WEBVTT - Bloomberg Businessweek Weekend - February 10th, 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>bloom All business, finance and tech news. The Bloomberg Business

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<v Speaker 1>Week Podcast with Carol Masser and Tim stinebec from Bloomberg Radio. Well,

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<v Speaker 1>big activism, it is back. Why Well, some rule changes

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<v Speaker 1>in a fatigue, with bad corporate governance playing important roles.

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<v Speaker 1>But as with so many things, it starts with money

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<v Speaker 1>and good timing. So writes Bloomberg News senior Deals reporter

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<v Speaker 1>At Hammond in a store in the upcoming issue of

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<v Speaker 1>Bloomberg Business Week magazine, add on newsstands later this week,

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<v Speaker 1>already on the Bloomberg terminal and online at Bloomberg dot

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<v Speaker 1>com slash business Week, ed Hammond. As we mentioned Deal's reporter,

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<v Speaker 1>he joins us on the phone in New York City

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<v Speaker 1>along with the editor of Bloomberg Business Week, Toil Webber.

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<v Speaker 1>He's in our Bloomberg Interactive Broker studio. It does feel

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<v Speaker 1>like all of a sudden, activists don't have kind of awakened. Yeah,

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<v Speaker 1>and it was it got quiet there for a little bit, right,

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<v Speaker 1>and then uh, you know the you can only you

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<v Speaker 1>can only lick your chops for so long. But if

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<v Speaker 1>you're like, let's do this, um so, and what what

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<v Speaker 1>did the targets look like? And why did it go

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<v Speaker 1>quiet for a little while? It went quite for several reasons,

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<v Speaker 1>and obviously we try and get into all of them

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<v Speaker 1>a little bit in the article. I think, first and foremost,

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<v Speaker 1>it was just very expensive for activists to go after

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<v Speaker 1>the big companies until the recent turn in the stock market,

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<v Speaker 1>which is obviously poor evaluations down a fair bit and

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<v Speaker 1>and just made building that initial stake easier. It also

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<v Speaker 1>obviously gives them quite a lot more potential upsided um

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<v Speaker 1>if you know, if share process are sort of off

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<v Speaker 1>their all time highs. But I think there are other

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<v Speaker 1>things to play here as well. I think the changes

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<v Speaker 1>in the way activists and indeed anyone is allowed to

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<v Speaker 1>sort of vote uh. In terms of nominating directors, it's

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<v Speaker 1>significantly so called universal proxy rules, which allow dissident shareholders

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<v Speaker 1>to put forth their nominees for the board of directors

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<v Speaker 1>on the same card that the company has to send

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<v Speaker 1>out shells. And now that seems very technical, but it

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<v Speaker 1>actually is. It's a meaningful change for actors because it

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<v Speaker 1>both lowers the cost and the workload needed to actually

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<v Speaker 1>elect directors to go onto public company boards. So what

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<v Speaker 1>was the name when it? When it popped that you

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<v Speaker 1>were like, Okay, we're back in the game. I think

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<v Speaker 1>the Sales Force was the one for us that really

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<v Speaker 1>kind of highlighted the trend. I mean they say that

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<v Speaker 1>three maker trends and Salesforce got four activists in the

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<v Speaker 1>space of you know, a few days, which it's pretty

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<v Speaker 1>unheard of. I mean occasionally you see one or two

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<v Speaker 1>showing up in very large companies. But for four and

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<v Speaker 1>four big brand activists in the form of Value Act

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<v Speaker 1>and Starboard, Elliott and Jeff bubb and to all show

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<v Speaker 1>their hands, Um, it's pretty significant and show us that,

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<v Speaker 1>like big company that obviously back on the table, but

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<v Speaker 1>there's obviously also enough appetite among the activists to really

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<v Speaker 1>go for it. You know what, I was reading your story, Uh,

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<v Speaker 1>it made me start to wonder. You know, you think

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<v Speaker 1>of the famous activists investors out there, Nelson tells Paul Singer,

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<v Speaker 1>But of that era, you know, that's what investors who

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<v Speaker 1>have been around for decades now, and it makes me wonder,

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<v Speaker 1>you know, is there a new generation coming up behind them?

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<v Speaker 1>Or is this kind of a lost art to some degree?

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<v Speaker 1>You know, I know there's a lot of younger investors

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<v Speaker 1>on the activists short side, but is activist long you know,

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<v Speaker 1>is it sort of an old fashioned thing or are

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<v Speaker 1>there are there no one? It's it's a it's a

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<v Speaker 1>great point. I mean, it's a sort of gentocracy of sorts,

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<v Speaker 1>this kind of investing just wait two minutes, um and

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<v Speaker 1>and the reason it's it's so fun to cover it's,

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<v Speaker 1>as you say, these are sort of larger than like

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<v Speaker 1>characters who have been around for several generations and through

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<v Speaker 1>lots of lots of market cycles. And they're fun. I

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<v Speaker 1>mean they say things sort are interesting, They say things

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<v Speaker 1>that are not the sort of pre prepared speech that

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<v Speaker 1>we might expect from a lot of investors in day market,

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<v Speaker 1>and they make it much more intend to cover. In

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<v Speaker 1>terms of new entrants, yes there are lots of new

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<v Speaker 1>small all activists, but they tend to be less well financed,

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<v Speaker 1>so it's much harder for them to come into these

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<v Speaker 1>kind of big companies that we care about. They also

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<v Speaker 1>tend to come in with a sort of a smaller,

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<v Speaker 1>if you like, menu of options that they can push,

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<v Speaker 1>so they'll come in often to small companies and say, look,

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<v Speaker 1>just sell yourself because you did get a control premium

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<v Speaker 1>that might be forty percent above where you are now

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<v Speaker 1>and we want that. Well, hey, you know and you

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<v Speaker 1>mentioned that sec UM the new SEC rules in terms

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<v Speaker 1>of the board is how much of that, Like would

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<v Speaker 1>we be having this conversation with you? Do you think

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<v Speaker 1>if that hadn't happened, Um, I think it adds to

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<v Speaker 1>the ability of activists to do these kind of things.

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<v Speaker 1>I think we probably would be seeing some large scale activism.

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<v Speaker 1>I mean, obviously it paused a bit during COVID, and

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<v Speaker 1>so there's this sort of money on the sidelines it

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<v Speaker 1>was going to be deployed. You coupled that with the

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<v Speaker 1>fact that valuations have come in a lot, and you

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<v Speaker 1>get that sort of inevitable uplifting activism. But I think yes,

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<v Speaker 1>the rule changes have definitely made either. I think Pelts himself,

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<v Speaker 1>when he came out against Disney earlier this year, was

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<v Speaker 1>very clear on that point that the universal proxy rules

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<v Speaker 1>in some way facilitated his campaign and actually was something

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<v Speaker 1>he had lobbied quite hard to get UM introduced. Okay, so, Ed,

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<v Speaker 1>what what do you think it's gonna look like like,

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<v Speaker 1>what what's the You know, ultimately there's exits that these

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<v Speaker 1>investors are looking for, but like when when are they

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<v Speaker 1>willing to sort of settle and and what is it?

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<v Speaker 1>How does the trajectory play out for for what's in store?

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<v Speaker 1>Still so, I think usually activists want some some form

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<v Speaker 1>of control, and that's more often than not in the

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<v Speaker 1>form of a board seat or you know, getting one

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<v Speaker 1>of their sort of independent people nominated as board of

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<v Speaker 1>directors um in very big companies. I mean, yes, it's

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<v Speaker 1>possible to do that, and they often do achieve that,

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<v Speaker 1>but it's usually minority slates as opposed to whole control slates.

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<v Speaker 1>All right, Ed Hammond, thank you so much. Steals, reporter

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<v Speaker 1>at Bloomberg News on the phone in New York City.

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<v Speaker 1>Jill Webber, the editor of Bloomberg Business Week, here in

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<v Speaker 1>studio this story, as we mentioned in the upcoming new

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<v Speaker 1>issue of Bloomberg Business Week, out later this week. Already

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<v Speaker 1>on the Bloomberg and at Bloomberg dot com. This is

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<v Speaker 1>Bloomberg Radio. You're listening to the Bloomberg Business Week podcast.

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<v Speaker 1>Catch us live weekdays from two to five pm Easter

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<v Speaker 1>Just Say Alexa play Bloomberg E Love and Dirty. Alright, Tim, So,

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<v Speaker 1>as we mentioned, shares a Bed Bath and Beyond their

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<v Speaker 1>up year today still down more than from a high

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<v Speaker 1>back in August two. It's been often grouped among the

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<v Speaker 1>meme stocks actively traded by retail investors, and the company

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<v Speaker 1>is indicated it's getting ready for a potential bankruptcy filing.

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<v Speaker 1>How it got there and who's to blame that is

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<v Speaker 1>the subject of another one of our most read stories

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<v Speaker 1>on the Bloomberg Today. With more on her story, Let's

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<v Speaker 1>bring in Joette Newman, Bloomberg News US luxury retail and

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<v Speaker 1>personal care industries reporter. She's with us right now when

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<v Speaker 1>our Bloomberg Interactive Broker's studio. So, Janette, who is to

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<v Speaker 1>blame for what's happening at Bed Bath and Beyond. Well,

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<v Speaker 1>there are many people. Um to blame, is the is

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<v Speaker 1>the short answer. And I think, I mean one one

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<v Speaker 1>thing that is to blame is Amazon. But I think

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<v Speaker 1>Amazon kind of you know, whenever there's retail bankruptcies, people

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<v Speaker 1>kind of cat you know, this is another one bites

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<v Speaker 1>the dust because of Amazon. And it's much more complicated

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<v Speaker 1>than that because obviously there's a lot of retailers out

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<v Speaker 1>there who are competing against Amazon and they're doing and

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<v Speaker 1>they're doing fine. So Amazon is you know, somewhat to

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<v Speaker 1>blame for Bedbad where Bed Bath and Beyond ended up,

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<v Speaker 1>but it's a small portion of the of the blame.

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<v Speaker 1>And just over over the past you know, several years,

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<v Speaker 1>there's been a series of management missteps and miscalculations that

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<v Speaker 1>led the company to where it is today. So it's

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<v Speaker 1>it's um structural forces with Amazon, but also you know,

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<v Speaker 1>mistakes by managers over the past several years. Well, talk

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<v Speaker 1>to us about some of the mistakes because we've been

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<v Speaker 1>talking about retail I feel like for over a decade

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<v Speaker 1>in terms of how we got overstored too many strategies

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<v Speaker 1>out there, and we've seen fall at I mean, we

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<v Speaker 1>even just see i mean, let's go on here post

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<v Speaker 1>pandemic of just so many retail that have whittled down,

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<v Speaker 1>you know, their stores, their brick and mortar stores. So

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<v Speaker 1>what specifically though in the Bed Bath and Beyond strategy

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<v Speaker 1>as itt that they just kind of messed up with.

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<v Speaker 1>So they definitely didn't invest enough in in online so

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<v Speaker 1>that that left them kind of, you know, flat footed

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<v Speaker 1>competing against Amazon that omni channel. Right, I can go

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<v Speaker 1>to the store, I can buy online from you guys

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<v Speaker 1>and all that good stuff. Exactly. They didn't. They didn't,

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<v Speaker 1>They didn't do that well. They spent a lot of

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<v Speaker 1>money UM buying lots of companies, for example by By Baby,

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<v Speaker 1>Christmas Tree Shops. They spent a ton of money billions

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<v Speaker 1>and billions UM on share on share buy backs. That

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<v Speaker 1>was kind of the previous leadership. Then a new CEO

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<v Speaker 1>a couple of years ago UM took over. He was

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<v Speaker 1>the former head UM chief merchant at Target. So it's

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<v Speaker 1>a really big deal Mark Tritt, and people were really

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<v Speaker 1>excited about what he was going to do to potentially

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<v Speaker 1>turn this, uh this company around and and in fact,

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<v Speaker 1>he was not able to turn it around. And you know,

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<v Speaker 1>long story, hopefully people can can read that, can read

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<v Speaker 1>the story. But some of what he did was also

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<v Speaker 1>double down on share buy backs, so spent a billion

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<v Speaker 1>dollars at a time when the company didn't have necessarily

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<v Speaker 1>that cash on hand, and also made a pivot to

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<v Speaker 1>UM white label or private label brands and that's something

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<v Speaker 1>that for a retailer can actually make a lot of

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<v Speaker 1>sense because essentially you're cutting out the middleman, right, so

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<v Speaker 1>it's like you're going to the factory in China and

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<v Speaker 1>you're sourcing the products. Um doesn't it seem crazy in

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<v Speaker 1>hindsight because it's the kind of story you like a

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<v Speaker 1>meta candles or I need some towels, or I need

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<v Speaker 1>a rug for the bathroom. I go in bam, do

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<v Speaker 1>it go right? Right? And so the private label thing

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<v Speaker 1>can make sense because there's higher there's higher margins, is

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<v Speaker 1>more profitable for companies. But they did it at right

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<v Speaker 1>like when the pandemic hit, so they weren't able to

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<v Speaker 1>effectively source all of their their new products from China.

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<v Speaker 1>And also they ended up doing it at the expense

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<v Speaker 1>perhaps unintentional, but at the expense of some of these

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<v Speaker 1>well known brands that took people to the store for decades,

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<v Speaker 1>Kitchen Aid, Oxo, all those brands. So now they had

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<v Speaker 1>all their own new brands that people didn't know, didn't recognize,

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<v Speaker 1>didn't resonate with the customer, and there wasn't the same

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<v Speaker 1>availability of the kitchen Aids and the Oxos, so customer

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<v Speaker 1>or is then that that started the company on a

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<v Speaker 1>downward spiral. Right, customers go there, they don't see, they

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<v Speaker 1>don't see what they want. The company's burning cash cash is,

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<v Speaker 1>you know, their cash pile is is starting to dwindle.

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<v Speaker 1>Suppliers start to get really nervous because they think that

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<v Speaker 1>they're not going to get paid. Um, suppliers pull back,

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<v Speaker 1>shelves end up being empty. Starts a vicious cycle where

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<v Speaker 1>that if a shelf is empty. Yeah, yeah, So it's

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<v Speaker 1>just it's this downward spiral that they got caught that

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<v Speaker 1>they got caught in. And they've been known for having

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<v Speaker 1>like right the inventory, you could just see it piled up.

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<v Speaker 1>It was even more striking, I think because of you know,

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<v Speaker 1>it had been kind of like a stack at high

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<v Speaker 1>and let it fly as what they would what they

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<v Speaker 1>would call it in retail back in the back in

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<v Speaker 1>the day, you know, So I think that that was

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<v Speaker 1>one of the things that also it was just such

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<v Speaker 1>a stark contrast to what the company had had been

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<v Speaker 1>And it's been in that downward spiral now for you know, um,

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<v Speaker 1>nearly nearly a year. So a downward spiral that's very

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<v Speaker 1>difficult to get out of. So how long is this

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<v Speaker 1>downward spiral and and what could happen? I mean, what

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<v Speaker 1>could the future of bed Beth and Beyond look like?

0:10:54.720 --> 0:10:57.440
<v Speaker 1>On the other side? Is there another side? Um? There

0:10:57.520 --> 0:10:59.960
<v Speaker 1>we have we have reported that our colleagues on the

0:11:00.040 --> 0:11:04.040
<v Speaker 1>kruptcy team have reported that liquidation is possible. So liquidation

0:11:04.120 --> 0:11:06.640
<v Speaker 1>meaning you know, Alla Barney's like a Barney's, you know,

0:11:06.679 --> 0:11:10.400
<v Speaker 1>it doesn't exist. Circuit City doesn't exist anymore. Um, towys Arrest,

0:11:10.440 --> 0:11:12.520
<v Speaker 1>at least in the US, doesn't exist anymore. We have

0:11:12.559 --> 0:11:15.520
<v Speaker 1>reported that that is possible because of the dire financial

0:11:15.559 --> 0:11:20.000
<v Speaker 1>situation that they're in. It's a it's a lot of

0:11:20.040 --> 0:11:22.280
<v Speaker 1>meme stock. But is there a winner if if people

0:11:22.280 --> 0:11:24.199
<v Speaker 1>can't go to bed Bath and Beyond or Bye Bye Baby?

0:11:24.280 --> 0:11:26.880
<v Speaker 1>Is it a company like Target? Is it Amazon? Who

0:11:26.920 --> 0:11:29.800
<v Speaker 1>could some winners be because people need this stuff? Yeah?

0:11:29.840 --> 0:11:31.200
<v Speaker 1>I think I think it's all. I think it's all

0:11:31.240 --> 0:11:34.400
<v Speaker 1>of the above. I mean, in in past retail bankruptcies,

0:11:34.840 --> 0:11:38.679
<v Speaker 1>there often hasn't been a huge jump at any one retailer.

0:11:38.720 --> 0:11:40.480
<v Speaker 1>You know, in Circuit City went out of went out

0:11:40.480 --> 0:11:42.800
<v Speaker 1>of business. It wasn't like best Buy saw a huge jump.

0:11:42.840 --> 0:11:46.280
<v Speaker 1>But because it's a slow decline of something where people

0:11:46.320 --> 0:11:48.520
<v Speaker 1>have already been going to those places anyway. Yeah. Yeah,

0:11:48.520 --> 0:11:50.360
<v Speaker 1>and sometimes people end up buying less. Like if you

0:11:50.360 --> 0:11:52.680
<v Speaker 1>you you buy more because you have a store near you,

0:11:52.720 --> 0:11:54.320
<v Speaker 1>And if you don't have that store near you, then

0:11:54.520 --> 0:11:56.640
<v Speaker 1>some of the demand actually just also dissipates. So there's

0:11:56.679 --> 0:11:58.920
<v Speaker 1>gonna be winners target Amazon. But I don't think none

0:11:58.920 --> 0:12:00.840
<v Speaker 1>of these companies are going to see the huge boosts

0:12:00.840 --> 0:12:02.559
<v Speaker 1>at all of the all of the traffic from bed

0:12:02.559 --> 0:12:04.760
<v Speaker 1>bath is going to go to them. Um, my apartment

0:12:04.840 --> 0:12:07.120
<v Speaker 1>is not so happy about this. Okay, so we got

0:12:07.120 --> 0:12:09.560
<v Speaker 1>a baby on the way is yeah, yeah, we got

0:12:09.640 --> 0:12:11.760
<v Speaker 1>a baby on the way, so we need bye bye baby.

0:12:11.840 --> 0:12:15.080
<v Speaker 1>And then my wife really likes face values, which is

0:12:15.160 --> 0:12:17.640
<v Speaker 1>part of the bed bathroom beyond ubrelative is it is?

0:12:17.720 --> 0:12:19.600
<v Speaker 1>And And look, I mean a lot of people are

0:12:19.600 --> 0:12:21.320
<v Speaker 1>not very happy, you know. I mean this was a

0:12:21.360 --> 0:12:25.960
<v Speaker 1>beloved brand. Um the famous coupons that drove that drove

0:12:26.000 --> 0:12:27.560
<v Speaker 1>a lot of people to the to the store. And

0:12:27.600 --> 0:12:30.440
<v Speaker 1>also you know there's a lot of um in it's heyday.

0:12:30.480 --> 0:12:33.439
<v Speaker 1>In two thousand seventeen, the company had sixty five thousand employees.

0:12:33.679 --> 0:12:35.760
<v Speaker 1>Now it has less than thirty thousand. But those you know,

0:12:35.800 --> 0:12:37.800
<v Speaker 1>those people's jobs are at risk. We've written about how

0:12:37.800 --> 0:12:40.640
<v Speaker 1>their severance payments, they haven't they haven't received their severance

0:12:40.679 --> 0:12:43.040
<v Speaker 1>pay so there's also a lot of workers and employees

0:12:43.040 --> 0:12:45.040
<v Speaker 1>who are at risk here. I mean, I do wonder

0:12:45.280 --> 0:12:48.120
<v Speaker 1>with you know, the growth at things like targeting other

0:12:48.200 --> 0:12:50.280
<v Speaker 1>stores where and and online where it is so easy

0:12:50.320 --> 0:12:51.800
<v Speaker 1>to get so many of the goods that they offer

0:12:51.920 --> 0:12:54.120
<v Speaker 1>and get them pretty quickly. Is it just a case

0:12:54.160 --> 0:12:56.679
<v Speaker 1>we didn't need that model. I'm curious what retail experts

0:12:56.679 --> 0:12:58.800
<v Speaker 1>have said that just that model was just not needed

0:12:58.840 --> 0:13:00.840
<v Speaker 1>anymore because it was kind of a one stop shopping

0:13:00.880 --> 0:13:03.880
<v Speaker 1>for a lot of different things, right. I think that

0:13:03.960 --> 0:13:06.800
<v Speaker 1>it at least what what what I have heard of

0:13:06.880 --> 0:13:09.080
<v Speaker 1>what I have learned is that it's not necessarily that

0:13:09.160 --> 0:13:12.360
<v Speaker 1>the model wasn't needed, is that the model wasn't well executed.

0:13:12.400 --> 0:13:15.040
<v Speaker 1>I think there is still space for this model. And

0:13:15.040 --> 0:13:17.600
<v Speaker 1>in terms of what might happen next, you might see

0:13:17.679 --> 0:13:20.720
<v Speaker 1>the company might go into bankruptcy. Then sometimes like companies

0:13:20.760 --> 0:13:23.200
<v Speaker 1>will buy up the intellectual property and you'll have an

0:13:23.240 --> 0:13:26.040
<v Speaker 1>online version of Bad Bath and beyond. That happened with

0:13:26.080 --> 0:13:28.320
<v Speaker 1>Peer one, for example. There's no more Peer one stores left,

0:13:28.600 --> 0:13:29.920
<v Speaker 1>but there's a peer one dot com and and and

0:13:30.120 --> 0:13:33.960
<v Speaker 1>the toys arrus So, So how loved is not baby,

0:13:34.080 --> 0:13:38.000
<v Speaker 1>is bad, bath and beyond apart from the Master Households,

0:13:39.559 --> 0:13:41.120
<v Speaker 1>and I think you know it was it was one

0:13:41.160 --> 0:13:43.440
<v Speaker 1>of the biggest home goods you know, still still is

0:13:43.440 --> 0:13:45.680
<v Speaker 1>one of the biggest home good stores in in in

0:13:45.800 --> 0:13:48.000
<v Speaker 1>the US. So I think that it is it is

0:13:48.080 --> 0:13:50.800
<v Speaker 1>quite beloved, And I think that's what you know, creditors

0:13:50.800 --> 0:13:53.320
<v Speaker 1>in the company right now are trying to hash out

0:13:53.360 --> 0:13:55.000
<v Speaker 1>like how how much has it loved and how much

0:13:55.040 --> 0:13:58.320
<v Speaker 1>is that going to um pay? Essentially how much money

0:13:58.360 --> 0:14:00.640
<v Speaker 1>do they have before they've got to do something. I

0:14:00.679 --> 0:14:04.200
<v Speaker 1>mean they are they are actively in bankruptcy talks as

0:14:04.679 --> 0:14:06.959
<v Speaker 1>as as as we are speaking, there in bankruptcy. There

0:14:07.000 --> 0:14:09.400
<v Speaker 1>in bankruptcy talks. So they've been burning burning cash for

0:14:09.440 --> 0:14:11.720
<v Speaker 1>about a year and you know, in the last quarter

0:14:11.960 --> 0:14:15.720
<v Speaker 1>sales fell about year over year. I mean that that's

0:14:15.800 --> 0:14:18.000
<v Speaker 1>that's that's a ton all right, We're gonna leave it

0:14:18.000 --> 0:14:20.400
<v Speaker 1>on that note. Jeanette, Thank you so much. Janette Newman,

0:14:20.480 --> 0:14:23.000
<v Speaker 1>she is US luxury retail and personal care industries reporter

0:14:23.040 --> 0:14:27.080
<v Speaker 1>at Bloomberg News. You're listening to the Bloomberg Business Week podcast.

0:14:27.320 --> 0:14:29.840
<v Speaker 1>Catch us live week days from two to five pm

0:14:29.880 --> 0:14:33.800
<v Speaker 1>Eastern on Bloomberg Radio, The Bloomberg Business and and You Too.

0:14:34.000 --> 0:14:37.120
<v Speaker 1>You can also listen live to our flagship New York station,

0:14:37.520 --> 0:14:42.600
<v Speaker 1>Just Say Alexa play Bloomberg, e Love and Dirty. Billionaire

0:14:42.640 --> 0:14:46.000
<v Speaker 1>b Tamadonni is having a rough start to three. The

0:14:46.040 --> 0:14:49.400
<v Speaker 1>Indian industrial Tycoons Empire has taken a roughly one billion

0:14:49.400 --> 0:14:52.120
<v Speaker 1>dollar hit in a matter of days following accusations of

0:14:52.160 --> 0:14:56.240
<v Speaker 1>financial wrongdoing from an American activist short seller that is

0:14:56.240 --> 0:14:59.800
<v Speaker 1>the subject of this week's cover story. Nathan Anderson of

0:15:00.000 --> 0:15:03.280
<v Speaker 1>Dedenburgh Research says the Donnie is quote pulling the largest

0:15:03.360 --> 0:15:07.280
<v Speaker 1>Cohn in corporate history. Among Anderson's key allegations is that

0:15:07.360 --> 0:15:09.920
<v Speaker 1>people close to Donnie have used a network of obscure

0:15:10.040 --> 0:15:12.960
<v Speaker 1>offshore shell companies to buy and sell shares in his

0:15:13.040 --> 0:15:16.280
<v Speaker 1>businesses in order to make them appear more valuable. Well

0:15:16.280 --> 0:15:18.840
<v Speaker 1>to help us break down a Donnie Group's rapid rise

0:15:18.880 --> 0:15:21.680
<v Speaker 1>in value and why Hindenburg Research is accusing it of

0:15:21.840 --> 0:15:25.760
<v Speaker 1>widespread misconduct, which the billionaire himself denies. Returned out to

0:15:25.760 --> 0:15:29.040
<v Speaker 1>Bloomberg Business Week, Markets and Finance editor Pat mcneer and

0:15:29.080 --> 0:15:32.320
<v Speaker 1>Bloomberg News Wealth reporter unders melon. Now, Pat, I do

0:15:32.360 --> 0:15:34.240
<v Speaker 1>want to start with you help us at the stage here,

0:15:34.240 --> 0:15:39.480
<v Speaker 1>because I think Guatamadonni necessarily was not a household name. Um,

0:15:39.520 --> 0:15:41.120
<v Speaker 1>how did he become one of the world's richest men

0:15:41.160 --> 0:15:43.120
<v Speaker 1>and who is he? Well, he may not be a

0:15:43.120 --> 0:15:45.320
<v Speaker 1>household name in the United States, but he is absolutely

0:15:45.360 --> 0:15:47.880
<v Speaker 1>a household name in India. Um. He's probably one of

0:15:47.920 --> 0:15:51.080
<v Speaker 1>the most important businessmen in modern India. Almost anything that

0:15:51.120 --> 0:15:54.840
<v Speaker 1>you might do in India, his businesses will touch your life.

0:15:55.000 --> 0:15:58.280
<v Speaker 1>So he's built this enormous empire. But a lot of

0:15:58.320 --> 0:16:04.160
<v Speaker 1>the growth in its value really came during the global

0:16:04.280 --> 0:16:08.000
<v Speaker 1>everything rally that began with the snap back from the

0:16:08.080 --> 0:16:12.000
<v Speaker 1>COVID crash. But it just kept going even through two

0:16:12.080 --> 0:16:13.720
<v Speaker 1>You just like when you when you do a chart,

0:16:13.760 --> 0:16:16.480
<v Speaker 1>you just see it just going like hockey stick. Um.

0:16:16.520 --> 0:16:19.000
<v Speaker 1>But then also just even in two is like global

0:16:19.040 --> 0:16:22.000
<v Speaker 1>markets were falling, this one's still just going up, up,

0:16:22.080 --> 0:16:25.080
<v Speaker 1>up and up. So uh, he's become sort of this

0:16:25.160 --> 0:16:28.000
<v Speaker 1>like very visible global success story, you know, and he

0:16:28.040 --> 0:16:31.080
<v Speaker 1>starts coming on the radar of even people you know

0:16:31.200 --> 0:16:33.200
<v Speaker 1>outside of India. He may not be a consumer household

0:16:33.280 --> 0:16:36.040
<v Speaker 1>name but if you're like watching as Andres does, he

0:16:36.160 --> 0:16:38.400
<v Speaker 1>is now beginning to like, you know, top every league

0:16:38.400 --> 0:16:40.520
<v Speaker 1>table that you can see. I mean, this was Asia's

0:16:40.600 --> 0:16:43.480
<v Speaker 1>richest man, India's richest man. He was one of the

0:16:43.560 --> 0:16:46.120
<v Speaker 1>richest people in the world. Anders come on in on

0:16:46.160 --> 0:16:48.120
<v Speaker 1>it because he was also a man who seemed to

0:16:48.360 --> 0:16:50.920
<v Speaker 1>like his privacy and kind of stay out of the limelight.

0:16:51.040 --> 0:16:52.800
<v Speaker 1>Talk to us a little bit more about his empire

0:16:52.840 --> 0:16:57.800
<v Speaker 1>and then the allegations by Hindenburg. Yeah, he definitely has

0:16:58.280 --> 0:17:02.760
<v Speaker 1>tended to stable of the radar until recent years. And

0:17:03.200 --> 0:17:07.040
<v Speaker 1>his empire really is one that touches a lot of

0:17:07.359 --> 0:17:10.239
<v Speaker 1>citizens in India every day. He owns a series of

0:17:10.600 --> 0:17:16.080
<v Speaker 1>infrastructure companies that that all hang together in when one conglomerate.

0:17:16.160 --> 0:17:19.280
<v Speaker 1>So everything from coal mines to power plants, to power lines,

0:17:19.400 --> 0:17:25.080
<v Speaker 1>to cements, production facilities and data storage centers. And he's

0:17:25.080 --> 0:17:30.000
<v Speaker 1>getting into media and he owns food companies. So it's

0:17:30.280 --> 0:17:34.840
<v Speaker 1>things that touch lots of Indian citizens every day. And

0:17:35.280 --> 0:17:39.680
<v Speaker 1>he sort of came onto the scene internationally two when

0:17:39.760 --> 0:17:43.040
<v Speaker 1>things started falling, he just really went off the church

0:17:43.280 --> 0:17:45.680
<v Speaker 1>that shares of his companies just went up, up up,

0:17:46.359 --> 0:17:48.439
<v Speaker 1>and all of a sudden he was the second richest

0:17:48.440 --> 0:17:51.359
<v Speaker 1>man in the world in September last year, which was

0:17:52.080 --> 0:17:55.439
<v Speaker 1>just quite surprising to see because the rice was it

0:17:55.560 --> 0:17:59.840
<v Speaker 1>was just so incredibly baffling, especially for infrastructure companies, which

0:18:00.200 --> 0:18:03.880
<v Speaker 1>don't really tend to have those kinds of rich valuations,

0:18:03.920 --> 0:18:07.800
<v Speaker 1>and that piqued a lot of interest among people who said,

0:18:07.840 --> 0:18:10.880
<v Speaker 1>this just doesn't make sense. It's too good to be true.

0:18:10.960 --> 0:18:15.000
<v Speaker 1>These financials just can't be they can't be real. There's

0:18:15.040 --> 0:18:19.679
<v Speaker 1>been whispers and news reports in India for quite a

0:18:19.680 --> 0:18:24.520
<v Speaker 1>few years about various aspects of the finances of his companies,

0:18:25.240 --> 0:18:28.679
<v Speaker 1>but nothing really had happened. But that obviously changed a

0:18:28.720 --> 0:18:32.720
<v Speaker 1>couple of weeks ago when Hindenberg Research put out their

0:18:32.920 --> 0:18:36.280
<v Speaker 1>Hunter Page note, sort of aggregating a lot of what

0:18:36.359 --> 0:18:39.280
<v Speaker 1>had been out there already and then dove deeper into

0:18:39.320 --> 0:18:43.159
<v Speaker 1>certain aspects. And most people in India, i think it's

0:18:43.200 --> 0:18:46.560
<v Speaker 1>safe to say, expected that nothing would really happen. But

0:18:46.760 --> 0:18:50.040
<v Speaker 1>the shares of his companies started falling, and then they

0:18:50.080 --> 0:18:53.439
<v Speaker 1>just fell and fell and fell. Andrews we as we

0:18:53.440 --> 0:18:55.640
<v Speaker 1>were preparing this story and it comes it comes through

0:18:55.680 --> 0:18:58.400
<v Speaker 1>so well. In your piece, Um talked a lot about

0:18:58.440 --> 0:19:01.960
<v Speaker 1>kind of a culture clash between in UM Corporate India

0:19:02.280 --> 0:19:06.080
<v Speaker 1>and UM sort of it's suddenly it got big enough

0:19:06.400 --> 0:19:09.480
<v Speaker 1>that it met the markets and the end of the

0:19:09.520 --> 0:19:15.280
<v Speaker 1>way that people operate in UH New York and London

0:19:15.320 --> 0:19:17.960
<v Speaker 1>and other financial markets, and it suddenly met this kind

0:19:18.000 --> 0:19:23.439
<v Speaker 1>of brass knuckles culture of shorts UM. And can you

0:19:23.480 --> 0:19:26.160
<v Speaker 1>just talk a little bit about sort of like how

0:19:26.160 --> 0:19:29.679
<v Speaker 1>that's played out. Yeah. So one of the unique aspects

0:19:30.800 --> 0:19:36.440
<v Speaker 1>with gout Madani's group of companies is that it's it's

0:19:36.600 --> 0:19:40.480
<v Speaker 1>built sort of like a traditional Indian family conglomerate, which

0:19:40.520 --> 0:19:45.760
<v Speaker 1>is UM a series of businesses that that family that

0:19:45.920 --> 0:19:48.760
<v Speaker 1>it's sort of like a group of businesses that a

0:19:48.760 --> 0:19:53.760
<v Speaker 1>family builds over time, and they tied together sometimes in

0:19:53.840 --> 0:19:56.960
<v Speaker 1>some ways, and and you can help support each other

0:19:57.040 --> 0:20:00.119
<v Speaker 1>financially when needed, and you can move personnel between in

0:20:00.200 --> 0:20:03.760
<v Speaker 1>them UM. And this has been it has a long

0:20:03.840 --> 0:20:08.320
<v Speaker 1>storied history in the Indian business culture in the United States.

0:20:08.320 --> 0:20:10.680
<v Speaker 1>They used to be common back in the day. They

0:20:10.720 --> 0:20:15.520
<v Speaker 1>are much less so now. UM. And one thing that

0:20:15.680 --> 0:20:18.399
<v Speaker 1>people that I talked to ahead of writing the story

0:20:18.400 --> 0:20:22.000
<v Speaker 1>you pointed out to me was that within these conglomerates,

0:20:22.800 --> 0:20:25.920
<v Speaker 1>historically there has tended to be quite a bit of

0:20:27.800 --> 0:20:32.080
<v Speaker 1>really related party transactions and money being moved between different

0:20:32.119 --> 0:20:37.959
<v Speaker 1>parts of of the conglomerate. And um. Sometimes that might

0:20:38.040 --> 0:20:40.520
<v Speaker 1>have been done in ways that others would not pick

0:20:40.600 --> 0:20:44.240
<v Speaker 1>up on, or that security lawyers maybe would frown upon

0:20:44.440 --> 0:20:48.119
<v Speaker 1>because it was sort of a family affair and UM

0:20:48.920 --> 0:20:52.040
<v Speaker 1>and that's something that some people are told to stressed

0:20:52.080 --> 0:20:56.399
<v Speaker 1>that here you have a certain culture of doing business,

0:20:56.440 --> 0:20:59.040
<v Speaker 1>a certain way of doing business that has worked extremely

0:20:59.080 --> 0:21:02.919
<v Speaker 1>well for the country over a really long time, that

0:21:03.119 --> 0:21:10.199
<v Speaker 1>is now clashing with how things are done in the

0:21:10.200 --> 0:21:13.280
<v Speaker 1>financial centers of capital like New York and London, where

0:21:13.720 --> 0:21:16.760
<v Speaker 1>the culture is very different. Most companies tend to have

0:21:16.800 --> 0:21:20.200
<v Speaker 1>a really broad shareholder base and not be controlled by family.

0:21:20.880 --> 0:21:24.800
<v Speaker 1>Boards tend to not be stacked by family members, executive

0:21:24.880 --> 0:21:28.320
<v Speaker 1>roles tend to not be stacked by family members. UM.

0:21:28.440 --> 0:21:32.639
<v Speaker 1>And a lot of people in India are feeling a

0:21:32.680 --> 0:21:39.000
<v Speaker 1>sense of frustration, I think because they feel like people

0:21:39.040 --> 0:21:41.800
<v Speaker 1>in the West just look at this kind of corporate

0:21:41.800 --> 0:21:45.800
<v Speaker 1>structure and think that there's something inherently suspicious with it,

0:21:46.440 --> 0:21:49.760
<v Speaker 1>when in reality it's it's just a it's a slightly

0:21:49.800 --> 0:21:53.080
<v Speaker 1>different way of just looking at how business is done

0:21:53.080 --> 0:21:55.960
<v Speaker 1>and how priorities are set. The other thing I just

0:21:56.000 --> 0:21:59.159
<v Speaker 1>want to under I think another layer that you do

0:21:59.240 --> 0:22:03.520
<v Speaker 1>so well in your reporting is the connection between India,

0:22:03.560 --> 0:22:08.520
<v Speaker 1>the country, India, the Prime Minister and a Donnie Right.

0:22:08.640 --> 0:22:14.280
<v Speaker 1>The relationship just seems very close. Yes, Donnie and Prime

0:22:14.280 --> 0:22:18.000
<v Speaker 1>Minister and round Remodi have known each other for twenty years.

0:22:18.160 --> 0:22:22.760
<v Speaker 1>And people that knowing me a well, they say that

0:22:22.800 --> 0:22:25.920
<v Speaker 1>these two are are quite close and their goals are

0:22:26.040 --> 0:22:29.080
<v Speaker 1>aligned and they have benefited from each other. And in

0:22:29.119 --> 0:22:33.240
<v Speaker 1>that vein, Donnie has especially in recent years taking on

0:22:33.359 --> 0:22:38.800
<v Speaker 1>a really strong profile of trying to link himself and

0:22:38.960 --> 0:22:45.160
<v Speaker 1>his company with the future UM and the success of India.

0:22:45.600 --> 0:22:47.919
<v Speaker 1>And that's also something that is pushed really hard on

0:22:48.000 --> 0:22:50.479
<v Speaker 1>now that the company is under attacked by a New

0:22:50.520 --> 0:22:52.760
<v Speaker 1>York short seller. Well, it's a great deep dive and

0:22:52.760 --> 0:22:55.000
<v Speaker 1>I feel like there's so much information that really gives

0:22:55.080 --> 0:22:57.760
<v Speaker 1>us a much clearer picture of who this this individual

0:22:57.880 --> 0:22:59.840
<v Speaker 1>is and what's going on in it. And it is

0:23:00.080 --> 0:23:02.399
<v Speaker 1>over as we know, because the share price continuing to

0:23:02.400 --> 0:23:05.960
<v Speaker 1>be under pressure. UH this week our thanks to Bloomberg

0:23:05.960 --> 0:23:08.879
<v Speaker 1>News Wealth reporter Anders Mellin and Bloomberg Business Week Markets

0:23:08.880 --> 0:23:13.560
<v Speaker 1>and Financial editor Pat reagni Er. You're listening to the

0:23:13.600 --> 0:23:17.360
<v Speaker 1>Bloomberg Business Week podcast. Catch us live week days from

0:23:17.359 --> 0:23:20.800
<v Speaker 1>two to five pm Easter on Bloomberg Radio, The Bloomberg

0:23:20.800 --> 0:23:23.960
<v Speaker 1>Business and You too. You can also listen live to

0:23:24.000 --> 0:23:28.159
<v Speaker 1>our flagship New York station, Just Say Alexa Play Bloomberg

0:23:28.160 --> 0:23:31.800
<v Speaker 1>e Love and Dirty. We love talking about the travel

0:23:31.880 --> 0:23:34.560
<v Speaker 1>industry and we love talking about it with our next guest, Um.

0:23:34.600 --> 0:23:36.600
<v Speaker 1>We are, though, keeping a watch on shares of Chicago.

0:23:36.680 --> 0:23:38.640
<v Speaker 1>We've seen some selling, a bit of a sell off

0:23:38.640 --> 0:23:41.679
<v Speaker 1>today following the company's latest quarterly update. Stock is up,

0:23:41.680 --> 0:23:45.000
<v Speaker 1>though almost thirty percent year to date, still down more

0:23:45.040 --> 0:23:47.960
<v Speaker 1>than sixty from the high back in March of one.

0:23:48.000 --> 0:23:50.200
<v Speaker 1>Like a lot of names in the space, fourth quarter

0:23:50.280 --> 0:23:53.520
<v Speaker 1>earnings for the company per share missing the average analyst estimates.

0:23:53.520 --> 0:23:56.240
<v Speaker 1>But let's talk about the business. Let's take a look

0:23:56.520 --> 0:23:58.879
<v Speaker 1>at what's happening going forward. Great to be checking in

0:23:58.920 --> 0:24:02.000
<v Speaker 1>again with Axel Hey for his CEO at Travago joining

0:24:02.119 --> 0:24:06.239
<v Speaker 1>Spa Zoom from Dusseldorf. Dusseldorf, I can't even say it.

0:24:06.640 --> 0:24:10.680
<v Speaker 1>Don't ask me to say Matt Miller is listening and say,

0:24:10.720 --> 0:24:12.560
<v Speaker 1>oh my god, mass or can't you get it right,

0:24:12.680 --> 0:24:15.479
<v Speaker 1>I'm checked, but I'm not German. All right. Um axel,

0:24:15.560 --> 0:24:17.080
<v Speaker 1>good to have you here with Mike and myself. How

0:24:17.119 --> 0:24:20.760
<v Speaker 1>are you? I'm well, how are you? I'm doing okay,

0:24:20.760 --> 0:24:23.040
<v Speaker 1>I'm doing okay. Talk to us about the quarter. First

0:24:23.080 --> 0:24:27.280
<v Speaker 1>of all, I mean, the culture has been has been great.

0:24:27.320 --> 0:24:29.040
<v Speaker 1>I mean, let's be honest, I mean, the whole year

0:24:29.119 --> 0:24:32.760
<v Speaker 1>has been has been terrific. If you're in travel, Um,

0:24:32.800 --> 0:24:34.800
<v Speaker 1>all of us wanted to travel and we have the

0:24:34.840 --> 0:24:38.080
<v Speaker 1>money to spend it, so we we haven't traveled us

0:24:38.119 --> 0:24:40.760
<v Speaker 1>as we used to for for two years. We haven't

0:24:40.800 --> 0:24:45.040
<v Speaker 1>died in wine for two years. So um. Yeah. Two

0:24:45.119 --> 0:24:48.400
<v Speaker 1>was the of the travel industry act. As we get

0:24:48.440 --> 0:24:53.040
<v Speaker 1>back into sort of hopefully a more normal economic cycle

0:24:53.680 --> 0:24:57.480
<v Speaker 1>with the pandemic disruptions in the ver view mirror, how

0:24:57.520 --> 0:25:01.320
<v Speaker 1>do you think travel fits into that cycle? Is would

0:25:01.359 --> 0:25:04.120
<v Speaker 1>weakness and travel be a leading indicator of the economy,

0:25:04.119 --> 0:25:06.560
<v Speaker 1>do you think? Or does it weeken along, you know,

0:25:06.720 --> 0:25:12.720
<v Speaker 1>coincidentally with the economy. It's difficult to say. I mean,

0:25:13.760 --> 0:25:15.639
<v Speaker 1>I mean from from our perspective, and one of the

0:25:15.720 --> 0:25:18.560
<v Speaker 1>key learnings has been of the pandemic has been that

0:25:19.240 --> 0:25:21.520
<v Speaker 1>travel is not really luxury. Good but it's it's a

0:25:21.560 --> 0:25:25.159
<v Speaker 1>basic necessity. I guess we've all experienced it, sitting in

0:25:25.200 --> 0:25:28.240
<v Speaker 1>lockdown and not being able to get a break and

0:25:28.280 --> 0:25:30.159
<v Speaker 1>break out of our daily routine. And I think a

0:25:30.160 --> 0:25:33.159
<v Speaker 1>lot of people have experienced that. So so we do

0:25:33.280 --> 0:25:36.720
<v Speaker 1>think that that people will continue to travel. Irrespective of

0:25:36.760 --> 0:25:40.800
<v Speaker 1>the economic scenario that you're thinking of. They will, um,

0:25:40.880 --> 0:25:43.760
<v Speaker 1>you know, save money on traveling to a greater or

0:25:43.840 --> 0:25:47.480
<v Speaker 1>lesser extent, depending on how much money is available. But

0:25:47.840 --> 0:25:50.200
<v Speaker 1>we do believe that people will continue to travel. Tell

0:25:50.240 --> 0:25:52.399
<v Speaker 1>us what the trends that you're seeing so far, that

0:25:52.440 --> 0:25:54.960
<v Speaker 1>you saw in the last quarter and coming up, uh,

0:25:54.960 --> 0:25:57.200
<v Speaker 1>and going into this new year. So far we're already

0:25:57.240 --> 0:25:59.960
<v Speaker 1>one a month and a week or so in here.

0:26:00.000 --> 0:26:03.160
<v Speaker 1>Who's traveling? What kind of trips are they taking? Um?

0:26:03.200 --> 0:26:06.000
<v Speaker 1>Are they comfortable paying the prices offer? Are they're looking

0:26:06.000 --> 0:26:09.440
<v Speaker 1>for better deals? What's going on? Yeah, I mean, let's

0:26:09.440 --> 0:26:12.159
<v Speaker 1>start with the with the obvious. Prices are up also,

0:26:12.280 --> 0:26:15.560
<v Speaker 1>so traveling is expensive, and it would stay expensive and

0:26:15.680 --> 0:26:18.200
<v Speaker 1>prices continue to go up if you look at the

0:26:18.240 --> 0:26:21.600
<v Speaker 1>year of the year trends, um and UM. And I guess,

0:26:21.600 --> 0:26:24.719
<v Speaker 1>like like everything else, it's getting more expensive and and

0:26:24.840 --> 0:26:27.480
<v Speaker 1>like with everything else that that is getting more expensive,

0:26:27.880 --> 0:26:30.920
<v Speaker 1>travelers are trying to save money and and what they

0:26:30.920 --> 0:26:34.240
<v Speaker 1>are doing, and we've we've seen some indications of that

0:26:34.840 --> 0:26:37.840
<v Speaker 1>in queue four A ready UM. The first first lever

0:26:37.960 --> 0:26:41.000
<v Speaker 1>that travelers are pulling is they are going to different locations,

0:26:41.280 --> 0:26:45.560
<v Speaker 1>so UM cheaper locations, not not the top cities, but

0:26:45.680 --> 0:26:49.600
<v Speaker 1>more um, more hidden gems UM. The second lever that

0:26:49.720 --> 0:26:53.520
<v Speaker 1>travelers are pulling is they're trading down on hotel categories

0:26:53.600 --> 0:26:56.040
<v Speaker 1>and so two to three stars are gaining and share

0:26:56.240 --> 0:27:01.240
<v Speaker 1>four to five are are losing. And and the last

0:27:01.240 --> 0:27:07.119
<v Speaker 1>one is that the people um cut the overall length

0:27:07.160 --> 0:27:10.199
<v Speaker 1>of stay UM to save some money. But we do

0:27:10.320 --> 0:27:14.040
<v Speaker 1>expect that despite all these these trends that we are seeing,

0:27:14.080 --> 0:27:18.120
<v Speaker 1>that the overall market will be up in three act.

0:27:18.119 --> 0:27:21.480
<v Speaker 1>So I'm wondering how all these geopolitical issues play into

0:27:21.760 --> 0:27:24.480
<v Speaker 1>your business and the travel industry. I mean, obviously there's

0:27:24.600 --> 0:27:28.800
<v Speaker 1>Russia and Ukraine. Also a lot of unrest now in

0:27:29.080 --> 0:27:33.280
<v Speaker 1>South America and prove some you know, political uncertainty in Brazil.

0:27:33.800 --> 0:27:35.479
<v Speaker 1>Is any of that showing up in the numbers? Yet?

0:27:35.520 --> 0:27:41.080
<v Speaker 1>Are people avoiding some of these South American destinations? Yeah? Absolutely,

0:27:41.160 --> 0:27:42.880
<v Speaker 1>I mean that's that's to be honest, that's the beauty

0:27:42.920 --> 0:27:45.960
<v Speaker 1>of running a global business. You always have a few

0:27:46.000 --> 0:27:50.520
<v Speaker 1>markets where you have some turmoil, um and and and

0:27:50.600 --> 0:27:53.159
<v Speaker 1>stability is not good for travel, so you want to

0:27:53.160 --> 0:27:56.040
<v Speaker 1>make sure that you can get somewhere, have a good

0:27:56.040 --> 0:28:00.639
<v Speaker 1>experience and also get back safely. Um and I mean

0:28:00.800 --> 0:28:04.160
<v Speaker 1>Ukraine and Russia is obviously has been has been a

0:28:04.280 --> 0:28:07.760
<v Speaker 1>very very severe disruption and it's obviously a terrible situation

0:28:08.320 --> 0:28:11.280
<v Speaker 1>where you have the whole markets that that are they're

0:28:11.320 --> 0:28:13.560
<v Speaker 1>not traveling and where you can't travel to. But also

0:28:14.200 --> 0:28:17.760
<v Speaker 1>um disruption of some of the flight routes, etcetera. UM.

0:28:17.840 --> 0:28:21.480
<v Speaker 1>On a global level, it's usually evening out. But yeah,

0:28:21.520 --> 0:28:24.240
<v Speaker 1>you can clearly see the immediate impact of a crisis

0:28:24.280 --> 0:28:28.159
<v Speaker 1>of our uncertainty in in any given regional country. Accell.

0:28:28.200 --> 0:28:30.920
<v Speaker 1>What about Europe specifically, which you know so well, you guys,

0:28:30.960 --> 0:28:34.000
<v Speaker 1>I think your biggest chunk of revenues essentially comes from Europe.

0:28:34.000 --> 0:28:37.200
<v Speaker 1>So what would you from what you're seeing, um, what's

0:28:37.240 --> 0:28:41.720
<v Speaker 1>going on in Europe and that economy specifically, Yeah, I

0:28:41.720 --> 0:28:44.800
<v Speaker 1>mean it's it's Europe is a bit difficult to say

0:28:44.840 --> 0:28:48.959
<v Speaker 1>because one one key, um key assumption that you need

0:28:49.040 --> 0:28:51.760
<v Speaker 1>to have to to predict the year is where you

0:28:51.800 --> 0:28:54.240
<v Speaker 1>go for a soft or heard landing, And the discussion

0:28:54.240 --> 0:28:56.880
<v Speaker 1>in Europe is the same then in the US it

0:28:56.920 --> 0:28:59.520
<v Speaker 1>will all depend on on the central bank and whether

0:28:59.560 --> 0:29:03.240
<v Speaker 1>the economies will dip into a recession. UM. I think

0:29:03.240 --> 0:29:06.040
<v Speaker 1>that the hour of view on Europe is slightly more

0:29:06.040 --> 0:29:08.280
<v Speaker 1>negative than the US. So we think it's it's more

0:29:08.320 --> 0:29:11.760
<v Speaker 1>likely that you will have a hard landing than a

0:29:11.840 --> 0:29:15.680
<v Speaker 1>soft landing UM in the US. But even in that scenario,

0:29:15.840 --> 0:29:18.239
<v Speaker 1>we do expect the overall travel span to be up.

0:29:19.600 --> 0:29:23.240
<v Speaker 1>So actually, any big plans for three, any any changes

0:29:23.280 --> 0:29:27.160
<v Speaker 1>coming to the company, or any expansion plans. Yeah, I

0:29:27.160 --> 0:29:29.520
<v Speaker 1>mean you always have to have to have plans, and

0:29:29.840 --> 0:29:33.400
<v Speaker 1>I guess you you always have to prepare for, you know,

0:29:33.440 --> 0:29:37.360
<v Speaker 1>the even difficult times and and think about the opportunity

0:29:37.400 --> 0:29:40.640
<v Speaker 1>that's arising from it. So the the plan or the

0:29:40.680 --> 0:29:43.840
<v Speaker 1>initiative that we are most excited about is our direct

0:29:43.840 --> 0:29:47.960
<v Speaker 1>hotel initiative. And the reason why that is is UM,

0:29:48.040 --> 0:29:51.880
<v Speaker 1>when you think about the online accommodation industry, UM, we

0:29:51.920 --> 0:29:54.480
<v Speaker 1>think that the biggest opportunity that is that is out

0:29:54.480 --> 0:29:59.200
<v Speaker 1>there is to connect travelers directly with hotels UM and

0:29:59.240 --> 0:30:02.120
<v Speaker 1>allow have a list in a very convenient way to

0:30:02.200 --> 0:30:07.400
<v Speaker 1>book all the potential hotels directly from one side, UM

0:30:07.480 --> 0:30:11.200
<v Speaker 1>interacting directly with the hotelier, and for the hotelier to

0:30:11.320 --> 0:30:15.280
<v Speaker 1>interact directly with the the traveler and customize their offering,

0:30:15.800 --> 0:30:19.400
<v Speaker 1>whereas most of the bookings are either in a very

0:30:19.400 --> 0:30:22.400
<v Speaker 1>inconvenient way where you go to the hotel website directly

0:30:22.480 --> 0:30:25.840
<v Speaker 1>or have to call them or are going through O, T,

0:30:26.000 --> 0:30:29.040
<v Speaker 1>A S. And UM. Yeah, I mean that's why why

0:30:29.160 --> 0:30:32.960
<v Speaker 1>we have been pushing UM quite aggressively now in in

0:30:33.040 --> 0:30:37.360
<v Speaker 1>a test markets are coverage of direct hotel access UM.

0:30:37.720 --> 0:30:39.840
<v Speaker 1>We are now at fifty and we want to reach

0:30:39.880 --> 0:30:42.080
<v Speaker 1>eight percent by end of the year. And we do

0:30:42.160 --> 0:30:47.680
<v Speaker 1>believe that by offering this direct booking UM functionality on

0:30:47.680 --> 0:30:51.640
<v Speaker 1>our website, we complement our existing offer and and can

0:30:51.680 --> 0:30:54.360
<v Speaker 1>serve your travelers even better than we have done in

0:30:54.400 --> 0:30:56.520
<v Speaker 1>the past. Axtell help me out there. How does that

0:30:56.600 --> 0:31:01.080
<v Speaker 1>not kind of compete with what you already do? Yees?

0:31:01.160 --> 0:31:04.240
<v Speaker 1>So it's a bit different. Yeah, So our research shows

0:31:04.240 --> 0:31:07.560
<v Speaker 1>that twenty of travelers do want to book direct and

0:31:08.080 --> 0:31:10.640
<v Speaker 1>the other eight I mean want to book direct in

0:31:10.960 --> 0:31:15.120
<v Speaker 1>certain cases and UM I know, I'm just thinking about

0:31:15.160 --> 0:31:18.320
<v Speaker 1>myself when when my children were young, UM, I had

0:31:18.360 --> 0:31:21.160
<v Speaker 1>to book direct because I needed to adjacent rooms, which

0:31:21.280 --> 0:31:24.080
<v Speaker 1>I can't really book through an O t A. Whereas

0:31:24.080 --> 0:31:27.040
<v Speaker 1>when I was traveling for business, UM, I and a

0:31:27.040 --> 0:31:28.760
<v Speaker 1>lot of cases just went through an O t A.

0:31:28.840 --> 0:31:32.560
<v Speaker 1>It's easier to to cancel, it's easier to actually rebook

0:31:33.240 --> 0:31:36.479
<v Speaker 1>something else. So it's really it's it's complimentary to what

0:31:36.520 --> 0:31:39.160
<v Speaker 1>we are doing already. It's it's just making sure that

0:31:39.560 --> 0:31:43.920
<v Speaker 1>for every UM specific situation and for every trip, we

0:31:44.000 --> 0:31:48.480
<v Speaker 1>can serve the travelers as as well as possible. Excel. Uh,

0:31:48.720 --> 0:31:50.960
<v Speaker 1>spring break coming up, I've I've got a college daughter

0:31:51.080 --> 0:31:56.040
<v Speaker 1>is very excited. What are you thinking for springbreak? Easter season? UM?

0:31:56.120 --> 0:31:58.840
<v Speaker 1>Is it boom times in the travel industry again, I

0:31:58.840 --> 0:32:03.280
<v Speaker 1>know that's a very busy time for you. Absolutely, yeah,

0:32:03.520 --> 0:32:05.440
<v Speaker 1>for sure. So if you find a good deal, you

0:32:05.440 --> 0:32:08.680
<v Speaker 1>should lock it. UM and you, I guess you have

0:32:08.760 --> 0:32:11.760
<v Speaker 1>the usual suspect Vegas on top of the list. But

0:32:12.120 --> 0:32:15.520
<v Speaker 1>what is interesting from a US perspective that UM some

0:32:15.640 --> 0:32:18.920
<v Speaker 1>of the international destinations have actually made it back into

0:32:18.920 --> 0:32:23.240
<v Speaker 1>the top ten. So London, Paris and also Tokyo are

0:32:23.400 --> 0:32:27.560
<v Speaker 1>back to back to the spring bank destinations. Hey, just

0:32:27.640 --> 0:32:34.120
<v Speaker 1>quickly thirty seconds. Any signs of recession out there? Uh no,

0:32:34.240 --> 0:32:36.880
<v Speaker 1>I don't know. Not from our perspective, we think stopped landing,

0:32:37.160 --> 0:32:39.360
<v Speaker 1>stop landing really wild? And you are you getting all

0:32:39.400 --> 0:32:43.640
<v Speaker 1>the workers you need? Another twenty seconds? Um, yeah, for sure.

0:32:43.680 --> 0:32:46.080
<v Speaker 1>We've got a global brand recruit for globally and not

0:32:46.120 --> 0:32:48.640
<v Speaker 1>in Germany though. You have to go global. Yeah, no,

0:32:48.720 --> 0:32:51.080
<v Speaker 1>I remember you always talked about that. Hey, Axel, thank

0:32:51.080 --> 0:32:52.480
<v Speaker 1>you so much. I know it's a little later where

0:32:52.480 --> 0:32:55.040
<v Speaker 1>you are, and we really appreciate you joining us on

0:32:55.080 --> 0:32:57.840
<v Speaker 1>this Wednesday. Axel, he for He's the chief executive officer

0:32:57.840 --> 0:33:02.600
<v Speaker 1>over at Trovago, joining us from Dusseldorf, Germany. You're listening

0:33:02.640 --> 0:33:06.480
<v Speaker 1>to the Bloomberg Business Week podcast. Catch us live weekdays

0:33:06.480 --> 0:33:09.520
<v Speaker 1>from two to five pm Easter on Bloomberg Radio, the

0:33:09.560 --> 0:33:13.080
<v Speaker 1>Bloomberg Business Band, you two. You can also listen live

0:33:13.200 --> 0:33:17.480
<v Speaker 1>to our flagship New York station, Just say Alexa, play Bloomberg,

0:33:17.480 --> 0:33:20.760
<v Speaker 1>E Loove and Dirty Ian. One thing that we've been

0:33:20.800 --> 0:33:23.960
<v Speaker 1>talking a lot about robots, and I think this all

0:33:24.040 --> 0:33:27.480
<v Speaker 1>has to come with so much attention being paid once

0:33:27.520 --> 0:33:31.040
<v Speaker 1>again on artificial intelligence. We're gonna talk about that in

0:33:31.520 --> 0:33:34.200
<v Speaker 1>regards to Microsoft a little bit later on, but we're

0:33:34.240 --> 0:33:37.200
<v Speaker 1>just talking about robots getting smarter, what it means for

0:33:37.240 --> 0:33:39.520
<v Speaker 1>our jobs, what it means for our world at large,

0:33:40.000 --> 0:33:42.760
<v Speaker 1>and so, um, we did want to get into it

0:33:42.760 --> 0:33:45.680
<v Speaker 1>because a certain Bloomberg Opinion column definitely caught our attention.

0:33:45.880 --> 0:33:48.760
<v Speaker 1>Let's bring in Beth Coitch. She is, um someone who

0:33:48.800 --> 0:33:52.600
<v Speaker 1>covers corporate America for us here at Bloomberg Bloomberg Opinion specifically,

0:33:52.640 --> 0:33:55.960
<v Speaker 1>and she's here in our Bloomberg Interactive Broker's studio. Beth,

0:33:56.080 --> 0:33:59.520
<v Speaker 1>I do feel like all of a sudden, AI, artificial intelligence,

0:33:59.560 --> 0:34:02.520
<v Speaker 1>it's the new World's a girl, if you will. And

0:34:02.560 --> 0:34:04.480
<v Speaker 1>so now we're like, oh my god, oh my god,

0:34:04.520 --> 0:34:07.120
<v Speaker 1>what's gonna happen to our world? Um, In terms of

0:34:07.160 --> 0:34:10.080
<v Speaker 1>the corporate world, AI still is already a big part

0:34:10.160 --> 0:34:12.759
<v Speaker 1>of what goes on absolutely, and we've seen this for

0:34:12.760 --> 0:34:16.080
<v Speaker 1>a long time and human resources already, right, AI is

0:34:16.120 --> 0:34:19.040
<v Speaker 1>part of training, it's part of recruiting, it's part it's

0:34:19.040 --> 0:34:22.200
<v Speaker 1>part of hiring. UM. So I think how explained to

0:34:22.280 --> 0:34:24.320
<v Speaker 1>us how that is. Well. For example, if you submit

0:34:24.360 --> 0:34:26.960
<v Speaker 1>a resume, you might have a company might have a

0:34:27.000 --> 0:34:29.440
<v Speaker 1>system where it goes through and finds keywords. So if

0:34:29.480 --> 0:34:31.839
<v Speaker 1>you have those keywords, you get passed onto the next level.

0:34:31.880 --> 0:34:34.719
<v Speaker 1>So so we've already seen it sort of infiltrate parts

0:34:34.719 --> 0:34:37.959
<v Speaker 1>of the process. Well, you know, I'm picturing this Arnold

0:34:37.960 --> 0:34:41.560
<v Speaker 1>Schwarzenegger terminator coming to UH to fire me here, Beth.

0:34:41.680 --> 0:34:43.759
<v Speaker 1>But you know, how would it work? Would it be

0:34:43.760 --> 0:34:47.160
<v Speaker 1>a similar type of thing, just somehow the AI is

0:34:47.239 --> 0:34:49.759
<v Speaker 1>able to assess your performance better than a human, or

0:34:50.440 --> 0:34:54.759
<v Speaker 1>assess more employees in bulk better than a an HR manager. Yeah,

0:34:54.840 --> 0:34:56.600
<v Speaker 1>I mean I think it's we have to be careful here.

0:34:56.640 --> 0:34:58.560
<v Speaker 1>I don't think you know, an HR manager is going

0:34:58.600 --> 0:35:00.640
<v Speaker 1>to push a button and now will come the pink slips, right.

0:35:00.680 --> 0:35:02.480
<v Speaker 1>I think it's going to be a similar thing where

0:35:02.520 --> 0:35:04.839
<v Speaker 1>it will scan and maybe do a first pass, and

0:35:04.880 --> 0:35:08.080
<v Speaker 1>then a human will hopefully make the decisions. Of course,

0:35:08.120 --> 0:35:11.160
<v Speaker 1>I'm sure some companies will try to rely solely on

0:35:11.440 --> 0:35:13.960
<v Speaker 1>AI and algorithms. I'm not sure that's the best idea.

0:35:14.200 --> 0:35:15.919
<v Speaker 1>I have to say. When I was reading through your story,

0:35:15.960 --> 0:35:17.399
<v Speaker 1>one thing I thought about when I did a deep

0:35:17.440 --> 0:35:20.520
<v Speaker 1>dive on UPS a few years back. Um, excuse me,

0:35:20.680 --> 0:35:22.799
<v Speaker 1>and I went out with the driver and you know,

0:35:22.960 --> 0:35:26.040
<v Speaker 1>they're inputting data, picking up packages, delivering packages. I mean

0:35:26.040 --> 0:35:29.600
<v Speaker 1>there's a lot of information about that individual's day in

0:35:29.719 --> 0:35:32.560
<v Speaker 1>terms of how productive they were. And I do wonder

0:35:32.680 --> 0:35:35.680
<v Speaker 1>Amazon's using it as you highlighten your story, like how

0:35:35.760 --> 0:35:39.120
<v Speaker 1>that data could potentially be used in terms of assessing

0:35:39.760 --> 0:35:41.960
<v Speaker 1>the value, you know, the value of a worker. I mean,

0:35:42.000 --> 0:35:45.239
<v Speaker 1>that's a really good point. Hourly workers have already been

0:35:45.280 --> 0:35:48.640
<v Speaker 1>managed algorithmicically for a long time. I think what we're

0:35:48.640 --> 0:35:51.000
<v Speaker 1>seeing now is whiters of output and stuff, right right.

0:35:51.000 --> 0:35:53.359
<v Speaker 1>I think we're seeing a shift now to office workers. Right.

0:35:53.600 --> 0:35:56.440
<v Speaker 1>We have so much more data on how people perform

0:35:56.480 --> 0:35:59.799
<v Speaker 1>their key strokes, their mouse clicks, and I think that

0:36:00.080 --> 0:36:02.400
<v Speaker 1>the data wasn't there before. Going to raise a journalist

0:36:02.480 --> 0:36:06.719
<v Speaker 1>right right that? Sorry, sorry, keep going, keep going, Yeah,

0:36:06.719 --> 0:36:09.120
<v Speaker 1>But I do think now that the data is there,

0:36:09.400 --> 0:36:12.040
<v Speaker 1>it's going to start feeding into some of these automated decisions.

0:36:12.480 --> 0:36:15.160
<v Speaker 1>I'm on the radio. That's why I'm not writing stories today. Right.

0:36:15.360 --> 0:36:18.440
<v Speaker 1>My boss is if any robots are listening, that's my story.

0:36:18.520 --> 0:36:21.040
<v Speaker 1>I'm sticking with it. But that's you know, I picture

0:36:21.080 --> 0:36:24.360
<v Speaker 1>investors out there thinking, all right, AI is coming in HR,

0:36:24.640 --> 0:36:27.279
<v Speaker 1>how do I invest in that who are there sort

0:36:27.320 --> 0:36:31.440
<v Speaker 1>of third party software companies will be a Google, a Chat, GPT, like,

0:36:31.719 --> 0:36:34.200
<v Speaker 1>is there anyone sort of taking the lead as a

0:36:34.280 --> 0:36:37.000
<v Speaker 1>vendor for this type of product? Well, you know, it's

0:36:37.040 --> 0:36:40.080
<v Speaker 1>interesting because I do think that we're the forefront of

0:36:40.080 --> 0:36:41.799
<v Speaker 1>this is going to be tech companies right we they're

0:36:41.800 --> 0:36:43.520
<v Speaker 1>already using it. I think a lot of them have

0:36:43.600 --> 0:36:46.640
<v Speaker 1>their own technology. One thing is, I don't think a

0:36:46.680 --> 0:36:48.719
<v Speaker 1>lot of companies really want to talk about this. You know,

0:36:48.760 --> 0:36:51.840
<v Speaker 1>there's it comes across as the kind of callous um

0:36:52.239 --> 0:36:55.000
<v Speaker 1>and so I do think surveillance so much right and

0:36:55.040 --> 0:36:57.239
<v Speaker 1>I there will be pushed back from employees. We're going

0:36:57.239 --> 0:37:00.040
<v Speaker 1>to see that eventually, if we haven't already. So I

0:37:00.400 --> 0:37:02.600
<v Speaker 1>think that there there is going to be caution and

0:37:02.600 --> 0:37:04.840
<v Speaker 1>weariness here about talking. It's like with hedge funds that

0:37:04.960 --> 0:37:07.120
<v Speaker 1>use AI too. It's like fight club. The first rule

0:37:07.160 --> 0:37:09.279
<v Speaker 1>of AI is you don't talk. I'll talk about how

0:37:09.320 --> 0:37:10.719
<v Speaker 1>you're using it. You don't want to tip your hand.

0:37:10.719 --> 0:37:13.000
<v Speaker 1>I guess no. It's a really good point. Um, And

0:37:13.040 --> 0:37:15.400
<v Speaker 1>what kind of advantage is I guess it particularly gives

0:37:15.719 --> 0:37:19.120
<v Speaker 1>who's ever using it? You guys in your story, um

0:37:19.200 --> 0:37:22.480
<v Speaker 1>that you include a lot of a few surveys about

0:37:22.520 --> 0:37:24.759
<v Speaker 1>what HR leaders say they will use it for. Is

0:37:24.760 --> 0:37:27.440
<v Speaker 1>there some kind of big takeaway? Well, one of the

0:37:27.440 --> 0:37:31.200
<v Speaker 1>big takeaways is something like nine of HR leaders said

0:37:31.200 --> 0:37:35.080
<v Speaker 1>that they will rely to some extent on on software

0:37:35.080 --> 0:37:39.480
<v Speaker 1>and algorithms if they're making labor cuts in processions, so

0:37:39.480 --> 0:37:42.600
<v Speaker 1>we know it's going to happen. The other stat that

0:37:42.680 --> 0:37:44.839
<v Speaker 1>stats that are kind of interesting is that they don't

0:37:44.840 --> 0:37:47.680
<v Speaker 1>necessarily believe that it will make the right decisions, so

0:37:47.960 --> 0:37:49.560
<v Speaker 1>they'll they say they're going to use it, but they're

0:37:49.600 --> 0:37:51.680
<v Speaker 1>a little bit hesitant. So I think that's something that

0:37:51.719 --> 0:37:53.520
<v Speaker 1>we all need to to keep in mind too. Yeah,

0:37:53.520 --> 0:37:55.480
<v Speaker 1>do you think they'll still always be some sort of

0:37:55.560 --> 0:38:00.279
<v Speaker 1>human element involved? You know, maybe AI spits out plenty

0:38:00.560 --> 0:38:02.800
<v Speaker 1>names that you can perhaps lay off, and then a

0:38:02.880 --> 0:38:05.919
<v Speaker 1>human goes through and sorts through. There needs to be um.

0:38:06.000 --> 0:38:08.880
<v Speaker 1>I make the point in the column that human resources

0:38:08.960 --> 0:38:10.920
<v Speaker 1>is about humans and we need to keep that in mind.

0:38:10.960 --> 0:38:12.760
<v Speaker 1>I mean, a layoff is one of the most traumatic

0:38:12.800 --> 0:38:15.480
<v Speaker 1>things that can happen to a person, and it's kind

0:38:15.480 --> 0:38:19.120
<v Speaker 1>of unfair to turn that decision completely over to the robots.

0:38:19.160 --> 0:38:20.960
<v Speaker 1>But I always think about, right the filtering of data

0:38:21.000 --> 0:38:22.840
<v Speaker 1>is only as good as the inputs of data. And

0:38:22.840 --> 0:38:24.439
<v Speaker 1>this is you know, we talk about it. I'm sure

0:38:24.440 --> 0:38:28.000
<v Speaker 1>you do. You know the just concept of bias, yes,

0:38:28.320 --> 0:38:32.720
<v Speaker 1>and data that's put into whatever group of data points

0:38:32.760 --> 0:38:34.680
<v Speaker 1>and then your outcomes are going to be biased if

0:38:34.680 --> 0:38:36.719
<v Speaker 1>the data is biased. So that's something that they've got

0:38:36.760 --> 0:38:39.239
<v Speaker 1>to be thinking about, right, right, bad data and bad

0:38:39.320 --> 0:38:42.799
<v Speaker 1>data out and I think people might believe, oh, this

0:38:42.880 --> 0:38:44.680
<v Speaker 1>is a fairer way to do it, right, this is

0:38:44.719 --> 0:38:47.240
<v Speaker 1>just based strictly on numbers. But we know that AI

0:38:47.360 --> 0:38:49.960
<v Speaker 1>has the potential to encode bias. We've seen a lot

0:38:49.960 --> 0:38:53.960
<v Speaker 1>of examples of that, and I think we're not going

0:38:54.000 --> 0:38:55.520
<v Speaker 1>to get rid of this problem, right. We have to

0:38:55.560 --> 0:38:58.719
<v Speaker 1>be careful and wary of that. Yeah, it's funny. I

0:38:58.760 --> 0:39:03.280
<v Speaker 1>was talking to less Matt Partolini. He's works for Spiders,

0:39:03.320 --> 0:39:05.640
<v Speaker 1>the E t F company, and they have an AI

0:39:06.000 --> 0:39:11.600
<v Speaker 1>H E t F that basically scours thousands of SEC filings,

0:39:11.920 --> 0:39:15.399
<v Speaker 1>annual reports, proxies, whatever, looking for certain things. And he said,

0:39:15.400 --> 0:39:18.520
<v Speaker 1>there's there's a concern about companies starting to to sort

0:39:18.560 --> 0:39:21.560
<v Speaker 1>of game that process, like they know what words the

0:39:21.640 --> 0:39:25.040
<v Speaker 1>robots are looking for, and they'll start, you know, inserting

0:39:25.080 --> 0:39:29.360
<v Speaker 1>them into their earnings, calls into their statements. I wonder,

0:39:29.480 --> 0:39:32.960
<v Speaker 1>you know, it's when I wonder when we get to

0:39:33.000 --> 0:39:35.960
<v Speaker 1>that point where sort of the employee starts to you know,

0:39:37.200 --> 0:39:39.520
<v Speaker 1>get ahead of the AI. I guess we're you know,

0:39:39.880 --> 0:39:41.920
<v Speaker 1>probably too early to say when that's coming. But do

0:39:41.920 --> 0:39:44.200
<v Speaker 1>you think that's af fector at all? Yeah? I do,

0:39:44.280 --> 0:39:46.680
<v Speaker 1>And I think the bigger risk might be though this

0:39:46.920 --> 0:39:49.279
<v Speaker 1>the bias piece right where we where we just talked about.

0:39:49.280 --> 0:39:51.719
<v Speaker 1>There's a really interesting example that a couple of people

0:39:51.800 --> 0:39:55.360
<v Speaker 1>pointed me to have Amazon trying to create a system

0:39:55.400 --> 0:39:59.040
<v Speaker 1>where it could it could find can't job candidates that

0:39:59.040 --> 0:40:00.960
<v Speaker 1>it felt were going to be the longest, and it

0:40:01.000 --> 0:40:05.040
<v Speaker 1>was based on historical applicating job applications. Most of them,

0:40:05.040 --> 0:40:08.080
<v Speaker 1>not surprisingly we're talking tech, we're from men. So the

0:40:08.520 --> 0:40:11.719
<v Speaker 1>system penalized women who applied for jobs. I think that

0:40:11.760 --> 0:40:14.879
<v Speaker 1>this is you know, wait, how did it penalize them?

0:40:14.960 --> 0:40:18.960
<v Speaker 1>Because because it was looking at past applications, it saw

0:40:19.000 --> 0:40:21.880
<v Speaker 1>that most of them were from men. So when it

0:40:22.000 --> 0:40:24.120
<v Speaker 1>was kind of calculating going forward, it was like most

0:40:24.120 --> 0:40:27.640
<v Speaker 1>of our successful job candidates have been mailing. So women

0:40:27.680 --> 0:40:30.360
<v Speaker 1>were penalized and as part of the process, but to

0:40:30.400 --> 0:40:32.040
<v Speaker 1>speaking to what you just said, Mike, like you think

0:40:32.080 --> 0:40:34.440
<v Speaker 1>about it in the future, like when someone is filling

0:40:34.440 --> 0:40:37.680
<v Speaker 1>out a digital jobs application, do they put certain keywords

0:40:37.680 --> 0:40:41.120
<v Speaker 1>in there to trigger, you know, being caught up in

0:40:41.120 --> 0:40:44.520
<v Speaker 1>a job searching. I bet that's already happening. I bet

0:40:44.520 --> 0:40:47.520
<v Speaker 1>that's already You can put your name is Carl Masters right,

0:40:48.040 --> 0:40:50.399
<v Speaker 1>Oh my god. That reminds me of grade school when

0:40:50.440 --> 0:40:52.839
<v Speaker 1>people winter, so that your teachers would call me Carl

0:40:52.880 --> 0:40:56.319
<v Speaker 1>and I'd be like devastating. Um, how do you think

0:40:56.320 --> 0:40:58.719
<v Speaker 1>about AIM more broadly in terms of the workforce, because

0:40:58.719 --> 0:41:01.239
<v Speaker 1>I do think or just the word environment, I think

0:41:01.280 --> 0:41:03.279
<v Speaker 1>we're all jumping on it and thinking about kind of

0:41:03.280 --> 0:41:06.560
<v Speaker 1>those dystopian movies that are crazy. But I love that

0:41:06.600 --> 0:41:09.279
<v Speaker 1>you remind us like we've been using it for a

0:41:09.320 --> 0:41:12.040
<v Speaker 1>long time, Mike, As you say, the Investment space has

0:41:12.040 --> 0:41:13.799
<v Speaker 1>been using AI. So how do you think we have

0:41:13.840 --> 0:41:16.279
<v Speaker 1>to be smart about it when we use kind of

0:41:16.280 --> 0:41:18.880
<v Speaker 1>throw this term around. Yeah. I think that there is

0:41:18.920 --> 0:41:21.759
<v Speaker 1>a misunderstanding about what AI is, what it can do.

0:41:22.120 --> 0:41:25.160
<v Speaker 1>And one of the things I liked about this example,

0:41:25.320 --> 0:41:28.879
<v Speaker 1>this this column is that I do think there are

0:41:28.920 --> 0:41:31.080
<v Speaker 1>some things that only humans can do, and it's part

0:41:31.120 --> 0:41:34.040
<v Speaker 1>of that interaction. You know, again, the workforce is a

0:41:34.160 --> 0:41:37.239
<v Speaker 1>human thing. We can't always we don't always know how

0:41:37.280 --> 0:41:39.720
<v Speaker 1>our decisions are going to play out long term. Human

0:41:39.760 --> 0:41:42.719
<v Speaker 1>intuition still plays a role. Well, and it seems like

0:41:42.800 --> 0:41:45.120
<v Speaker 1>you know, AI has been around for a while now,

0:41:45.239 --> 0:41:47.799
<v Speaker 1>companies are using it in various functions. But this whole

0:41:47.880 --> 0:41:52.080
<v Speaker 1>chat cheep et thing really seems to have accelerated the conversation.

0:41:52.120 --> 0:41:55.160
<v Speaker 1>You know, it seems like this just a little bit,

0:41:55.239 --> 0:41:57.680
<v Speaker 1>you know, but it just seems like such a leap

0:41:58.080 --> 0:42:01.200
<v Speaker 1>in innovation almost over night. Is that? Do you think

0:42:01.200 --> 0:42:03.959
<v Speaker 1>that's a misperception? Is it? You know, just the fact

0:42:04.000 --> 0:42:07.839
<v Speaker 1>that this thing launched. Um? But really, you know, it's

0:42:07.920 --> 0:42:09.719
<v Speaker 1>it's not as big of a leap of innovation as

0:42:09.760 --> 0:42:11.560
<v Speaker 1>it looks like. No, I think it is a big leap,

0:42:11.600 --> 0:42:14.080
<v Speaker 1>And I think that is where we are talking about

0:42:14.080 --> 0:42:16.000
<v Speaker 1>this so much. Somehow I managed to not mention that

0:42:16.040 --> 0:42:17.719
<v Speaker 1>in my column. I should get points for that. But

0:42:17.800 --> 0:42:21.880
<v Speaker 1>I do. I do think that people, if it hasn't

0:42:21.880 --> 0:42:24.080
<v Speaker 1>been on your radar yet, I think it is now um,

0:42:24.200 --> 0:42:26.359
<v Speaker 1>And I I do think we're going to see people

0:42:26.400 --> 0:42:30.040
<v Speaker 1>closely watching what's next. Well, it's that it's the deep fakes,

0:42:30.080 --> 0:42:31.480
<v Speaker 1>Like there's all of a sudden a lot of reporting

0:42:31.480 --> 0:42:34.040
<v Speaker 1>on that, like just this ability to make things look

0:42:34.080 --> 0:42:37.600
<v Speaker 1>so realistic in our world and how it can be

0:42:37.640 --> 0:42:40.600
<v Speaker 1>misconstrued or just false information getting out there right. No,

0:42:40.719 --> 0:42:44.640
<v Speaker 1>I agree? So, Um, robot pinks lips? Are they coming?

0:42:45.239 --> 0:42:49.200
<v Speaker 1>Hopefully not? I'm stealing your term from our our Ariagami

0:42:49.280 --> 0:42:51.799
<v Speaker 1>who was saying it. Wait, is you know? Is that

0:42:51.880 --> 0:42:54.440
<v Speaker 1>just around the corner, robotic pink slips? Um? Beth really

0:42:54.480 --> 0:42:56.560
<v Speaker 1>appreciate talking to you because it really just fits into

0:42:56.560 --> 0:43:00.080
<v Speaker 1>this bigger, broader conversation we're having. Beth Coitch is your

0:43:00.120 --> 0:43:02.279
<v Speaker 1>columnist to Bloomberg Opinion. You can check her out on

0:43:02.320 --> 0:43:04.799
<v Speaker 1>Twitter and also check her out at Bloomberg dot com

0:43:04.800 --> 0:43:11.040
<v Speaker 1>and on the Bloomberg A little bit more, you're listening

0:43:11.080 --> 0:43:14.520
<v Speaker 1>to the Bloomberg Business Week podcast. Catch us live week

0:43:14.640 --> 0:43:17.680
<v Speaker 1>days from two to five pm Easter on Bloomberg Radio,

0:43:17.880 --> 0:43:20.719
<v Speaker 1>The Bloomberg Business and and you too. You can also

0:43:20.840 --> 0:43:24.120
<v Speaker 1>listen live to our flagship New York station, Just Say

0:43:24.239 --> 0:43:29.040
<v Speaker 1>Alexa play Bloomberg e Love and Dirty. As you know, Mike,

0:43:29.160 --> 0:43:34.759
<v Speaker 1>you know Valentine's Days next week? Whoops, be your well

0:43:34.800 --> 0:43:36.640
<v Speaker 1>that day along with Mother's Day are two of the

0:43:36.640 --> 0:43:38.799
<v Speaker 1>biggest for the flower industry, which is why we wanted

0:43:38.840 --> 0:43:41.600
<v Speaker 1>to check in once again with Christina's stanbl founder and

0:43:41.719 --> 0:43:44.600
<v Speaker 1>CEO farm Girl Flowers. She joins us in our Bloomberg

0:43:44.600 --> 0:43:47.200
<v Speaker 1>Interactive Broker studio based on the West Coast, but here

0:43:47.200 --> 0:43:49.440
<v Speaker 1>in New York. So great to have you here. How

0:43:49.480 --> 0:43:51.719
<v Speaker 1>are you. I'm good, Thanks for having me back. It's

0:43:51.800 --> 0:43:54.200
<v Speaker 1>it's great to be in person this time. It's so great.

0:43:54.320 --> 0:43:57.240
<v Speaker 1>I mean, we've talked to you, like throughout the pandemic. Um,

0:43:57.280 --> 0:43:59.440
<v Speaker 1>how does the world feel. Does it feel like we're

0:43:59.640 --> 0:44:02.759
<v Speaker 1>over the pandemic? Comp has your world sort of? I mean,

0:44:02.800 --> 0:44:04.960
<v Speaker 1>I feel that there's residual effects that are still like,

0:44:05.320 --> 0:44:08.080
<v Speaker 1>you know, impacting supply chain and transportation and things like that.

0:44:08.120 --> 0:44:10.880
<v Speaker 1>But really I think we're holding onto, you know, getting

0:44:10.920 --> 0:44:13.240
<v Speaker 1>as much money as you possibly can in those areas,

0:44:13.320 --> 0:44:15.560
<v Speaker 1>and you know costs, you know, costners have not come

0:44:15.640 --> 0:44:18.040
<v Speaker 1>down yet. Um, so I think that will normally next

0:44:18.040 --> 0:44:19.879
<v Speaker 1>twelve months and come down at all a little bit,

0:44:20.000 --> 0:44:22.120
<v Speaker 1>but definitely not where we were hoping to see them.

0:44:22.120 --> 0:44:23.799
<v Speaker 1>So I think that this this next year is going

0:44:23.880 --> 0:44:27.040
<v Speaker 1>to be really transformative that way, and kind of normalize

0:44:27.040 --> 0:44:28.759
<v Speaker 1>a little bit more. You sound like Jay Powell. That's

0:44:28.760 --> 0:44:31.040
<v Speaker 1>what I said. It's maybe yeah, well he was saying

0:44:31.040 --> 0:44:38.280
<v Speaker 1>like maybe it's wishful things. You know, Christine, It's funny.

0:44:38.320 --> 0:44:41.800
<v Speaker 1>I'm here. I'm a father, husband, father of three girls.

0:44:41.960 --> 0:44:44.560
<v Speaker 1>So I've got certain occasions where I buy flowers right

0:44:44.640 --> 0:44:47.279
<v Speaker 1>once when I get in trouble, obviously you know which

0:44:47.320 --> 0:44:54.879
<v Speaker 1>so reading those cards. But the other is Valentine's Day

0:44:55.040 --> 0:44:57.320
<v Speaker 1>and the other was you know, Theo's Daddy daughter dances

0:44:57.360 --> 0:44:59.680
<v Speaker 1>that all got canceled during the pandemic. So I've missed

0:44:59.680 --> 0:45:03.840
<v Speaker 1>your visitor in the pandemic days. How bad was it?

0:45:03.880 --> 0:45:05.520
<v Speaker 1>Did you lose a lot of suppliers? I mean, I

0:45:05.560 --> 0:45:08.319
<v Speaker 1>feel like the flower industry especially must have been really

0:45:08.600 --> 0:45:12.120
<v Speaker 1>hard hit. Yeah it was. We actually benefited, though, I

0:45:12.120 --> 0:45:13.879
<v Speaker 1>have to say, and I felt a little smarmy even

0:45:13.920 --> 0:45:16.720
<v Speaker 1>saying that early on. I mean the gifting segment in general,

0:45:16.760 --> 0:45:19.680
<v Speaker 1>and we were definitely in that that space really benefit

0:45:19.719 --> 0:45:22.160
<v Speaker 1>from the pandemic because everybody were sending gifts instead of

0:45:22.160 --> 0:45:26.160
<v Speaker 1>being in person. But that the flowers, yeah, thank you.

0:45:26.680 --> 0:45:28.640
<v Speaker 1>But what that did was it created you know, we

0:45:28.680 --> 0:45:31.440
<v Speaker 1>all had to build infrastructures that we couldn't support later on,

0:45:31.760 --> 0:45:34.600
<v Speaker 1>so we you know, turned off marketing and you know,

0:45:34.640 --> 0:45:36.160
<v Speaker 1>for ten and a half months, we just turned it

0:45:36.160 --> 0:45:38.799
<v Speaker 1>off and we still did a growth, you know, and

0:45:38.880 --> 0:45:41.719
<v Speaker 1>then one came and I always said, oh no, when

0:45:42.120 --> 0:45:45.680
<v Speaker 1>vaccines become readily available, I don't know what's going to happen.

0:45:45.760 --> 0:45:47.080
<v Speaker 1>I know something big is going to happen, but I

0:45:47.120 --> 0:45:48.480
<v Speaker 1>don't know how big it's going to be. And we

0:45:48.600 --> 0:45:51.480
<v Speaker 1>just built this infrastructure, you know, that we couldn't support

0:45:51.520 --> 0:45:53.480
<v Speaker 1>any longer. And so then we had to rethink everything

0:45:53.520 --> 0:45:55.359
<v Speaker 1>and be like, oh, you know, now we have to

0:45:55.560 --> 0:45:57.720
<v Speaker 1>right size the business, which is like the dreaded word

0:45:57.800 --> 0:45:59.719
<v Speaker 1>right And so then we had to do that. And

0:45:59.760 --> 0:46:02.120
<v Speaker 1>then you know, last year everybody thought, okay, it's over,

0:46:02.160 --> 0:46:05.680
<v Speaker 1>and it's like I can't wait until it's finally going

0:46:05.719 --> 0:46:08.200
<v Speaker 1>to be over. Nope, not over, huh nope. So then

0:46:08.320 --> 0:46:10.640
<v Speaker 1>you know, we have like transportation costs that are like

0:46:10.920 --> 0:46:12.760
<v Speaker 1>you know, all the ancillary fees on top of ancillary

0:46:12.760 --> 0:46:14.239
<v Speaker 1>fees on top of antler fees, and we have like

0:46:14.280 --> 0:46:16.400
<v Speaker 1>containers that can't get there, and you know, flowers they

0:46:16.400 --> 0:46:18.759
<v Speaker 1>can't get there on time, and flowers and number one

0:46:18.760 --> 0:46:20.360
<v Speaker 1>thing you have to get them there quickly, and so

0:46:20.400 --> 0:46:21.799
<v Speaker 1>not be able to get them there quickly. And then

0:46:21.840 --> 0:46:23.960
<v Speaker 1>we had one month where like over half of our

0:46:24.040 --> 0:46:25.799
<v Speaker 1>orders weren't delivered on time and it resulted in like

0:46:25.840 --> 0:46:28.360
<v Speaker 1>five and a half million dollars of losses. And I

0:46:28.360 --> 0:46:30.440
<v Speaker 1>mean things like that. It was just constant. And so

0:46:30.520 --> 0:46:31.800
<v Speaker 1>this year we're like, you know, now we're in a

0:46:31.840 --> 0:46:33.640
<v Speaker 1>down economy and I'm like, oh my gosh, this is

0:46:33.640 --> 0:46:36.400
<v Speaker 1>ever going to really end. I don't know how to

0:46:36.440 --> 0:46:39.759
<v Speaker 1>feel to own a business that's great, everybody should do it. Well,

0:46:39.800 --> 0:46:41.799
<v Speaker 1>I'll say, as when you're a husband in trouble, those

0:46:41.840 --> 0:46:45.120
<v Speaker 1>delays are no good. You need it like some You

0:46:45.160 --> 0:46:48.200
<v Speaker 1>need it like yesterday for that because did to go

0:46:48.239 --> 0:46:50.279
<v Speaker 1>back to some of the inflationary pressures. Because this is

0:46:50.320 --> 0:46:54.520
<v Speaker 1>something we talked with UM, a person in the trucking industry.

0:46:54.520 --> 0:46:57.200
<v Speaker 1>We're trying to really get a good feel. We've talked

0:46:57.239 --> 0:46:59.319
<v Speaker 1>with chefs and while things have come down, they do

0:46:59.360 --> 0:47:02.560
<v Speaker 1>talk a lot of that labor costs still are pretty high. Um,

0:47:02.640 --> 0:47:05.279
<v Speaker 1>you said they've come down a little bit, but it's

0:47:05.320 --> 0:47:08.000
<v Speaker 1>still your supply chain. It's still kind of expensive. Yeah.

0:47:08.040 --> 0:47:09.920
<v Speaker 1>I mean, we're at the size of a company that

0:47:09.960 --> 0:47:11.600
<v Speaker 1>we don't have the buying power that a lot of

0:47:11.640 --> 0:47:13.719
<v Speaker 1>large companies have, and so I'm sure that they're they're

0:47:13.719 --> 0:47:16.080
<v Speaker 1>seeing it come down much quicker than companies, you know,

0:47:16.160 --> 0:47:19.560
<v Speaker 1>the medium size small medium companies are just really you know,

0:47:19.600 --> 0:47:21.600
<v Speaker 1>the last ones to see those savings because we can't

0:47:21.640 --> 0:47:23.640
<v Speaker 1>go and say, like we have you know, two hundred

0:47:23.640 --> 0:47:26.680
<v Speaker 1>million dollars of buying power, you know, and go to

0:47:26.719 --> 0:47:29.520
<v Speaker 1>the transfiaction companies that way. But so it's coming, but

0:47:29.560 --> 0:47:32.200
<v Speaker 1>then it's also being offset by higher labor costs and

0:47:32.239 --> 0:47:34.319
<v Speaker 1>things like that. So it's just, you know, we want

0:47:34.320 --> 0:47:36.239
<v Speaker 1>to be able to to show our customers and have

0:47:36.280 --> 0:47:38.279
<v Speaker 1>our customers realize these savings. And we every time we

0:47:38.280 --> 0:47:40.640
<v Speaker 1>think we're going to be able to lower our prices again,

0:47:40.840 --> 0:47:43.000
<v Speaker 1>it's not. Then it's just, you know, we're dipping into

0:47:43.000 --> 0:47:45.080
<v Speaker 1>our margins again. Can you find all the workers you

0:47:45.120 --> 0:47:48.759
<v Speaker 1>need and want? No? Absolutely not. So. UM, you know,

0:47:48.800 --> 0:47:51.080
<v Speaker 1>we've been very creative about how we do that, you know,

0:47:51.200 --> 0:47:54.400
<v Speaker 1>with partnerships with farms, um that are drop shipping for

0:47:54.480 --> 0:47:56.680
<v Speaker 1>us and things like that. Um, it's just you know,

0:47:56.920 --> 0:48:00.239
<v Speaker 1>it's really hard wage level employee, you know, labors really

0:48:00.239 --> 0:48:02.200
<v Speaker 1>hard in the United States right now, does it feel

0:48:02.200 --> 0:48:04.680
<v Speaker 1>like we're at the beginning of a down economy? You

0:48:04.719 --> 0:48:07.000
<v Speaker 1>mentioned you know you're prepping for down economy. Is it's

0:48:07.040 --> 0:48:09.080
<v Speaker 1>starting to feel like that for you for it's felt

0:48:09.120 --> 0:48:10.680
<v Speaker 1>that way for a while now. I think we've you know,

0:48:10.760 --> 0:48:13.040
<v Speaker 1>I definitely think that we've been there for a while.

0:48:13.080 --> 0:48:15.320
<v Speaker 1>And nobody wants to actually call a spade a spade

0:48:15.360 --> 0:48:19.080
<v Speaker 1>because demand is less, demand is far less, demand is

0:48:19.080 --> 0:48:21.200
<v Speaker 1>far less. I mean, you know, we're discriptionary. I mean,

0:48:21.239 --> 0:48:23.680
<v Speaker 1>like it, flowers are not a necessity even, you know,

0:48:23.719 --> 0:48:26.879
<v Speaker 1>food seems even food in the gifting space, chocolates off

0:48:26.920 --> 0:48:30.040
<v Speaker 1>like that feel like more of a necessity even than flowers. Um,

0:48:30.320 --> 0:48:32.120
<v Speaker 1>I kind of agree with that, you know, the sweets

0:48:32.160 --> 0:48:34.960
<v Speaker 1>and things, but um, you know, we're just you know,

0:48:35.640 --> 0:48:38.400
<v Speaker 1>we benefited at times where you know where it was,

0:48:38.560 --> 0:48:40.520
<v Speaker 1>you know, gifts were sent a lot, and then when

0:48:40.640 --> 0:48:42.399
<v Speaker 1>you know, the economy goes down, people kind of tighten

0:48:42.400 --> 0:48:44.799
<v Speaker 1>their belts a bit, and things like flowers don't seem

0:48:44.840 --> 0:48:47.000
<v Speaker 1>as much of a necessity. And the great thing is

0:48:47.000 --> 0:48:52.000
<v Speaker 1>where a bootstrap company and we spend less today all alone. Yes, absolutely,

0:48:52.320 --> 0:48:54.160
<v Speaker 1>and so you know we'll get through it. I'm a

0:48:54.239 --> 0:48:56.400
<v Speaker 1>hundred percent sure, we'll get through it. Unlike some companies

0:48:56.440 --> 0:48:58.760
<v Speaker 1>that you know, I'm really feeling for that are reliant

0:48:58.800 --> 0:49:01.400
<v Speaker 1>on raising capital right out and money is really expensive

0:49:01.440 --> 0:49:04.000
<v Speaker 1>and things like that. You know, we've always done this,

0:49:04.160 --> 0:49:05.759
<v Speaker 1>done it this way, and so we'll get through it.

0:49:05.760 --> 0:49:07.560
<v Speaker 1>It's but it's gonna be tough. It's gonna be another

0:49:07.600 --> 0:49:11.000
<v Speaker 1>tough year. Well in terms of then growth plans, what

0:49:11.040 --> 0:49:13.239
<v Speaker 1>do you do? Do you put things on hold? Um,

0:49:13.280 --> 0:49:16.200
<v Speaker 1>we really change our focus. So and I started this early,

0:49:16.200 --> 0:49:18.400
<v Speaker 1>and I'm really glad that I did. UM and it

0:49:18.440 --> 0:49:20.799
<v Speaker 1>panned out when I was it doesn't UM, but you know,

0:49:20.880 --> 0:49:23.920
<v Speaker 1>we really I switched our focus from growth to profitability

0:49:24.000 --> 0:49:26.120
<v Speaker 1>and so and I did that seeing what was coming

0:49:26.200 --> 0:49:28.760
<v Speaker 1>ahead of us. Are you not profitable? Before? We always

0:49:28.760 --> 0:49:31.279
<v Speaker 1>had to be profitable to a point. The thing that

0:49:31.320 --> 0:49:33.240
<v Speaker 1>I said is the only way that we're like Amazon

0:49:33.360 --> 0:49:36.800
<v Speaker 1>is that we ran as close to zero as possible

0:49:36.840 --> 0:49:38.719
<v Speaker 1>and then reinvest the profits back into the company. So

0:49:38.719 --> 0:49:41.640
<v Speaker 1>there were many times were like one percent profit and

0:49:41.680 --> 0:49:43.839
<v Speaker 1>things like that. Um. There's a lot of sleepless nights

0:49:43.880 --> 0:49:46.440
<v Speaker 1>before payroll for me in the last twelve years. UM.

0:49:46.600 --> 0:49:49.040
<v Speaker 1>So we really focused on having more of a cushion

0:49:49.400 --> 0:49:51.320
<v Speaker 1>and I'm glad we did that, and so we really

0:49:51.360 --> 0:49:53.719
<v Speaker 1>we we did things that actually cut our revenue, and

0:49:53.760 --> 0:49:55.239
<v Speaker 1>we knew it would cut our revenue, but it made

0:49:55.320 --> 0:49:57.799
<v Speaker 1>us financially just healthier as a company. And so that's

0:49:57.880 --> 0:50:00.560
<v Speaker 1>we're you know, going through this with that mentality. We're

0:50:00.560 --> 0:50:04.960
<v Speaker 1>not growth at all costs. We are really maintaining a healthy, um,

0:50:05.000 --> 0:50:06.920
<v Speaker 1>you know, a healthy stance and where we want to be. Well,

0:50:06.920 --> 0:50:08.239
<v Speaker 1>I have to say what I love about you, and

0:50:08.280 --> 0:50:11.120
<v Speaker 1>we have some flowers and I think our producer Aerielhead

0:50:11.120 --> 0:50:12.920
<v Speaker 1>took a picture for those who are watching on YouTube

0:50:12.920 --> 0:50:16.200
<v Speaker 1>and on our streaming service. Um, it's just organic and

0:50:16.239 --> 0:50:19.839
<v Speaker 1>it's just beautiful. Twenty seconds left Valentine's Day. We can

0:50:19.840 --> 0:50:24.919
<v Speaker 1>still order, yes, absolutely might get your order. Yes, yes,

0:50:25.280 --> 0:50:27.400
<v Speaker 1>get your orders. Are still we're still taking orders right now.

0:50:27.400 --> 0:50:29.000
<v Speaker 1>So let's go to farm reel Flowers dot com to

0:50:29.040 --> 0:50:32.000
<v Speaker 1>placers now. We love flowers. Um, Christina, thank you so much,

0:50:32.000 --> 0:50:34.040
<v Speaker 1>good luck, look forward to catching up with you in

0:50:34.080 --> 0:50:37.520
<v Speaker 1>the future. Christina Stable, founder and CEO of farm Girl Flowers.

0:50:37.560 --> 0:50:40.160
<v Speaker 1>You can find them on Twitter at farm Girl Flowers.

0:50:40.560 --> 0:50:42.960
<v Speaker 1>And you are listening to Bloomberg Business Week, Carl Masser

0:50:43.239 --> 0:50:52.399
<v Speaker 1>along with Mike Reagan. And this is Bloomberg Radio. You're

0:50:52.440 --> 0:50:56.040
<v Speaker 1>listening to the Bloomberg Business Week podcast. Catch us live

0:50:56.120 --> 0:50:59.440
<v Speaker 1>week days from two to five pm Easter on Bloomberg Radio,

0:50:59.640 --> 0:51:02.239
<v Speaker 1>The blue Berg Business and and you too. You can

0:51:02.280 --> 0:51:05.640
<v Speaker 1>also listen live to our flagship New York station, Just

0:51:05.680 --> 0:51:10.840
<v Speaker 1>say Alexa, play Bloomberg e Love and Dirty. Alright, you

0:51:10.840 --> 0:51:13.520
<v Speaker 1>watch the Super Bowl and you know what's always kind

0:51:13.560 --> 0:51:18.080
<v Speaker 1>of a staple when it comes to the commercials is

0:51:18.080 --> 0:51:20.440
<v Speaker 1>bud Wiser. And that's an old Budwiser commercial. Does that

0:51:20.560 --> 0:51:23.000
<v Speaker 1>bring familiar to you? I haven't heard that one. I

0:51:23.520 --> 0:51:27.799
<v Speaker 1>recognize that it's an old right, Paul. It's an old one. Seventies. Yeah,

0:51:27.840 --> 0:51:31.680
<v Speaker 1>that's an old one, Paul. It's going back a little bit.

0:51:31.880 --> 0:51:34.520
<v Speaker 1>All right. Well, the big game is this weekend. Will

0:51:34.520 --> 0:51:36.759
<v Speaker 1>it be the Eagles? Will it be the Chiefs that

0:51:36.800 --> 0:51:39.520
<v Speaker 1>take on the Lombardi Trophy? Time will tell. But already

0:51:39.560 --> 0:51:42.239
<v Speaker 1>a winner is Fox, which sold out of its in

0:51:42.400 --> 0:51:46.640
<v Speaker 1>game ads, some topping seven million dollars. With more on it,

0:51:46.680 --> 0:51:48.920
<v Speaker 1>let's get to Bloomberg News Media reporter Jerry Smith here

0:51:48.920 --> 0:51:52.000
<v Speaker 1>in our Bloomberg Interactive Broker studio. UM Good to have

0:51:52.040 --> 0:51:54.279
<v Speaker 1>you here with Mike and myself. That sounds pretty optimistic,

0:51:54.360 --> 0:51:57.200
<v Speaker 1>pretty nice. Yeah, this is there was a lot of

0:51:57.280 --> 0:52:00.440
<v Speaker 1>uncertainty obviously coming into the Super Bowl. With the economy.

0:52:00.520 --> 0:52:03.160
<v Speaker 1>We've seen a lot of advertisers pull back their budgets.

0:52:03.920 --> 0:52:06.400
<v Speaker 1>But you know that certainly didn't dissuade a lot of

0:52:06.400 --> 0:52:09.960
<v Speaker 1>advertisers from spending on the Super Bowl. It's funny, right

0:52:10.000 --> 0:52:12.160
<v Speaker 1>because on the mobile, the social we've all been worried

0:52:12.160 --> 0:52:14.239
<v Speaker 1>about advertising, but not for the big game here. Yeah,

0:52:14.280 --> 0:52:16.400
<v Speaker 1>I mean, it's it's the power of live sports, and

0:52:16.640 --> 0:52:20.240
<v Speaker 1>advertisers are still willing to pay upwards of seven million

0:52:20.280 --> 0:52:22.799
<v Speaker 1>dollars for a thirty second ad because this is the

0:52:22.880 --> 0:52:25.400
<v Speaker 1>largest TV event of the year. You're talking about getting

0:52:25.400 --> 0:52:27.600
<v Speaker 1>your brand in front of over a hundred million people.

0:52:28.200 --> 0:52:30.560
<v Speaker 1>People watch the commercials for the Super Bowl unlike a

0:52:30.560 --> 0:52:32.600
<v Speaker 1>lot of other types of programs, and I don't go

0:52:32.719 --> 0:52:37.560
<v Speaker 1>fast forward. I gotta say, as a lifelong Philadelphia Eagles fan,

0:52:37.920 --> 0:52:40.480
<v Speaker 1>just this conversation alone is making me anxious. I was

0:52:40.480 --> 0:52:44.080
<v Speaker 1>trying to pretend this game actually wasn't try it'll help,

0:52:44.600 --> 0:52:46.880
<v Speaker 1>but cherry is that? Is that what it's all about,

0:52:46.920 --> 0:52:49.040
<v Speaker 1>the fact that the Super Bowl is the one thing

0:52:49.080 --> 0:52:51.600
<v Speaker 1>you can't fast forward or watch on demand. You know

0:52:51.680 --> 0:52:55.280
<v Speaker 1>that this live advertising, this is sort of the last

0:52:55.320 --> 0:52:59.680
<v Speaker 1>bastion for for live advertisers to really make their statement. Yeah,

0:52:59.680 --> 0:53:01.080
<v Speaker 1>if you if you look at it. I mean, one

0:53:01.120 --> 0:53:03.879
<v Speaker 1>of the craziest stats you'll see is UM last year,

0:53:04.080 --> 0:53:07.319
<v Speaker 1>over a hunt, the top one most watched shows on TV,

0:53:07.440 --> 0:53:11.000
<v Speaker 1>I think ninety four of them were UM sports. Uh,

0:53:11.000 --> 0:53:13.880
<v Speaker 1>and the vast majority of those were NFL games. So,

0:53:14.120 --> 0:53:17.120
<v Speaker 1>you know, you think about your dramas and your comedies

0:53:17.160 --> 0:53:21.799
<v Speaker 1>and how they've increasingly moved from cable to streaming services. Uh,

0:53:21.880 --> 0:53:25.800
<v Speaker 1>live sports is still UM. You know, it's still really dominant.

0:53:26.120 --> 0:53:28.440
<v Speaker 1>It's expensive though, right for everybody who wants to air it.

0:53:28.800 --> 0:53:32.399
<v Speaker 1>It's it's expensive for everyone involved. I mean, the advertisers, uh,

0:53:32.440 --> 0:53:35.040
<v Speaker 1>certainly for the Super Bowl are paying top dollar. These

0:53:35.080 --> 0:53:38.560
<v Speaker 1>TV networks are spending an enormous amount of money acquiring

0:53:38.600 --> 0:53:41.799
<v Speaker 1>the rights to these games. Uh. So everybody's spending more

0:53:42.239 --> 0:53:44.760
<v Speaker 1>UM and it's But the important thing to think about

0:53:44.880 --> 0:53:48.600
<v Speaker 1>is the entire cable TV industry really depends on live sports.

0:53:48.640 --> 0:53:50.720
<v Speaker 1>A lot of the people who still subscribe to cable,

0:53:50.719 --> 0:53:53.719
<v Speaker 1>who are not the cord cutters are watching sports. So

0:53:54.120 --> 0:53:56.719
<v Speaker 1>you know, if these TV networks, the day that an

0:53:56.760 --> 0:54:00.000
<v Speaker 1>Amazon or an Apple years from now starts taking exclude

0:54:00.120 --> 0:54:01.920
<v Speaker 1>of rights to some of these big events and more

0:54:01.960 --> 0:54:04.719
<v Speaker 1>people cut the cord, the whole industry is really going

0:54:04.760 --> 0:54:07.200
<v Speaker 1>to be It's almost like a dominoes. I want to

0:54:07.200 --> 0:54:08.719
<v Speaker 1>go back to the ads in a in a moment,

0:54:08.760 --> 0:54:11.480
<v Speaker 1>but let's just stay here with the sports rights, because

0:54:11.760 --> 0:54:14.759
<v Speaker 1>you know, we are increasingly seeing the streaming companies, you know,

0:54:14.800 --> 0:54:17.640
<v Speaker 1>pay up or want to have those exclusive sports rights

0:54:17.719 --> 0:54:19.800
<v Speaker 1>or or will it be exclusive at some point or

0:54:19.840 --> 0:54:22.320
<v Speaker 1>will it be where they show it, network show it,

0:54:22.440 --> 0:54:24.680
<v Speaker 1>Like is it going to the point where streaming has

0:54:24.719 --> 0:54:27.320
<v Speaker 1>it only? I think we're years away from that. I

0:54:27.320 --> 0:54:30.360
<v Speaker 1>think the NFL is the best example where the NFL

0:54:30.440 --> 0:54:34.440
<v Speaker 1>did deals with the big TV networks the NBC, CBS, Fox,

0:54:34.920 --> 0:54:37.319
<v Speaker 1>at ESPN, and so they have the rights for the

0:54:37.360 --> 0:54:40.000
<v Speaker 1>next decade. But they also did a deal with Amazon

0:54:40.040 --> 0:54:43.040
<v Speaker 1>where Amazon had the exclusive rights to Thursday night football.

0:54:43.480 --> 0:54:46.320
<v Speaker 1>So if you think about some other sports, the NBA

0:54:46.440 --> 0:54:50.080
<v Speaker 1>now is in the process of renegotiating their deal. Currently

0:54:50.120 --> 0:54:53.239
<v Speaker 1>it's on T N T and ESPN. Could potentially an

0:54:53.239 --> 0:54:56.440
<v Speaker 1>Amazon or an Apple get some of those games. Um,

0:54:56.520 --> 0:54:59.160
<v Speaker 1>that's a really big question in the sports media industry,

0:54:59.160 --> 0:55:01.560
<v Speaker 1>and it's for the averag consumer. I think you're looking

0:55:01.600 --> 0:55:03.960
<v Speaker 1>at a future where you have to have cable and

0:55:04.000 --> 0:55:06.439
<v Speaker 1>you have to have multiple streaming services if you want

0:55:06.440 --> 0:55:08.120
<v Speaker 1>to be able to watch all the sports that you

0:55:08.120 --> 0:55:10.920
<v Speaker 1>want to see. Yea and Cherry. Obviously, last year, the

0:55:10.960 --> 0:55:14.799
<v Speaker 1>crypto ads were the big buzz. I'm assuming uh, not

0:55:14.880 --> 0:55:16.680
<v Speaker 1>so much this year. But is there any sort of

0:55:16.719 --> 0:55:19.760
<v Speaker 1>growth industry that you know, pops out as as buying

0:55:19.760 --> 0:55:21.520
<v Speaker 1>a lot of ads this year? You know, I remember

0:55:21.520 --> 0:55:24.160
<v Speaker 1>back in the dot com day there's always the funny

0:55:24.320 --> 0:55:26.360
<v Speaker 1>trade ads and stuff like that. Is there something to

0:55:26.440 --> 0:55:29.759
<v Speaker 1>take that crypto place? Yeah? I think what's really interesting

0:55:29.920 --> 0:55:31.479
<v Speaker 1>is that this is going to be the first time

0:55:31.520 --> 0:55:34.400
<v Speaker 1>in more than three decades that you're gonna see Super

0:55:34.440 --> 0:55:37.680
<v Speaker 1>Bowl ads uh from alcohol brands that are not uh

0:55:37.760 --> 0:55:41.040
<v Speaker 1>Anheuser Busch InBev Um. It was really interesting to find

0:55:41.040 --> 0:55:44.319
<v Speaker 1>out that they had the exclusive rights to be the

0:55:44.360 --> 0:55:47.640
<v Speaker 1>alcohol brand for the Super Bowl since back since nine.

0:55:47.719 --> 0:55:50.480
<v Speaker 1>They gave up those rights in June, So now you're

0:55:50.520 --> 0:55:54.560
<v Speaker 1>gonna see ads from Molson Coors, which owns Miller Lte

0:55:54.560 --> 0:55:56.959
<v Speaker 1>and Chords Light. You're gonna see ads from for Crown

0:55:57.080 --> 0:56:00.160
<v Speaker 1>Royal Whiskey. Um. So you're starting to see more more

0:56:00.200 --> 0:56:02.799
<v Speaker 1>alcohol ads this year. No other alcohol that ever were

0:56:02.800 --> 0:56:05.960
<v Speaker 1>shown trying in a national super Bowl ad. There was

0:56:06.120 --> 0:56:08.960
<v Speaker 1>that they had Antezard Bush and they're famous for their

0:56:09.000 --> 0:56:10.640
<v Speaker 1>ads for the Super Bowl that you think about the

0:56:10.640 --> 0:56:13.680
<v Speaker 1>Gladesdale as you think about the uh, the Frogs. I

0:56:13.680 --> 0:56:16.120
<v Speaker 1>mean there's there's their classics, but they were you know,

0:56:16.160 --> 0:56:19.080
<v Speaker 1>they had the exclusive rights to be the you know,

0:56:19.120 --> 0:56:21.640
<v Speaker 1>the exclusive alcohol brand, and that's over now. So you're

0:56:21.640 --> 0:56:23.759
<v Speaker 1>gonna see more alcohol brands. You're certainly not going to

0:56:23.840 --> 0:56:26.600
<v Speaker 1>see as many crypto ads as we did last year

0:56:26.640 --> 0:56:28.279
<v Speaker 1>when there were so many of them, people called it

0:56:28.320 --> 0:56:33.040
<v Speaker 1>the Crypto Bowl. Um, Tom Brady, Yeah, crypt But I

0:56:33.080 --> 0:56:35.120
<v Speaker 1>think you're gonna I also think you'll see a lot

0:56:35.200 --> 0:56:37.640
<v Speaker 1>of the same players that you see a year after year.

0:56:37.680 --> 0:56:40.400
<v Speaker 1>That Derrito's ad, the Pepsi ads, You're gonna see a

0:56:40.400 --> 0:56:43.760
<v Speaker 1>ton of celebrities, which is pretty standard, and it always

0:56:43.800 --> 0:56:46.839
<v Speaker 1>seems like, you know, the creative departments behind these ads

0:56:46.840 --> 0:56:49.920
<v Speaker 1>are at their peak, you know, creativity for these ads. Uh,

0:56:50.160 --> 0:56:52.319
<v Speaker 1>A few have come out already. Have any catch your

0:56:52.320 --> 0:56:55.359
<v Speaker 1>eyes as especially entertaining so far. Yeah, I mean these

0:56:55.360 --> 0:56:57.839
<v Speaker 1>are this is if you're a creative UM, if you're

0:56:57.840 --> 0:57:01.239
<v Speaker 1>an advertising agency, this is your big moment um. You know.

0:57:01.280 --> 0:57:04.200
<v Speaker 1>One thing that is particularly interesting is this idea of

0:57:04.360 --> 0:57:07.600
<v Speaker 1>UM live betting. UM. There's a lot of sports books

0:57:07.600 --> 0:57:10.359
<v Speaker 1>that are DraftKings and FanDuel have ads. And one thing

0:57:10.400 --> 0:57:13.480
<v Speaker 1>that's particularly interesting is Rob Gronkowski, who was a tight

0:57:13.560 --> 0:57:16.400
<v Speaker 1>end in his playing career. He's now retired. He's going

0:57:16.440 --> 0:57:19.120
<v Speaker 1>to be kicking a attempting to kick a field goal

0:57:19.520 --> 0:57:22.600
<v Speaker 1>uh live uh during the third quarter during a commercial

0:57:22.640 --> 0:57:25.440
<v Speaker 1>for Fan Duel. This is part of this marketing campaign

0:57:25.440 --> 0:57:28.680
<v Speaker 1>that they've had going for several weeks, and you can

0:57:28.720 --> 0:57:30.960
<v Speaker 1>bet on whether he makes the kick or not. UM.

0:57:31.160 --> 0:57:34.160
<v Speaker 1>And it's it's live. It's it's not a taped commercial.

0:57:34.160 --> 0:57:37.760
<v Speaker 1>It's happening live. So that's kind of an innovative way, UM,

0:57:37.800 --> 0:57:39.560
<v Speaker 1>you know, to do it. There's you're gonna see a

0:57:39.600 --> 0:57:43.240
<v Speaker 1>lot of these partnerships. One is Netflix and General Motors,

0:57:43.280 --> 0:57:46.000
<v Speaker 1>where you're gonna Will Ferrell he's gonna be appearing in

0:57:46.600 --> 0:57:49.560
<v Speaker 1>UM episodes of Bridge or Tin or Squid Game, and

0:57:49.560 --> 0:57:53.080
<v Speaker 1>he's gonna be driving electric vehicles that of General Motors

0:57:53.120 --> 0:57:56.560
<v Speaker 1>and that's an interesting partnership. UM. So that's another thing

0:57:56.600 --> 0:57:58.680
<v Speaker 1>that I've I've noticed is just these companies that are

0:57:58.680 --> 0:58:01.160
<v Speaker 1>teaming up in their commercials. We're gonna we're gonna check

0:58:01.200 --> 0:58:04.640
<v Speaker 1>in actually, um with the CEO of Hotel Planner in

0:58:04.680 --> 0:58:07.400
<v Speaker 1>a moment and talk about lining up a hotel if

0:58:07.400 --> 0:58:09.720
<v Speaker 1>you still want to head to the big game. UM.

0:58:10.080 --> 0:58:12.840
<v Speaker 1>Travel companies not so much this year, That's right. I

0:58:12.840 --> 0:58:15.160
<v Speaker 1>think you're gonna see fewer travel companies. And I think

0:58:15.160 --> 0:58:18.360
<v Speaker 1>that's a reflection of a sign of the times where uh,

0:58:18.600 --> 0:58:21.480
<v Speaker 1>you know, customers are people are dealing with inflation, and

0:58:21.640 --> 0:58:24.440
<v Speaker 1>people are just you know, have less money to spend

0:58:24.440 --> 0:58:27.320
<v Speaker 1>on travel. Um. I think you're going to see fewer

0:58:27.560 --> 0:58:30.160
<v Speaker 1>auto commercials than you have in the past. Uh. Those

0:58:30.200 --> 0:58:33.520
<v Speaker 1>can be for various reasons. Um, but yeah, it's it's

0:58:33.520 --> 0:58:36.600
<v Speaker 1>gonna be um. Fox as much as people. You know,

0:58:36.680 --> 0:58:39.600
<v Speaker 1>there's a lot of concern about advertisers pulling back their budgets.

0:58:39.880 --> 0:58:42.960
<v Speaker 1>Fox said that they didn't see that much much of that. Um.

0:58:43.000 --> 0:58:47.000
<v Speaker 1>The Super Bowl still dominates the media landscape, and you know,

0:58:47.120 --> 0:58:49.160
<v Speaker 1>advertisers are still wanting to pay a lot of money

0:58:49.200 --> 0:58:51.360
<v Speaker 1>to be seen on there. I'd hate to be the

0:58:51.440 --> 0:58:54.760
<v Speaker 1>poor m I t grad at traff Kings or Fandel

0:58:55.000 --> 0:58:57.440
<v Speaker 1>that has to set the money line on Grand Kit

0:58:57.520 --> 0:58:58.840
<v Speaker 1>In that field goal, what do you think, Carol? I

0:58:58.880 --> 0:59:02.600
<v Speaker 1>think called make it. I don't know that's that really

0:59:02.640 --> 0:59:06.080
<v Speaker 1>his I want to say, it's like a twenty five

0:59:06.200 --> 0:59:09.360
<v Speaker 1>yard field goal. And he's been training with um, you

0:59:09.400 --> 0:59:13.040
<v Speaker 1>know for weeks, uh with Adam Vinit Terry, So I mean,

0:59:13.080 --> 0:59:15.520
<v Speaker 1>who knows you might get the job with Dallas after

0:59:15.680 --> 0:59:19.880
<v Speaker 1>after that? Oh my god. Paul Brandon's like um eminem

0:59:19.880 --> 0:59:21.760
<v Speaker 1>and the spokes candies are they going to make an

0:59:22.000 --> 0:59:24.560
<v Speaker 1>uh an appearance? Do we know? You know they pull

0:59:24.680 --> 0:59:26.959
<v Speaker 1>those spokes candies And we were all trying to figure

0:59:26.960 --> 0:59:30.240
<v Speaker 1>out is it a Super Bowl campaign? That's a good question.

0:59:30.520 --> 0:59:33.400
<v Speaker 1>I mean what's interesting is that almost all of the

0:59:33.400 --> 0:59:36.440
<v Speaker 1>commercials are released weeks in advance or days in advance

0:59:36.480 --> 0:59:38.760
<v Speaker 1>online and the idea is to try and drum up

0:59:38.800 --> 0:59:41.720
<v Speaker 1>as much conversation as you kind about your brand. But

0:59:41.760 --> 0:59:45.080
<v Speaker 1>there are a few companies that are advertising that are

0:59:45.080 --> 0:59:47.760
<v Speaker 1>going to be surprises. So I guess we just have

0:59:47.840 --> 0:59:50.520
<v Speaker 1>to watch and tune in. Yeah, remember like when Mr

0:59:50.560 --> 0:59:53.720
<v Speaker 1>Peanut like just the rest in peace and that's that's right.

0:59:53.920 --> 0:59:56.919
<v Speaker 1>But it was all all of uh. It's a fun

0:59:56.960 --> 0:59:59.160
<v Speaker 1>part of the game. And we'll I'll be watching. Jerry,

0:59:59.160 --> 1:00:01.240
<v Speaker 1>thank you so much. Erry Smith. He's media reporter at

1:00:01.240 --> 1:00:04.040
<v Speaker 1>Bloomberg News here in our interactive Broker studio. Find him

1:00:04.040 --> 1:00:06.800
<v Speaker 1>on Twitter at Jerry F. Smith. Are you are listening

1:00:06.800 --> 1:00:09.840
<v Speaker 1>in watching Bloomberg Business Week and this is Bloomberg Radio.

1:00:15.520 --> 1:00:19.080
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:00:19.120 --> 1:00:22.800
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

1:00:23.000 --> 1:00:25.920
<v Speaker 1>the Bloomberg Business app, and you too. You can also

1:00:26.000 --> 1:00:29.920
<v Speaker 1>listen live to our flagship New York station, Just Say Alexa,

1:00:30.120 --> 1:00:34.600
<v Speaker 1>Play Bloomberg, Elove and Dirty. We also wanted to bring

1:00:34.680 --> 1:00:37.320
<v Speaker 1>to you someone we caught a went back in December

1:00:37.360 --> 1:00:39.560
<v Speaker 1>when we were live on the Stanford campus to mark

1:00:39.600 --> 1:00:42.000
<v Speaker 1>the Stanford Graduate School of Business, big name once again

1:00:42.240 --> 1:00:45.000
<v Speaker 1>by Bloomberg Business Week is the top NBA program in

1:00:45.040 --> 1:00:47.680
<v Speaker 1>the US. We had a conversation live on air, and

1:00:47.720 --> 1:00:49.640
<v Speaker 1>we knew Tim we wanted to talk a little bit

1:00:49.640 --> 1:00:52.480
<v Speaker 1>more with him. It's PAULA. Wayer, Senior Associate Dean at

1:00:52.480 --> 1:00:55.280
<v Speaker 1>the Stanford Graduate School of Business, Professor of Economics, also

1:00:55.280 --> 1:00:58.200
<v Speaker 1>the author of an Economist Goes to the Game, how

1:00:58.200 --> 1:01:01.520
<v Speaker 1>to throw Away five eighty million dollars and other surprising

1:01:01.520 --> 1:01:03.920
<v Speaker 1>insights from the economics of sports. He joins us via

1:01:03.960 --> 1:01:06.720
<v Speaker 1>zoom from Stanford, California. Professor, are good to have you

1:01:06.720 --> 1:01:09.280
<v Speaker 1>back with us. How are you great to talk to

1:01:09.360 --> 1:01:12.320
<v Speaker 1>you again. Thanks for joining us. We we promised we'd

1:01:12.360 --> 1:01:13.840
<v Speaker 1>do more with you, and we're eager to have you

1:01:13.840 --> 1:01:16.080
<v Speaker 1>back this afternoon because we got so much to talk about,

1:01:16.320 --> 1:01:18.640
<v Speaker 1>especially with regard to your book. But before we get

1:01:18.680 --> 1:01:20.960
<v Speaker 1>to your you know what's in the book. I want

1:01:21.000 --> 1:01:23.160
<v Speaker 1>to know what got you to write this book, Like

1:01:23.200 --> 1:01:26.640
<v Speaker 1>what was the number that you ran across that this

1:01:26.720 --> 1:01:29.000
<v Speaker 1>light bulb went off in your head and you said, Okay,

1:01:29.040 --> 1:01:32.040
<v Speaker 1>there's there's so many inefficiencies when it comes to the

1:01:32.080 --> 1:01:37.320
<v Speaker 1>way that people think about sports. It could fill a book. Yeah,

1:01:37.600 --> 1:01:40.480
<v Speaker 1>I that's I don't think there was any one moment,

1:01:40.520 --> 1:01:43.480
<v Speaker 1>although if maybe it was thinking about kids sports the

1:01:43.520 --> 1:01:46.960
<v Speaker 1>first chapter of Youth Sports, which um may have been

1:01:47.200 --> 1:01:50.880
<v Speaker 1>what really drew me into this, having kids and taking

1:01:50.880 --> 1:01:52.760
<v Speaker 1>them to do sports and thinking about whether that was

1:01:52.800 --> 1:01:55.280
<v Speaker 1>a good use of resources or not. So I think

1:01:55.320 --> 1:01:57.400
<v Speaker 1>that may have really gotten me into it. Also, when

1:01:57.440 --> 1:02:01.720
<v Speaker 1>I started the book, my son was UM in college

1:02:01.720 --> 1:02:03.720
<v Speaker 1>and he helped me with a lot of the original research.

1:02:03.760 --> 1:02:05.800
<v Speaker 1>There was a good chance for us to work together.

1:02:06.160 --> 1:02:08.480
<v Speaker 1>He doesn't have much interest in economics, but he has

1:02:08.480 --> 1:02:11.000
<v Speaker 1>a lot of interest in sports, so so it was

1:02:11.280 --> 1:02:14.040
<v Speaker 1>a good chance to get to do some spend time

1:02:14.080 --> 1:02:17.240
<v Speaker 1>with him while calling it work. Is your kid a

1:02:17.240 --> 1:02:24.800
<v Speaker 1>pro athlete? Sorry? He was on the Gun High school

1:02:24.840 --> 1:02:27.360
<v Speaker 1>baseball team. The reason I ask is because the first

1:02:27.440 --> 1:02:31.520
<v Speaker 1>chapter is should you help your kid become a pro athlete? Yeah?

1:02:31.600 --> 1:02:35.520
<v Speaker 1>You should not. UM, Well, it depends, that's where the

1:02:35.600 --> 1:02:38.600
<v Speaker 1>chapter is. It depends. But for most kids the answer

1:02:38.720 --> 1:02:42.360
<v Speaker 1>is no, you don't want to. UM. It's not the

1:02:42.400 --> 1:02:44.800
<v Speaker 1>best use of funds to try to help your kids

1:02:44.800 --> 1:02:48.120
<v Speaker 1>become a pro athlete. It is kind of shocking, though,

1:02:48.240 --> 1:02:49.840
<v Speaker 1>I have to say, I remember we talked with you.

1:02:49.920 --> 1:02:53.880
<v Speaker 1>That really resonated with me, because you know, I've seen

1:02:53.960 --> 1:02:57.440
<v Speaker 1>it in people I know where they're like Johnny or

1:02:57.480 --> 1:02:59.560
<v Speaker 1>Susan they're gonna be the best and they're gonna go

1:02:59.640 --> 1:03:01.440
<v Speaker 1>pro o and da da da da da, and they

1:03:01.480 --> 1:03:04.680
<v Speaker 1>never do because the odds are stacked against them. And

1:03:04.840 --> 1:03:12.040
<v Speaker 1>I just find it interesting. Well, it is troubling if

1:03:12.080 --> 1:03:14.960
<v Speaker 1>you give up other things. So if you sort of

1:03:15.040 --> 1:03:17.400
<v Speaker 1>do it as I'm gonna learn a lot, I'm going

1:03:17.440 --> 1:03:19.520
<v Speaker 1>to really focus on sports and that will help me

1:03:19.600 --> 1:03:22.880
<v Speaker 1>be more disciplined and other things that might come out

1:03:22.880 --> 1:03:24.520
<v Speaker 1>of it. There's not a lot of evidence that that

1:03:24.600 --> 1:03:26.640
<v Speaker 1>helps you in the labor market later in life, by

1:03:26.640 --> 1:03:29.560
<v Speaker 1>the way, but at least if you don't go all in,

1:03:29.800 --> 1:03:32.040
<v Speaker 1>you can see the argument for it. What if it

1:03:32.080 --> 1:03:35.360
<v Speaker 1>helps you get into college, that is a big So

1:03:35.400 --> 1:03:37.080
<v Speaker 1>I think that if you're going to make the case

1:03:37.640 --> 1:03:39.600
<v Speaker 1>for if you're going to make the case for investing

1:03:39.600 --> 1:03:41.840
<v Speaker 1>in your sports career as a kid, I think you

1:03:41.880 --> 1:03:44.920
<v Speaker 1>need one of two things. You either need to argue

1:03:44.960 --> 1:03:47.000
<v Speaker 1>it's going to help you get into college, And one

1:03:47.000 --> 1:03:49.360
<v Speaker 1>of my economist friends says, if you're going to do that,

1:03:49.800 --> 1:03:52.600
<v Speaker 1>you should get your kid into fencing. The fencing is

1:03:52.640 --> 1:03:55.720
<v Speaker 1>a particularly good way to help you get into a good,

1:03:55.960 --> 1:04:00.360
<v Speaker 1>uh and elite college. So getting into college is one thing,

1:04:00.440 --> 1:04:02.400
<v Speaker 1>and in the book I go into that. Of course,

1:04:02.560 --> 1:04:05.520
<v Speaker 1>it's it's hard to even show a lot of evidence

1:04:05.560 --> 1:04:09.840
<v Speaker 1>that that there's a big advantage to that, because, um,

1:04:09.880 --> 1:04:12.120
<v Speaker 1>it might get you into a slightly better college. But

1:04:12.200 --> 1:04:16.920
<v Speaker 1>economists generally aren't sure that the quality of the college

1:04:17.400 --> 1:04:20.200
<v Speaker 1>on the margin makes that much difference. So if the

1:04:20.280 --> 1:04:24.280
<v Speaker 1>same kid goes to Ohio State or Harvard, it's not

1:04:24.400 --> 1:04:27.800
<v Speaker 1>a complete given that it has a big difference on

1:04:27.840 --> 1:04:30.200
<v Speaker 1>their outcomes. And yet you do say, what if your

1:04:30.280 --> 1:04:33.560
<v Speaker 1>kid is Kevin Durant. So that's the other So I

1:04:33.600 --> 1:04:35.520
<v Speaker 1>said there were two reasons you might do it. One

1:04:35.560 --> 1:04:37.720
<v Speaker 1>is college and the other is if your kid is

1:04:37.800 --> 1:04:41.240
<v Speaker 1>six ft eight and very coordinated at age thirteen, then

1:04:41.280 --> 1:04:45.320
<v Speaker 1>the odds changed dramatically. Um. So Kevin Durant is a

1:04:45.640 --> 1:04:47.520
<v Speaker 1>is a wonderful example that I go into in the

1:04:47.560 --> 1:04:51.000
<v Speaker 1>book because he has a bunch of He has a

1:04:51.040 --> 1:04:53.680
<v Speaker 1>bunch of things in favor of him becoming a star.

1:04:53.920 --> 1:04:56.600
<v Speaker 1>One is, well, the reasons he became a star with

1:04:56.800 --> 1:04:59.960
<v Speaker 1>his physique, just the fact that he's such a gifted athlete.

1:05:00.040 --> 1:05:02.919
<v Speaker 1>Andy happens to be six ft eight inches tall as

1:05:03.240 --> 1:05:06.600
<v Speaker 1>as they as the basketball players say, you can't learned taul.

1:05:07.400 --> 1:05:12.880
<v Speaker 1>So he had that advantage going him. Um and then um.

1:05:12.960 --> 1:05:15.480
<v Speaker 1>But the other thing, the other thing about Kevin Durant

1:05:15.560 --> 1:05:19.160
<v Speaker 1>is the calculus is slightly different if you're if you

1:05:19.240 --> 1:05:22.800
<v Speaker 1>come from a background where your labor market prospects may

1:05:22.840 --> 1:05:27.120
<v Speaker 1>not be as great. And so, given how hard it

1:05:27.240 --> 1:05:29.640
<v Speaker 1>is to move up the socio economic ladder in the

1:05:29.680 --> 1:05:33.000
<v Speaker 1>United States for you know, reasons you've probably talked about

1:05:33.040 --> 1:05:36.360
<v Speaker 1>on your show before, the economic mobility isn't what we

1:05:36.400 --> 1:05:39.160
<v Speaker 1>would hope it would be. Um, and so if you

1:05:39.240 --> 1:05:43.320
<v Speaker 1>come from a really tough background, sports might be looked

1:05:43.360 --> 1:05:46.560
<v Speaker 1>like a better way to really jump to a higher

1:05:46.560 --> 1:05:50.800
<v Speaker 1>income distribution relative to more traditional ways in the labor market.

1:05:50.800 --> 1:05:54.960
<v Speaker 1>And Kevin Durant came from a very humble background, and

1:05:54.960 --> 1:05:59.080
<v Speaker 1>and um, you know, if you just sort of statistically

1:05:59.080 --> 1:06:01.880
<v Speaker 1>looked at what is future might have been like without sports,

1:06:02.160 --> 1:06:05.160
<v Speaker 1>it may not. You know, it wasn't a rosy picture. Yeah,

1:06:05.160 --> 1:06:07.720
<v Speaker 1>I think of like you know, Venus and Serena Williams.

1:06:07.840 --> 1:06:10.040
<v Speaker 1>I mean, and they obviously had a dad that was

1:06:10.120 --> 1:06:12.200
<v Speaker 1>very driven, in a family that was supportive, and it

1:06:12.280 --> 1:06:15.080
<v Speaker 1>was a tough background. But it's you know, you wonder

1:06:15.120 --> 1:06:17.560
<v Speaker 1>how much of it is it because of the dad

1:06:17.560 --> 1:06:19.760
<v Speaker 1>and pushing them, how much of it was just you know,

1:06:19.880 --> 1:06:22.120
<v Speaker 1>natural skill. I mean, there's a there's a lot that

1:06:22.160 --> 1:06:24.200
<v Speaker 1>has to be taken into considering. Can you answer that

1:06:24.600 --> 1:06:29.520
<v Speaker 1>professor that you know the nature versus nurture debate here, Well, yeah,

1:06:29.640 --> 1:06:31.720
<v Speaker 1>I mean, I think it's easy to answer it in

1:06:31.800 --> 1:06:34.880
<v Speaker 1>basketball because the answer is, if you're six ft eight,

1:06:34.880 --> 1:06:38.080
<v Speaker 1>your odds of getting for the NBA are just like

1:06:38.560 --> 1:06:41.160
<v Speaker 1>wildly higher than if you're six ft tall. So in

1:06:41.200 --> 1:06:44.240
<v Speaker 1>the book, I talked about Russell Westbrook, who went as

1:06:44.280 --> 1:06:48.240
<v Speaker 1>a kid into much the same investment mode as Kevin Durant.

1:06:48.280 --> 1:06:50.880
<v Speaker 1>His family went all in on basketball, and of course

1:06:50.880 --> 1:06:52.400
<v Speaker 1>it paid off for both of them. But if you

1:06:52.480 --> 1:06:56.560
<v Speaker 1>looked before they made those investments, Kevin Durant probably made

1:06:56.560 --> 1:07:00.520
<v Speaker 1>a rational investment. Russell Westbrook probably got lucky, meaning a

1:07:00.640 --> 1:07:05.400
<v Speaker 1>six There are tons of athletics six foot kids, and

1:07:05.440 --> 1:07:08.520
<v Speaker 1>the vast, vast majority of them never get to the NBA.

1:07:08.800 --> 1:07:12.000
<v Speaker 1>There are not that many six ft eight thirteen year

1:07:12.000 --> 1:07:15.200
<v Speaker 1>old and a substantial fraction of them get to the NBA.

1:07:15.440 --> 1:07:20.800
<v Speaker 1>So Venus and Serena again probably obviously worked out amazing.

1:07:21.120 --> 1:07:23.600
<v Speaker 1>But if you were to try to run the numbers,

1:07:24.160 --> 1:07:27.480
<v Speaker 1>was that a good investment beforehand? I think you would.

1:07:27.680 --> 1:07:29.680
<v Speaker 1>I think you would have to say it wasn't. But

1:07:29.760 --> 1:07:32.000
<v Speaker 1>it just paid off. It did end up paying off

1:07:32.040 --> 1:07:34.920
<v Speaker 1>really well. Obviously we're gonna go into more chapters. Just

1:07:35.000 --> 1:07:36.600
<v Speaker 1>got a minute before we have to take a break

1:07:36.600 --> 1:07:38.680
<v Speaker 1>and then we'll come back and continue. But as someone

1:07:38.720 --> 1:07:41.800
<v Speaker 1>who is Czechoslovaki and I love this chapter two, what

1:07:41.840 --> 1:07:44.920
<v Speaker 1>do Silicon Valley and Check Women's Tennis have in commons?

1:07:44.960 --> 1:07:46.640
<v Speaker 1>So you've got a minute to talk about it. Then

1:07:46.640 --> 1:07:50.200
<v Speaker 1>we'll talk some more. But what is the connection? Just quickly, well,

1:07:50.280 --> 1:07:53.640
<v Speaker 1>very quickly, I like to say, um, check women's tennis

1:07:53.760 --> 1:07:57.480
<v Speaker 1>is this is like uh, Silicon Valley. There's not a

1:07:57.640 --> 1:08:00.640
<v Speaker 1>natural reason why check women should be so great, but

1:08:00.720 --> 1:08:04.080
<v Speaker 1>there's a combination of historical accidents and then these network

1:08:04.160 --> 1:08:07.560
<v Speaker 1>effects where the Check women sort of push each other.

1:08:08.120 --> 1:08:11.760
<v Speaker 1>Check girls push each other so hard that they end

1:08:11.840 --> 1:08:15.720
<v Speaker 1>up becoming just great tennis players. There's no natural reason

1:08:15.800 --> 1:08:17.960
<v Speaker 1>they should be any good. You know, if you look

1:08:18.000 --> 1:08:21.360
<v Speaker 1>at why are Norwegian so good across country skiing as

1:08:21.360 --> 1:08:23.040
<v Speaker 1>you do, as I do in the book, there's a

1:08:23.040 --> 1:08:25.880
<v Speaker 1>lot more of a natural reason for that. But economic

1:08:26.000 --> 1:08:31.720
<v Speaker 1>networks and economic competition really can lead to dynast What

1:08:31.800 --> 1:08:35.320
<v Speaker 1>about the weather as well, Well, the weather doesn't work

1:08:35.360 --> 1:08:38.559
<v Speaker 1>for the Check story. It's the Norwegian story. I know

1:08:38.600 --> 1:08:40.320
<v Speaker 1>what the answer is because my family is two kids

1:08:40.400 --> 1:08:43.120
<v Speaker 1>that check women were strong like bull So that's why

1:08:43.800 --> 1:08:45.400
<v Speaker 1>you know, I'm just kidding. I'm just kidding, But we

1:08:45.400 --> 1:08:47.439
<v Speaker 1>did used to say that at home with us. Paul Ayer,

1:08:47.680 --> 1:08:50.639
<v Speaker 1>he senior Associate dean and economics professor at the Stanford

1:08:50.640 --> 1:08:53.920
<v Speaker 1>Graduate School of Business. We're talking about his book and

1:08:54.000 --> 1:08:56.320
<v Speaker 1>economist goes to the game how to throw Away five

1:08:56.760 --> 1:09:00.520
<v Speaker 1>eight million dollars and other Surprising Insights from the Economics

1:09:00.560 --> 1:09:02.880
<v Speaker 1>of Sports five eighty million dollars. Wait, wait, where'd that

1:09:02.960 --> 1:09:08.519
<v Speaker 1>number come from? So that's an estimate I calculated based

1:09:08.560 --> 1:09:11.720
<v Speaker 1>on the strike at the NBA, and I believe it

1:09:11.760 --> 1:09:16.040
<v Speaker 1>was two thousand eleven. So, um, there was a maybe

1:09:16.040 --> 1:09:18.640
<v Speaker 1>a more up to date version to talk about was

1:09:18.680 --> 1:09:21.160
<v Speaker 1>there was a strike in Major League Baseball at the

1:09:21.200 --> 1:09:23.519
<v Speaker 1>beginning of the most recent season, and if you remember

1:09:23.800 --> 1:09:27.200
<v Speaker 1>last spring training, not a strike. Sorry, I lock both cases.

1:09:27.240 --> 1:09:30.120
<v Speaker 1>It was a lockout, not a strike. So the point

1:09:30.240 --> 1:09:33.719
<v Speaker 1>in whether talking about the NBA or Major League Baseball

1:09:33.800 --> 1:09:37.000
<v Speaker 1>or whatever, is you see in sports, and this is

1:09:37.000 --> 1:09:40.639
<v Speaker 1>a broader thing. You see it in other collective bargaining

1:09:40.640 --> 1:09:46.439
<v Speaker 1>agreement situations where um, you get these two these two

1:09:46.479 --> 1:09:49.240
<v Speaker 1>groups in the case of sports. It's the owners and

1:09:49.320 --> 1:09:53.679
<v Speaker 1>the players union, and they rely so much on each

1:09:53.720 --> 1:09:57.400
<v Speaker 1>other there their options are so much better if they

1:09:57.439 --> 1:09:59.880
<v Speaker 1>work together than if they split up. But at the

1:10:00.040 --> 1:10:03.160
<v Speaker 1>same time, they can't help themselves from trying to steal

1:10:03.160 --> 1:10:05.880
<v Speaker 1>a bigger share of the pie. It's a It's a

1:10:05.960 --> 1:10:09.680
<v Speaker 1>very common thing in economics where you have these bilateral

1:10:09.720 --> 1:10:12.960
<v Speaker 1>agreements where there's a lot of value captured by the

1:10:13.200 --> 1:10:16.840
<v Speaker 1>by the agreement, and you don't want to mess it up,

1:10:16.840 --> 1:10:19.120
<v Speaker 1>but at the same time you can't help but try

1:10:19.120 --> 1:10:21.599
<v Speaker 1>to take too much, and when that leads to a lockout,

1:10:21.600 --> 1:10:24.000
<v Speaker 1>as it did in the NBA, it's sometimes it's just

1:10:24.080 --> 1:10:28.320
<v Speaker 1>like literally, the NBA and the players pretty much just

1:10:28.439 --> 1:10:31.479
<v Speaker 1>burned a pile of five million dollars that they'll never

1:10:31.560 --> 1:10:36.599
<v Speaker 1>get back. Okay, it's a lot of money. I want

1:10:36.600 --> 1:10:39.679
<v Speaker 1>to I want to talk cheating. I want to talk cheating. Okay.

1:10:40.000 --> 1:10:42.960
<v Speaker 1>There's an entire chapter in your book dedicated to cheating,

1:10:43.680 --> 1:10:46.920
<v Speaker 1>and it talks about Lance Armstrong and the way that

1:10:47.439 --> 1:10:49.200
<v Speaker 1>it asked the question about whether or not you can

1:10:49.240 --> 1:10:54.080
<v Speaker 1>actually win the Tour de France if you're not doping. Um,

1:10:54.280 --> 1:11:00.000
<v Speaker 1>take us into this chapter and why athletes cheat, so um,

1:11:00.000 --> 1:11:02.800
<v Speaker 1>they they You only got half of it. I like

1:11:02.920 --> 1:11:05.280
<v Speaker 1>to think that chapter is about why they cheat and lie.

1:11:05.520 --> 1:11:11.960
<v Speaker 1>Oh sorry, excuse me, said they cheat and lie because

1:11:12.000 --> 1:11:14.679
<v Speaker 1>the incentives there are very strong. I mean we see

1:11:14.720 --> 1:11:17.599
<v Speaker 1>this in other places as well, when when we set

1:11:17.680 --> 1:11:21.120
<v Speaker 1>up rules that we can't enforce and the value of

1:11:21.200 --> 1:11:24.760
<v Speaker 1>breaking those rules is really high, people are going to

1:11:24.800 --> 1:11:27.960
<v Speaker 1>break them. And it's sad because that's human nature, but

1:11:28.000 --> 1:11:30.840
<v Speaker 1>it's what we need to expect. And you know, if

1:11:30.840 --> 1:11:33.400
<v Speaker 1>you there was a period of time, I don't know,

1:11:33.439 --> 1:11:35.880
<v Speaker 1>maybe the testing is better now, but there was a

1:11:35.880 --> 1:11:37.880
<v Speaker 1>period of time where you had to cheat to whin

1:11:37.960 --> 1:11:40.680
<v Speaker 1>they to win the toward to France and to win

1:11:40.800 --> 1:11:44.519
<v Speaker 1>certain sprinting events in track and field. It's just every

1:11:44.600 --> 1:11:47.000
<v Speaker 1>single person who won over a long period of time

1:11:47.000 --> 1:11:50.840
<v Speaker 1>and both those sports was taking steroids and lying about it.

1:11:51.479 --> 1:11:54.519
<v Speaker 1>And what the reason it happens is, it's just simple

1:11:54.560 --> 1:11:58.080
<v Speaker 1>prisoners dilemmas, straight out of your most basic college game

1:11:58.160 --> 1:12:01.320
<v Speaker 1>theory class. If you don't cheat, there was no way

1:12:01.360 --> 1:12:04.200
<v Speaker 1>you were going to win, and the incentives from winning

1:12:04.280 --> 1:12:06.679
<v Speaker 1>were so are so large. I mean, think about it,

1:12:06.760 --> 1:12:08.800
<v Speaker 1>what was Lance Armstrong going to do if he wasn't

1:12:08.840 --> 1:12:11.920
<v Speaker 1>a champion biker. His next best option was not making

1:12:12.479 --> 1:12:14.840
<v Speaker 1>a little bit less than he made. As are you

1:12:14.880 --> 1:12:19.280
<v Speaker 1>see the ends justify the means. Well, I'm not saying

1:12:19.520 --> 1:12:22.840
<v Speaker 1>this is an advice. This is um you know, it's descriptive.

1:12:22.920 --> 1:12:26.280
<v Speaker 1>It's not prescriptive. I'm not telling you to lie ar cheap,

1:12:26.320 --> 1:12:29.080
<v Speaker 1>but I will tell you that in situations like the

1:12:29.080 --> 1:12:31.439
<v Speaker 1>Tour de Front, you have to recognize that your opponents

1:12:31.479 --> 1:12:33.920
<v Speaker 1>will be cheating, and so you do have to think

1:12:33.960 --> 1:12:36.599
<v Speaker 1>about that. It's interesting though, because it's not just kids

1:12:36.640 --> 1:12:38.400
<v Speaker 1>around the world are not listening to me. But what

1:12:38.439 --> 1:12:40.920
<v Speaker 1>I think is pretty remarkable about this is is it

1:12:40.960 --> 1:12:42.759
<v Speaker 1>is just numbers at the end of the day. Because

1:12:42.760 --> 1:12:46.240
<v Speaker 1>there are downsides to to pumping your body full of

1:12:46.280 --> 1:12:51.120
<v Speaker 1>these bad substances. There are downsides to uh blood transfusion

1:12:51.880 --> 1:12:54.040
<v Speaker 1>that you do on the road with blood that you

1:12:54.040 --> 1:12:57.479
<v Speaker 1>know was taken from your body uh months earlier when

1:12:57.479 --> 1:13:00.120
<v Speaker 1>you weren't so tired. I mean, bad things can up

1:13:00.160 --> 1:13:02.360
<v Speaker 1>in to you. Yeah. So, so keep in mind that

1:13:02.400 --> 1:13:04.479
<v Speaker 1>not everybody will lie in cheat. A lot of people

1:13:04.479 --> 1:13:07.320
<v Speaker 1>who could have been great bikers will see that the

1:13:07.360 --> 1:13:09.040
<v Speaker 1>only way they can get ahead is to lie to

1:13:09.160 --> 1:13:11.680
<v Speaker 1>cheat and they take and they have they place a

1:13:11.760 --> 1:13:14.559
<v Speaker 1>high cost on the things you just mentioned, either the

1:13:14.640 --> 1:13:17.680
<v Speaker 1>long term damages or just they have moral qualms. They're like,

1:13:17.720 --> 1:13:20.720
<v Speaker 1>I can't do that. And so for those people they

1:13:20.760 --> 1:13:23.200
<v Speaker 1>put it into their own personal calculus and they say,

1:13:23.240 --> 1:13:25.439
<v Speaker 1>I'm not gonna lie in cheat. Now they don't become

1:13:26.200 --> 1:13:31.160
<v Speaker 1>um famous famous um bikers as a result. So it's

1:13:31.200 --> 1:13:33.640
<v Speaker 1>absolutely the case that there are cost to this and

1:13:33.680 --> 1:13:35.639
<v Speaker 1>a lot of people just opt out of the system

1:13:35.640 --> 1:13:37.640
<v Speaker 1>when that's the case. Hey, one thing I want to

1:13:37.640 --> 1:13:39.439
<v Speaker 1>get to and maybe because we were all obsessed with

1:13:39.680 --> 1:13:42.599
<v Speaker 1>Taylor Swift last week and you know, trying to get

1:13:42.600 --> 1:13:45.320
<v Speaker 1>tickets for a concert, I couldn't get one bummer bummer.

1:13:45.360 --> 1:13:49.000
<v Speaker 1>But anyway, we're looking at you know, um getting tickets

1:13:49.040 --> 1:13:51.280
<v Speaker 1>for for things, and I'm assuming sports games as well,

1:13:51.360 --> 1:13:53.160
<v Speaker 1>especially when you know, we get to something like the

1:13:53.160 --> 1:13:56.000
<v Speaker 1>super Bowl or the playoffs, things get a little pricy.

1:13:56.160 --> 1:13:58.599
<v Speaker 1>You have a chapter that talks about ticket scalpers making

1:13:58.600 --> 1:14:00.920
<v Speaker 1>the world a better place? Is that a question mark?

1:14:01.000 --> 1:14:04.960
<v Speaker 1>Are affirmative? Well, I mean I wouldn't say that about

1:14:04.960 --> 1:14:08.000
<v Speaker 1>every single ticket scalper, but as a collective they do now,

1:14:08.040 --> 1:14:10.240
<v Speaker 1>not the not the ones who go out and use

1:14:10.360 --> 1:14:14.040
<v Speaker 1>bots to and and make every waste everybody's time. But

1:14:14.120 --> 1:14:17.000
<v Speaker 1>the traditional ticket scalper, the old days when you would

1:14:17.000 --> 1:14:18.920
<v Speaker 1>go to a shop and buy and sell tickets, or

1:14:18.960 --> 1:14:22.479
<v Speaker 1>go on eBay StubHub and buy and sell tickets that

1:14:22.600 --> 1:14:25.800
<v Speaker 1>people just had extra tickets and wanted to resell them.

1:14:25.840 --> 1:14:28.799
<v Speaker 1>There's a lot of value in that right. Just more broadly,

1:14:28.920 --> 1:14:33.040
<v Speaker 1>resale markets are really good. They transfer items from somebody

1:14:33.040 --> 1:14:35.639
<v Speaker 1>who values them less to somebody who values them more.

1:14:36.000 --> 1:14:38.360
<v Speaker 1>So if you have a ticket to a game and

1:14:38.439 --> 1:14:41.320
<v Speaker 1>you know your kids soccer team is going to play

1:14:41.400 --> 1:14:44.000
<v Speaker 1>some playoff that day and you want to resell that ticket,

1:14:44.120 --> 1:14:46.040
<v Speaker 1>that is great that you have the ability to go

1:14:46.080 --> 1:14:49.559
<v Speaker 1>on StubHub and make somebody's day where they were dying

1:14:49.560 --> 1:14:51.559
<v Speaker 1>to have a ticket to that game, and now you're

1:14:51.600 --> 1:14:53.439
<v Speaker 1>both better off. You have some money and you go

1:14:53.520 --> 1:14:56.920
<v Speaker 1>to your kids game and that other person goes to

1:14:57.040 --> 1:14:59.840
<v Speaker 1>the professional sports game that you sold them a ticket

1:14:59.840 --> 1:15:03.960
<v Speaker 1>for resale is fantastic. And the middle people who make

1:15:04.000 --> 1:15:07.360
<v Speaker 1>that happen, which now is more stubbub but traditionally was

1:15:07.800 --> 1:15:12.839
<v Speaker 1>ticket scalpers or ticket agents, those those people are providing

1:15:12.880 --> 1:15:16.879
<v Speaker 1>a really valuable service. You know, it's not just tickets,

1:15:16.920 --> 1:15:19.920
<v Speaker 1>it's used cars, it's all sorts of increasingly Ticketmasters getting

1:15:19.920 --> 1:15:21.719
<v Speaker 1>into it as well. I mean you can you can

1:15:21.760 --> 1:15:26.080
<v Speaker 1>buy and sell tickets on that platform. Yeah, and so

1:15:26.160 --> 1:15:29.519
<v Speaker 1>they're there in lies the problem right with Ticketmaster. I'm

1:15:29.520 --> 1:15:31.960
<v Speaker 1>not as crazy about ticket Master and some of what's

1:15:31.960 --> 1:15:35.479
<v Speaker 1>going on there because what happened is traditional ticket scalping,

1:15:35.479 --> 1:15:38.599
<v Speaker 1>where you have a vibrant and fragmented market with a

1:15:38.600 --> 1:15:42.280
<v Speaker 1>lot of competition. That's good. What what gets ruined is

1:15:42.320 --> 1:15:46.479
<v Speaker 1>when somebody gets exclusive rights to resale or exclusive rights

1:15:46.479 --> 1:15:49.960
<v Speaker 1>to you know, Ticketmaster is now sort of has arrangements

1:15:49.960 --> 1:15:52.040
<v Speaker 1>where they'll sell the ticket and you have to resell

1:15:52.080 --> 1:15:54.719
<v Speaker 1>it through them, and and that I'm not as excited

1:15:54.760 --> 1:15:58.799
<v Speaker 1>about because then you start having more um uh, pricing

1:15:58.840 --> 1:16:02.840
<v Speaker 1>power in the part of a single entity. All right, Paul,

1:16:03.120 --> 1:16:05.080
<v Speaker 1>one last question, what's the FED gonna do? No, I'm

1:16:05.120 --> 1:16:06.920
<v Speaker 1>just kidding. I'm just kidding. We're not going to talk

1:16:06.960 --> 1:16:09.960
<v Speaker 1>about that. We did two segments without talking about, Hey,

1:16:10.000 --> 1:16:12.920
<v Speaker 1>there there are more chapters. Are athletes worth all that money?

1:16:12.960 --> 1:16:15.400
<v Speaker 1>If your hometown hosts the Olympics? This is really a

1:16:15.600 --> 1:16:19.840
<v Speaker 1>fun game. A proliferation of French Canadian goalies. Um such

1:16:19.840 --> 1:16:21.760
<v Speaker 1>a fun read and just plays into I mean, we

1:16:21.760 --> 1:16:23.680
<v Speaker 1>talked about the business and sports all the time, and

1:16:23.720 --> 1:16:26.320
<v Speaker 1>there's a lot of really thoughtful chapters in his book.

1:16:26.360 --> 1:16:28.519
<v Speaker 1>Paul Oyer, thank you so much. Fun to catch up

1:16:28.520 --> 1:16:31.839
<v Speaker 1>with you again. He is Senior Associate Dean Economics Professor

1:16:31.920 --> 1:16:33.880
<v Speaker 1>at the Stanford Graduate School of Business. Check out his

1:16:33.920 --> 1:16:36.479
<v Speaker 1>book and Economists Goes to the Game, how to throw

1:16:36.479 --> 1:16:39.599
<v Speaker 1>Away five eighty million dollars and other surprising insights from

1:16:39.600 --> 1:16:47.759
<v Speaker 1>the economics of sports. Right here on Bloomberg, you're listening

1:16:47.800 --> 1:16:51.600
<v Speaker 1>to the Bloomberg Business Week Podcast. Catch us live weekdays

1:16:51.640 --> 1:16:54.680
<v Speaker 1>from two to five pm Easter on Bloomberg Radio, the

1:16:54.680 --> 1:16:58.240
<v Speaker 1>Bloomberg Business Band You too. You can also listen live

1:16:58.320 --> 1:17:01.960
<v Speaker 1>to our flagship New York station, Just Say Alexa Play

1:17:02.040 --> 1:17:05.400
<v Speaker 1>Bloomberg e Love and Dirty. I wanted to get to

1:17:05.439 --> 1:17:07.800
<v Speaker 1>a guest because it was a story I think you

1:17:07.840 --> 1:17:10.960
<v Speaker 1>could safely say heard around the world. We're talking about

1:17:11.000 --> 1:17:14.000
<v Speaker 1>a story by Bloomberg Business Weeks Ashley Vance. He wrote

1:17:14.040 --> 1:17:16.600
<v Speaker 1>it on the forty five year old Tech sent a

1:17:16.600 --> 1:17:19.200
<v Speaker 1>millionaire who is spending some two million dollars a year

1:17:19.240 --> 1:17:22.360
<v Speaker 1>to be eighteen years old again. In a project known

1:17:22.479 --> 1:17:25.439
<v Speaker 1>as Blueprint. We love talking with Ashley about the story

1:17:25.640 --> 1:17:27.760
<v Speaker 1>and the time he spent with Brian Johnson so much

1:17:27.800 --> 1:17:29.160
<v Speaker 1>so that we knew we wanted to go straight to

1:17:29.160 --> 1:17:31.679
<v Speaker 1>the source. So with us right now is Brian Johnson,

1:17:31.720 --> 1:17:34.840
<v Speaker 1>who is the founder and CEO Blueprint, CEO of Colonel

1:17:34.880 --> 1:17:37.639
<v Speaker 1>and Os Fund, and he joins us via zoom from

1:17:37.640 --> 1:17:39.599
<v Speaker 1>Los Angeles. Brian, it is good to have you here

1:17:39.600 --> 1:17:42.720
<v Speaker 1>with Mike and myself. How are you? I'm great, Thank

1:17:42.760 --> 1:17:44.479
<v Speaker 1>you for having me. Well, tell us a little bit

1:17:44.479 --> 1:17:49.040
<v Speaker 1>about your mission and why you wanted to do this

1:17:49.160 --> 1:17:51.080
<v Speaker 1>and and I know we're kind of hitting it hard

1:17:51.080 --> 1:17:53.840
<v Speaker 1>and cold. We've talked about it for our listeners and

1:17:53.880 --> 1:17:57.080
<v Speaker 1>our audience before, about spending about two million dollars a

1:17:57.160 --> 1:18:00.400
<v Speaker 1>year to be eighteen years old. Again, why did you

1:18:00.400 --> 1:18:03.120
<v Speaker 1>want to do this? I mean that the Fountain of

1:18:03.160 --> 1:18:05.720
<v Speaker 1>Youth is a story as oldest humanity, and typically the

1:18:05.720 --> 1:18:08.080
<v Speaker 1>story is a group of people in a boat going

1:18:08.120 --> 1:18:10.880
<v Speaker 1>to the jungle, traveling to a temple with some of

1:18:11.040 --> 1:18:14.120
<v Speaker 1>some elixir that they'll drink. And the question we wanted

1:18:14.160 --> 1:18:16.559
<v Speaker 1>to pose is is a fountain of youth actually here

1:18:16.640 --> 1:18:19.320
<v Speaker 1>right now? It's just hiding in tens of thousands of

1:18:19.320 --> 1:18:23.080
<v Speaker 1>scientific publications and an extremely rigorous protocol, and so we

1:18:23.120 --> 1:18:25.439
<v Speaker 1>took this to the ends of science. We basically said,

1:18:25.520 --> 1:18:28.559
<v Speaker 1>if we measure every organ of the body via every

1:18:28.560 --> 1:18:32.320
<v Speaker 1>possible measurable modality blood, slaves, stool, m ri I, ultrasound,

1:18:32.320 --> 1:18:35.240
<v Speaker 1>fitness tests, dame astilation, we look at the gold standard

1:18:35.280 --> 1:18:39.080
<v Speaker 1>scientific evidence, create clinical grade protocols, and then my life

1:18:39.120 --> 1:18:42.760
<v Speaker 1>becomes a perfect implementation of that what is possible with

1:18:42.800 --> 1:18:45.760
<v Speaker 1>today's science. And the results were pretty stunning. Last year,

1:18:45.760 --> 1:18:48.880
<v Speaker 1>I reversed my epogetic age five point one years in

1:18:48.880 --> 1:18:51.000
<v Speaker 1>in seven months. It was a world record, and I

1:18:51.120 --> 1:18:54.719
<v Speaker 1>slowed the speed of which I age twenty eight percent.

1:18:55.000 --> 1:18:57.439
<v Speaker 1>So generally speaking, and I humorously kind of say this,

1:18:58.000 --> 1:19:02.360
<v Speaker 1>I get October, November, December for every year. Do you

1:19:02.400 --> 1:19:06.479
<v Speaker 1>feel different as a result. I've never felt better in

1:19:06.479 --> 1:19:09.400
<v Speaker 1>my entire life. But bright at the same time, A

1:19:09.400 --> 1:19:11.960
<v Speaker 1>lot of what you're doing is sort of I don't

1:19:11.960 --> 1:19:14.040
<v Speaker 1>know if you call it experimental or you know, I

1:19:14.080 --> 1:19:16.680
<v Speaker 1>hate to say. You're almost your own guinea pig. And

1:19:17.120 --> 1:19:20.480
<v Speaker 1>to some degree, have there been any sort of unpleasant surprises,

1:19:20.520 --> 1:19:24.240
<v Speaker 1>any bad reaction to any of the uh food You've

1:19:24.280 --> 1:19:27.360
<v Speaker 1>eaten or any of the treatments you've undergone. As part

1:19:27.360 --> 1:19:30.439
<v Speaker 1>of this process, we certainly have learnings all the time,

1:19:30.479 --> 1:19:33.679
<v Speaker 1>and we do share exactly what we whether the result

1:19:33.760 --> 1:19:36.160
<v Speaker 1>is good or bad, we share independently because the value

1:19:36.160 --> 1:19:39.280
<v Speaker 1>of this is as an open public uh protocol. The

1:19:39.920 --> 1:19:43.080
<v Speaker 1>It's it's important to remember though that this blueprint is

1:19:43.120 --> 1:19:46.679
<v Speaker 1>based upon scientific evidence, gold standard scientific evidence in clinical

1:19:46.680 --> 1:19:49.639
<v Speaker 1>grade protocols. So it's not like we're randomly doing things

1:19:49.720 --> 1:19:54.560
<v Speaker 1>or taking some obscure thing. It's based upon evidence and protocols,

1:19:54.960 --> 1:19:57.400
<v Speaker 1>and so we're really following a process to say what

1:19:57.680 --> 1:19:59.960
<v Speaker 1>is possible with with what's been proven. And the thing

1:20:00.040 --> 1:20:02.200
<v Speaker 1>we're doing is we no one in the world has

1:20:02.240 --> 1:20:05.240
<v Speaker 1>ever looked at all the scientific evidence and created a

1:20:05.280 --> 1:20:08.320
<v Speaker 1>perfect protocol, and so fundamentally what we're doing is in

1:20:08.400 --> 1:20:12.120
<v Speaker 1>measuring every organ of the body, we're asking every single

1:20:12.160 --> 1:20:16.160
<v Speaker 1>thing liver, pancreas, lungs, kidney, what do you need to

1:20:16.280 --> 1:20:18.840
<v Speaker 1>be in an ideal state? And that goes directly into

1:20:18.880 --> 1:20:21.160
<v Speaker 1>a protocol, which means I no longer look at menus

1:20:21.160 --> 1:20:23.479
<v Speaker 1>at restaurants, I don't know pizza parties at hawk, I

1:20:23.520 --> 1:20:25.840
<v Speaker 1>don't drink alcohol with friends and go on bingers and

1:20:25.840 --> 1:20:28.759
<v Speaker 1>say about stay at late at night. It's entirely followed.

1:20:28.800 --> 1:20:32.840
<v Speaker 1>So it's really interesting question of it's a demonstration of

1:20:32.920 --> 1:20:36.080
<v Speaker 1>going to what is possible today with science. Take a

1:20:36.120 --> 1:20:38.400
<v Speaker 1>step back, what did it take to get this program

1:20:38.439 --> 1:20:42.320
<v Speaker 1>up and running. The team is now about thirty members,

1:20:42.520 --> 1:20:44.759
<v Speaker 1>and so they're specialist. For example, I have a medical

1:20:44.760 --> 1:20:47.479
<v Speaker 1>grade ultrasound machine here in the clinic, and we have

1:20:47.560 --> 1:20:50.400
<v Speaker 1>a specialist that looks at the heart, another at the lungs,

1:20:50.520 --> 1:20:52.760
<v Speaker 1>than another for the other organs of the body, and

1:20:52.800 --> 1:20:55.240
<v Speaker 1>we build out specialists throughout the entire body through all

1:20:55.240 --> 1:20:57.960
<v Speaker 1>the different measurement modalities. I do a full body m

1:20:58.040 --> 1:21:00.960
<v Speaker 1>R I every organ of the body on an annual basis.

1:21:01.320 --> 1:21:03.960
<v Speaker 1>So having this kind of specialty, we're doing things that

1:21:04.000 --> 1:21:06.839
<v Speaker 1>no one's ever done before, and so it's it's challenging.

1:21:07.040 --> 1:21:08.800
<v Speaker 1>We have to identify the task that we have to

1:21:08.800 --> 1:21:10.040
<v Speaker 1>build a team to do it. Then we have to

1:21:10.080 --> 1:21:12.960
<v Speaker 1>normalize it in a protocol and so it's extremely difficult.

1:21:12.960 --> 1:21:14.840
<v Speaker 1>And so I do spend a few million dollars a

1:21:14.880 --> 1:21:18.680
<v Speaker 1>year on this, but I basically reduce the learning to

1:21:18.840 --> 1:21:21.839
<v Speaker 1>something that anybody can implement. So you can take everything

1:21:21.880 --> 1:21:24.760
<v Speaker 1>I've done. It's freely available online to everybody, and you

1:21:24.760 --> 1:21:29.040
<v Speaker 1>can implement it in roughly a month. You know, Brian,

1:21:29.280 --> 1:21:31.439
<v Speaker 1>as you point out that diet element of it is

1:21:31.439 --> 1:21:34.600
<v Speaker 1>obviously so important to something like this. But but I

1:21:34.600 --> 1:21:36.840
<v Speaker 1>gotta wonder, do you ever just get a craving like, Wow,

1:21:36.880 --> 1:21:39.920
<v Speaker 1>I could go for some pizza and a beer right now?

1:21:39.960 --> 1:21:41.960
<v Speaker 1>You know, how do you deal with that sort of

1:21:42.160 --> 1:21:45.920
<v Speaker 1>you know, craving that we all get. It's funny, it's

1:21:46.000 --> 1:21:49.880
<v Speaker 1>gone and in fact, imagine doing that kind of makes

1:21:49.880 --> 1:21:54.200
<v Speaker 1>me sick. Yeah, so it's gone. The A lot of

1:21:54.200 --> 1:21:57.120
<v Speaker 1>people think it perpetually persists, that there's this urge to

1:21:57.680 --> 1:22:00.479
<v Speaker 1>eat those kinds of foods or eat uh more than

1:22:01.200 --> 1:22:04.240
<v Speaker 1>like binge, But it just doesn't. It's actually reversed, and

1:22:04.320 --> 1:22:06.680
<v Speaker 1>I can't imagine doing it now. Well, I mean, do

1:22:06.720 --> 1:22:09.439
<v Speaker 1>you ever fall off the wagon, so to speak, whether

1:22:09.479 --> 1:22:13.120
<v Speaker 1>it's in food or so on. I mean, initially, yes,

1:22:13.200 --> 1:22:15.479
<v Speaker 1>I had several times where I just couldn't keep up

1:22:15.479 --> 1:22:18.839
<v Speaker 1>with the protocol. So I basically agreed, can I build

1:22:18.880 --> 1:22:22.519
<v Speaker 1>a system that takes better care of me than I

1:22:22.560 --> 1:22:24.840
<v Speaker 1>can myself? And so we're all accustomed to this idea

1:22:24.880 --> 1:22:27.799
<v Speaker 1>that we make we have good intentions to follow certain routines,

1:22:27.840 --> 1:22:29.760
<v Speaker 1>go to the gym and eat well, and then we

1:22:29.840 --> 1:22:32.400
<v Speaker 1>break we have a dessert, or we eat drink alcohol,

1:22:32.479 --> 1:22:33.960
<v Speaker 1>or we eat too much food or the wrong kind

1:22:33.960 --> 1:22:36.200
<v Speaker 1>of food. And so the question for me was can

1:22:36.240 --> 1:22:40.719
<v Speaker 1>I just sign up for a system measurement, scientific evidence

1:22:40.720 --> 1:22:44.639
<v Speaker 1>and protocol and follow exactly that? And it's been, honestly

1:22:44.800 --> 1:22:48.519
<v Speaker 1>such a relief where the system now takes care better

1:22:48.560 --> 1:22:51.240
<v Speaker 1>care of me than I can myself. And we see

1:22:51.280 --> 1:22:54.920
<v Speaker 1>this throughout society. We know when a navigation app does

1:22:54.920 --> 1:22:57.080
<v Speaker 1>a better job and getting this to our destination, we

1:22:57.120 --> 1:22:59.200
<v Speaker 1>do so, and we don't use paper maps anymore. And

1:22:59.240 --> 1:23:02.439
<v Speaker 1>that's what I've done, as I've shown a system of measurement,

1:23:02.520 --> 1:23:05.639
<v Speaker 1>science and protocol better cares for me than I can. Brian,

1:23:05.680 --> 1:23:07.280
<v Speaker 1>one thing I wanted to ask you what has been

1:23:07.320 --> 1:23:09.320
<v Speaker 1>the downside of this? I mean, do you feel like

1:23:09.760 --> 1:23:11.120
<v Speaker 1>from the minute you get up to the minute and

1:23:11.120 --> 1:23:14.080
<v Speaker 1>go to sleep, like you're just you know, constantly monitoring

1:23:14.280 --> 1:23:18.960
<v Speaker 1>everything you know? For me, it's all fun. I think

1:23:18.960 --> 1:23:22.080
<v Speaker 1>of myself as a professional rejuvenation athlete when you know,

1:23:22.080 --> 1:23:26.000
<v Speaker 1>building my former company Braintree Venmo oftentimes among my entrepreneur friends,

1:23:26.000 --> 1:23:27.720
<v Speaker 1>it was a badge of honor to sleep under your

1:23:27.720 --> 1:23:30.680
<v Speaker 1>desk and look haggard and go days without sleeping. But

1:23:30.720 --> 1:23:32.599
<v Speaker 1>to me it always seemed been saying that you're really

1:23:32.880 --> 1:23:36.240
<v Speaker 1>they entrepreneurs are athletes of the mind, and so it

1:23:36.280 --> 1:23:38.280
<v Speaker 1>makes sense to eat well and sleep well. And so

1:23:38.680 --> 1:23:41.240
<v Speaker 1>I've never felt better in my entire life. I love

1:23:41.880 --> 1:23:44.960
<v Speaker 1>following this protocol, you know, And Brian, obviously you've got

1:23:44.960 --> 1:23:48.240
<v Speaker 1>a personal motivation to make yourself as healthy as possible,

1:23:48.320 --> 1:23:51.640
<v Speaker 1>live as long as possible. But I wonder, clearly there

1:23:51.880 --> 1:23:54.800
<v Speaker 1>there's a business motivation too, and I wonder how you

1:23:54.880 --> 1:23:58.720
<v Speaker 1>see where you see the business going. Um, is this

1:23:58.800 --> 1:24:01.080
<v Speaker 1>ready for prime times, something that you're ready to roll

1:24:01.120 --> 1:24:04.720
<v Speaker 1>out to consumers? And how would it work a subscription

1:24:05.080 --> 1:24:06.720
<v Speaker 1>or you know, how are you thinking about it as

1:24:06.720 --> 1:24:09.320
<v Speaker 1>a business. I mean, I didn't started off as a business.

1:24:09.320 --> 1:24:11.840
<v Speaker 1>It really is an open, public, scientific experiment. And what

1:24:11.880 --> 1:24:13.920
<v Speaker 1>I was proposing is that I've read a lot of

1:24:13.920 --> 1:24:16.880
<v Speaker 1>biographies and I really admire people who in their time

1:24:16.920 --> 1:24:19.640
<v Speaker 1>and place identify the point on the horizon that is

1:24:19.800 --> 1:24:22.920
<v Speaker 1>barely visible and UH, in the early twenty one century,

1:24:22.960 --> 1:24:27.320
<v Speaker 1>that could be UH neutralizing aging. If we didn't age

1:24:27.320 --> 1:24:30.840
<v Speaker 1>and naturally deteriorate and think the death was inevitable. We

1:24:30.880 --> 1:24:32.600
<v Speaker 1>may have a different relationship with time, and so in

1:24:32.640 --> 1:24:35.559
<v Speaker 1>the early century, I would put forward the hypothesis that

1:24:35.680 --> 1:24:40.080
<v Speaker 1>the a defining moment maybe our ability to neutralize or

1:24:40.160 --> 1:24:43.240
<v Speaker 1>dramatically slow aging. And that's what I'm trying to do.

1:24:43.280 --> 1:24:44.800
<v Speaker 1>If I can prove this end of one and my

1:24:44.840 --> 1:24:47.680
<v Speaker 1>results are stable and repeatable, it may fundamentally change how

1:24:47.720 --> 1:24:49.840
<v Speaker 1>we think about ourselves and society. You know, it's funny.

1:24:50.000 --> 1:24:51.640
<v Speaker 1>I'm thinking about, you know, the news that we got

1:24:51.680 --> 1:24:54.519
<v Speaker 1>about CVS doing a deal. They're thinking about, you know,

1:24:54.600 --> 1:24:57.800
<v Speaker 1>kind of how to keep Medicare patients um, well, if

1:24:57.840 --> 1:25:01.479
<v Speaker 1>you will, and I do think disruption innovation when it

1:25:01.479 --> 1:25:03.120
<v Speaker 1>comes to healthcare. We're all trying to figure out what

1:25:03.120 --> 1:25:05.160
<v Speaker 1>it really means and how do we really change the

1:25:05.240 --> 1:25:09.479
<v Speaker 1>system so it's better, cost less with a better outcome impact. So,

1:25:09.720 --> 1:25:12.640
<v Speaker 1>is there you know, a way to really scale what

1:25:12.720 --> 1:25:14.160
<v Speaker 1>you are doing, just to kind of build on what

1:25:14.280 --> 1:25:17.479
<v Speaker 1>Mike asked you, you know, in terms of really reaching

1:25:17.520 --> 1:25:20.120
<v Speaker 1>the masses so that we all live a better life,

1:25:20.120 --> 1:25:24.559
<v Speaker 1>a healthier life, potentially longer life. Um and maybe with

1:25:24.640 --> 1:25:29.000
<v Speaker 1>better methods and better wellness overall. Yeah, I mean it

1:25:29.040 --> 1:25:31.519
<v Speaker 1>started as a science experiment and I've been sharing all

1:25:31.560 --> 1:25:33.640
<v Speaker 1>of my data and results with everybody. I make the

1:25:33.680 --> 1:25:37.040
<v Speaker 1>protocol available for free. And since this viral the story

1:25:37.080 --> 1:25:40.840
<v Speaker 1>went viral, wee can half ago. Uh, every single supplier

1:25:40.880 --> 1:25:43.240
<v Speaker 1>we have for blueprint is sold out for months. Nobody

1:25:43.280 --> 1:25:45.439
<v Speaker 1>can get anything to start this is start the program.

1:25:45.640 --> 1:25:47.120
<v Speaker 1>So yeah, I mean, as of this week, we've been

1:25:47.120 --> 1:25:49.880
<v Speaker 1>actually dipping our toe into exploring building a business of

1:25:50.240 --> 1:25:53.200
<v Speaker 1>can we basically just solve this problem and make the

1:25:53.200 --> 1:25:55.519
<v Speaker 1>product available for anyone who wants it, with the added

1:25:55.560 --> 1:25:57.479
<v Speaker 1>benefit that we incorporate the evidence. So it didn't start

1:25:57.520 --> 1:25:59.519
<v Speaker 1>that way. It's kind of a problem now because people

1:25:59.520 --> 1:26:00.840
<v Speaker 1>want to follow us and we want people to be

1:26:00.880 --> 1:26:02.240
<v Speaker 1>even to be in the community, and they just can't

1:26:02.240 --> 1:26:04.919
<v Speaker 1>do it because everyone's out of the items. Are doctors

1:26:05.080 --> 1:26:10.639
<v Speaker 1>reaching out to your hospitals, our healthcare organizations, managed care,

1:26:10.640 --> 1:26:12.760
<v Speaker 1>they reaching out to just say, okay, what exactly are

1:26:12.800 --> 1:26:16.360
<v Speaker 1>you doing exactly? We launched a part of this rejuvenation

1:26:16.360 --> 1:26:18.960
<v Speaker 1>olympics dot com, which is a leaderboard for people who

1:26:19.160 --> 1:26:22.120
<v Speaker 1>reverse or who slow their speed of aging. So I'm

1:26:22.120 --> 1:26:24.320
<v Speaker 1>trying to create a sport out of this of people

1:26:24.360 --> 1:26:27.200
<v Speaker 1>can be a leader in a professional as a professional

1:26:27.200 --> 1:26:30.800
<v Speaker 1>rejuvenation athlete. And this creates a different, uh paradigm for

1:26:30.840 --> 1:26:34.120
<v Speaker 1>anyone using healthcare where if I'm receiving the recipient of

1:26:34.160 --> 1:26:37.760
<v Speaker 1>anyone services, I want to know what's happening to me overall.

1:26:37.880 --> 1:26:40.000
<v Speaker 1>I can get fifty different biomarkers, but it doesn't tell

1:26:40.000 --> 1:26:42.280
<v Speaker 1>me a whole story about me overall, but a speed

1:26:42.320 --> 1:26:45.400
<v Speaker 1>of aging which you can get rejuvenation Olympics does And

1:26:45.439 --> 1:26:48.000
<v Speaker 1>so hopefully it was a paradigm shift for how people

1:26:48.320 --> 1:26:51.679
<v Speaker 1>what people expect in exchange for health through well thees services.

1:26:52.360 --> 1:26:54.160
<v Speaker 1>You know, Brian, For those of us on a budget

1:26:54.200 --> 1:26:56.920
<v Speaker 1>who kind of wanna replicate what you're doing, you know,

1:26:57.080 --> 1:27:00.439
<v Speaker 1>can you boil it down to the simplest of forms

1:27:00.479 --> 1:27:02.479
<v Speaker 1>of advice that that you would give us from what

1:27:02.520 --> 1:27:06.280
<v Speaker 1>you've learned, Yes, it's actually very simple. Number one and

1:27:06.360 --> 1:27:10.559
<v Speaker 1>most important is stop self destructive behaviors. So that is

1:27:10.600 --> 1:27:13.960
<v Speaker 1>eating too much, eating the wrong foods, drinking too much alcohol,

1:27:14.080 --> 1:27:16.800
<v Speaker 1>smoking the stuff we all know we don't want to do,

1:27:16.880 --> 1:27:19.080
<v Speaker 1>we do it anyways, So stop that as much as

1:27:19.080 --> 1:27:21.840
<v Speaker 1>you can. Number to eat more vegetables, berries, and nuts,

1:27:22.240 --> 1:27:26.879
<v Speaker 1>three prioritized sleep, and four exercise. Just getting those basics

1:27:26.880 --> 1:27:29.120
<v Speaker 1>in place, a person can get the majority the benefits

1:27:30.040 --> 1:27:32.960
<v Speaker 1>um and again it's go please go ahead and the end.

1:27:33.000 --> 1:27:35.840
<v Speaker 1>The entire protocol is available at no cost on my

1:27:35.920 --> 1:27:39.880
<v Speaker 1>website blueprint dot Brian Johnson dot co. So, uh, feel

1:27:39.880 --> 1:27:41.160
<v Speaker 1>free to look at all my data, look at all

1:27:41.200 --> 1:27:43.519
<v Speaker 1>the protocols. There's there's even links to products we use.

1:27:43.520 --> 1:27:45.400
<v Speaker 1>Again they're out of stock. But you get the idea

1:27:45.400 --> 1:27:47.160
<v Speaker 1>of everything is there? Is this your Is this your

1:27:47.200 --> 1:27:50.240
<v Speaker 1>way of life forever? Now? I think so? I mean,

1:27:50.280 --> 1:27:52.280
<v Speaker 1>I've never this is the whole thing. It's so interesting

1:27:52.280 --> 1:27:54.400
<v Speaker 1>to me. Is a system now takes care of me

1:27:54.439 --> 1:27:56.360
<v Speaker 1>better than I can take care of myself. And I

1:27:57.560 --> 1:28:00.280
<v Speaker 1>it's uh, it's not exciting to think about will be

1:28:00.320 --> 1:28:02.000
<v Speaker 1>back in charge of myself again? You know, I don't.

1:28:02.000 --> 1:28:03.400
<v Speaker 1>I didn't do a great job. And I think most

1:28:03.400 --> 1:28:05.639
<v Speaker 1>of us would acknowledge we don't do a great job

1:28:05.680 --> 1:28:08.519
<v Speaker 1>taking care of ourselves because it's very hard, you know, Brian.

1:28:08.560 --> 1:28:10.360
<v Speaker 1>One of the things that Mike was pointing out, he said,

1:28:10.520 --> 1:28:13.479
<v Speaker 1>you know in the story, because we're talking about your pale,

1:28:14.760 --> 1:28:17.719
<v Speaker 1>you look great for those who are watching on YouTube

1:28:17.760 --> 1:28:20.960
<v Speaker 1>and and our Blueberg original streaming service. But you stay

1:28:20.960 --> 1:28:23.880
<v Speaker 1>out of the sun, correct, Yeah, A lot of people

1:28:24.000 --> 1:28:25.640
<v Speaker 1>suggest I look like a vampire, so I need to

1:28:25.680 --> 1:28:28.799
<v Speaker 1>get extensions to you know. No, but I think about

1:28:28.960 --> 1:28:31.880
<v Speaker 1>you know, I remember going to pediatrician and then say

1:28:32.280 --> 1:28:34.840
<v Speaker 1>at my PEDIATRICI and be like, make sure your daughter

1:28:34.880 --> 1:28:37.439
<v Speaker 1>when she was young, get some sun. You know, obviously

1:28:37.479 --> 1:28:39.320
<v Speaker 1>not in the middle of the day when it's the hottest,

1:28:39.360 --> 1:28:42.000
<v Speaker 1>but kids were being you know, so much sunscreen and

1:28:42.040 --> 1:28:44.120
<v Speaker 1>being kept out that their vitamin D levels were low.

1:28:44.360 --> 1:28:46.639
<v Speaker 1>So I am curious, like, what were the adjustments you've

1:28:46.640 --> 1:28:50.400
<v Speaker 1>had to make because of this regime that you're following. Yeah,

1:28:50.439 --> 1:28:52.680
<v Speaker 1>I do avoid the sun, and that's primarily because we're

1:28:52.680 --> 1:28:54.360
<v Speaker 1>trying to get my skin age again to be the

1:28:54.439 --> 1:28:56.439
<v Speaker 1>age of eighteen, and so we do that. We measure

1:28:56.600 --> 1:29:01.120
<v Speaker 1>using multispectral imagery and autofluorescence biopsies and photos and so

1:29:01.160 --> 1:29:03.040
<v Speaker 1>with that kind of measurement protocol and that we implement

1:29:03.479 --> 1:29:06.320
<v Speaker 1>lasers and all kinds of things. And so my treatments

1:29:06.320 --> 1:29:08.160
<v Speaker 1>do prevent me from going into the sun just for

1:29:08.240 --> 1:29:12.599
<v Speaker 1>recovery time. So it's not like I'm son avoidant all together.

1:29:12.680 --> 1:29:15.200
<v Speaker 1>It's just that I rarely have downtime. My skin is

1:29:15.200 --> 1:29:17.240
<v Speaker 1>typically all we have some kind of impression of a

1:29:17.280 --> 1:29:19.600
<v Speaker 1>laser treatment or something, and so really is just an

1:29:19.600 --> 1:29:22.120
<v Speaker 1>effort to try to have eighteen year old skin again,

1:29:22.240 --> 1:29:25.519
<v Speaker 1>which I think we've made. I've currently lessened my skin

1:29:25.560 --> 1:29:28.080
<v Speaker 1>age twenty two years. Since beginning as a kid, I

1:29:28.120 --> 1:29:29.959
<v Speaker 1>was missed on a lot a lot of skin debauchery

1:29:30.040 --> 1:29:32.000
<v Speaker 1>never works on screen, so I have I've had to

1:29:32.000 --> 1:29:34.040
<v Speaker 1>make up a lot of ground. You gotta stop before

1:29:34.080 --> 1:29:39.320
<v Speaker 1>you get that teenage Jackney again. All right, listen, we're

1:29:39.320 --> 1:29:41.080
<v Speaker 1>gonna leave it on that note. Really great to get

1:29:41.120 --> 1:29:43.840
<v Speaker 1>some time with you. UM fascinating as we said, to

1:29:43.840 --> 1:29:45.640
<v Speaker 1>read the story that Ashuley did, but even better to

1:29:45.640 --> 1:29:47.799
<v Speaker 1>get a chance to actually talk with you directly. Brian,

1:29:47.800 --> 1:29:49.599
<v Speaker 1>Thank you so much, Good luck with it, and look

1:29:49.600 --> 1:29:52.960
<v Speaker 1>forward to hearing updates. Brian Johnson, uh founder and CEO Blueprint.

1:29:53.040 --> 1:29:56.639
<v Speaker 1>Joining s V A Zoom from Los Angeles. You're listening

1:29:56.680 --> 1:30:00.200
<v Speaker 1>to the Bloomberg Business Week podcast. Catch Just live week

1:30:00.280 --> 1:30:03.280
<v Speaker 1>days from two to five pm Eastern on Bloomberg Radio,

1:30:03.439 --> 1:30:06.360
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1:30:06.439 --> 1:30:09.719
<v Speaker 1>listen live to our flagship New York station just say

1:30:09.840 --> 1:30:15.080
<v Speaker 1>Alexa play Bloomberg, e Love and Verdi. Safe to say

1:30:15.120 --> 1:30:18.599
<v Speaker 1>we are all a bit obsessed with chat CHPT right

1:30:18.640 --> 1:30:21.720
<v Speaker 1>since Microsoft's tenderly an dollar investment. We're hearing about it

1:30:21.720 --> 1:30:24.719
<v Speaker 1>in earnings calls. Google did their own, albeit much smaller,

1:30:24.760 --> 1:30:27.679
<v Speaker 1>a ideal. We talked about it with Kathy would last week,

1:30:27.840 --> 1:30:30.040
<v Speaker 1>and then there is a Bloomberg Business Week story that

1:30:30.080 --> 1:30:32.759
<v Speaker 1>you can find online that definitely takes it into account.

1:30:33.160 --> 1:30:35.719
<v Speaker 1>Art put chat GPT to the test on a Warden

1:30:35.800 --> 1:30:39.120
<v Speaker 1>exam with more. We've got Demetri casandis a senior editor

1:30:39.160 --> 1:30:41.160
<v Speaker 1>at Bloomberg News on the phone in New York City

1:30:41.160 --> 1:30:43.760
<v Speaker 1>along with the editor of Bloomberg Business to Week, Joel

1:30:43.760 --> 1:30:47.880
<v Speaker 1>Weber in our Bloomberg Interactive Broker's studio. So Joel, how

1:30:47.880 --> 1:30:51.280
<v Speaker 1>did chatp GPT do on that Warden exam? Well, we're

1:30:51.280 --> 1:30:55.280
<v Speaker 1>gonna find out. I do think just in general, um,

1:30:55.320 --> 1:30:58.439
<v Speaker 1>it is causing existential crazies everywhere you look, right, I

1:30:58.479 --> 1:31:00.679
<v Speaker 1>speak for yourself, man, Yeah, it's all gonna be great.

1:31:02.760 --> 1:31:05.679
<v Speaker 1>And I think you know an NBA or tests. In general,

1:31:05.680 --> 1:31:07.840
<v Speaker 1>I've heard from some professors who are like, I've had

1:31:07.920 --> 1:31:11.680
<v Speaker 1>to up end my entire curriculum to account for uh

1:31:11.840 --> 1:31:15.280
<v Speaker 1>chat gpt UM, so that you know, proving that you know,

1:31:15.680 --> 1:31:19.320
<v Speaker 1>AI program didn't actually do the student's own work. Um,

1:31:19.720 --> 1:31:24.640
<v Speaker 1>AI my homework. I think we'll get us. Uh so

1:31:25.560 --> 1:31:29.560
<v Speaker 1>take us to Wharton. UM and the professor who you

1:31:29.640 --> 1:31:32.920
<v Speaker 1>based the story around. Yeah, I mean I think those

1:31:32.960 --> 1:31:37.080
<v Speaker 1>are all good points. Christian Turley teaches at Wharton, and

1:31:37.200 --> 1:31:39.280
<v Speaker 1>you know, it started as kind of a fun conversation

1:31:39.320 --> 1:31:41.880
<v Speaker 1>over the holidays with his sons, who both have dealt

1:31:41.920 --> 1:31:46.240
<v Speaker 1>with other programs. UM. You know, we're we're intrigued by it.

1:31:46.360 --> 1:31:50.360
<v Speaker 1>Our b schools coverage sometimes is about research that can

1:31:50.360 --> 1:31:52.360
<v Speaker 1>steal very out of touch with what's going on in

1:31:52.360 --> 1:31:55.280
<v Speaker 1>the real world. And Professor to Reach was very quick

1:31:55.280 --> 1:31:57.760
<v Speaker 1>and nimble to say, Hey, let me see what this

1:31:58.120 --> 1:31:59.960
<v Speaker 1>this thing is about all the hubbub. Let me give

1:32:00.000 --> 1:32:02.320
<v Speaker 1>it an exam that I've given to my students. Um.

1:32:02.320 --> 1:32:04.240
<v Speaker 1>It did quite well, it did above average, it got

1:32:04.240 --> 1:32:07.400
<v Speaker 1>to be minus UM. But it is not you know,

1:32:07.720 --> 1:32:10.160
<v Speaker 1>it's the context of a business school course. In a

1:32:10.160 --> 1:32:13.439
<v Speaker 1>business school exam is not the kind of context in

1:32:13.479 --> 1:32:17.040
<v Speaker 1>which you know, students can realistically put the chatbot to

1:32:17.080 --> 1:32:19.680
<v Speaker 1>take the exam for them. That's not to say that

1:32:19.720 --> 1:32:22.960
<v Speaker 1>the concerns of educators across the country, as the professor

1:32:23.040 --> 1:32:25.360
<v Speaker 1>noted to me, are not legitimate. I mean, there are

1:32:25.400 --> 1:32:29.040
<v Speaker 1>many educators with far fewer resources than a warton professor

1:32:29.400 --> 1:32:31.439
<v Speaker 1>who do have to contend with the reality of how

1:32:31.479 --> 1:32:34.160
<v Speaker 1>students are going to use this. He used this as

1:32:34.160 --> 1:32:35.960
<v Speaker 1>a way to see what it's all about, and then

1:32:36.000 --> 1:32:38.880
<v Speaker 1>as a way to say, hey, this is very powerful,

1:32:39.080 --> 1:32:43.080
<v Speaker 1>it's doing quite well. It's answering in ways that legitimately

1:32:43.280 --> 1:32:46.400
<v Speaker 1>might pass as a student, how can we use something

1:32:46.439 --> 1:32:49.519
<v Speaker 1>like this more creatively in our in our classroom. Our

1:32:49.760 --> 1:32:52.080
<v Speaker 1>job as educators is to really think about how to

1:32:52.160 --> 1:32:56.240
<v Speaker 1>bring education along and be more creative and really spark imagination.

1:32:56.360 --> 1:32:59.120
<v Speaker 1>And so this is the first step of this one

1:32:59.160 --> 1:33:01.960
<v Speaker 1>protestor intro to do that. Did the professor give you

1:33:02.000 --> 1:33:07.040
<v Speaker 1>any idea how he would actually use it in a classroom? Well,

1:33:07.080 --> 1:33:09.519
<v Speaker 1>I mean he gave me an idea off of something

1:33:09.560 --> 1:33:12.320
<v Speaker 1>that we talked about in the conversation. Like let's say

1:33:12.520 --> 1:33:15.600
<v Speaker 1>he was teaching philosophy for example, not business, but you

1:33:15.640 --> 1:33:17.840
<v Speaker 1>can swap out people. And I mentioned this in the

1:33:17.920 --> 1:33:20.120
<v Speaker 1>Q and A, and and he says, you know, I

1:33:20.160 --> 1:33:23.760
<v Speaker 1>want you to go back to your libraries and to

1:33:23.920 --> 1:33:27.400
<v Speaker 1>your apartments and research, you know, the work we've studied

1:33:27.400 --> 1:33:31.439
<v Speaker 1>on Sarta or on you know Camu and Sarta. Write

1:33:31.439 --> 1:33:34.080
<v Speaker 1>me a five hundred word essay on the differences between

1:33:34.120 --> 1:33:37.240
<v Speaker 1>these two. Um. You know, they might go home and

1:33:37.280 --> 1:33:40.280
<v Speaker 1>decide to have chat GPT write the paper for them.

1:33:40.600 --> 1:33:42.400
<v Speaker 1>But what he might do that would be even more

1:33:42.400 --> 1:33:46.400
<v Speaker 1>effective is have chat GPT really engage in a conversation.

1:33:46.760 --> 1:33:50.479
<v Speaker 1>That's what these chats do with students, Um and step

1:33:50.520 --> 1:33:54.360
<v Speaker 1>in as the philosophers, the French philosophers and do something

1:33:54.400 --> 1:33:57.000
<v Speaker 1>that might spark some more creative ideas with the students.

1:33:57.000 --> 1:33:59.840
<v Speaker 1>And so he as a as a professor could start

1:34:00.080 --> 1:34:02.280
<v Speaker 1>be in a position to introduce the use of the

1:34:02.360 --> 1:34:05.400
<v Speaker 1>chatbot in that way. Um demiti, I got a jump

1:34:05.400 --> 1:34:07.040
<v Speaker 1>in for a second, because how did it do? When

1:34:07.040 --> 1:34:09.840
<v Speaker 1>it came to which I bet the whole student body

1:34:10.080 --> 1:34:12.680
<v Speaker 1>universe is saying, I hope I can do math. How

1:34:12.680 --> 1:34:14.679
<v Speaker 1>did it do on math? Oh? It doesn't. They don't

1:34:14.680 --> 1:34:16.600
<v Speaker 1>do well on math, at least in this instance. And

1:34:16.640 --> 1:34:18.720
<v Speaker 1>he said that that's something that you know, I think

1:34:18.760 --> 1:34:20.760
<v Speaker 1>we see that across the universe of stories that have

1:34:20.800 --> 1:34:23.120
<v Speaker 1>been done by Bloomberg and many others. What you said

1:34:23.200 --> 1:34:25.040
<v Speaker 1>is true. Everybody's kind of been a frenzy about this

1:34:25.160 --> 1:34:27.880
<v Speaker 1>right now. Mathematics it did not do well, and I

1:34:27.880 --> 1:34:30.200
<v Speaker 1>mean Professor Turvich was very funny about that. I mean,

1:34:30.200 --> 1:34:33.200
<v Speaker 1>it's like your your computer, dude, like you can't actually

1:34:33.320 --> 1:34:36.280
<v Speaker 1>like put some numbers together. Um. And in fact, numbers

1:34:36.360 --> 1:34:38.320
<v Speaker 1>is where it was really tripped up. And it was

1:34:38.400 --> 1:34:41.040
<v Speaker 1>more in language that it was far more impressive, and

1:34:41.240 --> 1:34:45.120
<v Speaker 1>in logic and application of logic um. So it was

1:34:45.160 --> 1:34:48.800
<v Speaker 1>all around super surprising to him. I think that he,

1:34:48.960 --> 1:34:51.320
<v Speaker 1>as well as many others who are engaging with chat

1:34:51.360 --> 1:34:53.040
<v Speaker 1>cheep two right now, it's a little tough to do.

1:34:53.120 --> 1:34:55.960
<v Speaker 1>You go to the website, it's so popular, there are

1:34:56.000 --> 1:34:58.120
<v Speaker 1>so many users that generally what you're going to get

1:34:58.160 --> 1:35:00.960
<v Speaker 1>as a message that says chat qep he is expacity

1:35:01.040 --> 1:35:03.439
<v Speaker 1>right now. So you can't try it because the world

1:35:03.520 --> 1:35:07.040
<v Speaker 1>is trying cat gbt um. But he did it. He

1:35:07.080 --> 1:35:09.360
<v Speaker 1>did it quickly. He wrote a paper and he said,

1:35:09.400 --> 1:35:12.240
<v Speaker 1>I was really impressed, and I think I'm gonna try

1:35:12.280 --> 1:35:14.840
<v Speaker 1>to think more creatively about how to use this. And

1:35:14.880 --> 1:35:17.280
<v Speaker 1>I think that in that context, I mean, I want

1:35:17.320 --> 1:35:19.080
<v Speaker 1>to be clear, we came at it with a very

1:35:19.120 --> 1:35:23.679
<v Speaker 1>specific sort of context of B schools, you know, teaching business, teaching,

1:35:23.760 --> 1:35:26.680
<v Speaker 1>taste management and so on. You know, there's probably going

1:35:26.760 --> 1:35:29.120
<v Speaker 1>to be space for something like this. It will emerge

1:35:29.120 --> 1:35:31.200
<v Speaker 1>in time. I don't think that we have the answers

1:35:31.320 --> 1:35:33.880
<v Speaker 1>right now in terms of like this semester, how is

1:35:33.960 --> 1:35:36.720
<v Speaker 1>CHATCHYTI going to, um, you know, a stand in for

1:35:36.840 --> 1:35:39.400
<v Speaker 1>something in the curriculum. We're not. We're not there yet.

1:35:39.439 --> 1:35:46.880
<v Speaker 1>But take that take that computer not a yeah, but yeah,

1:35:47.000 --> 1:35:49.559
<v Speaker 1>I mean everything's on a curve in business school anyway. Yeah,

1:35:49.600 --> 1:35:52.080
<v Speaker 1>so you know, it kind of doesn't matter. So so

1:35:52.080 --> 1:35:55.120
<v Speaker 1>one of the things that stuck out to me Dmitrou

1:35:55.320 --> 1:36:00.000
<v Speaker 1>was him saying, we are not running out of work, um,

1:36:00.120 --> 1:36:03.160
<v Speaker 1>but what is shifting is the efficiency frontier. And I'm curious,

1:36:03.200 --> 1:36:05.559
<v Speaker 1>you know, this would be an optimistic take, I think

1:36:05.600 --> 1:36:08.040
<v Speaker 1>on chat GPT, but but what what is it? What

1:36:08.200 --> 1:36:12.280
<v Speaker 1>is the potential here in the classroom. I mean again,

1:36:12.320 --> 1:36:14.720
<v Speaker 1>I think that there are ways he thinks to use

1:36:14.760 --> 1:36:16.960
<v Speaker 1>it and engage it to be added and I hate

1:36:16.960 --> 1:36:21.000
<v Speaker 1>to use the word additive, but to engage brains and

1:36:21.080 --> 1:36:23.960
<v Speaker 1>students in a way that that there isn't time enough

1:36:24.360 --> 1:36:27.720
<v Speaker 1>in the classroom, but it's to extend the learning that's

1:36:27.720 --> 1:36:30.320
<v Speaker 1>already happening. You're going to the Internet, you're looking for

1:36:30.439 --> 1:36:33.680
<v Speaker 1>videos of things as it is you're looking up resources.

1:36:33.920 --> 1:36:36.280
<v Speaker 1>So this might take it to another level in which

1:36:36.400 --> 1:36:39.680
<v Speaker 1>is not as passive, though it might be more active. Um.

1:36:40.120 --> 1:36:42.879
<v Speaker 1>He does have a far more or let's say, positive

1:36:42.880 --> 1:36:45.759
<v Speaker 1>and optimistic view, which is that these things should be

1:36:46.000 --> 1:36:49.400
<v Speaker 1>seen as tools that are very innovative and technologically advanced,

1:36:49.800 --> 1:36:52.600
<v Speaker 1>that that we should not really be so fearful of

1:36:52.640 --> 1:36:55.960
<v Speaker 1>them as replacements for actual people in many settings. I mean,

1:36:56.439 --> 1:36:58.599
<v Speaker 1>you wrote this Q and A, not chat GPT, are

1:36:58.600 --> 1:37:02.360
<v Speaker 1>you sure? Though I'm not sure. Did a robot do this? Interview?

1:37:03.560 --> 1:37:06.320
<v Speaker 1>The Big Secret? Um? It's so funny. I mean, I

1:37:06.360 --> 1:37:08.880
<v Speaker 1>was just reading an interview that a former colleague of

1:37:08.920 --> 1:37:10.840
<v Speaker 1>mine from a time I worked at a company called

1:37:10.880 --> 1:37:13.080
<v Speaker 1>The American Lawyer. He did a Q and A with

1:37:13.160 --> 1:37:16.320
<v Speaker 1>chat GPT and just posted it on LinkedIn, and he's

1:37:16.360 --> 1:37:19.800
<v Speaker 1>asking chat GPT like, if Nike wants to sponsor you,

1:37:19.840 --> 1:37:22.439
<v Speaker 1>will you will you accept the sponsorship? And chat GPT

1:37:22.680 --> 1:37:25.680
<v Speaker 1>is like, I'm an open flash form. I Am not

1:37:25.880 --> 1:37:27.840
<v Speaker 1>somebody who's going to give in to open spot to

1:37:27.960 --> 1:37:31.600
<v Speaker 1>sponsorship by private interest. It's a very interesting, it's a

1:37:31.680 --> 1:37:34.600
<v Speaker 1>very interesting back and forth, and it's actually like a

1:37:34.760 --> 1:37:39.920
<v Speaker 1>real engaged, like intelligent conversation that this individual has. Everyone

1:37:39.960 --> 1:37:42.080
<v Speaker 1>sells for a price. Stroll right, me too. You know

1:37:42.160 --> 1:37:46.680
<v Speaker 1>it's not I can't wait for Google's bar, which you

1:37:46.680 --> 1:37:48.840
<v Speaker 1>know is also in the headlines now to have a

1:37:48.840 --> 1:37:54.679
<v Speaker 1>competition or a conversation that's ai comptimistic name. We gotta run,

1:37:54.760 --> 1:37:58.320
<v Speaker 1>Joel Dmitro, thank you. This is the bloom Bird Business

1:37:58.320 --> 1:38:02.360
<v Speaker 1>Week podcast. Avail at Apple, Spotify, and anywhere else you

1:38:02.479 --> 1:38:06.120
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1:38:06.160 --> 1:38:09.559
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1:38:09.680 --> 1:38:12.400
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