WEBVTT - Bloomberg Businessweek Weekend - October 25th, 2024

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg Business. Wait inside from the reporters and

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<v Speaker 2>editors who bring you America's most trusted business magazine, plus

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<v Speaker 2>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 2>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 3>Hi, everyone, Welcome to the Bloomberg Business Week Weekend podcast.

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<v Speaker 3>The countdown to election Day. It is on, and as

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<v Speaker 3>we approach the final home stretch to November fifth, we'll

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<v Speaker 3>hear why one outspoken billionaire Trump supporter is now the

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<v Speaker 3>democrats new supervillain.

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<v Speaker 4>We're talking, of course, about.

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<v Speaker 5>Elon and speaking of Elon Musk, big tech earning season

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<v Speaker 5>it is here. Tesla reported a solid quarter. Maybe that's

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<v Speaker 5>an understatement. More in the company's results just a little.

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<v Speaker 3>Later on bit of a surprise, safe to say, okay,

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<v Speaker 3>from Tesla to its Chinese competitor that Elon Musk once mocked.

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<v Speaker 3>We talk next hour on BYD's rise from battery maker

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<v Speaker 3>to auto colossus.

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<v Speaker 5>Plus she's responsible for banking, supervision, consumer protection and fintech

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<v Speaker 5>in Italy. The Deputy Governor of the Bank of Italy

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<v Speaker 5>stops by all.

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<v Speaker 3>Of that to go, and we begin with US politics.

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<v Speaker 3>We are a little over a week away from the

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<v Speaker 3>US presidential election between Donald Trump and Kamala Harris. As

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<v Speaker 3>the nominees enter the final stretch, both are deploying novel tactics,

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<v Speaker 3>from podcast cameos to star studed concerts as both try

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<v Speaker 3>to scrounge up undecided voters and basically win this election.

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<v Speaker 5>Another tactic writing a giant million dollar check to persuade

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<v Speaker 5>voters to turn out. That's what Elon Musk has been doing,

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<v Speaker 5>and it's raised the question from some federal officials as

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<v Speaker 5>to whether or not it's actually legal. The latest federal

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<v Speaker 5>filing show that Musk has poured at least seventy five

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<v Speaker 5>million dollars into his America pack, making him one of

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<v Speaker 5>the top donors overall this cycle, and that.

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<v Speaker 3>Has caught the ire of Democratic voters, who now view

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<v Speaker 3>him as a political supervillain. Bloomberg BusinessWeek national correspondent Josh Green.

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<v Speaker 5>Josh is also the number one New York Times bestselling

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<v Speaker 5>author of Devil's Bargain, Steve benn and Donald Trump in

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<v Speaker 5>the Storming of the Presidency, and more recently, The Rebels

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<v Speaker 5>Elizabeth Warren, Bernie Sanders aoc in the rise of the

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<v Speaker 5>New Left, but.

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<v Speaker 6>In terms of politics, he has become so fiercely identified

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<v Speaker 6>with MAGA and with Donald Trump. The Democrats and liberal

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<v Speaker 6>groups have stood up and taken notice, and he's such

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<v Speaker 6>a polarizing figure and so emblematic. I think of the

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<v Speaker 6>kind of rich, dark money billionaires that liberals like to

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<v Speaker 6>demonize in their political ads that Elon has been popping

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<v Speaker 6>up in more and more ads across the country, whether

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<v Speaker 6>it's from Kamala Harris's campaign, or congressional candidates, or unions

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<v Speaker 6>or liberal super packs, more and more of them are

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<v Speaker 6>featuring Elon in their political ads. A lot of them

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<v Speaker 6>are even featuring the same footage of him in a tuxedo. So,

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<v Speaker 6>as I write in the piece, he's kind of eclipsed

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<v Speaker 6>the kochbra as the leading villain among Democratic ad makers,

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<v Speaker 6>and it's clear that it's resonating with liberal voters.

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<v Speaker 7>Without giving the full piece away, because of course, we

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<v Speaker 7>want everyone to go read Bloomberg Business Week, you know,

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<v Speaker 7>what are some of those tactics that the Democratic parties

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<v Speaker 7>using when they are painting Elon Musk as the super

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<v Speaker 7>villain here? What are they really touching on?

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<v Speaker 6>Well, there are two themes that democratic ad makers really

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<v Speaker 6>key in on, and Elon happens to encompass both of them.

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<v Speaker 8>You know.

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<v Speaker 6>The first is Democrats obviously for decades have been going

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<v Speaker 6>after what they would call, you know, greedy corporate billionaires.

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<v Speaker 6>Elon Musk is the world's richest man, certainly fits that billing.

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<v Speaker 6>The other thing that I think has become more popular

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<v Speaker 6>among liberal ad makers in the time of Trump is

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<v Speaker 6>raising fears of kind of right wing media manipulation, and

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<v Speaker 6>of course Musk, with his ownership of Twitter, also fills

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<v Speaker 6>that bucket. So in a lot of way, he's kind

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<v Speaker 6>of emerged as this cycle's perfect democratic villain. And the

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<v Speaker 6>fact that he arouses such intense emotions and liberals causing

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<v Speaker 6>them either to click and give money or to volunteer

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<v Speaker 6>for democratic campaigns, I think just shows that he's really

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<v Speaker 6>an important new player in politics the cycle in a

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<v Speaker 6>way that most people I don't think would have anticipated

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<v Speaker 6>even a year or two ago. Yeah, I think that's

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<v Speaker 6>certainly fair to say, Josh, you mentioned that it's resonating

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<v Speaker 6>with Democratic donors, with the electorate. What do we know

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<v Speaker 6>about polling in the way that Democrats versus Republicans feel

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<v Speaker 6>about Elon Musk well, perhaps not surprisingly, Elon Musk is

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<v Speaker 6>very very unpopular with Democrats and especially younger liberal Democrats.

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<v Speaker 6>And we know this because the Bloomberg News Morning Consult

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<v Speaker 6>Swing State poll actually went last month and asked people

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<v Speaker 6>about their favorable and unfavorable ratings on Elon Musk the

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<v Speaker 6>same way they would with a politician like Trump or Harris.

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<v Speaker 6>And sure enough, Elon is becoming viewed in much the

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<v Speaker 6>same way that a partisan politician would, where Republicans their

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<v Speaker 6>views of him have improved, a lot of them like

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<v Speaker 6>what they hear from him, where as Democrats, who are

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<v Speaker 6>once very positive about Musk because of his association with

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<v Speaker 6>Tesla and electric cars and environmentalism, now have turned on

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<v Speaker 6>him very sharply. And he's deeply underwater. I think something

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<v Speaker 6>to the extent of seventeen percent are favorable and something

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<v Speaker 6>like seventy nine or eighty percent unfavorable. So he's every

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<v Speaker 6>bit as unpopular or almost as unpopular with Democrats as

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<v Speaker 6>is Donald Trump.

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<v Speaker 7>And what do we know so far about how effective

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<v Speaker 7>it is for the Republican Party to be using Elon

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<v Speaker 7>Musk in a positive light as opposed to the Democratic

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<v Speaker 7>Party kind of using him in negative campaign advertisements.

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<v Speaker 6>Well, it's a great question. I mean, we do have

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<v Speaker 6>some indications that Elon is effective. That Donald Trump's campaign

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<v Speaker 6>sends out literally daily emails offering to sell the Elon

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<v Speaker 6>Musk Dark Mind hat, the black make America Great hat

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<v Speaker 6>that Musk wore his rally with Trump and Butler Pennsylvania.

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<v Speaker 6>A couple of weeks ago. I get a barrage of

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<v Speaker 6>emails from the Trump campaign touting is association with Elon

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<v Speaker 6>or Elon's offer to match funding. And so the Trump

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<v Speaker 6>campaign seems to feel that he's a very effective fundraiser

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<v Speaker 6>because they keep pumping out these emails. So, you know,

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<v Speaker 6>as one of my Democratic sources told me in the piece,

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<v Speaker 6>you know, Elon is basically a walking content factory you

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<v Speaker 6>can't look away from. So I think the story here

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<v Speaker 6>really is that whether you're a Republican campaign or a

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<v Speaker 6>Democratic campaign, Elon Musk has become such a central figure

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<v Speaker 6>that it's advantageous to put him in political ads, whether

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<v Speaker 6>that's touting his association with Donald Trump or attacking his

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<v Speaker 6>association with Donald Trump. It can raise money either way.

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<v Speaker 5>Josh, I think what's notable about this is you know,

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<v Speaker 5>your story comes out on the same day that The

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<v Speaker 5>New York Times writes about how somebody like Jamie Diamond

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<v Speaker 5>over at JP Morgan is supporting Kama Harris, but his

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<v Speaker 5>resident reticent to come out and even say so for

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<v Speaker 5>fear of alienating and people who work for and for

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<v Speaker 5>fear of alienating customers and the like. Elon Musk doesn't

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<v Speaker 5>show any of that fear, and he runs or is

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<v Speaker 5>at the helm of several companies. And you don't often

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<v Speaker 5>see people in positions in business take a stand such

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<v Speaker 5>as Elon Musk is doing. And I wonder what your

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<v Speaker 5>view is on that and what's unique about this case

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<v Speaker 5>and unique about Elon Musk. The Koch brothers certainly had

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<v Speaker 5>the money and they were donating the money, but they

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<v Speaker 5>weren't out there jumping around on stage at rallies.

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<v Speaker 6>Yeah, that's right. Look, the kind of old style democratic

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<v Speaker 6>villain were these reclusive fossil fuel billionaires like the Koch brothers,

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<v Speaker 6>who didn't want to be in the media, didn't want

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<v Speaker 6>to be featured. And you know, now we have this

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<v Speaker 6>new style villain in an Elon Musk, who seems as

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<v Speaker 6>eager to be out there and in front of the

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<v Speaker 6>cameras and being the center of attention as anybody's maid,

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<v Speaker 6>the Democrats job really easy for them. As to why

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<v Speaker 6>Musk has decided to identify himself so strongly with the

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<v Speaker 6>MAGA movement Donald Trump, I really can't say. I mean,

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<v Speaker 6>I know anecdotally and you can see it in the

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<v Speaker 6>polling numbers that we have that liberal Tesla owners are

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<v Speaker 6>very upset about this. Democrats don't like him. Presumably this

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<v Speaker 6>is going to have some effect on the margins of

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<v Speaker 6>his companies, but he has decided for whatever reason, maybe

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<v Speaker 6>because he has so much money, maybe because he's such

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<v Speaker 6>a true believer in Trump and what he stands for

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<v Speaker 6>that he doesn't care and he's going to go out

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<v Speaker 6>and do this anyway. And I think that's one reason

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<v Speaker 6>why Musk has unexpectedly emerged as one of the most

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<v Speaker 6>fascinating figures and my bead of presidential politics. He's a

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<v Speaker 6>new character. He's out there and he's demanding that the

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<v Speaker 6>spotlight be on him, and I think as a result,

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<v Speaker 6>it is on him, and we're seeing all the different

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<v Speaker 6>influences and effects that he can have on a presidential race.

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<v Speaker 7>And of course one of those influences is the money involved.

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<v Speaker 7>Tim had mentioned this. Latest federal filings show that Musk

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<v Speaker 7>has poured at least seventy five million dollars into the

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<v Speaker 7>pack that supports Donald Trump. How does that stack up

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<v Speaker 7>with other donors and then other campaigns that we know

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<v Speaker 7>Musk has been involved in.

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<v Speaker 6>Well, it immediately makes him one of the single largest

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<v Speaker 6>donors in American politics. You know, it's remarkable. Before this cycle,

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<v Speaker 6>he wasn't known as a major donor, and in fact,

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<v Speaker 6>he was kind of reputed among people in DC in

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<v Speaker 6>my world to be kind of a chief skate who

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<v Speaker 6>talked a lot but didn't write a lot of checks. Well,

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<v Speaker 6>now he has decided that he wants to be one

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<v Speaker 6>of the biggest donors in American politics. And I think

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<v Speaker 6>you can see the effect that that's had. Just in

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<v Speaker 6>the opening segment you guys showed of all the clips

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<v Speaker 6>of Trump mentioning Elon Musk, he brings him up again

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<v Speaker 6>and again in public and in private. And so if

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<v Speaker 6>Trump is elected, I think that Musk stands to be

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<v Speaker 6>a very important figure in the Trump administration and that

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<v Speaker 6>he'll essentially have bought himself a level of influence that

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<v Speaker 6>most people, even very very rich people are reluctant to do,

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<v Speaker 6>to try and come out publicly and declare their association

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<v Speaker 6>give this much money. Elon is really plowing new ground

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<v Speaker 6>here and it'll be interesting to see what kind of

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<v Speaker 6>effect that has if Trump makes it back into the

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<v Speaker 6>White House.

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<v Speaker 5>Yeah, I do wonder what he would want to see

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<v Speaker 5>when it comes to his own influence or what he

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<v Speaker 5>would want to do, Which brings me to my next

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<v Speaker 5>question about unions, Josh, because they play a central role

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<v Speaker 5>in your story, and Elon Musk has had a contentious

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<v Speaker 5>relationship with unions given that Tesla is not a union shop,

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<v Speaker 5>and other US automakers are talk a little bit about

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<v Speaker 5>that and what we've heard from unions when it comes

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<v Speaker 5>to Elon Musk.

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<v Speaker 6>Yeah, I started noticing a few weeks ago Elon kind

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<v Speaker 6>of popping up in these political ads, and I remember

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<v Speaker 6>thinking to myself, like, this is not something we would

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<v Speaker 6>have seen before this cycle. So I wound up doing

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<v Speaker 6>a very deep dive looking at the Elon Musk political ads,

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<v Speaker 6>and some of the earliest ones that ran were buy unions.

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<v Speaker 6>The Service Employees International Union was one of the first.

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<v Speaker 6>They had run ads around Elon even before his MAGA

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<v Speaker 6>and Trump associations because he was sort of the personification

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<v Speaker 6>of what they would consider the greedy, corporate union busting boss.

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<v Speaker 6>He was in a big fight with Swedish unions at

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<v Speaker 6>a time, and I think that really kind of gained momentum.

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<v Speaker 8>You know.

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<v Speaker 6>I found other ads from Teamsters against Trump and all

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<v Speaker 6>sorts of local unions using Musk to kind of highlight

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<v Speaker 6>this idea that greedy bosses are screwing union workers and

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<v Speaker 6>Elon Musk sort of stands for everything we're fighting against.

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<v Speaker 6>I talked to one union president for the piece who

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<v Speaker 6>says he Musk is the personification of everything that our

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<v Speaker 6>polling tells us middle class, ordinary workers don't like, and

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<v Speaker 6>so it's very easy for us to feature him in

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<v Speaker 6>our political ads because he tells the story that we're

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<v Speaker 6>trying to tell.

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<v Speaker 5>Hey, Josh, speaking of stories, you wrote the book on

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<v Speaker 5>Steve Bannon, and we'd be remiss if we didn't ask

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<v Speaker 5>you about Steve Bannon and his influence or lack thereof,

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<v Speaker 5>on the election this time around, Given that he's been

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<v Speaker 5>serving a one hundred and twenty day sentence in federal prison.

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<v Speaker 5>He set to be released from that next week, what

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<v Speaker 5>are your thoughts on how Steve Bannon's influence, who had

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<v Speaker 5>such a big one in twenty sixteen, has loomed over

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<v Speaker 5>this cycle.

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<v Speaker 6>You know, it's a great question. I think if you

0:12:24.040 --> 0:12:28.520
<v Speaker 6>look at how outrageous some of the Trump claims have been,

0:12:28.600 --> 0:12:32.360
<v Speaker 6>some of the events, the kind of lack of inhibitions

0:12:32.400 --> 0:12:35.480
<v Speaker 6>that we see in Trump's campaign visa vi what we

0:12:35.480 --> 0:12:38.360
<v Speaker 6>would see from an ordinary Republican candidate. I think a

0:12:38.360 --> 0:12:40.400
<v Speaker 6>lot of that goes back to Bannon and the style

0:12:40.440 --> 0:12:43.640
<v Speaker 6>of politics that he pioneered. From what I understand, he's

0:12:43.640 --> 0:12:45.800
<v Speaker 6>getting released from prison in a week, so he will

0:12:45.800 --> 0:12:47.679
<v Speaker 6>be here for the final week of the campaign. And

0:12:47.720 --> 0:12:50.120
<v Speaker 6>you know, who knows, wouldn't surprise me at all to

0:12:50.160 --> 0:12:53.440
<v Speaker 6>see him out at a Trump campaign rally on stage

0:12:53.440 --> 0:12:56.600
<v Speaker 6>with Donald Trump leading on the crown in the days

0:12:56.600 --> 0:12:58.559
<v Speaker 6>before the election, But we'll have to wait and see.

0:12:59.240 --> 0:13:02.240
<v Speaker 7>We also just gotten news that Donald Trump is expected

0:13:02.280 --> 0:13:05.160
<v Speaker 7>to record an interview with Joe Rogan at his studio

0:13:05.280 --> 0:13:08.440
<v Speaker 7>in Austin, Texas. That's according to Politico. What do you

0:13:08.480 --> 0:13:11.880
<v Speaker 7>make of that? I mean, how effective is going on

0:13:11.920 --> 0:13:15.360
<v Speaker 7>a podcast as big as Joe Rogan's. And the political

0:13:15.400 --> 0:13:17.800
<v Speaker 7>report also said that Kamala Harris is also in talks

0:13:17.840 --> 0:13:20.040
<v Speaker 7>to go on that podcast as well.

0:13:20.160 --> 0:13:22.440
<v Speaker 6>Yeah, look, I mean I think it's smart for both

0:13:22.480 --> 0:13:27.079
<v Speaker 6>candidates from the standpoint that young men in particular tend

0:13:27.160 --> 0:13:30.480
<v Speaker 6>to be low propensity but Trump friendly voters, So Trump

0:13:30.520 --> 0:13:32.520
<v Speaker 6>going on Joe Rogan makes a lot of sense to

0:13:32.600 --> 0:13:35.840
<v Speaker 6>kind of reach these young men and try and motivate

0:13:35.880 --> 0:13:38.400
<v Speaker 6>them to get up off the couch and show up

0:13:38.440 --> 0:13:42.000
<v Speaker 6>at the polls on November fifth. For Harris, I think

0:13:42.000 --> 0:13:44.000
<v Speaker 6>the story is very much the same, is that the

0:13:44.040 --> 0:13:45.960
<v Speaker 6>reason she would go on that show would be to

0:13:46.000 --> 0:13:49.080
<v Speaker 6>try and make a last bid to these young men

0:13:49.320 --> 0:13:52.360
<v Speaker 6>not to go support Donald Trump, but maybe to find

0:13:52.360 --> 0:13:54.880
<v Speaker 6>a reason to support her, or at the very least

0:13:55.280 --> 0:13:58.760
<v Speaker 6>not be so outraged and provoked by her that they

0:13:58.760 --> 0:14:00.599
<v Speaker 6>decide to go vote for Donald Trump. I think for

0:14:00.640 --> 0:14:02.880
<v Speaker 6>a lot of Harris people, they would be fine having

0:14:03.000 --> 0:14:06.000
<v Speaker 6>Joe Rogan's listeners just stay at home, But basically they

0:14:06.040 --> 0:14:08.920
<v Speaker 6>want to fight Trump to a draw when it comes

0:14:08.960 --> 0:14:10.760
<v Speaker 6>to winning the hearts and minds.

0:14:10.440 --> 0:14:11.120
<v Speaker 9>Of young men.

0:14:11.760 --> 0:14:14.679
<v Speaker 6>So it looks like now that Joe Rogan's podcast is

0:14:14.760 --> 0:14:17.160
<v Speaker 6>kind of going to be the arena for that battle

0:14:17.160 --> 0:14:20.640
<v Speaker 6>to be fought, you know, ten fifteen days before voters

0:14:20.640 --> 0:14:21.280
<v Speaker 6>go to the polls.

0:14:21.400 --> 0:14:23.360
<v Speaker 5>Josh, last question. I'm not going to ask you to

0:14:23.360 --> 0:14:26.600
<v Speaker 5>make a prediction here, but given your reporting and what

0:14:26.640 --> 0:14:29.880
<v Speaker 5>you've heard from your visits around the country as you

0:14:29.920 --> 0:14:32.800
<v Speaker 5>report out your stories, is the election indeed as close

0:14:32.800 --> 0:14:33.880
<v Speaker 5>as the polls are telling us?

0:14:34.760 --> 0:14:35.040
<v Speaker 9>Yeah?

0:14:35.080 --> 0:14:37.120
<v Speaker 6>I mean, I've been privy to a lot of private

0:14:37.160 --> 0:14:40.680
<v Speaker 6>polling from Democrats, Democratic groups, and some Republicans over the

0:14:40.760 --> 0:14:43.360
<v Speaker 6>last couple of weeks. Everyone that I've seen shows the

0:14:43.440 --> 0:14:47.080
<v Speaker 6>race to be absolutely as close as the public polls

0:14:47.120 --> 0:14:49.920
<v Speaker 6>that we're seeing. So my assumption is that those polls

0:14:49.960 --> 0:14:51.800
<v Speaker 6>are largely accurate, and that we mean to not know

0:14:51.880 --> 0:14:53.920
<v Speaker 6>for a day or even several days who the winner

0:14:53.920 --> 0:14:54.960
<v Speaker 6>of the election actually is.

0:14:55.320 --> 0:14:57.880
<v Speaker 5>All right, Josh Green, Hopefully we get him one more

0:14:57.880 --> 0:15:01.920
<v Speaker 5>time before polls close two weeks from tonight. Josh, really

0:15:01.920 --> 0:15:04.320
<v Speaker 5>appreciate you taking the time. Josh Green is Bloomberg Business

0:15:04.320 --> 0:15:06.520
<v Speaker 5>with National Corresponding. He's the author of the number one

0:15:06.520 --> 0:15:09.120
<v Speaker 5>New York Times bestseller Devil's Bargain, Steve benn and Donald

0:15:09.160 --> 0:15:11.760
<v Speaker 5>Trump and the Storming of the Presidency. Also The Rebels

0:15:11.800 --> 0:15:14.760
<v Speaker 5>Elizabeth Warren, Bernie Sanders, AFC and the Rise of the

0:15:14.880 --> 0:15:15.440
<v Speaker 5>New Left.

0:15:22.240 --> 0:15:25.760
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:15:25.800 --> 0:15:29.040
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:15:29.080 --> 0:15:31.240
<v Speaker 2>on Apple car Play and then brought Auto with a

0:15:31.280 --> 0:15:35.400
<v Speaker 2>Bloomberg Business Act or watch us Live on YouTube.

0:15:36.440 --> 0:15:39.720
<v Speaker 10>I do want to give some some rough estimate, which

0:15:39.800 --> 0:15:43.640
<v Speaker 10>I think twenty to thirty percent vehicle growth next year,

0:15:45.280 --> 0:15:47.840
<v Speaker 10>you know, notwithstanding negative external events.

0:15:47.960 --> 0:15:50.680
<v Speaker 3>That's Elon Musk from this week's Tesla earnings call, as

0:15:50.680 --> 0:15:53.720
<v Speaker 3>the company reported better than expected profits in the third quarter.

0:15:54.160 --> 0:15:57.040
<v Speaker 3>Now Tesla's shares surge the most in more than three

0:15:57.120 --> 0:16:00.840
<v Speaker 3>years after the carmaker reported surprisingly strong earning and forecast

0:16:01.200 --> 0:16:04.320
<v Speaker 3>as much as thirty percent growth in vehicle sales next year.

0:16:04.400 --> 0:16:06.400
<v Speaker 3>Elon's saying that on the earnings call.

0:16:06.640 --> 0:16:09.440
<v Speaker 5>The third quarter results were boosted by the cybertruk generating

0:16:09.520 --> 0:16:12.760
<v Speaker 5>a profit for the first time, lower material costs and

0:16:12.800 --> 0:16:16.280
<v Speaker 5>expanding energy business, and sales of regulatory credits to automakers

0:16:16.280 --> 0:16:19.600
<v Speaker 5>that need help complying with emission's limits. With more on

0:16:19.640 --> 0:16:22.560
<v Speaker 5>Tesla's surprisingly strong earnings, we were joined by Bloomberg News

0:16:22.560 --> 0:16:24.280
<v Speaker 5>Global Autos editor Craig Trudell.

0:16:24.880 --> 0:16:27.600
<v Speaker 8>Musk was in sort of rare form. I think you know,

0:16:27.400 --> 0:16:31.960
<v Speaker 8>you often can sort of can count on him being

0:16:32.440 --> 0:16:38.040
<v Speaker 8>quite positive, and you know, sometimes he gives people reasons

0:16:38.120 --> 0:16:41.120
<v Speaker 8>to bid the stock up. Other times, you know, he's

0:16:41.240 --> 0:16:47.120
<v Speaker 8>less careful. I think he wasn't necessarily careful. He at

0:16:47.120 --> 0:16:49.280
<v Speaker 8>one point said something about, you know, I'm going to

0:16:49.320 --> 0:16:53.120
<v Speaker 8>take a risk and offer you know, this upbeat outlook

0:16:53.160 --> 0:16:57.080
<v Speaker 8>for next year. He also, you know, sort of couched

0:16:57.080 --> 0:17:02.440
<v Speaker 8>this later on he talked about, you know, his forecast

0:17:02.520 --> 0:17:05.480
<v Speaker 8>for how many cyber cabs they'll make, you know, a

0:17:05.480 --> 0:17:07.919
<v Speaker 8>couple of years out as just his best guesses. So

0:17:09.040 --> 0:17:11.000
<v Speaker 8>that being said, you know, there was a lot to

0:17:11.160 --> 0:17:13.840
<v Speaker 8>like about this quarter in terms of, you know, sort

0:17:13.880 --> 0:17:17.320
<v Speaker 8>of the breadth of what went well. I think expectations

0:17:17.320 --> 0:17:20.399
<v Speaker 8>were quite low in terms of what revenue and earnings

0:17:20.400 --> 0:17:24.040
<v Speaker 8>were going to be, and they beat expectations on a

0:17:24.080 --> 0:17:26.280
<v Speaker 8>lot of metrics, and it was kind of widespread. It

0:17:26.359 --> 0:17:28.520
<v Speaker 8>wasn't just the car business. They're doing well on the

0:17:28.640 --> 0:17:29.680
<v Speaker 8>energy side as well.

0:17:30.040 --> 0:17:30.200
<v Speaker 11>Well.

0:17:30.200 --> 0:17:32.320
<v Speaker 3>That's what I wondered, you know, Craig, is this a

0:17:32.400 --> 0:17:36.080
<v Speaker 3>report where we were all managed so well going into

0:17:36.160 --> 0:17:40.040
<v Speaker 3>it and had very low expectations, and so when Tesla

0:17:40.080 --> 0:17:44.040
<v Speaker 3>comes in stronger than forecast and above those low expectations.

0:17:44.400 --> 0:17:46.679
<v Speaker 4>We were all just like, WHOA really surprised?

0:17:46.840 --> 0:17:49.600
<v Speaker 3>Or is this a report where Tessa the business is

0:17:49.600 --> 0:17:50.840
<v Speaker 3>actually doing well?

0:17:50.880 --> 0:17:52.760
<v Speaker 8>I think it's a little bit of all the above.

0:17:52.800 --> 0:17:55.600
<v Speaker 8>I mean, is it a you know, twenty one percent

0:17:55.720 --> 0:18:00.000
<v Speaker 8>move up in the shares sort of report. I'm sure

0:18:00.080 --> 0:18:01.639
<v Speaker 8>oct by this, but you know, what do I know,

0:18:01.680 --> 0:18:06.320
<v Speaker 8>I'm just a journalist. I think uh, I think it is.

0:18:06.400 --> 0:18:09.560
<v Speaker 8>It is, you know, the case that the stock has

0:18:09.720 --> 0:18:12.520
<v Speaker 8>has gotten, you know, roughed up a little bit the

0:18:12.600 --> 0:18:15.680
<v Speaker 8>last couple of weeks since the ROBOTAXI unveiling. I think

0:18:15.760 --> 0:18:20.440
<v Speaker 8>there was really high expectations going into that because Musk,

0:18:20.560 --> 0:18:24.359
<v Speaker 8>you know, had sort of spent months hyping up you know,

0:18:24.440 --> 0:18:26.840
<v Speaker 8>all the work that they've done on AI and and

0:18:27.119 --> 0:18:30.240
<v Speaker 8>you know years now on on self driving. Uh, and

0:18:30.480 --> 0:18:34.440
<v Speaker 8>we don't actually have you know, necessarily clear indications that

0:18:34.840 --> 0:18:37.840
<v Speaker 8>you know, some of the promises he's made or uh,

0:18:38.119 --> 0:18:41.760
<v Speaker 8>you know predictions that he's made are close. You know,

0:18:41.840 --> 0:18:44.920
<v Speaker 8>you you do. You don't have to look very far

0:18:45.040 --> 0:18:48.479
<v Speaker 8>to see you know, people who use the product that

0:18:48.520 --> 0:18:52.040
<v Speaker 8>the company calls full self driving, you know, acting up

0:18:52.440 --> 0:18:55.800
<v Speaker 8>not working so well. You know, they recognize some revenue

0:18:55.800 --> 0:18:59.600
<v Speaker 8>this past quarter from deferred revenue related to that business.

0:18:59.760 --> 0:19:01.640
<v Speaker 8>And and you know, one of the features that they

0:19:01.760 --> 0:19:07.119
<v Speaker 8>rolled out actually smart Summon, which is an interesting acronym.

0:19:07.560 --> 0:19:10.840
<v Speaker 8>You know, we're seeing reports of people trying to summon

0:19:10.920 --> 0:19:13.720
<v Speaker 8>their cars and parking lots and getting into scrapes, and so,

0:19:14.880 --> 0:19:17.840
<v Speaker 8>you know, there's there's still you know, a lot left

0:19:17.920 --> 0:19:21.679
<v Speaker 8>to be said about you know, just how much longer

0:19:21.760 --> 0:19:24.280
<v Speaker 8>this company, you know, needs to work on this technology

0:19:24.320 --> 0:19:25.520
<v Speaker 8>to get it to where it's safe.

0:19:25.680 --> 0:19:27.639
<v Speaker 5>Hey, Craig, there were a lot of questions ahead of

0:19:27.640 --> 0:19:29.840
<v Speaker 5>the earnings call you about whether or not analysts would

0:19:29.840 --> 0:19:34.840
<v Speaker 5>ask any questions related to Elon Musk's political activities, the

0:19:34.960 --> 0:19:37.680
<v Speaker 5>seventy five million dollars he's given to the America pack

0:19:37.720 --> 0:19:41.359
<v Speaker 5>and support of foreign President Donald Trump during this election cycle.

0:19:42.400 --> 0:19:45.200
<v Speaker 5>What did we hear from Musk on the call about

0:19:45.200 --> 0:19:48.080
<v Speaker 5>a potential second Trump administration? How did he weigh in

0:19:48.119 --> 0:19:48.840
<v Speaker 5>on politics?

0:19:49.240 --> 0:19:51.040
<v Speaker 8>Yeah, it was it was interesting. I think you know,

0:19:51.160 --> 0:19:55.240
<v Speaker 8>Tesla solicits investor questions, you know, going into these calls,

0:19:55.280 --> 0:19:58.359
<v Speaker 8>and there were a lot of questions submitted having to

0:19:58.400 --> 0:20:02.760
<v Speaker 8>do with politics and wanting to you know hear Musk

0:20:03.520 --> 0:20:07.120
<v Speaker 8>address his support for Trump and just how outspoken he's been.

0:20:08.520 --> 0:20:12.000
<v Speaker 8>He didn't utter Trump's name at once, which was a

0:20:12.040 --> 0:20:14.960
<v Speaker 8>little surprising to me. But he did allude to this

0:20:15.080 --> 0:20:17.840
<v Speaker 8>idea of, you know, maybe if he were to be

0:20:18.080 --> 0:20:22.480
<v Speaker 8>appointed the head of the government efficiency department that he

0:20:22.560 --> 0:20:25.639
<v Speaker 8>and Trump talked about on X a while back, and

0:20:25.720 --> 0:20:30.280
<v Speaker 8>maybe he would work on you know, national rules for

0:20:30.840 --> 0:20:34.200
<v Speaker 8>getting robotaxis on the road. So he sort of gave

0:20:34.600 --> 0:20:37.560
<v Speaker 8>investors a little bit of a taste of how he would,

0:20:37.640 --> 0:20:39.760
<v Speaker 8>you know, potentially be able to tip the scales after

0:20:40.800 --> 0:20:43.960
<v Speaker 8>after becoming such a huge benefactor of Donald.

0:20:43.720 --> 0:20:47.359
<v Speaker 3>Trump, investors who wanted something today got better than expected

0:20:47.400 --> 0:20:50.280
<v Speaker 3>profit and guidance for growth on deliveries and deliveries that

0:20:50.359 --> 0:20:53.520
<v Speaker 3>was from Gene Munster over a deep water asset management.

0:20:53.600 --> 0:20:56.199
<v Speaker 3>He said, the long term investors got the golden carrot.

0:20:56.600 --> 0:20:59.480
<v Speaker 3>So is the golden carrot on the delivery numbers?

0:20:59.560 --> 0:20:59.960
<v Speaker 4>Is that what it is?

0:21:00.520 --> 0:21:02.560
<v Speaker 8>I think that was a big one. I mean, you know,

0:21:02.880 --> 0:21:06.360
<v Speaker 8>there's there's I think real legitimate concern as to whether

0:21:06.440 --> 0:21:09.120
<v Speaker 8>or not the company will deliver more cars this year

0:21:09.160 --> 0:21:11.960
<v Speaker 8>than it did last year. You know, through the first

0:21:12.000 --> 0:21:15.920
<v Speaker 8>three quarters of the year that that the deliveries are down,

0:21:16.080 --> 0:21:19.960
<v Speaker 8>and they're going to need a real substantial jump in

0:21:20.040 --> 0:21:23.040
<v Speaker 8>the fourth quarter to get to where they're They're positive.

0:21:23.920 --> 0:21:26.840
<v Speaker 8>I think the company surprised people by saying they do

0:21:26.960 --> 0:21:30.080
<v Speaker 8>expect some slight growth for this year, so they're really

0:21:30.080 --> 0:21:33.280
<v Speaker 8>going to have to finish strong and then twenty to

0:21:33.320 --> 0:21:36.800
<v Speaker 8>thirty percent. I think, you know, that sounds great. I

0:21:36.840 --> 0:21:39.680
<v Speaker 8>didn't necessarily get, you know, a strong sense of how

0:21:39.760 --> 0:21:42.919
<v Speaker 8>exactly this company is going to pull that off, because

0:21:42.960 --> 0:21:46.760
<v Speaker 8>they have not specified what sort of product is coming

0:21:47.480 --> 0:21:50.080
<v Speaker 8>that that could possibly you know, paste that.

0:21:50.400 --> 0:21:53.720
<v Speaker 5>What about the affordable more affordable car that was promised,

0:21:53.720 --> 0:21:55.920
<v Speaker 5>and what was the first half of twenty twenty five.

0:21:56.000 --> 0:21:57.440
<v Speaker 4>Didn't we kind of say something about that.

0:21:57.960 --> 0:22:02.560
<v Speaker 8>He's alluded generally to new vehicles, including more affordable models,

0:22:02.640 --> 0:22:06.200
<v Speaker 8>but what those models are, we have no idea. It's

0:22:06.200 --> 0:22:08.320
<v Speaker 8>not going to be a twenty five thousand dollars Tesla

0:22:08.359 --> 0:22:10.960
<v Speaker 8>with a steering wheel and pedals, because he was very

0:22:11.000 --> 0:22:15.240
<v Speaker 8>dismissive of a question posed about that. So I, you know,

0:22:15.280 --> 0:22:16.840
<v Speaker 8>I think I think it's pretty clear at this point

0:22:16.840 --> 0:22:19.400
<v Speaker 8>they're going to you know, refresh the model Y and

0:22:19.640 --> 0:22:22.119
<v Speaker 8>you know, maybe offer some cheaper versions of of the

0:22:22.119 --> 0:22:24.440
<v Speaker 8>model y and the Model three and are counting on

0:22:25.560 --> 0:22:28.320
<v Speaker 8>you know that that, you know, getting growth going again.

0:22:28.520 --> 0:22:30.359
<v Speaker 5>And we know Carol that steering wheels and pedals are

0:22:30.400 --> 0:22:32.480
<v Speaker 5>not the future.

0:22:31.840 --> 0:22:34.879
<v Speaker 3>So I'm thinking it's a cheaper cyber truck like you

0:22:34.920 --> 0:22:36.280
<v Speaker 3>get into like discounted version.

0:22:36.320 --> 0:22:39.040
<v Speaker 8>I don't know, No, that's definitely coming to it's got too.

0:22:39.200 --> 0:22:40.719
<v Speaker 4>Yeah, good stuff.

0:22:41.040 --> 0:22:43.399
<v Speaker 3>Craig Drudale, Thank you so much, Global Autos editor at

0:22:43.440 --> 0:22:46.639
<v Speaker 3>Bloomberg News. Joining us from our bureau in London.

0:22:47.040 --> 0:22:47.280
<v Speaker 12>Now.

0:22:47.359 --> 0:22:52.040
<v Speaker 3>One especially vocal Tesla shareholder, cyber truck owner, and frequent

0:22:52.080 --> 0:22:55.240
<v Speaker 3>guest on our air is Ross Gerber. He's the co founder,

0:22:55.320 --> 0:22:59.600
<v Speaker 3>president CEO Gerbert Kawasaki Wealth and investment management. Ross in

0:22:59.600 --> 0:23:02.719
<v Speaker 3>recent has expressed doubts about Tesla's ability to meet its

0:23:02.800 --> 0:23:06.760
<v Speaker 3>sales goals, dismissing bullish claims about the company's robotics and

0:23:06.800 --> 0:23:10.280
<v Speaker 3>self driving technology. Well, he joined us right after Tesla's

0:23:10.359 --> 0:23:12.280
<v Speaker 3>latest earnings release on Wednesday.

0:23:12.880 --> 0:23:16.439
<v Speaker 13>You know, really Tesla runs into the problem of cannibalizing

0:23:16.520 --> 0:23:19.720
<v Speaker 13>its other cars, and that I think is what's causing

0:23:19.800 --> 0:23:21.840
<v Speaker 13>them to pause. Now, what I've been saying is if

0:23:22.040 --> 0:23:24.480
<v Speaker 13>they would have put a steering wheel on that robocab.

0:23:24.760 --> 0:23:25.760
<v Speaker 9>It would have been a much.

0:23:25.560 --> 0:23:29.959
<v Speaker 13>More exciting launch for me and I think for customers

0:23:30.480 --> 0:23:33.240
<v Speaker 13>knowing that this two seater, cheaper car could be something

0:23:33.280 --> 0:23:36.320
<v Speaker 13>we could actually just buy and drive. The robotaxi business

0:23:36.359 --> 0:23:38.600
<v Speaker 13>is not a business that I'm excited about. It's not

0:23:38.680 --> 0:23:41.240
<v Speaker 13>really what I think Tesla should be doing. There already

0:23:41.280 --> 0:23:45.120
<v Speaker 13>are robotaxes that exist called Weimo, and Uber is already

0:23:45.119 --> 0:23:49.000
<v Speaker 13>the master of transportation. So to me, Tesla should be

0:23:49.000 --> 0:23:52.200
<v Speaker 13>selling EV's focusing on making great evs with great software

0:23:52.960 --> 0:23:56.080
<v Speaker 13>and not trying to pivot into being some sort of

0:23:56.160 --> 0:23:59.000
<v Speaker 13>robo taxi company. But you know, once again, I think

0:23:59.000 --> 0:24:00.640
<v Speaker 13>people want to buy the car, and if they worried

0:24:00.680 --> 0:24:02.520
<v Speaker 13>about selling the cars, they'll do just fine.

0:24:02.760 --> 0:24:08.200
<v Speaker 5>Russ elon Musk and politics. He's donated, He's one of

0:24:08.240 --> 0:24:12.240
<v Speaker 5>the largest donors to the Trump candidacy, to the Trump campaign.

0:24:12.680 --> 0:24:16.120
<v Speaker 5>He's got his America Political Action Committee as super Pack,

0:24:16.880 --> 0:24:21.400
<v Speaker 5>He's become incredibly active. I'm wondering, from the perspective of business,

0:24:21.600 --> 0:24:25.040
<v Speaker 5>if in a time when we're so divided as a nation,

0:24:25.760 --> 0:24:28.360
<v Speaker 5>if taking such a clear stance and doing so much

0:24:28.400 --> 0:24:30.960
<v Speaker 5>to elect one candidate is a risk to the company.

0:24:33.200 --> 0:24:36.960
<v Speaker 9>Yes, of course, you know why are you laugh strategic?

0:24:37.880 --> 0:24:41.120
<v Speaker 13>Well, because I think it's an absurd risk to put

0:24:41.160 --> 0:24:45.439
<v Speaker 13>your company in that you could avoid. Right, So, you know,

0:24:45.680 --> 0:24:47.960
<v Speaker 13>I've personally tried to stay out of this election. I

0:24:47.960 --> 0:24:51.560
<v Speaker 13>don't get any positive from my clients expressing my liberal opinions,

0:24:51.560 --> 0:24:54.160
<v Speaker 13>which are liberal, and you know, I think people who

0:24:54.200 --> 0:24:57.080
<v Speaker 13>work at my firm know that. And but you know,

0:24:57.160 --> 0:25:00.000
<v Speaker 13>as a business person, it doesn't really serve. My purpose

0:25:00.160 --> 0:25:03.760
<v Speaker 13>has to espouse my liberal beliefs on everybody. And that said,

0:25:04.320 --> 0:25:07.520
<v Speaker 13>Elon's extremely right wing beliefs turn.

0:25:07.320 --> 0:25:08.600
<v Speaker 9>Off a lot of his core demo.

0:25:08.680 --> 0:25:11.000
<v Speaker 13>Now a lot of people don't believe that's happening, but

0:25:11.160 --> 0:25:12.879
<v Speaker 13>I mean, look at what the effort they have to

0:25:12.920 --> 0:25:15.320
<v Speaker 13>do to sell a car today, and they still refuse

0:25:15.359 --> 0:25:16.080
<v Speaker 13>to advertise.

0:25:16.160 --> 0:25:20.200
<v Speaker 9>So taking this stance for Elon is kind.

0:25:20.040 --> 0:25:23.159
<v Speaker 13>Of a lose lose for TESLA because if Trump wins,

0:25:23.280 --> 0:25:25.920
<v Speaker 13>he doesn't give a crap about EV's. He supports oil,

0:25:26.160 --> 0:25:28.280
<v Speaker 13>and Elon's gonna learn about Trump, which.

0:25:28.080 --> 0:25:30.720
<v Speaker 9>Is that he's a liar. And so all this.

0:25:30.720 --> 0:25:33.399
<v Speaker 13>Money Elon's putting into Trump to hopefully have some power,

0:25:35.440 --> 0:25:36.920
<v Speaker 13>he's gonna learn the hard.

0:25:36.720 --> 0:25:39.399
<v Speaker 9>Way about Trump. Just asked Juliani.

0:25:39.760 --> 0:25:44.159
<v Speaker 13>So that's a lose, and if Trump loses, it's a

0:25:44.280 --> 0:25:48.520
<v Speaker 13>disaster for Elon just personally and for his personal brand

0:25:48.760 --> 0:25:51.480
<v Speaker 13>and for everything that he's been working on. And it

0:25:51.560 --> 0:25:54.800
<v Speaker 13>really puts Tesla in a tough position because the administration

0:25:54.920 --> 0:25:57.240
<v Speaker 13>isn't going to do anything to help them, that's for sure.

0:25:57.880 --> 0:26:00.960
<v Speaker 9>So I don't I don't get it other than I guess.

0:26:00.840 --> 0:26:03.560
<v Speaker 13>He thinks the America is in this horrible place, but

0:26:03.600 --> 0:26:06.120
<v Speaker 13>the stock market's hitting all the time highs every day,

0:26:06.160 --> 0:26:08.040
<v Speaker 13>and I think America is in a wonderful place.

0:26:08.200 --> 0:26:10.080
<v Speaker 9>But it's all a matter of perception.

0:26:09.800 --> 0:26:10.040
<v Speaker 2>You know.

0:26:10.480 --> 0:26:14.240
<v Speaker 13>And I think this is the most political I've ever

0:26:14.280 --> 0:26:16.240
<v Speaker 13>seen a CEO. And that's one of the reasons we've

0:26:16.280 --> 0:26:18.560
<v Speaker 13>lowered our position in Tesla is we do think it

0:26:18.600 --> 0:26:22.520
<v Speaker 13>affects sales and affects the brand and ultimately margins. And

0:26:22.800 --> 0:26:25.800
<v Speaker 13>we're excited about margins going up instead of going down

0:26:25.920 --> 0:26:28.879
<v Speaker 13>for a quarter, which is great news, you know. But

0:26:29.000 --> 0:26:31.560
<v Speaker 13>this is coming from the fact that the car market

0:26:31.640 --> 0:26:34.359
<v Speaker 13>is so difficult that the cost of goods has gone down,

0:26:34.680 --> 0:26:37.439
<v Speaker 13>not because Tesla is making more margin because people are

0:26:37.440 --> 0:26:39.040
<v Speaker 13>willing to pay more for a Tesla.

0:26:39.080 --> 0:26:41.040
<v Speaker 14>I want to talk a little bit more about Elon Musk.

0:26:41.240 --> 0:26:44.240
<v Speaker 14>Matt Levine calls it the attention auction that you know,

0:26:44.440 --> 0:26:48.760
<v Speaker 14>there's just a lot of things competing for Elon Musk's attention.

0:26:48.960 --> 0:26:51.480
<v Speaker 14>And this has been discussed before, but I am curious

0:26:51.480 --> 0:26:55.119
<v Speaker 14>to hear your opinion on whether or not the fact

0:26:55.119 --> 0:26:58.800
<v Speaker 14>that Elon is so spread thin across these different efforts,

0:26:59.400 --> 0:27:01.600
<v Speaker 14>how you're thinking about that when you're taking to look

0:27:01.600 --> 0:27:02.560
<v Speaker 14>at your Tesla position.

0:27:02.840 --> 0:27:04.720
<v Speaker 13>Well, this is probably one of the biggest issues is

0:27:04.760 --> 0:27:07.760
<v Speaker 13>he doesn't actually work at Tesla, you know, like you

0:27:07.800 --> 0:27:09.840
<v Speaker 13>go to work at your company every day like you're

0:27:09.920 --> 0:27:12.679
<v Speaker 13>the CEO. I don't think that's what he does. And

0:27:12.720 --> 0:27:15.080
<v Speaker 13>I don't think that Elon gets more hours in a

0:27:15.200 --> 0:27:17.560
<v Speaker 13>day than you or I do. So he might sleep

0:27:17.600 --> 0:27:20.159
<v Speaker 13>four hours a day instead of eight. Well, you know

0:27:20.200 --> 0:27:21.840
<v Speaker 13>where that's going to cost him is at the end

0:27:21.840 --> 0:27:24.359
<v Speaker 13>of his life, because it's super unhealthy to live this way.

0:27:24.840 --> 0:27:27.000
<v Speaker 13>You know, there's this sort of opinion that he has

0:27:27.040 --> 0:27:28.440
<v Speaker 13>some superhuman ability.

0:27:28.560 --> 0:27:29.200
<v Speaker 9>He doesn't.

0:27:29.359 --> 0:27:32.480
<v Speaker 13>So he's spending his time working for Trump right now

0:27:32.680 --> 0:27:35.240
<v Speaker 13>and doing politics, and he's not spending his time getting

0:27:35.240 --> 0:27:37.960
<v Speaker 13>his full self driving to work, which it still doesn't

0:27:38.119 --> 0:27:42.360
<v Speaker 13>and So this is really the issue for me as

0:27:42.359 --> 0:27:46.639
<v Speaker 13>an investor is shouldn't the CEO of your company be

0:27:46.800 --> 0:27:50.399
<v Speaker 13>there every day or at least pretend you know. And

0:27:50.440 --> 0:27:53.760
<v Speaker 13>then the second thing is this lack of attention to

0:27:53.840 --> 0:27:56.480
<v Speaker 13>what needs to be done, especially around full self driving,

0:27:57.080 --> 0:28:00.879
<v Speaker 13>is really troubling to me because I s the competitors

0:28:00.920 --> 0:28:03.359
<v Speaker 13>all over the place. I'm here in the heart of

0:28:03.520 --> 0:28:07.800
<v Speaker 13>EVS right and Rohogue Taxis, They're everywhere. They're working in

0:28:07.840 --> 0:28:11.440
<v Speaker 13>extremely difficult driving conditions that my cyber truck can't even

0:28:11.440 --> 0:28:12.520
<v Speaker 13>come close to tackling.

0:28:12.720 --> 0:28:13.040
<v Speaker 9>Russ.

0:28:13.240 --> 0:28:15.600
<v Speaker 5>We gotta go, We gotta let you get back to work.

0:28:15.600 --> 0:28:17.960
<v Speaker 5>We do appreciate you joining us. It's always a treat

0:28:18.080 --> 0:28:20.639
<v Speaker 5>when you are on our air, especially post test learnings.

0:28:20.680 --> 0:28:23.600
<v Speaker 5>Ros Gerber, President and CEO of at Gerber Kawasaki Wealth

0:28:23.600 --> 0:28:24.600
<v Speaker 5>and Investment Management.

0:28:26.160 --> 0:28:30.000
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

0:28:30.119 --> 0:28:33.320
<v Speaker 2>each weekday starting at two pm Eastern on applecar Play

0:28:33.320 --> 0:28:36.200
<v Speaker 2>and Android Auto with the Bloomberg Business ad. You can

0:28:36.240 --> 0:28:39.479
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:28:39.520 --> 0:28:43.160
<v Speaker 2>York station, Just say Alexa Play Bloomberg eleven thirty.

0:28:44.360 --> 0:28:45.320
<v Speaker 4>The European Central.

0:28:45.120 --> 0:28:47.960
<v Speaker 3>Bank recently lowered interest rates for the third time this year,

0:28:48.000 --> 0:28:50.840
<v Speaker 3>as a hastier retreat in inflation allowed it to offer

0:28:50.880 --> 0:28:54.160
<v Speaker 3>support to the regions stuttering economy. We got some economic

0:28:54.240 --> 0:28:57.360
<v Speaker 3>news just this past week on showing how the European

0:28:57.480 --> 0:28:58.440
<v Speaker 3>Zone is struggling.

0:28:58.720 --> 0:29:02.440
<v Speaker 5>In an exclusive interview with Bloomberg, ECB President Christine Laguard

0:29:02.600 --> 0:29:05.240
<v Speaker 5>said that the bank is quote rather satisfied with how

0:29:05.280 --> 0:29:08.200
<v Speaker 5>inflation is slowed below the two percent goal, but that

0:29:08.240 --> 0:29:12.520
<v Speaker 5>the central bank will remain cautious and not jump to conclusions.

0:29:12.080 --> 0:29:12.720
<v Speaker 9>At the moment.

0:29:13.440 --> 0:29:16.440
<v Speaker 15>We are not totally unhappy with what we see, because

0:29:16.520 --> 0:29:21.560
<v Speaker 15>it looks very much that inflation is on the right

0:29:21.680 --> 0:29:25.560
<v Speaker 15>track of des inflation. You know, we come from very

0:29:25.640 --> 0:29:28.680
<v Speaker 15>high numbers, as high on average for the whole of

0:29:28.680 --> 0:29:31.640
<v Speaker 15>the euro Area as ten point six percent, and the

0:29:31.760 --> 0:29:35.280
<v Speaker 15>latest reading we had for the inflation in September was

0:29:35.320 --> 0:29:37.720
<v Speaker 15>one point seven and we're looking at a lot of

0:29:37.840 --> 0:29:42.040
<v Speaker 15>data to make sure that this disinflationary process continues to

0:29:42.600 --> 0:29:43.520
<v Speaker 15>be well on track.

0:29:43.720 --> 0:29:47.480
<v Speaker 5>That was ECB President Christine Laguard speaking exclusively on Bloomberg

0:29:47.480 --> 0:29:49.000
<v Speaker 5>Television in Washington, DC.

0:29:49.280 --> 0:29:51.200
<v Speaker 3>We get another view on the rate cut in Europe

0:29:51.240 --> 0:29:54.880
<v Speaker 3>and more specifically the Economy of Italy with Alessandra Petzeli,

0:29:55.240 --> 0:29:58.560
<v Speaker 3>Deputy Governor of the Bank of Italy, the Italian Central Bank,

0:29:58.800 --> 0:30:01.680
<v Speaker 3>Tim and Bloomberg's Emily Garfao began with her take on

0:30:01.720 --> 0:30:03.960
<v Speaker 3>the easy B decision to cut rates.

0:30:04.160 --> 0:30:07.560
<v Speaker 1>Well, you know, this was expected and follows like a

0:30:07.720 --> 0:30:12.320
<v Speaker 1>very long period of unprecedent, you know, very restricting monetary

0:30:12.960 --> 0:30:16.400
<v Speaker 1>policy that has taken us in twenty two, twenty twenty

0:30:16.400 --> 0:30:21.520
<v Speaker 1>three to an unprecedent situation since the Euro was introduced.

0:30:21.680 --> 0:30:25.240
<v Speaker 1>So it's kind of too soon to understand how this

0:30:25.400 --> 0:30:29.160
<v Speaker 1>is going to play both for the banks and for

0:30:29.600 --> 0:30:32.160
<v Speaker 1>the system as a whole, for the stability of the

0:30:32.200 --> 0:30:34.760
<v Speaker 1>system as a whole. What I can say is that

0:30:35.040 --> 0:30:38.520
<v Speaker 1>this was expected and we will see how, you know,

0:30:38.600 --> 0:30:41.960
<v Speaker 1>it goes forward in the coming in the coming months.

0:30:42.200 --> 0:30:46.160
<v Speaker 1>It's clearly a situation that has been quite interesting for

0:30:46.240 --> 0:30:51.240
<v Speaker 1>supervisors like myself. You know, we have been seeing banks

0:30:51.440 --> 0:30:56.480
<v Speaker 1>making unprecedent you know, profitability in the last years they

0:30:56.520 --> 0:31:00.320
<v Speaker 1>were rocket high, something that has of course created a

0:31:00.520 --> 0:31:04.880
<v Speaker 1>number of impacts on the market and has you know,

0:31:04.960 --> 0:31:07.840
<v Speaker 1>given us supervisors a little bit of a red flag

0:31:07.920 --> 0:31:11.040
<v Speaker 1>on everything like credit risk and liquidity risks, and these

0:31:11.040 --> 0:31:15.520
<v Speaker 1>are the issues that right now are under the limelight

0:31:15.880 --> 0:31:20.400
<v Speaker 1>of the ECB, the SSM ARM which is the supervisory

0:31:20.520 --> 0:31:23.960
<v Speaker 1>arm of the ECB, and of course also Bankavilly that

0:31:24.040 --> 0:31:27.760
<v Speaker 1>participates to the Eurozone and in the SSM.

0:31:28.560 --> 0:31:29.160
<v Speaker 16>So we know that.

0:31:29.200 --> 0:31:32.680
<v Speaker 7>Spain, Portugal and Greece are among the countries helping you

0:31:32.760 --> 0:31:35.760
<v Speaker 7>keep the Eurozone out of a recession. How would you

0:31:35.800 --> 0:31:38.080
<v Speaker 7>describe the economy in Italy right now?

0:31:38.480 --> 0:31:42.000
<v Speaker 1>Well, right now, what we've see is, you know, the

0:31:42.400 --> 0:31:47.400
<v Speaker 1>economy is being growing, you know, in the last year.

0:31:48.320 --> 0:31:52.320
<v Speaker 1>Predictions are you also bring in the economy steadily? I

0:31:52.320 --> 0:31:56.800
<v Speaker 1>would say for the next quarters. The banking system in

0:31:56.840 --> 0:32:01.719
<v Speaker 1>Italy has been strong and able to support the economy

0:32:02.120 --> 0:32:04.240
<v Speaker 1>and this is due to the work that has been

0:32:04.320 --> 0:32:07.200
<v Speaker 1>done you know in the last years together with the SSM.

0:32:07.360 --> 0:32:11.360
<v Speaker 1>So we are looking at a you know, with some

0:32:11.480 --> 0:32:17.880
<v Speaker 1>positive expectations as to the next quarter. So I would

0:32:17.920 --> 0:32:21.719
<v Speaker 1>say that between Spain, Portugal and Italy we are you know,

0:32:21.880 --> 0:32:23.600
<v Speaker 1>pretty much going the same direction.

0:32:23.960 --> 0:32:25.840
<v Speaker 5>What about when it comes to immigration in Italy? This

0:32:25.880 --> 0:32:28.080
<v Speaker 5>is a huge topic here in the US ahead of

0:32:28.080 --> 0:32:32.320
<v Speaker 5>the presidential election. Our own Bloomberg News team reporting that

0:32:32.920 --> 0:32:35.680
<v Speaker 5>Italian prime Minister Georgia Milleni's government is pushing through new

0:32:35.760 --> 0:32:39.720
<v Speaker 5>legislation to salvage it's controversial plan to curb undocumented migration

0:32:39.800 --> 0:32:42.200
<v Speaker 5>after a court blocked to project to divert asylum seekers

0:32:42.200 --> 0:32:44.680
<v Speaker 5>to Albania. How do you look at the role of

0:32:45.320 --> 0:32:48.880
<v Speaker 5>documented migrants and undocumented migrants in the Italian economy?

0:32:49.480 --> 0:32:53.719
<v Speaker 1>Well, this is a very difficult issue. That's difficult in Italy,

0:32:53.840 --> 0:32:56.360
<v Speaker 1>you know, given also the fact that we have you know,

0:32:56.840 --> 0:33:01.200
<v Speaker 1>borders that can be easily sort of you know, penetrated,

0:33:01.280 --> 0:33:04.080
<v Speaker 1>and this has been an issue that has been brought

0:33:04.120 --> 0:33:08.400
<v Speaker 1>by a number of our governments at European and European level.

0:33:09.800 --> 0:33:12.480
<v Speaker 1>We are I think that we are in the process

0:33:12.560 --> 0:33:16.400
<v Speaker 1>of understanding and this issue of you know, uh, catering

0:33:16.480 --> 0:33:21.720
<v Speaker 1>for external aid in order to take care of undocumented

0:33:22.040 --> 0:33:25.600
<v Speaker 1>immigrants is on you know, as being very much wanted

0:33:25.600 --> 0:33:28.320
<v Speaker 1>by the government. I know there right now there are

0:33:28.400 --> 0:33:32.200
<v Speaker 1>some you know issues that also concern the judiciary is

0:33:32.240 --> 0:33:35.720
<v Speaker 1>a ve that decision. We will see how it goes.

0:33:35.800 --> 0:33:39.160
<v Speaker 1>For sure, this is something that europe needs to tackle together.

0:33:39.440 --> 0:33:42.160
<v Speaker 1>I mean, there isn't something that every single country can

0:33:42.200 --> 0:33:45.160
<v Speaker 1>take care of. It's a European issue. As much as

0:33:45.160 --> 0:33:46.240
<v Speaker 1>an American issue.

0:33:46.320 --> 0:33:48.480
<v Speaker 5>That's it's interesting, That's that's my question because here in

0:33:48.480 --> 0:33:50.320
<v Speaker 5>the US, I think it's fair to say, and you know,

0:33:50.320 --> 0:33:52.680
<v Speaker 5>a lot of economist would agree, there are jobs that

0:33:53.520 --> 0:33:56.560
<v Speaker 5>Americans who are born in America typically will not do

0:33:57.080 --> 0:34:01.240
<v Speaker 5>in the United States, jobs that traditionally go to migrants

0:34:01.240 --> 0:34:05.000
<v Speaker 5>and migrant labor. Do those jobs exist in Italy?

0:34:06.720 --> 0:34:10.000
<v Speaker 1>More and more I would say yes. I think that

0:34:10.480 --> 0:34:13.719
<v Speaker 1>Italians are not, you know, taking those jobs that were

0:34:13.760 --> 0:34:19.239
<v Speaker 1>traditionally there for maybe you know, lower income classes and

0:34:19.320 --> 0:34:24.560
<v Speaker 1>lower income people. It's slowly becoming the same as it

0:34:24.680 --> 0:34:28.640
<v Speaker 1>is here, maybe not with the rhythm and with the

0:34:28.680 --> 0:34:31.239
<v Speaker 1>growth you know, they have seen and experienced in the

0:34:31.800 --> 0:34:32.520
<v Speaker 1>United States.

0:34:34.280 --> 0:34:38.680
<v Speaker 7>I want to pivot to financial regulation because Bloomberg News

0:34:38.760 --> 0:34:42.960
<v Speaker 7>is Laura Nonan had written earlier in October that Germany, France,

0:34:43.239 --> 0:34:46.120
<v Speaker 7>and Italy had urged the EU to show restraint in

0:34:46.200 --> 0:34:51.279
<v Speaker 7>financial roommaking and instead focus on boosting the competitives competitiveness

0:34:51.320 --> 0:34:54.239
<v Speaker 7>of the banking sector. That was the Treasury, and so

0:34:54.280 --> 0:34:57.120
<v Speaker 7>we're wondering if the Bank of Italy kind of shares

0:34:57.280 --> 0:35:00.400
<v Speaker 7>that stance when it comes to balancing competition relation.

0:35:01.080 --> 0:35:03.920
<v Speaker 1>Well, I think that if we look at the last

0:35:03.960 --> 0:35:07.759
<v Speaker 1>couple of years and what happened in Switzerland and what

0:35:07.960 --> 0:35:11.560
<v Speaker 1>happened with the US regional banks, we clearly see that

0:35:11.600 --> 0:35:15.560
<v Speaker 1>there has to be a balance between regulation and competition.

0:35:15.680 --> 0:35:21.080
<v Speaker 1>But regulation is we believe, you know, the most important tool,

0:35:21.120 --> 0:35:24.640
<v Speaker 1>together with supervision in order to keep you know, financial

0:35:24.640 --> 0:35:28.719
<v Speaker 1>stability in the eurosystem. And you know, I think that

0:35:28.800 --> 0:35:34.040
<v Speaker 1>we prove that the full implementation of Basil three has

0:35:34.080 --> 0:35:38.439
<v Speaker 1>given it to supervisors a harmonized set of schemes of

0:35:38.680 --> 0:35:44.080
<v Speaker 1>you know, reporting that has been extremely helpful in the

0:35:44.239 --> 0:35:49.240
<v Speaker 1>years that follow the crisis of twenty oh seven twenty eight. Today,

0:35:49.440 --> 0:35:52.560
<v Speaker 1>if you look at the European banking market, you see that,

0:35:52.600 --> 0:35:55.279
<v Speaker 1>you know, the banks are very stable and able to

0:35:55.320 --> 0:35:58.400
<v Speaker 1>support the economy, and that's exactly the job they should do.

0:35:58.760 --> 0:36:00.840
<v Speaker 5>I want to talk a little bit inv and fintech

0:36:00.880 --> 0:36:04.799
<v Speaker 5>in particular, because here in the United States you have

0:36:05.320 --> 0:36:07.520
<v Speaker 5>regulators trying to figure out the role that fintech should

0:36:07.520 --> 0:36:10.520
<v Speaker 5>play when it comes compared to big banks. For example,

0:36:11.239 --> 0:36:13.040
<v Speaker 5>what do you think the priorities for the next Commission

0:36:13.040 --> 0:36:15.000
<v Speaker 5>should be when it comes to the future of finance

0:36:15.000 --> 0:36:17.440
<v Speaker 5>When it comes to fintech companies that I speak of.

0:36:17.760 --> 0:36:21.800
<v Speaker 1>Well, in Europe, we definitely have to complete the capital

0:36:21.840 --> 0:36:25.279
<v Speaker 1>market union. That is very very instrumental to you know,

0:36:25.440 --> 0:36:28.680
<v Speaker 1>innovation because it creates all the you know, the financial

0:36:29.440 --> 0:36:35.040
<v Speaker 1>tools to finance innovation. What we see happening in Italy

0:36:35.160 --> 0:36:38.239
<v Speaker 1>right now that the competition is shifting, you know, it's

0:36:38.280 --> 0:36:41.560
<v Speaker 1>not among banks anymore, but it's also between banks and

0:36:41.719 --> 0:36:46.400
<v Speaker 1>those tech companies that come from other sides.

0:36:46.239 --> 0:36:50.040
<v Speaker 9>Of other industry. Here in the US, it's the same.

0:36:49.760 --> 0:36:52.080
<v Speaker 1>As in the US, and there's a lot also coming

0:36:52.080 --> 0:36:55.600
<v Speaker 1>from the payment system industry. So if we look at

0:36:55.640 --> 0:36:57.960
<v Speaker 1>the number of licenses that we've been granting in the

0:36:58.000 --> 0:37:02.440
<v Speaker 1>last few years out of like say eighty seven two

0:37:02.600 --> 0:37:05.719
<v Speaker 1>or for banks and eighty five for other type of

0:37:05.760 --> 0:37:11.240
<v Speaker 1>financial institutions. So the thing is really how do banks

0:37:11.280 --> 0:37:14.640
<v Speaker 1>cope with legacy when it comes to the it, you know,

0:37:14.680 --> 0:37:18.879
<v Speaker 1>with it legacy and how also they are entering more

0:37:18.880 --> 0:37:22.160
<v Speaker 1>and more into contracts with third parties, providers that come

0:37:22.200 --> 0:37:26.240
<v Speaker 1>from like tech industry, and they're becoming extremely relevant also

0:37:26.280 --> 0:37:29.960
<v Speaker 1>for the kind of concentration you know, in the European market.

0:37:30.160 --> 0:37:31.480
<v Speaker 5>But do you think your colleagues and do you think

0:37:31.520 --> 0:37:33.840
<v Speaker 5>regulators in Italy are doing the right thing when it

0:37:33.880 --> 0:37:36.080
<v Speaker 5>comes to embracing this technology.

0:37:36.680 --> 0:37:37.000
<v Speaker 15>I think.

0:37:37.080 --> 0:37:39.839
<v Speaker 1>So we have had a lot of changes, you know,

0:37:39.920 --> 0:37:42.520
<v Speaker 1>within our own institution in order to cope with this,

0:37:42.680 --> 0:37:45.400
<v Speaker 1>you know, and created a way to talk to the

0:37:45.480 --> 0:37:49.800
<v Speaker 1>market and understanding of what kind of regulation is needed.

0:37:51.160 --> 0:37:54.160
<v Speaker 1>The European Commission has issued a number of vertical and

0:37:54.200 --> 0:37:58.719
<v Speaker 1>horizontal regulation that are extremely interesting and that we are

0:37:58.760 --> 0:38:03.120
<v Speaker 1>now implementing their and trying to organize sort of innovation

0:38:03.239 --> 0:38:07.040
<v Speaker 1>in a way which does not create instability at the market.

0:38:07.040 --> 0:38:08.880
<v Speaker 1>But at the same time, we don't want to stiffle it.

0:38:09.200 --> 0:38:12.439
<v Speaker 1>We want newcomers, we want innovation, we want to create

0:38:12.520 --> 0:38:13.200
<v Speaker 1>new industry.

0:38:13.719 --> 0:38:16.239
<v Speaker 7>We're talking about fintech and an issue that comes up

0:38:16.239 --> 0:38:20.520
<v Speaker 7>a lot is cybersecurity, and I'm wondering how the ECB

0:38:20.719 --> 0:38:25.960
<v Speaker 7>plays a role in protecting both consumers and corporations, including banks,

0:38:25.960 --> 0:38:27.480
<v Speaker 7>from this emerging threat.

0:38:28.040 --> 0:38:32.320
<v Speaker 1>Well, there are now a couple of peace of legislation

0:38:32.440 --> 0:38:36.200
<v Speaker 1>that have been put together in the EU that look

0:38:36.280 --> 0:38:41.560
<v Speaker 1>after explicity, after a security of infrastructure, and that is

0:38:41.640 --> 0:38:44.160
<v Speaker 1>of course, you know, an issue that concerns banks, but

0:38:44.200 --> 0:38:48.840
<v Speaker 1>concerns also utilities and other important networks of the country.

0:38:49.160 --> 0:38:51.840
<v Speaker 1>The one thing that you know, it's very important. The

0:38:51.960 --> 0:38:54.919
<v Speaker 1>kind of risk that we're looking at is how interconnected

0:38:54.960 --> 0:38:58.439
<v Speaker 1>the platforms are becoming and how this role of third

0:38:58.480 --> 0:39:03.359
<v Speaker 1>party providers are are is you know, increasingly important when

0:39:03.400 --> 0:39:09.320
<v Speaker 1>it comes to create you know, new ability for companies,

0:39:09.320 --> 0:39:12.480
<v Speaker 1>for banks to provide these services. So I think this

0:39:12.600 --> 0:39:17.160
<v Speaker 1>is main top issue on the U legislator agenda and

0:39:17.200 --> 0:39:17.840
<v Speaker 1>on ours.

0:39:18.160 --> 0:39:20.760
<v Speaker 5>We have a story by our team here at Bloomberg

0:39:20.800 --> 0:39:24.360
<v Speaker 5>News about central makers losing sleep over europe souring economies.

0:39:24.400 --> 0:39:28.359
<v Speaker 5>Have another worry looming large, how much more damage Donald

0:39:28.360 --> 0:39:29.920
<v Speaker 5>Trump could cause if he returns to.

0:39:29.840 --> 0:39:30.439
<v Speaker 9>The White House.

0:39:30.680 --> 0:39:32.520
<v Speaker 5>We're two weeks away from the election here in the US.

0:39:32.520 --> 0:39:33.319
<v Speaker 5>How are you watching it?

0:39:33.719 --> 0:39:37.480
<v Speaker 1>Well, you know, we concern like everybody else. And I

0:39:37.520 --> 0:39:40.239
<v Speaker 1>think that you know, one of the issues for US

0:39:40.280 --> 0:39:44.440
<v Speaker 1>regulators is that you know, deregulation will see what happened

0:39:44.440 --> 0:39:46.640
<v Speaker 1>with the US regional banks. You know, there are huge

0:39:46.640 --> 0:39:50.640
<v Speaker 1>banks compared to European size, and you know, the the

0:39:50.719 --> 0:39:54.279
<v Speaker 1>lack of application of Basil three, the sort of like

0:39:54.360 --> 0:40:00.560
<v Speaker 1>the light touch supervision. I think it's something that worries

0:40:00.920 --> 0:40:04.480
<v Speaker 1>the international markets. You know, the you don't need to

0:40:04.520 --> 0:40:09.400
<v Speaker 1>be a non internationally active bank in order to create

0:40:09.400 --> 0:40:13.160
<v Speaker 1>a wave that touches and other countries and other industries.

0:40:13.520 --> 0:40:15.919
<v Speaker 5>So your concern is mostly about regulation when it comes

0:40:15.960 --> 0:40:17.239
<v Speaker 5>to smaller banks in in.

0:40:18.040 --> 0:40:21.880
<v Speaker 1>You know, I would say so, yes, definitely, that is

0:40:21.920 --> 0:40:26.040
<v Speaker 1>an area that has been clearly, you know, something that

0:40:26.200 --> 0:40:30.560
<v Speaker 1>has created concern in last year when you know, Silicon

0:40:30.640 --> 0:40:35.200
<v Speaker 1>Valley Bank and the other regional banks that didn't hit

0:40:35.560 --> 0:40:38.279
<v Speaker 1>the press too much, but we knew about it, and

0:40:38.360 --> 0:40:41.080
<v Speaker 1>this is of course something that we don't know whether

0:40:41.160 --> 0:40:44.439
<v Speaker 1>there can be a contagent, you know, and how that's

0:40:44.480 --> 0:40:47.160
<v Speaker 1>going to work. Also going towards Europe.

0:40:47.400 --> 0:40:50.480
<v Speaker 5>Alessandro Petzzlli, Wuty Governor of the Bank of Italy, the

0:40:50.520 --> 0:40:54.560
<v Speaker 5>Italian Central Bank, Joining us here in the Bloomberg BusinessWeek Studio.

0:41:00.080 --> 0:41:03.600
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:41:03.640 --> 0:41:06.880
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:41:06.920 --> 0:41:09.080
<v Speaker 2>on Apple car Play and then brought auto with a

0:41:09.080 --> 0:41:14.880
<v Speaker 2>Bloomberg Business act or watch us live on YouTube.

0:41:13.840 --> 0:41:15.719
<v Speaker 3>Plenty ahead in our second hour of the weekend edition

0:41:15.760 --> 0:41:19.080
<v Speaker 3>of Bloomberg Business Week, including the high schooler who kind

0:41:19.120 --> 0:41:22.040
<v Speaker 3>of schooled us. He created a method to detect pesticide

0:41:22.040 --> 0:41:26.560
<v Speaker 3>residue on produce using a handheld detector with some AI

0:41:26.640 --> 0:41:29.480
<v Speaker 3>thrown in. We're just kind of liked Tim and I like, wait.

0:41:29.360 --> 0:41:31.279
<v Speaker 4>What how old are you and what did you do?

0:41:32.080 --> 0:41:34.360
<v Speaker 3>I truly every time I wash fruit or eat fruit,

0:41:34.400 --> 0:41:35.959
<v Speaker 3>I think about his device and I want one.

0:41:36.000 --> 0:41:36.280
<v Speaker 9>Plus.

0:41:36.320 --> 0:41:39.080
<v Speaker 5>The CEO of Lifewave Foods on tapping into the dairy

0:41:39.120 --> 0:41:42.760
<v Speaker 5>resurgence among American consumers Kafir anyone.

0:41:43.400 --> 0:41:44.920
<v Speaker 4>I know, we're still trying to figure it out, right, it.

0:41:44.880 --> 0:41:46.319
<v Speaker 5>Doesn't matter how you say it, it tastes good.

0:41:46.400 --> 0:41:47.239
<v Speaker 4>Ah, nice to know.

0:41:47.520 --> 0:41:50.000
<v Speaker 3>First up this hour, what started as a battery company

0:41:50.000 --> 0:41:53.320
<v Speaker 3>in the nineteen nineties in Shenzhen, China has now become

0:41:53.360 --> 0:41:55.520
<v Speaker 3>one of the best selling EV brands in the world.

0:41:55.800 --> 0:41:58.040
<v Speaker 3>And now the company's startling growth has made it a

0:41:58.120 --> 0:42:01.640
<v Speaker 3>global player, and that has sparked tariffs from the United

0:42:01.640 --> 0:42:03.000
<v Speaker 3>States and the EU.

0:42:03.280 --> 0:42:06.640
<v Speaker 5>We're talking about Chinese automaker BYD it stands for build

0:42:06.719 --> 0:42:09.520
<v Speaker 5>your Dreams. They've seem to figure out something that the

0:42:09.560 --> 0:42:11.400
<v Speaker 5>rest of the auto industry has not, and that is

0:42:11.600 --> 0:42:14.160
<v Speaker 5>build an affordable EV for the masses.

0:42:14.239 --> 0:42:14.399
<v Speaker 7>Yeah.

0:42:14.440 --> 0:42:16.600
<v Speaker 4>I feel like that's the holy grail in the EV world.

0:42:16.840 --> 0:42:17.160
<v Speaker 1>All right.

0:42:17.200 --> 0:42:19.319
<v Speaker 3>This story is the cover of the upcoming new issue

0:42:19.320 --> 0:42:22.280
<v Speaker 3>of Bloomberg Business Week and is by Bloomberg News auto

0:42:22.360 --> 0:42:25.760
<v Speaker 3>reporter Gabby Coppola, who joined us to talk about China's

0:42:25.880 --> 0:42:26.759
<v Speaker 3>EV offensive.

0:42:26.920 --> 0:42:30.360
<v Speaker 12>BYD was founded in nineteen ninety five by a Chinese

0:42:30.360 --> 0:42:33.719
<v Speaker 12>battery scientist named Wan Chuanfu. And he was basically a

0:42:33.719 --> 0:42:37.200
<v Speaker 12>government researcher who saw that, you know, the Chinese economy

0:42:37.239 --> 0:42:39.400
<v Speaker 12>was opening up, and he decided to move to Shenzen

0:42:39.520 --> 0:42:41.640
<v Speaker 12>in the south of China, which is today kind of

0:42:41.719 --> 0:42:44.640
<v Speaker 12>one of the like a Silicon valley of China. And

0:42:44.760 --> 0:42:48.520
<v Speaker 12>he started out making batteries for mobile phones, but his

0:42:48.640 --> 0:42:49.520
<v Speaker 12>dream was to.

0:42:49.960 --> 0:42:51.400
<v Speaker 4>Electrify the auto industry.

0:42:51.440 --> 0:42:53.640
<v Speaker 12>He always thought that you could make you know, battery

0:42:53.680 --> 0:42:57.480
<v Speaker 12>powered vehicles, and it took a really long time from

0:42:57.560 --> 0:43:00.200
<v Speaker 12>nineteen ninety five to up until about twenty twenty for

0:43:00.320 --> 0:43:03.080
<v Speaker 12>him to make that a reality. But the story is

0:43:03.120 --> 0:43:05.760
<v Speaker 12>really about how he did that. And you know buid

0:43:06.000 --> 0:43:09.200
<v Speaker 12>because they are kind of the poster child for China's

0:43:09.200 --> 0:43:11.160
<v Speaker 12>EV offensive around the world. I mean, they're not the

0:43:11.200 --> 0:43:13.960
<v Speaker 12>only one by any means. There's lots of Chinese EV

0:43:14.080 --> 0:43:16.440
<v Speaker 12>companies that are now trying to export around the world.

0:43:16.560 --> 0:43:18.840
<v Speaker 12>You know, we see a lot in Europe but also

0:43:18.920 --> 0:43:22.440
<v Speaker 12>in Southeast Asia, the BID is kind of the strongest

0:43:22.480 --> 0:43:24.640
<v Speaker 12>and the biggest, and you know, they're the biggest EV

0:43:24.840 --> 0:43:28.160
<v Speaker 12>seller in China. And I think because we're in this

0:43:28.239 --> 0:43:31.360
<v Speaker 12>moment of trade war and talking about tariffs and tension

0:43:31.400 --> 0:43:33.880
<v Speaker 12>with China, there's a tendency by people in the West

0:43:33.880 --> 0:43:36.040
<v Speaker 12>to kind of think that, oh, this is all because

0:43:36.080 --> 0:43:38.360
<v Speaker 12>of Chinese subsidies. And I'm not at all saying that

0:43:38.400 --> 0:43:41.280
<v Speaker 12>there aren't Chinese subsidies involved. I mean, the Chinese economy

0:43:41.360 --> 0:43:43.919
<v Speaker 12>is not a free market economy. There's a lot of protectionism,

0:43:44.239 --> 0:43:46.359
<v Speaker 12>and the scale of subsidies that they use is much

0:43:46.400 --> 0:43:49.799
<v Speaker 12>higher than what other, you know, free market democratic countries do.

0:43:50.320 --> 0:43:52.799
<v Speaker 12>But if they were just subsidies, there would be twenty

0:43:52.840 --> 0:43:56.040
<v Speaker 12>byds and there's really just one. And you know that

0:43:56.200 --> 0:43:58.840
<v Speaker 12>is the due to the innovation and the sort of

0:43:58.960 --> 0:44:01.319
<v Speaker 12>long term vision of Tuan Fu and the other key

0:44:01.360 --> 0:44:02.320
<v Speaker 12>people in the company.

0:44:02.400 --> 0:44:04.480
<v Speaker 3>Well, Gabby, get to it, because it does feel like

0:44:04.920 --> 0:44:07.040
<v Speaker 3>the thing, the nut that they figured out how to crack,

0:44:07.080 --> 0:44:10.080
<v Speaker 3>the holy grail, if you will, is to build an

0:44:10.080 --> 0:44:14.200
<v Speaker 3>affordable EV for the masses, which we keep getting promises

0:44:14.239 --> 0:44:17.279
<v Speaker 3>from the likes of Elon Musk and others, and yet

0:44:17.320 --> 0:44:20.839
<v Speaker 3>it hasn't happened. BYD though figured it out.

0:44:21.080 --> 0:44:22.880
<v Speaker 4>How is that? Is it just getting the cost of

0:44:22.920 --> 0:44:24.319
<v Speaker 4>batteries down? What was it?

0:44:24.960 --> 0:44:27.040
<v Speaker 12>You know, it's not just one things. I think it's

0:44:27.040 --> 0:44:29.040
<v Speaker 12>a confluence of things. But you know, one thing I

0:44:29.120 --> 0:44:32.040
<v Speaker 12>learned in researching this story, Carol, is that you know,

0:44:32.120 --> 0:44:34.040
<v Speaker 12>we look at the US now and we say, oh,

0:44:34.160 --> 0:44:36.719
<v Speaker 12>evs aren't taking off. Look at this, sales are down.

0:44:37.200 --> 0:44:39.640
<v Speaker 12>China went through that too for like ten years. Like

0:44:39.840 --> 0:44:43.280
<v Speaker 12>China also was engineering incentives. But the thing is BYD

0:44:43.440 --> 0:44:45.440
<v Speaker 12>never stopped. I mean they had a vision to do

0:44:45.480 --> 0:44:47.440
<v Speaker 12>this and they kept doing it when it was not popular,

0:44:47.480 --> 0:44:50.920
<v Speaker 12>when they weren't selling. One thing that's really key is

0:44:51.000 --> 0:44:53.520
<v Speaker 12>they also sell hybrids, so they're not like Tesla, where

0:44:53.560 --> 0:44:56.279
<v Speaker 12>if EV demand drops, that's all they got. You know,

0:44:56.680 --> 0:44:58.880
<v Speaker 12>if you got range anxiety, BYD's got to plug in

0:44:58.960 --> 0:45:01.600
<v Speaker 12>hybrid for you. But I think the key, the key

0:45:01.640 --> 0:45:03.440
<v Speaker 12>to what they've achieved is a lot of it has

0:45:03.480 --> 0:45:06.840
<v Speaker 12>to do with vertical integration. You know, UBS did a

0:45:06.920 --> 0:45:09.640
<v Speaker 12>report that their vehicles are twenty five percent cheaper to

0:45:09.719 --> 0:45:12.279
<v Speaker 12>make than basically the rest of the auto industry, and

0:45:12.320 --> 0:45:13.799
<v Speaker 12>a lot of that is because they make so many

0:45:13.800 --> 0:45:16.200
<v Speaker 12>things themselves in the house. This is not just a battery,

0:45:16.239 --> 0:45:19.120
<v Speaker 12>This is not just a car company. They make semiconductor chips,

0:45:19.120 --> 0:45:23.080
<v Speaker 12>they make solar panels, they make components for consumer electronics

0:45:23.080 --> 0:45:27.040
<v Speaker 12>for companies like Apple. I mean, they're manufacturing Titan really

0:45:27.080 --> 0:45:29.480
<v Speaker 12>in China. But the other part of it is they

0:45:29.520 --> 0:45:31.640
<v Speaker 12>had a battery breakthrough. Like I said, Wan Chuanfu is

0:45:31.640 --> 0:45:34.600
<v Speaker 12>a battery scientist. And I think China gives a lot

0:45:34.680 --> 0:45:37.920
<v Speaker 12>of subsidies for research and investment, you know, R and

0:45:38.000 --> 0:45:40.520
<v Speaker 12>D and investment. That's a big part of their economy.

0:45:40.560 --> 0:45:43.279
<v Speaker 12>And so I mean he I visited. I did visit

0:45:43.360 --> 0:45:45.560
<v Speaker 12>their headquarters in chen Jin, and I felt like I

0:45:45.600 --> 0:45:48.879
<v Speaker 12>was at an academic campus or like a national lab,

0:45:48.960 --> 0:45:51.319
<v Speaker 12>because there was just the museum of what all the

0:45:51.360 --> 0:45:53.040
<v Speaker 12>things they've invented and researched is.

0:45:53.400 --> 0:45:54.279
<v Speaker 4>There's a lot there.

0:45:54.880 --> 0:45:57.080
<v Speaker 5>What's the give us an idea of what's there apart

0:45:57.120 --> 0:45:59.440
<v Speaker 5>from vehicles that we've seen pictures of because we know

0:45:59.480 --> 0:46:01.279
<v Speaker 5>we're not driving these things here in the US. We'll

0:46:01.280 --> 0:46:02.840
<v Speaker 5>get to that in just a minute.

0:46:02.760 --> 0:46:05.440
<v Speaker 12>Right well, And keep in mind, like they're not letting

0:46:05.440 --> 0:46:08.200
<v Speaker 12>an American journalist in to see behind the wall and

0:46:08.239 --> 0:46:10.520
<v Speaker 12>see all their secrets. But I mean, one thing that

0:46:10.560 --> 0:46:12.520
<v Speaker 12>Wan Chuanfu is very proud of is they always do

0:46:12.560 --> 0:46:15.239
<v Speaker 12>this nail test where they have you go in the

0:46:15.360 --> 0:46:18.680
<v Speaker 12>museum lobby area and there's this glass wall, and there's

0:46:18.920 --> 0:46:22.520
<v Speaker 12>a lithium ion battery with nickel, and then there's the

0:46:22.520 --> 0:46:26.000
<v Speaker 12>BID battery, which uses LFP or lithium iron phosphate. That's

0:46:26.040 --> 0:46:28.440
<v Speaker 12>kind of a key part of their success is they

0:46:28.680 --> 0:46:31.960
<v Speaker 12>decided early on to work with this battery chemistry LFP,

0:46:32.040 --> 0:46:35.120
<v Speaker 12>which is more stable and less fire prone than the

0:46:35.239 --> 0:46:37.719
<v Speaker 12>nickel based batteries we've seen the Koreans and everybody in

0:46:37.719 --> 0:46:40.240
<v Speaker 12>the West using. So when you go into this museum,

0:46:40.640 --> 0:46:42.719
<v Speaker 12>they have this like robot arm that comes down and

0:46:42.719 --> 0:46:45.239
<v Speaker 12>sticks and nail right through the battery, and on the

0:46:45.320 --> 0:46:48.000
<v Speaker 12>nickel side you see the thing explode, and on the

0:46:48.000 --> 0:46:52.239
<v Speaker 12>bid LFP battery nothing happens. So that's like probably one

0:46:52.239 --> 0:46:55.520
<v Speaker 12>of Wangwan Fu's greatest achievements is who's saying, look, I

0:46:55.560 --> 0:46:57.879
<v Speaker 12>made this battery that you know can actually be used

0:46:57.880 --> 0:47:00.719
<v Speaker 12>for long range vehicles, but it could and I and

0:47:00.840 --> 0:47:03.400
<v Speaker 12>I look, they call it. They branded as the safe

0:47:03.400 --> 0:47:07.120
<v Speaker 12>Thing No batteries A hundred percent you know, zero fire risk,

0:47:07.160 --> 0:47:08.680
<v Speaker 12>and I think if you were to google you'd find

0:47:08.719 --> 0:47:12.080
<v Speaker 12>that's true for BID two. But you know that is

0:47:12.120 --> 0:47:13.920
<v Speaker 12>a key part of it. But the you know of

0:47:14.280 --> 0:47:20.240
<v Speaker 12>suspension systems, you know, research on materials, polymers, so many things,

0:47:20.280 --> 0:47:23.080
<v Speaker 12>I mean, the engineering, you know, all these things. But

0:47:23.200 --> 0:47:25.480
<v Speaker 12>another thing I should mention in my story. You know

0:47:25.520 --> 0:47:28.200
<v Speaker 12>what a scoop that we uncovered myself and our our

0:47:28.520 --> 0:47:30.719
<v Speaker 12>you know star Apple or reporter Mark German, is that

0:47:30.800 --> 0:47:35.200
<v Speaker 12>actually BID and Apple worked together, uh for a battery

0:47:35.239 --> 0:47:37.840
<v Speaker 12>system for the Apple car when that project was still going.

0:47:37.920 --> 0:47:40.920
<v Speaker 12>And our reporting showed that that work that Apple and

0:47:40.960 --> 0:47:44.920
<v Speaker 12>BYD did together did influence and you know, impact somewhat

0:47:44.920 --> 0:47:47.200
<v Speaker 12>of BID's own blade development, cause at one point both

0:47:47.239 --> 0:47:50.600
<v Speaker 12>companies had access to this very similar technology. Apple decided

0:47:50.600 --> 0:47:52.480
<v Speaker 12>to shelve it cause who wants to get into the

0:47:52.480 --> 0:47:55.000
<v Speaker 12>car business these days, I guess, and BID was all

0:47:55.080 --> 0:47:57.399
<v Speaker 12>went ran with it, you know. And to be clear,

0:47:57.520 --> 0:47:59.799
<v Speaker 12>you know BYD developed the blade battery by themselves. There's

0:47:59.800 --> 0:48:02.399
<v Speaker 12>no Apple ip in that blade battery. But the two

0:48:02.440 --> 0:48:04.279
<v Speaker 12>companies work together. You had some of the best and

0:48:04.320 --> 0:48:07.759
<v Speaker 12>brightest minds in this field working together, and BYD is

0:48:07.800 --> 0:48:10.279
<v Speaker 12>the one that commercialized it, and now they're, you know,

0:48:10.360 --> 0:48:13.000
<v Speaker 12>the biggest carmaker in China thanks in part to that

0:48:13.560 --> 0:48:14.440
<v Speaker 12>battery breakthrough.

0:48:16.000 --> 0:48:20.359
<v Speaker 3>I well, listen, you know, I my husband and I've

0:48:20.960 --> 0:48:23.840
<v Speaker 3>been looking at EV's for a while and they're just

0:48:24.160 --> 0:48:27.880
<v Speaker 3>crazy expensive and it's just hard to get it and

0:48:27.920 --> 0:48:29.279
<v Speaker 3>I kind of want to do the right thing for

0:48:29.320 --> 0:48:30.000
<v Speaker 3>the environment.

0:48:30.360 --> 0:48:31.520
<v Speaker 5>Well, you're not going to get a bid.

0:48:31.800 --> 0:48:33.360
<v Speaker 4>I'm not going to get a byd Listen.

0:48:33.440 --> 0:48:35.680
<v Speaker 3>We only have about forty five seconds left hair Gabby

0:48:35.680 --> 0:48:39.040
<v Speaker 3>and I highly recommend everybody check out the magazine because

0:48:39.080 --> 0:48:41.280
<v Speaker 3>there's so much detail in this and it's a company

0:48:41.280 --> 0:48:44.360
<v Speaker 3>that we talk about so much. Thirty forty seconds, so

0:48:44.600 --> 0:48:46.880
<v Speaker 3>take away before we have to say goodbye.

0:48:46.560 --> 0:48:50.000
<v Speaker 12>If the West, if US and Europe European companies want

0:48:50.000 --> 0:48:52.080
<v Speaker 12>to compete with China, they have to be honest about

0:48:52.520 --> 0:48:54.719
<v Speaker 12>what they're up against. And it's not just subsidies. It's

0:48:54.760 --> 0:48:59.320
<v Speaker 12>a very competitive company. You know, we're down a few points,

0:48:59.640 --> 0:49:01.200
<v Speaker 12>quite a few points in the fourth quarter, but the

0:49:01.239 --> 0:49:03.520
<v Speaker 12>game's not over. There's still a chance. But you know,

0:49:03.640 --> 0:49:05.640
<v Speaker 12>companies need to get honest with themselves about the kind

0:49:05.680 --> 0:49:08.400
<v Speaker 12>of cultural change and technological change that needs to happen

0:49:08.680 --> 0:49:09.920
<v Speaker 12>for them to compete with BID.

0:49:10.200 --> 0:49:12.239
<v Speaker 4>I wonder how many automakers are somehow, you.

0:49:12.200 --> 0:49:16.239
<v Speaker 3>Know, seruptitiously like getting a BYD car and pulling it

0:49:16.280 --> 0:49:19.600
<v Speaker 3>apart and like understanding everything that's in it and trying

0:49:19.600 --> 0:49:21.280
<v Speaker 3>to figure out what they need to do right.

0:49:21.640 --> 0:49:23.400
<v Speaker 4>Gab Business and do it in teardowns.

0:49:23.480 --> 0:49:24.480
<v Speaker 12>Yes, that's happening.

0:49:25.760 --> 0:49:29.440
<v Speaker 3>Great reporting the Apple scoop too as well. Unbelievable Bloomberg

0:49:29.440 --> 0:49:32.400
<v Speaker 3>News Auto reporter Gabby Copola. She's of course got the

0:49:32.400 --> 0:49:33.839
<v Speaker 3>cover story of Bloomberg Business Week.

0:49:35.360 --> 0:49:39.200
<v Speaker 2>You're listening to the Bloomberg Business Week Podcast. Listen live

0:49:39.280 --> 0:49:42.120
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:49:42.239 --> 0:49:45.200
<v Speaker 2>Play and Androyd Auto with the Bloomberg Business App. You

0:49:45.239 --> 0:49:48.520
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:49:48.560 --> 0:49:52.360
<v Speaker 2>New York station Just Say Alexa, playing Bloomberg eleven thirty.

0:49:54.160 --> 0:49:57.080
<v Speaker 3>Sticking with the automotive space, General Motors had its best

0:49:57.160 --> 0:49:59.720
<v Speaker 3>day in four years this past week after it signaled

0:50:00.000 --> 0:50:03.120
<v Speaker 3>colid us demand for its highest margin vehicles. Even as

0:50:03.120 --> 0:50:05.640
<v Speaker 3>a broader auto market softens.

0:50:05.360 --> 0:50:08.480
<v Speaker 5>Well, some rival automakers are cutting prices and boosting incentives

0:50:08.480 --> 0:50:10.920
<v Speaker 5>to reduce inventory. GM has been able to hold the

0:50:10.960 --> 0:50:14.640
<v Speaker 5>line on high demand vehicles like it's old school gas

0:50:14.680 --> 0:50:18.759
<v Speaker 5>powered GMC Yukon suv and the Chevy Silverado pickup. For

0:50:18.800 --> 0:50:21.840
<v Speaker 5>more on GM's success, Eligrafey and I spoke to Bloomberg

0:50:21.920 --> 0:50:23.280
<v Speaker 5>News auto reporter Keith Notten.

0:50:23.680 --> 0:50:26.000
<v Speaker 17>Well, they're making a lot of money in the home

0:50:26.040 --> 0:50:31.480
<v Speaker 17>market with their traditional vehicles, with gas fueled pickup trucks

0:50:31.520 --> 0:50:36.480
<v Speaker 17>and sport utility vehicles, and that's helping to offset losses

0:50:36.520 --> 0:50:40.040
<v Speaker 17>that they have in electric vehicles, and losses that they

0:50:40.120 --> 0:50:43.719
<v Speaker 17>have in China, and losses that they have with their

0:50:43.920 --> 0:50:48.280
<v Speaker 17>autonomous unit crews. So they're selling a lot of traditional

0:50:48.400 --> 0:50:51.560
<v Speaker 17>vehicles at high prices and high margins.

0:50:51.600 --> 0:50:55.120
<v Speaker 5>Who's buying these vehicles? These are these cars? I mean,

0:50:55.120 --> 0:50:57.520
<v Speaker 5>they're not as expensive as the evs, but these are

0:50:57.560 --> 0:50:58.880
<v Speaker 5>expensive cars now.

0:50:59.400 --> 0:51:01.800
<v Speaker 17>Well for sure. I mean, you know, cars average almost

0:51:01.840 --> 0:51:06.440
<v Speaker 17>fifty thousand dollars these days in price and interest rates

0:51:06.440 --> 0:51:09.279
<v Speaker 17>still remain sort of stubbornly high, though the FED has

0:51:10.000 --> 0:51:13.799
<v Speaker 17>begun to lower rates that will hopefully pull down car

0:51:13.880 --> 0:51:18.200
<v Speaker 17>loan rates. But you know, the American consumer, at least

0:51:18.280 --> 0:51:23.319
<v Speaker 17>in GM's experiences, remaining incredibly resilient and continues to buy

0:51:23.960 --> 0:51:29.400
<v Speaker 17>really well outfitted cars, which is, you know, driving profits

0:51:29.520 --> 0:51:31.920
<v Speaker 17>up for them. And you know they, as you said,

0:51:31.960 --> 0:51:34.479
<v Speaker 17>they raised their guidance. It's the third time this year

0:51:34.800 --> 0:51:38.440
<v Speaker 17>that they've raised guidance. They've beat earnings estimates for seven

0:51:38.520 --> 0:51:43.000
<v Speaker 17>quarters in a row, so consumers have not stopped buying cars.

0:51:43.760 --> 0:51:47.200
<v Speaker 7>So is this more a story about the resiliency of

0:51:47.239 --> 0:51:51.680
<v Speaker 7>the US consumer in general or is this a GM

0:51:52.040 --> 0:51:56.040
<v Speaker 7>specific kind of I guess optimism.

0:51:56.640 --> 0:52:01.880
<v Speaker 17>Well, GM is definitely out gunning its Troit rivals Ford

0:52:01.920 --> 0:52:05.800
<v Speaker 17>and Stilantis. Neither of them have beat estimate seven quarters

0:52:05.800 --> 0:52:10.120
<v Speaker 17>in a row and are not raising guidance. So you know,

0:52:10.239 --> 0:52:14.640
<v Speaker 17>GM is doing especially well. But what new car buyers

0:52:14.640 --> 0:52:19.000
<v Speaker 17>are buying these days are more well outfitted cars and

0:52:19.120 --> 0:52:22.600
<v Speaker 17>larger cars that have higher sticker prices, and that has

0:52:22.680 --> 0:52:26.319
<v Speaker 17>driven up margins. You know, everybody is expecting pricing to

0:52:26.440 --> 0:52:30.520
<v Speaker 17>soften because inventories are finally replenished after you know the

0:52:30.560 --> 0:52:35.080
<v Speaker 17>shortages of the pandemic era. But still consumers are paying

0:52:35.160 --> 0:52:36.360
<v Speaker 17>up for new wheels.

0:52:36.640 --> 0:52:38.799
<v Speaker 5>Hey, we got thirty seconds left, Keith. You know I'm

0:52:38.800 --> 0:52:43.000
<v Speaker 5>going to go there. Evs How ugly is it for GM?

0:52:43.360 --> 0:52:46.759
<v Speaker 17>Well, you know it's interesting with GM, Tim because they

0:52:46.840 --> 0:52:50.080
<v Speaker 17>are coming out with lower priced evs like the Equinox,

0:52:50.400 --> 0:52:52.920
<v Speaker 17>and those are really resonating because you know, they're not

0:52:53.040 --> 0:52:56.800
<v Speaker 17>too expensive. So GM is having some success with its evs,

0:52:56.920 --> 0:52:59.920
<v Speaker 17>and Mary Barrow, the CEO, said they're going to reduce

0:53:00.120 --> 0:53:03.040
<v Speaker 17>those losses on ev substantially next year.

0:53:03.400 --> 0:53:08.640
<v Speaker 5>Keith Notton, Bloomberg News Auto reporter, joining us from Detroit, Michigan. Keith,

0:53:09.120 --> 0:53:11.080
<v Speaker 5>thanks for joining us. Always good to see you. General

0:53:11.080 --> 0:53:15.600
<v Speaker 5>Motor shares hire by ten point three percent as we speak.

0:53:16.920 --> 0:53:20.440
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:53:20.480 --> 0:53:23.680
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:53:23.760 --> 0:53:25.920
<v Speaker 2>on Apple car Play and and Brout Auto with a

0:53:25.960 --> 0:53:30.080
<v Speaker 2>Bloomberg Business app, or watch us live on YouTube.

0:53:30.680 --> 0:53:32.400
<v Speaker 5>Well, you can find our next guest products in the

0:53:32.480 --> 0:53:36.480
<v Speaker 5>dairy section of your local supermarket LifeWay known for its kaffir.

0:53:36.880 --> 0:53:39.920
<v Speaker 5>You know what it's like that yogurt like drink compikable

0:53:40.000 --> 0:53:41.160
<v Speaker 5>yogurts movie.

0:53:41.239 --> 0:53:43.279
<v Speaker 4>Oh okay, it's kind of yeah, drinkable gotten.

0:53:43.880 --> 0:53:47.359
<v Speaker 5>Sorry, maybe because you don't have critics young critters.

0:53:47.120 --> 0:53:49.879
<v Speaker 4>Right, I have older critters older.

0:53:50.840 --> 0:53:53.560
<v Speaker 5>It's a bubbly traded company about Foydard million dollar market

0:53:53.600 --> 0:53:56.239
<v Speaker 5>cap but Julius and Lanski is the second generation of

0:53:56.239 --> 0:53:58.960
<v Speaker 5>her family to run the company after her father started

0:53:59.000 --> 0:54:01.040
<v Speaker 5>it and took it pup like a couple years later

0:54:01.200 --> 0:54:04.880
<v Speaker 5>on the Nasdaq. Julia is chairman, president and CEO of LifeWay.

0:54:04.920 --> 0:54:08.400
<v Speaker 5>She joins us from Los Angeles. Julie, how are you welcome?

0:54:09.480 --> 0:54:09.719
<v Speaker 16>Good?

0:54:09.800 --> 0:54:11.120
<v Speaker 18>Thank you so much for having me.

0:54:11.280 --> 0:54:13.279
<v Speaker 5>Yeah, thanks for joining us. You've got a really cool

0:54:13.320 --> 0:54:16.080
<v Speaker 5>story and the company is a really interesting one because

0:54:16.080 --> 0:54:19.160
<v Speaker 5>it's not often that you find publicly traded firms that

0:54:19.239 --> 0:54:24.120
<v Speaker 5>have such a narrow focus in terms of products. Give

0:54:24.200 --> 0:54:27.479
<v Speaker 5>us an idea of how business is right now and

0:54:27.600 --> 0:54:29.080
<v Speaker 5>where areas of growth are for you.

0:54:30.120 --> 0:54:33.840
<v Speaker 18>Sure, well, it's an exciting time to be at LifeWay.

0:54:35.000 --> 0:54:41.440
<v Speaker 18>Our category is the probiotic dairy functional food space and

0:54:41.800 --> 0:54:46.239
<v Speaker 18>we are seeing just a booming explosion of business. Just

0:54:46.320 --> 0:54:51.160
<v Speaker 18>the last nineteen quarters have been year over year consecutive

0:54:52.000 --> 0:54:54.800
<v Speaker 18>growth years for us, and that trend is not slowing

0:54:54.880 --> 0:54:56.080
<v Speaker 18>down anytime soon.

0:54:56.680 --> 0:55:00.120
<v Speaker 5>Is that because of what's happening in terms of of

0:55:00.120 --> 0:55:03.279
<v Speaker 5>the way people think about products such as yours or

0:55:03.360 --> 0:55:06.520
<v Speaker 5>are you doing things internally when it comes to product development,

0:55:06.760 --> 0:55:09.920
<v Speaker 5>when it comes to placement, distribution and the like, what

0:55:09.960 --> 0:55:10.880
<v Speaker 5>are you attributing that to.

0:55:11.840 --> 0:55:14.640
<v Speaker 18>Yeah, I mean, I think it's both. I think, first

0:55:14.640 --> 0:55:16.560
<v Speaker 18>of all, to just step back a little bit, I

0:55:16.560 --> 0:55:20.239
<v Speaker 18>think people really want to know where their products are

0:55:20.280 --> 0:55:23.799
<v Speaker 18>coming from, where the brands originate from. And I think

0:55:23.880 --> 0:55:27.959
<v Speaker 18>LifeWay is really the embodiment of the American dream. It's

0:55:28.560 --> 0:55:31.520
<v Speaker 18>just a remarkable story. As you mentioned, my dad came

0:55:31.560 --> 0:55:34.360
<v Speaker 18>from the We all came from the former Soviet Union,

0:55:34.560 --> 0:55:36.759
<v Speaker 18>and we were the first of forty eight families that

0:55:36.800 --> 0:55:41.839
<v Speaker 18>were settled in Chicago. And you know, this idea of

0:55:41.920 --> 0:55:45.120
<v Speaker 18>living the American dream was something my father aspired to.

0:55:45.360 --> 0:55:47.840
<v Speaker 18>And when he walked the grocery stores in America, he

0:55:47.920 --> 0:55:52.720
<v Speaker 18>noticed that there was no Kiffeir, which was a staple

0:55:52.800 --> 0:55:57.120
<v Speaker 18>product for two thousand years, for two thousand years, something

0:55:57.120 --> 0:56:01.560
<v Speaker 18>that my ancestors, my grandmother's passed down generation to generation,

0:56:02.120 --> 0:56:05.240
<v Speaker 18>and it was simply non existent in the United States.

0:56:05.320 --> 0:56:08.480
<v Speaker 18>And I think that, you know, and so that's how

0:56:08.520 --> 0:56:10.680
<v Speaker 18>LifeWay was started, and then he took it public two

0:56:10.760 --> 0:56:14.880
<v Speaker 18>years later. But I think consumers really love that heritage story.

0:56:14.920 --> 0:56:18.239
<v Speaker 18>They want to know that their brand came from someplace

0:56:18.400 --> 0:56:21.800
<v Speaker 18>authentic and real, not just out of an ai private

0:56:21.800 --> 0:56:24.839
<v Speaker 18>equity office or something like that. And so I think

0:56:24.880 --> 0:56:28.399
<v Speaker 18>that thirty eight years of legacy that LifeWay has been

0:56:28.400 --> 0:56:33.000
<v Speaker 18>bringing to American consumers and consumers globally is part of

0:56:33.000 --> 0:56:39.680
<v Speaker 18>the reason. Additionally, you know, with this really wonderful, storied product,

0:56:39.760 --> 0:56:45.239
<v Speaker 18>past of my ancestors, knowing intuitively that kafir improved their

0:56:45.280 --> 0:56:49.600
<v Speaker 18>well being, their health, they attributed their centurion you know,

0:56:49.640 --> 0:56:52.200
<v Speaker 18>living to one hundred years of age based on their

0:56:52.239 --> 0:56:55.480
<v Speaker 18>consumption of keyfer And it wasn't until nineteen oh eight

0:56:55.520 --> 0:56:59.920
<v Speaker 18>when Elie Mechnipoff, doctor Ellie Mechnikoff, did the first round

0:57:00.080 --> 0:57:03.920
<v Speaker 18>of science and research on kaffir and probiotics and fermented

0:57:04.000 --> 0:57:07.000
<v Speaker 18>dairies like Kiffer, and he found that it did indeed

0:57:07.280 --> 0:57:11.040
<v Speaker 18>help improve the body's health. And today modern science is

0:57:11.080 --> 0:57:16.040
<v Speaker 18>only just catching up on the microbiome friendly bacteria, probiotics

0:57:16.040 --> 0:57:20.000
<v Speaker 18>and kafir specifically, and so there's so much exciting medical

0:57:20.040 --> 0:57:24.040
<v Speaker 18>research and we're LifeWay is a brand that meets the moment.

0:57:24.240 --> 0:57:27.880
<v Speaker 18>We are on every grocerysource shelf across the United States,

0:57:27.880 --> 0:57:34.120
<v Speaker 18>from Whole foods and ultra premium markets to Walmart and Costco.

0:57:34.240 --> 0:57:35.840
<v Speaker 5>Yeah, that's what I wanted to talk about because I

0:57:35.840 --> 0:57:41.160
<v Speaker 5>was talking to somebody recently who has a startup ish

0:57:41.240 --> 0:57:43.040
<v Speaker 5>food company. They've raised quite a bit of money and

0:57:43.040 --> 0:57:46.080
<v Speaker 5>they're pretty prominent, but she was telling me how difficult

0:57:46.120 --> 0:57:48.000
<v Speaker 5>it is to get shelf space at some of these

0:57:48.040 --> 0:57:51.120
<v Speaker 5>prominent retailers. How do you do it? As you know,

0:57:51.440 --> 0:57:53.680
<v Speaker 5>you're not independent in the sense of a startup, You're

0:57:53.920 --> 0:57:56.720
<v Speaker 5>far from it. You're a publicly traded company, but you're

0:57:56.880 --> 0:57:59.800
<v Speaker 5>you know, you're not Danin by any means. You know,

0:57:59.840 --> 0:58:02.520
<v Speaker 5>you're not like Talless. So so how do you do it?

0:58:02.560 --> 0:58:03.960
<v Speaker 5>How do you compete with the big players?

0:58:04.920 --> 0:58:07.400
<v Speaker 18>Well, I think they compete with us. I think they

0:58:07.480 --> 0:58:11.160
<v Speaker 18>aspire to be relevant like LifeWay is. You know, we

0:58:11.360 --> 0:58:16.280
<v Speaker 18>have been very passionate and trend setting from day one,

0:58:16.320 --> 0:58:21.440
<v Speaker 18>and we still operate very nimble, and we are trend setting.

0:58:21.520 --> 0:58:24.800
<v Speaker 18>We aren't just following trends, but we're creating the trends.

0:58:25.680 --> 0:58:30.520
<v Speaker 18>We have been, you know, dedicated to putting a bottle

0:58:30.560 --> 0:58:34.040
<v Speaker 18>of LifeWay Keeper in everybody's hand, every consumer's hand, from

0:58:34.320 --> 0:58:39.080
<v Speaker 18>cradle to grave, generation to generation, and you know, building trial,

0:58:39.240 --> 0:58:43.040
<v Speaker 18>showing up at culturally relevant events, yoga. You know, we

0:58:43.040 --> 0:58:46.040
<v Speaker 18>were one of the first brands to partner with yoga

0:58:46.080 --> 0:58:50.720
<v Speaker 18>studios across the country. You can try our samples, our

0:58:50.720 --> 0:58:56.000
<v Speaker 18>products at Lallapalooza at Austin City Limits, all different, you know,

0:58:56.080 --> 0:59:00.440
<v Speaker 18>really amazing cultural moments that are relevant for concers. And

0:59:00.480 --> 0:59:03.640
<v Speaker 18>the way that we show up to our consumers, educating

0:59:03.680 --> 0:59:06.080
<v Speaker 18>them on the importance of gut health is one of

0:59:06.120 --> 0:59:08.960
<v Speaker 18>the reasons why we have had such tremendous success.

0:59:10.400 --> 0:59:16.520
<v Speaker 3>So so okay, so really interesting story, family story. Publicly

0:59:16.520 --> 0:59:19.400
<v Speaker 3>held company, small market cap about three hundred and ninety

0:59:19.440 --> 0:59:24.760
<v Speaker 3>million dollars. Stocks almost doubled year to date, Julia, I

0:59:24.800 --> 0:59:27.240
<v Speaker 3>am curious, so tuck us through some of the metrics,

0:59:27.240 --> 0:59:30.440
<v Speaker 3>the type of growth that you're seeing, revenue, top line growth,

0:59:30.920 --> 0:59:35.160
<v Speaker 3>earnings growth, cash coming in. What do you do to

0:59:35.240 --> 0:59:37.360
<v Speaker 3>kind of keep growing the company?

0:59:37.880 --> 0:59:42.680
<v Speaker 18>Yeah, I mean, you know, we have had the most

0:59:43.240 --> 0:59:49.000
<v Speaker 18>incredible historic quarters. The last five quarters were record breaking quarters.

0:59:49.280 --> 0:59:52.280
<v Speaker 18>Like I mentioned, nineteenth consecutive quarters of year over year

0:59:52.320 --> 0:59:57.080
<v Speaker 18>top line growth. We just hit our the second quarter

0:59:57.240 --> 1:00:01.160
<v Speaker 18>this year, we almost hit fifty million dollars, which has

1:00:01.480 --> 1:00:06.040
<v Speaker 18>been a number we've had long circled in our aspirations.

1:00:06.800 --> 1:00:11.240
<v Speaker 18>Up more than twenty five percent this year. Our twenty

1:00:11.720 --> 1:00:15.040
<v Speaker 18>twenty nineteen, revenue went from about ninety three million to

1:00:15.120 --> 1:00:18.880
<v Speaker 18>almost two hundred million right now two hundred million run rates,

1:00:18.920 --> 1:00:22.280
<v Speaker 18>So we've doubled our revenue. While I don't obsess about

1:00:22.280 --> 1:00:25.560
<v Speaker 18>the share price at all, I am very proud of

1:00:25.600 --> 1:00:28.040
<v Speaker 18>the fact that in the last five years our share

1:00:28.080 --> 1:00:32.520
<v Speaker 18>price is up over almost over twelve hundred percent. So

1:00:33.720 --> 1:00:36.200
<v Speaker 18>you know, these are some remarkable numbers. Our gross profit

1:00:36.400 --> 1:00:41.480
<v Speaker 18>improved to a ninety two percent increase. You know, our

1:00:41.560 --> 1:00:44.440
<v Speaker 18>gross margin was up two hundred and ninety basis points.

1:00:44.840 --> 1:00:49.120
<v Speaker 18>So the metrics that prove that, you know, consumers are

1:00:49.160 --> 1:00:53.680
<v Speaker 18>looking for Lifewaykeeper. We are taking market share away from

1:00:53.720 --> 1:00:57.919
<v Speaker 18>other brands of other types of functional beverages or other

1:00:58.080 --> 1:01:00.439
<v Speaker 18>kind of old stale products like yoga.

1:01:00.520 --> 1:01:01.200
<v Speaker 16>I think we're the.

1:01:01.320 --> 1:01:05.520
<v Speaker 18>More trendier, fashionable, healthier cousin of yogurt.

1:01:05.800 --> 1:01:08.840
<v Speaker 3>Hey, one thing we wanted to ask you is you

1:01:08.880 --> 1:01:11.000
<v Speaker 3>know nifty function on the Bloomberg where you can look

1:01:11.040 --> 1:01:14.040
<v Speaker 3>at you know, your top shareholders and denote North America

1:01:15.320 --> 1:01:19.280
<v Speaker 3>has about what about a twenty twenty three twenty I

1:01:19.320 --> 1:01:25.240
<v Speaker 3>guess yeah reported that back in September, and they, you guys,

1:01:25.280 --> 1:01:29.600
<v Speaker 3>confirmed a receipt of a proposal from denote they offered twenty.

1:01:29.280 --> 1:01:30.480
<v Speaker 4>Five dollars a share.

1:01:30.640 --> 1:01:33.480
<v Speaker 3>You guys right now change trade at twenty six dollars

1:01:33.520 --> 1:01:34.440
<v Speaker 3>forty cents a share.

1:01:35.000 --> 1:01:36.120
<v Speaker 4>Is there an offer?

1:01:36.240 --> 1:01:36.520
<v Speaker 16>Is like?

1:01:36.720 --> 1:01:40.120
<v Speaker 3>Is there is that the future that you ultimately will

1:01:40.160 --> 1:01:43.400
<v Speaker 3>maybe connect with this company danone will own you?

1:01:43.600 --> 1:01:46.200
<v Speaker 4>Or is the plan to kind of keep going alone?

1:01:46.680 --> 1:01:49.040
<v Speaker 18>Well, while I can't comment on that, I would like

1:01:49.120 --> 1:01:52.400
<v Speaker 18>to point to the incredible success that we're having at LifeWay.

1:01:52.640 --> 1:01:55.600
<v Speaker 18>We're on a really strong growth trajectory with a really

1:01:55.640 --> 1:01:59.120
<v Speaker 18>long runway, and in terms of growing both our flagship

1:01:59.120 --> 1:02:04.240
<v Speaker 18>product of but also an incredible exciting emerging category which

1:02:04.280 --> 1:02:06.600
<v Speaker 18>is not new for us, but new for the American people,

1:02:06.640 --> 1:02:09.600
<v Speaker 18>which is farmers cheese and farmer sheees. Is so exciting

1:02:09.600 --> 1:02:12.520
<v Speaker 18>because maybe you've noticed that last year cottage She's went

1:02:12.640 --> 1:02:17.720
<v Speaker 18>viral on TikTok and it's all over everyone's making blended cottage.

1:02:17.720 --> 1:02:21.000
<v Speaker 18>She's in various recipes like that on social media. And

1:02:21.480 --> 1:02:24.360
<v Speaker 18>our farmer sheeese is one of our legacy products that

1:02:24.400 --> 1:02:26.720
<v Speaker 18>we've been making for over thirty eight years. It's something

1:02:26.760 --> 1:02:32.720
<v Speaker 18>my grandmother's made. Like I mentioned footwog in my language,

1:02:32.760 --> 1:02:38.919
<v Speaker 18>it's called footwog and Farmers Cheese is exploding and we're

1:02:38.960 --> 1:02:41.800
<v Speaker 18>really excited to be growing that category where the largest

1:02:41.800 --> 1:02:45.040
<v Speaker 18>manufacturer of Farmers She's today and it's going to be

1:02:45.080 --> 1:02:47.720
<v Speaker 18>really exciting to scale that into all of our locations

1:02:47.760 --> 1:02:50.959
<v Speaker 18>where our Kifer is currently sold and bring this new

1:02:51.080 --> 1:02:54.760
<v Speaker 18>new category in the dairy space. You know, bioavailable, high

1:02:54.880 --> 1:02:59.240
<v Speaker 18>quality protein is something that consumers are really looking for

1:02:59.280 --> 1:03:03.120
<v Speaker 18>in their craving and that's something that Lifeboys really has

1:03:03.160 --> 1:03:06.840
<v Speaker 18>been pioneering and paving for a long time in the

1:03:06.960 --> 1:03:10.080
<v Speaker 18>natural food space, organic food space, which is now mas market.

1:03:10.160 --> 1:03:12.040
<v Speaker 18>So that's a really exciting time for us.

1:03:12.120 --> 1:03:14.000
<v Speaker 5>We only have about a minute left, but what's your

1:03:14.000 --> 1:03:19.240
<v Speaker 5>product pipeline look like expansion beyond Farmer Cheese and Keifer.

1:03:20.320 --> 1:03:23.240
<v Speaker 18>Yeah, well, we are scaling our pro Bugs, which is

1:03:23.440 --> 1:03:27.760
<v Speaker 18>a pouched product for kids, Pouchkifer product for kids that

1:03:27.800 --> 1:03:31.840
<v Speaker 18>we innovated over ten years ago, and we've really invested

1:03:31.840 --> 1:03:35.440
<v Speaker 18>in some equipment and machinery to really scale that. You know,

1:03:35.440 --> 1:03:39.960
<v Speaker 18>we disrupted the entire baby food packaging space by launching

1:03:40.000 --> 1:03:42.720
<v Speaker 18>the first ever pouch in the United States for kids,

1:03:43.400 --> 1:03:46.480
<v Speaker 18>so we're excited to scale that into mass market right now.

1:03:46.480 --> 1:03:49.920
<v Speaker 18>It's a whole foods nationwide. We also just announced the

1:03:50.400 --> 1:03:55.000
<v Speaker 18>expansion of ten exciting new trendy flavors lactose free. That's

1:03:55.040 --> 1:03:57.400
<v Speaker 18>another big concern in the dairy space. People are looking

1:03:57.400 --> 1:04:00.800
<v Speaker 18>for lactose free products, which Lifewi offers, but they're really

1:04:00.840 --> 1:04:07.520
<v Speaker 18>exciting flavors like taro ube, Macha, latte, leachy, you know,

1:04:07.600 --> 1:04:13.240
<v Speaker 18>really on trend, snackaball easy, instagrammable types of new products

1:04:13.240 --> 1:04:16.440
<v Speaker 18>that we're exciting to scale. Excited to scale that nationwide

1:04:16.480 --> 1:04:19.479
<v Speaker 18>as well. And then we have just like a long

1:04:19.880 --> 1:04:22.640
<v Speaker 18>long trajectory of new products in the pipeline which I

1:04:22.680 --> 1:04:25.880
<v Speaker 18>can't discuss us yet, but look for more things connected

1:04:25.920 --> 1:04:30.360
<v Speaker 18>to skin gut access. We know that abiotics work really

1:04:30.440 --> 1:04:34.640
<v Speaker 18>well on the skin or inside out, so some kind

1:04:34.680 --> 1:04:40.120
<v Speaker 18>of skin and friendly products good Brain's okay.

1:04:39.880 --> 1:04:42.360
<v Speaker 3>We'll come back and tell us more when you can

1:04:42.960 --> 1:04:45.640
<v Speaker 3>give us some of the specifics, because that's super interesting.

1:04:46.000 --> 1:04:49.720
<v Speaker 4>Julie Smolanski, CEO at LifeWay Foods, joining us from LA.

1:04:52.040 --> 1:04:55.520
<v Speaker 2>You're listening to the Bloomberg Business Week Podcast. Catch us

1:04:55.600 --> 1:04:58.840
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

1:04:58.880 --> 1:05:01.560
<v Speaker 2>on Apple car Play the Android auto with a Bloomberg

1:05:01.600 --> 1:05:05.200
<v Speaker 2>Business app or want us live on YouTube.

1:05:06.240 --> 1:05:08.320
<v Speaker 5>It is Bloomberg Business Week, And I want to know,

1:05:08.400 --> 1:05:10.800
<v Speaker 5>Carrol Masser, Yes, what you were doing when you were

1:05:10.840 --> 1:05:11.520
<v Speaker 5>in ninth grade?

1:05:13.160 --> 1:05:13.520
<v Speaker 2>For sure?

1:05:13.600 --> 1:05:14.120
<v Speaker 4>High school?

1:05:14.200 --> 1:05:15.440
<v Speaker 15>Yeah, I don't know.

1:05:15.600 --> 1:05:19.640
<v Speaker 3>Just trying to gymnastics, gymnastics, cheerleading, trying to get a's,

1:05:19.880 --> 1:05:20.439
<v Speaker 3>getting a's.

1:05:20.760 --> 1:05:22.840
<v Speaker 5>You were you anywhere close to creating an AI based

1:05:22.880 --> 1:05:24.600
<v Speaker 5>handheld pesticide detector?

1:05:24.720 --> 1:05:26.320
<v Speaker 4>That would be a no, okay.

1:05:26.480 --> 1:05:29.440
<v Speaker 5>That's what sirrich Subash has been up to. He's in

1:05:29.560 --> 1:05:32.280
<v Speaker 5>ninth grade and that creation helped crown him the winner

1:05:32.680 --> 1:05:35.360
<v Speaker 5>of the twenty twenty four to three M Young Scientists Challenge.

1:05:35.760 --> 1:05:39.080
<v Speaker 5>Also includes a nice twenty five thousand dollars cash prize,

1:05:39.080 --> 1:05:40.960
<v Speaker 5>a trip here to New York, YEP to Ring the

1:05:40.960 --> 1:05:44.360
<v Speaker 5>Belt in New York Stock Exchange, and yes, gets to

1:05:44.400 --> 1:05:47.280
<v Speaker 5>hang out with us, which I think is just the

1:05:47.280 --> 1:05:48.240
<v Speaker 5>biggest prize.

1:05:48.480 --> 1:05:49.280
<v Speaker 9>That's their round.

1:05:49.280 --> 1:05:51.600
<v Speaker 3>Siries Shabash is the winner of the twenty twenty fourth

1:05:51.680 --> 1:05:55.960
<v Speaker 3>REEM Young Scientists Challenge and Aditya Banerjee is Senior Research

1:05:56.080 --> 1:05:59.120
<v Speaker 3>Energy of the Corporate Research Process Lab. Over at three am,

1:05:59.200 --> 1:06:02.320
<v Speaker 3>they both join us in our Bloomberg Interactive Broker Studio.

1:06:02.720 --> 1:06:07.320
<v Speaker 3>Very cool to have you both here. Congratulations Soris. First,

1:06:07.320 --> 1:06:11.440
<v Speaker 3>I want to ask you aditya tell us about this challenge,

1:06:11.800 --> 1:06:14.120
<v Speaker 3>how long you've been doing it, how it came about,

1:06:14.280 --> 1:06:15.240
<v Speaker 3>and why you're doing it.

1:06:15.600 --> 1:06:18.240
<v Speaker 19>So the Three and Young Scientist Challenge has been around

1:06:18.280 --> 1:06:22.960
<v Speaker 19>for seventeen years. This is my first year doing this mentorship.

1:06:23.040 --> 1:06:28.440
<v Speaker 19>So I'm just awfully lucky to be paired with Series

1:06:28.560 --> 1:06:31.680
<v Speaker 19>and it has been an awesome experience. Our goal as

1:06:31.720 --> 1:06:33.640
<v Speaker 19>part of the Three and Young Scientist Challenge is to

1:06:34.720 --> 1:06:39.880
<v Speaker 19>nurture and just work with such young, bright, young minds

1:06:40.360 --> 1:06:45.960
<v Speaker 19>and just help them bring their imagination their creations to life.

1:06:46.240 --> 1:06:49.040
<v Speaker 19>So I mean we live by science applied to life,

1:06:49.120 --> 1:06:51.520
<v Speaker 19>so they have all the science innovations in their mind.

1:06:51.960 --> 1:06:57.840
<v Speaker 19>We have some experience in getting the science to people's hands,

1:06:58.000 --> 1:07:00.840
<v Speaker 19>so we hope that we can breach the gap for

1:07:00.920 --> 1:07:05.160
<v Speaker 19>them to take his concepts to hands off consumers and

1:07:05.240 --> 1:07:08.440
<v Speaker 19>help them in any way possible to make that journey smooth.

1:07:08.640 --> 1:07:10.920
<v Speaker 5>Well, Series, tell us about what you have sitting in

1:07:10.920 --> 1:07:14.440
<v Speaker 5>front of you, because it looks like an iPhone attached

1:07:14.480 --> 1:07:16.240
<v Speaker 5>to some sort of gizmo. Here, what's going on?

1:07:17.400 --> 1:07:21.360
<v Speaker 11>So my device, my project, it's called PESTI scanned and

1:07:21.400 --> 1:07:24.520
<v Speaker 11>so what it is is at home people can scan

1:07:24.840 --> 1:07:28.320
<v Speaker 11>for pesticide residues on their produce items. That's the real

1:07:28.360 --> 1:07:31.480
<v Speaker 11>core concept here because there's a lot of contaminants like

1:07:31.520 --> 1:07:34.360
<v Speaker 11>pest side residues they can stick around on produce after

1:07:34.560 --> 1:07:37.880
<v Speaker 11>washing where they've been linked to health issues like certain

1:07:37.920 --> 1:07:43.360
<v Speaker 11>cancers and Alzheimer's, Parkinson's, near degenerative diseases along those lines.

1:07:43.520 --> 1:07:45.240
<v Speaker 5>You can pick that up and you can there's a

1:07:45.280 --> 1:07:47.440
<v Speaker 5>camera right there in front of you for those watching

1:07:47.440 --> 1:07:49.560
<v Speaker 5>on YouTube, Elizabeth's going to get a shot of this thing.

1:07:49.640 --> 1:07:52.600
<v Speaker 9>It's pretty cool. So there's an app.

1:07:52.400 --> 1:07:54.560
<v Speaker 5>That goes with it. There's also some hardware there. It

1:07:54.640 --> 1:07:58.560
<v Speaker 5>uses a type of technology I practice so many times

1:07:58.560 --> 1:08:01.680
<v Speaker 5>saying this type of technology say it? Can you say it.

1:08:01.560 --> 1:08:03.880
<v Speaker 16>For me please? Spectro photometry.

1:08:04.000 --> 1:08:06.360
<v Speaker 5>Spectro photometry, Yeah, and what does that do?

1:08:07.040 --> 1:08:10.720
<v Speaker 11>So the idea is different materials reflect and absorb different

1:08:10.720 --> 1:08:14.280
<v Speaker 11>wavelengths of light. So PESTA scan can look for those

1:08:14.320 --> 1:08:17.800
<v Speaker 11>wavelengths that are reflected and absorbed by pest said residues.

1:08:19.400 --> 1:08:22.880
<v Speaker 3>So okay, so we are very lucky that we have

1:08:22.920 --> 1:08:24.439
<v Speaker 3>a lot of food here at Bloomberg and a lot

1:08:24.439 --> 1:08:26.200
<v Speaker 3>of fresh fruit and we all tap into it. I've

1:08:26.240 --> 1:08:29.240
<v Speaker 3>just had a banana and often tap an apple or

1:08:29.280 --> 1:08:30.000
<v Speaker 3>some other things.

1:08:30.000 --> 1:08:31.280
<v Speaker 4>We had some grape fruit this morning.

1:08:31.479 --> 1:08:33.960
<v Speaker 3>You picked up an apple in our food court up

1:08:33.960 --> 1:08:36.840
<v Speaker 3>in the link on the sixth floor, and so tell

1:08:36.920 --> 1:08:39.160
<v Speaker 3>us show us how it works and what you do

1:08:39.200 --> 1:08:40.200
<v Speaker 3>and then what you found out.

1:08:40.880 --> 1:08:44.760
<v Speaker 11>So for using the actual device, you just connect the

1:08:44.800 --> 1:08:45.679
<v Speaker 11>app to the device.

1:08:45.760 --> 1:08:46.880
<v Speaker 16>You just turn both on.

1:08:48.000 --> 1:08:51.360
<v Speaker 11>You point the device at the protocetem and then you

1:08:51.400 --> 1:08:54.679
<v Speaker 11>tap scan and then a couple of seconds the results

1:08:54.720 --> 1:08:58.479
<v Speaker 11>are back. And this apple had no pested residues on

1:08:58.520 --> 1:08:58.920
<v Speaker 11>it at all.

1:08:59.080 --> 1:09:01.599
<v Speaker 5>Score, which amazing because I don't know if these are

1:09:01.680 --> 1:09:02.559
<v Speaker 5>organic apples.

1:09:02.880 --> 1:09:04.160
<v Speaker 4>I don't know that they are either.

1:09:04.800 --> 1:09:06.880
<v Speaker 5>But that's good to know it does. There is a

1:09:06.880 --> 1:09:09.360
<v Speaker 5>sign upstairs that says please wash fruit before eating it.

1:09:09.400 --> 1:09:10.519
<v Speaker 9>But that's what least do.

1:09:10.920 --> 1:09:13.120
<v Speaker 5>Sometimes, you know, people go and like check the peaches

1:09:13.160 --> 1:09:14.479
<v Speaker 5>to make sure they're soft.

1:09:15.120 --> 1:09:17.480
<v Speaker 4>I check out a few things. It's really fascinating.

1:09:17.640 --> 1:09:19.920
<v Speaker 3>So how did you how did you kind of come

1:09:20.000 --> 1:09:21.439
<v Speaker 3>up with the idea, how did you pull it together?

1:09:21.840 --> 1:09:23.599
<v Speaker 3>And how did you use your mentor to help you.

1:09:24.240 --> 1:09:26.599
<v Speaker 11>So the whole concept really started when I was having

1:09:26.600 --> 1:09:29.640
<v Speaker 11>a conversation with my mom so she was insisting that

1:09:29.680 --> 1:09:32.920
<v Speaker 11>I washed my produce before consuming it, right, And yeah.

1:09:33.040 --> 1:09:36.240
<v Speaker 4>Okay, mom, you gotta wash your produce, so go ahead.

1:09:36.240 --> 1:09:39.639
<v Speaker 11>And my question was why and how effective is it?

1:09:40.520 --> 1:09:42.840
<v Speaker 11>So looking into that, I saw that there were a

1:09:42.840 --> 1:09:46.839
<v Speaker 11>bunch of caeminists like Pesta residues that can be on produce,

1:09:47.400 --> 1:09:51.720
<v Speaker 11>but washing isn't necessarily completely effective, like the residues do

1:09:51.840 --> 1:09:55.519
<v Speaker 11>stay on afterward. So the idea is if we could

1:09:55.520 --> 1:09:58.080
<v Speaker 11>detect them, we could make sure that we weren't consuming them.

1:09:58.160 --> 1:10:00.840
<v Speaker 11>And that's really where the idea for Pestis came from.

1:10:01.640 --> 1:10:04.280
<v Speaker 11>So after I started building the device and I joined

1:10:04.280 --> 1:10:08.360
<v Speaker 11>the three Mek Scientist Challenge, my mentoralitya has been really

1:10:08.400 --> 1:10:12.320
<v Speaker 11>helpful with this, especially when I've gotten stuck. One big

1:10:12.360 --> 1:10:14.959
<v Speaker 11>time was when I was designing my machine learning models,

1:10:15.280 --> 1:10:17.240
<v Speaker 11>and these are what take the actual data from the

1:10:17.280 --> 1:10:20.320
<v Speaker 11>sensor and then turn that into results. What you'd see

1:10:20.320 --> 1:10:23.360
<v Speaker 11>on the screen whether the device has pest said residues,

1:10:23.479 --> 1:10:26.719
<v Speaker 11>whether the predecess pest said residues or not. And he's

1:10:26.720 --> 1:10:29.920
<v Speaker 11>helped me when I get stuck, He's helped me get unstuck.

1:10:30.800 --> 1:10:32.559
<v Speaker 4>Did you I want to ask you, So, what's the.

1:10:34.360 --> 1:10:37.280
<v Speaker 3>Balance of here's how you do it and solving the

1:10:37.320 --> 1:10:40.400
<v Speaker 3>problem and helping him to say, you've got this problem,

1:10:40.800 --> 1:10:44.320
<v Speaker 3>let me steer you so that you figure it out yourself.

1:10:44.479 --> 1:10:46.800
<v Speaker 19>You got that exactly right. Like I said, our goal

1:10:46.880 --> 1:10:51.479
<v Speaker 19>is to help nurture them. So I would pose it

1:10:51.520 --> 1:10:54.400
<v Speaker 19>as le a, have you thought about this? Have you

1:10:54.439 --> 1:10:58.240
<v Speaker 19>thought about that? And he, being a very meticulous and

1:10:58.360 --> 1:11:02.840
<v Speaker 19>very energetic person, he would do his homework and he

1:11:02.840 --> 1:11:05.960
<v Speaker 19>would make sure he follows up on that and next

1:11:06.080 --> 1:11:09.960
<v Speaker 19>next week when we chat, he would inevitably come up

1:11:10.000 --> 1:11:10.599
<v Speaker 19>with a solution.

1:11:10.920 --> 1:11:17.320
<v Speaker 5>So, Sirish is in uh is in Georgia, Snellville, Georgia.

1:11:17.479 --> 1:11:18.720
<v Speaker 5>You're in Minneapolis.

1:11:18.800 --> 1:11:18.960
<v Speaker 16>Yep?

1:11:19.200 --> 1:11:20.960
<v Speaker 5>Were you guys meeting like on zoom once a week?

1:11:21.000 --> 1:11:21.280
<v Speaker 2>How was it?

1:11:21.320 --> 1:11:22.000
<v Speaker 9>How did this work?

1:11:22.080 --> 1:11:22.320
<v Speaker 16>Yep?

1:11:22.439 --> 1:11:26.639
<v Speaker 19>We would meet after his school's done once a week

1:11:27.080 --> 1:11:29.720
<v Speaker 19>and have a conversation about what he has been up

1:11:29.760 --> 1:11:32.960
<v Speaker 19>to last week, anything he wanted to discuss with me,

1:11:33.760 --> 1:11:35.599
<v Speaker 19>any next steps and stuff like that.

1:11:35.920 --> 1:11:39.080
<v Speaker 5>Can you talk a little bit, Sish about how you

1:11:39.120 --> 1:11:42.320
<v Speaker 5>got introduced to this program, because it's my understanding that

1:11:43.560 --> 1:11:46.920
<v Speaker 5>you've known about the Young Scientists Challenge from three AM

1:11:47.640 --> 1:11:48.920
<v Speaker 5>since you were in second grade.

1:11:49.720 --> 1:11:51.120
<v Speaker 16>Yes, this is I had.

1:11:51.479 --> 1:11:54.479
<v Speaker 11>I learned about the Third Big Scientist Challenge when gitan

1:11:54.640 --> 1:11:56.920
<v Speaker 11>Lei Rau got nominated as Time Scard of the Year,

1:11:57.280 --> 1:11:59.600
<v Speaker 11>and when I learned about it and what the challenge

1:11:59.760 --> 1:12:02.479
<v Speaker 11>really stood for what it was doing, I thought that

1:12:02.520 --> 1:12:05.439
<v Speaker 11>this would be a great place for me to submit

1:12:05.560 --> 1:12:10.120
<v Speaker 11>my inventions. That was really because I wanted I've always

1:12:10.120 --> 1:12:12.559
<v Speaker 11>wanted to have to leave an impact on the world

1:12:12.800 --> 1:12:16.240
<v Speaker 11>nice and a good way to leave society a better place,

1:12:16.800 --> 1:12:19.080
<v Speaker 11>and that was I thought three at the Cremning Science

1:12:19.120 --> 1:12:21.200
<v Speaker 11>Challenge would be a great place for me to start

1:12:21.240 --> 1:12:25.040
<v Speaker 11>with that. So I skipped fifth grade, so I wasn't

1:12:25.040 --> 1:12:28.439
<v Speaker 11>able to put it in then sixth grade, our family

1:12:28.600 --> 1:12:30.599
<v Speaker 11>was in India and we weren't able to get things

1:12:30.600 --> 1:12:33.920
<v Speaker 11>figured out. Seventh grade I did apply, but it didn't

1:12:34.040 --> 1:12:38.640
<v Speaker 11>quite work out. And this year I was able to

1:12:38.640 --> 1:12:41.479
<v Speaker 11>get it in and everything worked out.

1:12:41.560 --> 1:12:41.960
<v Speaker 16>Yeah.

1:12:42.000 --> 1:12:44.519
<v Speaker 4>Did I hear you say inventions plural?

1:12:45.320 --> 1:12:47.799
<v Speaker 16>Yeah? So I've worked on a couple of things before.

1:12:47.960 --> 1:12:51.240
<v Speaker 11>Okay, PESTI Scan maybe the one single project that I've

1:12:51.240 --> 1:12:52.639
<v Speaker 11>put my most time into.

1:12:53.360 --> 1:12:55.200
<v Speaker 16>So I've built a couple things before.

1:12:55.240 --> 1:12:57.920
<v Speaker 11>I made one robot to deliver books that that was

1:12:58.479 --> 1:13:01.439
<v Speaker 11>probably the runner up to this and how much time

1:13:01.479 --> 1:13:04.640
<v Speaker 11>I put into it that took. I've spent four or

1:13:04.640 --> 1:13:07.200
<v Speaker 11>five months on that. I've spent about a year on

1:13:07.320 --> 1:13:08.360
<v Speaker 11>this latest version.

1:13:08.640 --> 1:13:10.120
<v Speaker 4>So what's the commercialization of this?

1:13:10.200 --> 1:13:12.720
<v Speaker 3>Because I think I could see I would love to

1:13:12.760 --> 1:13:13.960
<v Speaker 3>have one in my home and I'm sure.

1:13:13.920 --> 1:13:16.280
<v Speaker 5>You would, or even just an app that could do

1:13:16.360 --> 1:13:19.400
<v Speaker 5>this using technology that exists inside a phone already, right, Like,

1:13:19.439 --> 1:13:20.880
<v Speaker 5>so you're at the grocery store, You're like, oh, this

1:13:20.960 --> 1:13:21.400
<v Speaker 5>is good to.

1:13:21.320 --> 1:13:24.160
<v Speaker 3>Go exactly right, Like we do barcodes of things to

1:13:24.280 --> 1:13:26.320
<v Speaker 3>find out pricing or whatever or information.

1:13:26.479 --> 1:13:28.439
<v Speaker 4>So did you how do you guys.

1:13:28.280 --> 1:13:31.040
<v Speaker 3>Think about like just three AM, who's known for like

1:13:31.080 --> 1:13:33.840
<v Speaker 3>all their different products and it's not just posted, it's

1:13:33.840 --> 1:13:36.400
<v Speaker 3>a lot of different things. So I'm just curious, do

1:13:36.439 --> 1:13:39.720
<v Speaker 3>you see something like this and say, okay, there's commercial applications?

1:13:39.840 --> 1:13:40.400
<v Speaker 9>Well for sure.

1:13:40.439 --> 1:13:43.000
<v Speaker 19>I mean part of our conversations was how do you

1:13:43.040 --> 1:13:47.519
<v Speaker 19>simplify the prototype? That was one of the driving questions

1:13:47.520 --> 1:13:50.519
<v Speaker 19>that he seek to answer during the summer. He started

1:13:50.560 --> 1:13:54.040
<v Speaker 19>off with making the module simpler, something that you can

1:13:54.080 --> 1:13:57.040
<v Speaker 19>just clip onto your phone, right so that it can

1:13:57.080 --> 1:13:59.800
<v Speaker 19>be used for consumer He did a lot of work

1:13:59.840 --> 1:14:03.040
<v Speaker 19>in driving down the unit cost of each of the modules,

1:14:03.040 --> 1:14:05.679
<v Speaker 19>and he already has plans to drive it down even lower,

1:14:06.040 --> 1:14:07.880
<v Speaker 19>so he is already on it.

1:14:08.160 --> 1:14:09.439
<v Speaker 4>Well, what do you guys do next?

1:14:09.520 --> 1:14:12.360
<v Speaker 3>I mean, these guys know I'm like super obsessed with

1:14:12.400 --> 1:14:14.320
<v Speaker 3>shark Tank and when people pitch their ideas.

1:14:14.320 --> 1:14:16.200
<v Speaker 4>But what do you do to help him?

1:14:16.240 --> 1:14:16.679
<v Speaker 1>Maybe?

1:14:17.040 --> 1:14:18.840
<v Speaker 3>Is it on his own or do you guys work

1:14:18.880 --> 1:14:20.719
<v Speaker 3>with him to kind of get it to the next step.

1:14:21.000 --> 1:14:23.720
<v Speaker 19>So he would be driving a lot on his own,

1:14:23.760 --> 1:14:26.800
<v Speaker 19>but we are always there to support him whenever there's

1:14:26.840 --> 1:14:29.599
<v Speaker 19>anything that we can help out. Me personally, three AM

1:14:29.640 --> 1:14:32.639
<v Speaker 19>as a company, we would definitely be more than happy

1:14:32.680 --> 1:14:35.599
<v Speaker 19>to help him out. And also the three and Young

1:14:35.640 --> 1:14:38.920
<v Speaker 19>Scientists Challenged Alumnize. They have a grant program that has

1:14:38.920 --> 1:14:41.280
<v Speaker 19>been set up, so there are a lot of alumnizs

1:14:41.280 --> 1:14:45.879
<v Speaker 19>who leverage that to fund their programs in the future

1:14:45.920 --> 1:14:48.240
<v Speaker 19>as well. So that is something that's all set up

1:14:48.320 --> 1:14:49.120
<v Speaker 19>that can be used.

1:14:49.560 --> 1:14:51.040
<v Speaker 5>So what do you want to do?

1:14:51.200 --> 1:14:53.559
<v Speaker 3>Like our venture capitalist knocking on your door, You've got.

1:14:53.439 --> 1:14:55.719
<v Speaker 5>A few more years, I imagine you want to continue

1:14:55.720 --> 1:14:57.479
<v Speaker 5>your education? What's the plan here?

1:14:58.280 --> 1:15:01.920
<v Speaker 11>So the big big next steps are I'm trying to

1:15:01.960 --> 1:15:05.040
<v Speaker 11>scale shrink this quite a bit to where it would

1:15:05.080 --> 1:15:07.920
<v Speaker 11>be far more portable and easier for a consumer to

1:15:07.960 --> 1:15:10.720
<v Speaker 11>carry around. And then from there also just dropping the

1:15:10.760 --> 1:15:13.839
<v Speaker 11>cost to where it could easily go into people's homes.

1:15:13.880 --> 1:15:17.679
<v Speaker 11>That was that's those are my key plans for this device.

1:15:17.720 --> 1:15:21.680
<v Speaker 5>In particular, how much what's the cost associated with this prototype?

1:15:21.840 --> 1:15:23.920
<v Speaker 5>Like how much would this device cost as is now?

1:15:24.439 --> 1:15:27.160
<v Speaker 11>So as of now for this setup if I were

1:15:27.160 --> 1:15:29.040
<v Speaker 11>to make a hundred of them, that would be seventy

1:15:29.080 --> 1:15:29.759
<v Speaker 11>five dollars?

1:15:30.080 --> 1:15:30.400
<v Speaker 4>Is that that?

1:15:31.000 --> 1:15:34.879
<v Speaker 11>But for I have a plan laid out to where

1:15:34.720 --> 1:15:37.240
<v Speaker 11>there's there's a solution I can put this onto a

1:15:37.240 --> 1:15:41.439
<v Speaker 11>printed circuit board, which would make this all one singular piece,

1:15:42.400 --> 1:15:44.719
<v Speaker 11>and that would bring the price down to roughly thirty

1:15:44.720 --> 1:15:48.879
<v Speaker 11>five dollars. But I'm looking forward to in the future

1:15:49.000 --> 1:15:53.960
<v Speaker 11>reach your price, Stager, maybe twenty dollars.

1:15:52.240 --> 1:15:55.200
<v Speaker 3>Cool, right, Like I don't yeah, I just think about, Oh,

1:15:55.240 --> 1:15:57.040
<v Speaker 3>do you have it in the supermarket where people can

1:15:57.160 --> 1:15:58.880
<v Speaker 3>I don't know, or does everybody have their own and

1:15:58.960 --> 1:15:59.479
<v Speaker 3>check it out?

1:16:00.120 --> 1:16:00.920
<v Speaker 4>Really really cool?

1:16:02.320 --> 1:16:04.479
<v Speaker 3>One thing I want to ask you. We often talk

1:16:04.520 --> 1:16:07.920
<v Speaker 3>with folks about the importance of STEM education and companies,

1:16:08.040 --> 1:16:10.439
<v Speaker 3>whether it's they're out in Silicon Valley, or thinking about

1:16:10.439 --> 1:16:13.560
<v Speaker 3>the next generation of workers that they need. Is this

1:16:13.680 --> 1:16:15.559
<v Speaker 3>part of why three M is looking.

1:16:15.360 --> 1:16:15.840
<v Speaker 4>To do this?

1:16:16.280 --> 1:16:19.519
<v Speaker 19>Yes, yes, absolutely. I mean we have a we if

1:16:19.560 --> 1:16:25.000
<v Speaker 19>we seek to educate or reach out to folks about

1:16:25.200 --> 1:16:28.400
<v Speaker 19>science and how it's integral part of our life. We

1:16:28.479 --> 1:16:32.599
<v Speaker 19>have a great science advocacy team if within three them

1:16:32.640 --> 1:16:35.120
<v Speaker 19>as well. And that's also one of the reasons why

1:16:35.600 --> 1:16:39.640
<v Speaker 19>during this program we get to meet young brilliant minds

1:16:39.720 --> 1:16:43.519
<v Speaker 19>like him, and we try our best to, like I said,

1:16:43.600 --> 1:16:48.120
<v Speaker 19>nurture and mold him and inspire them to do something

1:16:48.200 --> 1:16:51.000
<v Speaker 19>like he said, like science is part of it. Merging

1:16:51.040 --> 1:16:54.080
<v Speaker 19>with the society. That's another huge thing that we see.

1:16:54.160 --> 1:16:58.000
<v Speaker 19>So what he's doing pretty close to society. Bigger, Yeah,

1:16:58.360 --> 1:17:00.000
<v Speaker 19>y better, that's what we hope.

1:16:59.840 --> 1:17:00.960
<v Speaker 4>For, the bigger impact.

1:17:01.479 --> 1:17:05.800
<v Speaker 3>Srich congratulations, sabash Aditya Banerjee of three AM.

1:17:05.880 --> 1:17:07.720
<v Speaker 4>Guys, thank you so much. This is Bloomberg.

1:17:08.520 --> 1:17:13.160
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1:17:13.280 --> 1:17:17.040
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1:17:17.040 --> 1:17:20.639
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