WEBVTT - Bloomberg Businessweek Weekend - November 1st, 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 Week 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 weekend edition of Bloomberg Business Week.

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<v Speaker 3>We are just a few days out from election day

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<v Speaker 3>in the US, and the presidential contest between Donald Trump

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<v Speaker 3>and Kamala Harris could not be any closer. But it's

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<v Speaker 3>not just the election that we're focused on. We're in

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<v Speaker 3>the midst of earning season. In this past week, five

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<v Speaker 3>of the most valuable companies in the S and P

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<v Speaker 3>five hundred reported results. We also got three key economic

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<v Speaker 3>indicators GDP, an inflation print, and the October jobs report.

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<v Speaker 3>Needless to say, it's been a busy week. Oh and

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<v Speaker 3>let's not forget another rate decision from the Fed in

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<v Speaker 3>the coming days. For the latest information on the election

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<v Speaker 3>and the economy, head on over to Bloomberg dot Com

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<v Speaker 3>or the Bloomberg Terminal. This hour, we'll break down some

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<v Speaker 3>of the megacap earnings we got this week, we're talking

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<v Speaker 3>meta Amazon, Apple, Microsoft, and Alphabet, plus the importance of

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<v Speaker 3>leadership in times of crisis. The president and CEO of

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<v Speaker 3>the nine to eleven Memorial and Museum stops by to

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<v Speaker 3>teach us about leading through challenges. All of that to come, though,

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<v Speaker 3>we begin with the so called Trump trade. Bloomberg opinion

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<v Speaker 3>columnist John Authurs writes that the Trump trade is quote

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<v Speaker 3>back in full sway, and many believe we're heading for

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<v Speaker 3>a repeat of twenty sixteen, when Donald Trump's surprised markets

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<v Speaker 3>by upsetting Hillary Clinton. John joined us this time to

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<v Speaker 3>point out some important differences.

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<v Speaker 4>You could argue about whether the move in the market

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<v Speaker 4>has influenced what people are expecting, but I think it's

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<v Speaker 4>fairly clear that most Wall Street, most financial markets are

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<v Speaker 4>now working on the assumption that a Trump victory is

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<v Speaker 4>about a two in three shot, so clearly more likely

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<v Speaker 4>than a Harris victory, but not something anybody would want

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<v Speaker 4>to bet their entire life savings on, because the markets

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<v Speaker 4>still think that there's a one time in every three

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<v Speaker 4>Kamala Harris in the election.

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<v Speaker 5>But that's roughly where we are.

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<v Speaker 4>That means that that's the huge difference this time compared

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<v Speaker 4>to Donald Trump's first electoral victory assumeing he's going to

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<v Speaker 4>get a second eight years ago, was that at that

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<v Speaker 4>time it was generally regarded as highly unlikely, depending on

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<v Speaker 4>which prediction market you looked at. In fact, it was

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<v Speaker 4>not as big a surprise as some people remember it

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<v Speaker 4>to be. It was about a thirty percent shot. So

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<v Speaker 4>if you're a Democrat out there, the prediction market to

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<v Speaker 4>think Camela's chance is good now as Donald Trump's were

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<v Speaker 4>eight years ago, So that might be something cheery if

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<v Speaker 4>you're a Democrat, but it plainly came as a very

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<v Speaker 4>big surprise. Even if those were the odds, people hadn't

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<v Speaker 4>banked on it. So you or first of all, a

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<v Speaker 4>very sharp rise in bond heels. That's lastly, what we've

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<v Speaker 4>had in the last month. People have perceived to be

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<v Speaker 4>shifting in Donald Trump's favor, and you also had a

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<v Speaker 4>rally in stocks that got a big second wins a

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<v Speaker 4>year later when it became clear that the Trump tax

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<v Speaker 4>cuts really were going to happen. So you can explain

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<v Speaker 4>quite a lot of there other strange things that have

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<v Speaker 4>been going on. This is the best year for the

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<v Speaker 4>stock market of the S and P five hundred at

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<v Speaker 4>this point in the year in over a decade, I

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<v Speaker 4>think I'm right in saying, despite all the angst, and

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<v Speaker 4>despite the fact that you normally have a fairly torrid

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<v Speaker 4>time of it the last few weeks before the election,

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<v Speaker 4>simply because of the uncertainty whatever people think is going

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<v Speaker 4>to happen, you're nervous about chancing your arm ahead of

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<v Speaker 4>the election. I would say that the reason that's different

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<v Speaker 4>this time around, one of the prime reasons that's different

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<v Speaker 4>this time around is that people have got it into

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<v Speaker 4>their heads in the last few weeks that Trump is

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<v Speaker 4>going to win, and that that will be good for

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<v Speaker 4>stocks and also bad the bonds, but not so bad

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<v Speaker 4>for bonds that he gets in the way stocks.

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<v Speaker 6>John, One thing I first want to get kind of

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<v Speaker 6>where we started. I mean, the financial markets in guessing

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<v Speaker 6>presidential election outcomes, as you said, kind of the predictive

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<v Speaker 6>market last time around for Donald Trump's first term. I mean,

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<v Speaker 6>they got it wrong. They didn't expect them to get

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<v Speaker 6>it right, and so I guess I don't know how

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<v Speaker 6>you know, someone like yourself, someone like a lot of

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<v Speaker 6>us who've seen market cycles and election cycles, you know,

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<v Speaker 6>are we not wise to do the cause and effect

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<v Speaker 6>or make a correlation between the two. Are investors smart

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<v Speaker 6>in terms of, you know, playing out their expectations in

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<v Speaker 6>the financial markets?

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<v Speaker 4>I mean, investors are usually pretty smart because they've got

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<v Speaker 4>money on the line and because it matters. Generally speaking,

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<v Speaker 4>most of the time, the market is pretty darn difficult

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<v Speaker 4>to beat. That said, markets do overshoot. They always do that.

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<v Speaker 4>It's part of the physics of markets.

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<v Speaker 5>At this point.

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<v Speaker 4>And it's precisely because it's difficult to talk in these

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<v Speaker 4>terms because so many of us do care so much

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<v Speaker 4>about who is going to win this election. At this point,

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<v Speaker 4>I'm inclined to agree that I think Donald Trump is

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<v Speaker 4>more likely to win than Kamala Harris. And I also

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<v Speaker 4>think at the current odds, I would bet on Kamala Harris.

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<v Speaker 4>Why do you say that you only get one hundred

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<v Speaker 4>You're going to get two hundred percent for your money.

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<v Speaker 5>She's gonna triple your money for you. If you put

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<v Speaker 5>a dollar on her now in the.

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<v Speaker 4>Prediction markets, you'll get three dollars back next Wednesday if

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<v Speaker 4>they manage to call the election.

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<v Speaker 6>That wait, wait, so you're not looking into some crystal

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<v Speaker 6>political crystal ball and making a prediction you're just saying

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<v Speaker 6>in terms of a bet. It makes more sense.

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<v Speaker 4>In terms of a bet in terms of the way

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<v Speaker 4>people think about the NFL or Baseball these days. Who's

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<v Speaker 4>going to beat the spread? With the spread I'm currently

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<v Speaker 4>being offered, I'll take Kamela. If you get what I mean,

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<v Speaker 4>I get it. And in terms of where I see

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<v Speaker 4>the bond and stock markets at this moment, I would

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<v Speaker 4>also be inclined to get ready for a surprise Camela trend,

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<v Speaker 4>which would be good for bonds and bad for stocks

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<v Speaker 4>in the short term.

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<v Speaker 3>Sonically, talk a little bit about that, because we haven't

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<v Speaker 3>seen the bond market. Yes, has shifted in the last month,

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<v Speaker 3>but the stock market has continued to move higher, and

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<v Speaker 3>it's continued a trend that was kind of interrupted, that

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<v Speaker 3>was not interrupted, excuse me, despite the fact that these

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<v Speaker 3>prediction markets seemed to change, John, when you look at

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<v Speaker 3>the index level.

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<v Speaker 4>I'm not sure I agree with that totally. I think

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<v Speaker 4>you had two months in August and September when they

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<v Speaker 4>were really quite sharp sell offs on the wave of data,

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<v Speaker 4>normal economic data. At the beginning of the month, you

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<v Speaker 4>did get the unemployment data which were surprisingly strong, surprisingly

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<v Speaker 4>good for stock surprisingly bad for bonds, suggesting that we

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<v Speaker 4>weren't going to need so many rate cuts after all.

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<v Speaker 4>Then you have Elon Musk rally with Donald Trump, e

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<v Speaker 4>tweets to everybody to look at polymarket because it's so good,

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<v Speaker 4>and then Polymarket mysteriously, thanks to some French based whale,

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<v Speaker 4>leaps forward. So I personally would say that the trends

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<v Speaker 4>had largely broken down during August and September. People were

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<v Speaker 4>getting nervous, and then a combination of oh, the unemployment

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<v Speaker 4>market isn't a sluggish as we thought, and oh, we

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<v Speaker 4>are going to get Donald Trump and Donald Trump means

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<v Speaker 4>growth has led to this big, continued rally in the

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<v Speaker 4>last few weeks. You wouldn't normally expect this to happen

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<v Speaker 4>in an election year. This is not the right, This

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<v Speaker 4>is not right. According to the seasonals, they've got their

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<v Speaker 4>post election rally in before the election.

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<v Speaker 5>This time, I would.

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<v Speaker 6>Argue, I also do remember was it election night when

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<v Speaker 6>Donald Trump won his first term?

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<v Speaker 7>Right?

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<v Speaker 6>Didn't we see futures initially sell off and then we

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<v Speaker 6>saw a turnaround?

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<v Speaker 5>It was right, it was.

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<v Speaker 4>This was the other fascinating thing was that, yes, for

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<v Speaker 4>months ahead of that result, anytime it looked as though

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<v Speaker 4>Trump might somehow win.

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<v Speaker 5>There was a huge sell off. Huge There was.

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<v Speaker 2>A sell off right.

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<v Speaker 4>When on election night, Tokyo and the Asian markets tank

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<v Speaker 4>on the news, the S and P futures tank on

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<v Speaker 4>the news. Everything has come back within a matter of hours.

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<v Speaker 4>The stock market opens up the following morning, once once

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<v Speaker 4>the cash market opens. So yes, that that was a

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<v Speaker 4>remarkably swift response. Everybody did what they had been planning

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<v Speaker 4>to do in reaction to a Trump victory, and then

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<v Speaker 4>they had time to think, Actually, am I so negative

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<v Speaker 4>about this? Donald Trump was relatively magnanimous, one of the

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<v Speaker 4>most magnanimous speeches he's made that election night eight years ago,

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<v Speaker 4>if you remember, so people were soothed that he wasn't

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<v Speaker 4>going to be quite so mad, and then they suddenly thought,

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<v Speaker 4>hang on, he's talking about big corporate tax cuts. Those

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<v Speaker 4>are good for stocks and use and the market wasn't

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<v Speaker 4>priced for such a thing. And you saw a remarkable rebound,

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<v Speaker 4>and thanks to Trump delivering on those tax cuts a

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<v Speaker 4>year on. It was more than a year before that

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<v Speaker 4>rally broke down in twenty eighteen. So yes, that was

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<v Speaker 4>a classic example. Though I didn't seeming either to be clear.

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<v Speaker 4>Everything seemed to be gooar that. Oh my god, if

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<v Speaker 4>Trump does somehow when the stocks are going to set off.

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<v Speaker 4>Paul Cruitman, if you remember, was asked to predict when

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<v Speaker 4>the Republic when the stock market would recover, and his

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<v Speaker 4>reply was how about never?

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<v Speaker 3>That was Bloomberg opinion columnist John Authors sticking with the election.

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<v Speaker 3>It's close, needless to say, and that has some political

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<v Speaker 3>analysts fueling visions of a sequel to the two thousand election.

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<v Speaker 3>If you're of a certain age, you know exactly what

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<v Speaker 3>I'm talking about. When it comes to the state of Florida,

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<v Speaker 3>the Supreme Court determining the outcome, remember the Hanging Chad.

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<v Speaker 3>Despite potential election litigation in various states, the Supreme Court

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<v Speaker 3>is not likely to determine the winner this time around.

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<v Speaker 3>Bloomberg New Supreme Court reporter Greig Store lays down the

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<v Speaker 3>reasons why.

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<v Speaker 7>One of them is legal and one of them is mathematical.

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<v Speaker 7>The legal issue is that the Supreme Court in recent

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<v Speaker 7>years has sort of narrowed the scope, narrowed the universe

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<v Speaker 7>of issues that might actually get there. So there was

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<v Speaker 7>a case last year, you may recall. It had to

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<v Speaker 7>do with the power of state legislatures and in particular,

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<v Speaker 7>whether the Supreme Court could overrule state supreme courts in

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<v Speaker 7>interpreting their own election laws. And what the Supreme Court

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<v Speaker 7>said was, we're not going to adopt this theory that

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<v Speaker 7>says state supreme courts don't have any role here, and

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<v Speaker 7>so that to some degree limited the Supreme Court's future involvement.

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<v Speaker 8>And then the second thing is math.

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<v Speaker 7>So I am old enough to remember the hanging chads

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<v Speaker 7>in Bushtigor and that was a fight over five hundred

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<v Speaker 7>and thirty seven votes in a single state that was

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<v Speaker 7>going to determine the outcome of the election. And unless

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<v Speaker 7>you have that sort of dynamic, then there's not the

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<v Speaker 7>opportunity for the Supreme Court if it wants to get involved,

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<v Speaker 7>to resolve a single legal issue and effectively resolve the election.

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<v Speaker 3>But greg at the same time, it doesn't mean there

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<v Speaker 3>isn't going to be legal challenges regardless of the outcome here.

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<v Speaker 3>And you write about that the wow, more than one

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<v Speaker 3>hundred lawsuits already that are shaping the twin twenty four

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<v Speaker 3>US presidential election. So just because it won't be decided

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<v Speaker 3>or I won't say won't, it's unlikely to be decided

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<v Speaker 3>by the Supreme Court. Doesn't mean the lawyers will not

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<v Speaker 3>be getting paid.

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<v Speaker 7>They will be getting paid, and we'll get some things

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<v Speaker 7>going to the Supreme Court, much like we did in

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<v Speaker 7>twenty twenty. If you recall, there were a lot of

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<v Speaker 7>things that came to the Supreme Court. Now, some of

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<v Speaker 7>those were pandemic related, particular issues involving voting by mail

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<v Speaker 7>that we hadn't dealt with before. But even after the election,

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<v Speaker 7>he had that effort and really an unusual effort by

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<v Speaker 7>Texas to try to overturn the results in four other states,

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<v Speaker 7>and the Trump campaign, through its weight behind that, the

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<v Speaker 7>Supreme Court had no interest in that. We've already got

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<v Speaker 7>a couple things that had made it to the Supreme Court.

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<v Speaker 7>Now there was something filed today having to do with

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<v Speaker 7>efforts by Virginia, and of course that's not a swing state,

0:12:50.160 --> 0:12:54.240
<v Speaker 7>but Virginia is trying to remove about sixteen hundred people

0:12:54.280 --> 0:12:57.000
<v Speaker 7>from their voter rules and there's a dispute over that

0:12:57.000 --> 0:12:57.880
<v Speaker 7>that is now at.

0:12:57.760 --> 0:12:59.000
<v Speaker 8>The Supreme Court.

0:12:59.400 --> 0:13:03.120
<v Speaker 7>What at this point is probably unlikely is one of

0:13:03.160 --> 0:13:06.280
<v Speaker 7>these election determining fights like versus Gore.

0:13:06.600 --> 0:13:09.559
<v Speaker 6>So this is good, we're so concerned or so much

0:13:09.559 --> 0:13:13.240
<v Speaker 6>has been written about the politicization of the US Supreme Court.

0:13:13.880 --> 0:13:16.400
<v Speaker 6>So is this a good thing in your view as

0:13:16.440 --> 0:13:19.240
<v Speaker 6>you watch what may happen and what is expected to

0:13:19.280 --> 0:13:22.600
<v Speaker 6>be potentially a fair amount of litigation after the election results,

0:13:22.640 --> 0:13:23.720
<v Speaker 6>depending on the outcome.

0:13:24.280 --> 0:13:27.240
<v Speaker 7>I think certainly from the standpoint of the Supreme Court's

0:13:27.640 --> 0:13:31.360
<v Speaker 7>institutional standing, having them not be involved in the case

0:13:31.520 --> 0:13:34.280
<v Speaker 7>is a good thing. The Supreme Court took a hit

0:13:34.360 --> 0:13:37.000
<v Speaker 7>with Bush versus Gore, and of course the Court's been

0:13:37.080 --> 0:13:41.960
<v Speaker 7>under enormous scrutiny the last few years. You've got the

0:13:42.000 --> 0:13:44.240
<v Speaker 7>three Trump appointees have joined the court, made it much

0:13:44.240 --> 0:13:48.559
<v Speaker 7>more conservative, some really far reaching rulings like the abortion one,

0:13:49.000 --> 0:13:51.240
<v Speaker 7>and then all these ethical scandals that have.

0:13:53.520 --> 0:13:54.520
<v Speaker 8>Surrounded the court.

0:13:55.080 --> 0:13:59.280
<v Speaker 7>And you know, the court, every justice likes to say,

0:13:59.360 --> 0:14:02.400
<v Speaker 7>we don't do politics here, we do law. But any

0:14:02.520 --> 0:14:06.960
<v Speaker 7>decision that they issue that determines or significantly shapes the

0:14:06.960 --> 0:14:11.680
<v Speaker 7>outcome of the presidential election undoubtedly is going to look political,

0:14:11.760 --> 0:14:13.640
<v Speaker 7>and that's not the kind of thing they want.

0:14:13.920 --> 0:14:17.520
<v Speaker 3>So it raises the question about how the campaigns are

0:14:17.760 --> 0:14:20.760
<v Speaker 3>dealing with this ahead of time. Given that, and we

0:14:20.800 --> 0:14:24.400
<v Speaker 3>spoke a couple of weeks ago to reporters who around

0:14:24.600 --> 0:14:27.360
<v Speaker 3>the big take about the way that you know, Greg,

0:14:27.400 --> 0:14:31.480
<v Speaker 3>this isn't really how the founders envisioned democracy, working the

0:14:31.560 --> 0:14:35.880
<v Speaker 3>idea of votes then being litigated or elections being litigated.

0:14:36.360 --> 0:14:39.000
<v Speaker 3>What are their campaigns doing to prepare for the scenarios here.

0:14:40.120 --> 0:14:44.400
<v Speaker 7>Well, certainly they are laying legal groundwork. Yes, there are

0:14:45.320 --> 0:14:49.240
<v Speaker 7>scores of cases that are out there now that potentially

0:14:49.320 --> 0:14:51.400
<v Speaker 7>could just be, you know, one step away from the

0:14:51.440 --> 0:14:54.200
<v Speaker 7>Supreme Court. If it turns out that I'm wrong in

0:14:54.200 --> 0:14:57.840
<v Speaker 7>one of those cases, is enough to shift the balance here.

0:14:57.880 --> 0:15:01.200
<v Speaker 7>So that's one thing they're making, making themselves ready. And

0:15:01.200 --> 0:15:04.440
<v Speaker 7>then the second thing is both sides have these incredible

0:15:04.520 --> 0:15:08.760
<v Speaker 7>legal teams that have tried to think through and brief

0:15:08.800 --> 0:15:13.040
<v Speaker 7>in advance every issue under the sun, so that if

0:15:13.120 --> 0:15:17.360
<v Speaker 7>it turns out a particular issue is something that they

0:15:17.480 --> 0:15:20.360
<v Speaker 7>need in a Supreme Court filing that they need to

0:15:20.360 --> 0:15:21.360
<v Speaker 7>get in within.

0:15:21.240 --> 0:15:23.360
<v Speaker 8>Forty eight hours, they already have it at the ready.

0:15:24.200 --> 0:15:26.760
<v Speaker 7>So both sides are ready to go in the event

0:15:27.360 --> 0:15:30.600
<v Speaker 7>we end up with a Supreme Court showdown.

0:15:31.480 --> 0:15:34.280
<v Speaker 8>What we won't know is whether that's going to be necessary.

0:15:34.680 --> 0:15:37.720
<v Speaker 6>You know, you finish the piece with a quote and

0:15:37.760 --> 0:15:39.480
<v Speaker 6>forgive me, I'm just trust to you who said this.

0:15:40.000 --> 0:15:43.360
<v Speaker 6>And what you get into the quote is you need

0:15:43.400 --> 0:15:45.680
<v Speaker 6>one state being a tipping point and a very narrow

0:15:45.720 --> 0:15:48.040
<v Speaker 6>margin of victory, and then you need some kind of

0:15:48.120 --> 0:15:50.160
<v Speaker 6>hook that gets the Supreme Court's attention. And I do

0:15:50.240 --> 0:15:55.000
<v Speaker 6>think about that, greg, about what would ultimately get the

0:15:55.040 --> 0:15:57.040
<v Speaker 6>Supreme Court's attention here.

0:15:57.680 --> 0:16:01.120
<v Speaker 7>Yeah, and so just going back to to thousand, you

0:16:01.200 --> 0:16:04.320
<v Speaker 7>mentioned those hanging chads. That was something that got the

0:16:04.320 --> 0:16:07.360
<v Speaker 7>Supreme Court's attention. It got everybody's attention, this notion that

0:16:08.080 --> 0:16:12.880
<v Speaker 7>around the state of Florida, it wasn't clear whether these

0:16:13.000 --> 0:16:15.160
<v Speaker 7>votes were going to counter or not, and it was

0:16:15.200 --> 0:16:19.400
<v Speaker 7>they were being judged by individuals who didn't have clear standards,

0:16:19.440 --> 0:16:22.000
<v Speaker 7>and so that got their attention. And then you add

0:16:22.040 --> 0:16:25.360
<v Speaker 7>into it the fact that there was at least officially

0:16:25.400 --> 0:16:27.400
<v Speaker 7>a five hundred and thirty seven vote.

0:16:27.160 --> 0:16:31.320
<v Speaker 8>Margin, and so you would need something like that.

0:16:31.480 --> 0:16:34.320
<v Speaker 7>And you know, it doesn't necessarily necessarily have to be

0:16:34.440 --> 0:16:37.280
<v Speaker 7>just one issue, just one hook. It could be a

0:16:37.320 --> 0:16:40.920
<v Speaker 7>couple of them that add up, but something where there's

0:16:40.960 --> 0:16:45.240
<v Speaker 7>some dispute where one side can say, hey, those whatever

0:16:45.280 --> 0:16:48.200
<v Speaker 7>two thousand votes shouldn't have counted, and that might have

0:16:48.280 --> 0:16:51.360
<v Speaker 7>been enough to shift the balance. That would be the

0:16:51.760 --> 0:16:54.160
<v Speaker 7>sort of thing where the Supreme Court pretty much would

0:16:54.160 --> 0:16:54.920
<v Speaker 7>have to get involved.

0:16:54.960 --> 0:16:56.400
<v Speaker 6>Hey, one thing I want to ask you. I think

0:16:56.440 --> 0:17:01.200
<v Speaker 6>we constantly just default to that the litigation would come

0:17:01.240 --> 0:17:04.040
<v Speaker 6>from the Trump team, But there is potential that there

0:17:04.040 --> 0:17:06.760
<v Speaker 6>could be litigation on each side, especially if it's super close.

0:17:06.880 --> 0:17:09.160
<v Speaker 8>Yes, yeah, absolutely.

0:17:09.200 --> 0:17:12.119
<v Speaker 7>I mean if if you know, imagine a world where

0:17:12.320 --> 0:17:14.560
<v Speaker 7>you know, Donald Trump, Pennsylvania is the key state and

0:17:14.600 --> 0:17:19.280
<v Speaker 7>Donald Trump wins it by a few hundred votes, absolutely,

0:17:19.320 --> 0:17:22.479
<v Speaker 7>the Harris campaign will be looking for ways to challenge.

0:17:22.480 --> 0:17:24.600
<v Speaker 7>And I mean part of you know, most states have

0:17:25.320 --> 0:17:29.199
<v Speaker 7>provisions if an election there is exceptionally close, like it

0:17:29.240 --> 0:17:31.879
<v Speaker 7>was in Florida, there's a provision there that says the

0:17:32.000 --> 0:17:35.440
<v Speaker 7>loser can challenge the result, and there's a whole process there,

0:17:35.480 --> 0:17:39.840
<v Speaker 7>and al Gore's campaign followed that process and it eventually

0:17:39.920 --> 0:17:43.480
<v Speaker 7>led to the US Supreme Court. So if there's a

0:17:43.520 --> 0:17:46.040
<v Speaker 7>state like that that is really close, no matter who's

0:17:46.040 --> 0:17:48.560
<v Speaker 7>on the losing side, you can bet they will ask

0:17:48.600 --> 0:17:51.920
<v Speaker 7>for a recount if that's allowed, you know, challenge any

0:17:52.080 --> 0:17:57.280
<v Speaker 7>votes that might be questionable, and you know, ultimately though,

0:17:58.000 --> 0:18:00.199
<v Speaker 7>when it gets to the Supreme Court, you know, the

0:18:00.280 --> 0:18:04.040
<v Speaker 7>question will be in part you know, is this a

0:18:04.080 --> 0:18:06.320
<v Speaker 7>court that's gonna you know, see our side of the

0:18:06.400 --> 0:18:07.840
<v Speaker 7>issue on one of those things.

0:18:08.560 --> 0:18:11.760
<v Speaker 3>Okay, so how are you how sharp is your pencil

0:18:12.000 --> 0:18:14.840
<v Speaker 3>in terms of how you're thinking about your job after

0:18:15.119 --> 0:18:15.800
<v Speaker 3>election day?

0:18:16.600 --> 0:18:18.879
<v Speaker 7>Well, you know, as the Supreme Court reporter, I have

0:18:18.960 --> 0:18:21.560
<v Speaker 7>a little bit of a luxury that almost everything goes

0:18:21.600 --> 0:18:25.359
<v Speaker 7>through a couple of lower courts beforehand. So you know,

0:18:25.800 --> 0:18:29.200
<v Speaker 7>some other colleagues will be following cases at the lower

0:18:29.240 --> 0:18:31.720
<v Speaker 7>court level. That's where it will start to play out,

0:18:31.840 --> 0:18:35.640
<v Speaker 7>and the Supreme Court probably will stay its hand.

0:18:35.680 --> 0:18:35.840
<v Speaker 5>Now.

0:18:35.920 --> 0:18:38.560
<v Speaker 7>You know, you mentioned how long bushby Gore went along.

0:18:39.240 --> 0:18:41.359
<v Speaker 7>You know, that was decided on December the twelfth. The

0:18:41.400 --> 0:18:44.479
<v Speaker 7>Supreme Court agreed to take that particular case up on

0:18:44.560 --> 0:18:47.520
<v Speaker 7>December the ninth, so you know, quite a lot had

0:18:47.640 --> 0:18:51.400
<v Speaker 7>happened between you know, when the last vote was cast

0:18:51.440 --> 0:18:54.800
<v Speaker 7>on election day and when the Supreme Court jumped in

0:18:54.800 --> 0:18:55.600
<v Speaker 7>in that case.

0:18:56.119 --> 0:18:57.440
<v Speaker 8>And so there's you know.

0:18:57.920 --> 0:19:00.480
<v Speaker 7>Different cases, different elections will play out different ways. But

0:19:00.520 --> 0:19:04.680
<v Speaker 7>it's certainly very very possible that any Supreme Court involvement,

0:19:04.880 --> 0:19:08.240
<v Speaker 7>should it happen in this election, won't happen for a

0:19:08.320 --> 0:19:10.720
<v Speaker 7>number of weeks.

0:19:09.720 --> 0:19:12.440
<v Speaker 6>Interesting stuff, Like I said, how many times have we

0:19:12.480 --> 0:19:14.760
<v Speaker 6>said interesting the US election?

0:19:14.840 --> 0:19:16.879
<v Speaker 3>Do we talk about Elon Musk at all? And the

0:19:16.960 --> 0:19:17.760
<v Speaker 3>must giveaways?

0:19:18.000 --> 0:19:18.160
<v Speaker 9>Oh?

0:19:18.200 --> 0:19:20.440
<v Speaker 10>Go ahead, Greg, Yeah, we should get Greg.

0:19:20.760 --> 0:19:23.640
<v Speaker 3>I'm curious how you're thinking about this, you know, from

0:19:23.640 --> 0:19:26.320
<v Speaker 3>a legal standpoint, from your perch, How are you watching

0:19:27.000 --> 0:19:27.720
<v Speaker 3>these giveaways?

0:19:28.760 --> 0:19:31.399
<v Speaker 7>Well, there are certainly questions about those. I'm not going

0:19:31.440 --> 0:19:33.600
<v Speaker 7>to pretend like I know what the answer is. But

0:19:34.080 --> 0:19:38.040
<v Speaker 7>to the extent money is going to people, because they

0:19:38.080 --> 0:19:40.800
<v Speaker 7>are only to people who have registered to vote, there

0:19:40.840 --> 0:19:45.639
<v Speaker 7>are questions about whether that is legal. Now that being said,

0:19:45.880 --> 0:19:50.360
<v Speaker 7>I'm not yet sure how that would translate to something

0:19:50.400 --> 0:19:53.720
<v Speaker 7>that would determine who wins or who loses in this case,

0:19:53.960 --> 0:19:56.679
<v Speaker 7>into something that is, you know, Trump v. Harris like,

0:19:58.160 --> 0:20:00.520
<v Speaker 7>but it is certainly an issue worth while watching. I

0:20:00.600 --> 0:20:04.480
<v Speaker 7>am quite sure that the Harris campaign is thinking about

0:20:04.480 --> 0:20:06.520
<v Speaker 7>this and how they might use it if if they

0:20:06.560 --> 0:20:08.200
<v Speaker 7>need you to make an argument in court.

0:20:08.640 --> 0:20:12.560
<v Speaker 3>That was Bloomberg News Supreme Court reporter Greg Store coming

0:20:12.600 --> 0:20:16.000
<v Speaker 3>up leadership any Time of Crisis with the President and

0:20:16.080 --> 0:20:19.800
<v Speaker 3>CEO of the Nine to eleven Memorial and Museum. You're

0:20:19.840 --> 0:20:22.879
<v Speaker 3>listening to Bloomberg Business Week This is Bloomberg.

0:20:23.920 --> 0:20:27.440
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:27.480 --> 0:20:30.720
<v Speaker 2>live weekday afternoons from two to five pm. Easter Listen

0:20:30.760 --> 0:20:32.920
<v Speaker 2>on Apple card Play and then brought auto with a

0:20:32.920 --> 0:20:35.960
<v Speaker 2>Bloomberg Business app or watch us live on YouTube.

0:20:37.400 --> 0:20:38.880
<v Speaker 6>All right, Tim, So, you know, we often look at

0:20:38.920 --> 0:20:42.040
<v Speaker 6>history and past market cycles, past economic cycles to really

0:20:42.119 --> 0:20:45.080
<v Speaker 6>understand where we are today and where we may be going.

0:20:45.600 --> 0:20:47.640
<v Speaker 6>It's not a given, as shocks like the Great Financial

0:20:47.640 --> 0:20:50.560
<v Speaker 6>Crisis and the global pandemic showed us, but the past

0:20:50.600 --> 0:20:53.800
<v Speaker 6>can help in gaming out the possible scenarios that investors

0:20:53.840 --> 0:20:55.560
<v Speaker 6>and all of us may be dealing with. And that

0:20:55.680 --> 0:20:59.119
<v Speaker 6>is something that the nine to eleven Memorial Museum thinks about.

0:20:59.280 --> 0:21:02.280
<v Speaker 6>As they note on their website, nearly a quarter century

0:21:02.280 --> 0:21:05.000
<v Speaker 6>after nine to eleven, the lessons learned have emerged with

0:21:05.040 --> 0:21:09.320
<v Speaker 6>deeper clarity, highlighting key elements of crisis response and continuity

0:21:09.560 --> 0:21:13.320
<v Speaker 6>that resonate deeply with a new generation of professionals at companies, agencies,

0:21:13.600 --> 0:21:16.200
<v Speaker 6>and a range of organizations.

0:21:15.560 --> 0:21:17.679
<v Speaker 3>With more with us here in the studio, the President

0:21:17.720 --> 0:21:20.080
<v Speaker 3>and CEO of the nine to eleven Memorial and Museum,

0:21:20.080 --> 0:21:23.120
<v Speaker 3>Beth Hellman. The Memorial and museum. It is supported by

0:21:23.119 --> 0:21:27.240
<v Speaker 3>Michael R. Bloomberg, founder of Bloomberg Philanthropies and at Bloomberg LP.

0:21:27.520 --> 0:21:30.200
<v Speaker 6>Yeah, very involved in the nine to eleven memorial and museum.

0:21:30.240 --> 0:21:30.400
<v Speaker 3>Beth.

0:21:30.560 --> 0:21:32.560
<v Speaker 6>Great to have you here with us. We've kind of

0:21:32.560 --> 0:21:35.680
<v Speaker 6>been talking about the environment before we got going. Nine

0:21:35.720 --> 0:21:37.879
<v Speaker 6>to eleven for me always makes me kind of stop

0:21:37.880 --> 0:21:40.840
<v Speaker 6>and think about where we are in terms of, first

0:21:40.880 --> 0:21:43.560
<v Speaker 6>of all, what happened that day and how we as

0:21:43.640 --> 0:21:47.640
<v Speaker 6>Americans began to think very different differently. I think it's

0:21:47.640 --> 0:21:49.639
<v Speaker 6>safe to say about what national security means and the

0:21:49.720 --> 0:21:52.560
<v Speaker 6>role of geopolitics in it all. How do you guys

0:21:52.560 --> 0:21:55.680
<v Speaker 6>continue to think about what security means here for Americans?

0:21:56.119 --> 0:21:58.600
<v Speaker 1>For you, Carol and for me, nine to eleven brings

0:21:58.680 --> 0:22:01.720
<v Speaker 1>up those memories. There were a hundred million Americans born

0:22:01.760 --> 0:22:04.840
<v Speaker 1>since we're too young to remember nine to eleven for themselves. Yet,

0:22:04.880 --> 0:22:07.520
<v Speaker 1>there's so many crises upon us now and ahead of

0:22:07.600 --> 0:22:12.119
<v Speaker 1>us environmental, geopolitical health that will need the kind of

0:22:12.200 --> 0:22:14.520
<v Speaker 1>leadership that helped us respond to nine to eleven in

0:22:14.600 --> 0:22:17.199
<v Speaker 1>order to get through. So for us, we've realized the

0:22:17.240 --> 0:22:20.800
<v Speaker 1>crisis leadership programs that we've built over time are responsive

0:22:20.800 --> 0:22:23.879
<v Speaker 1>to that tremendous need out there right now for people

0:22:24.040 --> 0:22:27.639
<v Speaker 1>at all levels of leadership within an organization, public and

0:22:27.680 --> 0:22:30.040
<v Speaker 1>private sectors to figure out how they can respond to

0:22:30.119 --> 0:22:31.440
<v Speaker 1>crises they didn't anticipate.

0:22:32.200 --> 0:22:34.120
<v Speaker 3>For me, it's hard to think about this as being

0:22:34.240 --> 0:22:36.840
<v Speaker 3>history because it didn't happen to It didn't feel like

0:22:36.880 --> 0:22:39.000
<v Speaker 3>it happened that long ago. And I think for many

0:22:39.040 --> 0:22:41.679
<v Speaker 3>of us who were alive and old enough to remember

0:22:41.760 --> 0:22:45.040
<v Speaker 3>what happened, it's still so vivid and the images are

0:22:45.080 --> 0:22:48.040
<v Speaker 3>still so vivid in our heads. But how at the

0:22:48.119 --> 0:22:52.639
<v Speaker 3>museum and at the memorial do you convey what happened

0:22:52.680 --> 0:22:55.639
<v Speaker 3>that day and what happened after to a generation that

0:22:55.680 --> 0:22:57.480
<v Speaker 3>didn't live it well.

0:22:57.520 --> 0:22:59.800
<v Speaker 1>I think the value of visiting the Memorial in the

0:23:00.320 --> 0:23:03.439
<v Speaker 1>in person is really unmatched in helping to convey what

0:23:03.560 --> 0:23:07.080
<v Speaker 1>happened because of the power of the design, of the text,

0:23:07.200 --> 0:23:09.840
<v Speaker 1>of the images, of the care that went into virtually

0:23:09.880 --> 0:23:13.639
<v Speaker 1>every decision about how our visitors encounter the memorial and

0:23:13.720 --> 0:23:16.359
<v Speaker 1>then the museum itself. We have work, though to reach

0:23:16.400 --> 0:23:19.000
<v Speaker 1>the people who can't come in person to the memorial

0:23:19.040 --> 0:23:21.040
<v Speaker 1>and to the museum, So we now have programs that

0:23:21.160 --> 0:23:24.280
<v Speaker 1>actually translate some of those lessons outside. But I do

0:23:24.320 --> 0:23:26.919
<v Speaker 1>think you're right that there's a lot of people who

0:23:27.000 --> 0:23:30.080
<v Speaker 1>that's so vivid for they have a hard time unpacking it.

0:23:30.320 --> 0:23:34.120
<v Speaker 1>Yet it's distant enough in time that we've had time

0:23:34.160 --> 0:23:36.639
<v Speaker 1>to study and to actually understand what happened, and we

0:23:36.720 --> 0:23:40.440
<v Speaker 1>realize that people came from across New York, the country,

0:23:40.520 --> 0:23:43.199
<v Speaker 1>the world to respond to those terrorist attacks and to

0:23:43.240 --> 0:23:45.760
<v Speaker 1>help New York and the other and the Pentagon, and

0:23:45.760 --> 0:23:48.200
<v Speaker 1>then in Shanksville, Pennsylvania, the other sites and the people

0:23:48.200 --> 0:23:51.480
<v Speaker 1>who were affected start to heal, to recover and to rebuild,

0:23:51.680 --> 0:23:53.600
<v Speaker 1>and to make sure we remember what was lost that

0:23:53.680 --> 0:23:54.040
<v Speaker 1>day too.

0:23:54.240 --> 0:23:54.440
<v Speaker 9>Beth.

0:23:54.480 --> 0:23:56.679
<v Speaker 6>We always talk about the Great Financial Crisis and how

0:23:56.720 --> 0:23:59.480
<v Speaker 6>the role of CFO changed dramatically, right because they had

0:23:59.520 --> 0:24:02.399
<v Speaker 6>to figure out how to keep companies their company around.

0:24:02.440 --> 0:24:05.600
<v Speaker 6>Same thing for the global pandemic nine to eleven. In

0:24:05.720 --> 0:24:08.680
<v Speaker 6>terms of what is needed in leaders today, how has

0:24:08.680 --> 0:24:09.479
<v Speaker 6>that impacted it?

0:24:10.119 --> 0:24:10.960
<v Speaker 3>You hit it.

0:24:11.080 --> 0:24:14.840
<v Speaker 1>The security function that we didn't really realize was at

0:24:14.840 --> 0:24:17.600
<v Speaker 1>the center of what every organizational leader has to reckon

0:24:17.640 --> 0:24:20.080
<v Speaker 1>with after nine to eleven was certainly on the table,

0:24:20.119 --> 0:24:23.320
<v Speaker 1>and our Summit on Security brings together private and public

0:24:23.359 --> 0:24:26.960
<v Speaker 1>sector leaders in the security fields who are working to

0:24:26.960 --> 0:24:29.600
<v Speaker 1>make sure their employees are safe, their customers, their clients,

0:24:29.680 --> 0:24:33.280
<v Speaker 1>their communities are safe because without that baseline of knowing

0:24:33.280 --> 0:24:36.200
<v Speaker 1>what to expect and how you'd respond when something goes wrong,

0:24:36.240 --> 0:24:38.399
<v Speaker 1>because we do know it will go wrong. It's that

0:24:39.240 --> 0:24:41.840
<v Speaker 1>ability to respond in a crisis that nine to eleven

0:24:42.240 --> 0:24:44.080
<v Speaker 1>taught us we all really have to have from the

0:24:44.119 --> 0:24:45.720
<v Speaker 1>top to the bottom of our organizations.

0:24:45.840 --> 0:24:47.199
<v Speaker 6>Well, I was going to ask you, because when you

0:24:47.240 --> 0:24:51.280
<v Speaker 6>came in, I was like, okay, underachiever. You have a

0:24:51.320 --> 0:24:54.160
<v Speaker 6>BS in electrical engineering from Duke An MA in history

0:24:54.200 --> 0:24:56.760
<v Speaker 6>from the University of Pennsylvania, a jd from Yale Law School,

0:24:56.960 --> 0:24:59.760
<v Speaker 6>PhD in history from Yale University, and I feel like

0:25:00.000 --> 0:25:03.000
<v Speaker 6>it just gives you what an incredible view on kind

0:25:03.000 --> 0:25:05.359
<v Speaker 6>of the world and how we look at things. What

0:25:05.480 --> 0:25:07.959
<v Speaker 6>are the specific skills that you think a leader needs

0:25:08.000 --> 0:25:11.600
<v Speaker 6>today in order to deal with threats that may come

0:25:12.000 --> 0:25:13.760
<v Speaker 6>from all different places.

0:25:15.080 --> 0:25:18.600
<v Speaker 1>I think that being empathetic and understanding the impact that

0:25:19.080 --> 0:25:21.560
<v Speaker 1>any crisis has on the people who are experiencing it,

0:25:21.920 --> 0:25:25.159
<v Speaker 1>Realizing that they're already responding and their contributions have to

0:25:25.200 --> 0:25:28.520
<v Speaker 1>be recognized. Being able to communicate effectively. It's so important today,

0:25:28.880 --> 0:25:31.120
<v Speaker 1>you can't communicate too often or too much and then

0:25:31.320 --> 0:25:34.520
<v Speaker 1>being calm and decisive. And that's really what some of

0:25:34.560 --> 0:25:38.040
<v Speaker 1>the iconic leaders that speak actually in our new Leading

0:25:38.040 --> 0:25:44.480
<v Speaker 1>Through Crisis program like who like Mike Bloomberg, Bob Eiger, Kenshinal,

0:25:45.040 --> 0:25:50.080
<v Speaker 1>Bill McRaven. There are in many others, including first responders

0:25:50.200 --> 0:25:54.240
<v Speaker 1>and private sector leaders, principles of schools who were actually

0:25:54.280 --> 0:25:57.120
<v Speaker 1>on that day figuring out what to do. And as

0:25:57.119 --> 0:25:59.680
<v Speaker 1>they reflect on and they talk about that, it really

0:26:00.200 --> 0:26:02.399
<v Speaker 1>honestly gives you hope that people can figure out what

0:26:02.440 --> 0:26:04.800
<v Speaker 1>to do and they can come together when a crisis hits.

0:26:05.080 --> 0:26:08.080
<v Speaker 3>The thing is, though, is security has changed a lot

0:26:08.240 --> 0:26:12.000
<v Speaker 3>in terms of what threats are in you know, a

0:26:12.080 --> 0:26:15.200
<v Speaker 3>quarter of a century. We have this whole element of

0:26:15.720 --> 0:26:23.960
<v Speaker 3>what foreign states are bad actors could do online targeting, infrastructure, cybersecurity,

0:26:24.359 --> 0:26:27.719
<v Speaker 3>ransomware and the like. How have you seen the conversations

0:26:27.720 --> 0:26:31.720
<v Speaker 3>around that shift from those types of targets to perhaps,

0:26:32.000 --> 0:26:35.680
<v Speaker 3>you know, not a stadium necessarily full of people, right.

0:26:35.720 --> 0:26:39.000
<v Speaker 1>It's interesting. One of the speakers in this year's Summit

0:26:39.040 --> 0:26:42.399
<v Speaker 1>on Security is the NFL head of Security. So, Kathy Lanier,

0:26:43.560 --> 0:26:45.240
<v Speaker 1>you know, no one who's taking care of people at

0:26:45.240 --> 0:26:48.159
<v Speaker 1>a stadium thinks they don't have to worry about cybersecurity.

0:26:48.320 --> 0:26:50.800
<v Speaker 1>They realize there's a connection between the virtual and the real.

0:26:50.920 --> 0:26:53.520
<v Speaker 1>That means that their preparedness in all of those arenas

0:26:53.560 --> 0:26:56.080
<v Speaker 1>that you just described as essential to the actual physical

0:26:56.080 --> 0:27:00.400
<v Speaker 1>security of people. Protecting our water safety, for instance, isn't

0:27:00.400 --> 0:27:02.720
<v Speaker 1>a technical challenge as well as a physical challenge. So

0:27:02.760 --> 0:27:05.240
<v Speaker 1>I think what we've realized is that the proliferation of

0:27:05.280 --> 0:27:08.360
<v Speaker 1>different threats has just broadened the scope of the security

0:27:08.400 --> 0:27:11.280
<v Speaker 1>professionals responsible and the leaders responsible for keeping all those

0:27:11.320 --> 0:27:13.879
<v Speaker 1>different elements of our basic security in place.

0:27:14.760 --> 0:27:18.439
<v Speaker 6>Jamie Diamond said something about it being like the most

0:27:18.480 --> 0:27:21.119
<v Speaker 6>threats in terms of geopolitics that he can remember of

0:27:21.119 --> 0:27:22.960
<v Speaker 6>his career, and forgive me if I'm not quoting it,

0:27:23.280 --> 0:27:27.040
<v Speaker 6>you know exactly. I mean, he's Jp Morgan has hired

0:27:27.040 --> 0:27:30.440
<v Speaker 6>someone on climate, but he's looking at the world and

0:27:30.480 --> 0:27:33.240
<v Speaker 6>where the threats are coming from is the world? I

0:27:33.280 --> 0:27:34.960
<v Speaker 6>don't know, how do you how do you assess it?

0:27:35.040 --> 0:27:36.960
<v Speaker 6>How dangerous is it? I mean, I know I asked

0:27:37.000 --> 0:27:39.600
<v Speaker 6>for the panel I did for you guys in the

0:27:39.680 --> 0:27:41.720
<v Speaker 6>upcoming summit, and it was NICKI Haley and it was

0:27:41.760 --> 0:27:45.480
<v Speaker 6>Tom nyd's former US Ambassador to Israel, Nikki Haley, of course,

0:27:45.560 --> 0:27:49.199
<v Speaker 6>former US Ambassador to the UN. They both I think

0:27:49.240 --> 0:27:51.120
<v Speaker 6>it was Nicki who said eight, and I think Tom

0:27:51.160 --> 0:27:54.560
<v Speaker 6>said incredibly dangerous. I mean, these are people who understand

0:27:54.600 --> 0:27:57.879
<v Speaker 6>it from the inside, and I just wonder, do you

0:27:57.880 --> 0:28:00.280
<v Speaker 6>feel like we're getting better information? Do you feel like

0:28:01.400 --> 0:28:04.440
<v Speaker 6>leaders are feeling more stressed? Like, how do you see it?

0:28:05.440 --> 0:28:09.400
<v Speaker 1>I think that eternal vigilance is always the lesson of

0:28:09.560 --> 0:28:12.280
<v Speaker 1>people trying to keep others safe and protect our communities

0:28:12.280 --> 0:28:15.080
<v Speaker 1>and our nation in the world. I think that we

0:28:15.119 --> 0:28:18.960
<v Speaker 1>didn't realize how dangerous the world was on September tenth.

0:28:19.200 --> 0:28:20.280
<v Speaker 6>We never thought something.

0:28:20.040 --> 0:28:21.000
<v Speaker 9>Like that thousand one.

0:28:21.840 --> 0:28:24.280
<v Speaker 1>You know, we felt differently on the twelfth, and then

0:28:24.280 --> 0:28:25.840
<v Speaker 1>we responded since.

0:28:25.960 --> 0:28:28.439
<v Speaker 3>You know you were talking about this, Carol, and you

0:28:28.520 --> 0:28:31.240
<v Speaker 3>brought this up too. We never thought it would happen.

0:28:31.359 --> 0:28:34.560
<v Speaker 3>I can remember January sixth, twenty twenty one. I think

0:28:34.600 --> 0:28:37.560
<v Speaker 3>a lot of Americans never thought that would happen. And

0:28:37.880 --> 0:28:43.560
<v Speaker 3>that type of attack actually happening from within the United States.

0:28:43.600 --> 0:28:46.480
<v Speaker 3>What do you hear from executives at a time when

0:28:46.480 --> 0:28:48.880
<v Speaker 3>there's serious political turmoil in our country? Just a few

0:28:48.920 --> 0:28:54.160
<v Speaker 3>days away from the election, how they're navigating this idea that, yes,

0:28:54.240 --> 0:28:56.160
<v Speaker 3>there's tension within our country too.

0:28:57.760 --> 0:29:01.720
<v Speaker 1>I think that a sense of community, creating the kind

0:29:01.720 --> 0:29:05.600
<v Speaker 1>of culture within an organization that can hold people through

0:29:05.680 --> 0:29:09.040
<v Speaker 1>difficult times, and also remembering I'm trained as a historian.

0:29:09.600 --> 0:29:11.880
<v Speaker 1>I think we've seen a lot before. We've forgotten about

0:29:11.920 --> 0:29:13.320
<v Speaker 1>a lot of what we've seen. The nine to eleven

0:29:13.360 --> 0:29:16.280
<v Speaker 1>Memorial Museum is committed to making sure we don't forget

0:29:16.320 --> 0:29:18.720
<v Speaker 1>what happened on nine to eleven, but we have forgotten

0:29:18.720 --> 0:29:22.120
<v Speaker 1>many of the tremendous challenges and periods of turmoil that

0:29:22.160 --> 0:29:24.880
<v Speaker 1>we've been through in the United States. They're communicated in

0:29:24.920 --> 0:29:27.240
<v Speaker 1>a different way now and they feel more and less immediate,

0:29:27.280 --> 0:29:29.160
<v Speaker 1>I think, than they have in the past. Two different

0:29:29.200 --> 0:29:31.880
<v Speaker 1>sectors of our world. But it's really important to remember

0:29:31.920 --> 0:29:34.360
<v Speaker 1>we've been through a lot, and people are resilient, and

0:29:35.720 --> 0:29:39.280
<v Speaker 1>there's rarely one point in time that determines winning or losing,

0:29:39.640 --> 0:29:42.480
<v Speaker 1>and you know, so continuing regardless of the consequences, I

0:29:42.520 --> 0:29:46.760
<v Speaker 1>think is important to every agency and organization and company

0:29:46.760 --> 0:29:47.200
<v Speaker 1>out there.

0:29:47.400 --> 0:29:49.160
<v Speaker 6>You know, it's interesting I think about that a lot.

0:29:49.200 --> 0:29:51.240
<v Speaker 6>Bath I think, you know, my dad and his three

0:29:51.240 --> 0:29:53.520
<v Speaker 6>brothers all thought in World War Two, and I wish

0:29:53.600 --> 0:29:55.760
<v Speaker 6>they were still around because I'm like, how did I

0:29:55.800 --> 0:29:58.520
<v Speaker 6>want to pick their brain about the stresses they felt

0:29:58.520 --> 0:30:00.920
<v Speaker 6>at that time versus what we feel today. I think

0:30:00.920 --> 0:30:05.680
<v Speaker 6>about with all the college campus protests around the war

0:30:05.760 --> 0:30:10.000
<v Speaker 6>between Israel and Hamas, and how we had with a

0:30:10.120 --> 0:30:12.360
<v Speaker 6>David Western or somebody who came in and said, you know,

0:30:12.440 --> 0:30:15.920
<v Speaker 6>during the sixties, right race riots and the protesting over

0:30:16.000 --> 0:30:17.640
<v Speaker 6>Vietnam War and so on and so forth, We've seen

0:30:17.680 --> 0:30:23.240
<v Speaker 6>these times before, but we didn't have social media as much,

0:30:23.320 --> 0:30:27.960
<v Speaker 6>and the velocity of information and maybe inaccurate information, false information,

0:30:28.000 --> 0:30:31.360
<v Speaker 6>And I just wonder how leaders are grappling with all

0:30:31.400 --> 0:30:34.239
<v Speaker 6>of that, you know, whether they're managing their institutions, their

0:30:34.280 --> 0:30:36.640
<v Speaker 6>employees and just trying to figure it out.

0:30:37.720 --> 0:30:40.160
<v Speaker 1>I think you're right, it's definitely different conditions the when

0:30:40.200 --> 0:30:42.280
<v Speaker 1>we face these challenges in the past. But we also

0:30:42.320 --> 0:30:43.960
<v Speaker 1>have a lot more muscle than we used to in

0:30:44.040 --> 0:30:46.080
<v Speaker 1>terms of During World War Two, it was a time

0:30:46.080 --> 0:30:49.000
<v Speaker 1>when most women didn't contribute to the economy, to the polity,

0:30:49.120 --> 0:30:51.720
<v Speaker 1>to the intellectual life of the nation, as well as

0:30:51.800 --> 0:30:55.480
<v Speaker 1>many other marginalized groups. That's a lot more intellectual firepower.

0:30:55.560 --> 0:30:57.400
<v Speaker 1>That's a lot more people who can help. It's a

0:30:57.480 --> 0:30:59.560
<v Speaker 1>lot more literal muscle that's out there. So are there

0:30:59.560 --> 0:31:01.440
<v Speaker 1>are a lot of to have a hope notwithstanding the

0:31:01.520 --> 0:31:02.800
<v Speaker 1>challenges that are out there.

0:31:03.480 --> 0:31:04.880
<v Speaker 6>The summit is coming up.

0:31:04.800 --> 0:31:08.800
<v Speaker 1>On launches on the twelfth, November twelfth, it launches and

0:31:08.800 --> 0:31:11.520
<v Speaker 1>we're very excited. Is a set of virtual programs with

0:31:11.600 --> 0:31:14.680
<v Speaker 1>the top leaders across the public and private sector, the

0:31:14.760 --> 0:31:18.400
<v Speaker 1>nation's top law enforcement official, the director of the FBI,

0:31:18.520 --> 0:31:22.080
<v Speaker 1>Christopher Ray. There's just there's a tremendous number of people

0:31:22.120 --> 0:31:24.480
<v Speaker 1>to learn from and to listen to, the director of

0:31:24.480 --> 0:31:27.000
<v Speaker 1>an agency, the administrator of an agency created after nine

0:31:27.000 --> 0:31:30.120
<v Speaker 1>to eleven. The tsall will help teach us how we

0:31:30.160 --> 0:31:31.480
<v Speaker 1>can respond to what's out there right now.

0:31:31.560 --> 0:31:32.120
<v Speaker 8>Is it amazing?

0:31:32.160 --> 0:31:33.480
<v Speaker 6>Like you think there was a time when there was

0:31:33.520 --> 0:31:35.640
<v Speaker 6>no TSA right remember when we also walk right up

0:31:35.680 --> 0:31:36.000
<v Speaker 6>to the gate.

0:31:36.280 --> 0:31:37.600
<v Speaker 3>Did you have to take your shoes off when you

0:31:37.680 --> 0:31:38.800
<v Speaker 3>were going through airport security?

0:31:39.240 --> 0:31:42.000
<v Speaker 6>Meet our families coming right off the plane. It's great

0:31:42.040 --> 0:31:44.360
<v Speaker 6>stuff and we participate in some of the panels and

0:31:44.800 --> 0:31:46.480
<v Speaker 6>definitely learn a lot. So thank you so much for

0:31:46.640 --> 0:31:47.600
<v Speaker 6>joining us, for your support.

0:31:47.680 --> 0:31:47.960
<v Speaker 11>Thank you.

0:31:48.280 --> 0:31:50.760
<v Speaker 3>That was Beth Hillman, President and CEO of the nine

0:31:50.760 --> 0:31:53.960
<v Speaker 3>to eleven Memorial and Museum, and a reminder. The Memorial

0:31:54.000 --> 0:31:57.640
<v Speaker 3>and Museum is supported by Michael R. Bloomberg and Bloomberg Philanthropies.

0:31:57.920 --> 0:32:00.760
<v Speaker 3>Michael Bloomberg is founder and majority owner of Bloomberg LP,

0:32:01.000 --> 0:32:04.520
<v Speaker 3>the parent company of Bloomberg Radio. Still ahead on Bloomberg

0:32:04.560 --> 0:32:07.120
<v Speaker 3>Business Week, a roundup of this week's earnings from me

0:32:07.240 --> 0:32:10.720
<v Speaker 3>mag seven's heavy hitters. This is Bloomberg.

0:32:12.680 --> 0:32:16.520
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

0:32:16.640 --> 0:32:19.440
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:32:19.560 --> 0:32:22.520
<v Speaker 2>Play and Android Auto with the Bloomberg Business App. You

0:32:22.560 --> 0:32:25.840
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:32:25.880 --> 0:32:28.280
<v Speaker 2>New York station, Just say Alexa Play.

0:32:28.360 --> 0:32:33.080
<v Speaker 3>Bloomberg eleven thirty Thursday wrapped up the biggest week of

0:32:33.160 --> 0:32:35.920
<v Speaker 3>tech earnings for the quarter, with names like Amazon, Apple,

0:32:35.960 --> 0:32:39.840
<v Speaker 3>and Intel reporting after the bell. James Chokmonk, technology analyst

0:32:39.880 --> 0:32:42.880
<v Speaker 3>at Clockwise Capital, joined Emily GRIFFEO and me right as

0:32:42.920 --> 0:32:45.960
<v Speaker 3>the results were crossing the terminal. We started off with Amazon.

0:32:46.160 --> 0:32:49.080
<v Speaker 3>Total third quarter revenue increased eleven percent to one hundred

0:32:49.080 --> 0:32:51.760
<v Speaker 3>and fifty eight point nine billion dollars. That exceeded estimates.

0:32:52.120 --> 0:32:56.000
<v Speaker 3>An operating profit was seventeen point four billion dollars, demolishing

0:32:56.040 --> 0:32:59.560
<v Speaker 3>the average estimate of fourteen point seven billion dollars.

0:33:00.120 --> 0:33:03.240
<v Speaker 12>I think it's just what Andy Jassey has laid out

0:33:03.320 --> 0:33:06.760
<v Speaker 12>basically about a year ago, that the path of profitability

0:33:06.800 --> 0:33:10.000
<v Speaker 12>on the retail side of the business will continue and

0:33:10.360 --> 0:33:12.920
<v Speaker 12>continue in a in a bigger and bigger way as

0:33:14.200 --> 0:33:18.720
<v Speaker 12>as they achieve the efficiencies across their fulfillment network and

0:33:18.720 --> 0:33:25.440
<v Speaker 12>and and further optimized for for shorter duration delivery time.

0:33:25.520 --> 0:33:28.960
<v Speaker 12>So I think you're seeing what you want to see

0:33:29.000 --> 0:33:31.480
<v Speaker 12>on the bottom line. The top line continues to perform

0:33:31.720 --> 0:33:36.200
<v Speaker 12>more of on a status quo basis, so you know,

0:33:36.240 --> 0:33:40.800
<v Speaker 12>we continue to like the name and uh and pretty please.

0:33:40.640 --> 0:33:40.959
<v Speaker 10>With the core.

0:33:41.920 --> 0:33:43.920
<v Speaker 13>You know, one big theme that we were looking at

0:33:44.200 --> 0:33:47.960
<v Speaker 13>is whether these big tech companies are seeing the results

0:33:48.000 --> 0:33:50.280
<v Speaker 13>in their earnings from all of the capex that they've

0:33:50.280 --> 0:33:54.360
<v Speaker 13>done on AI. What does this Amazon earnings tell us

0:33:54.360 --> 0:33:58.440
<v Speaker 13>about whether Amazon is able to kind of show all

0:33:58.480 --> 0:34:01.120
<v Speaker 13>of the investments the fruit of their investments.

0:34:01.920 --> 0:34:03.680
<v Speaker 12>Yeah, I haven't gone through it with a fine tooth

0:34:03.760 --> 0:34:09.440
<v Speaker 12>thoe to change the NSS kind of the returns this quarter,

0:34:09.520 --> 0:34:13.920
<v Speaker 12>but I think that from a bigger picture perspective, you know,

0:34:14.040 --> 0:34:17.279
<v Speaker 12>you're not going to see a lot of trickle down

0:34:17.320 --> 0:34:22.400
<v Speaker 12>to the bottom lane or or accretion to revenue on

0:34:22.440 --> 0:34:24.560
<v Speaker 12>a short term basis. I think that these are much

0:34:24.719 --> 0:34:29.560
<v Speaker 12>longer term investment cycles that will bear fruit over a

0:34:29.600 --> 0:34:32.640
<v Speaker 12>longer term. So you know, that is a question that

0:34:32.680 --> 0:34:36.640
<v Speaker 12>comes up repeatedly with investors. You know, where's ROI you're

0:34:36.640 --> 0:34:39.520
<v Speaker 12>spending all these cappex But I think it just helps

0:34:39.560 --> 0:34:46.080
<v Speaker 12>reinforce the competitive modes and crew over time. The way

0:34:46.200 --> 0:34:49.319
<v Speaker 12>that we're looking at Big Peck more broadly is that

0:34:49.440 --> 0:34:51.160
<v Speaker 12>you know, a lot of these names have run up.

0:34:51.200 --> 0:34:54.640
<v Speaker 12>You know, we've been rotating out of these names for

0:34:55.560 --> 0:34:58.560
<v Speaker 12>the last couple of weeks, now rotating into smaller cap names,

0:34:58.600 --> 0:35:02.680
<v Speaker 12>more value oriented names, because you know, you have expanded

0:35:02.760 --> 0:35:07.759
<v Speaker 12>multiple's high expectations, as you saw with Microsoft Meta. You know,

0:35:07.880 --> 0:35:10.720
<v Speaker 12>I think the correction helped Amazon to a certain extent

0:35:10.800 --> 0:35:14.279
<v Speaker 12>that the expert the bar had been lowered. But I

0:35:14.320 --> 0:35:18.439
<v Speaker 12>think that big tech should likely remain choppy at least

0:35:18.440 --> 0:35:21.040
<v Speaker 12>for the interim, as we you know, have uncertain teens

0:35:21.080 --> 0:35:25.360
<v Speaker 12>around geopolitics, the election, and just the sovereign debt situation.

0:35:26.080 --> 0:35:29.480
<v Speaker 3>So let's let's zoom out a little bit and talk

0:35:29.560 --> 0:35:35.520
<v Speaker 3>specifically about AWS, because this is the number that you know,

0:35:35.600 --> 0:35:38.120
<v Speaker 3>everybody cares about. It was pretty amazing to see net

0:35:38.160 --> 0:35:42.879
<v Speaker 3>sales up nineteen percent year over year. We heard from

0:35:42.920 --> 0:35:47.000
<v Speaker 3>Alphabet earlier this week in Google Cloud. We also heard

0:35:47.480 --> 0:35:52.920
<v Speaker 3>from Microsoft Amazon with AWS James, they're the company that

0:35:53.040 --> 0:35:57.040
<v Speaker 3>started at all. What's their competitive advantage? How do they

0:35:57.080 --> 0:36:01.880
<v Speaker 3>continue to win business or compete again the second and

0:36:01.960 --> 0:36:06.440
<v Speaker 3>third place Azure and Alphabet. How do they maintain their

0:36:06.480 --> 0:36:08.919
<v Speaker 3>position when there is so much competition out there.

0:36:09.800 --> 0:36:11.880
<v Speaker 12>Yeah, I think it's going to be more of a

0:36:11.960 --> 0:36:16.319
<v Speaker 12>rising tide lifts all boat situation. You know, obviously is

0:36:16.360 --> 0:36:19.480
<v Speaker 12>the number one scale player in the space, and all

0:36:19.560 --> 0:36:22.960
<v Speaker 12>companies that are looking to the cloud, you know, will

0:36:23.600 --> 0:36:27.560
<v Speaker 12>utilize them in some capacity. I think that the spend

0:36:28.080 --> 0:36:31.640
<v Speaker 12>over AI and the shift from analog to digital will

0:36:31.680 --> 0:36:34.880
<v Speaker 12>only get stronger and get faster, So all three of

0:36:34.920 --> 0:36:38.920
<v Speaker 12>these companies will benefit. It's really for us, it's around

0:36:38.960 --> 0:36:42.239
<v Speaker 12>what are the expectations around those growth rates and are

0:36:42.320 --> 0:36:45.759
<v Speaker 12>those reasonable? Like, for example, with Amazon, throughout the course

0:36:45.760 --> 0:36:48.120
<v Speaker 12>of this year, you know, we were expecting that that

0:36:48.239 --> 0:36:52.400
<v Speaker 12>growth rate to keep notching up toward the twenty percent number,

0:36:52.920 --> 0:36:55.800
<v Speaker 12>which it has. So long as you know the growth

0:36:55.880 --> 0:36:59.640
<v Speaker 12>rates from an investment standpoint, are you know the bars

0:36:59.640 --> 0:37:02.160
<v Speaker 12>are at achievable. We think that, you know, as you

0:37:02.200 --> 0:37:05.960
<v Speaker 12>look into the medium and longer term, all three will

0:37:06.000 --> 0:37:08.560
<v Speaker 12>benefit from it. But as far as you know Amazon

0:37:08.640 --> 0:37:13.440
<v Speaker 12>specific competitive advantages, obviously they're they're the biggest player. They

0:37:13.480 --> 0:37:16.759
<v Speaker 12>continue to iterate and provide more and more services more

0:37:16.800 --> 0:37:19.719
<v Speaker 12>once stops shop solutions, so they're going to have an

0:37:19.800 --> 0:37:25.160
<v Speaker 12>edge there. Obviously Microsoft and Google are not standing still.

0:37:25.719 --> 0:37:29.040
<v Speaker 12>But you know, I think for us, it's as long

0:37:29.080 --> 0:37:34.680
<v Speaker 12>as the overall industry trends toward capex spend and the

0:37:34.680 --> 0:37:37.600
<v Speaker 12>cloud spend continue to move in the right directions on

0:37:37.640 --> 0:37:41.400
<v Speaker 12>a secular basis, then all three should be fine.

0:37:42.280 --> 0:37:45.080
<v Speaker 13>We've spoke to a number of guests about the Mag

0:37:45.160 --> 0:37:50.319
<v Speaker 13>seven and whether this is a time to hold or

0:37:50.360 --> 0:37:53.600
<v Speaker 13>to buy the Mag seven or to kind of play

0:37:53.760 --> 0:37:57.800
<v Speaker 13>tech and AI in different names. What do you think

0:37:57.880 --> 0:38:01.480
<v Speaker 13>when you're looking at you know, how to play the

0:38:01.520 --> 0:38:02.080
<v Speaker 13>MAG seven.

0:38:03.239 --> 0:38:04.959
<v Speaker 2>We think that it's good to be there.

0:38:05.520 --> 0:38:08.360
<v Speaker 12>For us, it's a question of what size, Uh, you know,

0:38:08.480 --> 0:38:12.280
<v Speaker 12>these companies were our top weight a couple of quarters

0:38:12.320 --> 0:38:16.319
<v Speaker 12>ago five six seven percent weights in the portfolio, you know,

0:38:16.360 --> 0:38:20.399
<v Speaker 12>but now we've trimmed those back between two and four

0:38:21.200 --> 0:38:24.719
<v Speaker 12>and we've all been we've exited Google for example, we

0:38:24.800 --> 0:38:28.200
<v Speaker 12>no longer hold that, and you know which much smaller

0:38:28.239 --> 0:38:32.040
<v Speaker 12>in Tesla, much smaller in Amazon Microsoft. So for us,

0:38:32.200 --> 0:38:34.279
<v Speaker 12>you know, the trends continue to be the friend of

0:38:34.320 --> 0:38:37.399
<v Speaker 12>these companies, but given how much they run, we think

0:38:37.400 --> 0:38:40.120
<v Speaker 12>that you hold them, but just at lower weights and

0:38:40.280 --> 0:38:44.640
<v Speaker 12>reallocate that to areas that have more opportunity. Like we

0:38:44.760 --> 0:38:48.680
<v Speaker 12>like software for example. You know, we established positions some

0:38:48.800 --> 0:38:52.279
<v Speaker 12>time ago and new tanics get lab and data. Do

0:38:52.520 --> 0:38:54.000
<v Speaker 12>you know, we think those could do well. You look

0:38:54.040 --> 0:38:56.200
<v Speaker 12>at confluence results. We think that there's a lot of

0:38:56.239 --> 0:38:57.040
<v Speaker 12>opportunity there.

0:38:57.120 --> 0:38:57.239
<v Speaker 3>You know.

0:38:57.280 --> 0:39:00.360
<v Speaker 12>We're going into value names at the same time, like

0:39:00.400 --> 0:39:02.800
<v Speaker 12>the commodities. You know, we're not sure that the inflation

0:39:02.840 --> 0:39:03.800
<v Speaker 12>trade is off the table.

0:39:03.880 --> 0:39:06.240
<v Speaker 3>That's interesting. Yeah, I see Alcoa in here.

0:39:06.040 --> 0:39:09.200
<v Speaker 12>So yeah, we have our CoA US steel we think

0:39:09.239 --> 0:39:10.200
<v Speaker 12>could be a real winner.

0:39:10.280 --> 0:39:10.440
<v Speaker 8>You know.

0:39:10.480 --> 0:39:13.600
<v Speaker 12>We also like gold, you know, so we are you know,

0:39:13.640 --> 0:39:17.200
<v Speaker 12>we're betting on that. We added General Motors, for example,

0:39:17.440 --> 0:39:20.200
<v Speaker 12>so I think that that could be a great stock

0:39:20.280 --> 0:39:21.960
<v Speaker 12>for as we look into twenty twenty five.

0:39:22.239 --> 0:39:26.280
<v Speaker 3>That was James Chockmack, technology analyst at Clockwise Capital. Keeping

0:39:26.320 --> 0:39:29.040
<v Speaker 3>with Tech earnings, we moved now to Intel, which saw

0:39:29.120 --> 0:39:31.880
<v Speaker 3>share surge after the company gave a revenue forecast slightly

0:39:31.880 --> 0:39:35.799
<v Speaker 3>above estimates, fueling investor hopes that a turnaround could be

0:39:35.800 --> 0:39:37.799
<v Speaker 3>in store for the chip maker. For more on the

0:39:37.840 --> 0:39:40.400
<v Speaker 3>report and the comments from Intel CEO, we spoke with

0:39:40.400 --> 0:39:42.840
<v Speaker 3>Bloomberg Technology co host ed lud though.

0:39:42.880 --> 0:39:45.640
<v Speaker 11>And there's a lot to unpick here. It's not straightforward

0:39:45.719 --> 0:39:49.520
<v Speaker 11>because in the quarter gone, Intel which was previously like

0:39:49.640 --> 0:39:52.520
<v Speaker 11>one of the world's leading chip makers, has given us

0:39:52.520 --> 0:39:56.080
<v Speaker 11>a mixed bag. It's data center chips business did better

0:39:56.120 --> 0:39:59.480
<v Speaker 11>than expected, but it's PC business, where it has historically

0:39:59.520 --> 0:40:02.640
<v Speaker 11>been the lead, did worse. The answer to that is

0:40:03.440 --> 0:40:07.360
<v Speaker 11>customers had inventories and they worked through backlogs, and that

0:40:07.560 --> 0:40:11.440
<v Speaker 11>the almost three billion dollars of impairment charges that Intel

0:40:11.480 --> 0:40:16.440
<v Speaker 11>took relating to headcount reduction canceled projects. And what's so

0:40:16.520 --> 0:40:19.280
<v Speaker 11>interesting about that is if you look at the estimates

0:40:19.320 --> 0:40:22.279
<v Speaker 11>going into this quarter, and lists on Wall Street had

0:40:22.280 --> 0:40:25.960
<v Speaker 11>not factored that in. So it's a surprise, a negative surprise,

0:40:26.320 --> 0:40:28.920
<v Speaker 11>and even so, the top line of the story is

0:40:29.239 --> 0:40:30.840
<v Speaker 11>maybe there's some hope here for Intel.

0:40:31.160 --> 0:40:34.160
<v Speaker 3>They're reducing headcount by sixteen five hundred employees. Is that

0:40:34.239 --> 0:40:37.160
<v Speaker 3>on top of the other headcount productions this year.

0:40:37.840 --> 0:40:41.600
<v Speaker 11>This is a confirmation of the previously stated plan for

0:40:41.680 --> 0:40:46.600
<v Speaker 11>headcount reduction and that the literal update is that the

0:40:46.640 --> 0:40:51.239
<v Speaker 11>Audit Committee of Intel, a section of its board, has

0:40:51.280 --> 0:40:54.879
<v Speaker 11>approved that plan. So the number is final sixteen five

0:40:54.960 --> 0:40:58.520
<v Speaker 11>hundred staff to be cut. And again I go back

0:40:58.560 --> 0:41:01.000
<v Speaker 11>to the impairment charges. If you look at the adjusted

0:41:01.040 --> 0:41:04.320
<v Speaker 11>loss per chare in the quarter gone much much wider

0:41:04.719 --> 0:41:07.640
<v Speaker 11>than anyone on the wall street had anticipated. And a

0:41:07.680 --> 0:41:10.880
<v Speaker 11>part of that was that the impairment charges it disclosed

0:41:11.440 --> 0:41:14.919
<v Speaker 11>relative to headcount reduction, But there's other things in there.

0:41:15.160 --> 0:41:18.240
<v Speaker 11>They just hadn't factored that in for this quarter. Intel

0:41:18.320 --> 0:41:20.960
<v Speaker 11>wasn't able to guide for it into this quarter. So

0:41:21.000 --> 0:41:24.120
<v Speaker 11>it's a timing and an accounting issue, which sometimes can

0:41:24.160 --> 0:41:27.040
<v Speaker 11>be a bit dry. But there's much more to discuss.

0:41:26.719 --> 0:41:29.960
<v Speaker 3>Okay, well' speina much more to discuss. The Intel CEO

0:41:30.000 --> 0:41:32.719
<v Speaker 3>Pat Gelsinger saying in a statement that he intends to

0:41:32.800 --> 0:41:37.239
<v Speaker 3>keep the company together. Yeah, he says that distinct but

0:41:37.320 --> 0:41:41.200
<v Speaker 3>better together is the strategy. The context for this is

0:41:41.200 --> 0:41:43.600
<v Speaker 3>is reporting from earlier this year that said they were

0:41:43.960 --> 0:41:46.600
<v Speaker 3>exploring a separation of parts of the company.

0:41:47.360 --> 0:41:51.120
<v Speaker 11>So it's complicated. And first off, the headlines from Pat

0:41:51.120 --> 0:41:53.640
<v Speaker 11>Gelsinger were a part of a brief conversation that our

0:41:53.680 --> 0:41:56.640
<v Speaker 11>colleaguey and King had with him on the phone, and

0:41:57.480 --> 0:42:01.480
<v Speaker 11>the context is, yes, Intel is a chip company. It

0:42:01.600 --> 0:42:05.440
<v Speaker 11>offers chip products processors that go into computers and data

0:42:05.480 --> 0:42:08.719
<v Speaker 11>centers and other business areas, but it also has a

0:42:08.760 --> 0:42:12.480
<v Speaker 11>manufacturing business, which historically the reason that Intel was so

0:42:12.560 --> 0:42:16.200
<v Speaker 11>good at chips is it manufactured them for itself. As

0:42:16.239 --> 0:42:18.000
<v Speaker 11>many of your listeners have learned in the last two

0:42:18.080 --> 0:42:21.280
<v Speaker 11>or three years, there's a company in Taiwan called TSMC

0:42:21.719 --> 0:42:25.320
<v Speaker 11>that has basically taken over the vast majority of cutting

0:42:25.400 --> 0:42:28.920
<v Speaker 11>edge chip manufacturing on a contract basis for everyone else,

0:42:29.360 --> 0:42:32.920
<v Speaker 11>and it Intel had really fallen behind. But Intel's ambition

0:42:33.040 --> 0:42:35.239
<v Speaker 11>is to have a company where it has its own products,

0:42:35.600 --> 0:42:38.520
<v Speaker 11>it manufactures its own products, but it also wants to

0:42:38.520 --> 0:42:42.040
<v Speaker 11>manufacture chips for others, just like TSMC does. And that's

0:42:42.040 --> 0:42:44.120
<v Speaker 11>a long answer, but the short of it is, this

0:42:44.239 --> 0:42:47.319
<v Speaker 11>is Pat Gelsinger saying, yes, we're going to run the

0:42:47.360 --> 0:42:50.560
<v Speaker 11>company that way to separate divisions, but no, we're not

0:42:50.600 --> 0:42:52.760
<v Speaker 11>going to sell off one part to a third party

0:42:53.200 --> 0:42:55.719
<v Speaker 11>or be acquired by a third party. That's kind of

0:42:55.719 --> 0:42:58.520
<v Speaker 11>reading between the lines because he was not explicit.

0:42:59.560 --> 0:42:59.640
<v Speaker 14>Ed.

0:42:59.840 --> 0:43:04.239
<v Speaker 13>You have to wonder how much patience investors have right

0:43:04.280 --> 0:43:09.239
<v Speaker 13>now to see this turnaround play out, because, like Tim

0:43:09.280 --> 0:43:13.080
<v Speaker 13>had mentioned, Intel stock is down almost sixty percent year

0:43:13.120 --> 0:43:15.840
<v Speaker 13>to date. So what do we know right now about

0:43:15.920 --> 0:43:20.319
<v Speaker 13>just how urgent the need for the turnaround is. When

0:43:20.360 --> 0:43:23.200
<v Speaker 13>you think about the share price, I.

0:43:23.160 --> 0:43:25.680
<v Speaker 11>Mean, do we have to wait? What Intel told us

0:43:25.680 --> 0:43:27.560
<v Speaker 11>for the final three months of this year is here's

0:43:27.600 --> 0:43:29.640
<v Speaker 11>a range of revenues we think we're going to have.

0:43:30.000 --> 0:43:32.320
<v Speaker 11>At the midpoint of that range, it was just slightly

0:43:32.360 --> 0:43:35.759
<v Speaker 11>ahead of consensus estimates. But the market is you know,

0:43:35.800 --> 0:43:38.759
<v Speaker 11>what's the saying, you guys that the investors vote with

0:43:38.800 --> 0:43:42.799
<v Speaker 11>their feet, right, and you know, I think that's the

0:43:42.880 --> 0:43:45.879
<v Speaker 11>read here. They look at the commentary from Intel and say,

0:43:45.880 --> 0:43:48.080
<v Speaker 11>you've done some really painful things in the course is gone.

0:43:48.120 --> 0:43:50.319
<v Speaker 11>You've let go of a lot of people, canceled a

0:43:50.320 --> 0:43:52.880
<v Speaker 11>lot of projects. You had a pretty rough quarter in

0:43:52.920 --> 0:43:55.040
<v Speaker 11>your PC business, where you were once a leader and

0:43:55.080 --> 0:43:57.319
<v Speaker 11>you've fallen behind. But as we look to the next

0:43:57.320 --> 0:43:59.719
<v Speaker 11>three months and beyond that, there are signs that you

0:43:59.800 --> 0:44:00.960
<v Speaker 11>might be turning a corner.

0:44:01.000 --> 0:44:04.160
<v Speaker 3>Here our thanks to Bloomberg Technology co host ed Ludlow.

0:44:04.480 --> 0:44:06.839
<v Speaker 3>Also big thank you to Emily Graffeo stepping in while

0:44:06.880 --> 0:44:09.640
<v Speaker 3>Carol Masser was out this week. And that wraps up

0:44:09.680 --> 0:44:12.000
<v Speaker 3>the first hour of the weekend edition of Bloomberg Business

0:44:12.000 --> 0:44:14.760
<v Speaker 3>Week from Bloomberg Radio. Coming up in our next hour,

0:44:14.960 --> 0:44:18.240
<v Speaker 3>we are all in on AI. We explore the notions

0:44:18.239 --> 0:44:21.960
<v Speaker 3>of thinking and intelligence in large language models with the

0:44:22.000 --> 0:44:26.560
<v Speaker 3>author of the Deep Learning Revolution. Plus calling all Swifties

0:44:27.120 --> 0:44:31.680
<v Speaker 3>or swifters, the immersive indoor cycling gaming company is using

0:44:31.719 --> 0:44:34.600
<v Speaker 3>AI to try to get ahead of the competition. This

0:44:34.640 --> 0:44:35.840
<v Speaker 3>is Bloomberg BusinessWeek.

0:44:41.880 --> 0:44:45.720
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

0:44:45.840 --> 0:44:49.040
<v Speaker 2>each weekday starting at two pm Eastern on applecar Play

0:44:49.040 --> 0:44:51.920
<v Speaker 2>and Android Auto with the Bloomberg Business App. You can

0:44:51.960 --> 0:44:55.200
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:44:55.239 --> 0:44:59.200
<v Speaker 2>York station Just Say Alexa play Bloomberg eleven thirty.

0:45:00.239 --> 0:45:02.680
<v Speaker 3>Plenty ahead in our second hour of the weekend edition

0:45:02.719 --> 0:45:06.239
<v Speaker 3>of Bloomberg Business Week, including a new cycling craze harnessing

0:45:06.280 --> 0:45:09.880
<v Speaker 3>the power of AI, plus the tequila brand co founded

0:45:09.920 --> 0:45:12.680
<v Speaker 3>by Michael Jordan and counting stars such as Derek Jeter,

0:45:12.880 --> 0:45:16.360
<v Speaker 3>Serena Williams, and Michael Strahan as investors. The story of

0:45:16.360 --> 0:45:19.560
<v Speaker 3>sin Quodo Tequila coming up first up this hour. We

0:45:19.640 --> 0:45:22.719
<v Speaker 3>cannot seem to stop talking about AI, and perhaps for

0:45:22.800 --> 0:45:25.680
<v Speaker 3>good reason. Just look at what's happened to the companies

0:45:26.120 --> 0:45:29.120
<v Speaker 3>that are in the space. Alphabet's investments in AI seem

0:45:29.160 --> 0:45:32.319
<v Speaker 3>to be paying off. Microsoft's GitHub has agreed to bake

0:45:32.400 --> 0:45:36.240
<v Speaker 3>AI models from Anthropic and Google into a coding assistant

0:45:36.320 --> 0:45:39.319
<v Speaker 3>used by millions of software developers, and earlier this week,

0:45:39.400 --> 0:45:42.920
<v Speaker 3>The Wall Street Journal reported that Elon Musk's Exai is

0:45:42.920 --> 0:45:44.800
<v Speaker 3>in talks to raise funding at a value of forty

0:45:44.920 --> 0:45:48.880
<v Speaker 3>billion dollars. But as investors reward companies use of AI,

0:45:49.320 --> 0:45:52.239
<v Speaker 3>others are ringing alarm bells about getting the tech under

0:45:52.280 --> 0:45:56.920
<v Speaker 3>control before it controls US. Doctor Terrence Sinowski is Francis

0:45:56.960 --> 0:46:00.920
<v Speaker 3>Krikchair at the Salk Institute for Biological Studies, also Distinguished

0:46:00.920 --> 0:46:03.879
<v Speaker 3>Professor at the University of California at San Diego. He's

0:46:03.920 --> 0:46:07.960
<v Speaker 3>also president of the Neural Information Processing Systems Foundation. His

0:46:08.080 --> 0:46:11.000
<v Speaker 3>dual expertise in AI and neuroscience led him to write

0:46:11.000 --> 0:46:14.120
<v Speaker 3>the book Chat, GPT and the Future of AI, The

0:46:14.160 --> 0:46:15.719
<v Speaker 3>Deep Language Revolution.

0:46:16.239 --> 0:46:21.400
<v Speaker 9>I think that what's happening right now is really unbelievable.

0:46:21.520 --> 0:46:24.239
<v Speaker 9>I was there at the beginning. Jeffrey Hinton and I

0:46:24.320 --> 0:46:28.600
<v Speaker 9>collaborated in the nineteen eighties. All the learning algorithms that

0:46:28.640 --> 0:46:32.399
<v Speaker 9>are being used today for these large language models and

0:46:32.520 --> 0:46:37.359
<v Speaker 9>deep learning were developed by us back in that era.

0:46:37.680 --> 0:46:40.719
<v Speaker 9>And of course what we didn't have back then were

0:46:40.800 --> 0:46:44.480
<v Speaker 9>computers that were fast enough that could scale up these

0:46:44.680 --> 0:46:49.319
<v Speaker 9>models to be you know, be able to solve these

0:46:49.400 --> 0:46:54.400
<v Speaker 9>very difficult problems and artificial intelligence. But the Neural Information

0:46:54.480 --> 0:46:59.000
<v Speaker 9>Processing Systems Foundation, I'm the president, re organized the biggest

0:46:59.040 --> 0:47:03.680
<v Speaker 9>AI meeting December. Were expecting sixteen thousand researchers to descend

0:47:03.760 --> 0:47:09.200
<v Speaker 9>on Vancouver after By the way, Taylor Swift, she's the

0:47:09.239 --> 0:47:12.400
<v Speaker 9>big headliner on Sunday, but we have the rest of

0:47:12.440 --> 0:47:12.719
<v Speaker 9>the week.

0:47:13.560 --> 0:47:15.200
<v Speaker 6>So I want to ask you, how did you think

0:47:15.239 --> 0:47:18.640
<v Speaker 6>about neural networks in large language models in the nineteen eighties,

0:47:18.680 --> 0:47:19.920
<v Speaker 6>How do you think about them today?

0:47:21.120 --> 0:47:26.320
<v Speaker 9>Well, we actually had a premonition that these large language models,

0:47:26.880 --> 0:47:30.640
<v Speaker 9>they were small language models back were really good at language.

0:47:30.640 --> 0:47:33.600
<v Speaker 9>And that was a particular project, a summer project for

0:47:33.600 --> 0:47:37.000
<v Speaker 9>a gratitude in my lap called net talk, which was

0:47:37.080 --> 0:47:41.040
<v Speaker 9>trained on a dictionary to be able to pronounce English text.

0:47:41.120 --> 0:47:43.040
<v Speaker 9>You know, if you give it an article from the

0:47:43.040 --> 0:47:45.600
<v Speaker 9>Wall Street Journal and they would pronounce it in an

0:47:45.680 --> 0:47:49.600
<v Speaker 9>understandable way. And this in linguistics is a very difficult

0:47:49.920 --> 0:47:52.920
<v Speaker 9>problem because English is so irregular. There are a lot

0:47:52.920 --> 0:47:57.440
<v Speaker 9>of regularities, but you also have irregularities, and then you

0:47:57.480 --> 0:48:01.760
<v Speaker 9>have rules for the irregularities. But it really was amazing

0:48:01.840 --> 0:48:04.000
<v Speaker 9>that a small, tiny network with just a few hundred

0:48:04.040 --> 0:48:08.000
<v Speaker 9>units and tens of thousands of weights, the parameters, the

0:48:08.000 --> 0:48:11.279
<v Speaker 9>connections between the units could do that. It was like

0:48:11.320 --> 0:48:15.680
<v Speaker 9>an amazing compression of complexity. And now we know that

0:48:16.520 --> 0:48:20.600
<v Speaker 9>these large language models, that deep learning networks, they love

0:48:20.719 --> 0:48:24.040
<v Speaker 9>language and they are capable of things that we never

0:48:24.080 --> 0:48:24.880
<v Speaker 9>could have imagined.

0:48:25.160 --> 0:48:27.680
<v Speaker 3>That's really what I wanted to talk about the idea

0:48:27.719 --> 0:48:32.960
<v Speaker 3>of super intelligent AI. What are we not thinking about?

0:48:33.080 --> 0:48:35.120
<v Speaker 3>What's the threat out there?

0:48:35.760 --> 0:48:38.879
<v Speaker 9>My good friend Jeff is very concerned, and I think

0:48:38.960 --> 0:48:42.279
<v Speaker 9>he's one of the smartest people I've ever met. And

0:48:42.520 --> 0:48:47.000
<v Speaker 9>if he's worried about it, then there's some as a concern. However,

0:48:47.800 --> 0:48:52.160
<v Speaker 9>I think that even if you're concerned, it's very difficult

0:48:52.520 --> 0:48:55.120
<v Speaker 9>to know when that's going to happen, if it ever

0:48:55.160 --> 0:48:59.200
<v Speaker 9>will happen. And there are super forecasters out there and

0:48:59.239 --> 0:49:02.680
<v Speaker 9>this is from the Economist magazine, who are much better

0:49:02.760 --> 0:49:06.719
<v Speaker 9>at people who are experts at predicting you know, if

0:49:06.760 --> 0:49:10.400
<v Speaker 9>and when there may be a catastrophic or existential threat,

0:49:11.160 --> 0:49:14.239
<v Speaker 9>and it turns out that in fact they're not as

0:49:15.120 --> 0:49:24.040
<v Speaker 9>concerned as the experts in AI. I'm happy that someone

0:49:24.160 --> 0:49:27.799
<v Speaker 9>is thinking about the worst case outcome because if not,

0:49:28.000 --> 0:49:31.040
<v Speaker 9>then if it ever happens, we're in trouble. But right

0:49:31.080 --> 0:49:35.040
<v Speaker 9>now I'm more concerned about trying to understand how they

0:49:35.080 --> 0:49:39.920
<v Speaker 9>work mathematically, and also to learn more from the brain.

0:49:40.000 --> 0:49:43.640
<v Speaker 9>After all these were designed Back then, Jeff and I

0:49:43.680 --> 0:49:46.319
<v Speaker 9>looked at the brain the only existence proof you could

0:49:46.320 --> 0:49:49.359
<v Speaker 9>solve any problem in AI, and you know, we tried

0:49:49.360 --> 0:49:52.600
<v Speaker 9>to build something that was based on similar principles. So

0:49:53.000 --> 0:49:54.759
<v Speaker 9>now we can continue. There's a lot more in the

0:49:54.760 --> 0:49:55.800
<v Speaker 9>brain we can learn from.

0:49:55.880 --> 0:49:57.680
<v Speaker 3>But paint that picture for us, because I think a

0:49:57.719 --> 0:50:00.640
<v Speaker 3>lot of people are worried about doomsday scenarios here and

0:50:00.960 --> 0:50:04.719
<v Speaker 3>if Jeffrey Hinton is worried about that stuff, I mean,

0:50:05.600 --> 0:50:07.279
<v Speaker 3>should we we should be worried about it?

0:50:07.360 --> 0:50:11.880
<v Speaker 15>You're saying, I think that we should be cautious, that

0:50:12.080 --> 0:50:15.560
<v Speaker 15>is to say we we should be constantly thinking along

0:50:15.719 --> 0:50:18.080
<v Speaker 15>the lines that Jeff is in terms of what could

0:50:18.160 --> 0:50:21.440
<v Speaker 15>possibly happen, and you know, be cautious and put in

0:50:21.480 --> 0:50:23.680
<v Speaker 15>precautions so that it can't happen.

0:50:23.960 --> 0:50:27.120
<v Speaker 9>What I'm really concerned about are the unintended consequences, things

0:50:27.160 --> 0:50:30.440
<v Speaker 9>that you cannot predict. Something may happen that you know,

0:50:30.520 --> 0:50:31.280
<v Speaker 9>no one thought.

0:50:31.080 --> 0:50:31.800
<v Speaker 5>Of, even Jeff.

0:50:32.680 --> 0:50:35.160
<v Speaker 6>Yeah, and like you know, we have learned certainly right,

0:50:35.200 --> 0:50:40.720
<v Speaker 6>great financial crisis, pandemic like the un the unthinkable can happen,

0:50:40.800 --> 0:50:42.960
<v Speaker 6>and you throw technology into it and you just kind

0:50:42.960 --> 0:50:46.239
<v Speaker 6>of don't know where it's going to go exactly. I

0:50:46.280 --> 0:50:48.920
<v Speaker 6>got to ask you because I am still trying to understand,

0:50:48.920 --> 0:50:51.040
<v Speaker 6>and I get worried that we throw these words around.

0:50:51.080 --> 0:50:54.840
<v Speaker 6>Certainly not you, but we as we try to understand this,

0:50:55.480 --> 0:50:59.439
<v Speaker 6>not having full comprehension of what artificial intelligence, the large

0:50:59.480 --> 0:51:02.200
<v Speaker 6>language mind that we're talking about today, where it takes us.

0:51:02.600 --> 0:51:06.480
<v Speaker 6>Is it as subtle and evolving in life changing as

0:51:06.520 --> 0:51:09.600
<v Speaker 6>the Internet was for us.

0:51:09.680 --> 0:51:15.000
<v Speaker 9>So this is something that is emerging, and I have

0:51:15.400 --> 0:51:17.960
<v Speaker 9>since the book was sent to press in the summer,

0:51:18.000 --> 0:51:21.000
<v Speaker 9>I have a sub stack where I have tried to

0:51:21.040 --> 0:51:23.200
<v Speaker 9>fill in with, you know, the new things that are happening.

0:51:23.280 --> 0:51:29.880
<v Speaker 9>And I'm preparing something a new twelfth version the blog

0:51:30.080 --> 0:51:34.520
<v Speaker 9>on the question of whether AI is overhyped or under hyped,

0:51:35.520 --> 0:51:38.160
<v Speaker 9>And you know, I've thought a lot about this, and

0:51:38.960 --> 0:51:42.000
<v Speaker 9>you know, I think that it depends on the timescale.

0:51:42.040 --> 0:51:45.440
<v Speaker 9>I think that on the short timescale it is overhyped.

0:51:45.440 --> 0:51:47.719
<v Speaker 9>There's no doubt about it. There's just so much out there.

0:51:47.800 --> 0:51:50.600
<v Speaker 9>I mean, every day the newspapers are filled with AI

0:51:50.760 --> 0:51:53.759
<v Speaker 9>and your program. But I think in the long run

0:51:53.800 --> 0:51:56.759
<v Speaker 9>it's actually under hyped. I think the real change in

0:51:56.800 --> 0:52:00.000
<v Speaker 9>the Internet, for example, didn't occur within the first ten years.

0:52:00.280 --> 0:52:05.799
<v Speaker 9>It was much later. Again, unintended applications that marriage that

0:52:05.880 --> 0:52:09.640
<v Speaker 9>you know, have enormous impact on our lives, like social media.

0:52:09.760 --> 0:52:11.799
<v Speaker 9>So I think the same thing's going to happen with AI.

0:52:12.560 --> 0:52:16.799
<v Speaker 6>But is it is it different? Like the Internet is

0:52:17.160 --> 0:52:20.120
<v Speaker 6>not I wanted to say comfortable, but it's not because

0:52:20.120 --> 0:52:23.600
<v Speaker 6>there's some really bad things that happen and we know that,

0:52:23.800 --> 0:52:25.839
<v Speaker 6>right and that's the battle we have with social media,

0:52:25.840 --> 0:52:27.040
<v Speaker 6>and we want to talk to you about kind of

0:52:27.040 --> 0:52:29.759
<v Speaker 6>regulatory oversight of AI in a moment. But I just

0:52:29.960 --> 0:52:32.560
<v Speaker 6>I'm just trying to understand. You know, it does feel

0:52:32.600 --> 0:52:35.560
<v Speaker 6>so seamless and just such a part of everything we do.

0:52:36.480 --> 0:52:39.520
<v Speaker 6>But it hasn't necessarily replaced a ton of jobs. It's

0:52:39.560 --> 0:52:42.439
<v Speaker 6>created jobs, it's replaced some jobs. I guess you could say,

0:52:43.200 --> 0:52:46.560
<v Speaker 6>I'm just trying to understand, Like on what scale do

0:52:46.600 --> 0:52:49.879
<v Speaker 6>you put it? You mentioned the internet, So is it

0:52:49.960 --> 0:52:52.200
<v Speaker 6>apples to apples or is it something else?

0:52:53.440 --> 0:52:57.040
<v Speaker 9>No, Well, first of all, it uses the Internet, so

0:52:57.080 --> 0:53:02.439
<v Speaker 9>I mean that's like the the machinery that you need

0:53:02.480 --> 0:53:05.440
<v Speaker 9>to reach to scale up and reach a large population.

0:53:06.600 --> 0:53:10.560
<v Speaker 9>But it's more intimate than the Internet in the following

0:53:10.640 --> 0:53:13.600
<v Speaker 9>sense that it talks to us, right, I mean, it's

0:53:13.640 --> 0:53:16.440
<v Speaker 9>as if an alien landed on the Earth and could

0:53:16.480 --> 0:53:20.200
<v Speaker 9>talk to us in English and it knew everything about

0:53:20.239 --> 0:53:23.839
<v Speaker 9>you know, what humans, history, everything, and the only thing

0:53:23.880 --> 0:53:26.920
<v Speaker 9>we can be sure if it's not human. But it's

0:53:27.000 --> 0:53:30.000
<v Speaker 9>really quite remarkable. Let me give you one example of

0:53:30.040 --> 0:53:33.279
<v Speaker 9>something that I was really surprised at when they did

0:53:33.280 --> 0:53:36.880
<v Speaker 9>a study of whether people who needed cognitive therapy preferred

0:53:37.560 --> 0:53:43.440
<v Speaker 9>real humans or AI. They preferred AI, which was really

0:53:43.520 --> 0:53:45.759
<v Speaker 9>quite remarkable. I didn't expect that. And then part of

0:53:45.800 --> 0:53:49.720
<v Speaker 9>the reason is that the AI is not judgmental like humans.

0:53:50.440 --> 0:53:52.799
<v Speaker 6>Well wait, but doesn't it depends on the data like

0:53:52.840 --> 0:53:53.440
<v Speaker 6>we talk about.

0:53:53.520 --> 0:53:57.200
<v Speaker 3>It wasn't getting trained on judgmental data.

0:53:57.640 --> 0:54:01.799
<v Speaker 9>It was you know, actually, it's a good question, what

0:54:01.880 --> 0:54:03.880
<v Speaker 9>was it trained on. I think that it was fine

0:54:03.920 --> 0:54:10.120
<v Speaker 9>tuned with data from real subjects that we're talking with

0:54:10.200 --> 0:54:14.200
<v Speaker 9>a doctor. But even without that, I'll tell you again,

0:54:14.280 --> 0:54:18.439
<v Speaker 9>it's shocking is that it is actually empathy. These large

0:54:18.480 --> 0:54:22.480
<v Speaker 9>language models can empathize with humans. And why is it?

0:54:22.480 --> 0:54:24.680
<v Speaker 9>How is that? Well, it actually absorbed a lot of

0:54:24.800 --> 0:54:29.840
<v Speaker 9>text out there, novels, letters, and read it and so forth,

0:54:29.920 --> 0:54:36.080
<v Speaker 9>and where empathy was being part of the discussion, and

0:54:36.160 --> 0:54:37.440
<v Speaker 9>so it absorbed that too.

0:54:38.200 --> 0:54:41.440
<v Speaker 3>Well. I wanted to hear a little bit of your

0:54:41.440 --> 0:54:44.120
<v Speaker 3>thoughts on what we heard from Elon Musk. He actually

0:54:44.440 --> 0:54:47.840
<v Speaker 3>participated in a surprise conversation at the Future Investment Initiative

0:54:47.840 --> 0:54:49.680
<v Speaker 3>to discuss the future of AI.

0:54:50.080 --> 0:54:51.960
<v Speaker 16>It's most likely going to be great, and there's this

0:54:52.120 --> 0:54:56.360
<v Speaker 16>some chance which could be tense twenty percent, that it

0:54:56.680 --> 0:55:02.400
<v Speaker 16>goes bad. The chances on zero, it goes bad. But overall,

0:55:02.400 --> 0:55:04.480
<v Speaker 16>at one point, what you said, the covers eighty percent

0:55:04.520 --> 0:55:07.319
<v Speaker 16>full is one positive way to look at it. Maybe

0:55:07.400 --> 0:55:08.279
<v Speaker 16>ninety percent.

0:55:08.280 --> 0:55:12.239
<v Speaker 3>Okay, eighty or ninety percent positive. The question I have

0:55:12.320 --> 0:55:16.640
<v Speaker 3>for you is do we need an international regulatory body

0:55:16.800 --> 0:55:19.319
<v Speaker 3>to ensure or help ensure that this goes the right way?

0:55:19.920 --> 0:55:23.320
<v Speaker 9>Well, as you know, in the UK they have passed

0:55:23.880 --> 0:55:27.680
<v Speaker 9>an ai Act which is like one hundred pages long

0:55:27.800 --> 0:55:33.800
<v Speaker 9>and you know, incredibly detailed, and it's already absolute. I

0:55:34.040 --> 0:55:37.719
<v Speaker 9>just moving blasting forward and you know you're trying to

0:55:37.760 --> 0:55:41.600
<v Speaker 9>catch up with it. But I do believe that it's

0:55:41.640 --> 0:55:45.440
<v Speaker 9>absolutely essential that it be regulated, and it should be

0:55:45.520 --> 0:55:49.240
<v Speaker 9>regulated by people who are building it. The government, okay,

0:55:49.400 --> 0:55:52.799
<v Speaker 9>is the business of protecting people. And we'll see how

0:55:52.840 --> 0:55:57.160
<v Speaker 9>that plays out. But in for example, genetics, this happened,

0:55:57.400 --> 0:55:59.800
<v Speaker 9>you know, back in the sixties seventies. They had a

0:56:00.280 --> 0:56:03.239
<v Speaker 9>where they came together at a solomar and they came

0:56:03.320 --> 0:56:07.160
<v Speaker 9>up with rules and regulations for doing experiments under the

0:56:07.280 --> 0:56:11.080
<v Speaker 9>careful protection so that nothing leaks out, nothing gets out.

0:56:11.560 --> 0:56:13.120
<v Speaker 9>And I think we need to do the same.

0:56:14.520 --> 0:56:17.360
<v Speaker 6>Okay, So when does as you said, ten years for

0:56:17.400 --> 0:56:20.960
<v Speaker 6>the Internet to really kind of make its impact and

0:56:21.080 --> 0:56:25.400
<v Speaker 6>presence really known and maybe, you know, integrated into our lives.

0:56:25.520 --> 0:56:31.320
<v Speaker 6>So is it a decade before we see LMS and

0:56:31.480 --> 0:56:35.160
<v Speaker 6>AI at this level integrated into our lives.

0:56:36.160 --> 0:56:39.200
<v Speaker 9>We are at a stage that aviation was at when

0:56:40.440 --> 0:56:44.720
<v Speaker 9>at Kitty Hawk the Wright Brothers made the first flight.

0:56:44.920 --> 0:56:47.840
<v Speaker 9>It was ten feet up and one hundred feet long.

0:56:48.440 --> 0:56:52.520
<v Speaker 9>And that really was the you know, something that then

0:56:52.840 --> 0:56:56.680
<v Speaker 9>took decades and decades to build. And the most difficult thing,

0:56:56.719 --> 0:57:00.279
<v Speaker 9>by the way that airplanes, you know, design of airplaces

0:57:00.280 --> 0:57:03.319
<v Speaker 9>had to solve was control. How you how do you

0:57:03.400 --> 0:57:05.920
<v Speaker 9>make a go where you want to go without crashing?

0:57:06.000 --> 0:57:09.080
<v Speaker 9>And that's something that again it's like we're going through

0:57:09.120 --> 0:57:11.760
<v Speaker 9>right now with AI, And yes, it will take decades,

0:57:11.800 --> 0:57:13.120
<v Speaker 9>it's not going to happen overnight.

0:57:13.400 --> 0:57:16.160
<v Speaker 3>That was doctor Terrence Sanowski Francis krik Cher at the

0:57:16.240 --> 0:57:19.760
<v Speaker 3>Salk Institute for Biological Studies and Distinguished Professor at the

0:57:19.840 --> 0:57:23.040
<v Speaker 3>University of California at San Diego. His new book chat

0:57:23.080 --> 0:57:26.120
<v Speaker 3>GPT in the Future of AI, The Deep Language Revolution

0:57:26.520 --> 0:57:26.840
<v Speaker 3>is out.

0:57:26.880 --> 0:57:27.160
<v Speaker 5>Now.

0:57:27.360 --> 0:57:30.360
<v Speaker 3>You're listening to Bloomberg Business Week coming up from the

0:57:30.480 --> 0:57:32.840
<v Speaker 3>Road to the Web. How one app is harnessing the

0:57:32.880 --> 0:57:37.040
<v Speaker 3>power of AI to improve your cycling routine. This is Bloomberg.

0:57:38.080 --> 0:57:41.600
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:57:41.640 --> 0:57:44.880
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:57:44.920 --> 0:57:47.080
<v Speaker 2>on Apple car Play and then brout Auto with a

0:57:47.120 --> 0:57:50.160
<v Speaker 2>Bloomberg Business app, or watch us live on YouTube.

0:57:51.680 --> 0:57:54.800
<v Speaker 3>Well full disclosure, People who know me know I ride

0:57:54.800 --> 0:57:55.360
<v Speaker 3>bikes a lot.

0:57:55.520 --> 0:57:56.280
<v Speaker 14>You certainly do.

0:57:57.160 --> 0:58:00.160
<v Speaker 3>I'm a big swifter too. Zwift is well known among

0:58:00.240 --> 0:58:02.080
<v Speaker 3>cyclists as a way to train or compete when it's

0:58:02.120 --> 0:58:04.360
<v Speaker 3>too cold or rainy to go on your bike outside,

0:58:04.680 --> 0:58:06.400
<v Speaker 3>or if you want to get a quick workout. In

0:58:06.800 --> 0:58:09.360
<v Speaker 3>the app, connect cyclists riding their bikes inside to real

0:58:09.400 --> 0:58:12.520
<v Speaker 3>time races in virtual worlds through a mobile device, a computer,

0:58:12.720 --> 0:58:14.920
<v Speaker 3>or an Apple TV. Think about it like kind of

0:58:14.960 --> 0:58:18.600
<v Speaker 3>like gaming with your bike. The company is raised six

0:58:18.680 --> 0:58:23.000
<v Speaker 3>hundred and twenty million dollars from backers including KKR, Premiere Holdings,

0:58:23.000 --> 0:58:26.320
<v Speaker 3>Amazon's Alexa Fund, and more, giving it a market value

0:58:26.320 --> 0:58:28.320
<v Speaker 3>of more than a billion dollars. We've got with us,

0:58:28.440 --> 0:58:30.440
<v Speaker 3>Eric min, the co founder and CEO of Swift. A

0:58:30.440 --> 0:58:33.120
<v Speaker 3>lot has happened since you last joined us on Bloomberg Katie.

0:58:33.160 --> 0:58:34.240
<v Speaker 3>I don't know if you saw this, we got to

0:58:34.240 --> 0:58:35.640
<v Speaker 3>do this virtual ride together.

0:58:35.800 --> 0:58:37.000
<v Speaker 14>No, I remember it well.

0:58:37.120 --> 0:58:37.840
<v Speaker 3>It was pretty cool.

0:58:37.920 --> 0:58:39.480
<v Speaker 14>Yeah, I thought you were going to wear the outfit.

0:58:39.560 --> 0:58:40.280
<v Speaker 3>I'm not wearing that.

0:58:41.680 --> 0:58:42.760
<v Speaker 14>You got your helmet over there.

0:58:42.760 --> 0:58:45.360
<v Speaker 3>I got the helmet here. Don't need that for swift.

0:58:46.360 --> 0:58:48.120
<v Speaker 3>But there's a lot has happened. There was a there

0:58:48.120 --> 0:58:50.680
<v Speaker 3>was a round of layoffs earlier this year, a big

0:58:50.720 --> 0:58:54.200
<v Speaker 3>hardware pivot. But I think you being back as sole

0:58:54.320 --> 0:58:57.560
<v Speaker 3>CEO of the company is sort of among the biggest news.

0:58:58.200 --> 0:58:59.720
<v Speaker 3>Give us an update. How's the business going.

0:59:00.640 --> 0:59:04.640
<v Speaker 17>The business is doing really well. I mean it's doing

0:59:04.680 --> 0:59:08.000
<v Speaker 17>better than we expected. We've had some change earlier this year,

0:59:08.480 --> 0:59:11.600
<v Speaker 17>and we've pivoted and really the focus for the business

0:59:11.640 --> 0:59:13.920
<v Speaker 17>has been really around like what can we do to

0:59:14.000 --> 0:59:17.000
<v Speaker 17>supercharge our community, I think, which is the most valuable

0:59:17.000 --> 0:59:21.240
<v Speaker 17>asset that we have. So we are a leaner team

0:59:21.320 --> 0:59:23.680
<v Speaker 17>and we're finding that we're moving faster. Of course we're

0:59:23.720 --> 0:59:28.280
<v Speaker 17>doing less, but we're you know, we get to focus

0:59:28.360 --> 0:59:30.400
<v Speaker 17>on the things that I think we'll really move the

0:59:30.480 --> 0:59:33.600
<v Speaker 17>needle for us. So the business is doing great, and

0:59:34.040 --> 0:59:38.040
<v Speaker 17>you know, we launched new hardware this year. It's surprising,

0:59:37.840 --> 0:59:40.959
<v Speaker 17>doing very very well, and you know, over the next

0:59:41.040 --> 0:59:43.960
<v Speaker 17>few months is really the height of our season.

0:59:44.080 --> 0:59:45.520
<v Speaker 3>I do want to explain to people who might not

0:59:45.760 --> 0:59:48.560
<v Speaker 3>know what Swift is. When Eric says new hardware, we're

0:59:48.600 --> 0:59:53.080
<v Speaker 3>talking about an actual like bike that Zwift has released.

0:59:53.120 --> 0:59:56.000
<v Speaker 3>It's called the Swift Right smart bike. And typically the

0:59:56.040 --> 0:59:58.800
<v Speaker 3>way that people use Swift as they hook up their

0:59:59.120 --> 1:00:02.560
<v Speaker 3>own bike to what's called a trainer and one that

1:00:02.680 --> 1:00:05.320
<v Speaker 3>can be hooked up to a virtual world using Bluetooth

1:00:05.440 --> 1:00:09.120
<v Speaker 3>or another type of connection. So instead of using or

1:00:09.160 --> 1:00:12.000
<v Speaker 3>you're using a you're still using a trainer with the

1:00:12.040 --> 1:00:15.640
<v Speaker 3>smart bike. But what's the idea behind a thirteen hundred

1:00:15.640 --> 1:00:16.080
<v Speaker 3>dollars bike.

1:00:16.480 --> 1:00:19.520
<v Speaker 17>Yeah, I mean the price point is an important one.

1:00:19.680 --> 1:00:23.240
<v Speaker 17>It's probably less than half or third of what you

1:00:23.240 --> 1:00:25.600
<v Speaker 17>would typically pay for a smart bike. So we've i

1:00:25.640 --> 1:00:30.400
<v Speaker 17>think innovated on price. We've also developed and designed it

1:00:30.440 --> 1:00:32.600
<v Speaker 17>in a way that you can leverage existing hardwad that

1:00:32.640 --> 1:00:36.360
<v Speaker 17>you've already invested in. So what you have is essentially

1:00:36.360 --> 1:00:39.680
<v Speaker 17>a bike frame that slides onto a trainer that you

1:00:39.720 --> 1:00:42.640
<v Speaker 17>probably already purchased. The other piece of innovation that we

1:00:43.960 --> 1:00:47.320
<v Speaker 17>pushed about a year ago is what we call the ziftcog.

1:00:47.960 --> 1:00:51.720
<v Speaker 17>And you know, for non cyclis, it's very complicated to understand,

1:00:51.720 --> 1:00:54.680
<v Speaker 17>like what kind of gears you need to put on

1:00:54.720 --> 1:00:55.320
<v Speaker 17>these trainers.

1:00:55.680 --> 1:00:56.880
<v Speaker 3>We got rid of all that.

1:00:56.880 --> 1:00:59.840
<v Speaker 17>With a single cog and then what we layered on

1:00:59.840 --> 1:01:04.480
<v Speaker 17>top of that is a little device that can control

1:01:04.840 --> 1:01:09.240
<v Speaker 17>and create the gears virtually. And you know, our goal

1:01:09.400 --> 1:01:12.480
<v Speaker 17>is to of course bring down the cost of the

1:01:12.520 --> 1:01:15.360
<v Speaker 17>hardware to get ontos with, but also just to simplify

1:01:15.400 --> 1:01:18.640
<v Speaker 17>the onborne experience, and that is how we open up

1:01:18.640 --> 1:01:22.360
<v Speaker 17>the market. All our studies have suggested that those are

1:01:22.360 --> 1:01:26.240
<v Speaker 17>the two drivers for holding us back from growing even more.

1:01:26.480 --> 1:01:28.480
<v Speaker 14>Well, let's talk a little bit more about your business.

1:01:28.560 --> 1:01:31.600
<v Speaker 14>I assume you make money off of a subscription based

1:01:32.240 --> 1:01:35.240
<v Speaker 14>sort of membership. There where are you when it comes

1:01:35.240 --> 1:01:37.360
<v Speaker 14>to membership. I think the last time you guys spoke,

1:01:37.400 --> 1:01:40.520
<v Speaker 14>you said around a million members. How has that number changed?

1:01:40.840 --> 1:01:44.640
<v Speaker 17>We're over a million. I think the pandemic that wonders

1:01:44.640 --> 1:01:46.880
<v Speaker 17>for us, it also had it was a double edged

1:01:46.880 --> 1:01:49.720
<v Speaker 17>sword because you know, of course, like many companies, we

1:01:49.720 --> 1:01:53.840
<v Speaker 17>thought the growth would continue forever. But what we're finding

1:01:53.880 --> 1:01:57.640
<v Speaker 17>today is that it's these these are we're growing. We're

1:01:57.680 --> 1:02:01.200
<v Speaker 17>certainly growing on a number of different level, both revenue

1:02:02.000 --> 1:02:05.360
<v Speaker 17>and subscribers. But I think, you know, to double your

1:02:05.360 --> 1:02:07.320
<v Speaker 17>business like we did during the pandemic is just an

1:02:07.400 --> 1:02:11.640
<v Speaker 17>unrealistic expectation. So we've adjusted our business to that.

1:02:12.240 --> 1:02:14.320
<v Speaker 3>One thing that you've also done within the last year

1:02:14.360 --> 1:02:17.000
<v Speaker 3>is actually increased prices. I believe since the first time,

1:02:17.040 --> 1:02:20.000
<v Speaker 3>since twenty seventeen. So for years it costs about fifteen

1:02:20.040 --> 1:02:22.600
<v Speaker 3>bucks a month. Now it's twenty dollars per month. If

1:02:23.000 --> 1:02:27.000
<v Speaker 3>not an annual membership, that's a monthly membership. How did

1:02:27.000 --> 1:02:28.840
<v Speaker 3>members respond? What has churn been like?

1:02:29.080 --> 1:02:32.040
<v Speaker 17>Well, you know, I don't think anyone likes price increases,

1:02:32.240 --> 1:02:35.520
<v Speaker 17>let's be honest, right, but I think I certainly we

1:02:35.560 --> 1:02:38.160
<v Speaker 17>feel very good about it. The value that we offer

1:02:38.680 --> 1:02:42.600
<v Speaker 17>to our community at twenty dollars a month and two

1:02:42.720 --> 1:02:46.280
<v Speaker 17>hundred for the year, is is really good value given

1:02:46.520 --> 1:02:48.080
<v Speaker 17>you know, all the other products that are out there

1:02:48.080 --> 1:02:51.960
<v Speaker 17>and the experiences that we offer. But things have gotten

1:02:51.960 --> 1:02:55.600
<v Speaker 17>more expensive since since twenty seventeen, we've not raised the prices,

1:02:55.600 --> 1:02:58.880
<v Speaker 17>and I remember reading from community members saying, hey, you

1:02:58.880 --> 1:03:02.040
<v Speaker 17>should have just increased rice is incrementally Well, we would

1:03:02.080 --> 1:03:05.439
<v Speaker 17>have actually collected more revenues had you done that, But

1:03:05.960 --> 1:03:08.240
<v Speaker 17>we felt that the timing was right for us to

1:03:09.360 --> 1:03:13.040
<v Speaker 17>increase the price. And I think the customers have largely

1:03:13.120 --> 1:03:14.280
<v Speaker 17>voted with their wallets.

1:03:14.720 --> 1:03:16.240
<v Speaker 3>Any more price shikes on the horizon.

1:03:17.360 --> 1:03:21.000
<v Speaker 17>Look, you know things, I would never say that there

1:03:21.040 --> 1:03:24.840
<v Speaker 17>will never be future price hikes. I you know, I

1:03:24.880 --> 1:03:28.200
<v Speaker 17>think the five dollars move on a relative basis is big.

1:03:29.000 --> 1:03:30.920
<v Speaker 17>If we do have future price rise, I think we

1:03:30.920 --> 1:03:33.760
<v Speaker 17>should do it more incrementally, like I see from Netflix

1:03:33.840 --> 1:03:34.680
<v Speaker 17>almost every year.

1:03:35.240 --> 1:03:37.680
<v Speaker 14>Well, i'd love to talk about, you know what went

1:03:38.200 --> 1:03:41.720
<v Speaker 14>into that? Like Tim mentioned first price sikes since twenty seventeen,

1:03:42.080 --> 1:03:44.800
<v Speaker 14>what did that decision try look like? Because you think

1:03:44.800 --> 1:03:48.840
<v Speaker 14>about everything that's happened since twenty seventeen, it's exhausting and

1:03:48.880 --> 1:03:51.760
<v Speaker 14>it's been a really strange economic moment.

1:03:52.960 --> 1:03:57.840
<v Speaker 17>Well, we delayed and delayed our price increase, and we've

1:03:57.880 --> 1:04:00.720
<v Speaker 17>done this twice before, every time we've done a rice increase.

1:04:01.600 --> 1:04:03.680
<v Speaker 17>The you know how we feel about it is we

1:04:03.680 --> 1:04:07.120
<v Speaker 17>should have done it much earlier. And you know, look,

1:04:07.200 --> 1:04:10.840
<v Speaker 17>things do get more expensive. Our costs have gone up,

1:04:10.840 --> 1:04:13.000
<v Speaker 17>and we haven't passed that on to our customers. The

1:04:13.040 --> 1:04:16.440
<v Speaker 17>product is vastly improved since twenty and seventeen. So we

1:04:16.480 --> 1:04:18.520
<v Speaker 17>feel really good about it and we stand behind it

1:04:18.600 --> 1:04:21.280
<v Speaker 17>when we you know, we were committed to making that change.

1:04:21.560 --> 1:04:23.200
<v Speaker 3>Yeah, that's actually one thing that I that I haven't

1:04:23.200 --> 1:04:26.480
<v Speaker 3>talked about the heads of display the worlds. There's been

1:04:26.560 --> 1:04:29.760
<v Speaker 3>a lot of changes to the gaming environment since I

1:04:29.800 --> 1:04:32.880
<v Speaker 3>started swifting, which was during the pandemic. Personally, I don't

1:04:32.880 --> 1:04:35.320
<v Speaker 3>see myself. That's the main way I actually ride and

1:04:35.320 --> 1:04:38.040
<v Speaker 3>get exercised because I have two little kids and going

1:04:38.040 --> 1:04:39.720
<v Speaker 3>on a five hour bike ride on a Saturday like

1:04:39.720 --> 1:04:40.160
<v Speaker 3>I used to do.

1:04:40.240 --> 1:04:41.360
<v Speaker 14>Your wife isn't into that.

1:04:41.600 --> 1:04:44.520
<v Speaker 3>She's just not feasible right now. So Swift is where

1:04:44.560 --> 1:04:47.160
<v Speaker 3>I do it. You run a lot here I do.

1:04:47.560 --> 1:04:51.520
<v Speaker 3>Are you a Strava person? No, okay, that's interesting. She's

1:04:51.520 --> 1:04:52.400
<v Speaker 3>a garment person.

1:04:52.600 --> 1:04:54.800
<v Speaker 14>I feel like I killed a line of questioning you

1:04:54.840 --> 1:04:55.320
<v Speaker 14>were about to go.

1:04:55.480 --> 1:04:57.400
<v Speaker 3>That's fine, I'm going to turn this way. I'll talk

1:04:57.440 --> 1:04:58.160
<v Speaker 3>to Eric about it.

1:04:58.160 --> 1:04:58.440
<v Speaker 5>You did.

1:04:59.520 --> 1:05:01.440
<v Speaker 3>One thing I know just recently with Strava is the

1:05:01.520 --> 1:05:07.800
<v Speaker 3>AI sort of integration that they're experimenting with. How are

1:05:07.840 --> 1:05:11.160
<v Speaker 3>you using AI? You recently launched for me recently virtual

1:05:11.240 --> 1:05:13.960
<v Speaker 3>ride Partners, which I find a really helpful thing.

1:05:13.960 --> 1:05:14.200
<v Speaker 16>For me.

1:05:14.320 --> 1:05:18.080
<v Speaker 3>So this is like a pacer that will kind of

1:05:18.240 --> 1:05:21.600
<v Speaker 3>go at a specific speed that you can keep up with,

1:05:21.640 --> 1:05:25.520
<v Speaker 3>and it's really helpful for training and for riding. How

1:05:25.560 --> 1:05:26.360
<v Speaker 3>are you thinking about AI?

1:05:26.880 --> 1:05:32.240
<v Speaker 17>So we already use AI in our engineering development, so

1:05:32.840 --> 1:05:35.240
<v Speaker 17>that's already been happening. I think in terms of how

1:05:36.360 --> 1:05:41.240
<v Speaker 17>we can expose these types of technology for consumer related features,

1:05:42.440 --> 1:05:46.120
<v Speaker 17>we're absolutely thinking about that. And the two obvious places

1:05:46.240 --> 1:05:50.360
<v Speaker 17>will be the conversational you know AI experience that you know,

1:05:50.360 --> 1:05:52.440
<v Speaker 17>for example, Strava is doing, and I think that's going

1:05:52.520 --> 1:05:56.000
<v Speaker 17>to be table mistakes for many many products. You know,

1:05:56.040 --> 1:05:59.160
<v Speaker 17>it's not going to be something you know so innovative,

1:05:59.200 --> 1:06:02.640
<v Speaker 17>it's we have to offer it. And I think the

1:06:02.680 --> 1:06:06.320
<v Speaker 17>other opportunity for us and others is just using machine

1:06:06.360 --> 1:06:07.720
<v Speaker 17>learning to.

1:06:07.200 --> 1:06:08.840
<v Speaker 3>To figure out exactly.

1:06:08.600 --> 1:06:11.960
<v Speaker 17>What to offer in terms of content and when and

1:06:12.000 --> 1:06:16.240
<v Speaker 17>with whom. That I think is the next innovation that's.

1:06:16.000 --> 1:06:18.920
<v Speaker 3>More like an Instagram timeline approach, where it like serves

1:06:18.960 --> 1:06:20.640
<v Speaker 3>you what you think you are, yes.

1:06:20.480 --> 1:06:23.240
<v Speaker 17>Yes, yes, And I think you know it can factor

1:06:23.320 --> 1:06:26.920
<v Speaker 17>into you know your usage behavior, who your friends are,

1:06:27.640 --> 1:06:30.200
<v Speaker 17>when you know what kind of events you like, what

1:06:30.320 --> 1:06:32.959
<v Speaker 17>kind of fitness you have today and we can serve

1:06:33.040 --> 1:06:34.960
<v Speaker 17>up the right content at the right time. I think

1:06:35.000 --> 1:06:39.840
<v Speaker 17>that that is innovation that no one has really, you know,

1:06:40.560 --> 1:06:43.520
<v Speaker 17>produced yet, But that's an exciting opportunity for us.

1:06:43.600 --> 1:06:47.320
<v Speaker 14>What about AI and coaching, I asked, because I think

1:06:47.320 --> 1:06:51.560
<v Speaker 14>about myself, you know, my world revolves around me, and

1:06:51.600 --> 1:06:54.240
<v Speaker 14>the thing that I miss about college is having a coach.

1:06:54.280 --> 1:06:56.160
<v Speaker 14>And I was part of a running club, but it

1:06:56.240 --> 1:06:59.360
<v Speaker 14>was just too much, so I sort of like making

1:06:59.400 --> 1:07:01.280
<v Speaker 14>up my own trains. I could see a lot of

1:07:01.360 --> 1:07:04.240
<v Speaker 14>value in having an AI coach be able.

1:07:04.040 --> 1:07:05.400
<v Speaker 10>To see your SATs, see.

1:07:05.160 --> 1:07:07.000
<v Speaker 14>What you're doing, and suggest workouts.

1:07:07.160 --> 1:07:09.120
<v Speaker 17>Let's face it, if you can afford it, you'd rather

1:07:09.160 --> 1:07:12.000
<v Speaker 17>have a human coach right right, because they will motivate

1:07:12.040 --> 1:07:14.480
<v Speaker 17>you more than any any tool that you have in

1:07:14.520 --> 1:07:16.280
<v Speaker 17>front of you. But I think the two pieces that

1:07:16.320 --> 1:07:19.200
<v Speaker 17>I just mentioned to you, which is like a conversation

1:07:19.280 --> 1:07:22.520
<v Speaker 17>about how you did with your workout, and then the

1:07:22.840 --> 1:07:26.160
<v Speaker 17>AI to tell you exactly what you should recommend next,

1:07:26.320 --> 1:07:30.360
<v Speaker 17>those two pieces should in theory represent you know, a

1:07:30.440 --> 1:07:33.840
<v Speaker 17>replacement for an expensive coach, and that I think is

1:07:33.840 --> 1:07:37.960
<v Speaker 17>a solution for you know, the ninety five percent of

1:07:38.000 --> 1:07:41.919
<v Speaker 17>the customer base. Yeah, the five percent should and will

1:07:41.960 --> 1:07:44.840
<v Speaker 17>continue to invest in, you know, human coaches.

1:07:45.000 --> 1:07:47.200
<v Speaker 3>Two hundred to two hundred and fifty dollars three hundred

1:07:47.240 --> 1:07:50.160
<v Speaker 3>dollars a month or more, by the way, for a coach,

1:07:50.680 --> 1:07:52.880
<v Speaker 3>for a coach that you've never met, and just like puts,

1:07:52.960 --> 1:07:54.600
<v Speaker 3>you know, yeats in Swift.

1:07:54.360 --> 1:07:56.680
<v Speaker 14>And so I mean, I just I you know, I'm

1:07:56.720 --> 1:07:58.920
<v Speaker 14>not like I'm not going to the Olympics. You did

1:07:58.920 --> 1:08:01.440
<v Speaker 14>go to the Olympics, then I didn't compete with the

1:08:02.200 --> 1:08:05.080
<v Speaker 14>devastated to say, it feels like a steep bill for

1:08:05.720 --> 1:08:06.600
<v Speaker 14>my ambitions.

1:08:07.160 --> 1:08:11.000
<v Speaker 3>Eric, I'm wondering about competition here because you guys were

1:08:11.680 --> 1:08:13.960
<v Speaker 3>pretty much the only game in town for a while

1:08:14.080 --> 1:08:17.200
<v Speaker 3>with what you did. At least Copy Trainer was around before.

1:08:17.280 --> 1:08:20.600
<v Speaker 3>But Training Peaks bought Indie Vello and now they have

1:08:20.640 --> 1:08:24.080
<v Speaker 3>Training Peaks Virtual. I remember before I joined Strava, I

1:08:24.280 --> 1:08:26.160
<v Speaker 3>used Training Peaks and I quit Training Peaks during the

1:08:26.200 --> 1:08:28.839
<v Speaker 3>pandemic or to go to Swift. Excuse me, not Strava.

1:08:30.680 --> 1:08:32.840
<v Speaker 3>How are you thinking about competition right now?

1:08:33.400 --> 1:08:37.880
<v Speaker 17>Well, we have a lot of competition, it's not surprising

1:08:38.720 --> 1:08:43.080
<v Speaker 17>and we've had it all along. I think the Training

1:08:43.080 --> 1:08:47.280
<v Speaker 17>Peaks and indievelopment makes absolute sense. For Training Peaks. I

1:08:47.320 --> 1:08:51.439
<v Speaker 17>mean we are partners with many different training platforms that

1:08:51.439 --> 1:08:54.519
<v Speaker 17>are out there. We launched something called the Training API,

1:08:54.680 --> 1:09:00.200
<v Speaker 17>and we've onboarded multiple training apps. So we continue to

1:09:00.320 --> 1:09:04.880
<v Speaker 17>will continue to be a platform where coaches and these

1:09:04.920 --> 1:09:09.480
<v Speaker 17>coaching apps can push activities and event you know, activities

1:09:10.200 --> 1:09:13.040
<v Speaker 17>where you can actually do the event ons with. So

1:09:13.080 --> 1:09:16.920
<v Speaker 17>that won't change. It'll be really and I don't know

1:09:16.960 --> 1:09:19.960
<v Speaker 17>the strategy behind Training Peaks and what they'll do with

1:09:20.200 --> 1:09:23.000
<v Speaker 17>in development doesn't really change what we need to focus on.

1:09:23.680 --> 1:09:27.799
<v Speaker 17>And our focus is really to do everything to continue

1:09:27.840 --> 1:09:31.599
<v Speaker 17>to add value and features for a community. That's really

1:09:31.640 --> 1:09:33.240
<v Speaker 17>the important asset that we have.

1:09:33.680 --> 1:09:35.960
<v Speaker 14>Let's talk a little bit more about the future. This

1:09:36.000 --> 1:09:38.760
<v Speaker 14>is something I love to ask private companies. Are you

1:09:38.840 --> 1:09:42.559
<v Speaker 14>thinking about IPO? Would you be open to either acquiring

1:09:42.600 --> 1:09:44.880
<v Speaker 14>a business or being acquired? What are you thinking about

1:09:44.880 --> 1:09:45.719
<v Speaker 14>along those lines.

1:09:47.040 --> 1:09:51.360
<v Speaker 17>I think we should always look at opportunities to acquire, merge.

1:09:52.080 --> 1:09:54.519
<v Speaker 17>Those are opportunities we should be looking at all the time.

1:09:54.920 --> 1:09:58.760
<v Speaker 17>In terms of you know, you know, what is our

1:09:59.400 --> 1:10:02.560
<v Speaker 17>end go in terms of like a liquidity event, I

1:10:02.640 --> 1:10:05.720
<v Speaker 17>think that just will take some time. But I think

1:10:05.760 --> 1:10:08.920
<v Speaker 17>we all have aspirations of being a public listed company.

1:10:09.240 --> 1:10:11.880
<v Speaker 17>Whether that happens you know, in three years or five years,

1:10:12.120 --> 1:10:15.120
<v Speaker 17>I don't know whether you know we do that alone

1:10:15.200 --> 1:10:17.680
<v Speaker 17>or we do it with with others. You know, these

1:10:17.720 --> 1:10:20.400
<v Speaker 17>are all I think things. Time will only tell and

1:10:20.520 --> 1:10:26.320
<v Speaker 17>how that unfolds. But absolutely, our board, my co founders,

1:10:26.320 --> 1:10:31.479
<v Speaker 17>my management team, and investors have big aspirations for this business.

1:10:31.479 --> 1:10:35.200
<v Speaker 17>So that hasn't changed. It's just timing, is everything right?

1:10:35.520 --> 1:10:37.479
<v Speaker 3>I mentioned that you raised more than six hundred million

1:10:37.520 --> 1:10:41.200
<v Speaker 3>dollars since inception. Last time you and I spoke, you

1:10:41.200 --> 1:10:44.280
<v Speaker 3>said you didn't need to raise money in the near future. Yeah,

1:10:44.320 --> 1:10:46.320
<v Speaker 3>how's the cash balance looking right now?

1:10:46.360 --> 1:10:52.200
<v Speaker 17>We're very fortunate we we didn't spend all that capital,

1:10:52.840 --> 1:10:55.920
<v Speaker 17>so we have a pretty strong balance sheet. I don't

1:10:55.960 --> 1:10:58.879
<v Speaker 17>think we need to raise any more capital. That's helpful,

1:10:58.920 --> 1:11:03.240
<v Speaker 17>and that gives us ever ever, I just yeah, ever,

1:11:03.880 --> 1:11:06.840
<v Speaker 17>which is great. It gives us a lot of optionality.

1:11:08.120 --> 1:11:10.439
<v Speaker 17>But you know, look, having just a lot of cash

1:11:10.479 --> 1:11:13.559
<v Speaker 17>doesn't help either. We need to deploy it and smartly,

1:11:13.640 --> 1:11:17.280
<v Speaker 17>and we need to think of how we can leverage

1:11:17.320 --> 1:11:19.200
<v Speaker 17>that to build a business.

1:11:19.439 --> 1:11:22.200
<v Speaker 3>Last question, how do you you know the cycling business?

1:11:22.280 --> 1:11:24.679
<v Speaker 3>There's a ceiling there there are only so many people

1:11:25.240 --> 1:11:28.360
<v Speaker 3>who want to be riding bikes in their basement. How

1:11:28.400 --> 1:11:29.479
<v Speaker 3>do you get people like Katie?

1:11:30.640 --> 1:11:32.919
<v Speaker 17>Well, first you have to get rid of the basement

1:11:33.000 --> 1:11:33.960
<v Speaker 17>or the garage thing.

1:11:34.240 --> 1:11:35.840
<v Speaker 3>And that's why we launched the ride.

1:11:36.000 --> 1:11:40.320
<v Speaker 17>It's beautiful, it's it's in white. We deliberately picked white

1:11:40.360 --> 1:11:44.400
<v Speaker 17>instead of black because in our testing it resonated really

1:11:44.439 --> 1:11:45.599
<v Speaker 17>well with women.

1:11:45.640 --> 1:11:46.200
<v Speaker 3>It's interesting.

1:11:46.320 --> 1:11:50.160
<v Speaker 17>Yeah, and I think you know, we're not just going

1:11:50.200 --> 1:11:54.240
<v Speaker 17>after cyclist. We're going after people who want to exercise

1:11:54.439 --> 1:11:57.519
<v Speaker 17>and who want to get fit and cycling just the

1:11:57.560 --> 1:11:59.960
<v Speaker 17>indoor bike and cycling in general happens to be just

1:12:00.000 --> 1:12:02.320
<v Speaker 17>it's a great activity. You can do it for a

1:12:02.360 --> 1:12:05.519
<v Speaker 17>long time, it's low impact, and you have access with

1:12:05.600 --> 1:12:08.000
<v Speaker 17>your hands, and you can get engaged with an experience

1:12:08.080 --> 1:12:12.160
<v Speaker 17>like Swift. So it's not just recyclists. We hope that

1:12:12.200 --> 1:12:14.840
<v Speaker 17>the bike really opens up the addressable market for us.

1:12:15.520 --> 1:12:18.719
<v Speaker 3>Our thanks to Eric Mann, co founder and CEO of Swift,

1:12:19.120 --> 1:12:22.759
<v Speaker 3>still adad on Bloomberg Business Week five rival NBA owners

1:12:22.880 --> 1:12:26.400
<v Speaker 3>meet for dinner and craft a premium tequila the story

1:12:26.400 --> 1:12:30.160
<v Speaker 3>of Sincoto Tequila. On the other side, this is Bloomberg.

1:12:31.360 --> 1:12:34.920
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

1:12:34.960 --> 1:12:38.200
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

1:12:38.200 --> 1:12:40.360
<v Speaker 2>on Apple, car Play and and Broud Auto with a

1:12:40.400 --> 1:12:44.120
<v Speaker 2>Bloomberg Business at or watch us live on YouTube.

1:12:44.960 --> 1:12:48.120
<v Speaker 3>Okay, Carol Masser, I'm with you. Picture this. Yes, Michael

1:12:48.200 --> 1:12:49.559
<v Speaker 3>Jordan cool, Yes.

1:12:49.439 --> 1:12:50.200
<v Speaker 2>That's Michael Jordan.

1:12:50.280 --> 1:12:51.479
<v Speaker 6>Really, that's what I thought.

1:12:51.760 --> 1:12:54.760
<v Speaker 3>Genie Buss of the La Lakers, Cool West Edens of

1:12:54.840 --> 1:12:58.680
<v Speaker 3>the Milwaukee Oh, my bos, god Wick Grausebeck, and Amelia

1:12:58.760 --> 1:13:02.439
<v Speaker 3>Fessalari of the Celtics. They all get together for dinner. No,

1:13:02.560 --> 1:13:04.800
<v Speaker 3>it's not the start of some sort of you know,

1:13:05.000 --> 1:13:05.880
<v Speaker 3>NBA on her joke.

1:13:06.000 --> 1:13:08.120
<v Speaker 6>No, it's sort of a really cool company.

1:13:07.800 --> 1:13:11.080
<v Speaker 3>Tequila company, Sinkora Tequila.

1:13:10.479 --> 1:13:12.519
<v Speaker 6>Right and company lore has it that the dinner happened

1:13:12.520 --> 1:13:14.679
<v Speaker 6>back in twenty sixteen. This is like, you can almost

1:13:14.680 --> 1:13:17.360
<v Speaker 6>feel like it should be a streaming series already. Fast

1:13:17.400 --> 1:13:20.080
<v Speaker 6>forward to today and sin Koro Tequila has sold more

1:13:20.120 --> 1:13:22.639
<v Speaker 6>than two and a half million bottles. It's won more

1:13:22.680 --> 1:13:26.639
<v Speaker 6>than two dozen awards. Investors now include Serena Williams, Derek Jeter,

1:13:26.800 --> 1:13:28.880
<v Speaker 6>who was just in our studio a couple.

1:13:28.560 --> 1:13:29.040
<v Speaker 10>Of weeks ago.

1:13:29.160 --> 1:13:30.360
<v Speaker 3>He wasn't drinking tequila.

1:13:30.520 --> 1:13:34.240
<v Speaker 6>He was not No, also Michael Strahan and more. Amelia

1:13:34.280 --> 1:13:37.879
<v Speaker 6>Fazzalari is co founder and executive chairperson of Sincoro Tequila.

1:13:38.080 --> 1:13:39.599
<v Speaker 6>She joins us here in our Bloomberg studio.

1:13:39.720 --> 1:13:40.479
<v Speaker 9>Amelia, it is.

1:13:40.520 --> 1:13:42.200
<v Speaker 6>So good to see you.

1:13:42.320 --> 1:13:43.639
<v Speaker 9>How are you great?

1:13:43.720 --> 1:13:45.960
<v Speaker 10>And it's great to be back in the building.

1:13:46.120 --> 1:13:46.719
<v Speaker 3>What do you think?

1:13:46.880 --> 1:13:49.200
<v Speaker 10>I love it. I missed bringing back some good memories

1:13:49.320 --> 1:13:51.360
<v Speaker 10>one hundred percent. I was here twenty three years.

1:13:51.640 --> 1:13:52.519
<v Speaker 9>It's a long time.

1:13:52.720 --> 1:13:55.120
<v Speaker 3>You did everything from head of marketing for Bloomberg TV,

1:13:55.280 --> 1:13:57.879
<v Speaker 3>you ran the trading system department, you led the product

1:13:57.880 --> 1:14:02.080
<v Speaker 3>strategy department, and this by tequila tequila.

1:14:02.200 --> 1:14:02.439
<v Speaker 17>I know.

1:14:02.680 --> 1:14:05.600
<v Speaker 6>Well, you know, we always love like someone's journey and

1:14:05.640 --> 1:14:07.719
<v Speaker 6>how they get to something like what is it about

1:14:07.800 --> 1:14:09.960
<v Speaker 6>kind of your background and the things that you did

1:14:10.200 --> 1:14:11.720
<v Speaker 6>got you to where you are to be.

1:14:11.720 --> 1:14:14.439
<v Speaker 10>Well, actually, that's really interesting because there is a connection

1:14:14.520 --> 1:14:17.719
<v Speaker 10>because most of my time at Bloomberg I was involved

1:14:17.720 --> 1:14:22.559
<v Speaker 10>in startups and involved in starting new businesses. And so

1:14:22.840 --> 1:14:25.160
<v Speaker 10>when and I remember Mike Bloomberg saying to me a

1:14:25.160 --> 1:14:27.759
<v Speaker 10>long time ago, it doesn't really matter what the subject

1:14:27.800 --> 1:14:29.880
<v Speaker 10>matter is. It's your approach to starting and running a

1:14:29.880 --> 1:14:33.160
<v Speaker 10>business that matters because you can learn the subject matter right.

1:14:33.600 --> 1:14:35.640
<v Speaker 10>And so I did remember that when when we were

1:14:35.640 --> 1:14:38.479
<v Speaker 10>starting the tequila company, because it was very different than

1:14:38.560 --> 1:14:42.360
<v Speaker 10>commodities or anything else I was involved in. But it worked,

1:14:42.360 --> 1:14:45.559
<v Speaker 10>you know. It was it was a focus on trying

1:14:45.640 --> 1:14:49.599
<v Speaker 10>to do things at the very highest level. And you know,

1:14:49.680 --> 1:14:53.720
<v Speaker 10>my partners are incredible and they're incredibly competitive, and so

1:14:53.840 --> 1:14:54.840
<v Speaker 10>there's a very high bar.

1:14:55.160 --> 1:14:57.679
<v Speaker 3>So it's interesting because you know the story that dinner

1:14:57.800 --> 1:15:00.559
<v Speaker 3>goes back at twenty sixteen is company law, right, But

1:15:00.600 --> 1:15:02.479
<v Speaker 3>you didn't launch for a few years because you just

1:15:02.520 --> 1:15:04.160
<v Speaker 3>celebrated your five year anniversary.

1:15:04.280 --> 1:15:07.280
<v Speaker 10>True, I'm glad you're asking that.

1:15:06.680 --> 1:15:09.960
<v Speaker 3>Why did it take so long? Is that normal for tequila?

1:15:09.960 --> 1:15:10.240
<v Speaker 3>I don't know.

1:15:10.439 --> 1:15:12.640
<v Speaker 10>I don't think that is normal for tequila, but it

1:15:12.800 --> 1:15:15.280
<v Speaker 10>was the norm for us. And the reason for that

1:15:15.560 --> 1:15:18.680
<v Speaker 10>is and one of the unique aspects about Sincoro is

1:15:18.760 --> 1:15:23.280
<v Speaker 10>we created this tequila. We literally created the recipe and

1:15:24.240 --> 1:15:27.599
<v Speaker 10>the liquid was our north star from day one. Nothing

1:15:27.640 --> 1:15:29.920
<v Speaker 10>else mattered. We had to get the liquid right. And

1:15:30.000 --> 1:15:33.080
<v Speaker 10>when from that first famous dinner now in the summer

1:15:33.120 --> 1:15:36.000
<v Speaker 10>of twenty sixteen, you know, Michael was a true tequila

1:15:36.040 --> 1:15:37.080
<v Speaker 10>Commosseewer in the group, and.

1:15:37.040 --> 1:15:38.400
<v Speaker 3>He told me Michael Jordan.

1:15:38.560 --> 1:15:41.000
<v Speaker 10>Michael Jordan, that would be mj that would be Michael Jordan,

1:15:41.520 --> 1:15:44.400
<v Speaker 10>and he taught us how to drink tequila, and we

1:15:44.439 --> 1:15:46.880
<v Speaker 10>realized we had a shared love for tequila and that

1:15:47.080 --> 1:15:51.240
<v Speaker 10>really was the you know, we had to make the

1:15:51.240 --> 1:15:53.800
<v Speaker 10>most delicious tequila. That's what we talked about. We wanted

1:15:53.800 --> 1:15:56.240
<v Speaker 10>a tequila that was super smooth and had a long,

1:15:56.280 --> 1:15:59.200
<v Speaker 10>beautiful finish, like a fine cognac or bourbon. And so

1:15:59.280 --> 1:16:02.880
<v Speaker 10>it took us three year. We created a thousand tequilas

1:16:03.080 --> 1:16:06.000
<v Speaker 10>over a three year period, and to this day, Michael

1:16:06.000 --> 1:16:08.599
<v Speaker 10>and I taste every batch before we wor Jordan Michael

1:16:08.680 --> 1:16:12.639
<v Speaker 10>Juran to ensure that it is the best. What did

1:16:12.640 --> 1:16:15.320
<v Speaker 10>he teach you about how to taste to kill? Yeah,

1:16:15.360 --> 1:16:19.120
<v Speaker 10>that's great, great question. So we looked for four things

1:16:19.280 --> 1:16:23.439
<v Speaker 10>and first being color, even the crystal even the blanco.

1:16:23.720 --> 1:16:26.200
<v Speaker 10>It's clear, but it needed to be a crystal clear

1:16:27.160 --> 1:16:30.680
<v Speaker 10>blanco and obviously our aged expressions. And then there is

1:16:30.720 --> 1:16:33.559
<v Speaker 10>the nose, like what does it smell like? You wanted

1:16:33.560 --> 1:16:37.040
<v Speaker 10>to have a beautiful aroma. And then the taste, which

1:16:37.120 --> 1:16:40.280
<v Speaker 10>needed to be smooth on the palette. And then a long,

1:16:40.320 --> 1:16:43.320
<v Speaker 10>beautiful finish like a fine Coniak or Bourbon. So that's

1:16:43.360 --> 1:16:44.080
<v Speaker 10>what we looked for.

1:16:44.160 --> 1:16:45.360
<v Speaker 6>That was the cork popping.

1:16:46.120 --> 1:16:48.800
<v Speaker 10>Yeah, that in the moment, keep going, keep going.

1:16:49.320 --> 1:16:52.000
<v Speaker 3>What I think is so interesting about this is when

1:16:52.120 --> 1:16:56.720
<v Speaker 3>you look at especially celebrity backed alcohol companies, oftentimes they

1:16:56.760 --> 1:16:59.799
<v Speaker 3>sort of go with, Okay, what is the hot spirit

1:17:00.160 --> 1:17:02.720
<v Speaker 3>of the moment. And it seems like you guys were

1:17:02.760 --> 1:17:06.599
<v Speaker 3>a little ahead of tequila becoming such a big part

1:17:06.720 --> 1:17:09.960
<v Speaker 3>of American culture, at least because in the last few

1:17:10.040 --> 1:17:13.280
<v Speaker 3>years you've had some huge exits when it comes to tequila.

1:17:13.320 --> 1:17:15.160
<v Speaker 3>But you guys had this idea close to a decade ago.

1:17:15.400 --> 1:17:15.760
<v Speaker 17>We did.

1:17:15.920 --> 1:17:19.160
<v Speaker 10>And for us, you know, Michael Jordan's part of the group,

1:17:19.200 --> 1:17:22.679
<v Speaker 10>and now we've got other incredible celebrities part of the group.

1:17:22.680 --> 1:17:25.280
<v Speaker 10>But it was never about the celebrity for us. And

1:17:26.080 --> 1:17:30.040
<v Speaker 10>if you notice in our marketing, we're not celebrity focused

1:17:30.200 --> 1:17:32.719
<v Speaker 10>or you know, there's no one standing up saying please,

1:17:33.080 --> 1:17:35.720
<v Speaker 10>you know, buy this tequila because of me. We want

1:17:35.760 --> 1:17:38.679
<v Speaker 10>people that you may hear about Sincoro because of Michael

1:17:38.760 --> 1:17:42.840
<v Speaker 10>Jordan or Derek Jeter, Serena Williams. But you're going to

1:17:42.960 --> 1:17:45.679
<v Speaker 10>buy your first bottle, your second, your third, and hopefully

1:17:45.720 --> 1:17:50.479
<v Speaker 10>many cases thereafter. Because you love the tequila, you love Cincoro,

1:17:50.640 --> 1:17:55.559
<v Speaker 10>and that's really important to us. It's about being super authentic. Actually,

1:17:55.800 --> 1:17:58.000
<v Speaker 10>there's a ring around the neck of our bottle that

1:17:58.080 --> 1:18:00.840
<v Speaker 10>says share truth, and that is our truth. It is

1:18:00.840 --> 1:18:05.639
<v Speaker 10>about being you know, authentic and true to our north star.

1:18:05.920 --> 1:18:10.120
<v Speaker 10>This delicious liquid. Your bottles alone are just stunning. There's

1:18:10.160 --> 1:18:12.880
<v Speaker 10>a whole story there too. What is the story? So

1:18:14.200 --> 1:18:16.439
<v Speaker 10>during that three year period where we're focused on making

1:18:16.439 --> 1:18:21.120
<v Speaker 10>the liquid, Michael called Mark Smith, who was the vice

1:18:21.160 --> 1:18:24.720
<v Speaker 10>president of Special Projects and Innovation at Nike at the

1:18:24.800 --> 1:18:28.840
<v Speaker 10>time and had done everything Jordan and Michael called Mark

1:18:28.880 --> 1:18:31.720
<v Speaker 10>Smith and asked him to create a designed tekuill a

1:18:31.720 --> 1:18:34.679
<v Speaker 10>bottle for him. And so the story is that Mark

1:18:34.800 --> 1:18:37.240
<v Speaker 10>said to Michael, close your eyes and describe what you

1:18:37.280 --> 1:18:41.679
<v Speaker 10>see using three words, and Michael said, sleek, contemporary, and unique,

1:18:41.720 --> 1:18:44.240
<v Speaker 10>And that was the brief for the bottle. And the

1:18:44.360 --> 1:18:46.200
<v Speaker 10>bottle like a piece of crystal or something like. You

1:18:46.240 --> 1:18:49.439
<v Speaker 10>could have a bottles stunning. It's it looks like a

1:18:49.479 --> 1:18:52.880
<v Speaker 10>trophy and if you feel the bottom of the bottle,

1:18:53.720 --> 1:18:57.679
<v Speaker 10>it actually slants twenty three degrees as a non Jay's

1:18:57.720 --> 1:19:01.200
<v Speaker 10>jersey number. The stopper slants down on twenty three degrees.

1:19:01.560 --> 1:19:04.519
<v Speaker 10>And then get this. If you take twenty three bottles

1:19:04.560 --> 1:19:07.920
<v Speaker 10>exactly and you line them up head to toe, they

1:19:07.960 --> 1:19:11.040
<v Speaker 10>form a perfect circle and the diameter of that circle

1:19:11.120 --> 1:19:13.439
<v Speaker 10>is the same as a tip off circle on an

1:19:13.520 --> 1:19:14.120
<v Speaker 10>NBA court.

1:19:14.320 --> 1:19:16.360
<v Speaker 6>Oh my god, it's a lot of thought went into that.

1:19:17.120 --> 1:19:17.719
<v Speaker 16>Oh my god.

1:19:18.520 --> 1:19:20.240
<v Speaker 6>One thing I want to take me back to because

1:19:20.240 --> 1:19:23.560
<v Speaker 6>you said with Michael Jordan that you sampled about a

1:19:23.640 --> 1:19:27.280
<v Speaker 6>thousand tequilas that process. Were you down in Mexico, because

1:19:27.320 --> 1:19:29.640
<v Speaker 6>we've did a lot of reporting on you know, kind

1:19:29.680 --> 1:19:32.280
<v Speaker 6>of where all the tequila comes from and talked about it.

1:19:32.439 --> 1:19:35.760
<v Speaker 10>Tell us about that process. Yeah, so I did go

1:19:35.800 --> 1:19:38.800
<v Speaker 10>down to Mexico a ton Wes and Wick joined me

1:19:38.880 --> 1:19:42.599
<v Speaker 10>on a few of those trips, and we actually started

1:19:42.640 --> 1:19:47.080
<v Speaker 10>with more than one distillery because we actually had them

1:19:47.120 --> 1:19:49.919
<v Speaker 10>compete and we wanted to really refine the taste profile.

1:19:49.960 --> 1:19:53.519
<v Speaker 10>And then we finally landed on one and we would

1:19:54.040 --> 1:19:56.519
<v Speaker 10>get samples, bring them back and we would meet as

1:19:56.560 --> 1:20:00.760
<v Speaker 10>a group and taste through a whole table of tequila.

1:20:01.320 --> 1:20:03.120
<v Speaker 6>Was there a lot of like debate and disagreement, like

1:20:03.160 --> 1:20:05.320
<v Speaker 6>as you went through the process. I'm just curious about that.

1:20:05.680 --> 1:20:08.559
<v Speaker 10>I think, you know, not really honestly, And that's been

1:20:08.600 --> 1:20:12.640
<v Speaker 10>an incredibly magical thing about my partners and I. We

1:20:12.640 --> 1:20:16.000
<v Speaker 10>we have been really aligned from day one. They're true

1:20:16.000 --> 1:20:19.880
<v Speaker 10>collaborators and incredible team players. But we did align on

1:20:19.920 --> 1:20:22.920
<v Speaker 10>the taste profile from the second. You know, from right

1:20:22.960 --> 1:20:23.360
<v Speaker 10>out of the.

1:20:23.320 --> 1:20:25.519
<v Speaker 3>Gate, what do you see as the market for this?

1:20:26.240 --> 1:20:26.360
<v Speaker 9>Who?

1:20:26.600 --> 1:20:27.160
<v Speaker 5>Who?

1:20:27.240 --> 1:20:29.680
<v Speaker 3>Who do you think wants it? Who has been buying it?

1:20:29.720 --> 1:20:30.400
<v Speaker 3>How do you grow it?

1:20:30.600 --> 1:20:30.800
<v Speaker 7>Yeap?

1:20:31.000 --> 1:20:33.920
<v Speaker 10>So the great thing about Cincoro is that the taste

1:20:33.920 --> 1:20:38.360
<v Speaker 10>profile is a very is appealing to a very wide audience.

1:20:39.280 --> 1:20:42.120
<v Speaker 10>We don't have that traditional Gabi burn. So if you

1:20:42.160 --> 1:20:45.200
<v Speaker 10>had that bad tequila experience, you love cincorro. If you

1:20:45.280 --> 1:20:48.000
<v Speaker 10>like whiskey, I've had that bad tequila, You're gonna love

1:20:48.000 --> 1:20:53.519
<v Speaker 10>Cincoro and college. The one word that everybody uses to

1:20:53.560 --> 1:20:57.880
<v Speaker 10>describe Cincoro is delicious. And so it's a high end tequila.

1:20:57.880 --> 1:21:01.000
<v Speaker 10>It's a high end sipping tequila. You know, we gravitate

1:21:01.080 --> 1:21:04.559
<v Speaker 10>towards the you know, more affluent consumer.

1:21:05.120 --> 1:21:09.760
<v Speaker 3>Is that more is the price point aligned with that? Yeah,

1:21:09.920 --> 1:21:13.719
<v Speaker 3>I've heard horror stories about liquor distribution, and I'm wondering

1:21:14.280 --> 1:21:17.439
<v Speaker 3>how competitive is how you make sure to get in

1:21:17.439 --> 1:21:19.960
<v Speaker 3>with the right I've talked to owners of local stores

1:21:20.000 --> 1:21:22.360
<v Speaker 3>who are like, I'm not allowed to carry this one

1:21:22.439 --> 1:21:26.800
<v Speaker 3>brand because my distributor is this distributor and carries this

1:21:26.840 --> 1:21:29.160
<v Speaker 3>one brand. Like it's a really tough it's really tough

1:21:29.160 --> 1:21:31.360
<v Speaker 3>for independence in some cases. How do you navigate that

1:21:32.200 --> 1:21:32.679
<v Speaker 3>hard work?

1:21:32.880 --> 1:21:36.839
<v Speaker 10>There's that's possible, well, one hundred percent, you know, you've.

1:21:36.640 --> 1:21:39.120
<v Speaker 3>Got to I mean, I've heard the words like cartel,

1:21:39.320 --> 1:21:41.200
<v Speaker 3>mafia like to describe.

1:21:40.680 --> 1:21:44.240
<v Speaker 10>The industry, right right, I think that it starts with

1:21:44.280 --> 1:21:47.320
<v Speaker 10>having an amazing product, and we want the product to

1:21:47.320 --> 1:21:51.160
<v Speaker 10>speak to for itself. And so there are difficult accounts,

1:21:51.240 --> 1:21:53.840
<v Speaker 10>and there are you know, it's a super competitive market

1:21:53.840 --> 1:21:57.439
<v Speaker 10>in the United States, but you grind through it, and

1:21:57.680 --> 1:21:59.720
<v Speaker 10>you know, we have a product that we are so

1:22:00.080 --> 1:22:03.040
<v Speaker 10>out of and that when people taste it, they are

1:22:03.080 --> 1:22:04.679
<v Speaker 10>so proud to have it on their backbar.

1:22:05.760 --> 1:22:09.120
<v Speaker 6>You know, sports, it's pretty amazing. Bloomberg spends so much

1:22:09.160 --> 1:22:12.200
<v Speaker 6>time on the business of sports, and it does feel

1:22:12.240 --> 1:22:16.280
<v Speaker 6>like investor interest, the value of teams. There's so much

1:22:16.280 --> 1:22:19.599
<v Speaker 6>interesting stuff going on. And my understanding is that your

1:22:19.640 --> 1:22:24.040
<v Speaker 6>husband's thinking of selling. Yeah, I mean, I know.

1:22:24.000 --> 1:22:25.880
<v Speaker 10>You put your way, but I.

1:22:25.840 --> 1:22:27.320
<v Speaker 3>Mean it's just interesting.

1:22:27.360 --> 1:22:29.800
<v Speaker 6>I don't know if there's anything about timing or you know,

1:22:30.120 --> 1:22:32.000
<v Speaker 6>owned it for a while and you just move on,

1:22:32.080 --> 1:22:33.280
<v Speaker 6>like like what is it?

1:22:33.400 --> 1:22:33.599
<v Speaker 4>Yeah?

1:22:33.720 --> 1:22:35.960
<v Speaker 10>No, well I think that's for Wick to talk about.

1:22:36.160 --> 1:22:40.360
<v Speaker 10>But you know it's he's got two families, a Celtics

1:22:40.360 --> 1:22:45.679
<v Speaker 10>family and his family, and his family's interested in selling.

1:22:45.760 --> 1:22:47.040
<v Speaker 10>So that's what's going on.

1:22:47.320 --> 1:22:48.040
<v Speaker 9>We find too.

1:22:48.080 --> 1:22:50.000
<v Speaker 6>We have a lot of guests, whether it comes to

1:22:50.040 --> 1:22:53.080
<v Speaker 6>the Spirits world, whether it comes to tequila, tell us

1:22:53.080 --> 1:22:55.000
<v Speaker 6>about because there's two options, tell us about the second

1:22:55.000 --> 1:22:55.720
<v Speaker 6>one that you brought us.

1:22:55.800 --> 1:22:58.600
<v Speaker 10>Yes, So the second one is our brand new Crystallino.

1:22:58.840 --> 1:23:04.360
<v Speaker 10>This is a limited addition. It's this beautiful platinum silver

1:23:04.479 --> 1:23:10.960
<v Speaker 10>bottle and this Crystallino is it's really actually a super

1:23:11.000 --> 1:23:16.240
<v Speaker 10>hot category for tequila right now. They're staying that the

1:23:16.320 --> 1:23:19.360
<v Speaker 10>category will be about six percent of the tequila market

1:23:19.360 --> 1:23:22.000
<v Speaker 10>by twenty twenty eight and it's a really key driver

1:23:22.080 --> 1:23:27.479
<v Speaker 10>of premisation. The liquid is our Nyeho liquid and it's

1:23:27.560 --> 1:23:32.599
<v Speaker 10>charcoal filtered to remove the color and it's absolutely delicious.

1:23:32.600 --> 1:23:35.320
<v Speaker 10>We just had our five year anniversary party where we

1:23:35.360 --> 1:23:39.720
<v Speaker 10>celebrated the launch of Crystallino and people tasted it for

1:23:39.760 --> 1:23:43.479
<v Speaker 10>the first time and absolutely loved it. So definitely try

1:23:43.520 --> 1:23:45.880
<v Speaker 10>to find a bottle because they're going to run out.

1:23:46.320 --> 1:23:48.880
<v Speaker 3>What are you thinking in terms of product growth and

1:23:48.920 --> 1:23:52.759
<v Speaker 3>product category growth? You obviously have these two different lines,

1:23:52.760 --> 1:23:53.360
<v Speaker 3>but how do you.

1:23:53.680 --> 1:23:56.360
<v Speaker 10>So this is a different yeah taste, It is a

1:23:56.360 --> 1:24:03.440
<v Speaker 10>different taste. So we actually have a Blanco a repisodo,

1:24:03.840 --> 1:24:08.599
<v Speaker 10>which is slightly less age than the Nyeh. We also

1:24:08.720 --> 1:24:12.000
<v Speaker 10>have an Extra and Yeh which is aged forty four

1:24:12.000 --> 1:24:14.160
<v Speaker 10>months and that's in a black crystal bottle and that's

1:24:14.160 --> 1:24:18.880
<v Speaker 10>really our halo expression. That's about seventeen hundred dollars a bottle.

1:24:18.920 --> 1:24:24.679
<v Speaker 10>It's Michael Jordan's favorite. And we have a Sincoro Gold

1:24:24.800 --> 1:24:29.799
<v Speaker 10>and it's in a gold metallic bottle. And that gold

1:24:30.000 --> 1:24:33.559
<v Speaker 10>is a combination of our Blanco Repo and a Yaho

1:24:33.720 --> 1:24:35.519
<v Speaker 10>and Extra and Ah. It has a ton of Extra

1:24:35.520 --> 1:24:38.920
<v Speaker 10>and Yaho in it. So, yes, we have a beautiful

1:24:38.960 --> 1:24:42.439
<v Speaker 10>portfolio of five expressions. This is our sixth. Then we're

1:24:42.439 --> 1:24:45.360
<v Speaker 10>doing some super exciting innovations next year.

1:24:45.760 --> 1:24:47.559
<v Speaker 6>So how much do you expand it? Because that's a

1:24:47.560 --> 1:24:49.880
<v Speaker 6>lot of choices already. When you think about the portfolio,

1:24:50.040 --> 1:24:51.439
<v Speaker 6>how do you think about where you want to go?

1:24:51.600 --> 1:24:54.880
<v Speaker 10>Yeah, so innovation is really in our DNA. We've been

1:24:54.880 --> 1:24:57.840
<v Speaker 10>innovating the brand since we launched. We've come out with

1:24:58.160 --> 1:25:02.360
<v Speaker 10>either interesting bottle or you know, for example, a limited

1:25:02.479 --> 1:25:06.760
<v Speaker 10>edition new expression. So where we're going next year is,

1:25:07.120 --> 1:25:09.600
<v Speaker 10>like I said, we're going to do three different innovations

1:25:10.360 --> 1:25:14.040
<v Speaker 10>to our collaboration with some super cool people. So I'll

1:25:14.040 --> 1:25:17.439
<v Speaker 10>be back to tell you about those. Yeah, and you

1:25:17.439 --> 1:25:19.519
<v Speaker 10>know that's how we're going to stay current and really

1:25:19.520 --> 1:25:20.040
<v Speaker 10>in the news.

1:25:20.200 --> 1:25:21.960
<v Speaker 6>How do you think about who you want to partner

1:25:21.960 --> 1:25:25.280
<v Speaker 6>in or partner with or bring in as additional business

1:25:25.360 --> 1:25:28.599
<v Speaker 6>partners on this, because it sounds like Michael Jordan has

1:25:28.640 --> 1:25:31.800
<v Speaker 6>a very specific vision. It sounds like you do as well, right,

1:25:31.920 --> 1:25:33.559
<v Speaker 6>So I'm just curious how you figure that out.

1:25:33.640 --> 1:25:33.840
<v Speaker 7>Yeah.

1:25:33.880 --> 1:25:36.520
<v Speaker 10>The first thing is you got to love it authentically

1:25:36.840 --> 1:25:41.280
<v Speaker 10>and just really live the brand and then really embody

1:25:41.360 --> 1:25:45.240
<v Speaker 10>the ethos of the brand, which is doing things right,

1:25:45.360 --> 1:25:47.920
<v Speaker 10>working hard, and striving for greatness.

1:25:48.400 --> 1:25:50.599
<v Speaker 6>What's the hardest part of this because I do think

1:25:51.000 --> 1:25:54.040
<v Speaker 6>you know, it's a crowded space, but it sounds like

1:25:54.080 --> 1:25:55.639
<v Speaker 6>you guys are trying to carve out a certain space.

1:25:55.680 --> 1:25:56.599
<v Speaker 6>What's the hardest part of.

1:25:56.560 --> 1:26:00.280
<v Speaker 10>This, it's you know, it's a long game. Yeah, this

1:26:00.400 --> 1:26:03.240
<v Speaker 10>is not the business is not something that you do.

1:26:03.560 --> 1:26:06.360
<v Speaker 10>It's not a quick in and out. We're in this

1:26:06.400 --> 1:26:10.759
<v Speaker 10>for the long term, you know, we really want what's

1:26:10.760 --> 1:26:15.800
<v Speaker 10>happening internationally is really exciting because I think in many

1:26:15.840 --> 1:26:17.679
<v Speaker 10>of these markets we're in the first or second inning

1:26:17.720 --> 1:26:19.599
<v Speaker 10>of the game, and so it's going to be really

1:26:19.640 --> 1:26:23.960
<v Speaker 10>exciting to watch it grow and have people have an appetite.

1:26:23.479 --> 1:26:26.519
<v Speaker 3>For this tough to import or once you figure it out,

1:26:26.520 --> 1:26:27.280
<v Speaker 3>you figured it out.

1:26:27.120 --> 1:26:30.240
<v Speaker 10>You figure it out. I mean, there's definitely teething pains

1:26:30.360 --> 1:26:33.519
<v Speaker 10>of doing all of that, and there's a lot of

1:26:34.080 --> 1:26:38.320
<v Speaker 10>legalities around the liquor business on a global scale, but

1:26:38.640 --> 1:26:40.240
<v Speaker 10>it's not insurmountable.

1:26:40.320 --> 1:26:43.519
<v Speaker 3>That was Amelia Fazalari, co founder and executive chairperson of

1:26:43.560 --> 1:26:45.960
<v Speaker 3>sin Quota a Tequila, And that wraps up the weekeet

1:26:46.040 --> 1:26:48.920
<v Speaker 3>edition of Bloomberg Business Week from Bloomberg Radio. Thanks so

1:26:49.000 --> 1:26:51.120
<v Speaker 3>much for joining us. Be sure to tune into Bloomberg

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