WEBVTT - Bloomberg Businessweek Weekend - February 17th, 2023

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<v Speaker 1>This is Bloomberg business Week Inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Masser and Tim stinebec from Bloomberg Radio.

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<v Speaker 1>The war in Ukraine is set to enter its second year,

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<v Speaker 1>and it's becoming clear that the cost to both sides

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<v Speaker 1>will turn out to be intolerably high. There's no outcome

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<v Speaker 1>that looks favorable to Moscow or Kiev. The longer the

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<v Speaker 1>conflict lasts, the higher the economic cost, and worse, the

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<v Speaker 1>higher the death toll will climb. For more, return to

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<v Speaker 1>Bloomberg News Automation editor and opinion columnist Leonid Bursitsky and

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<v Speaker 1>Bloomberg Business Week editor Joel Weber. Joel, I want to

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<v Speaker 1>kick it off with you. How does the magazine team

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<v Speaker 1>approach something like this, put this conflict into perspective twelve

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<v Speaker 1>months in? Well, we really have been looking at this

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<v Speaker 1>mark for a second, and the newsroom as a whole

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<v Speaker 1>is obviously very key on it that that one year

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<v Speaker 1>mark obviously is the thing that we can kind of

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<v Speaker 1>all look towards, and and we wanted it to be

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<v Speaker 1>a way of not only looking back on what's happened,

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<v Speaker 1>but also what it means to come. And that's why

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<v Speaker 1>we turned to leon And he'd done a cover story

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<v Speaker 1>for us earlier in the year, and we are last year,

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<v Speaker 1>and we wanted to return to him to sort of

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<v Speaker 1>to to get a sense of his perspective on it.

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<v Speaker 1>Um as somebody who who is from Russia originally and

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<v Speaker 1>and left um and you know where we started where

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<v Speaker 1>with some numbers. The economic toll here has just been devastating,

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<v Speaker 1>But as Leonid writes, it's not only just on the

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<v Speaker 1>Ukrainian side, where obviously um Putin's invasion um has had

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<v Speaker 1>a huge impact, but it's also really beginning to show

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<v Speaker 1>up on the Russia side. So so leon had walked

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<v Speaker 1>us through your thesis and how things might unfold. Yet

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<v Speaker 1>the physical devastation is obviously on the Ukrainian side, all

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<v Speaker 1>of it. There's pretty much no more relates of damage

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<v Speaker 1>physical damage to to Russia. He would, uh, some shells

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<v Speaker 1>are reaching the Russian regions bordering on Ukraine. The actual

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<v Speaker 1>destruction is all on Ukrainian territory because the war is

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<v Speaker 1>being fought there. Um on the other hand, the sanctions

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<v Speaker 1>against Russia are pretty devastating. The Russian economy was worth.

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<v Speaker 1>The Russian GDP was about one point eight trillion dollars

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<v Speaker 1>in two thousand twenty one, which made it much much

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<v Speaker 1>bigger than the Ukrainian economy, which was about two hundred

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<v Speaker 1>billion I think. So the Ukrainian GDP dropped one third

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<v Speaker 1>between thirty and one third uh for two. The Russian

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<v Speaker 1>GDP only dropped about three percent, and also it was

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<v Speaker 1>supposed to grow three percent, So the total is like

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<v Speaker 1>six percent of the two thousand twenty one GDP. In

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<v Speaker 1>in absolute numbers, Russia has actually lost more than Ukraine

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<v Speaker 1>because the Russian economy was so much bigger to start

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<v Speaker 1>with before the war. And that is before we start

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<v Speaker 1>factoring in the loss of life, the immigration, the you know,

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<v Speaker 1>all of these factors that are also war related. Leon

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<v Speaker 1>the loss of life in terms of people who have

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<v Speaker 1>actually you know, died as a result of this war,

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<v Speaker 1>but also people who are leaving the countries, whether it's

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<v Speaker 1>Russia or Ukraine. You do think about the lasting impact

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<v Speaker 1>of that that when we get fingers crossed on the

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<v Speaker 1>other side of this, what it ultimately means. Well, here

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<v Speaker 1>in Berlin, ware I live UM also as a Russian

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<v Speaker 1>immigrande basically who who left Russia on the war actually

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<v Speaker 1>began into thousand and fourteen. UM, we see a lot

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<v Speaker 1>of huge influx of people from both Ukraine and Usha.

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<v Speaker 1>And a year's a year after the war began. Um,

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<v Speaker 1>some of these families have settled in and you know,

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<v Speaker 1>the kids are in school. Uh, people have found jobs,

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<v Speaker 1>they've learned the beginnings of the language. A lot of

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<v Speaker 1>the Ukrainian refugees too, are not going to go back.

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<v Speaker 1>The German Migration Office recently held a poll that showed

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<v Speaker 1>about thirty percent of the Ukrainian refugees are not planning

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<v Speaker 1>on going back to Ukraine after the war is over.

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<v Speaker 1>The actual percentage is probably higher, even apart from you know,

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<v Speaker 1>the actual war damage, the actual casualties, the loss of

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<v Speaker 1>the brain drain, the loss of talent, the loss of

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<v Speaker 1>active people, and I mean it is active people who

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<v Speaker 1>leave under such circumstances. In Ukraine, it's overwhelmingly women and

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<v Speaker 1>and they've taken their kids with them, so that there's

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<v Speaker 1>going to be extended fallout. The human losses for both

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<v Speaker 1>economies will be substantial. So premature to even imagine what

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<v Speaker 1>the world here might look like. Imagine a world where

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<v Speaker 1>the battlefield we finally might have a version of the

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<v Speaker 1>truth or something. What would it look like on both

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<v Speaker 1>sides when this conflict eventually does. Yeah, yeah, we're definitely

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<v Speaker 1>looking at the well. The worst part of this is

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<v Speaker 1>that it's almost impossible to imagine and and being to

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<v Speaker 1>the military action at this point because there's really no

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<v Speaker 1>common ground. There's no way that the sides can agree

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<v Speaker 1>on anything until um, one of them is satisfied that

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<v Speaker 1>it's one and you know, victory for both sides seems

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<v Speaker 1>your remote at this point. But even just imagining something

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<v Speaker 1>has happened when the war has ended, the sanctions against

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<v Speaker 1>Russia will not be lifted again, even even with Russia loses.

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<v Speaker 1>They can only be lifted if the Putting regime falls

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<v Speaker 1>uh and the successors are more pro Western and then

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<v Speaker 1>willing to uh you know, to to to take pretty

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<v Speaker 1>unimaginable steps um uh in terms of rejoining the Western world.

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<v Speaker 1>So these the sanctions are going to be around for

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<v Speaker 1>many years. The devastation in Ukraine requires hundreds of billions

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<v Speaker 1>of dollars of investment to just to rebuild what was destroyed. Um,

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<v Speaker 1>it's not clear where that kind of money would come from. UM.

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<v Speaker 1>From Russian reparations. Uh, it's not clear how much in

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<v Speaker 1>terms of reparations Russia would actually be able to pay. UM.

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<v Speaker 1>Whether it's possible to confiscate any of the frozen Russian

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<v Speaker 1>international reserves to fund the rebuilding of Ukraine. UM. It's

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<v Speaker 1>not clear how interested Western governments will be in providing

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<v Speaker 1>more money once the war is over, especially the enormous

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<v Speaker 1>amounts that are required because the entire cities have been

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<v Speaker 1>wiped off the face of the earth. And you know

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<v Speaker 1>one thing I do wonder though, when you write about

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<v Speaker 1>in the story, I mean Russia's role in the energy

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<v Speaker 1>markets has given it a ton of money, right in

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<v Speaker 1>terms of supporting the war financially. Um. But again you've

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<v Speaker 1>got the embargoes right, and the pushback against the world

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<v Speaker 1>when it comes to Russian oil. Does that those somehow

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<v Speaker 1>help them in the future or time will tell UM, Well,

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<v Speaker 1>it's the embargoes are not really helping Ukraine in any way,

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<v Speaker 1>because the Russian regime funds this war and then thinks

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<v Speaker 1>of everything else and there's still enough. It's still selling

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<v Speaker 1>enough oil to the likes of India, China. UM. You know,

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<v Speaker 1>Asian markets to fund the military action. UM. It's it's

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<v Speaker 1>not like a complete global embargo on Russian oil and

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<v Speaker 1>Russian energy resources would probably help, because then Russia would quickly,

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<v Speaker 1>relatively quickly run out of money. But as Russia retains

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<v Speaker 1>the ability to sell some energy resources h and also

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<v Speaker 1>things like fertilizer and agricultural products that are not sanctioned

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<v Speaker 1>at all, the money will go into the so called

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<v Speaker 1>special operation first and everything else second. Well, I have

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<v Speaker 1>to say, the way you end the story, you say,

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<v Speaker 1>add it all up. It's increasingly evident that neither side

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<v Speaker 1>can emerge in economic winner. No matter what happens on

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<v Speaker 1>the battlefield, both will suffer crippling consequences long after the

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<v Speaker 1>last shells light. It's an incredible read, and as Joel mentioned,

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<v Speaker 1>like you really you put the numbers on it, but

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<v Speaker 1>you do wonder about the devastation and how no one

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<v Speaker 1>really wins um as a result of this war. Leona,

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<v Speaker 1>thank you so much, really appreciate it. Many thanks to

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<v Speaker 1>Bloomberg News automation editor and opinion calumnist Leonid Breschitsky for

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<v Speaker 1>his work on this week's cover story. Joell Webber, of course,

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<v Speaker 1>the editor of the magazine. He's going to stick with

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<v Speaker 1>us for the next segment. Be sure to check out

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<v Speaker 1>the magazine though, for additional coverage of the war in Ukraine,

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<v Speaker 1>including the shrinking armstock piles of both countries and a

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<v Speaker 1>photo essay on displaced Ukrainians. You're listening to the Bloomberg

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<v Speaker 1>Business Week podcast. Catch us live week days from two

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<v Speaker 1>to five m start on Bloomberg Radio, The Bloomberg Business

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<v Speaker 1>and You too. You can also listen live to our

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<v Speaker 1>flagship New York station, Just Say Alexa, Play Bloomberg E,

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<v Speaker 1>Love and Dirty. So as technology seeps into every walk

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<v Speaker 1>of life, an increasing proportion of Supreme Court decisions require

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<v Speaker 1>at least a basic literacy and subjects that may not

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<v Speaker 1>come naturally to the aging members. Not my words, they

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<v Speaker 1>are the words of Bloomberg's Gregg Store, who writes about it.

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<v Speaker 1>The upcoming new issue of Bloomberg Business Week out on

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<v Speaker 1>newstands later this week, already on the Bloomberg and at

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<v Speaker 1>Bloomberg dot Com slash business Week. Greg as you know,

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<v Speaker 1>Supreme Court reporter here at Bloomberg. He joins us from

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<v Speaker 1>our nine and nine one studio in Washington, d C.

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<v Speaker 1>Also with us. The editor of Bloomberg Business Week told Webber,

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<v Speaker 1>He's in our Bloomberg Interactive Brokers studio. I've often thought

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<v Speaker 1>about this, and we talked about this with lawmakers, like

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<v Speaker 1>do they understand kind of all the high tech stuff

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<v Speaker 1>that they're legislating. Well, that's what Greg came to us with.

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<v Speaker 1>UM and this is just one of those ones where

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<v Speaker 1>he really picked up the phone. He was very excited.

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<v Speaker 1>He was like, Joel Children, I got to talk to

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<v Speaker 1>you about this idea. UM. And and it turns out that, UM,

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<v Speaker 1>this is not a totally new idea, but it's really

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<v Speaker 1>relevant right now because of the case they're gonna here

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<v Speaker 1>next year, which we will basically focus on section thirty

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<v Speaker 1>and what that means for the future of the internet. UM,

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<v Speaker 1>so rewind the clock a little bit for us, Greg,

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<v Speaker 1>What what happens when Elena Kagan and Stephen Brier sit

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<v Speaker 1>down and play Grand Theft Auto like they did about

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<v Speaker 1>a decade ago. We just soak in that moment for Yeah,

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<v Speaker 1>I wish I could have been a fly on the

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<v Speaker 1>wall for that that one. Yeah, this is a case

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<v Speaker 1>about a decade ago. It was a California law that

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<v Speaker 1>banned the sale of violent video games to minors, and

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<v Speaker 1>so Justice Brier, who was then in his early seventies,

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<v Speaker 1>and Justice Kagan decided, we don't know a whole lot

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<v Speaker 1>about violent video games, so we're going to check them out.

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<v Speaker 1>And so, uh, they had it set up in Justice

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<v Speaker 1>Briar's chambers and went down there and played Grand Theft

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<v Speaker 1>Auto to try to learn a little bit about it.

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<v Speaker 1>As it turns out, according to Justice Kagan, she was

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<v Speaker 1>a lot more enthusiastic about it than he was. He

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<v Speaker 1>thought it was really awful and disgusting, and she was like,

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<v Speaker 1>next round, next round. Uh, you know, we have more

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<v Speaker 1>we have more reporting to do on Kagan's video game

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<v Speaker 1>obsession if it if it became that, you know, including

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<v Speaker 1>maybe what console she's gonna do. But to keep it

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<v Speaker 1>back on the Supreme Court, Um, you know, we're obviously

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<v Speaker 1>Briar is not going to be on the bench when

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<v Speaker 1>they hear this case next week. But what what do

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<v Speaker 1>they have to do in order to get ready for

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<v Speaker 1>a big case like the one they're going to hear

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<v Speaker 1>when maybe they don't have as much expertise as people

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<v Speaker 1>in the industry might. Well, the short answer is that

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<v Speaker 1>they do a lot of research with a lot of

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<v Speaker 1>help from people around the court. You know, all of

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<v Speaker 1>them have for twenty something are generally twenty something law

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<v Speaker 1>clerks who can help them out. They've also got a

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<v Speaker 1>whole courthouse full of people. So there's a case back

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<v Speaker 1>in the late nineteen nineties having to do with restrictions

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<v Speaker 1>on posting adult oriented material in the way that children

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<v Speaker 1>might see them. And so I was back before the

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<v Speaker 1>court was really connected to the Internet. And so they

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<v Speaker 1>set up a computer in the library where justices and

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<v Speaker 1>their clerks would go there and and UH, you know,

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<v Speaker 1>put in searches to see if you know, pornography popped

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<v Speaker 1>up or something like that. Uh. In a more recent case,

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<v Speaker 1>I actually talked to Justice Bryer had interviewed him last week,

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<v Speaker 1>and he said, this is a copyright case involving Google

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<v Speaker 1>and Oracle, and he said he just spent a lot

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<v Speaker 1>of time trying to understand the Java programming language and

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<v Speaker 1>how it worked, because that was central to the case

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<v Speaker 1>whether Google infringed Oracles copyright, and UH spent a lot

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<v Speaker 1>of time. He has a very lengthy explanation in his

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<v Speaker 1>opinion siding with Google. UH that for the most part,

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<v Speaker 1>was pretty well received in terms of understanding the technology

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<v Speaker 1>at issue in the case, I would love to be

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<v Speaker 1>on the fly, a fly on the wall when they

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<v Speaker 1>tried to teach lawmakers about TikTok and the importance of

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<v Speaker 1>that moving forward. You got to open it and spent

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<v Speaker 1>about five hours a day on it. But in all seriousness,

0:14:00.520 --> 0:14:02.360
<v Speaker 1>you know, to be fair to Scout is this is

0:14:02.440 --> 0:14:05.280
<v Speaker 1>an issue that plagues a lot of lawmakers. We always

0:14:05.360 --> 0:14:07.800
<v Speaker 1>hear these funny sound bites from members of Congress too,

0:14:07.920 --> 0:14:10.000
<v Speaker 1>when they're you know, in a social media hearing or

0:14:10.000 --> 0:14:13.480
<v Speaker 1>crypto hearing. For example, we remember dog Coin from the

0:14:13.559 --> 0:14:16.560
<v Speaker 1>ft X hearing. The Internet runs on tubes most yes,

0:14:16.640 --> 0:14:19.440
<v Speaker 1>exactly exactly. So how how does scout is compared to

0:14:19.480 --> 0:14:23.080
<v Speaker 1>Congress when it comes to understanding the Internet. Yes, that's

0:14:23.080 --> 0:14:25.880
<v Speaker 1>a good question, Madison. There there are certainly some examples

0:14:25.920 --> 0:14:28.720
<v Speaker 1>of the Supreme Court saying similar type of things. Maybe

0:14:28.760 --> 0:14:30.680
<v Speaker 1>not quite as bad as you know, the Internet being

0:14:30.720 --> 0:14:33.840
<v Speaker 1>a collection of tubes. But you know, over the years,

0:14:33.840 --> 0:14:36.880
<v Speaker 1>the Supreme Court is asked some questions during arguments that

0:14:36.920 --> 0:14:40.800
<v Speaker 1>suggests yea, they may not understand the technology. But I

0:14:40.800 --> 0:14:43.240
<v Speaker 1>think there are a couple of important points. One the

0:14:43.280 --> 0:14:46.680
<v Speaker 1>Court has gotten younger. So you have more justices who

0:14:46.680 --> 0:14:49.680
<v Speaker 1>are uh, you know, in their fifties rather than in

0:14:49.720 --> 0:14:52.520
<v Speaker 1>their seventies and eighties, we maybe understand the technology a

0:14:52.520 --> 0:14:55.800
<v Speaker 1>little better. Uh, they have kids as well. And secondly,

0:14:56.360 --> 0:14:58.880
<v Speaker 1>regardless of the age of the justices, for the most part,

0:14:58.880 --> 0:15:01.480
<v Speaker 1>when I talk to people actual almost entirely when I

0:15:01.520 --> 0:15:06.160
<v Speaker 1>talk to people, they said, despite some occasionally uh confused

0:15:06.160 --> 0:15:09.280
<v Speaker 1>sounding questions, the court generally does a pretty good job

0:15:09.320 --> 0:15:10.720
<v Speaker 1>by the end of the day when it puts out

0:15:10.720 --> 0:15:14.200
<v Speaker 1>the really important thing, which are its opinions. And no

0:15:14.240 --> 0:15:16.080
<v Speaker 1>doubt that does get some help from the law clerks

0:15:16.080 --> 0:15:19.680
<v Speaker 1>who maybe understand the technology better. Uh. But but for

0:15:19.720 --> 0:15:21.840
<v Speaker 1>the most part, the court, based on the people I

0:15:21.920 --> 0:15:24.800
<v Speaker 1>talked to them, my reporting gets better grades than than

0:15:24.920 --> 0:15:28.520
<v Speaker 1>a lot of members of Congress do. Greg. So, what's

0:15:28.520 --> 0:15:31.240
<v Speaker 1>at stake with the case that they're going to hear

0:15:31.320 --> 0:15:34.040
<v Speaker 1>next weekend? And what exactly is it? What are they

0:15:34.040 --> 0:15:36.600
<v Speaker 1>gonna hear? Yeah, so this is as you said, this

0:15:36.680 --> 0:15:39.840
<v Speaker 1>is an argument they're going to have on a Tuesday

0:15:39.840 --> 0:15:43.320
<v Speaker 1>of next week Tuesday, and a somewhat less important case

0:15:44.200 --> 0:15:47.120
<v Speaker 1>case on on Wednesday. The Tuesday case is all about

0:15:47.120 --> 0:15:49.200
<v Speaker 1>the saying called section to thirty, which has been around

0:15:49.240 --> 0:15:54.200
<v Speaker 1>since It basically shields social media companies other Internet companies

0:15:54.520 --> 0:15:58.520
<v Speaker 1>from liability because of posts put up by their users

0:15:58.520 --> 0:16:01.320
<v Speaker 1>by third parties. And that has basically served as a

0:16:01.400 --> 0:16:04.640
<v Speaker 1>very broad shield for Internet companies. And this is the

0:16:04.720 --> 0:16:09.240
<v Speaker 1>case involving a lawsuit by the victim, the family of

0:16:09.240 --> 0:16:14.840
<v Speaker 1>a terrorism victim saying Google, through its YouTube service UH

0:16:15.040 --> 0:16:20.800
<v Speaker 1>basically recommended terrorists content, terrorists videos and provided support to ISIS.

0:16:21.520 --> 0:16:25.120
<v Speaker 1>And the question is whether that lawsuit can can even

0:16:25.160 --> 0:16:27.760
<v Speaker 1>get in the door. If the Supreme Court says yes,

0:16:27.800 --> 0:16:29.960
<v Speaker 1>it can get in the door, we're carving out of

0:16:30.000 --> 0:16:33.800
<v Speaker 1>a bit of an exception to section to thirty. Computer companies,

0:16:34.000 --> 0:16:37.040
<v Speaker 1>social media companies say, we are really worried that there

0:16:37.080 --> 0:16:39.400
<v Speaker 1>will be no stopping that and and that that will

0:16:39.440 --> 0:16:42.400
<v Speaker 1>force us to be a lot more restrictive about the

0:16:42.440 --> 0:16:45.600
<v Speaker 1>content that our members are users can put up on

0:16:45.640 --> 0:16:48.960
<v Speaker 1>the Internet because we're worried about being sued over it. Okay, So,

0:16:49.080 --> 0:16:51.440
<v Speaker 1>and what does industry have to say about this? And

0:16:51.800 --> 0:16:54.800
<v Speaker 1>this won't be the only two thirty case that they hear,

0:16:54.920 --> 0:16:57.600
<v Speaker 1>right well, so, so they have a two thirty case

0:16:57.960 --> 0:16:59.720
<v Speaker 1>on Tuesday, As they said, there's a second case on

0:16:59.760 --> 0:17:03.120
<v Speaker 1>when Day involving Twitter, and it's actually kind of a

0:17:03.160 --> 0:17:07.119
<v Speaker 1>related question about whether the family of a terrorist victim

0:17:07.160 --> 0:17:09.440
<v Speaker 1>can sue under this law that's it's called the Anti

0:17:09.520 --> 0:17:14.359
<v Speaker 1>Terrorism Act. Uh. The industry is basically saying, this case

0:17:14.400 --> 0:17:18.199
<v Speaker 1>has the potential to really transform the Internet, and not

0:17:18.320 --> 0:17:20.560
<v Speaker 1>in a good way. It will force us to be

0:17:20.760 --> 0:17:23.959
<v Speaker 1>it could force us to be censors to a large degree.

0:17:24.000 --> 0:17:27.960
<v Speaker 1>It could restrict speech on the Internet. And they are

0:17:28.040 --> 0:17:30.119
<v Speaker 1>arguing that there's going to be a carve out in

0:17:30.200 --> 0:17:33.080
<v Speaker 1>section two thirty. This is really something that Congress ought

0:17:33.119 --> 0:17:34.919
<v Speaker 1>to be able to do because it can be a

0:17:34.960 --> 0:17:37.639
<v Speaker 1>lot more precise rather than the kind of the blunt

0:17:37.680 --> 0:17:40.560
<v Speaker 1>instrument of a Supreme Court opinion. Let's just hope they

0:17:40.560 --> 0:17:44.800
<v Speaker 1>haven't been playing video game exactly. Oh my god, that image,

0:17:45.119 --> 0:17:47.040
<v Speaker 1>Um Gregg Store, thank you so much. He is, of

0:17:47.040 --> 0:17:49.359
<v Speaker 1>course Supreme Court reporter Here at Bloomberg News from or

0:17:49.400 --> 0:17:51.520
<v Speaker 1>Not and I want Studio in Washington, DC. Are thanks

0:17:51.520 --> 0:17:54.240
<v Speaker 1>to Jill Weber, the editor of Bloomberg Business Week. This story,

0:17:54.280 --> 0:17:56.680
<v Speaker 1>as we mentioned in the upcoming new issue of Business Week,

0:17:56.840 --> 0:17:59.280
<v Speaker 1>out on newsstands already on the Bloomberg and at Bloomberg

0:17:59.320 --> 0:18:07.000
<v Speaker 1>dot com. You're listening to the Bloomberg Business Week podcast.

0:18:07.240 --> 0:18:09.760
<v Speaker 1>Catch us live week days from two to five pm

0:18:09.800 --> 0:18:13.720
<v Speaker 1>Easter on Bloomberg Radio, the Bloomberg Business App, and you too.

0:18:13.920 --> 0:18:16.680
<v Speaker 1>You can also listen live to our flagship New York

0:18:16.720 --> 0:18:21.840
<v Speaker 1>station Just Say Alexa, Play Bloomberg, e Love and Verdi. Well.

0:18:21.880 --> 0:18:26.280
<v Speaker 1>You might recall last week Ross Gerber, a vocal Tesla shareholder,

0:18:26.359 --> 0:18:29.000
<v Speaker 1>Tesla car owner frequent guest, on our air, saying he

0:18:29.040 --> 0:18:31.560
<v Speaker 1>will pursue a board seat on the electric vehicle maker's

0:18:31.600 --> 0:18:34.160
<v Speaker 1>board well at the time, also saying that it's time

0:18:34.160 --> 0:18:37.720
<v Speaker 1>for Tesla to grow up. Gerber's firm holding about fourty

0:18:38.119 --> 0:18:40.359
<v Speaker 1>shares as at the end of last year of Tesla.

0:18:40.440 --> 0:18:43.760
<v Speaker 1>That's according to our data. Ross's co founder president CEO

0:18:43.840 --> 0:18:46.960
<v Speaker 1>Gerber Kawasaki Wealth and Investment Management. He joins us lucky

0:18:47.000 --> 0:18:50.840
<v Speaker 1>for us via zoom from Santa Monica, California. Hey, Ross,

0:18:50.880 --> 0:18:52.720
<v Speaker 1>good to have you here. Your fund. By the way,

0:18:52.800 --> 0:18:54.840
<v Speaker 1>your e t F is that more than fourteen percent.

0:18:54.920 --> 0:18:57.359
<v Speaker 1>You're to date, Tesla's your biggest shareholder, at least according

0:18:57.359 --> 0:19:02.359
<v Speaker 1>to our data. Um to us about pursuing a board

0:19:02.440 --> 0:19:04.720
<v Speaker 1>seat on Tesla, why do you want to do it?

0:19:04.760 --> 0:19:08.040
<v Speaker 1>And what progress have you made towards that end? Well,

0:19:08.080 --> 0:19:10.920
<v Speaker 1>I think mostly it's because I feel like it's time

0:19:10.960 --> 0:19:14.520
<v Speaker 1>for Tesla's board to sort of take a more active

0:19:14.680 --> 0:19:18.880
<v Speaker 1>role in some of the main issues that involve Tesla,

0:19:18.960 --> 0:19:22.000
<v Speaker 1>which seemed to be I don't know, sort of ignored.

0:19:22.040 --> 0:19:25.680
<v Speaker 1>And a lot of founder led companies, you know, grow

0:19:25.840 --> 0:19:28.920
<v Speaker 1>to be very, very successful, um, and then they reach

0:19:28.920 --> 0:19:32.080
<v Speaker 1>a point like where Tesla has, where certain things just

0:19:32.119 --> 0:19:34.240
<v Speaker 1>need to change. And and I don't think these are

0:19:34.520 --> 0:19:37.200
<v Speaker 1>you know, bad things. I think it's a good thing,

0:19:37.800 --> 0:19:40.640
<v Speaker 1>um for Tesla to focus on, you know, really three

0:19:40.680 --> 0:19:43.359
<v Speaker 1>main things that you know, I'm most concerned about, which is,

0:19:43.560 --> 0:19:47.120
<v Speaker 1>you know, public relations, marketing, and lobbying so that things

0:19:47.160 --> 0:19:50.960
<v Speaker 1>like full self driving you know, are you know, appropriately

0:19:51.040 --> 0:19:55.720
<v Speaker 1>understood by the public UM and the risks and rewards UM. Secondly,

0:19:55.760 --> 0:19:59.959
<v Speaker 1>i'd love to see Tesla focus on the customer, the consume.

0:20:00.040 --> 0:20:04.040
<v Speaker 1>Humer is constantly having bad experiences with Tesla service and

0:20:04.040 --> 0:20:06.240
<v Speaker 1>and and I just think somebody needs to really be

0:20:06.320 --> 0:20:09.480
<v Speaker 1>focused on the customer over at Tesla. And then thirdly,

0:20:09.520 --> 0:20:13.560
<v Speaker 1>a secession plan. Um. Ellen is clearly running Twitter here

0:20:13.600 --> 0:20:16.359
<v Speaker 1>and that's his priority, which is fine, But if something

0:20:16.680 --> 0:20:19.159
<v Speaker 1>ever happened to Eilani. I mean, he is working, you know,

0:20:19.200 --> 0:20:22.119
<v Speaker 1>like twenty hours a day, you know, you know, what's

0:20:22.200 --> 0:20:25.280
<v Speaker 1>what's the plan for Tesla? So these things don't seem

0:20:25.320 --> 0:20:28.480
<v Speaker 1>to be answered from Tesla, and and so now I'm

0:20:28.480 --> 0:20:31.280
<v Speaker 1>pushing for board see because I think it's time for

0:20:31.359 --> 0:20:33.840
<v Speaker 1>there to be some accountability to these issues. So Ross,

0:20:33.920 --> 0:20:37.439
<v Speaker 1>you mentioned the PR situation when it comes to Tesla.

0:20:37.600 --> 0:20:41.720
<v Speaker 1>To what extent are you concerned about Ellen's impact on

0:20:41.920 --> 0:20:45.280
<v Speaker 1>the company's PR? Well, I think that you know, for

0:20:45.320 --> 0:20:47.560
<v Speaker 1>a long time, we got a lot of free advertising

0:20:47.560 --> 0:20:49.840
<v Speaker 1>out of Ellen, and there was a perception of Ellen

0:20:50.280 --> 0:20:53.879
<v Speaker 1>that was much more positive today now that Ellen runs

0:20:53.880 --> 0:20:57.200
<v Speaker 1>Twitter and has taken many political positions, and I think

0:20:57.520 --> 0:21:00.960
<v Speaker 1>it's his right to do that. But it's sly unfortunate

0:21:01.080 --> 0:21:04.720
<v Speaker 1>how many customers and shareholders here at at least that

0:21:04.840 --> 0:21:08.320
<v Speaker 1>I know, and which are a lot that really have

0:21:08.840 --> 0:21:11.760
<v Speaker 1>now taken a negative you towards Ellen. And it's really

0:21:11.840 --> 0:21:14.480
<v Speaker 1>kind of sad to me. And the bottom line is

0:21:14.560 --> 0:21:17.120
<v Speaker 1>it's time for Tesla to build its brand around Tesla

0:21:17.480 --> 0:21:20.400
<v Speaker 1>and about you know, the values that Tesla really stands

0:21:20.400 --> 0:21:23.800
<v Speaker 1>for and versus what Elon's values are, and and so

0:21:23.840 --> 0:21:27.080
<v Speaker 1>I don't really have any issue with his per se values.

0:21:27.119 --> 0:21:30.239
<v Speaker 1>But we're in the selling car business, and you know,

0:21:30.400 --> 0:21:32.440
<v Speaker 1>I don't know if that's what he's thinking every day

0:21:32.440 --> 0:21:34.399
<v Speaker 1>when he gets up in tweets. So I think Tesla

0:21:34.480 --> 0:21:38.359
<v Speaker 1>can take an active role in shaping the public perception

0:21:38.560 --> 0:21:41.760
<v Speaker 1>of its wonderful products and services. Hey listen are reporting

0:21:41.760 --> 0:21:45.160
<v Speaker 1>by our Red Ludlow and Caroline Hyde. Um noted how

0:21:45.200 --> 0:21:47.280
<v Speaker 1>you have a good relationship with UM some of the

0:21:47.280 --> 0:21:50.000
<v Speaker 1>biggest shareholders in Tesla, someone who I've talked to a lot,

0:21:50.119 --> 0:21:53.879
<v Speaker 1>Kathy would have our investment and also barely Gifford. Have

0:21:54.119 --> 0:21:56.159
<v Speaker 1>you have they said that they would support you in

0:21:56.160 --> 0:21:58.760
<v Speaker 1>your pursuit of a seat. Well, I haven't talked to

0:21:58.840 --> 0:22:01.639
<v Speaker 1>any of the institutions yet because I haven't. You know,

0:22:01.720 --> 0:22:05.159
<v Speaker 1>I'm still officially got to send out my letter and

0:22:05.240 --> 0:22:08.360
<v Speaker 1>get this going with you will do that right now? Yeah,

0:22:08.400 --> 0:22:11.360
<v Speaker 1>I will definitely be doing that, and and we're certainly

0:22:11.440 --> 0:22:13.280
<v Speaker 1>And that's one of the reasons I'm running is just

0:22:13.560 --> 0:22:16.320
<v Speaker 1>so that there is an option for people. I'm not

0:22:16.440 --> 0:22:19.280
<v Speaker 1>like doing this for any like personal gain. Let me

0:22:19.320 --> 0:22:22.280
<v Speaker 1>tell you, it's a very time consuming process and and

0:22:22.359 --> 0:22:25.239
<v Speaker 1>most of my clients and and friends, you know, are

0:22:25.280 --> 0:22:26.960
<v Speaker 1>sort of like, we want you focusing on our money,

0:22:27.040 --> 0:22:30.520
<v Speaker 1>not running Tesla or dealing with Tesla. And that said,

0:22:30.920 --> 0:22:33.919
<v Speaker 1>you know, I just feel compelled that there needs to

0:22:33.960 --> 0:22:37.760
<v Speaker 1>be a choice for investors, individual investors, so that they

0:22:37.800 --> 0:22:39.520
<v Speaker 1>actually even know somebody on the board. You know, a

0:22:39.520 --> 0:22:41.879
<v Speaker 1>lot of people are like, oh, we support Tesla's board currently.

0:22:42.000 --> 0:22:43.520
<v Speaker 1>I'm like, do you even know who's on the board

0:22:43.560 --> 0:22:46.040
<v Speaker 1>And they're like no, And would you like, would you

0:22:46.080 --> 0:22:48.840
<v Speaker 1>like to see there's another person. Ellen's obviously on the board,

0:22:48.880 --> 0:22:51.040
<v Speaker 1>but Kimball Musk is also on the board. Would you

0:22:51.080 --> 0:22:53.399
<v Speaker 1>like to do you think it is just a board

0:22:53.640 --> 0:22:58.240
<v Speaker 1>of people who really like Elon? And there do I

0:22:58.240 --> 0:23:01.160
<v Speaker 1>I do? And granted I really like Elon too, so

0:23:01.320 --> 0:23:04.640
<v Speaker 1>it's you know, I'm not I'm not a negative person here.

0:23:04.800 --> 0:23:08.000
<v Speaker 1>This is a friendly activist. I'm trying to help Tesla

0:23:08.080 --> 0:23:11.160
<v Speaker 1>in a way that they're not good at. Okay, so there,

0:23:11.200 --> 0:23:14.200
<v Speaker 1>you know. I'm a marketing pr kind of guru. That's

0:23:14.240 --> 0:23:16.160
<v Speaker 1>kind of my thing, and and I think I could

0:23:16.320 --> 0:23:18.399
<v Speaker 1>help the company dramatically, and I've been doing it for

0:23:18.440 --> 0:23:19.960
<v Speaker 1>a long time behind the scenes, and a lot of

0:23:19.960 --> 0:23:22.480
<v Speaker 1>people don't realize that that behind the scenes, I've been

0:23:22.880 --> 0:23:25.000
<v Speaker 1>you know, advising them for years and years and years

0:23:25.040 --> 0:23:28.000
<v Speaker 1>about the way they handle many different elements of their

0:23:28.040 --> 0:23:31.000
<v Speaker 1>marketing and PR. And that said, they've implemented a lot

0:23:31.040 --> 0:23:33.200
<v Speaker 1>of these things over the years and it's been very successful.

0:23:33.240 --> 0:23:36.080
<v Speaker 1>But I think at this point, you know, Tesla is

0:23:36.119 --> 0:23:39.680
<v Speaker 1>now a six billion dollar company and and things like.

0:23:40.320 --> 0:23:42.560
<v Speaker 1>You know, there was an anti Tesla ad that was

0:23:42.680 --> 0:23:45.000
<v Speaker 1>run during the Super Bowl and how this even happened

0:23:45.400 --> 0:23:47.280
<v Speaker 1>is mind blowing to me. And then there was no

0:23:47.400 --> 0:23:50.080
<v Speaker 1>counter to that, and if you look at the headlines,

0:23:50.119 --> 0:23:53.720
<v Speaker 1>they're just very misleading and it and it becomes very tiring. Well, Ross,

0:23:53.760 --> 0:23:56.360
<v Speaker 1>I know you mentioned that you are a fan of Tesla,

0:23:56.400 --> 0:23:58.000
<v Speaker 1>of course, but you would be referred to as a

0:23:58.040 --> 0:24:01.119
<v Speaker 1>dissident shareholder if this one through and management did not

0:24:01.119 --> 0:24:03.800
<v Speaker 1>support your efforts, which is interesting here. Um, I wonder

0:24:03.920 --> 0:24:08.119
<v Speaker 1>have you spoken to Ellen No. Last time he spoke

0:24:08.160 --> 0:24:11.639
<v Speaker 1>was on a Twitter spaces in December where I addressed

0:24:11.720 --> 0:24:14.240
<v Speaker 1>many of the issues that I had and he addressed

0:24:14.240 --> 0:24:16.840
<v Speaker 1>them back in a way that I was pretty happy with.

0:24:17.320 --> 0:24:19.760
<v Speaker 1>But you know, we still don't have a CEO of Twitter,

0:24:19.840 --> 0:24:21.919
<v Speaker 1>and that was one of the things, you know, I

0:24:22.000 --> 0:24:24.919
<v Speaker 1>was hoping for, you know, that he would, you know,

0:24:25.040 --> 0:24:28.120
<v Speaker 1>refocus on Tesla and find the CEO of Twitter and

0:24:28.119 --> 0:24:31.119
<v Speaker 1>and and maybe even work a little bit less on

0:24:31.200 --> 0:24:35.000
<v Speaker 1>creating you know, political comments that creates so much dissonance

0:24:35.040 --> 0:24:38.520
<v Speaker 1>among so many Tesla owners. Um. But you know, I

0:24:38.520 --> 0:24:40.880
<v Speaker 1>don't expect him to change his opinion or what he

0:24:41.040 --> 0:24:43.880
<v Speaker 1>wants to say on Twitter. But I do think his focus.

0:24:44.040 --> 0:24:46.399
<v Speaker 1>I mean, he's working three jobs. He's admitted to himself,

0:24:46.400 --> 0:24:49.280
<v Speaker 1>he's exhausted, he's working seven. But in that Twitter space

0:24:49.280 --> 0:24:51.879
<v Speaker 1>that you mentioned, Ross Musk did tell you that Twitter

0:24:51.960 --> 0:24:54.600
<v Speaker 1>is about ten percent of the complexity of Tesla. Did

0:24:54.600 --> 0:24:57.480
<v Speaker 1>you believe him when he told you that. I think

0:24:57.480 --> 0:25:00.600
<v Speaker 1>that I think he meant that after he's and dealing

0:25:00.680 --> 0:25:03.480
<v Speaker 1>with what he's dealing with. But I don't think he's right.

0:25:03.520 --> 0:25:07.119
<v Speaker 1>I think Twitter is a beast. It's super difficult to manage,

0:25:07.160 --> 0:25:10.480
<v Speaker 1>and we're coming into an election cycle very soon, and

0:25:10.480 --> 0:25:13.480
<v Speaker 1>and boy it's a hard thing to be Twitter during

0:25:13.480 --> 0:25:17.000
<v Speaker 1>an election, clearly, And so I just think this is

0:25:17.040 --> 0:25:20.119
<v Speaker 1>a very big task that he's taken on. And and

0:25:20.280 --> 0:25:22.359
<v Speaker 1>you know, once again, I I hope he said he

0:25:22.359 --> 0:25:25.560
<v Speaker 1>would get a CEO for Twitter and and I think

0:25:25.800 --> 0:25:27.480
<v Speaker 1>that's one of the things I'm pushing for. The sooner

0:25:27.520 --> 0:25:30.399
<v Speaker 1>the better he can have more help and leadership at Twitter,

0:25:30.440 --> 0:25:32.280
<v Speaker 1>the more he can refocus on what's important to me,

0:25:32.320 --> 0:25:35.600
<v Speaker 1>which is getting the cybertruck out and scaling production. And

0:25:36.080 --> 0:25:40.000
<v Speaker 1>we've got battery production scaling so in Mega pac So

0:25:40.040 --> 0:25:42.879
<v Speaker 1>it's a very important time for Tesla. And and and

0:25:42.920 --> 0:25:44.840
<v Speaker 1>I just think he's a human being. And at some

0:25:44.920 --> 0:25:47.120
<v Speaker 1>point you can't work seven days a week, twenty hours

0:25:47.119 --> 0:25:49.360
<v Speaker 1>a day. UM. A couple of quick questions, because we've

0:25:49.359 --> 0:25:51.760
<v Speaker 1>only got a couple of minutes left. Um. Tesla shares

0:25:51.800 --> 0:25:54.000
<v Speaker 1>are up about sixty year to date, they're still down

0:25:54.080 --> 0:25:58.440
<v Speaker 1>more than from that high back in early in November. Ross.

0:25:58.480 --> 0:26:00.600
<v Speaker 1>First of all, have you been buying at all this

0:26:00.680 --> 0:26:04.439
<v Speaker 1>year and adding to your position? Yeah? Within my fund,

0:26:04.480 --> 0:26:06.840
<v Speaker 1>we've added to our position, so we were able to

0:26:06.920 --> 0:26:10.800
<v Speaker 1>buy Tesla shares cheaper to add to our position. Um

0:26:10.840 --> 0:26:14.240
<v Speaker 1>when it went down. UM. So you know last year,

0:26:14.440 --> 0:26:17.320
<v Speaker 1>this year, last year, this year, and and at the

0:26:17.400 --> 0:26:20.399
<v Speaker 1>end of last year and early this year. UM. So

0:26:20.600 --> 0:26:22.879
<v Speaker 1>you know, I can only really comment about my public

0:26:22.920 --> 0:26:25.560
<v Speaker 1>fund because what happens in my firm, you know, varies

0:26:25.600 --> 0:26:28.879
<v Speaker 1>by client and risk and all these other factors, um

0:26:28.920 --> 0:26:31.440
<v Speaker 1>but within my fund we've added to Tesla, it is

0:26:31.480 --> 0:26:33.600
<v Speaker 1>a ten percent waiting currently, a litt less than ten

0:26:33.640 --> 0:26:36.719
<v Speaker 1>percent waiting currently, which is the highest waiting that we

0:26:36.840 --> 0:26:40.760
<v Speaker 1>have for a position. So Tesla's are number one stock.

0:26:40.800 --> 0:26:42.800
<v Speaker 1>I love the company. I think it has a wonderful future,

0:26:43.119 --> 0:26:45.679
<v Speaker 1>but I would like to see some changes in the

0:26:45.680 --> 0:26:49.680
<v Speaker 1>way that they're running the business. Final quick question for you.

0:26:49.960 --> 0:26:51.760
<v Speaker 1>A lot of retail investors, as you know, have a

0:26:52.400 --> 0:26:54.240
<v Speaker 1>of their funds in Tesla. Where do you see the

0:26:54.240 --> 0:26:57.720
<v Speaker 1>biggest upside for them? Well, right now, I think the

0:26:57.760 --> 0:27:01.760
<v Speaker 1>biggest upside for Tesla is number one on successfully scaling

0:27:01.800 --> 0:27:04.600
<v Speaker 1>their production in Berlin and Austin of the model why,

0:27:05.000 --> 0:27:08.560
<v Speaker 1>number two getting the cybertruck out this year at some point.

0:27:08.800 --> 0:27:12.040
<v Speaker 1>And number three it's clearly you know, mega pac production.

0:27:12.119 --> 0:27:14.680
<v Speaker 1>You know, energy storage is going to be a phenomenal

0:27:14.720 --> 0:27:17.600
<v Speaker 1>business for Tesla over time, and and now they're ramping

0:27:17.600 --> 0:27:20.480
<v Speaker 1>this business, so trucks and mega packs. It was really

0:27:20.920 --> 0:27:24.399
<v Speaker 1>the next level for Tesla, and and so you know,

0:27:24.440 --> 0:27:27.119
<v Speaker 1>we're on the verge of a very good growth stage

0:27:27.119 --> 0:27:29.160
<v Speaker 1>for Tesla over the next several years. But I'd love

0:27:29.240 --> 0:27:32.199
<v Speaker 1>to see them really focused on their image in the public.

0:27:32.320 --> 0:27:35.320
<v Speaker 1>Ross too quick questions Twitter. If he wasn't pursuing Twitter,

0:27:35.320 --> 0:27:36.480
<v Speaker 1>do you think you and I would be having this

0:27:36.560 --> 0:27:39.720
<v Speaker 1>question very quickly? No, if he wasn't involved with Twitter,

0:27:39.920 --> 0:27:42.280
<v Speaker 1>I don't think we'd be having this conversation at all.

0:27:42.359 --> 0:27:45.960
<v Speaker 1>And you still want Ellen running this company? Yeah? Absolutely?

0:27:46.680 --> 0:27:49.960
<v Speaker 1>I mean what I really wanted him refocus back on Tesla. Listen,

0:27:50.240 --> 0:27:53.960
<v Speaker 1>so appreciate your time, great conversation, Ross, and looking forward

0:27:53.960 --> 0:27:56.880
<v Speaker 1>to seeing what comes next. Um Ross Gerber, President, chief

0:27:56.880 --> 0:28:00.480
<v Speaker 1>executive officer at Gerber Kawasaki Wealth and Investment Management, UH

0:28:00.560 --> 0:28:02.640
<v Speaker 1>investor in Tesla. It is his top holding. We heard

0:28:02.680 --> 0:28:04.919
<v Speaker 1>him say teen percent waiting in that fund of his

0:28:05.440 --> 0:28:07.679
<v Speaker 1>and also an owner of the cars. Joining us via

0:28:07.760 --> 0:28:11.480
<v Speaker 1>zoom from Santa Monica, California. You're listening to the Bloomberg

0:28:11.520 --> 0:28:14.960
<v Speaker 1>Business Week podcast. Catch us live weekdays from two to

0:28:15.000 --> 0:28:18.760
<v Speaker 1>five pm Easter on Bloomberg Radio, The Bloomberg Business and

0:28:19.080 --> 0:28:21.960
<v Speaker 1>you too. You can also listen live to our flagship

0:28:22.040 --> 0:28:25.679
<v Speaker 1>New York station, Just Say Alexa, play Bloomberg e Love

0:28:25.760 --> 0:28:29.960
<v Speaker 1>and Dirty Well on our radar. This week, thirteen f

0:28:30.040 --> 0:28:33.920
<v Speaker 1>filings which institutional investment managers are required to file quarterly,

0:28:34.200 --> 0:28:36.280
<v Speaker 1>and it really does give investors some clues on how

0:28:36.359 --> 0:28:38.880
<v Speaker 1>some of the most watched investors have been investing their money.

0:28:39.440 --> 0:28:42.320
<v Speaker 1>We are usually obsessed with them and watch them because

0:28:42.320 --> 0:28:45.520
<v Speaker 1>they can move share prices. Our next guest uses machine

0:28:45.600 --> 0:28:49.560
<v Speaker 1>learnings to create index replication ets to track all the

0:28:49.560 --> 0:28:52.960
<v Speaker 1>investments such as hedge funds, VC, venture capital and also

0:28:53.000 --> 0:28:56.440
<v Speaker 1>private equity. Bob Elliott is the CIO at Unlimited and

0:28:56.720 --> 0:29:01.360
<v Speaker 1>is former senior investment executive at Bridgewater Associates. His bio

0:29:01.400 --> 0:29:04.080
<v Speaker 1>reminds us that he built and led Ray Daluous personal

0:29:04.120 --> 0:29:07.320
<v Speaker 1>investment research team for Newly a decade and he's here

0:29:07.320 --> 0:29:10.320
<v Speaker 1>in our Bloomberg Interactive Broker studio. Hey, welcome, Nice to

0:29:10.320 --> 0:29:11.840
<v Speaker 1>have you here with Gina and myself. How are you?

0:29:11.920 --> 0:29:13.520
<v Speaker 1>Thanks so much for having me. Great to be here.

0:29:13.600 --> 0:29:15.680
<v Speaker 1>What was it like to be with Ray fifteen years?

0:29:15.720 --> 0:29:19.240
<v Speaker 1>It was great. It was, you know, really a formative

0:29:19.320 --> 0:29:23.120
<v Speaker 1>time in my career, particularly starting around the financial crisis

0:29:23.280 --> 0:29:27.040
<v Speaker 1>and navigating that challenging time, and then of course you

0:29:27.120 --> 0:29:29.560
<v Speaker 1>know the decade and a half cents and so it

0:29:29.680 --> 0:29:32.120
<v Speaker 1>was really about about the best place and about the

0:29:32.200 --> 0:29:35.040
<v Speaker 1>best time to to learn how the macro economy works

0:29:35.120 --> 0:29:38.280
<v Speaker 1>and how how financial markets work. So it's really it

0:29:38.400 --> 0:29:40.760
<v Speaker 1>was a great time. So talk to us about what

0:29:40.880 --> 0:29:44.560
<v Speaker 1>you've taken from your lessons at Bridgewater and brought to

0:29:44.840 --> 0:29:47.640
<v Speaker 1>your new organization. I mean, it sounds fantastic because it

0:29:47.680 --> 0:29:49.840
<v Speaker 1>sounds like the confluence of hedge funds and AI and

0:29:49.920 --> 0:29:52.480
<v Speaker 1>machine learning, and these are all things that people are very,

0:29:52.720 --> 0:29:56.720
<v Speaker 1>very captivated by. So how are you utilizing a machine

0:29:56.760 --> 0:29:59.000
<v Speaker 1>or learning in your process? Now? Well, if you think

0:29:59.040 --> 0:30:02.880
<v Speaker 1>about it, most investors, whether they're explicit about it or not,

0:30:03.160 --> 0:30:06.520
<v Speaker 1>use a set of decision rules to make to inform

0:30:06.600 --> 0:30:09.560
<v Speaker 1>their investment decisions, right, And of course some people are

0:30:09.640 --> 0:30:13.320
<v Speaker 1>more explicit about it, using an explicit systematic approach. Some

0:30:13.480 --> 0:30:16.960
<v Speaker 1>people call themselves discretionary, but they're using heuristics. And what

0:30:17.120 --> 0:30:19.840
<v Speaker 1>we can do is we can draw on our understanding

0:30:20.000 --> 0:30:23.600
<v Speaker 1>of the types of decisions that those investors are making,

0:30:23.720 --> 0:30:26.520
<v Speaker 1>the types of assets that they're making across different hedge

0:30:26.560 --> 0:30:29.280
<v Speaker 1>fund strategies. So like equity long short managers are a

0:30:29.280 --> 0:30:32.120
<v Speaker 1>little different than global macro folks than fixed income are.

0:30:32.680 --> 0:30:35.360
<v Speaker 1>And with that understanding, we can actually look at the

0:30:35.480 --> 0:30:41.000
<v Speaker 1>returns of those managers and infer what they're doing and

0:30:41.080 --> 0:30:43.480
<v Speaker 1>close to real time, and and that's what we're really doing.

0:30:43.520 --> 0:30:46.200
<v Speaker 1>That's what our technology is all about, is understand seeing

0:30:46.280 --> 0:30:49.960
<v Speaker 1>what they're doing, seeing the outcomes of their strategies, knowing

0:30:50.000 --> 0:30:52.480
<v Speaker 1>what they could plausibly be betting on long and short,

0:30:52.640 --> 0:30:54.760
<v Speaker 1>and then we can take that understanding and package it

0:30:54.840 --> 0:30:57.400
<v Speaker 1>into an et F structure and make it accessible to

0:30:57.440 --> 0:31:00.040
<v Speaker 1>everyone in a in a very tax efficient form of

0:31:00.120 --> 0:31:02.200
<v Speaker 1>back testing. Did you do to really figure out that

0:31:02.280 --> 0:31:04.600
<v Speaker 1>this works? Because because once you get the filings right,

0:31:04.960 --> 0:31:07.120
<v Speaker 1>all of these investment folks could have been out of

0:31:07.160 --> 0:31:09.920
<v Speaker 1>the positions in different positions. So I'm trying to understand

0:31:10.280 --> 0:31:12.840
<v Speaker 1>how this strategy can be used going forward. We don't

0:31:12.840 --> 0:31:14.920
<v Speaker 1>actually look at the filings. We look at the returns,

0:31:14.960 --> 0:31:17.880
<v Speaker 1>which is really important because but it's still after the fact,

0:31:17.960 --> 0:31:19.920
<v Speaker 1>isn't it. It is after the fact that we actually

0:31:20.040 --> 0:31:23.440
<v Speaker 1>have pretty timely returned some some returns information that's daily,

0:31:23.600 --> 0:31:25.920
<v Speaker 1>some of it is a few days after the end

0:31:25.960 --> 0:31:27.440
<v Speaker 1>of the month, and so we have a pretty good

0:31:27.560 --> 0:31:30.680
<v Speaker 1>real time sense of what types of positions these folks

0:31:30.760 --> 0:31:33.000
<v Speaker 1>have on. And the interesting thing is at sort of

0:31:33.040 --> 0:31:35.719
<v Speaker 1>the industry wide level or hedge fund style level, they

0:31:35.760 --> 0:31:39.200
<v Speaker 1>don't move that fast. Uh, you know, the shifts say

0:31:39.320 --> 0:31:42.560
<v Speaker 1>from being very into growth stocks and tech stocks to

0:31:42.720 --> 0:31:46.320
<v Speaker 1>being more positioned in value stocks really transitioned from say

0:31:46.360 --> 0:31:50.320
<v Speaker 1>the summer of until early two. That's a pretty normal,

0:31:50.800 --> 0:31:55.080
<v Speaker 1>normal shift in thinking and positioning amongst hedge fund managers.

0:31:55.160 --> 0:31:57.440
<v Speaker 1>That's sort of twelve to eighteen month time frame. And

0:31:57.520 --> 0:32:00.160
<v Speaker 1>so when we're when we're doing what we're doing, we're

0:32:00.160 --> 0:32:03.440
<v Speaker 1>a few weeks behind the actual positions. But you know,

0:32:03.600 --> 0:32:08.600
<v Speaker 1>relative to relative to capturing understanding of what these most

0:32:08.640 --> 0:32:11.920
<v Speaker 1>sophisticated asset managers are doing, it's it's it's a pretty

0:32:11.960 --> 0:32:14.560
<v Speaker 1>good job of capturing what they're doing. And then when

0:32:14.640 --> 0:32:17.760
<v Speaker 1>you're actually capturing what they're you're doing. Are you investing

0:32:17.840 --> 0:32:21.320
<v Speaker 1>alongside them effectively or are you ever going against them?

0:32:21.400 --> 0:32:23.640
<v Speaker 1>For instance, if they're going more long small caps, are

0:32:23.680 --> 0:32:26.240
<v Speaker 1>you always going more along small caps or are you

0:32:26.360 --> 0:32:29.320
<v Speaker 1>taking that as a contrary signal and going short small

0:32:29.360 --> 0:32:31.160
<v Speaker 1>caps in your strategy. What we're doing with our first

0:32:31.240 --> 0:32:34.960
<v Speaker 1>product is we're replicating the returns of the aggregate hedge

0:32:35.000 --> 0:32:37.080
<v Speaker 1>fund industry. So we're going along with what we see

0:32:37.440 --> 0:32:40.600
<v Speaker 1>those managers doing and trying to match it as closely

0:32:40.640 --> 0:32:42.600
<v Speaker 1>as we can. And that's because you know, the truth is,

0:32:42.680 --> 0:32:46.840
<v Speaker 1>hedge fund managers are pretty darn good at invest of them,

0:32:48.080 --> 0:32:53.160
<v Speaker 1>surely inaggregate, particularly when you when you consider the strategy.

0:32:53.240 --> 0:32:55.080
<v Speaker 1>So if you add back the fees, which is really

0:32:55.120 --> 0:32:56.320
<v Speaker 1>one of the things that we can do because we

0:32:56.400 --> 0:32:59.040
<v Speaker 1>don't have to charge two in twine, we use technology

0:32:59.080 --> 0:33:01.440
<v Speaker 1>to replicate what they're doing rather than charge two in

0:33:01.480 --> 0:33:04.560
<v Speaker 1>twenty and so grossive fees. You know, if you add

0:33:04.720 --> 0:33:07.760
<v Speaker 1>back the fees, hedgemen managers are great. It's just the challenges.

0:33:07.840 --> 0:33:11.400
<v Speaker 1>You can't invest in them typically without that high fee structure,

0:33:11.440 --> 0:33:13.680
<v Speaker 1>and so what we're trying to do is infer what

0:33:13.800 --> 0:33:16.440
<v Speaker 1>they're doing and offer it a much lower fee structure

0:33:16.720 --> 0:33:19.000
<v Speaker 1>than a typical LP position. How does this work for

0:33:19.120 --> 0:33:22.720
<v Speaker 1>VC and PE, because they're not all the same worlds.

0:33:23.240 --> 0:33:26.760
<v Speaker 1>Absolutely absolutely, those those positions and those exposures are different.

0:33:26.840 --> 0:33:29.600
<v Speaker 1>Although the same idea that there's a set of core

0:33:29.720 --> 0:33:33.600
<v Speaker 1>decision rules that those investors are making to identify what

0:33:33.840 --> 0:33:36.160
<v Speaker 1>type of investments they wanted they want to put in,

0:33:36.720 --> 0:33:39.120
<v Speaker 1>they want to invest in is it's it's the same

0:33:39.160 --> 0:33:42.000
<v Speaker 1>basic concept, except they're what we're doing is we're looking

0:33:42.040 --> 0:33:46.040
<v Speaker 1>at their private market investments and finding look alike type

0:33:46.120 --> 0:33:49.920
<v Speaker 1>companies in the public markets that we can use that

0:33:50.080 --> 0:33:52.640
<v Speaker 1>look a lot like the type of investments that they're doing,

0:33:52.720 --> 0:33:55.480
<v Speaker 1>particularly later stage investments that they're doing. We can take

0:33:55.520 --> 0:33:59.080
<v Speaker 1>that understanding, find lookalikes in the public markets and use

0:33:59.200 --> 0:34:01.160
<v Speaker 1>that and package that as an e t F to

0:34:01.240 --> 0:34:04.320
<v Speaker 1>make it widely accessible. And the tradeoff is it's imperfect,

0:34:04.600 --> 0:34:06.320
<v Speaker 1>but you also don't have your money locked up for

0:34:06.600 --> 0:34:08.640
<v Speaker 1>you know, ten or twelve years, and you don't have

0:34:08.719 --> 0:34:11.360
<v Speaker 1>to pay two and twenty fees. So how do you

0:34:11.520 --> 0:34:15.120
<v Speaker 1>Speaking of fees, I think immediately of transactions costs, I

0:34:15.160 --> 0:34:17.080
<v Speaker 1>would think that this is a pretty lumpy sort of

0:34:17.160 --> 0:34:20.280
<v Speaker 1>transactions cost strategy where you have the thirteen F filings,

0:34:20.320 --> 0:34:23.080
<v Speaker 1>all of your transactions occur. How do you manage those

0:34:23.120 --> 0:34:25.680
<v Speaker 1>transactions costs and also manage the impact that you may

0:34:25.760 --> 0:34:29.399
<v Speaker 1>have on the market by having such a lumpy trading period. Yeah,

0:34:29.440 --> 0:34:31.680
<v Speaker 1>because we're looking at the returns, we actually get information

0:34:31.719 --> 0:34:35.080
<v Speaker 1>incremental information kind of all the time. Every week or

0:34:35.120 --> 0:34:38.640
<v Speaker 1>two we're getting new incremental information, and so that allows

0:34:38.760 --> 0:34:43.040
<v Speaker 1>us to evolve the portfolio through time in instead of

0:34:43.080 --> 0:34:45.560
<v Speaker 1>in a concentrated way, in an incremental way, and that,

0:34:45.880 --> 0:34:49.399
<v Speaker 1>and that helps reduce the transactions costs that that we see.

0:34:49.440 --> 0:34:51.840
<v Speaker 1>We also typically are trading in you know, some of

0:34:51.840 --> 0:34:55.600
<v Speaker 1>the biggest liquid markets, the sixty biggest liquid markets in

0:34:55.680 --> 0:34:58.880
<v Speaker 1>the world, and so those markets fortunately have much lower

0:34:58.920 --> 0:35:01.759
<v Speaker 1>transactions costs. Then if you know, we were trading very

0:35:01.840 --> 0:35:05.240
<v Speaker 1>specific positions, so no fees or low fees, low fees.

0:35:06.400 --> 0:35:10.120
<v Speaker 1>We we charge a basis point management fee, which you know,

0:35:10.239 --> 0:35:13.640
<v Speaker 1>when you think about that in the context of say

0:35:14.200 --> 0:35:17.080
<v Speaker 1>two and twenty type products, right, you know, a typical

0:35:17.160 --> 0:35:20.200
<v Speaker 1>hedge fund strategy charge what four dred basis points on

0:35:20.280 --> 0:35:24.440
<v Speaker 1>average per year looks like a good deal, and you know,

0:35:24.640 --> 0:35:26.160
<v Speaker 1>I probably don't have to sell you all on the

0:35:26.200 --> 0:35:28.120
<v Speaker 1>E t F structure. But it also comes with the

0:35:28.160 --> 0:35:31.640
<v Speaker 1>incredible tax efficiency of an et F, whereas most of

0:35:31.760 --> 0:35:34.880
<v Speaker 1>these hedge fund structures are fund to fund structures are

0:35:34.960 --> 0:35:38.719
<v Speaker 1>typically LP positions and their tax at ordinary income, which

0:35:38.800 --> 0:35:41.080
<v Speaker 1>is much less efficient than an E t F. Bob,

0:35:41.160 --> 0:35:43.160
<v Speaker 1>how do you think, though, you know, we're coming out

0:35:43.160 --> 0:35:46.160
<v Speaker 1>of this environment where money was so cheap for such

0:35:46.239 --> 0:35:48.320
<v Speaker 1>a long time, and we're also coming out of a

0:35:48.400 --> 0:35:51.040
<v Speaker 1>pandemic where again we had just so much money flooding

0:35:51.080 --> 0:35:53.480
<v Speaker 1>the market. How might that though, we're all trying to

0:35:53.600 --> 0:35:56.040
<v Speaker 1>figure out what everything is on the other side and

0:35:56.120 --> 0:35:58.640
<v Speaker 1>whether we are in somewhat of a new normal, right, so,

0:35:59.040 --> 0:36:03.520
<v Speaker 1>how do you think about how that might potentially impact performance?

0:36:03.920 --> 0:36:08.200
<v Speaker 1>For sure, the dynamic for fifteen years of unbridled monetary

0:36:08.239 --> 0:36:12.280
<v Speaker 1>stimulation was if you bought pretty much pretty much everything

0:36:12.320 --> 0:36:15.040
<v Speaker 1>went up, and the more risky the thing that you bought,

0:36:15.520 --> 0:36:18.080
<v Speaker 1>the more it went up. Typically, And and that air

0:36:18.200 --> 0:36:20.640
<v Speaker 1>is over and the fetes make it very clear that

0:36:20.719 --> 0:36:23.000
<v Speaker 1>that era is over. And so now we're in an

0:36:23.040 --> 0:36:27.520
<v Speaker 1>era of tighter monetary policy and a lot more macroeconomic uncertainty.

0:36:27.960 --> 0:36:30.840
<v Speaker 1>And that's a period of time where alpha typically shines,

0:36:31.320 --> 0:36:34.759
<v Speaker 1>right because you have the most sophisticated asset managers who

0:36:34.840 --> 0:36:38.000
<v Speaker 1>can who spend billions of dollars on you know, the

0:36:38.520 --> 0:36:41.960
<v Speaker 1>smartest minds to figure out what's likely to transpire, and

0:36:42.160 --> 0:36:44.839
<v Speaker 1>that's where they really shine is in those difficult moments,

0:36:44.880 --> 0:36:48.880
<v Speaker 1>those uncertain moments, where they can position their portfolios agilely

0:36:49.320 --> 0:36:52.760
<v Speaker 1>in a way that helps them navigate the difficult environment.

0:36:52.800 --> 0:36:55.120
<v Speaker 1>If you look back last year, you know, hedge funds,

0:36:55.239 --> 0:36:58.600
<v Speaker 1>the hedge fund industry in general, inaggregate was roughly flat

0:36:58.840 --> 0:37:03.040
<v Speaker 1>at a time when stock index investing was down fifteen.

0:37:04.160 --> 0:37:07.759
<v Speaker 1>That's the that's the type of significant outperformance that you

0:37:07.840 --> 0:37:10.759
<v Speaker 1>can see in these in these very challenging times from

0:37:10.800 --> 0:37:13.640
<v Speaker 1>the sophisticated asset managers. So you gave us the opening

0:37:13.680 --> 0:37:15.759
<v Speaker 1>to talk about positioning, So I'm just going to dive

0:37:15.880 --> 0:37:18.080
<v Speaker 1>right in. What are you seeing with respect to positioning.

0:37:18.120 --> 0:37:20.200
<v Speaker 1>You talked a little bit about the value growth transition

0:37:20.280 --> 0:37:23.239
<v Speaker 1>or the growth value transition over the last year. What

0:37:23.400 --> 0:37:26.239
<v Speaker 1>are the big themes in terms of positioning this year.

0:37:26.480 --> 0:37:29.920
<v Speaker 1>I think the biggest thing, which connects to that aggregate

0:37:30.000 --> 0:37:34.320
<v Speaker 1>uncertainty is we're actually seeing managers playing about as conservatively

0:37:34.600 --> 0:37:37.080
<v Speaker 1>as we have seen in the last twenty five years

0:37:37.160 --> 0:37:40.919
<v Speaker 1>other than the acute crisis periods of oh eight and twenty.

0:37:41.239 --> 0:37:42.960
<v Speaker 1>And I think that speaks to the fact that there

0:37:43.160 --> 0:37:46.479
<v Speaker 1>is a lot of uncertainty, macro uncertainty about exactly where

0:37:46.520 --> 0:37:49.279
<v Speaker 1>we're going. Is it, you know, higher for longer or

0:37:49.719 --> 0:37:52.480
<v Speaker 1>has the FED tightened enough to tip us into recession?

0:37:52.760 --> 0:37:56.520
<v Speaker 1>And in those moments, um you don't have to you

0:37:56.600 --> 0:38:00.960
<v Speaker 1>don't have to hold your max positions in order to uh,

0:38:01.080 --> 0:38:04.680
<v Speaker 1>in order to continue to earn, to continue to deliver

0:38:04.800 --> 0:38:07.960
<v Speaker 1>those returns. And so that's what we're seeing is a conservativism.

0:38:08.280 --> 0:38:11.040
<v Speaker 1>And then under the under the hood, what we're seeing

0:38:11.120 --> 0:38:14.320
<v Speaker 1>is a bunch of positioning in line with that, tilted

0:38:14.320 --> 0:38:18.120
<v Speaker 1>towards value stocks, tilted towards higher top part of the

0:38:18.200 --> 0:38:21.840
<v Speaker 1>credit stack, Positions like that that are defensive in nature

0:38:21.880 --> 0:38:23.560
<v Speaker 1>in this environment. All right, we're gonna have to leave

0:38:23.600 --> 0:38:24.960
<v Speaker 1>it there. I'm good to know. I know you're just

0:38:25.040 --> 0:38:27.080
<v Speaker 1>getting these funds off the ground, or get you got

0:38:27.160 --> 0:38:29.440
<v Speaker 1>one fund off the ground, right, one fund HF N

0:38:29.480 --> 0:38:32.120
<v Speaker 1>D t F. Looking looking forward to here a little

0:38:32.120 --> 0:38:34.399
<v Speaker 1>bit more as you guys build out. Bob Elliott, Chief

0:38:34.440 --> 0:38:42.280
<v Speaker 1>Investment Officer and Unlimited Here in our studio, you're listening

0:38:42.360 --> 0:38:45.839
<v Speaker 1>to the Bloomberg Business Week podcast. Catch Just Live week

0:38:45.920 --> 0:38:48.919
<v Speaker 1>days from two to five pm Easter on Bloomberg Radio,

0:38:49.160 --> 0:38:52.040
<v Speaker 1>The Bloomberg Business a band you Doo. You can also

0:38:52.160 --> 0:38:55.399
<v Speaker 1>listen live to our flagship New York station, Just Say

0:38:55.520 --> 0:39:00.000
<v Speaker 1>Alexa play Bloomberg Love and Dirty. We talked about the

0:39:00.000 --> 0:39:02.239
<v Speaker 1>Bluebird Big take, one of the most read about. How

0:39:02.880 --> 0:39:04.960
<v Speaker 1>many years what three years into the pandemic and you

0:39:05.040 --> 0:39:07.800
<v Speaker 1>still have business leaders and city officials um around the

0:39:07.840 --> 0:39:10.960
<v Speaker 1>world still trying just about everything to get people and

0:39:11.040 --> 0:39:15.480
<v Speaker 1>employees back into offices and revive local economies. Um, we

0:39:15.880 --> 0:39:18.440
<v Speaker 1>have a great next guest who can give us an

0:39:18.480 --> 0:39:20.480
<v Speaker 1>idea of what's going on in the labor market and

0:39:20.560 --> 0:39:22.560
<v Speaker 1>some of the trends that he is seeing. So back

0:39:22.600 --> 0:39:25.719
<v Speaker 1>with us, as LinkedIn. Chief operating Officer Dan Shapiro. He

0:39:25.840 --> 0:39:28.279
<v Speaker 1>joins this via zoom from Mountain View, California. Dan, it

0:39:28.400 --> 0:39:30.640
<v Speaker 1>is so great to have you back with us, UH,

0:39:30.680 --> 0:39:33.640
<v Speaker 1>and here with myself and Gina. We did talk about

0:39:33.680 --> 0:39:36.680
<v Speaker 1>a year ago. Tell me about your world since then. Um,

0:39:37.120 --> 0:39:39.520
<v Speaker 1>how does the working world compare to where we were

0:39:40.040 --> 0:39:44.960
<v Speaker 1>then versus today? Sure? Great to be back, and it's

0:39:45.000 --> 0:39:47.279
<v Speaker 1>a topic on the minds of many people and many

0:39:47.320 --> 0:39:50.280
<v Speaker 1>executives all over the world. But one of the things

0:39:50.400 --> 0:39:52.799
<v Speaker 1>that is most notable about the moment when right now

0:39:53.440 --> 0:39:56.319
<v Speaker 1>is that there are very different perspectives being held by

0:39:56.400 --> 0:40:01.080
<v Speaker 1>senior leaders versus individual workers around company. UH. As much

0:40:01.120 --> 0:40:04.440
<v Speaker 1>as eight percent of senior leaders believe that people do

0:40:04.600 --> 0:40:06.840
<v Speaker 1>their best work when they come into the office on

0:40:06.960 --> 0:40:10.680
<v Speaker 1>a regular basis, and at the same time of individual

0:40:10.760 --> 0:40:13.680
<v Speaker 1>workers believe that they can work from anywhere. So there's

0:40:13.760 --> 0:40:18.640
<v Speaker 1>this massive disconnect in perception of how the best work

0:40:18.680 --> 0:40:21.919
<v Speaker 1>gets done at the senior leadership levels versus the front line.

0:40:22.160 --> 0:40:25.040
<v Speaker 1>And I think that that's playing out in basically every

0:40:25.120 --> 0:40:28.080
<v Speaker 1>industry and every market around the world. Now, the question is,

0:40:28.560 --> 0:40:33.719
<v Speaker 1>as we move into a more uncertain economic moments where uh,

0:40:33.920 --> 0:40:36.840
<v Speaker 1>senior leaders have what you might argue is more leverage

0:40:36.880 --> 0:40:40.040
<v Speaker 1>in these discussions, are they going to really ask people

0:40:40.239 --> 0:40:42.160
<v Speaker 1>or require people to come back in the office. And

0:40:42.200 --> 0:40:44.759
<v Speaker 1>you're seeing many organizations go that route. J and I

0:40:44.840 --> 0:40:46.879
<v Speaker 1>were just talking about this off air, this whole idea

0:40:46.920 --> 0:40:50.400
<v Speaker 1>of a tight labor market. Uh, you know, employees have

0:40:50.480 --> 0:40:52.239
<v Speaker 1>certainly been in the driver's seat, but you do wonder

0:40:52.400 --> 0:40:55.000
<v Speaker 1>write you know, if things change, you know what we

0:40:55.080 --> 0:40:58.200
<v Speaker 1>see a bunch of workers ledting back to the office. Yeah. Absolutely,

0:40:58.280 --> 0:41:00.640
<v Speaker 1>And that that's my question for you. And are you

0:41:00.800 --> 0:41:05.040
<v Speaker 1>actually seeing then job postings shift to reflect that sort

0:41:05.080 --> 0:41:09.400
<v Speaker 1>of senior leader belief or are they still generally posting

0:41:09.560 --> 0:41:12.560
<v Speaker 1>jobs with a hybrid kind of tilt to them. How

0:41:12.600 --> 0:41:15.200
<v Speaker 1>have you seen the job postings on LinkedIn really shift

0:41:15.239 --> 0:41:18.680
<v Speaker 1>over the course of the last year to reflect these beliefs. Yeah,

0:41:18.719 --> 0:41:21.800
<v Speaker 1>you're seeing the pendulum swing back in. Any Ways, I

0:41:21.880 --> 0:41:24.320
<v Speaker 1>think for the first to just look at remote roles.

0:41:24.920 --> 0:41:28.520
<v Speaker 1>So right now on the LinkedIn platform, the applications to

0:41:28.760 --> 0:41:32.440
<v Speaker 1>remote roles is well in access a sorry in excess

0:41:32.960 --> 0:41:35.600
<v Speaker 1>of the number of job postings remote roles. And I

0:41:35.640 --> 0:41:37.040
<v Speaker 1>think it might have been about a year ago that

0:41:37.120 --> 0:41:40.560
<v Speaker 1>we saw remote roles on LinkedIn peak at about and

0:41:41.440 --> 0:41:44.680
<v Speaker 1>that numbers come down to fourteen percent or lower, depending

0:41:44.760 --> 0:41:47.040
<v Speaker 1>upon what market you're looking at. So you're seeing a

0:41:47.160 --> 0:41:51.440
<v Speaker 1>retrenching towards wanting people to be around office locations. And

0:41:51.520 --> 0:41:55.839
<v Speaker 1>then within hybrid you're seeing different organizations adopt different expectations

0:41:55.880 --> 0:41:58.000
<v Speaker 1>of what flexibility means. Is it about three days in

0:41:58.040 --> 0:42:00.560
<v Speaker 1>the office, is it about five days in the office? Um?

0:42:00.680 --> 0:42:03.080
<v Speaker 1>But it's very clear is that senior leaders are taking

0:42:03.120 --> 0:42:06.440
<v Speaker 1>this moment to reset the social contract with their employees

0:42:06.480 --> 0:42:10.680
<v Speaker 1>if they can. And but you're still seeing workers prefer

0:42:10.960 --> 0:42:13.840
<v Speaker 1>to work at organizations where remote is available in some

0:42:14.000 --> 0:42:17.279
<v Speaker 1>cases or where there's a lot of flexibility. And as

0:42:17.360 --> 0:42:22.759
<v Speaker 1>we go into what appears like a slowdown in the economy, UM,

0:42:23.440 --> 0:42:27.200
<v Speaker 1>you know you're seeing more people uh hold onto the

0:42:27.320 --> 0:42:30.960
<v Speaker 1>jobs they have, be less open to move between jobs,

0:42:31.040 --> 0:42:34.319
<v Speaker 1>and senior leaders are taking that opportunity to reset expectations. Hey, Dan,

0:42:34.400 --> 0:42:36.320
<v Speaker 1>do you think leaders are making a mistake by not

0:42:36.440 --> 0:42:38.759
<v Speaker 1>being maybe more flexible even if we start to see

0:42:38.920 --> 0:42:40.840
<v Speaker 1>the labor market not as tight as we've seen, Like,

0:42:41.040 --> 0:42:44.200
<v Speaker 1>is it smarter to kind of make it flexible that

0:42:44.520 --> 0:42:45.959
<v Speaker 1>you know, if you think about it right, your pool

0:42:46.000 --> 0:42:48.440
<v Speaker 1>of workers are available, workers that you can hire can

0:42:48.480 --> 0:42:52.000
<v Speaker 1>be much greater if you're willing to kind of go anywhere. Yeah,

0:42:52.040 --> 0:42:53.920
<v Speaker 1>I think I think flexible. I think the question is

0:42:53.960 --> 0:42:57.320
<v Speaker 1>what does flexibility meaning your organization? Um, there's no question

0:42:57.440 --> 0:43:01.720
<v Speaker 1>that people do work well when they are periodically getting together.

0:43:01.960 --> 0:43:04.240
<v Speaker 1>You know, sometimes doing certain kinds of work is useful

0:43:04.320 --> 0:43:06.840
<v Speaker 1>to being in the same location, but it's definitely essential

0:43:06.920 --> 0:43:09.840
<v Speaker 1>to building strong relationships. Um. But the question is what

0:43:09.880 --> 0:43:13.160
<v Speaker 1>does flexibility meaning in your organization? The truth is that

0:43:13.239 --> 0:43:17.480
<v Speaker 1>despite all the headlines of macroeconomic slowdown on a global basis,

0:43:17.600 --> 0:43:20.319
<v Speaker 1>the labor market is still quite tight. It's tighter than

0:43:20.400 --> 0:43:24.480
<v Speaker 1>it was pre COVID, And so while you might see

0:43:24.520 --> 0:43:29.560
<v Speaker 1>headlines around UH technology companies going through layoffs are slowing

0:43:29.600 --> 0:43:33.720
<v Speaker 1>down hiring, by and large, you still see continued hiring

0:43:33.800 --> 0:43:36.680
<v Speaker 1>across most industries, and in fact, one of the most

0:43:36.719 --> 0:43:40.759
<v Speaker 1>interesting dynamics is that many companies in industries outside of

0:43:40.840 --> 0:43:45.080
<v Speaker 1>tech have huge technology teams within their organization and they're

0:43:45.120 --> 0:43:48.040
<v Speaker 1>taking this moment to pick up talent that might have

0:43:48.160 --> 0:43:51.480
<v Speaker 1>been previously unavailable to them because they weren't competitive for

0:43:51.560 --> 0:43:53.800
<v Speaker 1>these roles. It's almost like we're about to watch this

0:43:53.920 --> 0:43:57.840
<v Speaker 1>massive tech talent diaspora across industries. And so if you

0:43:57.880 --> 0:44:00.520
<v Speaker 1>want to be competitive for that kind of talent, even

0:44:00.560 --> 0:44:03.920
<v Speaker 1>though it might feel like, um, you're you're moving away

0:44:04.000 --> 0:44:07.400
<v Speaker 1>from a fully job secret focused market, Um, you're going

0:44:07.440 --> 0:44:09.600
<v Speaker 1>to want to have some flexibility built in your mono

0:44:09.640 --> 0:44:12.760
<v Speaker 1>because that's what that town is looking for. So, speaking

0:44:12.800 --> 0:44:14.560
<v Speaker 1>of what talent is looking for, I want to go

0:44:14.680 --> 0:44:16.640
<v Speaker 1>back to something you said earlier and kind of get

0:44:16.800 --> 0:44:19.120
<v Speaker 1>another stat from you, and that was you mentioned that

0:44:19.920 --> 0:44:25.240
<v Speaker 1>the remote role applications are incredible. Right A company posts

0:44:25.320 --> 0:44:28.440
<v Speaker 1>a remote role and they get a lot of job applications.

0:44:28.880 --> 0:44:31.440
<v Speaker 1>Are you then seeing the inverse as well? A company

0:44:31.520 --> 0:44:33.719
<v Speaker 1>that posts a not remote role or a fully in

0:44:33.880 --> 0:44:38.080
<v Speaker 1>office role, are their applications then perilously low? Still? Are

0:44:38.120 --> 0:44:40.600
<v Speaker 1>we still in that environment where the job market is

0:44:40.719 --> 0:44:43.480
<v Speaker 1>so tight that nobody even bothers to apply for the

0:44:43.600 --> 0:44:46.839
<v Speaker 1>roles that are in office. I think that people are

0:44:46.880 --> 0:44:49.759
<v Speaker 1>still applying to in office roles, but then they're going

0:44:49.840 --> 0:44:53.400
<v Speaker 1>in and having deep conversations with those employers about what

0:44:53.480 --> 0:44:55.440
<v Speaker 1>does it mean to be in office? Like do you

0:44:55.480 --> 0:44:57.600
<v Speaker 1>mean do you mean me coming here five days a

0:44:57.640 --> 0:45:00.200
<v Speaker 1>week from nine to five or whatever those hour are,

0:45:00.640 --> 0:45:02.479
<v Speaker 1>or is it something where I can weave it into

0:45:02.560 --> 0:45:05.319
<v Speaker 1>the way I've built my life since the pandemic um?

0:45:05.760 --> 0:45:08.759
<v Speaker 1>You know that being said, the basic math of the

0:45:08.840 --> 0:45:11.279
<v Speaker 1>situation is that when you make a role remote, you

0:45:11.400 --> 0:45:14.480
<v Speaker 1>open yourself up to job seekers across a wide range

0:45:14.520 --> 0:45:18.399
<v Speaker 1>of locations. It massively expands the talent pool um, which

0:45:18.440 --> 0:45:21.560
<v Speaker 1>has been an incredible vehicle for companies to hire folks

0:45:21.600 --> 0:45:24.080
<v Speaker 1>that previously they never would have been able to engage with.

0:45:24.239 --> 0:45:27.120
<v Speaker 1>So I think it really comes down to organizations figuring

0:45:27.160 --> 0:45:30.279
<v Speaker 1>out what their talent needs are and then understanding what

0:45:30.400 --> 0:45:32.719
<v Speaker 1>the work style makes most sense for their organization. But

0:45:32.840 --> 0:45:35.439
<v Speaker 1>it's it's probably gonna have some degree of flexibility built

0:45:35.480 --> 0:45:37.440
<v Speaker 1>into it, Dan, what are you guys doing at LinkedIn

0:45:39.160 --> 0:45:42.080
<v Speaker 1>Um From a talent perspective, we we've adopted a phrase

0:45:42.120 --> 0:45:46.160
<v Speaker 1>of we trust our employees to work where they work best.

0:45:46.239 --> 0:45:48.960
<v Speaker 1>When it makes sense for them and their teams, and

0:45:49.120 --> 0:45:52.640
<v Speaker 1>so oftentimes will encourage folks to come together for certain

0:45:52.719 --> 0:45:55.600
<v Speaker 1>kinds of work. We definitely foster gatherings, but we also

0:45:55.719 --> 0:45:58.680
<v Speaker 1>know that sometimes people's work style works really well for

0:45:58.760 --> 0:46:01.239
<v Speaker 1>them to do their work from home, either all the

0:46:01.360 --> 0:46:04.440
<v Speaker 1>time or some days a week. What do you think

0:46:04.560 --> 0:46:07.680
<v Speaker 1>is behind this notion that senior leaders have Eight of

0:46:07.760 --> 0:46:10.400
<v Speaker 1>senior leaders think that people are more effective in the office.

0:46:10.440 --> 0:46:13.360
<v Speaker 1>I'm just curious what is what's the data or the

0:46:13.560 --> 0:46:19.239
<v Speaker 1>reasoning behind that belief system. Were they particularly unsatisfied with

0:46:19.320 --> 0:46:23.360
<v Speaker 1>how workers behaved? You know? In one? Is there something

0:46:23.440 --> 0:46:29.040
<v Speaker 1>else there? Well? I think that from what I've seen

0:46:29.120 --> 0:46:31.759
<v Speaker 1>a lot of it is instinct. Um. A lot of

0:46:31.840 --> 0:46:34.479
<v Speaker 1>it is that when you lose visibility of what people doing,

0:46:34.880 --> 0:46:37.880
<v Speaker 1>you wonder what their contributions are. I think it's a

0:46:37.960 --> 0:46:43.400
<v Speaker 1>very human reaction. UM. I also think though, that business

0:46:43.480 --> 0:46:47.800
<v Speaker 1>is a team sport, and some work is essential for

0:46:47.920 --> 0:46:50.160
<v Speaker 1>people to get together, to feed off of each other,

0:46:50.320 --> 0:46:54.560
<v Speaker 1>to create that organic energy and UM that is often

0:46:54.640 --> 0:46:57.000
<v Speaker 1>best done when people are in the same physical location.

0:46:57.080 --> 0:46:58.799
<v Speaker 1>I don't know about about your jobs, and my job

0:46:58.920 --> 0:47:02.360
<v Speaker 1>is about interacting with bowl across a wide range of

0:47:02.440 --> 0:47:05.440
<v Speaker 1>our organization, and so getting people together to do that

0:47:05.480 --> 0:47:07.400
<v Speaker 1>work in some way sometimes the best way to get

0:47:07.480 --> 0:47:10.080
<v Speaker 1>things done. Yeah. I think there's some truth to what

0:47:10.360 --> 0:47:12.560
<v Speaker 1>leadership is feeling. But the question is how to balance

0:47:12.640 --> 0:47:14.239
<v Speaker 1>that with the reality that sometimes the best way to

0:47:14.280 --> 0:47:16.200
<v Speaker 1>get something done is to sit down by yourself and

0:47:16.280 --> 0:47:19.719
<v Speaker 1>knock it out. Yeah. Absolutely, if you consider the interruptions

0:47:19.760 --> 0:47:22.719
<v Speaker 1>you have sometimes, whether it's the emails, whether it's just

0:47:22.760 --> 0:47:26.759
<v Speaker 1>people walking over uh, you know, sometimes I think just

0:47:26.840 --> 0:47:29.479
<v Speaker 1>being kind of home and just focusing. We've been talking

0:47:29.560 --> 0:47:32.920
<v Speaker 1>with LinkedIn Chief operating Officer Dan Shapiro, still with us

0:47:32.960 --> 0:47:35.719
<v Speaker 1>via zoom from Mountain View, California. So, Dan, Gina and

0:47:35.760 --> 0:47:37.799
<v Speaker 1>I have been having a conversation because we've been talking

0:47:37.920 --> 0:47:42.320
<v Speaker 1>a lot about pandemic work, coming back, the adjustment, and

0:47:42.920 --> 0:47:45.280
<v Speaker 1>we're just talking about that there is to some extent

0:47:45.320 --> 0:47:48.080
<v Speaker 1>almost an assumption of those fourteen fifteen sixteen, how are

0:47:48.200 --> 0:47:49.880
<v Speaker 1>days that we're doing during the pandemic and we had

0:47:50.000 --> 0:47:53.120
<v Speaker 1>nothing else to do, happy to work long days, um,

0:47:53.200 --> 0:47:55.640
<v Speaker 1>that there's an assumption that we're going to continue and

0:47:55.760 --> 0:47:58.359
<v Speaker 1>then as a result, like we don't all have any

0:47:58.440 --> 0:48:02.279
<v Speaker 1>kind of quiet time to innovate, think, you know, and

0:48:02.320 --> 0:48:05.120
<v Speaker 1>almost want to carve out time in our calendar. But

0:48:05.239 --> 0:48:08.600
<v Speaker 1>it's hard for organizations to understand the importance of that,

0:48:09.000 --> 0:48:12.160
<v Speaker 1>what you're thinking about that, and how leaders can maybe

0:48:12.560 --> 0:48:17.440
<v Speaker 1>encourage that, or do you encourage that in leadership. I

0:48:18.080 --> 0:48:20.640
<v Speaker 1>think that if you look at top performers, some of

0:48:20.760 --> 0:48:23.200
<v Speaker 1>the best practices that they deploy in their own work

0:48:23.480 --> 0:48:26.919
<v Speaker 1>one is they set good boundaries. They know that being

0:48:27.160 --> 0:48:30.080
<v Speaker 1>successful at work means you're also a successful human being

0:48:30.200 --> 0:48:33.000
<v Speaker 1>in your life outside of work. And some of those

0:48:33.080 --> 0:48:37.520
<v Speaker 1>boundary setting norms have really frayed over the last few years,

0:48:37.560 --> 0:48:39.600
<v Speaker 1>and so I think there's a there's a big focus

0:48:39.680 --> 0:48:43.080
<v Speaker 1>at lots of organizations and definitely within my own team,

0:48:43.160 --> 0:48:45.840
<v Speaker 1>around what do you healthy boundaries look like in an

0:48:45.960 --> 0:48:50.160
<v Speaker 1>environment where the physical location of home and work are

0:48:50.160 --> 0:48:51.920
<v Speaker 1>a little bit more fluid. I think that's a very

0:48:51.960 --> 0:48:55.520
<v Speaker 1>active discussion. I think the second thing is that there's

0:48:55.520 --> 0:48:59.400
<v Speaker 1>no question that highest performers take time to think and

0:48:59.560 --> 0:49:03.040
<v Speaker 1>process us an ID eight. Sometimes they do that by themselves,

0:49:03.120 --> 0:49:05.919
<v Speaker 1>sometimes they do that with others, and I think many

0:49:06.000 --> 0:49:07.960
<v Speaker 1>people are trying to figure out how to carve that

0:49:08.040 --> 0:49:10.480
<v Speaker 1>out for themselves, whether it be blocks of time or

0:49:11.040 --> 0:49:13.759
<v Speaker 1>or gatherings with colleagues. But I think you've hit on

0:49:13.800 --> 0:49:15.160
<v Speaker 1>a key thing, which is some of some of the

0:49:15.239 --> 0:49:18.600
<v Speaker 1>best practices that the most talented people deploy in a

0:49:18.680 --> 0:49:22.640
<v Speaker 1>regular basis. Uh, we've sort of lost our habits about

0:49:22.880 --> 0:49:24.839
<v Speaker 1>by virtue of the way the pandemic forced us to work.

0:49:24.960 --> 0:49:27.319
<v Speaker 1>But do you think organizations respect that? So, like if

0:49:27.360 --> 0:49:31.439
<v Speaker 1>you in your calendar or most workers marked out and said,

0:49:31.520 --> 0:49:33.879
<v Speaker 1>this is my think time, this is my quiet time,

0:49:34.000 --> 0:49:38.280
<v Speaker 1>do you think you know a manager or somebody might say, Okay,

0:49:38.320 --> 0:49:39.560
<v Speaker 1>that's good, but right now I need to have a

0:49:39.640 --> 0:49:41.760
<v Speaker 1>meeting with you. So maybe you can do quiet time tomorrow.

0:49:41.920 --> 0:49:46.920
<v Speaker 1>Like what what you're thinking about that? Like realistically? Yeah, Um,

0:49:47.239 --> 0:49:50.200
<v Speaker 1>I think what I see in practice is that, uh,

0:49:50.480 --> 0:49:52.920
<v Speaker 1>people set aside time and then some portion of it

0:49:53.239 --> 0:49:57.719
<v Speaker 1>gets taken back. And I think that's what's worked in

0:49:57.800 --> 0:49:59.759
<v Speaker 1>my career and what many other people do. Like maybe

0:49:59.840 --> 0:50:01.600
<v Speaker 1>you know, I set aside ninety minutes a day to

0:50:01.640 --> 0:50:03.200
<v Speaker 1>try to do things I know I need to get done,

0:50:03.239 --> 0:50:06.280
<v Speaker 1>and I sort of expect that, you know, thirty minutes

0:50:06.280 --> 0:50:07.880
<v Speaker 1>out of that is going to sort of go to

0:50:07.960 --> 0:50:11.360
<v Speaker 1>something that's urgent or required. Um, And I think that

0:50:11.480 --> 0:50:14.560
<v Speaker 1>that's that's sort of finding the balance between what you

0:50:14.880 --> 0:50:17.759
<v Speaker 1>wish were optimal and what the pragmatic realities of a

0:50:17.800 --> 0:50:20.120
<v Speaker 1>day to day work experience are. But the best managers

0:50:20.239 --> 0:50:25.000
<v Speaker 1>I know encourage their teams to set healthy boundaries and

0:50:25.120 --> 0:50:27.719
<v Speaker 1>to honor them, um. And then also to make sure

0:50:27.719 --> 0:50:30.719
<v Speaker 1>that person has time to to do the thing they

0:50:30.760 --> 0:50:34.160
<v Speaker 1>need to be excellent. I think this feeds into the

0:50:34.280 --> 0:50:37.880
<v Speaker 1>topic that you've You've suggested we dig into, Dan, and

0:50:37.960 --> 0:50:41.160
<v Speaker 1>that is the importance of reactive leadership versus a depth

0:50:41.200 --> 0:50:44.799
<v Speaker 1>of leadership. Can you talk us through that? Yeah, Well,

0:50:44.840 --> 0:50:47.720
<v Speaker 1>when when things are uncertain, when the world feels chaotic,

0:50:48.120 --> 0:50:50.399
<v Speaker 1>and it is absolutely the case the last several years

0:50:50.440 --> 0:50:52.440
<v Speaker 1>have felt both of those things, and I think this

0:50:52.560 --> 0:50:55.640
<v Speaker 1>time is no different. Um. That the key from a

0:50:55.719 --> 0:50:58.840
<v Speaker 1>leadership perspective is to take in all of the information

0:50:58.920 --> 0:51:01.600
<v Speaker 1>that's thrown your way, but to not feel the need

0:51:01.680 --> 0:51:05.640
<v Speaker 1>to react to every given headline, and whether the headlines

0:51:05.760 --> 0:51:09.480
<v Speaker 1>are about changes in inflation, or how companies are hiring

0:51:09.640 --> 0:51:13.279
<v Speaker 1>or laying off folks, or the war in Ukraine, um,

0:51:13.560 --> 0:51:17.920
<v Speaker 1>all of these things, UH reflect a very uncertain and

0:51:18.040 --> 0:51:20.799
<v Speaker 1>changing world. And what the best leaders do in these

0:51:20.920 --> 0:51:23.480
<v Speaker 1>moments is they don't feel the need to respond or

0:51:23.560 --> 0:51:26.400
<v Speaker 1>react any given moment, but they process that information then

0:51:26.400 --> 0:51:29.320
<v Speaker 1>they're very decisive about the moves that they're going to

0:51:29.400 --> 0:51:32.040
<v Speaker 1>make to set their team up for success. And I

0:51:32.120 --> 0:51:37.320
<v Speaker 1>think what employees value is leadership that is able to

0:51:37.600 --> 0:51:39.680
<v Speaker 1>sift through all of the noise that's going on in

0:51:39.760 --> 0:51:42.560
<v Speaker 1>the world and to give clear guidance and over communicate

0:51:42.600 --> 0:51:44.640
<v Speaker 1>with folks around what the strategy is going to be

0:51:44.719 --> 0:51:48.200
<v Speaker 1>going forward. Um and I see that in the best

0:51:48.280 --> 0:51:50.560
<v Speaker 1>teams around the world and the customers that I work with,

0:51:50.640 --> 0:51:52.040
<v Speaker 1>and I see that in the best teams at Lincoln.

0:51:53.000 --> 0:51:56.360
<v Speaker 1>So how do you think a great leader at a

0:51:56.480 --> 0:52:01.239
<v Speaker 1>solid company can become adaptive in an environment where the

0:52:01.480 --> 0:52:05.080
<v Speaker 1>things are so chaotic and it does feel like things

0:52:05.160 --> 0:52:08.360
<v Speaker 1>and things have just become enormously more chaotic over the

0:52:08.480 --> 0:52:10.680
<v Speaker 1>last few years than they were in the past. What

0:52:10.800 --> 0:52:14.880
<v Speaker 1>are the techniques to developing an adaptive leadership style that

0:52:14.960 --> 0:52:17.239
<v Speaker 1>you've researched, especially when you have annoying news people like

0:52:17.320 --> 0:52:20.440
<v Speaker 1>ourselves saying here's the latest headline and we're obsessed with

0:52:20.560 --> 0:52:24.800
<v Speaker 1>it and inflation. Well, I think there's three steps. You know.

0:52:25.040 --> 0:52:27.600
<v Speaker 1>The first step is uh, you need to take in

0:52:27.680 --> 0:52:30.399
<v Speaker 1>as much information as you can. There is so much

0:52:30.760 --> 0:52:34.200
<v Speaker 1>great intelligence in the world that's available to leaders right

0:52:34.239 --> 0:52:37.680
<v Speaker 1>now about what's going on, and the key is to

0:52:37.760 --> 0:52:40.239
<v Speaker 1>make sure that you're not closing yourself off from all

0:52:40.280 --> 0:52:43.799
<v Speaker 1>of that amazing insight and intelligence. But then the key

0:52:43.880 --> 0:52:45.879
<v Speaker 1>step is to not feel the need or to feel

0:52:45.960 --> 0:52:48.919
<v Speaker 1>compelled to respond every time some piece of information comes

0:52:48.960 --> 0:52:51.080
<v Speaker 1>your way. And so the second step is the synthesis.

0:52:51.719 --> 0:52:54.120
<v Speaker 1>Every day, how do you take this information that's coming

0:52:54.160 --> 0:52:57.480
<v Speaker 1>your way and using it to form a worldview of

0:52:57.600 --> 0:52:59.920
<v Speaker 1>what you think your company or your team meets to

0:53:00.160 --> 0:53:04.200
<v Speaker 1>doing right now given what's changing um And often times

0:53:04.680 --> 0:53:07.480
<v Speaker 1>there will be a big lag between receiving lots of

0:53:07.560 --> 0:53:12.000
<v Speaker 1>new information and ultimately deciding what your organization is going

0:53:12.080 --> 0:53:15.799
<v Speaker 1>to do differently. And then finally it's communication. Once you've

0:53:16.160 --> 0:53:19.520
<v Speaker 1>synthesized this information and boiled it down to a few things,

0:53:19.640 --> 0:53:21.840
<v Speaker 1>not many things, but a few things that you're going

0:53:21.880 --> 0:53:24.880
<v Speaker 1>to react to and act upon, how do you make

0:53:24.920 --> 0:53:27.719
<v Speaker 1>sure your team understands the thinking behind those moves so

0:53:27.840 --> 0:53:32.400
<v Speaker 1>they can put the strategy into practice. So often times

0:53:32.520 --> 0:53:35.480
<v Speaker 1>when there's new information coming our way in and in

0:53:35.480 --> 0:53:38.600
<v Speaker 1>a certain world, we feel compelled to do something about it,

0:53:38.880 --> 0:53:41.920
<v Speaker 1>But sometimes the right move is to sit back, to

0:53:42.080 --> 0:53:44.600
<v Speaker 1>let things settle, and then to be bold in your choices.

0:53:45.280 --> 0:53:46.840
<v Speaker 1>All right, So I've got to finish up. Just got

0:53:46.920 --> 0:53:49.719
<v Speaker 1>a minute left here when we have all these headlines

0:53:49.719 --> 0:53:52.400
<v Speaker 1>speaking of Sorry, I'm going to be reactive for a

0:53:52.440 --> 0:53:54.600
<v Speaker 1>moment or see if I get your reaction. But we're

0:53:54.600 --> 0:53:58.000
<v Speaker 1>talking so much about AI and chat bots and chat GPT.

0:53:58.520 --> 0:54:01.200
<v Speaker 1>How do you think about that and the impact on

0:54:01.400 --> 0:54:05.640
<v Speaker 1>how we work going forward? Just got about seconds. I

0:54:05.719 --> 0:54:10.279
<v Speaker 1>think it's incredibly exciting. I think, like many new platform technologies,

0:54:10.400 --> 0:54:13.759
<v Speaker 1>they have the potentially be incredibly powerful, and also we

0:54:13.840 --> 0:54:17.080
<v Speaker 1>need to be responsible with them. But it is likely

0:54:17.239 --> 0:54:20.439
<v Speaker 1>that any role at any company UM, that AI will

0:54:20.480 --> 0:54:23.640
<v Speaker 1>be a core part of how each individual worker becomes

0:54:23.719 --> 0:54:28.120
<v Speaker 1>more productive UM And whether that's about creating content, whether

0:54:28.239 --> 0:54:32.359
<v Speaker 1>that's about innovation, whether that's about coding or analysis, all

0:54:32.480 --> 0:54:35.160
<v Speaker 1>of us will have AI working alongside of us to

0:54:35.200 --> 0:54:37.759
<v Speaker 1>help them us be better and more productive in our roles.

0:54:37.920 --> 0:54:41.719
<v Speaker 1>So it's not about all of us being replaced necessarily

0:54:42.000 --> 0:54:45.479
<v Speaker 1>just quickly. Well, I think if you look at all

0:54:45.600 --> 0:54:48.480
<v Speaker 1>of the major innovation technology over the years, they have

0:54:48.680 --> 0:54:52.959
<v Speaker 1>lent themselves to empowering people to do more and better things.

0:54:53.040 --> 0:54:55.919
<v Speaker 1>And I think AI will be well great to check

0:54:55.960 --> 0:54:58.000
<v Speaker 1>in with you, and thank you so much for all

0:54:58.080 --> 0:55:01.320
<v Speaker 1>of that time, Dan, Thank you, Thank you. Dan Shapiro,

0:55:01.600 --> 0:55:04.279
<v Speaker 1>his chief operating officer over at LinkedIn. Joining us from

0:55:04.320 --> 0:55:08.680
<v Speaker 1>Mountain View, California. You're listening to the Bloomberg Business Week Podcast.

0:55:08.960 --> 0:55:11.440
<v Speaker 1>Catch us live week days from two to five pm

0:55:11.520 --> 0:55:15.319
<v Speaker 1>Easter on Bloomberg Radio, the Bloomberg Business App, and you too.

0:55:15.640 --> 0:55:18.720
<v Speaker 1>You can also listen live to our flagship New York station,

0:55:19.160 --> 0:55:25.560
<v Speaker 1>Just Say Alexa play Bloomberg e Love and Dirty. Teach

0:55:27.080 --> 0:55:37.080
<v Speaker 1>did children well the fathers did slowly go by and

0:55:37.520 --> 0:55:43.680
<v Speaker 1>be all right, teach your children? Well right, yes, we hope.

0:55:44.400 --> 0:55:46.960
<v Speaker 1>I know my child who's not really a child anymore.

0:55:47.600 --> 0:55:50.240
<v Speaker 1>The music that they pick is just so on point.

0:55:50.320 --> 0:55:51.920
<v Speaker 1>So thank you to the team who does that. Yes

0:55:51.960 --> 0:55:56.520
<v Speaker 1>and why Yeah Crosby Stills love it. Um. When it

0:55:56.560 --> 0:55:58.480
<v Speaker 1>comes to teaching kids, sometimes they need an assist. And

0:55:58.560 --> 0:56:00.759
<v Speaker 1>I have to say my daughter over the years has

0:56:00.760 --> 0:56:07.040
<v Speaker 1>definitely tapped into Khan Academy. Yeah exactly. I mean it

0:56:07.120 --> 0:56:09.719
<v Speaker 1>got me through business school. I'm really excited to have

0:56:09.920 --> 0:56:12.400
<v Speaker 1>with a saal Con founder and CEO of KHN Academy.

0:56:12.640 --> 0:56:16.439
<v Speaker 1>He joins us on zoom for you from Mountain View, California. Uh, Saul,

0:56:17.120 --> 0:56:19.520
<v Speaker 1>I gotta tell you, I promised myself when I finally

0:56:19.560 --> 0:56:21.759
<v Speaker 1>did get to interview you this many years after business school,

0:56:21.760 --> 0:56:23.879
<v Speaker 1>I would thank you for the videos that you did

0:56:23.920 --> 0:56:27.320
<v Speaker 1>about discounted cash flows and interest rates and all the

0:56:27.400 --> 0:56:29.840
<v Speaker 1>things that I worked on in my personal finance and

0:56:29.840 --> 0:56:33.520
<v Speaker 1>accounting classes, because it was your voice that helped guide

0:56:33.520 --> 0:56:36.320
<v Speaker 1>me through business school. Uh. And it's interesting because this

0:56:36.440 --> 0:56:40.360
<v Speaker 1>Carol wasn't available when I was an undergraduate. We weren't

0:56:40.360 --> 0:56:42.920
<v Speaker 1>even talking about YouTube back then. Very please to go

0:56:43.040 --> 0:56:45.000
<v Speaker 1>back with a sal Cohn founder and CEO of KHN

0:56:45.080 --> 0:56:47.040
<v Speaker 1>Academy joining us from Mountain View. Saul, how are you.

0:56:48.400 --> 0:56:50.239
<v Speaker 1>I'm doing well. Thanks for having me, you know, take

0:56:50.280 --> 0:56:52.480
<v Speaker 1>us back to two thousand eight, because it's funny and

0:56:52.520 --> 0:56:54.880
<v Speaker 1>thinking about this interview that we're doing right now. You know,

0:56:54.960 --> 0:56:56.560
<v Speaker 1>we think about online education in the way that it

0:56:57.000 --> 0:56:58.840
<v Speaker 1>really gained so much attention in the early part of

0:56:59.760 --> 0:57:02.400
<v Speaker 1>during lockdowns and when kids were sent home. You've been

0:57:02.440 --> 0:57:04.800
<v Speaker 1>working on con academy for a dozen years by the

0:57:04.840 --> 0:57:07.239
<v Speaker 1>time the pandemic hit. Take us back there and where

0:57:07.280 --> 0:57:11.320
<v Speaker 1>we are now in some ways earlier. It all started

0:57:11.400 --> 0:57:13.400
<v Speaker 1>back actually in two thousand four, when I was tutoring

0:57:13.480 --> 0:57:15.360
<v Speaker 1>some cousins remotely, when I was in Boston, they were

0:57:15.400 --> 0:57:17.959
<v Speaker 1>in New Orleans. I started writing software for them. Friends

0:57:17.960 --> 0:57:20.120
<v Speaker 1>suggest that I make videos for them on YouTube. It

0:57:20.200 --> 0:57:21.520
<v Speaker 1>took on a life of our own, and it was

0:57:21.560 --> 0:57:23.200
<v Speaker 1>in two thousand eight that I actually set up this

0:57:23.400 --> 0:57:26.400
<v Speaker 1>this family project as a not for profit mission free

0:57:26.400 --> 0:57:29.680
<v Speaker 1>world class education for anyone anywhere and called it KHN Academy.

0:57:30.080 --> 0:57:33.080
<v Speaker 1>And if we compare that time to where we are now,

0:57:33.400 --> 0:57:36.000
<v Speaker 1>I think now people actually take it for granted that,

0:57:36.200 --> 0:57:38.160
<v Speaker 1>of course, on demand video is going to be really

0:57:38.240 --> 0:57:41.800
<v Speaker 1>useful for for learning. Of Course, students should be able

0:57:41.800 --> 0:57:45.040
<v Speaker 1>to have self paced practice. Um. Of course, it's not

0:57:45.200 --> 0:57:47.080
<v Speaker 1>the best use of class time for a teacher to

0:57:47.200 --> 0:57:49.840
<v Speaker 1>just lecture at students and students to sit passively and listen.

0:57:50.160 --> 0:57:53.680
<v Speaker 1>Because students have access to on demand video, perhaps it

0:57:53.800 --> 0:57:56.480
<v Speaker 1>might be a good idea to allow students to learn

0:57:56.520 --> 0:57:57.840
<v Speaker 1>at their own time and pace. But if you go

0:57:57.960 --> 0:58:01.280
<v Speaker 1>back to two thousand and eight, none of that was mainstream.

0:58:01.400 --> 0:58:04.800
<v Speaker 1>People thought things like YouTube and maybe the Internet generally

0:58:05.320 --> 0:58:07.360
<v Speaker 1>for the most part, was as a toy or or

0:58:07.400 --> 0:58:10.400
<v Speaker 1>maybe a distraction, but now we realize that it's it's

0:58:10.440 --> 0:58:12.560
<v Speaker 1>central to the education. I think the other really good

0:58:12.600 --> 0:58:15.640
<v Speaker 1>thing that happened is obviously when when we set out

0:58:15.680 --> 0:58:17.960
<v Speaker 1>as a not for profit in the name of trying

0:58:18.000 --> 0:58:20.240
<v Speaker 1>to level the playing field, it's it's predicated on the

0:58:20.360 --> 0:58:23.680
<v Speaker 1>idea that everyone eventually will have access to the Internet.

0:58:23.880 --> 0:58:26.400
<v Speaker 1>In two thousand and eight, we weren't anywhere close to that.

0:58:26.640 --> 0:58:30.440
<v Speaker 1>Were still aren't at perfection, but in school environments we've

0:58:30.480 --> 0:58:33.520
<v Speaker 1>gone a long way in the US globally that there's

0:58:33.560 --> 0:58:35.720
<v Speaker 1>still a lot more work to be done, and I

0:58:35.800 --> 0:58:38.320
<v Speaker 1>think we the pandemic. One of the silver linings is

0:58:38.400 --> 0:58:41.880
<v Speaker 1>it it helped accelerate a lot of internet and tech adoption,

0:58:41.920 --> 0:58:43.960
<v Speaker 1>not just in schools, but at home as well. How

0:58:44.000 --> 0:58:45.920
<v Speaker 1>do you think it's you know, the impact it's had

0:58:46.040 --> 0:58:51.360
<v Speaker 1>on how kids learn um or helped compliment supplement you know,

0:58:51.680 --> 0:58:57.680
<v Speaker 1>classroom time. Yeah, well, I think you know, everything is

0:58:57.760 --> 0:58:59.520
<v Speaker 1>is a double edged sword. We all know about all

0:58:59.560 --> 0:59:02.120
<v Speaker 1>of the things on the Internet that maybe aren't the

0:59:02.160 --> 0:59:04.200
<v Speaker 1>most productive things for kids, but in terms of when

0:59:04.240 --> 0:59:07.400
<v Speaker 1>they are productive on it, whether you're talking about kids

0:59:07.440 --> 0:59:09.080
<v Speaker 1>in elementary school, or middle school, all the way to

0:59:09.160 --> 0:59:13.040
<v Speaker 1>med students. It's now become pretty mainstream that students are

0:59:13.040 --> 0:59:15.160
<v Speaker 1>going to vote with their feet. If there's someone who's

0:59:15.160 --> 0:59:17.160
<v Speaker 1>just going to lecture at them, and the students have

0:59:17.200 --> 0:59:19.720
<v Speaker 1>an option, they won't show up anymore. If you if

0:59:19.760 --> 0:59:21.960
<v Speaker 1>you visit most med schools, the actual electoral halls are

0:59:22.000 --> 0:59:25.520
<v Speaker 1>pretty empty. The med students, who are very diligent students

0:59:25.720 --> 0:59:29.480
<v Speaker 1>are usually gonna watch the lecture later on at double speed. UM. So,

0:59:29.560 --> 0:59:31.680
<v Speaker 1>I think there's an expectation of some people say, oh,

0:59:31.760 --> 0:59:34.200
<v Speaker 1>kids these days have less of an attention span. I

0:59:34.240 --> 0:59:36.400
<v Speaker 1>don't think they have less of an attention span necessarily.

0:59:36.920 --> 0:59:38.480
<v Speaker 1>It's more that they have more options and they have

0:59:38.600 --> 0:59:41.080
<v Speaker 1>higher expectations. When we were kids, we're like, Okay, we

0:59:41.120 --> 0:59:42.880
<v Speaker 1>gotta sit in the classroom and just pretend to pay

0:59:42.920 --> 0:59:44.800
<v Speaker 1>attention and look at the clock, and so we're gonna

0:59:44.840 --> 0:59:48.200
<v Speaker 1>play that game game. But but now now you don't

0:59:48.240 --> 0:59:49.880
<v Speaker 1>have to do that. They have they have other things.

0:59:50.360 --> 0:59:53.120
<v Speaker 1>I think they know that if they don't understand something

0:59:53.480 --> 0:59:56.360
<v Speaker 1>in class. Back when we were kids, you'd have to

0:59:56.440 --> 0:59:59.360
<v Speaker 1>either somehow struggle with a textbook, or if you're lucky

0:59:59.480 --> 1:00:01.960
<v Speaker 1>enough to have have a family, member help you or

1:00:02.280 --> 1:00:03.920
<v Speaker 1>or had enough resources to get a tutor, And now

1:00:03.960 --> 1:00:06.280
<v Speaker 1>we're talking about very few people. Now people know, Yeah,

1:00:06.280 --> 1:00:07.959
<v Speaker 1>I can go to kN Academy, I can ask the questions,

1:00:08.000 --> 1:00:10.200
<v Speaker 1>I can find other I can do practice problems. I

1:00:10.280 --> 1:00:12.360
<v Speaker 1>can make sure that I understand what I'm doing. I

1:00:12.440 --> 1:00:14.960
<v Speaker 1>can go to YouTube and find other resources. So I

1:00:15.040 --> 1:00:17.600
<v Speaker 1>think kids are actually able to advocate for themselves a

1:00:17.640 --> 1:00:19.360
<v Speaker 1>lot better because they don't. They're not willing to just

1:00:19.440 --> 1:00:22.360
<v Speaker 1>put up with only one modality. Hey, given all the

1:00:22.400 --> 1:00:24.160
<v Speaker 1>work that you've done over the past gosh, I mean

1:00:24.200 --> 1:00:26.400
<v Speaker 1>it's close to twenty years at this point. So I'm

1:00:26.520 --> 1:00:29.480
<v Speaker 1>I'm wondering, you know, how, how how it changes the

1:00:29.480 --> 1:00:33.880
<v Speaker 1>way you think about education with regard to your own kids. Yeah,

1:00:34.160 --> 1:00:37.520
<v Speaker 1>you know, even back in two thousand, kind Academy really

1:00:37.560 --> 1:00:39.800
<v Speaker 1>got on on folks radar. In two thousand nine, two

1:00:39.840 --> 1:00:42.439
<v Speaker 1>thousand ten, two thousand eleven, I gave a Ted talk

1:00:42.520 --> 1:00:46.520
<v Speaker 1>where you know, let's let's reimagine education, make things more personalized.

1:00:46.560 --> 1:00:49.400
<v Speaker 1>We shouldn't have kids moving forward lockstaff if you don't,

1:00:49.440 --> 1:00:51.120
<v Speaker 1>if you only got a seventy percent on the test,

1:00:51.360 --> 1:00:53.920
<v Speaker 1>you should always have that opportunity incentive to make that

1:00:54.000 --> 1:00:56.560
<v Speaker 1>an eight percent, make that a nine percent. And I

1:00:56.640 --> 1:00:58.520
<v Speaker 1>wrote a book, One World school House, about how how

1:00:58.720 --> 1:01:00.800
<v Speaker 1>education could change, how you can even create a school

1:01:00.840 --> 1:01:04.120
<v Speaker 1>of the future. And then in my oldest I now

1:01:04.160 --> 1:01:07.360
<v Speaker 1>have three kids, my oldest was just entering kindergarten age

1:01:07.760 --> 1:01:09.760
<v Speaker 1>and I said, hey, I don't want to be a hypocrite. Um,

1:01:09.840 --> 1:01:11.959
<v Speaker 1>I don't want to preach all of these things about mastery, learning,

1:01:12.000 --> 1:01:15.160
<v Speaker 1>personalization and then not have my own kids do that.

1:01:15.240 --> 1:01:17.800
<v Speaker 1>And not only that, but I actually did and continue

1:01:17.800 --> 1:01:20.400
<v Speaker 1>to believe that that is the most powerful way to learn.

1:01:20.440 --> 1:01:24.200
<v Speaker 1>So we started a school, con Lab School, uh where

1:01:24.320 --> 1:01:26.240
<v Speaker 1>now all of my kids go. It's out here in

1:01:26.280 --> 1:01:29.320
<v Speaker 1>northern California. And what we're seeing is when you have

1:01:29.440 --> 1:01:32.560
<v Speaker 1>a school that's really students centered, where you know we have.

1:01:32.680 --> 1:01:34.600
<v Speaker 1>The one edict we have is there's no lectures at

1:01:34.640 --> 1:01:37.600
<v Speaker 1>the school. Everything has to be active. Students can learn

1:01:37.680 --> 1:01:39.200
<v Speaker 1>their own time and pace. But once again, they're not

1:01:39.280 --> 1:01:41.520
<v Speaker 1>in isolation. They get support from their peers, they get

1:01:41.560 --> 1:01:44.680
<v Speaker 1>support from the faculty. When human beings are in the

1:01:44.800 --> 1:01:48.640
<v Speaker 1>room together, they either have socratic dialogue, or they're doing projects,

1:01:48.720 --> 1:01:51.120
<v Speaker 1>or they're collaborating, or they're tutoring each other. We have

1:01:51.160 --> 1:01:53.880
<v Speaker 1>a motto, everyone's a student, everyone's a teacher, and we're

1:01:53.920 --> 1:01:57.400
<v Speaker 1>seeing we we've had our first few graduating classes in

1:01:57.480 --> 1:01:59.680
<v Speaker 1>the last couple of years, and I don't want to

1:01:59.720 --> 1:02:05.000
<v Speaker 1>jinx it, but the kids are doing frankly better than

1:02:05.040 --> 1:02:08.400
<v Speaker 1>you would expect from a traditional environment. We just looked

1:02:08.400 --> 1:02:10.920
<v Speaker 1>at our lower school, which is, you know, grades K

1:02:11.200 --> 1:02:14.480
<v Speaker 1>through six, K through five, and our kids are seeing

1:02:14.520 --> 1:02:17.080
<v Speaker 1>about two grade levels of math a year. We just

1:02:17.240 --> 1:02:20.760
<v Speaker 1>launched a con World School with Arizona State University, which

1:02:20.800 --> 1:02:23.160
<v Speaker 1>is an online high school, and they they're using similar

1:02:23.240 --> 1:02:26.080
<v Speaker 1>modalities but in an online framework. And they just saw

1:02:26.120 --> 1:02:28.840
<v Speaker 1>on the first semester five times the expected growth in math,

1:02:28.920 --> 1:02:31.520
<v Speaker 1>and I think it was three times expected growth in reading.

1:02:31.760 --> 1:02:33.400
<v Speaker 1>And but once again, it's just because the kids are

1:02:33.400 --> 1:02:35.280
<v Speaker 1>able to learn at their own, their own pace, and

1:02:36.120 --> 1:02:38.360
<v Speaker 1>because they're not learning to be passive and they're learning

1:02:38.400 --> 1:02:41.160
<v Speaker 1>to have more agency over their learning. They're more entrepreneurial,

1:02:41.320 --> 1:02:43.080
<v Speaker 1>they have more of a growth mindset, they're willing to

1:02:43.120 --> 1:02:45.640
<v Speaker 1>take risks. We think they're feeling a lot less of

1:02:45.680 --> 1:02:47.400
<v Speaker 1>the stress and anxiety that we know is a bit

1:02:47.440 --> 1:02:49.960
<v Speaker 1>of an epidemic right now. Amost young people so there's

1:02:49.960 --> 1:02:51.760
<v Speaker 1>not a huge history with con Lab School because you

1:02:51.760 --> 1:02:54.200
<v Speaker 1>only started it a few years ago. But where are

1:02:54.240 --> 1:02:56.400
<v Speaker 1>you in terms of college placement and how you've been

1:02:56.440 --> 1:03:01.800
<v Speaker 1>able to, uh see how these kids have done longitudinally. Yeah,

1:03:01.840 --> 1:03:03.480
<v Speaker 1>and as I said, the school has been around for

1:03:03.520 --> 1:03:06.880
<v Speaker 1>about eight years. We had this current garagings graduating class

1:03:06.960 --> 1:03:10.120
<v Speaker 1>is going to be our our third But you know,

1:03:10.160 --> 1:03:12.080
<v Speaker 1>this is a school that did not have traditional letter grades.

1:03:12.080 --> 1:03:15.040
<v Speaker 1>We measure, but at any point students can improve their grade.

1:03:15.640 --> 1:03:17.560
<v Speaker 1>But out of you know, I remember our first graduating

1:03:17.600 --> 1:03:20.640
<v Speaker 1>class of nine students they went to and I'm very

1:03:20.680 --> 1:03:23.360
<v Speaker 1>sensitive because so many folks index on where kids go

1:03:23.440 --> 1:03:26.439
<v Speaker 1>to school and all of that, but our students ended

1:03:26.520 --> 1:03:29.440
<v Speaker 1>up at some of the top places in the world. Um,

1:03:30.080 --> 1:03:32.240
<v Speaker 1>you know, I don't want to get to brand conscious

1:03:32.240 --> 1:03:33.720
<v Speaker 1>about where they went, but they went to let me

1:03:33.760 --> 1:03:36.320
<v Speaker 1>just say, very very good, very good places. And they're

1:03:36.560 --> 1:03:38.760
<v Speaker 1>even more importantly, we we stay in touch with these

1:03:38.760 --> 1:03:41.360
<v Speaker 1>students and they're really thriving in these environments because frankly,

1:03:41.760 --> 1:03:44.840
<v Speaker 1>the college environment is all about self based learning. The

1:03:44.920 --> 1:03:47.920
<v Speaker 1>college doesn't pretend that way, but really that's what it's

1:03:47.920 --> 1:03:50.320
<v Speaker 1>all about. No, you're absolutely right, you get what you

1:03:50.440 --> 1:03:53.480
<v Speaker 1>put into it. Essentially when you go to college. Hey,

1:03:53.640 --> 1:03:57.240
<v Speaker 1>so sal we're looking at your school, um collapse school.

1:03:57.240 --> 1:03:59.720
<v Speaker 1>Can you scale that? You want to scale it? Even

1:03:59.800 --> 1:04:02.000
<v Speaker 1>for there it's in Mountain View, right, but can you

1:04:02.080 --> 1:04:05.080
<v Speaker 1>go further with it or do you want to? Yeah,

1:04:05.120 --> 1:04:07.080
<v Speaker 1>the whole idea and I always tell the team there

1:04:07.120 --> 1:04:10.480
<v Speaker 1>that is not just to start another school in Silicon

1:04:10.640 --> 1:04:13.080
<v Speaker 1>Valley for my kids and other folks in this area.

1:04:13.400 --> 1:04:16.000
<v Speaker 1>Obviously you have to serve the kids in the community well,

1:04:16.440 --> 1:04:18.240
<v Speaker 1>but it's really to show that there's another way of

1:04:18.320 --> 1:04:20.800
<v Speaker 1>doing things and then essentially sharing with the world how

1:04:20.840 --> 1:04:23.120
<v Speaker 1>to do that so it can it can scale. So

1:04:23.280 --> 1:04:25.680
<v Speaker 1>one of the first ways of scaling is by starting

1:04:25.720 --> 1:04:28.520
<v Speaker 1>con World School with Arizona, a s U that's actually

1:04:28.560 --> 1:04:31.160
<v Speaker 1>free to any student in Arizona because it has a

1:04:31.200 --> 1:04:34.240
<v Speaker 1>state charter there. And then it's we we hope reasonable

1:04:34.360 --> 1:04:37.440
<v Speaker 1>cost outside and we're working on more states, so you

1:04:37.520 --> 1:04:39.720
<v Speaker 1>really can get a free world class education if you're

1:04:39.760 --> 1:04:41.960
<v Speaker 1>if you're in the states that that supports something like this.

1:04:42.080 --> 1:04:45.680
<v Speaker 1>So that's one skilling mechanism, and we are seeing folks

1:04:45.760 --> 1:04:49.440
<v Speaker 1>form essentially hybrid pods where they're getting the benefits of

1:04:49.480 --> 1:04:52.000
<v Speaker 1>in person sports, etcetera. But then they're able to use

1:04:52.160 --> 1:04:56.640
<v Speaker 1>the World School, uh for their Socratic dialogue and their

1:04:56.640 --> 1:04:59.560
<v Speaker 1>seminars and you know, being able to meet their advisors

1:04:59.600 --> 1:05:02.320
<v Speaker 1>and things like that. We also are starting more con

1:05:02.520 --> 1:05:05.560
<v Speaker 1>lab schools. It's likely we might start one in the Midwest. Um.

1:05:05.680 --> 1:05:08.080
<v Speaker 1>And so I think we are at the moment. I

1:05:08.120 --> 1:05:10.120
<v Speaker 1>won't ever say we have nailed it. It's a lab school.

1:05:10.160 --> 1:05:12.760
<v Speaker 1>We're constantly iterating, but I think we're starting to scale it.

1:05:12.800 --> 1:05:14.520
<v Speaker 1>And that could take multiple forms. It could take an

1:05:14.520 --> 1:05:18.080
<v Speaker 1>online school, it could it could be a share the

1:05:18.080 --> 1:05:20.560
<v Speaker 1>curriculum with other folks. What what, however, we can get

1:05:20.560 --> 1:05:23.120
<v Speaker 1>it out there, Salgion, The numbers work. It's it's really

1:05:23.200 --> 1:05:26.920
<v Speaker 1>tough to be self sufficient as a school. It's a

1:05:26.960 --> 1:05:29.680
<v Speaker 1>it's a private school, so there's you know, tuition. Um.

1:05:30.080 --> 1:05:31.960
<v Speaker 1>But I mean I went to a school that my

1:05:32.040 --> 1:05:34.680
<v Speaker 1>friend's mom started for second grade and the school was

1:05:34.720 --> 1:05:36.640
<v Speaker 1>only around for about ten years. They just couldn't keep

1:05:36.640 --> 1:05:39.200
<v Speaker 1>it going. It was tough. Um. Are the numbers working.

1:05:40.840 --> 1:05:43.920
<v Speaker 1>The numbers are working. And what I've always given the

1:05:44.000 --> 1:05:46.040
<v Speaker 1>charger to the school that we should be able to

1:05:46.160 --> 1:05:48.600
<v Speaker 1>be in terms of cost per student per year, cost

1:05:48.680 --> 1:05:52.640
<v Speaker 1>competitive with UM some public school districts, and they're huge variation.

1:05:52.720 --> 1:05:54.920
<v Speaker 1>If you look at at the high end, a New

1:05:55.000 --> 1:05:57.800
<v Speaker 1>York City public school spends about forty dollars per student

1:05:57.880 --> 1:06:01.680
<v Speaker 1>per year. A lot of you know, came Bridge, Boston, Massachusetts,

1:06:01.760 --> 1:06:05.640
<v Speaker 1>they are mid twenties, even approaching thirty thousand dollars per year.

1:06:05.640 --> 1:06:07.280
<v Speaker 1>But then you have other places, including high cost of

1:06:07.320 --> 1:06:10.200
<v Speaker 1>living places like California, where depending on the district, you're

1:06:10.240 --> 1:06:12.280
<v Speaker 1>really looking at more of like ten to fifteen thousand

1:06:12.640 --> 1:06:16.080
<v Speaker 1>dollars per year. Right now, if if you were to

1:06:16.320 --> 1:06:18.200
<v Speaker 1>hold all things equal, we actually have to pay a

1:06:18.280 --> 1:06:20.560
<v Speaker 1>lot in real estate expense because we're renting out a

1:06:20.640 --> 1:06:23.960
<v Speaker 1>couple of campuses. But if our real estate expense we're

1:06:24.120 --> 1:06:27.280
<v Speaker 1>similar to what a traditional public school was spending, where

1:06:27.320 --> 1:06:29.880
<v Speaker 1>we we have our cost per student down to about

1:06:30.240 --> 1:06:35.360
<v Speaker 1>twenty dollars per year UM. And and so if you

1:06:35.400 --> 1:06:37.640
<v Speaker 1>include the real estate that it's it's approaching a higher number.

1:06:37.720 --> 1:06:40.440
<v Speaker 1>It's you know, it's probably closer ton or twenty eight thousand.

1:06:40.840 --> 1:06:45.480
<v Speaker 1>But UM, to answer your question, we we intentionally are

1:06:45.680 --> 1:06:50.000
<v Speaker 1>keeping it much more accessible than the surrounding market would support.

1:06:50.000 --> 1:06:52.920
<v Speaker 1>These numbers don't sound like small numbers. To anyone anywhere,

1:06:53.160 --> 1:06:54.919
<v Speaker 1>but especially but if you live in the Bay Area,

1:06:54.960 --> 1:06:56.640
<v Speaker 1>if you live in New York, you'll know that a

1:06:56.720 --> 1:06:59.360
<v Speaker 1>lot of the top independent schools will easily charge you

1:06:59.400 --> 1:07:02.720
<v Speaker 1>fifty or six thousand dollars a year um. And you know,

1:07:02.840 --> 1:07:05.920
<v Speaker 1>we're we're we're pretty focused on showing this model can

1:07:06.000 --> 1:07:09.200
<v Speaker 1>scale and as an as is accessible and also has

1:07:09.280 --> 1:07:12.960
<v Speaker 1>evidence that isn't just another independent school. It's the kids

1:07:13.000 --> 1:07:16.480
<v Speaker 1>are growing faster and happier, you know, in doing this?

1:07:17.320 --> 1:07:19.920
<v Speaker 1>What's been the easy part? What's been the difficult parts

1:07:22.640 --> 1:07:24.920
<v Speaker 1>of doing everything? Including school or Kon academy or the

1:07:24.960 --> 1:07:27.959
<v Speaker 1>whole everything from the get go. Like I think about

1:07:27.960 --> 1:07:30.160
<v Speaker 1>when you started, and I know, I remember, you know,

1:07:30.200 --> 1:07:32.600
<v Speaker 1>we talked about Bill Gates being you know, a supporter

1:07:32.720 --> 1:07:34.600
<v Speaker 1>of it. You have some really high profile people, and

1:07:34.640 --> 1:07:37.640
<v Speaker 1>I'm sure that helped um, you know, doing the Ted talk.

1:07:37.680 --> 1:07:40.080
<v Speaker 1>But I'm just wondering, as you've done this, what's been

1:07:40.120 --> 1:07:44.000
<v Speaker 1>the easy part, what's the difficult part? Well, the easy

1:07:44.040 --> 1:07:46.240
<v Speaker 1>part is this is something that I've always been drawn to,

1:07:46.600 --> 1:07:49.400
<v Speaker 1>even when you know my past, my past careers in

1:07:49.480 --> 1:07:51.640
<v Speaker 1>tech and just been an analyst at a hedge fund,

1:07:52.360 --> 1:07:54.800
<v Speaker 1>which I both careers I enjoyed, but I always was drawn.

1:07:54.880 --> 1:07:56.640
<v Speaker 1>That's why I started tutoring my cousins. That's why I

1:07:56.680 --> 1:07:58.919
<v Speaker 1>started writing software for them that was focused on learning,

1:07:58.920 --> 1:08:00.800
<v Speaker 1>and that's why I started making deals because I enjoyed

1:08:00.920 --> 1:08:03.760
<v Speaker 1>making these these education videos. So that was always the

1:08:03.760 --> 1:08:06.000
<v Speaker 1>easy part, and whenever I want to recharge, even today,

1:08:06.040 --> 1:08:07.400
<v Speaker 1>that's the kind of stuff that I try to really

1:08:07.400 --> 1:08:10.120
<v Speaker 1>work on. Let me make some videos today. The hard part,

1:08:10.160 --> 1:08:12.600
<v Speaker 1>I would say, the early days. The hard part is

1:08:13.520 --> 1:08:17.360
<v Speaker 1>convincing people to take you seriously. Especially you know now

1:08:17.439 --> 1:08:20.240
<v Speaker 1>it's a somewhat mainstream thing to be a YouTube influencer

1:08:20.320 --> 1:08:23.040
<v Speaker 1>or whatever else. Back in two thousand and six, two

1:08:23.040 --> 1:08:25.160
<v Speaker 1>thousand seven, two thousand and eight, it was very um

1:08:25.560 --> 1:08:27.960
<v Speaker 1>let's call it. No one really took you seriously. And

1:08:28.040 --> 1:08:30.479
<v Speaker 1>then once we started to get off the ground and

1:08:30.520 --> 1:08:33.120
<v Speaker 1>people took note. I think when we said no, we

1:08:33.200 --> 1:08:34.599
<v Speaker 1>just don't want to be a YouTube channel, we don't

1:08:34.600 --> 1:08:36.759
<v Speaker 1>want to be another for profit education company. We actually

1:08:36.800 --> 1:08:39.160
<v Speaker 1>want to create an institution for the world that actually

1:08:39.200 --> 1:08:42.599
<v Speaker 1>has a chance of being the safety net education system

1:08:42.640 --> 1:08:45.040
<v Speaker 1>for the world that can reach billions of people. I

1:08:45.120 --> 1:08:47.559
<v Speaker 1>think back then some people might not take that so seriously.

1:08:47.640 --> 1:08:50.680
<v Speaker 1>For a guy operating out of a walk in closet. Um,

1:08:51.520 --> 1:08:53.800
<v Speaker 1>I think you fast forward and yes, you know folks

1:08:53.880 --> 1:08:55.760
<v Speaker 1>like Bill Gates and the Doers, and you know there's

1:08:55.800 --> 1:08:57.920
<v Speaker 1>so many people, um that you know I grew up

1:08:58.000 --> 1:09:01.600
<v Speaker 1>reading about who who have now become some of our supporters.

1:09:01.880 --> 1:09:03.600
<v Speaker 1>But whenever I say those names are mind folks that

1:09:03.720 --> 1:09:06.120
<v Speaker 1>we still need their help, so please foction to kind

1:09:06.120 --> 1:09:10.320
<v Speaker 1>of academy. But UM, I think now what's gotten easier

1:09:10.479 --> 1:09:13.400
<v Speaker 1>is when when I take on a project. Let's say

1:09:14.280 --> 1:09:16.800
<v Speaker 1>we started school we're starting this online high school, or

1:09:17.400 --> 1:09:19.760
<v Speaker 1>we started another not for profit called Schoolhouse dot World

1:09:19.800 --> 1:09:22.160
<v Speaker 1>which gives free tutoring. They way it's able to do

1:09:22.240 --> 1:09:24.760
<v Speaker 1>is to leverage volunteership. These types of things would have

1:09:24.760 --> 1:09:27.360
<v Speaker 1>been very hard when I was just a guy in

1:09:27.400 --> 1:09:29.760
<v Speaker 1>a closet back in two thousand eight or two thousand nine,

1:09:30.040 --> 1:09:31.960
<v Speaker 1>But now people are willing to take it seriously, They're

1:09:31.960 --> 1:09:34.000
<v Speaker 1>willing to partner. Uh. You know, the fact that even

1:09:34.040 --> 1:09:36.200
<v Speaker 1>volunteers show up to Schoolhouse dot World and to tutor

1:09:36.240 --> 1:09:39.920
<v Speaker 1>other people is because there's some trust and belief in

1:09:40.360 --> 1:09:43.000
<v Speaker 1>what we're trying to pull off. But even today, I

1:09:43.120 --> 1:09:46.120
<v Speaker 1>think I think it's a lot of what I do

1:09:46.320 --> 1:09:48.280
<v Speaker 1>is trying to get people to believe I I really

1:09:48.280 --> 1:09:51.280
<v Speaker 1>I realized that that's like the believe both in our

1:09:51.320 --> 1:09:54.800
<v Speaker 1>own organization, Like hey, hey, hey, folks, we're literally trying

1:09:54.800 --> 1:09:56.360
<v Speaker 1>to move the dial for the world. And I know

1:09:56.479 --> 1:09:58.559
<v Speaker 1>you can get cynical about that, but it's doable. Um,

1:09:58.600 --> 1:10:01.080
<v Speaker 1>how do you use AI in education? Well, there there's

1:10:01.760 --> 1:10:03.080
<v Speaker 1>you know, there's a lot of what we already know

1:10:03.280 --> 1:10:05.200
<v Speaker 1>is going on, and then there's a lot of potential.

1:10:05.280 --> 1:10:08.720
<v Speaker 1>Even before these large language models like chat, GPT and

1:10:08.760 --> 1:10:11.600
<v Speaker 1>all of that, we've always thought, hey, AI could be

1:10:11.680 --> 1:10:13.759
<v Speaker 1>used to this is it's being used in for profit

1:10:13.800 --> 1:10:16.360
<v Speaker 1>companies to recommend the right add to you. In an

1:10:16.479 --> 1:10:19.000
<v Speaker 1>education setting, maybe it can be used to recommend the

1:10:19.120 --> 1:10:21.280
<v Speaker 1>right content to you. And we've used variations of that

1:10:21.439 --> 1:10:24.200
<v Speaker 1>in the past at Kon Academy. I think what's exciting

1:10:24.240 --> 1:10:28.840
<v Speaker 1>about these large language models is the potential for them

1:10:29.000 --> 1:10:31.880
<v Speaker 1>to start to act like a socratic tutor, for them

1:10:31.960 --> 1:10:35.840
<v Speaker 1>to intro to introduce modalities that might not have existed before.

1:10:36.200 --> 1:10:38.759
<v Speaker 1>I know people are really worried about this doing essays

1:10:38.800 --> 1:10:41.400
<v Speaker 1>for students, but maybe we can embrace that and say, well,

1:10:41.439 --> 1:10:44.120
<v Speaker 1>maybe it can help the student do something more ambitious.

1:10:44.680 --> 1:10:47.519
<v Speaker 1>Maybe it can help give feedback that. Traditionally, when you

1:10:47.560 --> 1:10:49.880
<v Speaker 1>write an essay, at best, it might take you a

1:10:49.920 --> 1:10:51.439
<v Speaker 1>week or two to get the feedback, and then if

1:10:51.520 --> 1:10:53.439
<v Speaker 1>even if you make it better, you may right not

1:10:53.520 --> 1:10:55.479
<v Speaker 1>get a chance to to get feedback on that. Now

1:10:55.479 --> 1:10:58.639
<v Speaker 1>you could get instant feedback. Uh. I did a little

1:10:58.680 --> 1:11:01.800
<v Speaker 1>experiment with my daughter or where we used a large

1:11:01.880 --> 1:11:04.560
<v Speaker 1>language model to co write a story, but then she

1:11:04.760 --> 1:11:06.719
<v Speaker 1>had a chance to talk to one of the characters.

1:11:06.920 --> 1:11:09.519
<v Speaker 1>That's something that just seems like science fiction, but it's

1:11:09.600 --> 1:11:12.000
<v Speaker 1>now doable. Or we're at the cusp of of making

1:11:12.040 --> 1:11:15.639
<v Speaker 1>these things doable. So if you imagine, I think we're

1:11:16.240 --> 1:11:19.920
<v Speaker 1>in the next year, we're going to see layers on

1:11:20.040 --> 1:11:22.600
<v Speaker 1>top of tools like con academy where you might have

1:11:22.760 --> 1:11:25.599
<v Speaker 1>a tutor and AI tutor. Now, once again, I don't

1:11:25.600 --> 1:11:28.519
<v Speaker 1>think this replaces the human but it just gives more

1:11:28.640 --> 1:11:31.360
<v Speaker 1>leverage to the human teacher, to the human parent, uh

1:11:31.439 --> 1:11:33.559
<v Speaker 1>to be able to be able to do more. It's

1:11:33.600 --> 1:11:35.800
<v Speaker 1>like moving beyond when you know math right, it used

1:11:35.800 --> 1:11:37.400
<v Speaker 1>to be what's what's the answer? Did you get the

1:11:37.439 --> 1:11:39.680
<v Speaker 1>answer right? And then it moved to wait, what was

1:11:39.720 --> 1:11:42.680
<v Speaker 1>your thinking? And show us the work. And okay, you

1:11:42.760 --> 1:11:44.880
<v Speaker 1>know that was more important than really kind of the

1:11:44.960 --> 1:11:48.120
<v Speaker 1>final to some extent or as important to getting the

1:11:48.120 --> 1:11:50.200
<v Speaker 1>answer right. What do you think about the A C

1:11:50.360 --> 1:11:51.840
<v Speaker 1>T S and S A T S. A lot of

1:11:51.880 --> 1:11:54.560
<v Speaker 1>it went away during the pandemic? Good move, Like do

1:11:54.640 --> 1:11:56.960
<v Speaker 1>we have to move away from that stuff? Well? Those

1:11:57.000 --> 1:11:58.519
<v Speaker 1>tests is perfect. But I always tell people if you

1:11:58.560 --> 1:12:00.400
<v Speaker 1>don't like standardized tests, what part you not like the

1:12:00.479 --> 1:12:03.000
<v Speaker 1>standardized or the test? And you need to have some

1:12:03.160 --> 1:12:06.680
<v Speaker 1>way of of of understanding, and especially now that you

1:12:06.720 --> 1:12:09.680
<v Speaker 1>have chat GPT that can write your college essays, this

1:12:09.840 --> 1:12:13.040
<v Speaker 1>is actually the fairest mechanism by which to be able

1:12:13.080 --> 1:12:16.560
<v Speaker 1>to see who's college ready brilliant we have not. That

1:12:17.000 --> 1:12:19.600
<v Speaker 1>is just an interesting way of thinking about this. And

1:12:19.720 --> 1:12:23.400
<v Speaker 1>I don't like my test part. To answer your sal

1:12:23.520 --> 1:12:27.240
<v Speaker 1>thank you so much, good luck. Such an incredible organization

1:12:27.280 --> 1:12:30.200
<v Speaker 1>that you've created. Um and as we said, what almost

1:12:30.200 --> 1:12:33.280
<v Speaker 1>twenty years in, it's pretty remarkable. Sal con He is

1:12:33.360 --> 1:12:36.600
<v Speaker 1>founder and chief executive officer of con Academy, joining us

1:12:36.680 --> 1:12:39.560
<v Speaker 1>via zoom from Mountain View, California. Just google them you

1:12:39.600 --> 1:12:41.519
<v Speaker 1>can find out all the incredible work that they are. Yeah,

1:12:41.560 --> 1:12:44.160
<v Speaker 1>it's incredible for a long time. More than fifty languages

1:12:44.720 --> 1:12:47.280
<v Speaker 1>used in more than a hundred and ninety countries, a

1:12:47.400 --> 1:12:55.040
<v Speaker 1>hundred and forty five million registered users. You're listening to

1:12:55.120 --> 1:12:58.800
<v Speaker 1>the Bloomberg Business Week podcast. Catch us live week days

1:12:58.840 --> 1:13:01.840
<v Speaker 1>from two to five pm Eastern on Bloomberg Radio, The

1:13:01.920 --> 1:13:05.000
<v Speaker 1>Bloomberg Business and and you too. You can also listen

1:13:05.160 --> 1:13:08.680
<v Speaker 1>live to our flagship New York station, Just Say Alexa

1:13:08.920 --> 1:13:14.040
<v Speaker 1>play Bloomberg Love and Dirty Carol Masser along with Katie Griffel.

1:13:14.080 --> 1:13:15.519
<v Speaker 1>The only reason Katie agreed to do the show is

1:13:15.560 --> 1:13:17.679
<v Speaker 1>because of the segment. You can be honest, I heard

1:13:17.760 --> 1:13:20.680
<v Speaker 1>this was happening. I had to be here, all right.

1:13:20.800 --> 1:13:24.040
<v Speaker 1>It's been another nutty week. Katie was traveling lots of news,

1:13:24.120 --> 1:13:27.080
<v Speaker 1>as you know, markets, a little bit of some gyrations here.

1:13:27.400 --> 1:13:29.240
<v Speaker 1>We know we needed to wrap up with a segment

1:13:29.320 --> 1:13:31.400
<v Speaker 1>on wine, and so with us right now is Josh Green,

1:13:31.560 --> 1:13:34.120
<v Speaker 1>editor in chief for Wine in Spirits Magazine, here in

1:13:34.160 --> 1:13:37.080
<v Speaker 1>our Bloomberg Interactive Broker studio. And yes we're gonna sample

1:13:37.120 --> 1:13:39.360
<v Speaker 1>someone in a moment. But Josh, first of all, how

1:13:39.400 --> 1:13:41.400
<v Speaker 1>are you great to be here? I'm doing very well.

1:13:41.560 --> 1:13:44.360
<v Speaker 1>It's a spring day outside that's what. It's beautiful. It

1:13:44.439 --> 1:13:47.479
<v Speaker 1>feels really good, it feels really actually going running after this,

1:13:47.760 --> 1:13:49.800
<v Speaker 1>but still I'm here for the one. You can always

1:13:49.800 --> 1:13:52.960
<v Speaker 1>have a little sip. That's true. Well, extra springing your step. UM,

1:13:53.320 --> 1:13:55.160
<v Speaker 1>big trends in wines last year. Talk to us a

1:13:55.160 --> 1:13:57.800
<v Speaker 1>little bit about this past year and how this year

1:13:57.840 --> 1:13:59.880
<v Speaker 1>is shaping up when it comes to the wine industry. Well,

1:14:00.000 --> 1:14:02.559
<v Speaker 1>everyone was very nervous about the pandemic from the industry's

1:14:02.600 --> 1:14:05.080
<v Speaker 1>point of view, because everyone closed their tasting rooms. But

1:14:05.400 --> 1:14:09.840
<v Speaker 1>UM deep direct to consumer did super super well. And UM,

1:14:10.200 --> 1:14:15.120
<v Speaker 1>so there's this phenomenon everyone calls it premium. Yeah, a

1:14:15.200 --> 1:14:18.719
<v Speaker 1>lot of people bought more wine, and so UM premium wines.

1:14:18.760 --> 1:14:23.519
<v Speaker 1>Premiumatization is increasing at a pretty stiff clip. So UM

1:14:24.479 --> 1:14:28.160
<v Speaker 1>it means that people are buying up. And what's unfortunate,

1:14:28.320 --> 1:14:30.720
<v Speaker 1>because the industry relies on it, is that things under

1:14:30.760 --> 1:14:35.280
<v Speaker 1>fifteen dollars are sales are are diminishing, but things above

1:14:35.360 --> 1:14:38.639
<v Speaker 1>fifteen are actually on the increase. So UM. The Silicon

1:14:38.760 --> 1:14:42.120
<v Speaker 1>Valley Bank does their annual report every year and UM

1:14:42.360 --> 1:14:44.280
<v Speaker 1>it created a lot of buzz in the industry this

1:14:44.360 --> 1:14:47.559
<v Speaker 1>year because there was there was a number of UM

1:14:47.760 --> 1:14:49.880
<v Speaker 1>there were a number of trends that were scary for

1:14:49.960 --> 1:14:54.360
<v Speaker 1>the industry, including this issue of baby boomers continuing to

1:14:54.520 --> 1:14:57.880
<v Speaker 1>drink a lot of wine and millennials continuing not to

1:14:58.000 --> 1:14:59.840
<v Speaker 1>drink a lot of wine. All right, millennial, what's wrong?

1:15:00.000 --> 1:15:01.960
<v Speaker 1>So that? Are you a millennial or you? Actually? I

1:15:02.160 --> 1:15:05.000
<v Speaker 1>know I am a millennial. I will say the pandemic.

1:15:05.120 --> 1:15:07.240
<v Speaker 1>You bought more wine. I drank a lot more wine

1:15:07.280 --> 1:15:09.640
<v Speaker 1>because I was with my parents for six months, so

1:15:09.960 --> 1:15:12.360
<v Speaker 1>I got really into white wine. For example. It used

1:15:12.400 --> 1:15:14.280
<v Speaker 1>to be just read only, but my mom loves the

1:15:14.280 --> 1:15:17.240
<v Speaker 1>white wine. Tell me about these millennials who are not

1:15:17.680 --> 1:15:22.800
<v Speaker 1>made well, they are often choosing to drink spirits. Um.

1:15:22.960 --> 1:15:27.519
<v Speaker 1>So the baby boom generation came to wine really in

1:15:27.640 --> 1:15:30.600
<v Speaker 1>the early nineties when sixty Minutes produced this segment on

1:15:31.080 --> 1:15:34.679
<v Speaker 1>how red wine was good for your health. Now that yeah,

1:15:34.760 --> 1:15:38.839
<v Speaker 1>now that's been questioned, and um, since it's been questioned.

1:15:39.240 --> 1:15:42.880
<v Speaker 1>It also is it a time when younger people who

1:15:42.960 --> 1:15:46.599
<v Speaker 1>are nesting m getting married and that's when they usually

1:15:46.640 --> 1:15:49.400
<v Speaker 1>start drinking wine are not turning to wine as much.

1:15:49.600 --> 1:15:51.599
<v Speaker 1>So they'll go out to a restaurant and the loader

1:15:51.640 --> 1:15:55.880
<v Speaker 1>cocktails and cocktails are booming and spirits are booming. So

1:15:56.439 --> 1:15:59.559
<v Speaker 1>for that generation, they're choosing either not to drink alcohol

1:16:00.080 --> 1:16:03.639
<v Speaker 1>or to drink alcohol other than wine. That is so interesting.

1:16:03.640 --> 1:16:06.400
<v Speaker 1>Actually that does mirror my own life because my husband,

1:16:06.439 --> 1:16:09.200
<v Speaker 1>for example, he loves to cook, he also loves to

1:16:09.360 --> 1:16:12.200
<v Speaker 1>make cocktails. So I don't know. But for me, the

1:16:12.280 --> 1:16:17.760
<v Speaker 1>pie is just getting bigger. It's not necessarily taking all

1:16:17.840 --> 1:16:20.720
<v Speaker 1>of the above. So it's not really dire. I mean

1:16:20.800 --> 1:16:25.719
<v Speaker 1>there is there. There is a continuing um there. People

1:16:25.720 --> 1:16:28.240
<v Speaker 1>are continuing to drink wine. It's just that the growth

1:16:28.840 --> 1:16:34.000
<v Speaker 1>is in the above fifteen so nine revenue was up

1:16:34.080 --> 1:16:39.040
<v Speaker 1>nine that in that segment of the industry. It's interesting

1:16:39.080 --> 1:16:40.960
<v Speaker 1>because I do feel like we you know, we do

1:16:41.040 --> 1:16:43.800
<v Speaker 1>a lot of wine segments. To be quite honest, on

1:16:43.840 --> 1:16:46.560
<v Speaker 1>Bloomberg Business Weekend, I do feel like we often have

1:16:46.720 --> 1:16:48.519
<v Speaker 1>people who you know, come on and say, like, there's

1:16:48.520 --> 1:16:51.439
<v Speaker 1>a range of money you can spend on wines, but

1:16:51.520 --> 1:16:55.240
<v Speaker 1>there's a lot of great wines out there under twenty

1:16:55.320 --> 1:16:58.360
<v Speaker 1>dollars or under You don't the whole concept in this

1:16:58.479 --> 1:16:59.760
<v Speaker 1>idea of you don't have to spend a ton of

1:17:00.040 --> 1:17:01.519
<v Speaker 1>ton of money to get a great bottle of wine.

1:17:01.680 --> 1:17:05.160
<v Speaker 1>Well that's absolutely true. And in fact, the boomers, who

1:17:05.200 --> 1:17:08.680
<v Speaker 1>are older in their sixties are buying more wine by

1:17:08.800 --> 1:17:12.080
<v Speaker 1>volume but at a lower price, and the younger people

1:17:12.320 --> 1:17:15.360
<v Speaker 1>are actually buying higher priced wines to their sort of

1:17:15.400 --> 1:17:18.080
<v Speaker 1>wine curious. They're experimenting, they're looking at things that they

1:17:18.080 --> 1:17:21.479
<v Speaker 1>don't know about and trying them, and so they're willing

1:17:21.520 --> 1:17:23.839
<v Speaker 1>to spend more on on a wine for an occasion,

1:17:24.640 --> 1:17:27.400
<v Speaker 1>but they're not drinking as much every day. Okay, that's

1:17:27.439 --> 1:17:31.320
<v Speaker 1>really interesting. Do you do it? I mean, well, it

1:17:31.439 --> 1:17:34.400
<v Speaker 1>does feel when it comes to different price points, like

1:17:34.479 --> 1:17:38.680
<v Speaker 1>buying something fifteen dollars, I just probably don't do it.

1:17:38.720 --> 1:17:42.840
<v Speaker 1>I probably buy up and for it is more occasion based.

1:17:42.880 --> 1:17:44.280
<v Speaker 1>It feels like it's not just like, oh it's too

1:17:44.320 --> 1:17:46.400
<v Speaker 1>sale drink wine, Like then I might actually make a

1:17:46.479 --> 1:17:48.280
<v Speaker 1>gin and tonic at home, But I don't think I

1:17:48.400 --> 1:17:52.880
<v Speaker 1>speak for an entire generation. So I mean, I am

1:17:53.240 --> 1:17:57.479
<v Speaker 1>curious though when I think about my peers. I know

1:17:57.680 --> 1:18:02.240
<v Speaker 1>that mock tails have seemingly become a really big trend,

1:18:02.320 --> 1:18:05.080
<v Speaker 1>and you were talking about how there's this gravitation towards cocktails,

1:18:05.200 --> 1:18:07.680
<v Speaker 1>But what are you seeing when it comes to non

1:18:07.760 --> 1:18:11.360
<v Speaker 1>alcoholic drinks? We see a lot of growth in that area,

1:18:11.640 --> 1:18:13.800
<v Speaker 1>and we as a magazine don't pay a whole lot

1:18:13.800 --> 1:18:17.559
<v Speaker 1>of attention to that, um, But there is a lot

1:18:17.680 --> 1:18:20.719
<v Speaker 1>of activity because you are because we're wine in spirits

1:18:20.720 --> 1:18:23.840
<v Speaker 1>and we don't really cover non alcoholic stuff. But there's

1:18:23.840 --> 1:18:26.880
<v Speaker 1>a lot of activity even among wineries to produce lower

1:18:26.920 --> 1:18:30.479
<v Speaker 1>alcohol wines and no alcohol wines and um. And there's

1:18:30.479 --> 1:18:35.280
<v Speaker 1>also you know, in terms of dry January, curious, sober, sober,

1:18:35.320 --> 1:18:37.920
<v Speaker 1>curious people there there's those are terms I here all

1:18:38.000 --> 1:18:43.120
<v Speaker 1>the time now and you never heard them. Curious. Yeah,

1:18:43.200 --> 1:18:46.640
<v Speaker 1>it's a whole trend on TikTok. Well, it's interesting Timstanovic,

1:18:46.680 --> 1:18:52.400
<v Speaker 1>who's my normal co host, you're my abnormally kidding, but

1:18:52.520 --> 1:18:55.639
<v Speaker 1>he drinks non alcoholic beer, um, and he's a millennial.

1:18:55.760 --> 1:18:56.960
<v Speaker 1>Like to make fun of him, but I feel like

1:18:57.040 --> 1:18:59.320
<v Speaker 1>that's not okay, I can't. In fact, there's some really

1:18:59.400 --> 1:19:01.880
<v Speaker 1>good on alcoholic beers out there, and now some really

1:19:01.960 --> 1:19:04.720
<v Speaker 1>good some really good products made from wine that are

1:19:04.760 --> 1:19:07.360
<v Speaker 1>not alcoholic that I have friends who are making some

1:19:07.520 --> 1:19:09.400
<v Speaker 1>that are delicious. All right, So what's innovation in the

1:19:09.479 --> 1:19:13.360
<v Speaker 1>wine industry today? I would say that the innovation is

1:19:13.439 --> 1:19:18.599
<v Speaker 1>really in farming, um, because you have this huge challenge.

1:19:18.680 --> 1:19:20.080
<v Speaker 1>One of the one of the huge challenges to the

1:19:20.120 --> 1:19:25.000
<v Speaker 1>industry is climate change, and so people have to develop

1:19:25.120 --> 1:19:28.680
<v Speaker 1>farming tools and farming techniques that will sustain them through

1:19:28.800 --> 1:19:33.280
<v Speaker 1>these really aggressive extremes of weather. And so people are

1:19:33.920 --> 1:19:35.800
<v Speaker 1>you know, in certain areas where there's a lot of hail,

1:19:36.040 --> 1:19:38.920
<v Speaker 1>people are finding ways of netting that is not driving

1:19:38.960 --> 1:19:41.160
<v Speaker 1>them out of business. So netting the vines to protect

1:19:41.200 --> 1:19:44.840
<v Speaker 1>the grapes um where there is where there have been

1:19:44.880 --> 1:19:48.160
<v Speaker 1>fire fire forest fires, it's been really devastating. I'm just

1:19:48.280 --> 1:19:51.040
<v Speaker 1>I was I'm headed down to Chile next month to

1:19:51.240 --> 1:19:54.200
<v Speaker 1>the south where I love the wines from the far South,

1:19:54.320 --> 1:19:59.360
<v Speaker 1>where these very ancient vineyards, year old vineyards, and they've

1:19:59.360 --> 1:20:01.519
<v Speaker 1>been wiped out up by forest fires in the last week.

1:20:02.360 --> 1:20:06.599
<v Speaker 1>So people need to find tools to deal with protecting

1:20:06.640 --> 1:20:10.120
<v Speaker 1>their vines and to deal with protecting them from heat. Um,

1:20:11.000 --> 1:20:13.839
<v Speaker 1>you have a lot of people. I guess the biggest

1:20:13.880 --> 1:20:17.160
<v Speaker 1>trend farming wise is that even in places like Burgundy,

1:20:18.040 --> 1:20:21.479
<v Speaker 1>you're seeing a classification that was based on where the

1:20:21.560 --> 1:20:26.040
<v Speaker 1>snow first melted in the spring, and now the classification

1:20:26.160 --> 1:20:29.800
<v Speaker 1>is based on where the coolest areas are, so you

1:20:29.840 --> 1:20:31.880
<v Speaker 1>don't get sunburned on your grapes, So you don't you

1:20:31.960 --> 1:20:34.599
<v Speaker 1>want a northern exposure suddenly rather than southern exposure. It's

1:20:34.600 --> 1:20:36.120
<v Speaker 1>so funny because I think Business Week has done some

1:20:36.200 --> 1:20:38.439
<v Speaker 1>reporting to that, just saying because of climate change, Okay,

1:20:38.479 --> 1:20:41.439
<v Speaker 1>so maybe you can't really grow here, but in this

1:20:41.680 --> 1:20:44.000
<v Speaker 1>area where it maybe used to be too warm, it's

1:20:44.000 --> 1:20:46.160
<v Speaker 1>a little cooler where it was too cool, like warmer.

1:20:46.240 --> 1:20:48.360
<v Speaker 1>So things are kind of shifting around the world a

1:20:48.400 --> 1:20:50.680
<v Speaker 1>little bit. And then in those in those areas where

1:20:50.720 --> 1:20:52.639
<v Speaker 1>you had moisture in the soil and that wasn't good

1:20:52.680 --> 1:20:56.080
<v Speaker 1>for the vines, suddenly against drought it's saving the vines.

1:20:56.439 --> 1:20:59.760
<v Speaker 1>So all these all these places that were once secondary

1:21:00.040 --> 1:21:03.600
<v Speaker 1>are now becoming primary. And it doesn't necessarily mean that

1:21:03.640 --> 1:21:06.519
<v Speaker 1>the great vineyards are bad now, but the great vineyards

1:21:06.520 --> 1:21:09.320
<v Speaker 1>are challenged in a way they've never been challenged before.

1:21:09.760 --> 1:21:11.559
<v Speaker 1>So you can't rely on the fact that the vineyard

1:21:11.640 --> 1:21:13.880
<v Speaker 1>is great. You have to know that the producer is

1:21:13.960 --> 1:21:16.640
<v Speaker 1>really actively farming their vines to protect them from the

1:21:16.840 --> 1:21:20.280
<v Speaker 1>grapes from the sun, to protect the vines from drought.

1:21:20.680 --> 1:21:24.559
<v Speaker 1>You know that it's a big deal. Now affects the advantage,

1:21:24.560 --> 1:21:26.200
<v Speaker 1>and so we only have like a minute left, but

1:21:26.240 --> 1:21:28.599
<v Speaker 1>I am curious. Then we're gonna open up some bottles exactly.

1:21:29.160 --> 1:21:30.600
<v Speaker 1>I really want to get to that. But you know,

1:21:30.840 --> 1:21:33.920
<v Speaker 1>innovation when comes it comes to farming. But when we

1:21:34.000 --> 1:21:37.360
<v Speaker 1>talk about, you know, the decrease consumption among millennials when

1:21:37.360 --> 1:21:41.080
<v Speaker 1>it comes to wine. Are our wine makers trying to

1:21:41.120 --> 1:21:43.400
<v Speaker 1>innovate around that? Are they trying to reach out to

1:21:43.479 --> 1:21:47.880
<v Speaker 1>those millennials. I think that there will be. I believe

1:21:48.000 --> 1:21:51.040
<v Speaker 1>that there will be a necessary shift in the way

1:21:51.200 --> 1:21:56.040
<v Speaker 1>that wines are priced. UM, because when I was growing up,

1:21:56.520 --> 1:21:58.320
<v Speaker 1>I'm an old guy now, but when I was growing up,

1:21:58.439 --> 1:22:01.040
<v Speaker 1>I could buy Roumier for went dollars a bottle at

1:22:01.040 --> 1:22:02.560
<v Speaker 1>the store. Now that same bottle that I bought for

1:22:03.360 --> 1:22:08.120
<v Speaker 1>eight hundred dollars. The people that I'm serious designation UM

1:22:08.280 --> 1:22:10.360
<v Speaker 1>and the people that are coming into the industry now,

1:22:10.840 --> 1:22:13.599
<v Speaker 1>they don't get to taste those wines and they don't

1:22:13.720 --> 1:22:15.680
<v Speaker 1>get the kind of excitement around the one. I mean,

1:22:15.720 --> 1:22:18.479
<v Speaker 1>we're showing you two really beautiful wines, but they're out

1:22:18.520 --> 1:22:23.400
<v Speaker 1>of the budget of most people. So UM, the industries,

1:22:24.120 --> 1:22:25.519
<v Speaker 1>I think the people who are going to be most

1:22:25.520 --> 1:22:27.920
<v Speaker 1>successful in the next few years are the people who

1:22:27.960 --> 1:22:32.320
<v Speaker 1>are going to be innovating on creating exciting wines. Not

1:22:32.760 --> 1:22:35.400
<v Speaker 1>commercial winds, but exciting wines. It's wines that will excite

1:22:35.400 --> 1:22:37.760
<v Speaker 1>people at a price point that they can afford. Now

1:22:37.880 --> 1:22:41.960
<v Speaker 1>that makes so much sense. Um, So we're gonna open up.

1:22:42.040 --> 1:22:44.519
<v Speaker 1>First of all, Um, Josh, you brought some wine for

1:22:44.600 --> 1:22:47.040
<v Speaker 1>us to sample, and some champagne actually for us to sample.

1:22:47.080 --> 1:22:48.960
<v Speaker 1>So we're gonna open up. Tell us about this bottle

1:22:49.000 --> 1:22:51.120
<v Speaker 1>that we're gonna that. Stephen actually who's in studio with us,

1:22:51.240 --> 1:22:53.120
<v Speaker 1>is going to open up for us. So Steven's opening.

1:22:53.240 --> 1:22:58.799
<v Speaker 1>Steven's opening the addition to for three of Rotor collection

1:22:58.880 --> 1:23:01.479
<v Speaker 1>too for three And what this is is a completely

1:23:01.560 --> 1:23:04.240
<v Speaker 1>new kind of wine from Rotor. So the two we're

1:23:04.280 --> 1:23:07.040
<v Speaker 1>doing this big event on next week and the two

1:23:07.160 --> 1:23:11.880
<v Speaker 1>champagne producers pouring at the event are both pretty significant houses.

1:23:12.240 --> 1:23:15.719
<v Speaker 1>They put vineyards first, that's Bowl and j and Ludi Roder.

1:23:16.200 --> 1:23:19.559
<v Speaker 1>And what Ludi Roder did was they their Brute Premier wine,

1:23:19.680 --> 1:23:23.000
<v Speaker 1>which was their um, their basic non vintage brute wine.

1:23:23.880 --> 1:23:29.640
<v Speaker 1>They transitioned um a year ago over to this collection wine. So, um,

1:23:30.280 --> 1:23:32.720
<v Speaker 1>what this is that one's for you? It is first

1:23:32.760 --> 1:23:34.040
<v Speaker 1>of all, can I just say, I don't know if

1:23:34.080 --> 1:23:36.960
<v Speaker 1>you can see this all right, generous, it's well, it's generous,

1:23:37.000 --> 1:23:40.360
<v Speaker 1>and it's it's gorgeous, like the color the bubbles. So

1:23:40.439 --> 1:23:44.080
<v Speaker 1>this is the two eighteen vintage. It's about eighteen vintage.

1:23:44.400 --> 1:23:48.040
<v Speaker 1>And then Jean Jean papists Lacaillon, who's the winemaker and

1:23:48.120 --> 1:23:52.839
<v Speaker 1>the viticulturist there. He started what he calls a perpetual

1:23:52.960 --> 1:23:57.040
<v Speaker 1>reserve in two thousand twelve, so he started taking wines

1:23:57.200 --> 1:24:02.120
<v Speaker 1>and putting them away. So he's got two eighteen vintage

1:24:02.200 --> 1:24:05.280
<v Speaker 1>from his growers and they're consulting with all their growers.

1:24:05.400 --> 1:24:07.479
<v Speaker 1>Everything else that they make is from their own vineyards,

1:24:07.720 --> 1:24:09.880
<v Speaker 1>but this wine is from growers, including some of their

1:24:09.880 --> 1:24:11.960
<v Speaker 1>own vineyards, but from growers. And then they have this

1:24:12.000 --> 1:24:14.559
<v Speaker 1>perpetual reserve what they add to each year, so there's

1:24:14.600 --> 1:24:17.080
<v Speaker 1>a consistency. So there's a consistency that they blended into this.

1:24:17.200 --> 1:24:20.559
<v Speaker 1>And then they have some wine from oak aged reserves

1:24:21.280 --> 1:24:23.400
<v Speaker 1>and they blended all together and they make this wine.

1:24:23.960 --> 1:24:27.120
<v Speaker 1>And it's completely a different style of wine from what grew.

1:24:27.200 --> 1:24:31.120
<v Speaker 1>Premier used to be cheers say wine, but it's a

1:24:31.200 --> 1:24:33.160
<v Speaker 1>champagne to champagne, but champagne is a wine. I was

1:24:33.160 --> 1:24:36.360
<v Speaker 1>a little confused about that. Is it if I call

1:24:36.439 --> 1:24:39.120
<v Speaker 1>it champagne? Not at all because from it's from Champagne,

1:24:39.400 --> 1:24:41.960
<v Speaker 1>but it's a wine from Champagne. They also make still

1:24:42.000 --> 1:24:44.719
<v Speaker 1>wines in Champagne. You know what, go ahead, no finish.

1:24:44.920 --> 1:24:46.839
<v Speaker 1>That makes still ones in champagne, and that makes sparking moneagine.

1:24:46.880 --> 1:24:48.919
<v Speaker 1>You know what's really fun is I feel like champagne.

1:24:49.360 --> 1:24:52.720
<v Speaker 1>At least for me. Growing up, it was holidays and celebrations.

1:24:52.800 --> 1:24:54.920
<v Speaker 1>But you go now to a bar, went to a

1:24:55.040 --> 1:24:57.360
<v Speaker 1>work event, and that was the drink that they were

1:24:57.400 --> 1:25:00.680
<v Speaker 1>initially kind of having everybody drink and it's it's just

1:25:00.840 --> 1:25:02.560
<v Speaker 1>you go out and people are like, well, let me

1:25:02.600 --> 1:25:04.760
<v Speaker 1>have a glass of champagne. A lot of people, a

1:25:04.800 --> 1:25:07.920
<v Speaker 1>lot of wine directors at restaurants. We're interviewing a bunch

1:25:07.960 --> 1:25:09.320
<v Speaker 1>of them right now for a project we work on

1:25:09.400 --> 1:25:12.839
<v Speaker 1>for our next issue. And I was just interesting interviewing

1:25:12.960 --> 1:25:17.400
<v Speaker 1>Natalie McDade at Craft yesterday talking about what's going on

1:25:17.479 --> 1:25:19.320
<v Speaker 1>to Craft, and she said one of the things she's

1:25:19.320 --> 1:25:22.160
<v Speaker 1>seeing is that people are drinking champagne as a wine

1:25:22.240 --> 1:25:25.560
<v Speaker 1>for dinner for the first time in her career, that

1:25:25.640 --> 1:25:27.680
<v Speaker 1>they're not just waiting to have a celebration. They're having

1:25:27.720 --> 1:25:29.639
<v Speaker 1>it at dinner, which is something that I love to hear,

1:25:29.960 --> 1:25:32.000
<v Speaker 1>that she loves to see and that many people in

1:25:32.040 --> 1:25:34.439
<v Speaker 1>the industry have been waiting to happen. Yeah, I see

1:25:34.439 --> 1:25:35.960
<v Speaker 1>it all the time. I've done it. Yeah. Well, maybe

1:25:36.040 --> 1:25:38.360
<v Speaker 1>this is just antec data, but to the point that

1:25:38.479 --> 1:25:41.120
<v Speaker 1>it used to be, it still is a celebration drink.

1:25:41.160 --> 1:25:44.519
<v Speaker 1>I feel like I have noticed people order prosecco when

1:25:44.560 --> 1:25:48.320
<v Speaker 1>they're just like casually out for dinner. Maybe champagne feels

1:25:48.360 --> 1:25:51.640
<v Speaker 1>a little bit too much, too serious, or you know,

1:25:51.760 --> 1:25:54.679
<v Speaker 1>too much of a celebration. Prosecco seems to have taken

1:25:54.720 --> 1:25:57.880
<v Speaker 1>on this role is like this is more every day. Ye.

1:25:58.200 --> 1:26:01.599
<v Speaker 1>There there's very commercial prosecco and was also really absolutely delicious,

1:26:01.720 --> 1:26:05.400
<v Speaker 1>very special prosecco, very carefully grown prosecco. So there's some

1:26:05.479 --> 1:26:07.960
<v Speaker 1>really great wines in that category, and that's come up

1:26:07.960 --> 1:26:10.479
<v Speaker 1>a lot, and I think that it's become extreme. It's

1:26:10.520 --> 1:26:13.200
<v Speaker 1>really blown away a lot of the other categories of

1:26:13.240 --> 1:26:15.760
<v Speaker 1>sparkling wine other than champagne. Champagne is continuing to boom,

1:26:16.000 --> 1:26:18.519
<v Speaker 1>and prosecco was really booming. But we what we did

1:26:18.720 --> 1:26:23.400
<v Speaker 1>was Um. Stephen. Stephen brought brought some food that's gonna

1:26:23.400 --> 1:26:25.920
<v Speaker 1>be paired with this UM, with this wine at the event.

1:26:26.120 --> 1:26:28.439
<v Speaker 1>We'll tell us about this. So this is pizza Bianca,

1:26:29.040 --> 1:26:32.280
<v Speaker 1>which is UM. Robin Wright is the sammier at the

1:26:32.400 --> 1:26:37.400
<v Speaker 1>wine director at Chisiama Chiamo in UM Manhattan West UM.

1:26:37.960 --> 1:26:43.560
<v Speaker 1>It's a Union Square Hospitality Group restaurant. And yeah, and

1:26:43.880 --> 1:26:46.240
<v Speaker 1>so she said that her favorite thing with this dish

1:26:46.840 --> 1:26:49.600
<v Speaker 1>is champagne and sparkling wine. So we have them right

1:26:49.680 --> 1:26:52.840
<v Speaker 1>next to a prosecco Domi prosecco and right next to

1:26:53.320 --> 1:26:56.559
<v Speaker 1>Um rotor or State Rotor, Rotor, Louis rot Or, Champagne

1:26:57.160 --> 1:26:59.040
<v Speaker 1>and UM. So we thought we'd bring it over. We

1:26:59.160 --> 1:27:01.360
<v Speaker 1>were bringing the rotor. We thought we'd bring some some

1:27:01.800 --> 1:27:05.559
<v Speaker 1>You heard that we weren't gonna let Katie eat until

1:27:05.600 --> 1:27:09.160
<v Speaker 1>she had She's not going to eat on air. Well,

1:27:09.160 --> 1:27:10.760
<v Speaker 1>I'm going to eat a second, but I want to

1:27:10.840 --> 1:27:13.240
<v Speaker 1>get to the second one because we've got about almost

1:27:13.280 --> 1:27:15.400
<v Speaker 1>three minutes left here. So tell us about you brought

1:27:15.479 --> 1:27:19.519
<v Speaker 1>us another UM a wine here red, yes, a red wine.

1:27:19.600 --> 1:27:23.040
<v Speaker 1>So this is like this is Les marchiole so Tincia Merrily.

1:27:23.360 --> 1:27:26.120
<v Speaker 1>UM has this estate in Bulgary, which is on the

1:27:26.240 --> 1:27:29.840
<v Speaker 1>coast of Italy and the coast of Tuscany. And she

1:27:30.320 --> 1:27:33.360
<v Speaker 1>and her her husband who passed away I think in

1:27:33.400 --> 1:27:37.960
<v Speaker 1>the early two thousand's. Um, he and she developed this

1:27:38.160 --> 1:27:41.920
<v Speaker 1>estate and really found that Cabernet franc performed so well

1:27:42.200 --> 1:27:46.000
<v Speaker 1>in this part of Tuscany. So this is Cabernet franc.

1:27:46.560 --> 1:27:49.360
<v Speaker 1>It is a very I mean to me, this is

1:27:49.400 --> 1:27:51.680
<v Speaker 1>one of the great wines of Italy. Um, it's a

1:27:51.760 --> 1:27:53.800
<v Speaker 1>very beautiful want to make everybody know that we really

1:27:53.840 --> 1:27:56.400
<v Speaker 1>do have the one here. This is true. It's a

1:27:56.520 --> 1:28:00.200
<v Speaker 1>very elegant wine, a very delicate red wine with a

1:28:00.280 --> 1:28:04.240
<v Speaker 1>lot of richness underneath. So she's a very beautiful, delicate

1:28:04.360 --> 1:28:08.320
<v Speaker 1>woman with a lot of strength underneath. My ADOR's she's

1:28:08.360 --> 1:28:12.679
<v Speaker 1>amazing and um and she's you know, after her husband,

1:28:12.720 --> 1:28:15.160
<v Speaker 1>after her husband passed, she really took it on herself

1:28:15.240 --> 1:28:19.120
<v Speaker 1>to make this her project completely and the wine has

1:28:19.160 --> 1:28:21.640
<v Speaker 1>only ever gotten better and better and better. And she

1:28:21.920 --> 1:28:24.040
<v Speaker 1>she's one of the great producers in Italy. Now, I

1:28:24.160 --> 1:28:26.040
<v Speaker 1>just love what's going on. We've had What were you

1:28:26.040 --> 1:28:27.639
<v Speaker 1>going to say? No, I just I want to get

1:28:27.680 --> 1:28:30.280
<v Speaker 1>into like the scoring. Like you mentioned that it scores

1:28:30.400 --> 1:28:34.639
<v Speaker 1>well in Tuscany. What what actually comprises how a wine scores.

1:28:34.720 --> 1:28:37.479
<v Speaker 1>What's the sort of criteria there? It really depends on

1:28:37.520 --> 1:28:40.439
<v Speaker 1>who's scoring it. Um. For us, a lot of it

1:28:40.520 --> 1:28:42.920
<v Speaker 1>has to do with our immediate reaction to the wine

1:28:43.520 --> 1:28:45.960
<v Speaker 1>and what we what our expectations are for the wine.

1:28:46.080 --> 1:28:50.000
<v Speaker 1>Really gentle, Yes, it's gentle and beautiful. Yeah, but it's

1:28:50.080 --> 1:28:53.559
<v Speaker 1>full you were talking. I just I just wann't taste

1:28:53.560 --> 1:28:58.599
<v Speaker 1>it before going well, and only got like forty seconds

1:28:58.680 --> 1:29:03.040
<v Speaker 1>left here tell us about this event, uh six pm

1:29:03.080 --> 1:29:06.200
<v Speaker 1>at Metropolitan Pavilion, which is on eighteen Street west of

1:29:06.320 --> 1:29:09.360
<v Speaker 1>sixth Avenue. This is our top one hund wines of

1:29:09.400 --> 1:29:12.599
<v Speaker 1>the year, which we scored the wineries of the year,

1:29:12.880 --> 1:29:14.960
<v Speaker 1>So these are the wineries that got the highest scores

1:29:15.400 --> 1:29:17.560
<v Speaker 1>and the most highest scores, and so they're going to

1:29:17.640 --> 1:29:20.960
<v Speaker 1>be wineries like Um Biggest Sicilia will be there, which

1:29:21.080 --> 1:29:25.120
<v Speaker 1>is probably the greatest estate in Spain, Um Corson and

1:29:25.320 --> 1:29:28.280
<v Speaker 1>Diamond Creek will be there from Napa Valley. This is incredible.

1:29:28.560 --> 1:29:31.080
<v Speaker 1>They're amazing wines here, like wines you won't be able

1:29:31.120 --> 1:29:34.599
<v Speaker 1>to taste virtually anywhere else in your life. And it's

1:29:34.600 --> 1:29:37.759
<v Speaker 1>a very reasonable ticket to get in. So we're actually

1:29:37.960 --> 1:29:40.080
<v Speaker 1>the tickets are going really fast right now. We're very

1:29:40.120 --> 1:29:43.120
<v Speaker 1>excited about that because since the pandemic is is sort

1:29:43.120 --> 1:29:45.080
<v Speaker 1>of on the wane, people are out and about and

1:29:45.160 --> 1:29:47.559
<v Speaker 1>really excited about going out. I agree with you, everybody

1:29:47.600 --> 1:29:49.800
<v Speaker 1>wants to go do things. Um, Josh, we have to run.

1:29:50.320 --> 1:29:51.920
<v Speaker 1>What a sport. What a great way to wrap up

1:29:51.920 --> 1:29:53.960
<v Speaker 1>our week. Josh Green, editor in chief of Wine and

1:29:54.000 --> 1:29:57.400
<v Speaker 1>Spirits magazine, check out on Wednesday, fabru fifteen, six to

1:29:57.479 --> 1:30:04.519
<v Speaker 1>eight pm, Top one Tasting. This is Bloomberg. You're listening

1:30:04.640 --> 1:30:08.080
<v Speaker 1>to the Bloomberg Business Week Podcast. Catch us live week

1:30:08.160 --> 1:30:11.200
<v Speaker 1>days from two to five pm Eastern on Bloomberg Radio,

1:30:11.439 --> 1:30:14.280
<v Speaker 1>the Bloomberg Business App, and you too. You can also

1:30:14.400 --> 1:30:18.280
<v Speaker 1>listen live to our flagship New York station, Just say Alexa,

1:30:18.520 --> 1:30:21.680
<v Speaker 1>play Bloomberg, E Love and Didi. All right, do you

1:30:21.760 --> 1:30:24.400
<v Speaker 1>want to get to our next guest? Because first of all,

1:30:24.520 --> 1:30:26.720
<v Speaker 1>just to set the stage a little bit, Maddie, a

1:30:26.880 --> 1:30:30.080
<v Speaker 1>recent incredible deep dive by our Bloomberg Equality and Wealth team.

1:30:30.160 --> 1:30:32.919
<v Speaker 1>It looked into what it called the slowest moving financial

1:30:33.000 --> 1:30:35.920
<v Speaker 1>crisis of our time, and that was how public finances

1:30:36.000 --> 1:30:39.400
<v Speaker 1>are buckling as retirement promises made to previous generations collide

1:30:39.439 --> 1:30:43.280
<v Speaker 1>with the realities of an aging population. Basically, we're getting older,

1:30:43.360 --> 1:30:45.320
<v Speaker 1>will live in longer in a lot of ways, like

1:30:45.400 --> 1:30:49.560
<v Speaker 1>how do you kind of maintain your retirement um, and

1:30:49.680 --> 1:30:52.760
<v Speaker 1>maybe also you know, live in a nice way going forward. Yeah,

1:30:52.800 --> 1:30:55.200
<v Speaker 1>it's scary and it's a reminder of the importance of

1:30:55.280 --> 1:30:58.040
<v Speaker 1>saving early and often it's uns like our parents are

1:30:58.080 --> 1:31:00.360
<v Speaker 1>in very all right, So let's get with us because

1:31:00.360 --> 1:31:01.880
<v Speaker 1>we have a great guest who's got some thoughts on that,

1:31:01.960 --> 1:31:05.320
<v Speaker 1>Johnny Us from Charlotte, North Carolina via zoom. Attorney, entrepreneur

1:31:05.400 --> 1:31:08.680
<v Speaker 1>and author Scarlett Cochrane just get a new book out.

1:31:08.760 --> 1:31:11.360
<v Speaker 1>It's called It's Not About the Money. A Proven Path

1:31:11.439 --> 1:31:14.599
<v Speaker 1>to building wealth and living the rich life that you deserve. Uh,

1:31:14.720 --> 1:31:17.800
<v Speaker 1>and great to have you here with us, Scarlett. You know,

1:31:17.880 --> 1:31:20.000
<v Speaker 1>I've got to said I got to say that, I've

1:31:20.040 --> 1:31:22.479
<v Speaker 1>I've read that this book is described as it's a

1:31:22.520 --> 1:31:24.840
<v Speaker 1>book about money, but it's not really about the money.

1:31:24.960 --> 1:31:29.320
<v Speaker 1>So explain that, because it's not about the money, because

1:31:29.360 --> 1:31:33.560
<v Speaker 1>it's about the life that's possible when you create financial

1:31:33.960 --> 1:31:37.439
<v Speaker 1>when you make financial decisions that align with that life. So,

1:31:37.800 --> 1:31:40.760
<v Speaker 1>like you just mentioned, wanting to know that you have

1:31:41.160 --> 1:31:44.320
<v Speaker 1>enough money set aside to not just retire, but also

1:31:44.400 --> 1:31:47.000
<v Speaker 1>to maintain the quality of life that you want to

1:31:47.120 --> 1:31:52.960
<v Speaker 1>have in retirement. That's what it's about. It's it's so important.

1:31:53.080 --> 1:31:56.559
<v Speaker 1>And I feel like, I know you're on TikTok, Scarlett.

1:31:56.600 --> 1:31:58.360
<v Speaker 1>I am a little bit of a TikTok addict, and

1:31:58.400 --> 1:32:00.400
<v Speaker 1>I feel like there's a lot of wealth advice on

1:32:00.479 --> 1:32:03.479
<v Speaker 1>TikTok that's not always the best. Um, a lot of

1:32:03.600 --> 1:32:06.559
<v Speaker 1>like just affirm that you're going to be wealthy someday.

1:32:07.160 --> 1:32:10.200
<v Speaker 1>How does your book differ from that kind of I

1:32:10.200 --> 1:32:12.080
<v Speaker 1>don't want to say woo woo advice, but just a

1:32:12.120 --> 1:32:14.599
<v Speaker 1>little bit more ethereal tell me about how how your

1:32:14.640 --> 1:32:18.280
<v Speaker 1>advice is a little bit more actionable. So, first of all,

1:32:18.360 --> 1:32:21.560
<v Speaker 1>let's not knock the woo, because it's important that we

1:32:21.960 --> 1:32:24.120
<v Speaker 1>have that vision for what we want our lives to

1:32:24.200 --> 1:32:27.360
<v Speaker 1>look like, especially people like me who come from really

1:32:27.479 --> 1:32:31.960
<v Speaker 1>humble beginnings and want to really create that American dream.

1:32:32.000 --> 1:32:33.800
<v Speaker 1>And we have to be able to dream and feel

1:32:33.840 --> 1:32:38.479
<v Speaker 1>a little woo to do that. However, just the dreaming,

1:32:38.720 --> 1:32:41.599
<v Speaker 1>that's the beginning, but then you have to actually take action,

1:32:41.760 --> 1:32:45.639
<v Speaker 1>and to take action that requires knowledge and empowering yourself

1:32:45.680 --> 1:32:49.280
<v Speaker 1>to understand how finances actually work. And for example, in

1:32:49.360 --> 1:32:52.360
<v Speaker 1>the book, I teach a very concrete concept called the

1:32:52.439 --> 1:32:55.760
<v Speaker 1>minimum investing rate, So that's knowing how much money you

1:32:55.880 --> 1:32:59.639
<v Speaker 1>need to be investing, not just saving, but investing every

1:32:59.720 --> 1:33:02.479
<v Speaker 1>single a month in order to retire when you want

1:33:02.560 --> 1:33:05.120
<v Speaker 1>to and have the kind of lifestyle that you want

1:33:05.160 --> 1:33:08.080
<v Speaker 1>to have in retirement. So it's not just dreaming about

1:33:08.200 --> 1:33:11.760
<v Speaker 1>the ideal retirement, but getting really practical and tangible with

1:33:11.880 --> 1:33:14.200
<v Speaker 1>the how well you know, I've got to say Scarlet,

1:33:14.320 --> 1:33:16.759
<v Speaker 1>and I've got family members like have done these financial

1:33:16.880 --> 1:33:18.920
<v Speaker 1>vision boards right and just kind of checked them off

1:33:18.960 --> 1:33:22.400
<v Speaker 1>whether it's college education, whether it's a beach house or

1:33:22.400 --> 1:33:24.240
<v Speaker 1>a new car or whatever, you know, and kind of

1:33:24.560 --> 1:33:27.080
<v Speaker 1>helping to keep them focused. But it does seem like

1:33:27.280 --> 1:33:31.280
<v Speaker 1>sometimes it's tough to invest and then also kind of live.

1:33:31.760 --> 1:33:34.000
<v Speaker 1>So what is how do you get your head around that?

1:33:34.160 --> 1:33:37.639
<v Speaker 1>What's your advice on that? My advice is to start

1:33:38.040 --> 1:33:40.400
<v Speaker 1>where you are, so meet yourself where you are and

1:33:40.560 --> 1:33:43.280
<v Speaker 1>do what you can, but you also have that long

1:33:43.400 --> 1:33:45.640
<v Speaker 1>term goal in mind and you can work towards that

1:33:45.880 --> 1:33:49.719
<v Speaker 1>over time. So for me, when I graduated from law school,

1:33:49.760 --> 1:33:51.600
<v Speaker 1>I went into public interests. I was a banking and

1:33:51.640 --> 1:33:55.120
<v Speaker 1>finance attorney, was speaking sixty dollars a year, but I

1:33:55.240 --> 1:33:58.080
<v Speaker 1>made the decision the commitment that I needed to start investing.

1:33:58.160 --> 1:34:02.000
<v Speaker 1>So I started investing fifty dollars a paycheck, and ten

1:34:02.120 --> 1:34:05.559
<v Speaker 1>years later that fifty dollars turned into over five hundred

1:34:05.640 --> 1:34:09.360
<v Speaker 1>thousand dollars in my nesting. And that's the power of compounding,

1:34:09.680 --> 1:34:13.080
<v Speaker 1>but also slowly increasing the amount that I was investing

1:34:13.200 --> 1:34:15.720
<v Speaker 1>over time. And you also talk a lot about the

1:34:15.760 --> 1:34:18.360
<v Speaker 1>importance of knowing your numbers, Scarlett, which I thought was

1:34:18.400 --> 1:34:21.760
<v Speaker 1>really critical. Uh, can you talk about why that is

1:34:21.840 --> 1:34:26.000
<v Speaker 1>so important and what that looks like in practice. Well,

1:34:26.160 --> 1:34:28.160
<v Speaker 1>we all have a tendency to do what I call

1:34:28.640 --> 1:34:32.800
<v Speaker 1>mental money math, where we think that our finances look

1:34:32.840 --> 1:34:34.880
<v Speaker 1>a certain way and we think that we spend a

1:34:34.960 --> 1:34:38.360
<v Speaker 1>certain way, but we don't actually know. And when you

1:34:38.520 --> 1:34:40.800
<v Speaker 1>know your numbers, you know how much you're bringing in,

1:34:41.000 --> 1:34:44.240
<v Speaker 1>how much you're paying in taxes for insurance, how much

1:34:44.280 --> 1:34:47.160
<v Speaker 1>you're actually investing, then you can make sure that you're

1:34:47.200 --> 1:34:50.560
<v Speaker 1>really on track to hit all of your savings and

1:34:50.680 --> 1:34:53.840
<v Speaker 1>investing and life goals. Like you mentioned, we are in

1:34:54.240 --> 1:34:58.880
<v Speaker 1>this slow silent savings crisis. And the reason is because

1:34:59.000 --> 1:35:02.479
<v Speaker 1>people don't know what the number is that they're trying

1:35:02.520 --> 1:35:05.200
<v Speaker 1>to hit, and so they don't realize that they're falling

1:35:05.280 --> 1:35:09.400
<v Speaker 1>off track until it's frankly a bit late. Actually, Scarlett

1:35:09.400 --> 1:35:10.840
<v Speaker 1>Matte and I were just talking kind of off air

1:35:10.880 --> 1:35:12.439
<v Speaker 1>before we got going, and the whole idea of if

1:35:12.439 --> 1:35:14.640
<v Speaker 1>you start jotting down what you're spending, that's when you're

1:35:14.680 --> 1:35:17.080
<v Speaker 1>kind of blown away because it's so easy, especially living

1:35:17.120 --> 1:35:19.240
<v Speaker 1>in a city, right, Maddie, like New York City, Like

1:35:19.320 --> 1:35:22.080
<v Speaker 1>money just kind of flies off out of your pocket. Yeah,

1:35:22.120 --> 1:35:23.680
<v Speaker 1>there's the joke that you can't leave your house in

1:35:23.680 --> 1:35:26.479
<v Speaker 1>New York City without spending a hundred dollars, right exactly,

1:35:26.880 --> 1:35:29.000
<v Speaker 1>it just gets eaten up. All right, Scarlett just got

1:35:29.040 --> 1:35:30.920
<v Speaker 1>about a minute or so left here. So what's one

1:35:31.000 --> 1:35:32.760
<v Speaker 1>or two pieces of advice if somebody wants to get

1:35:32.840 --> 1:35:35.920
<v Speaker 1>started on this, Well, first of all, grab the book.

1:35:36.000 --> 1:35:38.800
<v Speaker 1>It's a comprehensive system taking you from how you think

1:35:38.840 --> 1:35:42.400
<v Speaker 1>about money to dreaming big to really tactical tactical advice

1:35:42.680 --> 1:35:44.640
<v Speaker 1>to how to manage your finance on a day to

1:35:44.720 --> 1:35:49.120
<v Speaker 1>day basis. But number two, I would just allow yourself,

1:35:49.200 --> 1:35:52.519
<v Speaker 1>give yourself a little grace, right beating yourself up and

1:35:52.720 --> 1:35:55.240
<v Speaker 1>feeling shame. That doesn't make us want to do anything.

1:35:55.320 --> 1:35:57.720
<v Speaker 1>That doesn't motivate us at all. So I want you

1:35:58.200 --> 1:36:01.599
<v Speaker 1>to forgive yourself for the financial decisions that you've made

1:36:01.640 --> 1:36:04.400
<v Speaker 1>in the past and just trust that you have your

1:36:04.439 --> 1:36:06.360
<v Speaker 1>best interests at heart, and then you're going to make

1:36:06.560 --> 1:36:10.040
<v Speaker 1>better financial decisions moving forward. All right, Yeah, and you're

1:36:10.040 --> 1:36:11.880
<v Speaker 1>gonna make mistakes at times, but that doesn't mean you

1:36:11.920 --> 1:36:15.360
<v Speaker 1>don't kind of lose don't lose focus. Basically, Um, Scarlett,

1:36:15.439 --> 1:36:18.639
<v Speaker 1>thank you so much. She is an attorney and entrepreneur.

1:36:18.840 --> 1:36:23.000
<v Speaker 1>Also author Scarlett Cochrane joining us there from North Carolina

1:36:23.120 --> 1:36:25.960
<v Speaker 1>her new book that is out. It's Not About the Money,

1:36:26.200 --> 1:36:28.200
<v Speaker 1>a proven path to building wealth and living the rich

1:36:28.280 --> 1:36:32.960
<v Speaker 1>life that you deserve. This is the Bloomberg Business Week podcast,

1:36:33.200 --> 1:36:37.240
<v Speaker 1>available on Apple, Spotify, and anywhere else you get your podcast.

1:36:37.760 --> 1:36:40.639
<v Speaker 1>Listen live each weekday is starting at two pm Eastern

1:36:40.720 --> 1:36:43.840
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1:36:44.080 --> 1:36:46.760
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1:36:46.840 --> 1:36:50.679
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1:36:50.760 --> 1:36:51.880
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