real estate development, what

1:29:57.200 --> 1:29:58.880
<v Speaker 3>you're seeing in your other businesses right now.

1:29:59.000 --> 1:29:59.320
<v Speaker 4>Yeah.

1:29:59.360 --> 1:30:02.280
<v Speaker 7>Well, I always believed in real estate as someone who

1:30:02.439 --> 1:30:05.720
<v Speaker 7>started my first investments in early two thousand. Even when

1:30:05.720 --> 1:30:08.640
<v Speaker 7>the market crash in two thousand and eight and I

1:30:08.720 --> 1:30:11.000
<v Speaker 7>lost millions of dollars in the real estate crash, it

1:30:11.080 --> 1:30:13.360
<v Speaker 7>was still my saving grace as I came out of

1:30:13.400 --> 1:30:16.080
<v Speaker 7>that that allowed me to continue to do business and

1:30:16.120 --> 1:30:19.599
<v Speaker 7>actually eventually buys Booker. So I'm always big on economy.

1:30:19.640 --> 1:30:22.680
<v Speaker 7>I really believe in us. I believe that what we

1:30:22.720 --> 1:30:25.599
<v Speaker 7>can do as a husband and wife team that gives

1:30:25.640 --> 1:30:27.720
<v Speaker 7>me a bright look on what the economy can bring.

1:30:27.760 --> 1:30:30.800
<v Speaker 7>So I really believe that our combination has really been

1:30:30.840 --> 1:30:32.760
<v Speaker 7>the proven recipe.

1:30:32.800 --> 1:30:35.800
<v Speaker 3>It's less about what's happening externally for you, yes, and

1:30:35.880 --> 1:30:37.800
<v Speaker 3>more about what the two of you can sort of

1:30:37.800 --> 1:30:40.559
<v Speaker 3>like what I'm hearing from you is it doesn't matter

1:30:40.560 --> 1:30:42.960
<v Speaker 3>how the economy is because you guys can weather it.

1:30:43.080 --> 1:30:43.240
<v Speaker 5>Oh.

1:30:43.280 --> 1:30:43.880
<v Speaker 2>Absolutely.

1:30:44.240 --> 1:30:47.160
<v Speaker 7>I'm thirty years as being a serial entrepreneur, so I've

1:30:47.240 --> 1:30:49.879
<v Speaker 7>seen the highs and the lows. I really have felt them.

1:30:50.400 --> 1:30:52.919
<v Speaker 7>So really believe that even when we have a bad economy.

1:30:52.960 --> 1:30:56.280
<v Speaker 7>I think good business, good customer sells in any economy.

1:30:56.360 --> 1:30:57.720
<v Speaker 3>But do we have a bad economy right now?

1:30:57.800 --> 1:31:00.040
<v Speaker 7>I don't believe, so, I don't believe so.

1:31:00.120 --> 1:31:03.040
<v Speaker 19>Yeah, And real estate has always been my anchor as well,

1:31:03.080 --> 1:31:06.439
<v Speaker 19>so when we put it all together, that really gave

1:31:06.520 --> 1:31:08.519
<v Speaker 19>us leverage to do a lot of other things. So

1:31:08.680 --> 1:31:11.559
<v Speaker 19>real estate does always tend to be that foundation that

1:31:11.600 --> 1:31:13.240
<v Speaker 19>if you have that and you're able to get in

1:31:13.960 --> 1:31:17.240
<v Speaker 19>on some really good opportunities that that propels you and

1:31:17.280 --> 1:31:19.760
<v Speaker 19>can't propel you to other things, and you always can

1:31:19.880 --> 1:31:20.400
<v Speaker 19>leverage it.

1:31:20.680 --> 1:31:22.559
<v Speaker 13>Do you see any sort of red flags brewing at

1:31:22.600 --> 1:31:24.640
<v Speaker 13>all when it comes to the real estate space? We

1:31:24.680 --> 1:31:27.160
<v Speaker 13>always talk so much about when it comes to commercial

1:31:27.200 --> 1:31:29.800
<v Speaker 13>real estate, But are there things beyond that type of

1:31:29.840 --> 1:31:32.600
<v Speaker 13>area that you think you're a little weary about right now?

1:31:32.640 --> 1:31:34.720
<v Speaker 7>Yeah, commercial real estate. Me and my wife, we was

1:31:34.800 --> 1:31:37.639
<v Speaker 7>just talking about. We visit a lot of malls and

1:31:37.680 --> 1:31:39.600
<v Speaker 7>we were just visiting the mall and some of the

1:31:39.640 --> 1:31:42.840
<v Speaker 7>malls that we've been visited as we've been shopping, that's

1:31:42.880 --> 1:31:46.080
<v Speaker 7>been pretty much non existent when it comes to customers

1:31:46.120 --> 1:31:48.519
<v Speaker 7>inside stores like they used to be. So it's something

1:31:48.600 --> 1:31:51.240
<v Speaker 7>that we definitely noticed in the commercial space.

1:31:51.520 --> 1:31:52.840
<v Speaker 13>Is that something that would give you pause and you

1:31:52.880 --> 1:31:53.880
<v Speaker 13>wouldn't want to go into that.

1:31:53.960 --> 1:31:58.759
<v Speaker 7>I wouldn't want to open up a restaurant on the mall, Right, That's.

1:31:58.560 --> 1:32:01.840
<v Speaker 19>Where I'm headed with that, And I don't know, we

1:32:01.880 --> 1:32:04.600
<v Speaker 19>wouldn't have probably purchased the restaurant without being able to

1:32:04.600 --> 1:32:06.960
<v Speaker 19>purchase the real estate. So we purchased the commercial space

1:32:07.160 --> 1:32:10.000
<v Speaker 19>six apartments and things like that because it gives us

1:32:10.000 --> 1:32:12.679
<v Speaker 19>so many more opportunities in the event that anything happens

1:32:12.720 --> 1:32:13.280
<v Speaker 19>with the restaurant.

1:32:13.400 --> 1:32:16.400
<v Speaker 3>What are you seeing the on the landlord tenants side?

1:32:16.439 --> 1:32:17.920
<v Speaker 3>What are you seeing with the tenants right now?

1:32:18.000 --> 1:32:19.800
<v Speaker 19>Yeah, so far, attendants have been great. We've been really,

1:32:19.840 --> 1:32:22.519
<v Speaker 19>really fortunate. We believe that we offer a good product

1:32:22.920 --> 1:32:25.479
<v Speaker 19>and that they acquiesce and they do their part of

1:32:25.520 --> 1:32:28.400
<v Speaker 19>it too. So we're pretty accessible, We're pretty available, and

1:32:28.439 --> 1:32:30.759
<v Speaker 19>we just haven't had any tenant landlord issues.

1:32:30.920 --> 1:32:33.280
<v Speaker 3>No, but we like to talk to landlords too because

1:32:33.360 --> 1:32:36.160
<v Speaker 3>they start saying, okay, well, late rents are a normal,

1:32:36.240 --> 1:32:38.080
<v Speaker 3>normal part of being a landlord, especially if you have

1:32:38.080 --> 1:32:40.720
<v Speaker 3>a lot of tenants. Absolutely, are we seeing more late

1:32:40.760 --> 1:32:42.200
<v Speaker 3>rents now? Are we seeing people?

1:32:42.439 --> 1:32:45.559
<v Speaker 19>You know? Pretty fortunate through the pandemic. We had two

1:32:45.680 --> 1:32:48.479
<v Speaker 19>people that kind of took advantage of not paying and

1:32:48.520 --> 1:32:53.200
<v Speaker 19>that's of what twenty sumidd tenants that was less than

1:32:53.240 --> 1:32:56.280
<v Speaker 19>ten percent. Like, we were pretty fortunate. I think, you know,

1:32:56.760 --> 1:32:59.360
<v Speaker 19>the beauty of Tracy being a developer. We keep our

1:32:59.360 --> 1:33:02.120
<v Speaker 19>properties really well and things like that, so you have

1:33:02.200 --> 1:33:04.240
<v Speaker 19>a good thing kind of why you know, mess it

1:33:04.280 --> 1:33:07.639
<v Speaker 19>up when you think of certain urban communities and landlarns

1:33:07.640 --> 1:33:11.679
<v Speaker 19>that are not as invested in your quality of life.

1:33:11.800 --> 1:33:14.760
<v Speaker 19>So to Tracey's point about service and customer service, we

1:33:14.920 --> 1:33:18.320
<v Speaker 19>just live the model up, provide a good product, and

1:33:18.360 --> 1:33:19.479
<v Speaker 19>we'll get a good result.

1:33:19.600 --> 1:33:21.400
<v Speaker 3>Do you guys do the day to day with that too,

1:33:22.240 --> 1:33:23.960
<v Speaker 3>meaning do day to day work on that? Or do

1:33:24.000 --> 1:33:25.080
<v Speaker 3>you have a management company?

1:33:25.080 --> 1:33:27.800
<v Speaker 19>We have someone that helps us manage the overall. Yeah,

1:33:27.880 --> 1:33:30.920
<v Speaker 19>but Tracy's able to assess whatever needs to be done

1:33:31.040 --> 1:33:32.599
<v Speaker 19>and is able to, you know, get a team out

1:33:32.600 --> 1:33:33.559
<v Speaker 19>there and take care of things.

1:33:33.840 --> 1:33:35.400
<v Speaker 13>We only have about a minute left, but I have

1:33:35.479 --> 1:33:38.400
<v Speaker 13>to ask about also your dating coaching business. You both

1:33:38.439 --> 1:33:40.840
<v Speaker 13>met during the height of the pandemic virtually, so tell

1:33:40.880 --> 1:33:42.799
<v Speaker 13>us a little bit quickly about your dating business.

1:33:42.960 --> 1:33:43.200
<v Speaker 4>Yeah.

1:33:43.280 --> 1:33:45.559
<v Speaker 19>So, I don't have as much time for it as

1:33:45.560 --> 1:33:48.479
<v Speaker 19>I used to because of the restaurant, however, and it's

1:33:48.479 --> 1:33:50.160
<v Speaker 19>shifted a little bit because it used to be like

1:33:50.200 --> 1:33:52.559
<v Speaker 19>how I attracted my husband and all the positive things

1:33:52.600 --> 1:33:53.800
<v Speaker 19>about that, and now is like how are me and

1:33:53.800 --> 1:33:55.880
<v Speaker 19>my husband really doing business and day to day? But

1:33:56.120 --> 1:33:59.679
<v Speaker 19>ultimately the messages, you know, fall in love with yourself,

1:33:59.680 --> 1:34:01.680
<v Speaker 19>make sure you understand and know what you want. I

1:34:01.720 --> 1:34:05.200
<v Speaker 19>love that the out of the relationship, do you Yeah,

1:34:05.240 --> 1:34:07.960
<v Speaker 19>and then the thing that you want will will come

1:34:08.000 --> 1:34:16.200
<v Speaker 19>and find you. Basically, do you have begtten the results

1:34:16.200 --> 1:34:17.920
<v Speaker 19>you're looking for? You may want to adjust that, yes,

1:34:18.439 --> 1:34:19.559
<v Speaker 19>because that's okay too.

1:34:20.080 --> 1:34:20.600
<v Speaker 18>I love that.

1:34:20.960 --> 1:34:25.240
<v Speaker 13>A great little lotto there. Well, Seri and Tracy Sifax.

1:34:25.280 --> 1:34:28.360
<v Speaker 13>Great to have you both joining Tim Stenovic and myself

1:34:28.400 --> 1:34:31.080
<v Speaker 13>here in the Bloomberg Interactive Brokers studio, who are the

1:34:31.080 --> 1:34:33.160
<v Speaker 13>founders of just the facts, but then also they have

1:34:33.200 --> 1:34:36.240
<v Speaker 13>all of these different small business entrepreneur type areas like

1:34:36.240 --> 1:34:38.280
<v Speaker 13>we were just talking about with Booker's restaurant and bar.

1:34:38.400 --> 1:34:39.760
<v Speaker 3>Oh, don't forget Sure's book too.

1:34:40.160 --> 1:34:42.479
<v Speaker 13>Oh yes, and of course we have to talk about

1:34:42.520 --> 1:34:44.880
<v Speaker 13>what's happening with her book as well with that, so

1:34:44.920 --> 1:34:47.439
<v Speaker 13>people should check it out as far as second act,

1:34:47.520 --> 1:34:50.479
<v Speaker 13>living boldly and abundantly at every age.

1:34:50.840 --> 1:34:56.280
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