WEBVTT - Bloomberg Businessweek Weekend - June 16th, 2023

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>bloom oall business finance and tech news. The Bloomberg Business

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<v Speaker 1>Week podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Says, f.

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<v Speaker 3>Yes, indeed, we are living.

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<v Speaker 4>Instagra.

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<v Speaker 5>Good record.

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<v Speaker 6>I remember listening to this record on my very first

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<v Speaker 6>trip to Amsterdam.

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<v Speaker 3>Oh yeah, was anything involved?

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<v Speaker 5>No, well so I was nothing illegal there.

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<v Speaker 3>That's so true, nicely said. We are living in strange time,

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<v Speaker 3>strange days. This story we want to get to. It's

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<v Speaker 3>in the Bloomberg BusinessWeek newsletter and you can read it.

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<v Speaker 3>It's on the Bloomberg and of course at Bloomberg dot

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<v Speaker 3>com slash newsletters. It is written by Joshua Green. Josh Green,

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<v Speaker 3>National Coursepond at Bloomberg BusinessWeek, who's joining us right now

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<v Speaker 3>on the phone from Washington, d C. And Josh, we

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<v Speaker 3>want to get to it. Talk to us about.

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<v Speaker 5>What is going on.

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<v Speaker 3>Why are these people supporting the former president who hopes

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<v Speaker 3>to be president again.

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<v Speaker 7>Well, yeah, I was up in New Hampshire last week

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<v Speaker 7>and one of the running themes, you know, at the

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<v Speaker 7>various town halls and campaign stops for some of these

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<v Speaker 7>candidates was that they were all either extolling Donald Trump

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<v Speaker 7>or more likely attacking Joe Biden in the Justice Department

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<v Speaker 7>for you know, for going after Trump for indicting him.

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<v Speaker 7>And then of course at the scene in Miami where

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<v Speaker 7>Trump was arrested yesterday was full of not just Trump protesters,

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<v Speaker 7>but twenty twenty four presidential candidates or possible presidential candidates

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<v Speaker 7>who are against him, and yet we're there to support him.

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<v Speaker 7>So I wrote a little bit about the phenomenon of

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<v Speaker 7>what I've come to think of as maga Swifties. Instead

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<v Speaker 7>of being behaving like actual Republican political opponents trying to

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<v Speaker 7>seek the Goop nomination, they're acting like craved Taylor Swift fans,

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<v Speaker 7>fluffing up their hero and attacking his defenders. Have a

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<v Speaker 7>I have a sixteen year old happens to be one

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<v Speaker 7>of these Swifties, so I've I've studied the genotype.

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<v Speaker 3>But my twenty year old daughters here, who's a Swiftie.

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<v Speaker 3>She's going to be really embarrassed that I'm calling her

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<v Speaker 3>out here. But yeah, totally get it when you.

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<v Speaker 7>Make that aware.

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<v Speaker 6>They're everywhere I just don't understandami. He's he's a little

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<v Speaker 6>bit older. You know, he went to Harvard and then

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<v Speaker 6>Yale Law School, So it's not like he completely lacks

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<v Speaker 6>critical thinking skills or is totally ignorant. Why is he

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<v Speaker 6>down here about in Miami, just like on his knee

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<v Speaker 6>kissing up to former President Trump? Does he want to

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<v Speaker 6>be on the ticket? Is there a romantic link we

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<v Speaker 6>don't know about, Like, what's the deal? Joe Webber, by

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<v Speaker 6>the ways, a great question.

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<v Speaker 7>With the Veke who I saw in New Hampshire last week,

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<v Speaker 7>he makes a point of mentioning that he is the

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<v Speaker 7>only millennial Republican running for president. That might have something

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<v Speaker 7>to do with the swift.

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<v Speaker 5>Bragging about being a millennial.

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<v Speaker 7>I think more likely is that these candidates are all

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<v Speaker 7>looking at polls of who votes in Republican primaries, and

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<v Speaker 7>we've seen a bunch of them since the indictment came out.

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<v Speaker 7>And what Republican voters think is that Donald Trump got screwed,

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<v Speaker 7>that the indictment is political. They don't like it. It's

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<v Speaker 7>made Trump more popular, not less popular, and they're very,

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<v Speaker 7>very angry at anybody who criticizes Trump over the indictment.

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<v Speaker 7>And so I think a lot of these candidates who've

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<v Speaker 7>been releasing supportive statements, or as the Vake did in Miami,

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<v Speaker 7>mayor Francisco Suarez, who's rumored to baby beginning in the race,

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<v Speaker 7>actually showed up to support Trump again, their opponent in

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<v Speaker 7>the race. I think the way they're doing this is

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<v Speaker 7>because they decided it's a way to get attention. It's

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<v Speaker 7>a way to sort of like demonstrate their bona fides

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<v Speaker 7>to Republican primary voters. But the problem in talking to

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<v Speaker 7>Republican strategists, and I talked to Trump's old strategist Steve

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<v Speaker 7>Bannon in this piece, is that if you're trying to

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<v Speaker 7>run against Trump, ultimately, you need to have a strategy

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<v Speaker 7>to beat it and going out there and saying what

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<v Speaker 7>a great guy he is and have terrible his tormentors

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<v Speaker 7>that the Justice Department are isn't doing anything to bring

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<v Speaker 7>down Donald Trump. So Bannon told me for the piece

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<v Speaker 7>he thinks the primary is already over and Trump's going

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<v Speaker 7>to be the nominate. But it is a really bizarre

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<v Speaker 7>kind of collective behavior that we see among these Republican candidates.

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<v Speaker 7>Because while it may get them TV time, and while

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<v Speaker 7>it may get them, you know, social media buzz or

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<v Speaker 7>what have you, it's not getting them any closer to Trump.

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<v Speaker 7>And the polls, who now has the biggest lead he's

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<v Speaker 7>ever had in the twenty twenty four primary polls. You know,

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<v Speaker 7>these guys are all falling further behind instead of catching

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<v Speaker 7>up to him.

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<v Speaker 8>But what if he can't run right? What if? What

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<v Speaker 8>if he's actually not available, not on the playing field,

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<v Speaker 8>and I'm allowed? And then and then I think the

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<v Speaker 8>vex move becomes a little bit more clear, which is

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<v Speaker 8>I'm the closest, most sympathetic guy that you have to

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<v Speaker 8>that you have and I you know, basically in spirit,

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<v Speaker 8>I am maga incarnate yet as a millennial.

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<v Speaker 3>At your back.

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<v Speaker 7>So I did a lot of calling around about that,

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<v Speaker 7>talk to lawyers, talk to Republican strategists, talk to voters

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<v Speaker 7>at these town halls in New Hampshire, and basically, you know,

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<v Speaker 7>if it doesn't seem like the legal system is going

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<v Speaker 7>to move quickly enough to hypothetically convict Trump before people

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<v Speaker 7>start voting. But you know, he could get hit by lightning.

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<v Speaker 7>He could, you know, I don't know, decide he'd rather

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<v Speaker 7>spend his days on the golf course. I don't think

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<v Speaker 7>anything is going to happen, but certainly it's possible that

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<v Speaker 7>if you were somehow sidelined willingly or otherwise, then the

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<v Speaker 7>field is ride open, and being the kind of you

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<v Speaker 7>know Trump he also ran, becomes an actual emblem that

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<v Speaker 7>could help you. In one of these new polls from CB,

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<v Speaker 7>three quarters of Republican primary voters stead of Trump can't

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<v Speaker 7>be president, they want somebody just like Trump. So all

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<v Speaker 7>these guys are sort of scrambling role. I'm old enough

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<v Speaker 7>to remember back in twenty sixteen when every candidate in

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<v Speaker 7>the race wouldn't attacked Trump because they thought, oh, well,

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<v Speaker 7>somehow he's going to get sidelined or his voters would

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<v Speaker 7>just magically change their minds and lo and behold. That

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<v Speaker 7>never happened, and it still hasn't happened. So I don't

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<v Speaker 7>put a lot of stock in the kind of praying

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<v Speaker 7>and hoping that he just bows out strategy, but that

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<v Speaker 7>is that is what most Republican candidates seem to be

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<v Speaker 7>doing at this point.

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<v Speaker 8>Can we talk about the Nikki Haley approached a little bit,

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<v Speaker 8>because I thought that one was an interesting one. What

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<v Speaker 8>did she do?

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<v Speaker 7>Yes, you know, Nicky Haley is sort of the Republican

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<v Speaker 7>hamlet to cycle. When the indictment was first announced, she

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<v Speaker 7>came out in the press and said it was terribly

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<v Speaker 7>reckless to have done stuff like kept you know, classified

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<v Speaker 7>nuclear documents in the mar Lago bathroom. But she got

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<v Speaker 7>attacked so much that she she then pivoted yesterday and

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<v Speaker 7>came out and said no, actually she was inclined to

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<v Speaker 7>savor pardoning Trump if she were elected president. So she's

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<v Speaker 7>managed to be on both sides of this issue. You know,

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<v Speaker 7>she was she was four indicting him. I guess before

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<v Speaker 7>she was against it.

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<v Speaker 6>That was back when it was the party of law

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<v Speaker 6>and order. They've decided they don't care about law and

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<v Speaker 6>order anymore. By the way, can we well, can we stop.

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<v Speaker 7>Only as far as it applies to Democrats. There was

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<v Speaker 7>a lot you know, you ask about the Trump indictment,

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<v Speaker 7>and you know, nine times out of ten the answer

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<v Speaker 7>comes up being, well, why haven't they indicted Joe Biden

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<v Speaker 7>or Hunter Biden? Which may, by the way, but but

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<v Speaker 7>there's they're only the candidate of law. They're only the

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<v Speaker 7>part of law and order in so far as it

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<v Speaker 7>pertains Democrats, And I think for most Democrats that goes

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<v Speaker 7>the other way to everybody's very interested in seeing Trump indicted.

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<v Speaker 7>You know, not a lot of clamoring among the Democrats,

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<v Speaker 7>I know to indict Hunter Hunter Biden.

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<v Speaker 5>Well, that's not terribly unlikely, let's be honest, But I

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<v Speaker 5>think we should. I think we should.

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<v Speaker 6>We focused too much on he kept classified occupants in

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<v Speaker 6>the bathroom, which doesn't matter because Biden kept classified documents

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<v Speaker 6>in the garage next to his gorgeous nineteen sixty seven corvette.

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<v Speaker 6>But the problem is the obstruction Yeah, the problem is

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<v Speaker 6>the obstruction charge, right, And is anybody in the Republican

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<v Speaker 6>Party obtuse enough to see beyond the irony of Donald

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<v Speaker 6>Trump chanting or leading a chance of lock her up

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<v Speaker 6>against Hillary Clinton? I mean, how do you These people

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<v Speaker 6>went to Harvard and Yale. DeSantis and Vivek both went

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<v Speaker 6>to both of those Ivy League institutions.

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<v Speaker 5>Are they just they can't be just dumb.

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<v Speaker 7>No, I don't think any of them are dumb. I

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<v Speaker 7>think they're looking at the polls and reacting accordingly. And

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<v Speaker 7>there is one candidate in the race, so I spent

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<v Speaker 7>time with in New Hampshire when he made his announcement

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<v Speaker 7>last weekend. Who isn't going along with us who's been

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<v Speaker 7>very critical of Donald Trump, and that's Chris Christi, the

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<v Speaker 7>former New Jersey governor. The problem, though, is, we see

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<v Speaker 7>in one of these new polls, is that Republican voters

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<v Speaker 7>don't want to hear Trump criticize Christy. As I wrote

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<v Speaker 7>for Business Week last week, is very unpopular, not only

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<v Speaker 7>among Republicans who like Trump, but even among Republicans who

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<v Speaker 7>don't like Trump. And this new poll shows for Morning

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<v Speaker 7>consult that Christie's favorability rating has actually fallen from thirty

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<v Speaker 7>five percent down to twenty five percent since he got

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<v Speaker 7>into the race last week. So the strategy of criticizing

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<v Speaker 7>Trump doesn't seem to be helping Christie get ahead. But

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<v Speaker 7>that being said, look, if any of these guys want

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<v Speaker 7>to actually be the Republican nominee in twenty twenty four,

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<v Speaker 7>and I'm less and less convinced that they actually do,

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<v Speaker 7>they're going to have to figure out a way to

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<v Speaker 7>lower Trump's favorability ratings with Republican voters or they're simply

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<v Speaker 7>going to lose the GFP primary race and a blow.

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<v Speaker 7>And that seems to be happening right now, which is

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<v Speaker 7>why I do think that Canada like Vivek round Swami

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<v Speaker 7>and maybe even Nikki Haley, whether or not they realize it,

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<v Speaker 7>are really running for vice president, because that seems to

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<v Speaker 7>be the only open spot this one. Trump, looking at

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<v Speaker 7>the poll numbers, at least at this point, it seems

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<v Speaker 7>to have the nomination all but wrapped up.

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<v Speaker 3>And then there is the former vice president Mike Pence,

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<v Speaker 3>who apparently said he cannot defend what is alleged in

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<v Speaker 3>the most recent indictment against former President Donald Trump. I'm

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<v Speaker 3>reading ABC News as a story. I guess. He did

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<v Speaker 3>some interviews with other networks, but he talked about reading

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<v Speaker 3>the full indictment. But he also is saying I'm going

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<v Speaker 3>to wait until basically after he's had his day in court.

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<v Speaker 6>He also was clearly afraid to really speak out right, Josh.

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<v Speaker 6>I mean, this is a guy the former president sent

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<v Speaker 6>an angry mob to essentially kill him, and he's never

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<v Speaker 6>really said anything that bad about Donald Trump.

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<v Speaker 5>But he's still saying I can't believe that politics.

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<v Speaker 7>His campaign released a pretty tough kind of video ad,

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<v Speaker 7>but Pence himself has more or less been kind of

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<v Speaker 7>whimpering in the corner, you know, hoping this all goes away.

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<v Speaker 7>Nobody I can find in Republican politics who isn't on

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<v Speaker 7>Mike Pence's payroll or the payroll of his super pack

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<v Speaker 7>can figure out why he's running for president, because it

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<v Speaker 7>really does not seem to be any constituency at all

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<v Speaker 7>that either respects him or is longing for him to

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<v Speaker 7>be Indiana the White House, his unfavorability ratings are almost

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<v Speaker 7>as high as Chris Christie's, and that's really saying something.

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<v Speaker 7>So again, it's the strategy of kind of wanting to

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<v Speaker 7>have it both ways, of not really wanting to attack

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<v Speaker 7>or engage Trump and just hoping that somehow, by a

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<v Speaker 7>stroke of magic, Trump disappears and voters crown either Pence

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<v Speaker 7>or Hayley or one of these also want to be

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<v Speaker 7>candidates in his place, and they kind of wind up

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<v Speaker 7>with a nomination that way, because as we've seen throughout

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<v Speaker 7>the indictment drama, Trump really isn't getting any pushback from

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<v Speaker 7>the candidates that are running against them, and so voters

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<v Speaker 7>don't seem to be under any pressure or have any

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<v Speaker 7>interest in considering anyone but Donald Trump. And that is

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<v Speaker 7>a recipe for Trump becoming the next nominee, whether or

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<v Speaker 7>not he's indicted. A third or a fourth time, no

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<v Speaker 7>matter what happens.

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<v Speaker 8>But Matt, do you really think Pence could not not

0:12:03.520 --> 0:12:06.280
<v Speaker 8>run like he kind of has to run even if

0:12:06.440 --> 0:12:08.600
<v Speaker 8>I mean, I mean, you've got to put your foot out.

0:12:08.760 --> 0:12:11.760
<v Speaker 6>I feel like Pence would have had a great shot

0:12:11.960 --> 0:12:16.120
<v Speaker 6>at this had he immediately come out against his former

0:12:16.200 --> 0:12:18.400
<v Speaker 6>boss and said, you know what, it doesn't work that

0:12:18.440 --> 0:12:21.720
<v Speaker 6>way in America. You know, we don't attempt to overthrow Congress.

0:12:21.960 --> 0:12:24.920
<v Speaker 6>We don't attempt to overturn an election. This is a democracy,

0:12:24.920 --> 0:12:28.079
<v Speaker 6>and we're strong. If he had flexed at that point,

0:12:28.760 --> 0:12:30.000
<v Speaker 6>it would have been awesome.

0:12:30.400 --> 0:12:32.360
<v Speaker 3>I want to go back to you, Josh, because you

0:12:32.400 --> 0:12:35.120
<v Speaker 3>wrote the book Devil's Bargain Steve Bannon, Donald Trump and

0:12:35.160 --> 0:12:38.120
<v Speaker 3>the storming of the presidency. Really just you were there

0:12:38.120 --> 0:12:41.400
<v Speaker 3>at the get go, at the beginning, watching Trump and

0:12:41.520 --> 0:12:43.720
<v Speaker 3>his you know, his winning of the White House that

0:12:43.840 --> 0:12:46.600
<v Speaker 3>first go round and the rise of the alt right.

0:12:47.000 --> 0:12:49.840
<v Speaker 3>Having said that, what you were seeing at this time

0:12:49.880 --> 0:12:53.760
<v Speaker 3>in place, do you see that indeed it's going to

0:12:53.800 --> 0:12:57.319
<v Speaker 3>be trumped, depending on the legal cases play out a

0:12:57.360 --> 0:13:00.199
<v Speaker 3>little bit, that he will be the Republican nomination. We're

0:13:00.240 --> 0:13:03.280
<v Speaker 3>looking at the potential of Trump getting back to the

0:13:03.280 --> 0:13:03.800
<v Speaker 3>White House.

0:13:04.200 --> 0:13:06.520
<v Speaker 7>There's no real reason I can see, based on what's

0:13:06.520 --> 0:13:09.800
<v Speaker 7>happening in Republican politics right now, to think that Trump

0:13:09.880 --> 0:13:13.479
<v Speaker 7>is not going to be the nominee. Like obvious caveats,

0:13:13.520 --> 0:13:15.319
<v Speaker 7>you know, he could drop de of a heart attack,

0:13:15.440 --> 0:13:18.520
<v Speaker 7>he could somehow change his mind, the Earth could get

0:13:18.559 --> 0:13:21.880
<v Speaker 7>hit by a meteor. But barring something like that, if

0:13:21.880 --> 0:13:25.480
<v Speaker 7>you look at Republican voter sentiment, it's hugely favorable toward

0:13:25.520 --> 0:13:28.840
<v Speaker 7>Donald Trump. In a new CBS News poll, Trump is

0:13:28.920 --> 0:13:33.160
<v Speaker 7>leading his closest opponent, Rond De Santis by more than

0:13:33.160 --> 0:13:36.920
<v Speaker 7>a three to one margin. Every time he gets indicted,

0:13:37.000 --> 0:13:41.920
<v Speaker 7>his favorable numbers with Republican voters tick up. The one

0:13:41.960 --> 0:13:43.959
<v Speaker 7>thing that Trump needs to worry about is that is

0:13:44.760 --> 0:13:48.640
<v Speaker 7>popular with Republicans has grown, and as he's been indicted,

0:13:48.760 --> 0:13:51.920
<v Speaker 7>you know, more and more times, he's become less popular

0:13:51.960 --> 0:13:54.559
<v Speaker 7>with non Republicans. As far as Trump getting back to

0:13:54.600 --> 0:13:57.600
<v Speaker 7>the White House, I think that's a pretty big hurdle.

0:13:57.679 --> 0:14:00.720
<v Speaker 7>But Trump winning the nomination at this point seems far

0:14:00.760 --> 0:14:04.440
<v Speaker 7>more likely than not. And especially when you see things

0:14:04.440 --> 0:14:06.640
<v Speaker 7>like we saw in Miami, with all the sponents going

0:14:06.640 --> 0:14:09.640
<v Speaker 7>down there to defend him, it's harder and harder to

0:14:09.640 --> 0:14:11.719
<v Speaker 7>see him. Okay, losing to one of them?

0:14:11.760 --> 0:14:13.680
<v Speaker 3>All right, we got to run great stuff as always.

0:14:13.720 --> 0:14:16.520
<v Speaker 3>Josh Green, National correspond at Bloomberg Business Week, Joe Weber

0:14:16.559 --> 0:14:19.400
<v Speaker 3>at the editor of Bloomberg BusinessWeek. Find this at Bloomberg

0:14:19.400 --> 0:14:21.800
<v Speaker 3>dot com slash newsletters. This is Bloomberg.

0:14:22.400 --> 0:14:26.000
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:14:26.000 --> 0:14:29.680
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:14:29.880 --> 0:14:32.760
<v Speaker 1>the Bloomberg Business App, and you too. You can also

0:14:32.880 --> 0:14:36.880
<v Speaker 1>listen live to our flagship New York station. Just say Alexa,

0:14:37.000 --> 0:14:38.960
<v Speaker 1>play Bloomberg. You love them thirty.

0:14:40.320 --> 0:14:43.720
<v Speaker 3>Bloomberg New Senior financial reporter Shrinanarajen here with Matt and

0:14:43.760 --> 0:14:46.280
<v Speaker 3>myself in our Bloomberg Interactive Bookers studio. Were you a

0:14:46.280 --> 0:14:48.600
<v Speaker 3>little fraid to walk in because Matt was a little heated?

0:14:48.880 --> 0:14:49.360
<v Speaker 2>Of course.

0:14:50.240 --> 0:14:54.120
<v Speaker 9>I've never seen anyone more excited about inflation than him.

0:14:54.200 --> 0:14:57.280
<v Speaker 3>This is why we love Maddie's enthusiasm over all things,

0:14:57.280 --> 0:15:01.160
<v Speaker 3>including FED meetings. FED meetings are fun. Also fun is

0:15:01.280 --> 0:15:07.680
<v Speaker 3>watching firms navigate politics and kind of the global financial

0:15:07.720 --> 0:15:10.080
<v Speaker 3>world and where business will be and where they need

0:15:10.120 --> 0:15:12.920
<v Speaker 3>to focus their efforts. Talk us a little bit about

0:15:12.960 --> 0:15:15.600
<v Speaker 3>gold Band and what they're doing in India. And you

0:15:15.680 --> 0:15:18.920
<v Speaker 3>know this country right well born there, family there.

0:15:19.000 --> 0:15:19.600
<v Speaker 5>Grew up there.

0:15:19.680 --> 0:15:21.680
<v Speaker 9>Yes, I did know the country a little bit. It

0:15:21.760 --> 0:15:26.240
<v Speaker 9>is fascinating the story and it is a mustreat. It

0:15:26.320 --> 0:15:28.200
<v Speaker 9>is a window into Goldman in the fact that their

0:15:28.200 --> 0:15:31.240
<v Speaker 9>biggest office outside of New York, their headquarters, happens to

0:15:31.280 --> 0:15:34.200
<v Speaker 9>be in India and Bangalore. But equally it is a

0:15:34.240 --> 0:15:38.560
<v Speaker 9>story about how India has become a attractive center for

0:15:38.640 --> 0:15:41.040
<v Speaker 9>a large number of firms. Goldman might have eight thousand

0:15:41.080 --> 0:15:44.360
<v Speaker 9>of it's roughly forty five thousand people there. JP Morgan

0:15:44.400 --> 0:15:47.280
<v Speaker 9>has about fifty thousand people there, fifty thousand of about

0:15:47.520 --> 0:15:50.840
<v Speaker 9>three hundred thousand. These are what they call these global

0:15:51.000 --> 0:15:53.640
<v Speaker 9>capability centers, and so like when you.

0:15:53.600 --> 0:15:55.760
<v Speaker 3>Call in like write a lot of the back office.

0:15:56.320 --> 0:15:58.840
<v Speaker 9>That used to be the case. When you go back

0:15:58.840 --> 0:16:00.560
<v Speaker 9>to the nineties, when you go back to the early

0:16:00.600 --> 0:16:02.720
<v Speaker 9>two thousands, you will think about India. You will think

0:16:02.720 --> 0:16:06.080
<v Speaker 9>about back office jobs. You will think about your you know,

0:16:06.200 --> 0:16:09.320
<v Speaker 9>customer care centers, that's where most of your calls were

0:16:09.360 --> 0:16:13.200
<v Speaker 9>getting answered. Then that was the stereotype associated with India

0:16:13.200 --> 0:16:15.200
<v Speaker 9>about the kind of jobs. But what the story does

0:16:15.200 --> 0:16:18.280
<v Speaker 9>a good job of explaining to us is how that

0:16:18.320 --> 0:16:22.200
<v Speaker 9>has changed. It's not purely back office anymore. It's not

0:16:22.360 --> 0:16:25.040
<v Speaker 9>just that companies are sitting around and saying, how can

0:16:25.080 --> 0:16:28.560
<v Speaker 9>we lower costs? It has evolved into something more than that.

0:16:28.800 --> 0:16:31.280
<v Speaker 9>We have Goldments, the head of India, the India business

0:16:31.320 --> 0:16:34.560
<v Speaker 9>at Goldman Sachs talking about how they have a number

0:16:34.560 --> 0:16:38.760
<v Speaker 9>of software engineers there now building and writing code for

0:16:38.920 --> 0:16:42.000
<v Speaker 9>their trading platforms that quant firms here can use for

0:16:42.080 --> 0:16:45.760
<v Speaker 9>their commodities analytics business. That is not back office by

0:16:46.960 --> 0:16:47.720
<v Speaker 9>To me, it's a.

0:16:47.640 --> 0:16:52.040
<v Speaker 6>No brainer, right if I look at the landscape in India,

0:16:52.080 --> 0:16:56.200
<v Speaker 6>the universities, the educational system is so strong that you know,

0:16:56.920 --> 0:17:00.400
<v Speaker 6>we see obviously some of our smartest analysts here Bloomberg

0:17:00.440 --> 0:17:02.120
<v Speaker 6>Intelligence are from India.

0:17:02.240 --> 0:17:02.400
<v Speaker 10>Right.

0:17:02.440 --> 0:17:04.760
<v Speaker 6>You look across the banking landscape, You've got some of

0:17:04.800 --> 0:17:06.640
<v Speaker 6>the big CEOs.

0:17:06.160 --> 0:17:07.159
<v Speaker 5>Are from India, you know.

0:17:07.359 --> 0:17:09.879
<v Speaker 6>To me, when I read this story, a light switch

0:17:10.520 --> 0:17:14.240
<v Speaker 6>was flipped, like, oh, obviously you can hire pms, You

0:17:14.240 --> 0:17:17.520
<v Speaker 6>can hire business heads there and you don't have to

0:17:17.560 --> 0:17:20.040
<v Speaker 6>pay them, you know, ten million dollars a year. I

0:17:20.040 --> 0:17:22.480
<v Speaker 6>would move a lot of my business to India.

0:17:22.119 --> 0:17:25.600
<v Speaker 9>And move away from the banking landscape, and think about

0:17:25.600 --> 0:17:28.960
<v Speaker 9>the tech landscape, Google, Microsoft, IBM, all of these places,

0:17:29.480 --> 0:17:32.359
<v Speaker 9>a lot of their CEOs right now are products of

0:17:32.359 --> 0:17:35.359
<v Speaker 9>the Indian educational system. And that's why it's important to

0:17:35.400 --> 0:17:38.440
<v Speaker 9>sort of break down why it's so attractive. Right there

0:17:38.480 --> 0:17:42.919
<v Speaker 9>is this vast pool of young talent. India just became

0:17:43.040 --> 0:17:47.520
<v Speaker 9>the most populous country on Earth, just overtaking China. Yet

0:17:47.560 --> 0:17:50.240
<v Speaker 9>the median age here and that is why this phrase

0:17:50.280 --> 0:17:53.960
<v Speaker 9>has been associated with India for long, the demographic dividend,

0:17:54.320 --> 0:17:58.080
<v Speaker 9>the median age. There's twenty eight in the US and China.

0:17:58.119 --> 0:18:00.840
<v Speaker 9>That's thirty eight, Danias. Doesn't seem like a lot, but

0:18:01.040 --> 0:18:04.800
<v Speaker 9>it is a lot. Yeah, twenty eight years old is

0:18:04.840 --> 0:18:06.919
<v Speaker 9>sort of your average person in India.

0:18:07.000 --> 0:18:09.120
<v Speaker 6>What I would give to be twenty eight, You could

0:18:09.119 --> 0:18:11.199
<v Speaker 6>take my left arm if I can be twenty eight.

0:18:11.400 --> 0:18:13.639
<v Speaker 9>We can easily rewind five years age if that's all

0:18:13.680 --> 0:18:15.240
<v Speaker 9>you want.

0:18:15.000 --> 0:18:16.000
<v Speaker 2>But not just that.

0:18:16.040 --> 0:18:19.920
<v Speaker 9>There's an educational system that has this focus on science

0:18:20.000 --> 0:18:23.280
<v Speaker 9>and technology. Right that again becomes a big thing in

0:18:23.320 --> 0:18:26.840
<v Speaker 9>an attractive, attractive quality for a lot of these companies

0:18:26.840 --> 0:18:29.840
<v Speaker 9>trying to set up these centers, and the most important thing,

0:18:30.880 --> 0:18:35.639
<v Speaker 9>the unforeseen catalyst what happened with the pandemic. You learned

0:18:35.760 --> 0:18:40.000
<v Speaker 9>that you could have your workers and your staff in

0:18:40.200 --> 0:18:44.080
<v Speaker 9>distributed locations, in remote locations, and still do it seamlessly.

0:18:44.720 --> 0:18:47.560
<v Speaker 9>Of course, that was a very dire example, and people

0:18:47.640 --> 0:18:50.200
<v Speaker 9>working from their bedrooms and their living rooms and trying

0:18:50.200 --> 0:18:52.520
<v Speaker 9>to get work done. And we were able to do that.

0:18:52.840 --> 0:18:56.600
<v Speaker 9>Here you're talking about fully constructed, state of the art

0:18:56.600 --> 0:19:00.639
<v Speaker 9>buildings with all the relevant technology that's needed. It just

0:19:00.760 --> 0:19:04.199
<v Speaker 9>happens to be twelve thousand miles away that works, and

0:19:04.280 --> 0:19:06.960
<v Speaker 9>companies are convinced that can happen. Of course, it's not

0:19:07.160 --> 0:19:10.359
<v Speaker 9>all a plus. There are questions about the employability of

0:19:10.400 --> 0:19:13.760
<v Speaker 9>many people who come through the booming education system. They

0:19:13.800 --> 0:19:15.280
<v Speaker 9>have to make sure that a lot of time is

0:19:15.280 --> 0:19:18.399
<v Speaker 9>spent on training. And I actually remember that around the pandemic.

0:19:18.640 --> 0:19:21.439
<v Speaker 9>There was a phase when the pandemic struck the US

0:19:21.520 --> 0:19:24.200
<v Speaker 9>that was March twenty twenty, and that's when we saw

0:19:24.200 --> 0:19:26.879
<v Speaker 9>most of the impacts. But the peak pandemic impacts in

0:19:26.880 --> 0:19:28.880
<v Speaker 9>a place like India was felt about a year later,

0:19:29.240 --> 0:19:32.200
<v Speaker 9>and when you saw these national lockdowns. I remember having

0:19:32.280 --> 0:19:35.760
<v Speaker 9>conversations with Goldman executives who were suddenly thinking we have

0:19:35.880 --> 0:19:39.520
<v Speaker 9>moved a lot of our risk functions and some of

0:19:39.520 --> 0:19:42.640
<v Speaker 9>the other critical operational functions to places like India. When

0:19:42.680 --> 0:19:45.720
<v Speaker 9>suddenly the entire office is locked out, they had a

0:19:45.720 --> 0:19:47.880
<v Speaker 9>moment of panic and they had to be sure, wait,

0:19:47.960 --> 0:19:50.760
<v Speaker 9>are we too reliant on India. Of course it didn't

0:19:50.760 --> 0:19:53.200
<v Speaker 9>cause any problems in the end, but it certainly sparked

0:19:53.240 --> 0:19:54.400
<v Speaker 9>that conversation for them.

0:19:54.600 --> 0:19:57.520
<v Speaker 3>Shri and I think about like China and what it

0:19:57.600 --> 0:20:01.280
<v Speaker 3>developed into in terms of supporting the world, right versus

0:20:01.280 --> 0:20:05.440
<v Speaker 3>what India is. I mean, it's really a very different story, right.

0:20:05.600 --> 0:20:08.560
<v Speaker 3>This is these are highly educated workers that are becoming

0:20:08.560 --> 0:20:11.480
<v Speaker 3>increasingly a really significant part of the global economy.

0:20:11.600 --> 0:20:15.320
<v Speaker 9>China became a manufacturing powerhouse. It became the factory of

0:20:15.359 --> 0:20:19.880
<v Speaker 9>the world. Looking at how this Indian ecosystem is developing,

0:20:19.920 --> 0:20:23.440
<v Speaker 9>you're seeing more of a services exports system here, right,

0:20:23.480 --> 0:20:25.639
<v Speaker 9>And that is what it is turning to. It is

0:20:25.800 --> 0:20:29.040
<v Speaker 9>using the demographic dividend to its advantage. It is using

0:20:29.080 --> 0:20:32.199
<v Speaker 9>its existent education system and the focus on science and

0:20:32.200 --> 0:20:34.520
<v Speaker 9>technology or even the STEM fields if you may, to

0:20:34.720 --> 0:20:37.040
<v Speaker 9>attract a lot of these companies and they're seeing the

0:20:37.080 --> 0:20:40.399
<v Speaker 9>benefit in that. Goldman just Operate opened a second Global

0:20:40.440 --> 0:20:45.200
<v Speaker 9>Capability Center India in Hyderabad because there is an infrastructure challenge.

0:20:45.240 --> 0:20:48.479
<v Speaker 9>If all the big companies are flocking to the same city,

0:20:48.720 --> 0:20:51.720
<v Speaker 9>it will cause problems. And anyone who's seen Bangalore realizes

0:20:51.760 --> 0:20:54.080
<v Speaker 9>there are problems. So other cities are developing, So there

0:20:54.080 --> 0:20:54.920
<v Speaker 9>are alternatives.

0:20:55.119 --> 0:20:59.440
<v Speaker 6>What I wanted to ask, what is I know many

0:20:59.520 --> 0:21:02.119
<v Speaker 6>Indians students actually end up at Harvard as well, but

0:21:02.160 --> 0:21:04.120
<v Speaker 6>what is the Harvard of India?

0:21:05.840 --> 0:21:10.280
<v Speaker 9>I believe how we call it the Harvard University for instance,

0:21:10.440 --> 0:21:12.160
<v Speaker 9>is the I of the United States?

0:21:12.680 --> 0:21:12.840
<v Speaker 11>Oh?

0:21:12.960 --> 0:21:14.800
<v Speaker 5>I see, I love the way he did that he

0:21:14.880 --> 0:21:15.480
<v Speaker 5>turned around.

0:21:15.560 --> 0:21:17.280
<v Speaker 3>Ah, that is very interesting.

0:21:18.880 --> 0:21:19.760
<v Speaker 5>It's god.

0:21:19.920 --> 0:21:21.600
<v Speaker 3>You know what I wanted to quickly. We only got

0:21:21.600 --> 0:21:23.800
<v Speaker 3>thirty thirty five seconds. So when you see the headlines

0:21:23.800 --> 0:21:27.800
<v Speaker 3>about Tim Cook and Apple and India, are they behind

0:21:27.920 --> 0:21:29.960
<v Speaker 3>what the financial firms have been doing, because it sounds

0:21:30.000 --> 0:21:32.440
<v Speaker 3>like they've been entrenched on a much more sophisticated level

0:21:32.720 --> 0:21:33.720
<v Speaker 3>in India for a while.

0:21:33.920 --> 0:21:36.320
<v Speaker 9>No, remember the Apple headlines and the Tim Cook in

0:21:36.320 --> 0:21:39.200
<v Speaker 9>India headlines recently were more about Apple opening a retail store.

0:21:39.280 --> 0:21:41.400
<v Speaker 9>And as a completely different side of the question there,

0:21:41.440 --> 0:21:43.840
<v Speaker 9>you realize that when you have one point to build

0:21:43.880 --> 0:21:47.040
<v Speaker 9>in people and a very fast growing middle class and

0:21:47.440 --> 0:21:51.280
<v Speaker 9>that still translates to a pretty significant number. You have

0:21:51.480 --> 0:21:54.880
<v Speaker 9>a consumer market that is approachable in ways you did

0:21:54.880 --> 0:21:57.760
<v Speaker 9>not think possible many years ago. It is a growing market.

0:21:58.080 --> 0:22:00.560
<v Speaker 9>Even with big investing firms, they would look at India

0:22:00.560 --> 0:22:04.640
<v Speaker 9>as the good with the growing Dennis markets, the possibility

0:22:04.640 --> 0:22:06.400
<v Speaker 9>to find investing opportunities there.

0:22:06.400 --> 0:22:09.639
<v Speaker 3>Group so glad to jump in and see mattx craziness

0:22:09.680 --> 0:22:17.720
<v Speaker 3>and then do this story. Shrinata Rojan, thank you.

0:22:17.720 --> 0:22:21.280
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:22:21.320 --> 0:22:25.000
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:22:25.200 --> 0:22:28.480
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:22:28.560 --> 0:22:32.119
<v Speaker 1>live to our flagship New York station, Just Say Alexa

0:22:32.280 --> 0:22:36.400
<v Speaker 1>Play Bloomberg eleven thirty.

0:22:37.640 --> 0:22:44.920
<v Speaker 2>All fly, Amram Baby, Ram baby.

0:22:45.520 --> 0:22:46.080
<v Speaker 7>All right.

0:22:46.600 --> 0:22:49.600
<v Speaker 6>I do want to fly, but not in a narrow

0:22:49.600 --> 0:22:52.119
<v Speaker 6>body seven thirty seven Max.

0:22:52.440 --> 0:22:54.520
<v Speaker 5>I'm still a little bit worried about flying on a

0:22:54.560 --> 0:22:55.879
<v Speaker 5>seven thirty seven? Is it just me?

0:22:56.119 --> 0:22:56.159
<v Speaker 2>No?

0:22:56.320 --> 0:22:58.879
<v Speaker 12>I get that I don't know enough about planes to

0:22:59.160 --> 0:23:00.760
<v Speaker 12>sort of suss out what aircraft.

0:23:00.840 --> 0:23:02.880
<v Speaker 6>I know very little about planes, but I know this

0:23:02.960 --> 0:23:07.159
<v Speaker 6>one tends to crash a lot. Those numbers seem yeah,

0:23:07.200 --> 0:23:09.800
<v Speaker 6>and Apparently the Chinese. For a while, they were cool

0:23:09.800 --> 0:23:12.439
<v Speaker 6>with it until the plane started to crash. They were

0:23:12.440 --> 0:23:15.320
<v Speaker 6>buying a ton of Boeings. Uh Trump's trade war and

0:23:15.359 --> 0:23:17.720
<v Speaker 6>then COVID, and all of a sudden, Boeing went from

0:23:17.760 --> 0:23:20.800
<v Speaker 6>like the most beloved plane maker in China.

0:23:20.920 --> 0:23:23.560
<v Speaker 5>To the biggest loser to air Bus.

0:23:23.960 --> 0:23:26.439
<v Speaker 6>This duopoly is something we're going to talk about with

0:23:26.480 --> 0:23:29.960
<v Speaker 6>Bloomberg BusinessWeek Editor in chief Joel Weber. He joins us

0:23:30.000 --> 0:23:32.639
<v Speaker 6>here in the Interactive Broker studio, as well as Julie Johnson,

0:23:32.680 --> 0:23:36.080
<v Speaker 6>the aerospace reporter, and Joel, I was telling Katie earlier,

0:23:37.080 --> 0:23:41.280
<v Speaker 6>my love for this business has grown exponentially since I

0:23:41.320 --> 0:23:42.880
<v Speaker 6>read Airframe by Michael Crichton.

0:23:43.920 --> 0:23:46.480
<v Speaker 8>Okay, have you read it? No, man, I.

0:23:47.040 --> 0:23:49.439
<v Speaker 6>Feel like this is one of the most novels he

0:23:49.480 --> 0:23:52.520
<v Speaker 6>wrote Jurassic Park, and it's a great book.

0:23:53.080 --> 0:23:56.800
<v Speaker 5>It touches on China.

0:23:55.640 --> 0:23:58.239
<v Speaker 6>But everyone needs to read it. So how did how

0:23:58.240 --> 0:23:59.560
<v Speaker 6>did Julie win? You overd this pitch?

0:23:59.600 --> 0:23:59.760
<v Speaker 1>Then?

0:24:00.240 --> 0:24:04.760
<v Speaker 8>Well, you know, we have this interest in airplanes and

0:24:05.119 --> 0:24:09.800
<v Speaker 8>air lines and the people who are running those companies

0:24:09.840 --> 0:24:14.120
<v Speaker 8>and also the people who manufacture them. There's this thing

0:24:14.200 --> 0:24:16.800
<v Speaker 8>that happened in China where you know, they closed the

0:24:16.800 --> 0:24:20.639
<v Speaker 8>borders for a really long time during COVID travel and

0:24:20.760 --> 0:24:28.000
<v Speaker 8>demand went away internally, domestically in China internationally, and that

0:24:28.080 --> 0:24:31.879
<v Speaker 8>had all kinds of implications for the global economy. It

0:24:32.000 --> 0:24:36.000
<v Speaker 8>also had implications for people who make and sell airplanes,

0:24:36.119 --> 0:24:39.520
<v Speaker 8>and that was sort of an interest of us, especially

0:24:39.560 --> 0:24:43.080
<v Speaker 8>ahead of the Paris Air Show, which is just around

0:24:43.119 --> 0:24:46.000
<v Speaker 8>the corner. And so we circled back to Julie to

0:24:46.000 --> 0:24:50.080
<v Speaker 8>talk more about Boeing. So, what's happening with Boeing since

0:24:50.400 --> 0:24:53.280
<v Speaker 8>China has been such a crucial market for the company

0:24:53.280 --> 0:24:56.280
<v Speaker 8>for so long, Julie.

0:24:55.600 --> 0:25:00.560
<v Speaker 13>Pretty fascinating, I mean for the last three or four years.

0:25:00.560 --> 0:25:05.320
<v Speaker 13>The story had been pretty much the same until very recently,

0:25:06.000 --> 0:25:08.400
<v Speaker 13>and it was one of frustration for Boeing. They were

0:25:08.440 --> 0:25:13.440
<v Speaker 13>locked out of their largest international market, frozen out, whatever

0:25:13.480 --> 0:25:18.520
<v Speaker 13>you want to call it, and and the they very

0:25:18.600 --> 0:25:20.800
<v Speaker 13>much seemed to be caught in the middle of this,

0:25:21.040 --> 0:25:24.600
<v Speaker 13>you know, trade war, and they were all kinds of

0:25:24.680 --> 0:25:28.440
<v Speaker 13>other issues mixed in, including the fact that China was

0:25:28.480 --> 0:25:32.680
<v Speaker 13>the first nation to ground the MAX after those two

0:25:32.720 --> 0:25:36.480
<v Speaker 13>crashes and one of the last to unground it. So

0:25:36.720 --> 0:25:41.800
<v Speaker 13>what's going on here is that market dynamics have overtaken

0:25:41.880 --> 0:25:47.159
<v Speaker 13>politics there because of COVID and the MAX grounding, the

0:25:47.200 --> 0:25:54.480
<v Speaker 13>global air mark market is thousands of planes short of demand,

0:25:54.920 --> 0:25:58.880
<v Speaker 13>and so if you want a Boeing jet, you want

0:25:58.880 --> 0:26:02.639
<v Speaker 13>a Max, you better get in line because they're sold

0:26:02.640 --> 0:26:05.560
<v Speaker 13>out now into twenty twenty eight. We just saw Ryanair

0:26:05.760 --> 0:26:10.400
<v Speaker 13>place this monster order that goes into the twenty thirties

0:26:11.440 --> 0:26:15.920
<v Speaker 13>just to line up aircraft, and Airbus is sold out

0:26:15.960 --> 0:26:20.960
<v Speaker 13>almost to twenty thirty. So it's pretty pretty fascinating to

0:26:21.040 --> 0:26:24.320
<v Speaker 13>see suddenly, you know, there's all this activity in China.

0:26:24.400 --> 0:26:27.720
<v Speaker 13>They need their planes, and things are starting to look

0:26:27.760 --> 0:26:28.439
<v Speaker 13>good for Boeing.

0:26:28.840 --> 0:26:30.000
<v Speaker 5>The numbers are striking.

0:26:30.119 --> 0:26:33.560
<v Speaker 6>I mean, I took from the story that Boeing was

0:26:33.600 --> 0:26:37.679
<v Speaker 6>like a big was beloved in China and was selling

0:26:37.720 --> 0:26:42.480
<v Speaker 6>more planes than anybody else there. And then the geopolitical

0:26:42.520 --> 0:26:44.480
<v Speaker 6>tensions I think are key, right, the Trump trade war

0:26:44.520 --> 0:26:49.160
<v Speaker 6>plus COVID plus the MAX crashes. Since twenty twenty, Airbus

0:26:49.240 --> 0:26:51.680
<v Speaker 6>has sold three hundred or delivered three hundred and eighty

0:26:51.680 --> 0:26:52.720
<v Speaker 6>four planes to China.

0:26:52.960 --> 0:26:57.240
<v Speaker 5>Boeing has delivered four why haven't bothered, and Ryanair has.

0:26:57.160 --> 0:27:00.320
<v Speaker 6>Now put in an order for three hundred. United Like

0:27:00.359 --> 0:27:03.200
<v Speaker 6>two hundred, and the Indians have ordered another one hundred,

0:27:03.280 --> 0:27:07.400
<v Speaker 6>So you know, everybody wants these things, and I guess

0:27:07.400 --> 0:27:08.560
<v Speaker 6>Boeing is now optimistic?

0:27:08.680 --> 0:27:10.240
<v Speaker 5>Is Dave Calhoun, the guy who runs Boeing?

0:27:10.359 --> 0:27:13.440
<v Speaker 6>Now he's optimistic that what the Chinese are going to

0:27:13.520 --> 0:27:16.199
<v Speaker 6>start ordering him again because he had a backlog of

0:27:16.200 --> 0:27:18.240
<v Speaker 6>like ten billion dollars of the planes that he was

0:27:18.280 --> 0:27:20.960
<v Speaker 6>supposed to sell to them but had started already giving

0:27:20.960 --> 0:27:21.560
<v Speaker 6>to other clients.

0:27:22.080 --> 0:27:23.359
<v Speaker 8>You did it, that's firedough it.

0:27:26.080 --> 0:27:29.119
<v Speaker 13>Yeah, so there's a lot of to unpack here. Boeing

0:27:29.200 --> 0:27:32.760
<v Speaker 13>has one hundred and forty planes that they built for China,

0:27:32.840 --> 0:27:36.200
<v Speaker 13>most of them in twenty twenty nineteen, that have been

0:27:36.200 --> 0:27:41.040
<v Speaker 13>in storage because China was closed to the MAX and

0:27:41.160 --> 0:27:45.320
<v Speaker 13>China has not resumed imports of the Max yet, but

0:27:46.600 --> 0:27:51.040
<v Speaker 13>apparently that could happen. It's basically all they need is

0:27:51.080 --> 0:27:54.520
<v Speaker 13>a stamp from the government for that to happen. The

0:27:54.600 --> 0:28:00.960
<v Speaker 13>airlines want their planes. So so yeah, that's the ten

0:28:01.040 --> 0:28:05.440
<v Speaker 13>billion dollars that's tied up. That's been very frustrating to Boeing.

0:28:05.720 --> 0:28:10.880
<v Speaker 13>But if China, you know, Boeing kind of ran out

0:28:10.920 --> 0:28:13.240
<v Speaker 13>of patients last year as the market started to heat

0:28:13.359 --> 0:28:16.919
<v Speaker 13>up and Calhoun was not subtle at all in saying,

0:28:17.080 --> 0:28:20.240
<v Speaker 13>you know, we're marketing these If you don't want these planes,

0:28:20.280 --> 0:28:23.400
<v Speaker 13>they are going to be other buyers. And that's that's

0:28:23.480 --> 0:28:26.240
<v Speaker 13>right around the time that China started reopening and this

0:28:26.240 --> 0:28:29.399
<v Speaker 13>this relationship flipped and by the way, I mean it

0:28:29.400 --> 0:28:33.160
<v Speaker 13>could flip again, Like the politics are crazy here. I mean,

0:28:34.000 --> 0:28:36.080
<v Speaker 13>but it's looking good for Boeing.

0:28:36.800 --> 0:28:42.880
<v Speaker 8>So how did Airbus manage to to really just continue

0:28:42.880 --> 0:28:46.440
<v Speaker 8>to you know, sell planes. There's so much more dramatically

0:28:46.440 --> 0:28:46.920
<v Speaker 8>than Boeing.

0:28:47.800 --> 0:28:51.920
<v Speaker 13>Well, their plane wasn't grounded. I mean, this is so

0:28:52.880 --> 0:28:56.520
<v Speaker 13>the Max. The global grounding was I think the longest

0:28:57.040 --> 0:29:02.320
<v Speaker 13>in aviation history, certainly the longest for a really important aircraft,

0:29:02.920 --> 0:29:07.719
<v Speaker 13>and Airbus Boeing had to shut down production during COVID.

0:29:07.800 --> 0:29:12.880
<v Speaker 13>Airbus managed to keep their factories going and running semi

0:29:13.080 --> 0:29:17.160
<v Speaker 13>semi hot. And then Airbus has also done a lot

0:29:17.200 --> 0:29:21.400
<v Speaker 13>of direct investment in China and they've got they've you know,

0:29:21.400 --> 0:29:25.920
<v Speaker 13>they're building their A three twenty NEOs in China that's

0:29:26.080 --> 0:29:30.680
<v Speaker 13>the rival to the Max. So so they've managed they've

0:29:30.880 --> 0:29:33.760
<v Speaker 13>got a really good relationship that they've you know, they've

0:29:33.760 --> 0:29:39.120
<v Speaker 13>managed to foster through the trade tensions. And by the way,

0:29:39.280 --> 0:29:43.200
<v Speaker 13>Washington's kind of irritated by some of the ordering that

0:29:43.480 --> 0:29:45.640
<v Speaker 13>that's gone to Airbus's way.

0:29:45.760 --> 0:29:48.120
<v Speaker 5>Oh well please, They've brought it upon themselves.

0:29:48.680 --> 0:29:50.840
<v Speaker 6>I mean, you know, if you want to win a

0:29:50.880 --> 0:29:53.360
<v Speaker 6>congressional campaign, dissing China.

0:29:53.080 --> 0:29:55.200
<v Speaker 5>Is a great way to do that to get votes.

0:29:55.240 --> 0:29:57.880
<v Speaker 6>And the Europeans have been courting the Chinese with the

0:29:57.920 --> 0:30:00.959
<v Speaker 6>Belton Road initiative and letting him straight up in through Italy,

0:30:01.040 --> 0:30:04.480
<v Speaker 6>right up into the heart of Europe. That's got to

0:30:04.480 --> 0:30:05.800
<v Speaker 6>help a lot as well, doesn't it.

0:30:06.520 --> 0:30:07.440
<v Speaker 5>Yeah?

0:30:07.520 --> 0:30:09.680
<v Speaker 13>Yeah, absolutely so.

0:30:11.280 --> 0:30:14.560
<v Speaker 6>I wonder why does China not have its own I

0:30:14.640 --> 0:30:16.720
<v Speaker 6>was talking about airframe. I was talking about Airframe, the

0:30:16.720 --> 0:30:18.360
<v Speaker 6>book by Michael Crichton, Julie, have you read it?

0:30:19.240 --> 0:30:19.600
<v Speaker 13>Sorry?

0:30:20.080 --> 0:30:22.959
<v Speaker 5>Okay, I thought it was popular anyway.

0:30:23.040 --> 0:30:27.840
<v Speaker 6>Part of the book talks about how the airplane ip like,

0:30:27.880 --> 0:30:30.480
<v Speaker 6>for example, how you make a wing is so heavily

0:30:30.600 --> 0:30:33.640
<v Speaker 6>guarded in this country, and I'm sure air Bus guards

0:30:33.680 --> 0:30:36.560
<v Speaker 6>theirs as well. But they have to outsource some of

0:30:36.600 --> 0:30:40.400
<v Speaker 6>this manufacturing to China. As you know, the global economy

0:30:41.160 --> 0:30:44.440
<v Speaker 6>became too intertwined. China knows how to make planes, now,

0:30:44.480 --> 0:30:47.440
<v Speaker 6>why don't they make an uncomfortable narrow body jet.

0:30:48.920 --> 0:30:54.640
<v Speaker 13>They have China just to make things even more complicated.

0:30:54.640 --> 0:30:59.479
<v Speaker 13>So China has its rival, homegrown rival to the Max

0:30:59.560 --> 0:31:03.040
<v Speaker 13>and to the A three twenty neo, and it just

0:31:03.400 --> 0:31:09.600
<v Speaker 13>entered service last month and more than ten years behind schedule,

0:31:09.720 --> 0:31:15.040
<v Speaker 13>by the way, and about I've seen estimates that around

0:31:15.080 --> 0:31:18.560
<v Speaker 13>eighty percent of the technology in that plane, basically everything

0:31:18.600 --> 0:31:24.640
<v Speaker 13>that you need to keep it aloft is Western made,

0:31:25.040 --> 0:31:31.960
<v Speaker 13>and so manufacturing commercial jets is really, really, really difficult,

0:31:32.280 --> 0:31:37.680
<v Speaker 13>and to build them on scale even tougher. So it's

0:31:38.000 --> 0:31:39.880
<v Speaker 13>one thing to get it into the air, but then

0:31:40.080 --> 0:31:44.320
<v Speaker 13>the next challenge for China is to start churning these out,

0:31:45.120 --> 0:31:50.120
<v Speaker 13>and it's you know, they put a lot of resources

0:31:50.120 --> 0:31:52.360
<v Speaker 13>into it. I wouldn't count them out at all, but

0:31:53.800 --> 0:31:58.360
<v Speaker 13>it's going to be probably decades before they're a threat

0:31:58.360 --> 0:32:01.560
<v Speaker 13>to Boeing an air bus. And that also works in

0:32:01.600 --> 0:32:03.000
<v Speaker 13>Boeing's favor right now.

0:32:03.480 --> 0:32:07.640
<v Speaker 8>Okay, Well, if Matt is reluctant to get on the Max, Katie,

0:32:07.680 --> 0:32:12.120
<v Speaker 8>I'm curious the CET nine to nineteen, that's going to

0:32:12.160 --> 0:32:15.920
<v Speaker 8>be China's answer to the Max. Matt, when you're gonna

0:32:15.920 --> 0:32:17.160
<v Speaker 8>step on one of those.

0:32:17.000 --> 0:32:23.040
<v Speaker 6>No, I mean no, it's like getting a Chinese COVID vaccine.

0:32:23.080 --> 0:32:23.920
<v Speaker 5>No, thank you, ma'am.

0:32:24.080 --> 0:32:25.800
<v Speaker 8>No, it could work.

0:32:26.520 --> 0:32:28.160
<v Speaker 5>It could, yeah, it could.

0:32:28.360 --> 0:32:31.480
<v Speaker 12>Okay, Julie, I have a question about the competitive landscape here,

0:32:31.520 --> 0:32:34.959
<v Speaker 12>because again it seems like this dynamic maybe is shifting

0:32:35.040 --> 0:32:38.920
<v Speaker 12>again in favor of Boeing. But I mean you also

0:32:38.960 --> 0:32:42.240
<v Speaker 12>made the point that if you look at airbuses, waitless.

0:32:42.280 --> 0:32:45.280
<v Speaker 12>I mean we're talking until the start of the next decade.

0:32:45.360 --> 0:32:48.440
<v Speaker 12>So from a competitive standpoint, it still seems like when

0:32:48.480 --> 0:32:52.480
<v Speaker 12>it comes to China, Boeing is far behind that of

0:32:52.520 --> 0:32:53.000
<v Speaker 12>air Bus.

0:32:53.040 --> 0:32:56.280
<v Speaker 2>Is that safe to say, Yeah, that's that's spot on.

0:32:56.720 --> 0:33:02.520
<v Speaker 13>Yeah, that's exactly right on. The Airbus is clearly in

0:33:02.560 --> 0:33:08.080
<v Speaker 13>the driver's seat. And frankly because they both Boeing and

0:33:08.160 --> 0:33:12.000
<v Speaker 13>Airbus have struggled post COVID to get their factories back

0:33:12.080 --> 0:33:15.600
<v Speaker 13>up and running smoothly. And when you're coordinating hundreds of

0:33:15.600 --> 0:33:18.600
<v Speaker 13>thousands of planes or parts that go into a plane

0:33:18.600 --> 0:33:21.520
<v Speaker 13>and they've got to arrive on schedule, you know, sometimes

0:33:21.640 --> 0:33:24.920
<v Speaker 13>down time to the half hour, you can just see

0:33:24.960 --> 0:33:28.400
<v Speaker 13>how quickly, you know, how difficult that is, and how

0:33:28.480 --> 0:33:32.960
<v Speaker 13>quickly things things can go amiss. And so air buses

0:33:33.480 --> 0:33:36.960
<v Speaker 13>inability to you know, to make good on their their

0:33:37.000 --> 0:33:39.800
<v Speaker 13>schedule has kind of left Boing back into the game

0:33:39.840 --> 0:33:43.800
<v Speaker 13>a little bit. But Airbus right now dominates. I mean

0:33:43.840 --> 0:33:46.959
<v Speaker 13>there's just no question it's their market.

0:33:47.400 --> 0:33:53.040
<v Speaker 8>Okay, Julie, I'm curious. Air show coming up soon Parish?

0:33:53.280 --> 0:33:55.280
<v Speaker 8>Do you get to go? And if not, what are

0:33:55.320 --> 0:33:56.680
<v Speaker 8>you going to be looking for from Afar?

0:33:57.880 --> 0:33:59.440
<v Speaker 5>No, I'm I'm I'm gonna be there.

0:33:59.520 --> 0:34:05.840
<v Speaker 13>I'm gonna be sleep deprived and you know, eating bread

0:34:05.880 --> 0:34:08.320
<v Speaker 13>and cheese and sitting in traffic.

0:34:09.239 --> 0:34:15.520
<v Speaker 6>Maybe truly, poor Julie, she's gonna be eating French cheese

0:34:15.600 --> 0:34:16.600
<v Speaker 6>and drinking wine.

0:34:16.880 --> 0:34:18.880
<v Speaker 8>What what are you most looking forward to there, Julie?

0:34:19.160 --> 0:34:20.920
<v Speaker 5>You know it's on it.

0:34:21.320 --> 0:34:26.279
<v Speaker 13>The excitement is palpable. So it's it's very cool to

0:34:26.440 --> 0:34:30.239
<v Speaker 13>have the whole industry. I mean, tens of thousands of

0:34:30.239 --> 0:34:34.279
<v Speaker 13>people jammed into an airfield for a few days and

0:34:34.320 --> 0:34:37.120
<v Speaker 13>you run into I mean, like, oh my gosh, there's

0:34:37.160 --> 0:34:41.239
<v Speaker 13>a you know, four star general walking by. I mean,

0:34:41.320 --> 0:34:47.000
<v Speaker 13>it's just it's really really cool just and and as

0:34:47.040 --> 0:34:51.400
<v Speaker 13>a as a I love airplanes, and so just just

0:34:51.440 --> 0:34:54.160
<v Speaker 13>to see them up close, to see the flying displays,

0:34:54.200 --> 0:34:56.960
<v Speaker 13>to run into people I know, it's it's like.

0:34:57.000 --> 0:34:57.680
<v Speaker 2>It's very cool.

0:34:57.680 --> 0:35:01.000
<v Speaker 8>Matt wants you to ask why Airframe wasn't a bigger hit.

0:35:01.360 --> 0:35:03.839
<v Speaker 6>I feel like it was huge, But now you guys

0:35:03.840 --> 0:35:06.319
<v Speaker 6>read it, I'm excited to I'm excited to see what

0:35:06.360 --> 0:35:07.839
<v Speaker 6>they have. And Julie, we're going to have you back

0:35:07.880 --> 0:35:10.480
<v Speaker 6>on out at the Paris Air Show because they always

0:35:10.480 --> 0:35:14.080
<v Speaker 6>have the coolest new things, new products there and it'll

0:35:14.080 --> 0:35:14.759
<v Speaker 6>be interesting to see.

0:35:14.800 --> 0:35:18.759
<v Speaker 8>It's always an open question. Overrated, underrated? The book air

0:35:18.760 --> 0:35:21.600
<v Speaker 8>Frame by Michael Creton, just putting it out there.

0:35:22.480 --> 0:35:27.760
<v Speaker 6>The book apparently is under red, all right, Julie Johnson.

0:35:27.840 --> 0:35:31.880
<v Speaker 6>There covers airlines for US or aerospace is more than

0:35:31.920 --> 0:35:34.680
<v Speaker 6>just airlines, the makers of planes and defense.

0:35:34.480 --> 0:35:35.440
<v Speaker 5>Stuff as well.

0:35:35.680 --> 0:35:38.720
<v Speaker 6>Joel Ever, editor and chief at Bloomberg business Week.

0:35:39.160 --> 0:35:42.719
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:35:42.760 --> 0:35:46.440
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:35:46.640 --> 0:35:49.920
<v Speaker 1>the Bloomberg Business app and YouTube. You can also listen

0:35:50.040 --> 0:35:53.640
<v Speaker 1>live to our flagship New York station, Just say Alexa,

0:35:53.760 --> 0:35:55.440
<v Speaker 1>play Bloomberg You Love them thirty.

0:35:57.719 --> 0:35:59.120
<v Speaker 3>First of all, just a little bit of a setup.

0:35:59.120 --> 0:36:01.560
<v Speaker 3>Remember we caught up with more Keeshaw CEO at All Finance.

0:36:01.640 --> 0:36:04.200
<v Speaker 6>Yess, I will never forget because he gave me that

0:36:05.360 --> 0:36:07.920
<v Speaker 6>phrase that I use all the time, which is you.

0:36:07.880 --> 0:36:10.120
<v Speaker 5>Need to put your greed above your bias.

0:36:10.600 --> 0:36:13.000
<v Speaker 3>Yeah right, yeah, it makes so much sense. Well, and

0:36:13.239 --> 0:36:16.640
<v Speaker 3>he is really specifically working on diversifying the all finance space,

0:36:16.760 --> 0:36:19.960
<v Speaker 3>and he talked about All Finance having their first graduating

0:36:20.000 --> 0:36:23.200
<v Speaker 3>class of HBCU students who are now headed to the

0:36:23.280 --> 0:36:27.120
<v Speaker 3>investment world. So all about diversifying the financial space. And

0:36:27.160 --> 0:36:28.920
<v Speaker 3>that's where we get to our next guest. It's our

0:36:28.960 --> 0:36:32.360
<v Speaker 3>regular equality segment because June is Equality month. Harold Butler

0:36:32.440 --> 0:36:35.279
<v Speaker 3>is City Group Global Markets head of Diverse Financial Institutions Group,

0:36:35.400 --> 0:36:38.120
<v Speaker 3>joining us on site here at Bloomberg Headquarters. Although I

0:36:38.200 --> 0:36:40.960
<v Speaker 3>will say that we try to delve into this all

0:36:41.000 --> 0:36:43.440
<v Speaker 3>the time, I don't need a month to do it. Yes,

0:36:44.080 --> 0:36:46.440
<v Speaker 3>and I'm looking forward to the time where I think

0:36:46.480 --> 0:36:48.000
<v Speaker 3>it's really important, but that we don't have to talk

0:36:48.000 --> 0:36:49.080
<v Speaker 3>about it because it's just done.

0:36:49.160 --> 0:36:50.240
<v Speaker 8>Wouldn't it be wonderful?

0:36:50.400 --> 0:36:52.839
<v Speaker 3>Why aren't we done already? I've been doing this a

0:36:52.840 --> 0:36:55.960
<v Speaker 3>long time, yes, and Matt's been doing a long time.

0:36:56.000 --> 0:36:57.960
<v Speaker 5>And it is funny.

0:36:58.000 --> 0:37:00.120
<v Speaker 6>I was reading there was a story today about the

0:37:00.160 --> 0:37:03.920
<v Speaker 6>Supreme Court backing black congressional district, and I think Alabama

0:37:04.120 --> 0:37:08.160
<v Speaker 6>was in Alabama, Alabama, and I was thinking, how insane

0:37:08.280 --> 0:37:09.960
<v Speaker 6>is it that we still have to deal with this

0:37:10.040 --> 0:37:13.040
<v Speaker 6>kind of crap. If somebody a hundred years ago had

0:37:13.040 --> 0:37:15.319
<v Speaker 6>read that headline, they would have been like, seriously, they

0:37:15.360 --> 0:37:17.799
<v Speaker 6>haven't dealt with the racial problems in America yet.

0:37:18.000 --> 0:37:18.480
<v Speaker 14>Seriously.

0:37:18.640 --> 0:37:21.920
<v Speaker 5>Yeah, I mean exactly, it's just unbelievable, the right to.

0:37:21.920 --> 0:37:24.120
<v Speaker 14>Vote other things. Absolutely, I agree.

0:37:23.920 --> 0:37:25.240
<v Speaker 3>With you what's wrong with society?

0:37:25.840 --> 0:37:29.479
<v Speaker 14>You know, if I had a crystal ball, I could

0:37:29.480 --> 0:37:32.719
<v Speaker 14>probably give you that answer. Right.

0:37:32.840 --> 0:37:35.040
<v Speaker 8>I think people need to relax.

0:37:35.120 --> 0:37:36.480
<v Speaker 15>Quite frankly, what does that mean?

0:37:36.560 --> 0:37:36.960
<v Speaker 16>What do you mean?

0:37:37.160 --> 0:37:41.760
<v Speaker 14>I think people? I actually think folks are very uptight

0:37:42.040 --> 0:37:44.879
<v Speaker 14>right in the US and general. And it's not necessarily

0:37:45.000 --> 0:37:47.320
<v Speaker 14>just a financial markets. You know. I'll give you an example.

0:37:48.120 --> 0:37:51.440
<v Speaker 14>You know, when you go my very first time to Europe,

0:37:51.719 --> 0:37:54.080
<v Speaker 14>I had the pleasure of serving in the US Army

0:37:55.120 --> 0:37:58.279
<v Speaker 14>and I got stationed at NATO Suppek and when I

0:37:58.440 --> 0:38:01.960
<v Speaker 14>landed and this is back several years ago, with seventy

0:38:02.040 --> 0:38:04.759
<v Speaker 14>years a long time, and when I landed in Belgium,

0:38:05.520 --> 0:38:08.000
<v Speaker 14>I went to the installation and I said well, where

0:38:08.040 --> 0:38:09.400
<v Speaker 14>is everybody this?

0:38:09.600 --> 0:38:11.320
<v Speaker 8>Oh, it's CIEs the time.

0:38:11.280 --> 0:38:13.840
<v Speaker 14>Where people are taking a lunch and taking a break

0:38:14.400 --> 0:38:19.239
<v Speaker 14>so they can reset themselves for today, right, and communicy

0:38:19.360 --> 0:38:21.279
<v Speaker 14>families or whatever. And then they come back to work

0:38:21.280 --> 0:38:22.719
<v Speaker 14>and to work a couple of hours, and they're much

0:38:22.719 --> 0:38:27.280
<v Speaker 14>more effective. And I said, in what's wrong with this picture?

0:38:28.320 --> 0:38:28.719
<v Speaker 14>Come in?

0:38:28.760 --> 0:38:29.120
<v Speaker 3>I'm in.

0:38:30.320 --> 0:38:31.440
<v Speaker 5>I want to join that too.

0:38:32.400 --> 0:38:34.279
<v Speaker 3>We sa a bit about Germany right, that there was

0:38:34.320 --> 0:38:34.920
<v Speaker 3>more balance.

0:38:35.080 --> 0:38:37.640
<v Speaker 6>I mean, you know what because of the social system,

0:38:38.800 --> 0:38:41.400
<v Speaker 6>because of the safety nets. I think also, you know,

0:38:41.520 --> 0:38:43.520
<v Speaker 6>people aren't as worried about how am I going to

0:38:43.560 --> 0:38:45.680
<v Speaker 6>pay for if I have an accident, how I pay

0:38:45.680 --> 0:38:47.360
<v Speaker 6>for health care? If I get fired, how am I

0:38:47.400 --> 0:38:50.200
<v Speaker 6>going to afford to pay my rest right? Because there

0:38:50.239 --> 0:38:54.640
<v Speaker 6>are so many more safety nets, and as a result,

0:38:54.680 --> 0:38:56.200
<v Speaker 6>I think they need to use them less.

0:38:56.440 --> 0:38:58.920
<v Speaker 3>To be honest, no, I get it, they get worried

0:38:58.920 --> 0:39:03.040
<v Speaker 3>about it. So if we relax, yes, I like to relax.

0:39:03.160 --> 0:39:06.920
<v Speaker 3>Why do you think how can that improve the situation

0:39:07.120 --> 0:39:10.960
<v Speaker 3>in terms of diversification. I'm tired of hearing I love

0:39:11.000 --> 0:39:13.200
<v Speaker 3>you Mackenzie, but tired of hearing about the studies. I

0:39:13.239 --> 0:39:16.040
<v Speaker 3>get it. It's better to be diversified and there's a

0:39:16.080 --> 0:39:20.520
<v Speaker 3>bottom line financial component to it. So tell me if

0:39:20.520 --> 0:39:23.080
<v Speaker 3>we relax, how does that make things better?

0:39:23.239 --> 0:39:26.560
<v Speaker 14>Well, I mean, let's use the financial component.

0:39:26.680 --> 0:39:26.799
<v Speaker 1>Right.

0:39:26.880 --> 0:39:29.480
<v Speaker 8>So, like you, I am.

0:39:29.320 --> 0:39:36.080
<v Speaker 14>Oftentimes mind boggled at the same conversation around you know,

0:39:36.200 --> 0:39:38.600
<v Speaker 14>why are we doing what we're doing?

0:39:38.960 --> 0:39:39.160
<v Speaker 11>Right?

0:39:39.840 --> 0:39:44.120
<v Speaker 14>Just recently, in fact, I was asked, so, why are

0:39:44.200 --> 0:39:47.080
<v Speaker 14>we having the same conversation about equity?

0:39:47.719 --> 0:39:48.160
<v Speaker 3>Yeah?

0:39:48.680 --> 0:39:51.719
<v Speaker 14>Why are we still having this conversation? And you know,

0:39:51.880 --> 0:39:54.800
<v Speaker 14>without having to go into a history lesson, which sometimes

0:39:54.840 --> 0:39:59.000
<v Speaker 14>I don't mind doing, right and really helping that individual

0:39:59.080 --> 0:40:02.080
<v Speaker 14>ask me the question, talk about helping them to understand

0:40:02.120 --> 0:40:05.080
<v Speaker 14>why things are the way they are. I said, let's

0:40:05.160 --> 0:40:10.959
<v Speaker 14>let's refocus your question and you ask yourself, right, if

0:40:11.920 --> 0:40:15.480
<v Speaker 14>if the shoe were on the other foot, how would

0:40:15.520 --> 0:40:16.719
<v Speaker 14>it be different for you?

0:40:17.160 --> 0:40:17.319
<v Speaker 6>Right?

0:40:17.400 --> 0:40:18.640
<v Speaker 14>And when I say the shoe of being on the

0:40:18.719 --> 0:40:21.200
<v Speaker 14>other foot, you know he's talking about in this case,

0:40:21.520 --> 0:40:26.200
<v Speaker 14>I'm kind of tired of hearing about diverse and equity

0:40:26.280 --> 0:40:27.200
<v Speaker 14>and all this kind of stuff.

0:40:27.320 --> 0:40:32.040
<v Speaker 3>Tired. Just no, no, no, I'm just saying repetition is why

0:40:32.080 --> 0:40:33.120
<v Speaker 3>isn't it done right?

0:40:33.360 --> 0:40:36.279
<v Speaker 14>That's just the whole point is that I think I

0:40:36.280 --> 0:40:40.480
<v Speaker 14>think we and I hope this is where we're going now. Right,

0:40:40.800 --> 0:40:44.520
<v Speaker 14>much of the work that's been done, certainly past the

0:40:44.640 --> 0:40:47.160
<v Speaker 14>horrific events that took place several years ago. There's a

0:40:47.160 --> 0:40:50.719
<v Speaker 14>lot of corporations that have come into the space that

0:40:50.760 --> 0:40:54.640
<v Speaker 14>are putting capital in the spaceport George Murder, George Floyd.

0:40:54.680 --> 0:40:56.800
<v Speaker 3>The conversation shifted dramatically.

0:40:56.320 --> 0:41:01.120
<v Speaker 14>Dramatically, right yet, and yet I think I think progress

0:41:01.200 --> 0:41:04.080
<v Speaker 14>is happening, but yet we're not there yet, right, And

0:41:04.440 --> 0:41:07.920
<v Speaker 14>I think it's because it continues to be a difficult

0:41:08.000 --> 0:41:11.000
<v Speaker 14>conversation for people to have. I think people some people

0:41:11.000 --> 0:41:15.360
<v Speaker 14>don't really understand steal the what or what needs to happen.

0:41:15.920 --> 0:41:18.760
<v Speaker 14>And I think some folks just get for Clint about

0:41:19.160 --> 0:41:21.040
<v Speaker 14>the level of commitment that they need to make.

0:41:21.239 --> 0:41:21.399
<v Speaker 11>Right.

0:41:21.440 --> 0:41:22.560
<v Speaker 8>We over a.

0:41:22.480 --> 0:41:26.440
<v Speaker 14>Lot of times financial institutions in general, because it's the

0:41:26.520 --> 0:41:28.920
<v Speaker 14>nature of how we do business, you know, we think

0:41:28.960 --> 0:41:31.120
<v Speaker 14>about it a lot, right, We put do you think

0:41:31.120 --> 0:41:33.279
<v Speaker 14>about risk? And we think about this, and we think

0:41:33.320 --> 0:41:35.080
<v Speaker 14>about that, and all this out of time.

0:41:35.080 --> 0:41:37.000
<v Speaker 3>A trader's got to pull the button and make the trade.

0:41:37.040 --> 0:41:39.239
<v Speaker 14>You got to do it right. If we weren't on

0:41:40.880 --> 0:41:43.360
<v Speaker 14>radio live radio, I have a nice little term for

0:41:43.400 --> 0:41:44.560
<v Speaker 14>them but it's.

0:41:44.440 --> 0:41:47.359
<v Speaker 3>Probably it sounds like we got to get off the pot.

0:41:47.400 --> 0:41:48.560
<v Speaker 8>I mean, really what we need to do.

0:41:48.600 --> 0:41:51.359
<v Speaker 6>I think also it's just it's so hard for people

0:41:51.440 --> 0:41:55.400
<v Speaker 6>to overcome their biases. Yes, when Marcus Shaw came on

0:41:55.640 --> 0:41:58.080
<v Speaker 6>and he gave us this, uh, this term, you need

0:41:58.080 --> 0:41:59.400
<v Speaker 6>to put your greed over your biases.

0:42:00.080 --> 0:42:00.239
<v Speaker 14>Use.

0:42:00.920 --> 0:42:03.840
<v Speaker 6>His point was, if you have that kind of diversity,

0:42:03.880 --> 0:42:07.840
<v Speaker 6>you're going to be able to generate more revenue, better margins,

0:42:07.880 --> 0:42:09.239
<v Speaker 6>You're going to be able to make money.

0:42:09.320 --> 0:42:11.160
<v Speaker 5>And that's what we all want to do. So we

0:42:11.200 --> 0:42:13.839
<v Speaker 5>all want ostensibly, right, So.

0:42:13.840 --> 0:42:18.320
<v Speaker 3>Bias is that strong that people will give up making money?

0:42:18.400 --> 0:42:21.719
<v Speaker 6>Yeah, let's talk about black banks versus surely because you

0:42:22.080 --> 0:42:24.360
<v Speaker 6>said sometimes you don't mind giving people a history lesson,

0:42:24.520 --> 0:42:25.560
<v Speaker 6>and I think people need that.

0:42:25.680 --> 0:42:25.960
<v Speaker 15>Here.

0:42:26.560 --> 0:42:32.239
<v Speaker 6>There are historically black banks. Are they still in operational

0:42:32.640 --> 0:42:34.879
<v Speaker 6>the same sort of scale that they once were?

0:42:35.360 --> 0:42:40.440
<v Speaker 14>Well, you know, since reconstruction. The black banks that are

0:42:40.480 --> 0:42:43.799
<v Speaker 14>in existence today about seventeen of them, so that's not

0:42:43.840 --> 0:42:47.120
<v Speaker 14>a big number. Across the country probably have more capital

0:42:47.480 --> 0:42:52.520
<v Speaker 14>than they ever ever had. Right during the number of

0:42:52.560 --> 0:42:56.359
<v Speaker 14>years prior to these events that we've talked about, such

0:42:56.360 --> 0:42:58.360
<v Speaker 14>as the murder George Bloyd and how the whole industry

0:42:58.480 --> 0:43:01.759
<v Speaker 14>sort of change. It was a tough world, right, and

0:43:01.880 --> 0:43:04.960
<v Speaker 14>that's steal tough, but it is changing because the banks

0:43:05.000 --> 0:43:09.960
<v Speaker 14>do have capital. Prior to you know, there wasn't capital

0:43:10.000 --> 0:43:13.719
<v Speaker 14>to do things right, And so people oftentimes ask me, well,

0:43:13.719 --> 0:43:17.880
<v Speaker 14>how come there are black financial institutions that have been

0:43:17.920 --> 0:43:21.920
<v Speaker 14>around for one hundred years and they remain under a

0:43:22.000 --> 0:43:23.760
<v Speaker 14>billion dollars in assets for example?

0:43:24.200 --> 0:43:24.399
<v Speaker 7>Right?

0:43:24.960 --> 0:43:27.000
<v Speaker 14>And then I like to say to the history lesson things,

0:43:27.040 --> 0:43:30.880
<v Speaker 14>I well, if you were denied capital markets, if you

0:43:30.920 --> 0:43:35.080
<v Speaker 14>couldn't play in the capital markets, you'd be the same way, right,

0:43:35.200 --> 0:43:38.279
<v Speaker 14>because it's a vicious cycle, right. And if you don't

0:43:38.320 --> 0:43:41.839
<v Speaker 14>have access to capital, you don't grow, right. And if

0:43:41.840 --> 0:43:45.760
<v Speaker 14>you don't grow, you cannot offer the communities you serve

0:43:46.960 --> 0:43:50.640
<v Speaker 14>services and things like that. So you know, it's it

0:43:50.680 --> 0:43:51.600
<v Speaker 14>has been a.

0:43:52.040 --> 0:43:54.880
<v Speaker 3>It gets exponential, it does, right if they're able to

0:43:54.960 --> 0:43:56.680
<v Speaker 3>lend out and you keep going.

0:43:56.960 --> 0:44:00.000
<v Speaker 14>It's just the growth, that's right, that's right.

0:44:00.080 --> 0:44:03.160
<v Speaker 6>So what can be done about it? You are at city?

0:44:03.400 --> 0:44:06.399
<v Speaker 6>Can you do you work with them? Or are you competitors?

0:44:07.160 --> 0:44:11.960
<v Speaker 14>Definitely not competitors, right, So we've taken we're gigantic, We're

0:44:12.000 --> 0:44:16.000
<v Speaker 14>not relative pect. We're not that I'm gigantic the waistline

0:44:16.040 --> 0:44:16.719
<v Speaker 14>maybe a little bit.

0:44:17.120 --> 0:44:19.080
<v Speaker 3>But you're what we considered one of the big banks.

0:44:19.120 --> 0:44:22.120
<v Speaker 14>Well, we are a big bank, right, and I'm thankful

0:44:22.160 --> 0:44:23.920
<v Speaker 14>we're a big bank because we're able to do things

0:44:23.960 --> 0:44:27.040
<v Speaker 14>in a unique way and we're the first. Really maybe

0:44:27.040 --> 0:44:28.960
<v Speaker 14>you didn't know this, I'm so I'm happy to tell

0:44:28.960 --> 0:44:32.760
<v Speaker 14>you this. We're the only bank Steal on the street,

0:44:33.160 --> 0:44:37.000
<v Speaker 14>the first to actually create a dedicated business unit, the

0:44:37.120 --> 0:44:41.880
<v Speaker 14>Verse Financial Institutions group. This focused at the minority deposit institution.

0:44:42.040 --> 0:44:44.879
<v Speaker 14>Are going to include broker dealers and asset managers because

0:44:44.880 --> 0:44:47.600
<v Speaker 14>they're part of the equation as well. Absolutely right, And

0:44:47.680 --> 0:44:51.839
<v Speaker 14>so our mission, our focus really has been to get

0:44:51.880 --> 0:44:57.200
<v Speaker 14>to communities underrepresented, right, under invested communities through these financial

0:44:57.200 --> 0:45:01.560
<v Speaker 14>institutions in a way that you know, we can help

0:45:01.600 --> 0:45:05.040
<v Speaker 14>those banks attract investment to a community, to get rid

0:45:05.080 --> 0:45:09.799
<v Speaker 14>of food deserts, which helps people eat more healthy so

0:45:09.840 --> 0:45:12.560
<v Speaker 14>they don't go to the doctor. And you know, as

0:45:12.640 --> 0:45:15.880
<v Speaker 14>much it's you said earlier, it's a vicious cycle.

0:45:15.960 --> 0:45:18.520
<v Speaker 3>Yeah, all those things that keep people from moving ahead

0:45:18.520 --> 0:45:22.200
<v Speaker 3>financially as well as just kind of personally stay in touch.

0:45:22.280 --> 0:45:22.920
<v Speaker 3>Let's know, how things are.

0:45:23.160 --> 0:45:25.399
<v Speaker 14>I'm happy to stay in touch. I've got so much

0:45:25.400 --> 0:45:27.759
<v Speaker 14>to talk about you. If you have me back, will

0:45:27.760 --> 0:45:29.600
<v Speaker 14>we get back. We can have all kinds of fun

0:45:29.640 --> 0:45:30.480
<v Speaker 14>talking about this week.

0:45:30.520 --> 0:45:32.520
<v Speaker 6>We will definitely have you back. Thank you for coming in,

0:45:32.760 --> 0:45:33.840
<v Speaker 6>Thank you for your service.

0:45:34.000 --> 0:45:34.759
<v Speaker 14>Thank you very much.

0:45:34.800 --> 0:45:36.879
<v Speaker 3>By the way, thank your waistline is just fun.

0:45:36.920 --> 0:45:38.040
<v Speaker 8>I'm just okay, I appreciate that.

0:45:38.680 --> 0:45:42.320
<v Speaker 3>Harld Butler, who's Global Markets head of Diverse Financial Institutions

0:45:42.360 --> 0:45:43.399
<v Speaker 3>Group at City Group.

0:45:50.080 --> 0:45:53.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. That's just

0:45:53.680 --> 0:45:57.360
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:45:57.560 --> 0:46:00.840
<v Speaker 1>the Bloomberg Business App and YouTube. You can also listen

0:46:00.960 --> 0:46:04.480
<v Speaker 1>live to our flagship New York station Just Say Alexa

0:46:04.680 --> 0:46:06.600
<v Speaker 1>play Bloomberg. You love them thirty.

0:46:08.000 --> 0:46:10.239
<v Speaker 3>Well, got to say. Ruling the AI world right now

0:46:10.280 --> 0:46:13.000
<v Speaker 3>without a doubt is Microsoft and the stock closing at

0:46:13.280 --> 0:46:16.040
<v Speaker 3>an all time high today. It is up forty five

0:46:16.120 --> 0:46:19.240
<v Speaker 3>percent year to date. Microsoft A lot of the reasons

0:46:19.239 --> 0:46:22.319
<v Speaker 3>why investors excitement over the company's outfront moves when it

0:46:22.360 --> 0:46:25.880
<v Speaker 3>comes to generative AI netnet. There is so much excitement

0:46:25.920 --> 0:46:28.960
<v Speaker 3>in the markets over AI and so this week's issue

0:46:28.960 --> 0:46:32.759
<v Speaker 3>Bloomberg Business Week really dedicated to big tech's market resurgence

0:46:32.840 --> 0:46:36.000
<v Speaker 3>thanks to these new and constantly improving machine learning tools.

0:46:36.000 --> 0:46:37.880
<v Speaker 3>So who's actually in the pack when it comes to

0:46:37.880 --> 0:46:41.000
<v Speaker 3>the rapidly expanding AI hype cycle. Yes, it's Microsoft. So

0:46:41.080 --> 0:46:43.080
<v Speaker 3>let's get to it and let's bring in Business Week

0:46:43.160 --> 0:46:46.840
<v Speaker 3>editor Joel Weber, calumnist for the magazine, Max Chaffman Chaffkin,

0:46:46.920 --> 0:46:48.520
<v Speaker 3>Excuse me, I always do that to you. Why do

0:46:48.600 --> 0:46:51.280
<v Speaker 3>I do that? Obviously I need help.

0:46:52.000 --> 0:46:53.800
<v Speaker 5>It's that human touch that you're providing.

0:46:54.719 --> 0:46:58.640
<v Speaker 3>Max Chafkin and Bloomberg News Seattle bureau chief Dina Bess

0:46:58.719 --> 0:47:01.800
<v Speaker 3>Joela Max in studio Dina on zoom and Seattle. This

0:47:01.840 --> 0:47:04.759
<v Speaker 3>story also Bloomberg's Big Take, and it's in the new

0:47:04.760 --> 0:47:07.719
<v Speaker 3>issue of Bloomberg Business Week, on newsstands, online, and on

0:47:07.800 --> 0:47:11.680
<v Speaker 3>the Bloomberg terminal. So, Jill, Microsoft's kind of cool again.

0:47:12.239 --> 0:47:16.200
<v Speaker 8>Yeah. The way that we've been talking about this is

0:47:16.200 --> 0:47:21.400
<v Speaker 8>that Microsoft strikes back and Microsoft has been really, uh

0:47:21.840 --> 0:47:25.480
<v Speaker 8>not a cool company h for a really long time.

0:47:25.800 --> 0:47:30.279
<v Speaker 8>We've We've covered before how it became an absolute juggernaut

0:47:30.480 --> 0:47:34.960
<v Speaker 8>in the cloud space and that was really a Sachi

0:47:35.000 --> 0:47:39.040
<v Speaker 8>a Della move, and what we've seen recently this year

0:47:39.440 --> 0:47:45.000
<v Speaker 8>ultimately has been this emergence, this unexpected move where they

0:47:45.120 --> 0:47:48.440
<v Speaker 8>showed just how strong of a hand they had in

0:47:48.480 --> 0:47:52.080
<v Speaker 8>the AI space, largely because of their investment in open ai.

0:47:53.000 --> 0:47:55.120
<v Speaker 8>And what Max and Dina managed to do here is

0:47:55.400 --> 0:48:00.239
<v Speaker 8>to show us how this this unlikely dominant place where

0:48:00.280 --> 0:48:03.359
<v Speaker 8>it came from. And so Dina, I'm curious, let's start

0:48:03.400 --> 0:48:08.440
<v Speaker 8>with you. What was the moment here that you that

0:48:08.520 --> 0:48:11.560
<v Speaker 8>you learned that you know, Microsoft has really been at

0:48:11.560 --> 0:48:14.160
<v Speaker 8>this AI stuff for a while, right, this is not

0:48:14.560 --> 0:48:17.640
<v Speaker 8>their first fora did they what were some of those

0:48:18.040 --> 0:48:19.080
<v Speaker 8>that about this.

0:48:19.040 --> 0:48:21.880
<v Speaker 15>For more than two decades? And I think you know,

0:48:22.360 --> 0:48:24.239
<v Speaker 15>some of the key moments that we talk about in

0:48:24.239 --> 0:48:27.799
<v Speaker 15>this story took place around twenty nineteen, when you know,

0:48:28.040 --> 0:48:31.880
<v Speaker 15>Satynadella and he had sort of deputized his CTO, Kevin

0:48:31.920 --> 0:48:34.960
<v Speaker 15>Scott and trying to figure out why all this AI

0:48:35.040 --> 0:48:37.840
<v Speaker 15>stuff they were doing wasn't really amounting new hill of beans.

0:48:37.880 --> 0:48:41.760
<v Speaker 15>And so you know, they simultaneously, almost or very shortly

0:48:41.760 --> 0:48:44.560
<v Speaker 15>one after the other, start you know two things. Kevin

0:48:44.560 --> 0:48:47.200
<v Speaker 15>Scott looks at what they're doing and realizes that it's

0:48:47.400 --> 0:48:50.479
<v Speaker 15>very diffuse. It's a bunch of interesting research at best,

0:48:50.520 --> 0:48:53.600
<v Speaker 15>it's not getting into products, it's not having company wide impact,

0:48:53.800 --> 0:48:55.719
<v Speaker 15>and he starts to take some steps to change that,

0:48:55.800 --> 0:48:59.560
<v Speaker 15>including having a personally approved resource allocation in the form

0:48:59.600 --> 0:49:03.080
<v Speaker 15>of AI chips for any AI product. At the same time,

0:49:03.320 --> 0:49:07.600
<v Speaker 15>Scott has been asked by Satyannadella to conduct talks with

0:49:07.719 --> 0:49:10.720
<v Speaker 15>open ai. Is Nadella and open Ai CEO Sam Altman

0:49:10.760 --> 0:49:13.839
<v Speaker 15>had a very informal conversation about, you know, we should

0:49:13.880 --> 0:49:15.879
<v Speaker 15>do something, and then they set Scott out to figure

0:49:15.880 --> 0:49:19.600
<v Speaker 15>out what that was. And so shortly after the internal

0:49:19.680 --> 0:49:22.960
<v Speaker 15>reforms that I just mentioned, Microsoft also announces that they're

0:49:22.960 --> 0:49:25.640
<v Speaker 15>putting one billion dollars into open ai and you know,

0:49:25.680 --> 0:49:27.480
<v Speaker 15>and there's been twelve billion more since then.

0:49:27.600 --> 0:49:28.600
<v Speaker 2>And what that amounts to.

0:49:28.640 --> 0:49:31.040
<v Speaker 15>Is that Microsoft, for pretty much the first time in history,

0:49:31.120 --> 0:49:35.759
<v Speaker 15>is basically outsourced, you know, the underlying technology for one

0:49:35.800 --> 0:49:39.160
<v Speaker 15>of the biggest platform shifts you know, in its history

0:49:39.400 --> 0:49:42.120
<v Speaker 15>to another company, which is just huge for Microsoft.

0:49:42.840 --> 0:49:45.719
<v Speaker 6>So score well, I have to say when I read

0:49:45.719 --> 0:49:48.640
<v Speaker 6>this story for the first time, and Carol, you and

0:49:48.719 --> 0:49:51.960
<v Speaker 6>I have been watching Microsoft stock for twenty five years together,

0:49:52.200 --> 0:49:53.200
<v Speaker 6>for the first time.

0:49:53.120 --> 0:49:54.640
<v Speaker 8>Is that true? Twenty five years together?

0:49:54.760 --> 0:49:55.000
<v Speaker 11>Yeah?

0:49:55.120 --> 0:49:55.359
<v Speaker 8>Wow?

0:49:55.440 --> 0:49:55.640
<v Speaker 11>Yeah?

0:49:55.719 --> 0:49:58.759
<v Speaker 6>For the first time I understood how the cloud business

0:49:58.800 --> 0:50:02.759
<v Speaker 6>and Windows and I never understood Get Hub or the

0:50:02.760 --> 0:50:05.080
<v Speaker 6>Open Eye investment. Now I get how they all fit

0:50:05.160 --> 0:50:08.960
<v Speaker 6>together really well to form, uh, to make a buttload

0:50:08.960 --> 0:50:12.560
<v Speaker 6>of money. As I think you guys wrote, right, tell

0:50:12.640 --> 0:50:15.759
<v Speaker 6>us Max, the potential of these the sort of co

0:50:15.960 --> 0:50:18.200
<v Speaker 6>pilots that they're now releasing, right.

0:50:18.080 --> 0:50:20.799
<v Speaker 16>So a lot of the kind of when you've been

0:50:20.800 --> 0:50:23.480
<v Speaker 16>sort of following the popular press on AI, right, a

0:50:23.520 --> 0:50:26.600
<v Speaker 16>lot of it is focused on like will computers replace humans?

0:50:26.600 --> 0:50:28.080
<v Speaker 16>Are they going to take over the world? Are they

0:50:28.120 --> 0:50:30.399
<v Speaker 16>gonna are are they going to like usher in some

0:50:30.520 --> 0:50:34.600
<v Speaker 16>crazy science fiction future? And at Microsoft, you know, as

0:50:34.640 --> 0:50:37.120
<v Speaker 16>Nan and I heard when we you know, spend time

0:50:37.120 --> 0:50:39.120
<v Speaker 16>talking to the company, right, they're not thinking about it

0:50:39.120 --> 0:50:41.600
<v Speaker 16>that way, really, I mean they are, but the but

0:50:41.719 --> 0:50:45.040
<v Speaker 16>the more immediate concern is basically, how do we plug

0:50:45.239 --> 0:50:51.000
<v Speaker 16>this software into these incredibly lucrative, not necessarily beloved, but

0:50:51.239 --> 0:50:54.000
<v Speaker 16>very widely used apps. You know, the probably the best

0:50:54.080 --> 0:50:56.680
<v Speaker 16>known ones are the office apps, Word Excel.

0:50:56.640 --> 0:50:57.200
<v Speaker 5>And so on.

0:50:57.600 --> 0:51:02.600
<v Speaker 16>And you know, Microsoft is so good at extracting revenue

0:51:02.719 --> 0:51:04.800
<v Speaker 16>from software, from very expensive software.

0:51:04.840 --> 0:51:06.239
<v Speaker 2>It's something like four hundred.

0:51:05.960 --> 0:51:10.400
<v Speaker 16>Million people pay for Office, which is now called Microsoft

0:51:10.440 --> 0:51:14.759
<v Speaker 16>three sixty five. But the idea here is that they're

0:51:14.760 --> 0:51:18.160
<v Speaker 16>going to charge users between say ten and twenty dollars

0:51:18.200 --> 0:51:20.920
<v Speaker 16>a month. These these are not official numbers. These are

0:51:20.960 --> 0:51:23.319
<v Speaker 16>numbers that you know that that are basically our best

0:51:23.360 --> 0:51:26.960
<v Speaker 16>gas based on a reporting, and that's going to potentially

0:51:27.040 --> 0:51:30.759
<v Speaker 16>create just an enormous revenue opportunity where where you're able

0:51:30.800 --> 0:51:34.239
<v Speaker 16>to get something like forty percent more revenue out of

0:51:34.239 --> 0:51:37.680
<v Speaker 16>this product that already generates a ton of revenue. And

0:51:37.719 --> 0:51:40.720
<v Speaker 16>then on top of that, Microsoft has this cloud computing

0:51:41.040 --> 0:51:43.600
<v Speaker 16>business that Joel brought up, and because of the open

0:51:43.640 --> 0:51:47.440
<v Speaker 16>ai deal where they control This is underappreciated, but Microsoft

0:51:47.480 --> 0:51:51.480
<v Speaker 16>basically owns the computers that that open AI's chatbots are

0:51:51.520 --> 0:51:53.840
<v Speaker 16>run on. They're able to kind of rent that space

0:51:53.920 --> 0:51:56.760
<v Speaker 16>to open ai but also to other companies, and because

0:51:56.760 --> 0:51:58.760
<v Speaker 16>of that, they're in a really good position, a position

0:51:58.800 --> 0:52:00.719
<v Speaker 16>where like all of a sudden, you know, we've been

0:52:00.719 --> 0:52:02.680
<v Speaker 16>thinking about, Microsoft is kind of an also ran in

0:52:03.040 --> 0:52:05.680
<v Speaker 16>the in the cloud space, or maybe second place after Amazon,

0:52:05.880 --> 0:52:09.680
<v Speaker 16>where they could really threaten the other players on cloud

0:52:09.719 --> 0:52:11.560
<v Speaker 16>as well, and so that could be a huge amount

0:52:11.560 --> 0:52:11.799
<v Speaker 16>of money.

0:52:11.840 --> 0:52:15.640
<v Speaker 8>It's like an AI flywheel there thanks, right, we should.

0:52:15.800 --> 0:52:18.760
<v Speaker 15>Unless you think we're you know, we're calculating these numbers.

0:52:18.800 --> 0:52:22.320
<v Speaker 15>Run like on Monday, Microsoft CFO so that this AI

0:52:22.480 --> 0:52:25.680
<v Speaker 15>business is going to be their first you know, first business.

0:52:25.239 --> 0:52:26.600
<v Speaker 3>To ten billion dollars.

0:52:27.440 --> 0:52:29.560
<v Speaker 15>I don't completely know what that means because it's not

0:52:29.680 --> 0:52:32.280
<v Speaker 15>one business, as Max was just saying, some of its office,

0:52:32.320 --> 0:52:34.880
<v Speaker 15>some of it's azure, some of it's being but you know,

0:52:35.280 --> 0:52:38.120
<v Speaker 15>at minimum we know that what they're thinking about is

0:52:38.400 --> 0:52:40.560
<v Speaker 15>also in the many billions of dollars.

0:52:41.120 --> 0:52:43.920
<v Speaker 8>So the person, one of the people who was behind

0:52:43.960 --> 0:52:46.520
<v Speaker 8>the scenes at Microsoft here, you know, was Kevin Scott,

0:52:46.560 --> 0:52:49.319
<v Speaker 8>and I'm curious tell us more about his role in

0:52:49.360 --> 0:52:50.480
<v Speaker 8>this AI initiative.

0:52:50.840 --> 0:52:53.239
<v Speaker 15>Wait, so Kevin Scott is a really interesting person. First

0:52:53.239 --> 0:52:55.080
<v Speaker 15>of all, he is a very different background.

0:52:55.320 --> 0:52:57.560
<v Speaker 5>He's the chief technology by the way, Yeah, he's their.

0:52:57.480 --> 0:53:00.480
<v Speaker 15>Chief technology officer. He comes from Appalachia, very you know,

0:53:00.520 --> 0:53:02.880
<v Speaker 15>he's not a you know, he did not go to Stanford,

0:53:03.719 --> 0:53:07.480
<v Speaker 15>so a different different background. He basically, you know, comes

0:53:07.480 --> 0:53:10.920
<v Speaker 15>to Microsoft via the open A excuse me, the LinkedIn acquisition.

0:53:10.960 --> 0:53:12.600
<v Speaker 15>They did not acquire open a. I a little bit

0:53:12.640 --> 0:53:15.440
<v Speaker 15>of a Freudian slip there. So he comes to the

0:53:15.520 --> 0:53:20.719
<v Speaker 15>Microsoft via LinkedIn, and almost immediately Satianadella names him chief

0:53:20.719 --> 0:53:24.480
<v Speaker 15>technology Officer. He's, you know, his interesting background. He spent

0:53:24.560 --> 0:53:25.640
<v Speaker 15>a bunch of time at Google.

0:53:26.120 --> 0:53:26.239
<v Speaker 13>Uh.

0:53:26.480 --> 0:53:29.440
<v Speaker 15>He knows Sam Altman for many, many years, and so

0:53:29.480 --> 0:53:31.600
<v Speaker 15>he has a he has an interesting perspective. And it's

0:53:31.680 --> 0:53:35.120
<v Speaker 15>not a redmand Washington, Microsoft headquarters perspective. It's a Silicon

0:53:35.200 --> 0:53:38.040
<v Speaker 15>value perspective. And so he gets put in charge of

0:53:38.120 --> 0:53:41.480
<v Speaker 15>coming up with a way to rationalize Microsoft AI business,

0:53:41.480 --> 0:53:44.319
<v Speaker 15>make it more impactful, make it add up to you know,

0:53:44.440 --> 0:53:47.400
<v Speaker 15>a much more significant thing. And Nadela also puts him

0:53:47.440 --> 0:53:50.000
<v Speaker 15>in charge of the relationship with Open Ai. So he

0:53:50.080 --> 0:53:52.000
<v Speaker 15>ends up being the goal between and you know, and

0:53:52.080 --> 0:53:55.000
<v Speaker 15>still is uh. And you know, he had to figure out,

0:53:55.440 --> 0:53:57.880
<v Speaker 15>you know, how to balance those things because of course,

0:53:58.239 --> 0:54:02.080
<v Speaker 15>you know, he while he's putting more constraints on the

0:54:02.160 --> 0:54:06.279
<v Speaker 15>quality and quantity of Microsoft's internal AI work, he's you know,

0:54:06.360 --> 0:54:09.839
<v Speaker 15>giving a lot of money, you know, to to Open AI.

0:54:10.000 --> 0:54:12.640
<v Speaker 15>And you know, we reported some people inside Microsoft were

0:54:12.640 --> 0:54:15.440
<v Speaker 15>not super comfortable with that. They felt like, you know,

0:54:15.560 --> 0:54:18.160
<v Speaker 15>perhaps we could do this here. We we love that money,

0:54:18.160 --> 0:54:20.520
<v Speaker 15>we could do this in house. And you know, it

0:54:20.640 --> 0:54:23.359
<v Speaker 15>was a huge change for Microsoft is a huge change

0:54:23.400 --> 0:54:27.319
<v Speaker 15>for Nedella to rely on an outside party for this

0:54:27.440 --> 0:54:27.919
<v Speaker 15>kind of work.

0:54:28.200 --> 0:54:30.640
<v Speaker 3>I'm so glad Bill Gates was like in it from

0:54:30.680 --> 0:54:33.240
<v Speaker 3>the get go. So Max talked to us about Gates

0:54:33.239 --> 0:54:34.920
<v Speaker 3>because he wasn't on board initially.

0:54:35.200 --> 0:54:37.080
<v Speaker 16>Yeah, And I mean it's pretty interesting because you know,

0:54:37.120 --> 0:54:40.839
<v Speaker 16>Gates has sort of been out of Microsoft in most

0:54:40.920 --> 0:54:44.600
<v Speaker 16>official capacities since twenty twenty when he left the board,

0:54:45.239 --> 0:54:46.960
<v Speaker 16>but he has continued, as we write in the stories,

0:54:47.000 --> 0:54:50.560
<v Speaker 16>continue to advise company and on AI. You know, they

0:54:50.880 --> 0:54:53.239
<v Speaker 16>listened to him because because this is an area of

0:54:53.239 --> 0:54:56.520
<v Speaker 16>interest for Gates, and Gates you know, was against the

0:54:56.560 --> 0:54:58.800
<v Speaker 16>open Ai deal, the original deal, the one that Dina

0:54:58.840 --> 0:55:02.040
<v Speaker 16>mentioned for a billion dollars. And as Microsoft sort of

0:55:03.080 --> 0:55:06.040
<v Speaker 16>started as things started to pick up momentum and and

0:55:06.120 --> 0:55:09.240
<v Speaker 16>Microsoft is starting to think about like incorporating these chatbots

0:55:09.280 --> 0:55:12.520
<v Speaker 16>into products, Gates was against it, and as Sam Altman

0:55:12.560 --> 0:55:15.040
<v Speaker 16>and and and the Open Ai team essentially had to

0:55:15.080 --> 0:55:18.320
<v Speaker 16>win him over. In this like presentation at Bill Gates's house,

0:55:18.400 --> 0:55:22.560
<v Speaker 16>they they showed off basically a version of the kind

0:55:22.560 --> 0:55:24.319
<v Speaker 16>of chatbot that we all saw, but it was with

0:55:24.440 --> 0:55:29.959
<v Speaker 16>the more advanced UH technology behind at GPT four and Uh,

0:55:30.000 --> 0:55:32.759
<v Speaker 16>they showed they proved to Bill Gates, or or they

0:55:32.840 --> 0:55:36.520
<v Speaker 16>believe they proved. They showed what they said was the

0:55:36.640 --> 0:55:40.200
<v Speaker 16>chatbot passing the ap bio exam, which was the the

0:55:40.239 --> 0:55:44.120
<v Speaker 16>bar that Bill Gates had had set for the company.

0:55:44.160 --> 0:55:46.680
<v Speaker 16>And and and kind of once they did that, once

0:55:46.719 --> 0:55:49.000
<v Speaker 16>they had this kind of clear the hurdle with Gates,

0:55:49.200 --> 0:55:51.960
<v Speaker 16>Microsoft went full steam and people, people forget this all

0:55:51.960 --> 0:55:55.000
<v Speaker 16>happened very quickly. That that meeting was in you know,

0:55:55.120 --> 0:55:58.560
<v Speaker 16>last summer, and and and the Being thing, the the

0:55:58.560 --> 0:56:00.799
<v Speaker 16>the original being thing was only in February. And since then,

0:56:00.840 --> 0:56:03.160
<v Speaker 16>you know, they've they've added it to basically like every

0:56:03.239 --> 0:56:05.800
<v Speaker 16>product in their portfolio. Some of these are not public

0:56:05.880 --> 0:56:08.560
<v Speaker 16>yet there's still pilots or whatever, but it's basically coming

0:56:08.719 --> 0:56:13.319
<v Speaker 16>across the board. You know, risks complaints from ethesis all

0:56:13.320 --> 0:56:14.000
<v Speaker 16>that be damned.

0:56:14.239 --> 0:56:17.400
<v Speaker 8>Okay, so you hit on the ethical thing there. We

0:56:17.960 --> 0:56:19.400
<v Speaker 8>I think all of us have spent a lot of

0:56:19.400 --> 0:56:24.200
<v Speaker 8>time already talking about some of this. But the Prometheus bit,

0:56:24.360 --> 0:56:26.480
<v Speaker 8>let's talk about that one.

0:56:26.880 --> 0:56:27.360
<v Speaker 3>Yeah, come on.

0:56:27.440 --> 0:56:31.400
<v Speaker 15>Indeed, So Prometheus was the code name for the underlying

0:56:31.520 --> 0:56:33.920
<v Speaker 15>model and the big bot, so the big chatbot, and

0:56:34.040 --> 0:56:36.360
<v Speaker 15>you know, when they announced it in February. I was

0:56:36.440 --> 0:56:39.040
<v Speaker 15>kind of a little bit ranty at the event because

0:56:39.040 --> 0:56:41.719
<v Speaker 15>I thought it was a really interesting code name choice,

0:56:41.760 --> 0:56:44.560
<v Speaker 15>because you know, on the one hand, you know, Prometheus

0:56:44.600 --> 0:56:47.640
<v Speaker 15>is the one who brings fire to humankind and and

0:56:47.719 --> 0:56:49.560
<v Speaker 15>you know, dramatically changes.

0:56:49.440 --> 0:56:50.720
<v Speaker 3>The future of human history.

0:56:50.760 --> 0:56:53.800
<v Speaker 15>So you can see Microsoft, you know, and opening it

0:56:53.920 --> 0:56:56.800
<v Speaker 15>to some extent perhaps seeing this this work is bringing

0:56:56.840 --> 0:57:00.600
<v Speaker 15>this new superpower to humans. But you know, Prometheus punished

0:57:00.640 --> 0:57:03.160
<v Speaker 15>for it, right you know, he's you know, has his

0:57:03.239 --> 0:57:06.000
<v Speaker 15>livery eaten every day. And so I thought it was

0:57:06.040 --> 0:57:09.320
<v Speaker 15>such an interesting quandary of you know, is this a superpower,

0:57:10.080 --> 0:57:12.480
<v Speaker 15>is this a good thing that we're bringing it to humankind,

0:57:12.600 --> 0:57:15.560
<v Speaker 15>or is it something that maybe you know, humans shouldn't

0:57:15.560 --> 0:57:17.720
<v Speaker 15>be playing with, or that you know, are we you know,

0:57:17.880 --> 0:57:20.480
<v Speaker 15>are we you know, opening up, you know, to grab

0:57:20.520 --> 0:57:22.640
<v Speaker 15>another Greek metaphor of Pandora's box In some way, I

0:57:22.640 --> 0:57:24.760
<v Speaker 15>thought it was a very interesting metaphor for you know,

0:57:25.040 --> 0:57:27.360
<v Speaker 15>for them to grab that particular code that took me

0:57:27.400 --> 0:57:28.000
<v Speaker 15>back to school.

0:57:28.040 --> 0:57:28.200
<v Speaker 2>Man.

0:57:28.360 --> 0:57:31.800
<v Speaker 6>This is, by the way, when Reto Grigory hired me

0:57:31.840 --> 0:57:33.600
<v Speaker 6>in nineteen ninety nine, one of the first things he

0:57:33.680 --> 0:57:37.320
<v Speaker 6>taught me was don't buy into the pr jargon, right,

0:57:37.400 --> 0:57:40.960
<v Speaker 6>They're trying to spin the story by using phrases, and

0:57:41.000 --> 0:57:44.000
<v Speaker 6>I wonder if we're doing that essentially when we call

0:57:44.040 --> 0:57:47.200
<v Speaker 6>it artificial intelligence. Parmie Olsen wrote a great I think

0:57:47.240 --> 0:57:52.200
<v Speaker 6>piece a couple months back saying calling it artificial intelligence

0:57:52.360 --> 0:57:56.760
<v Speaker 6>basically abdicates them, you know, the Elon Musk's or the

0:57:56.760 --> 0:57:59.480
<v Speaker 6>Sam Altman's of the world, of responsibility for when this

0:58:00.080 --> 0:58:04.760
<v Speaker 6>software program starts doing bad things like you know, uh

0:58:04.840 --> 0:58:09.800
<v Speaker 6>possibly yeah, well like potentially, like I think Dina pointed out,

0:58:09.840 --> 0:58:14.280
<v Speaker 6>you know, it could be used to bar certain groups

0:58:14.280 --> 0:58:17.000
<v Speaker 6>from getting mortgages or give them higher prices.

0:58:17.120 --> 0:58:19.280
<v Speaker 15>You know, it could it is already doing. That's I

0:58:19.280 --> 0:58:22.000
<v Speaker 15>think to me, this is the formulation. Right, So we

0:58:22.040 --> 0:58:25.600
<v Speaker 15>are now whether it's artificial intelligence, you know, a term

0:58:25.640 --> 0:58:28.240
<v Speaker 15>that's you know, even older than Microsoft word and work

0:58:28.280 --> 0:58:29.600
<v Speaker 15>in the field, and we're going back to the you know,

0:58:29.640 --> 0:58:32.400
<v Speaker 15>the sixties and for some of this, but we are

0:58:32.480 --> 0:58:36.800
<v Speaker 15>now seeing people including Elon Musk, including you know, Jeff Hinton,

0:58:37.000 --> 0:58:39.760
<v Speaker 15>you know, one of the founders of the current generation

0:58:39.840 --> 0:58:42.800
<v Speaker 15>of technology that we're working on, talking about these existential

0:58:42.920 --> 0:58:46.439
<v Speaker 15>questions these Sam Altman as well extinction, things like that,

0:58:46.920 --> 0:58:49.560
<v Speaker 15>and the focus at this point, it's sucking all the

0:58:49.560 --> 0:58:51.240
<v Speaker 15>air out of the room. We're not talking about the

0:58:51.320 --> 0:58:53.800
<v Speaker 15>harms that these systems, and I'm not talking about being

0:58:53.840 --> 0:58:55.320
<v Speaker 15>I'm talking about systems that have been around for a

0:58:55.320 --> 0:58:58.600
<v Speaker 15>couple of years. These systems already cause harm to people.

0:58:58.600 --> 0:59:01.600
<v Speaker 15>They're already mortgage algorithms. We can argue which ones are

0:59:01.680 --> 0:59:05.760
<v Speaker 15>artificial intelligence and which ones aren't, but they do not equitably,

0:59:06.040 --> 0:59:10.240
<v Speaker 15>you know, give people mortgages. There underrepresented populations, certain zip

0:59:10.240 --> 0:59:12.880
<v Speaker 15>codes that are disadvantaged by that. You know, we've talked

0:59:12.880 --> 0:59:14.840
<v Speaker 15>in the past on this program. We talked last week

0:59:14.880 --> 0:59:18.560
<v Speaker 15>about bias in image recognition and policing. There are already

0:59:18.640 --> 0:59:21.280
<v Speaker 15>harms before you go to the hey, we're we end

0:59:21.360 --> 0:59:22.480
<v Speaker 15>up extate.

0:59:23.320 --> 0:59:25.600
<v Speaker 16>And it's but it's great marketing, and I think that's

0:59:25.640 --> 0:59:26.920
<v Speaker 16>part of one of well, it's one of the reasons

0:59:26.920 --> 0:59:30.080
<v Speaker 16>they love talking about the apocalyptic stuff because if it's

0:59:30.080 --> 0:59:32.480
<v Speaker 16>going to cause an apocalypse, that means it's working, right,

0:59:32.560 --> 0:59:33.880
<v Speaker 16>and it assumes that it's working.

0:59:33.960 --> 0:59:36.360
<v Speaker 8>Sure, I'll give you my favorite part of the story

0:59:36.400 --> 0:59:40.320
<v Speaker 8>to as we wrap here, which is Microsoft executive saying

0:59:40.840 --> 0:59:42.520
<v Speaker 8>this is a little bit like our Windows ninety five

0:59:42.560 --> 0:59:44.880
<v Speaker 8>moment is just to bring it back of like how

0:59:44.920 --> 0:59:45.960
<v Speaker 8>nerdy Microsoft can be.

0:59:46.160 --> 0:59:48.280
<v Speaker 3>Check out the new issue of BusinessWeek. It's a killer.

0:59:48.360 --> 0:59:49.160
<v Speaker 3>This is Bloomberg.

0:59:49.680 --> 0:59:53.160
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. That's just

0:59:53.280 --> 0:59:56.960
<v Speaker 1>live weekdays from two to five pm Easter on Bloomberg Radio,

0:59:57.160 --> 1:00:00.440
<v Speaker 1>the Bloomberg Business app and YouTube. You can also listen

1:00:00.560 --> 1:00:04.080
<v Speaker 1>live to our flagship New York station Just say Alexa

1:00:04.280 --> 1:00:05.160
<v Speaker 1>play Bloomberg.

1:00:05.200 --> 1:00:05.960
<v Speaker 5>You love and Turty.

1:00:11.360 --> 1:00:14.120
<v Speaker 8>I'm kicking what they gave in because I'm working for them.

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<v Speaker 6>All right, we are, We've arrived at that point in

1:00:22.280 --> 1:00:24.400
<v Speaker 6>my day. I have say it's my favorite point of

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<v Speaker 6>the show. And we talk about one story from the

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<v Speaker 6>Business business Week magazine. This is going to be the

1:00:32.160 --> 1:00:36.600
<v Speaker 6>forthcoming issue of BusinessWeek magazine, and we typically talk to

1:00:36.680 --> 1:00:38.720
<v Speaker 6>Joel Weber, the editor in chief, as well as the

1:00:38.760 --> 1:00:41.400
<v Speaker 6>author of the story. We're fortunate enough to have Ellen

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<v Speaker 6>Hewitt with us right now. She wrote the Layoffs and

1:00:46.000 --> 1:00:49.920
<v Speaker 6>AI are Changing text once invincible job market story, and Ellen,

1:00:49.960 --> 1:00:53.640
<v Speaker 6>I thought it was a fantastic job of reporting and

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<v Speaker 6>a little bit of a bummer.

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<v Speaker 5>Right because I.

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<v Speaker 6>Had thought as well as probably many of the kids

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<v Speaker 6>graduating college today that if you learn to code and

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<v Speaker 6>you're like halfway good at it, then your set for

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<v Speaker 6>a sweet job in Silicon Valley for like the rest

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<v Speaker 6>of your life. And it now seems that's no longer

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<v Speaker 6>the case.

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<v Speaker 10>Yeah, I mean, this is kind of the big mood

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<v Speaker 10>shift in Silicon Valley, which is the learning to code

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<v Speaker 10>is not a guarantee of amazing forever employment anymore. To

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<v Speaker 10>be clear, there's still a lot of people who want

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<v Speaker 10>to hire software engineers, especially firms that are outside of tech,

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<v Speaker 10>like in healthcare and finance. They're definitely looking for coders.

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<v Speaker 10>But there is this noticeable shift that people are experiencing,

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<v Speaker 10>which is this once infinite fountain of high paying jobs

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<v Speaker 10>where you know, companies were just always always hiring, that's

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<v Speaker 10>not happening anymore.

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<v Speaker 6>One thing I saw is that there have been two

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<v Speaker 6>hundred thousand layoffs in tech this year. You found a

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<v Speaker 6>website that essentially aggregates all of the layoffs, but eighty

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<v Speaker 6>thousand of those happened in January. So what I'm wondering is,

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<v Speaker 6>are the layoffs kind of slowing down? Does it look

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<v Speaker 6>like maybe it's not as bad as it was at

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<v Speaker 6>the start of the year.

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<v Speaker 10>Now, Yes, that's definitely what the numbers are showing, so

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<v Speaker 10>our in our story. We have a wonderful chart. This

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<v Speaker 10>data comes from layoffs at fyi, which is a hilarious site,

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<v Speaker 10>very well run by just a startup founder who started

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<v Speaker 10>during COVID collecting layoff numbers and putting them in this

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<v Speaker 10>wonderful data website. So you see a bit of a

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<v Speaker 10>peak right after the start of a pandemic, and then

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<v Speaker 10>a drop, and then it really started to pick up

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<v Speaker 10>mid last year and peaked in January, and now it's

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<v Speaker 10>actually leveling out. So probably it seems like the worst

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<v Speaker 10>is behind us, but it definitely has. You know, the

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<v Speaker 10>repercussions of this are going to be felt for a

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<v Speaker 10>very long time.

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<v Speaker 8>What I was, what I've been thinking about ever since

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<v Speaker 8>it felt like there was this real major mood shift,

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<v Speaker 8>was just what that what that feels like in the valley? Ellen,

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<v Speaker 8>And I'm curious, like being there feeling like you could

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<v Speaker 8>do anything you wanted forever. How are from the sources

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<v Speaker 8>you spoke with, how is that manifesting itself? This decision?

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<v Speaker 10>Yeah, mood all sorts of ways. I mean, everyone knows,

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<v Speaker 10>you know, a lot of people are just getting laid off,

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<v Speaker 10>you know, in the way that people you know, generally

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<v Speaker 10>you might have expected that recruiters or people who work

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<v Speaker 10>in sales might be the first to go. This time,

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<v Speaker 10>it's like senior engineers have worked at firms like Google

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<v Speaker 10>for ten or fifteen years are getting laid off. And

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<v Speaker 10>there are people who I know who just, yeah, I've

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<v Speaker 10>worked at a company for you know, worked at Facebook

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<v Speaker 10>for ten years, and are getting laid off and feeling

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<v Speaker 10>this sense that you know, I also have a friend

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<v Speaker 10>who considered leaving her job, but then was like, I

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<v Speaker 10>just don't think I'm going to get another good one

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<v Speaker 10>right now, so I'm going to stay at this job

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<v Speaker 10>that I don't super like. It's just this kind of

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<v Speaker 10>feeling that is suffusing everywhere in the industry. And then,

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<v Speaker 10>you know, we had this wonderful conversation with this new

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<v Speaker 10>grad Dylan, who just graduated from Cornell with a CS degree,

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<v Speaker 10>had interned at all these great places Google, Facebook, Stripe, Figma,

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<v Speaker 10>and had a Google off and then it was rescinded.

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<v Speaker 10>And it's just this sense that this dependable thing isn't

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<v Speaker 10>happening anymore, and you see it making people nervous, You

1:04:08.920 --> 1:04:11.440
<v Speaker 10>make you see them nervous to switch jobs or just

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<v Speaker 10>like you know, looking for jobs and not finding what

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<v Speaker 10>they want. And there's actually a pretty sense, you know,

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<v Speaker 10>a pretty big sense of fear among some people. Like Dylan. Again,

1:04:21.360 --> 1:04:23.120
<v Speaker 10>this new grad was talking about how some of his

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<v Speaker 10>peers are accepting multiple job offers because they're concerned that

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<v Speaker 10>one of them is going to get rescinded, and they

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<v Speaker 10>have reason to believe.

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<v Speaker 2>That it might.

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<v Speaker 8>That new grad phenomenon is the one that I find

1:04:34.880 --> 1:04:39.040
<v Speaker 8>most interesting, because these were the people like you were

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<v Speaker 8>just they were just getting swept up and money thrown

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<v Speaker 8>at them. And especially like in Dylan's case, he had

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<v Speaker 8>multiple internships at all the blue chip places. There's this

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<v Speaker 8>helpless quality that it must feel like to be in

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<v Speaker 8>that twenty something age. Ellen, And I'm curious when you

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<v Speaker 8>who's the most freaked out. The twenty somethings are the

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<v Speaker 8>people who been in the industry for a little bit

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<v Speaker 8>and have you know, weather changed before.

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<v Speaker 10>I mean, they're freaked out in different ways. The twenty

1:05:06.080 --> 1:05:08.760
<v Speaker 10>somethings are like, wow, I really thought that I was

1:05:08.800 --> 1:05:12.200
<v Speaker 10>picking the most obvious, most stable, most high paying career,

1:05:12.920 --> 1:05:15.360
<v Speaker 10>and now it's none of those things. Or I might

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<v Speaker 10>have to struggle to get a job. Meanwhile, you know,

1:05:18.000 --> 1:05:21.440
<v Speaker 10>I talked to someone who's telling me stories about peers

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<v Speaker 10>of his who are maybe in their forties or fifties,

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<v Speaker 10>who have worked in Silicon Valley during these boom times,

1:05:26.320 --> 1:05:28.560
<v Speaker 10>have gotten used to incredibly high cost of living in

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<v Speaker 10>places like New York and San Francisco, and are now

1:05:31.040 --> 1:05:34.479
<v Speaker 10>accustomed to a standard of living that may no longer

1:05:34.520 --> 1:05:37.280
<v Speaker 10>be accessible to them. Like I talked to a VC

1:05:37.400 --> 1:05:39.040
<v Speaker 10>who said his friend who had been laid off was

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<v Speaker 10>looking for a new job and his minimum salary requirement

1:05:42.320 --> 1:05:44.640
<v Speaker 10>was six hundred thousand dollars, and he was just like that,

1:05:44.760 --> 1:05:47.160
<v Speaker 10>you may not be able to find that anymore. And

1:05:47.640 --> 1:05:48.960
<v Speaker 10>if you're used, you know, if you have kids in

1:05:48.960 --> 1:05:52.120
<v Speaker 10>private school, like you get these golden handcuffs, and those

1:05:52.120 --> 1:05:55.280
<v Speaker 10>people are scared too. I think they're experiencing a shift

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<v Speaker 10>in what they expected would be available.

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<v Speaker 6>Well, the thing is, ellen, if you need to charge

1:06:00.160 --> 1:06:03.040
<v Speaker 6>a jet for a fishing trip in Alaska, you know

1:06:03.120 --> 1:06:04.560
<v Speaker 6>that's not cheap anymore.

1:06:05.200 --> 1:06:07.400
<v Speaker 8>Yeah, it was never yeah, but now it's really not.

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<v Speaker 10>I really did appreciate. You know, there's a wonderful part

1:06:11.760 --> 1:06:13.720
<v Speaker 10>in the story where yeah, we kind of reminisce about

1:06:13.760 --> 1:06:16.120
<v Speaker 10>what the boom times looked like in Silicon Valley in

1:06:16.160 --> 1:06:18.400
<v Speaker 10>the mid twenty tens. It was out of control, right,

1:06:18.520 --> 1:06:21.160
<v Speaker 10>We're talking about perks and salaries and stock grants and

1:06:21.360 --> 1:06:24.280
<v Speaker 10>these kinds of things that were you know, these companies Facebook, Google,

1:06:24.320 --> 1:06:26.520
<v Speaker 10>they were just throwing money at their employees. In fact,

1:06:26.520 --> 1:06:30.720
<v Speaker 10>they would often hire promising workers simply to have them

1:06:31.000 --> 1:06:33.400
<v Speaker 10>kind of in their corner without a specific job for them.

1:06:33.400 --> 1:06:35.160
<v Speaker 10>So again I talked to this PC who had been

1:06:35.320 --> 1:06:38.000
<v Speaker 10>a product manager at Instagram in twenty fourteen when it

1:06:38.040 --> 1:06:40.440
<v Speaker 10>was owned by Facebook, and he said he was hired

1:06:41.000 --> 1:06:43.320
<v Speaker 10>as a product manager. He didn't have a job yet.

1:06:43.360 --> 1:06:46.920
<v Speaker 10>He was like going to be assigned to a team,

1:06:47.000 --> 1:06:52.280
<v Speaker 10>but just spent three months getting trained, spending an hour

1:06:52.440 --> 1:06:54.880
<v Speaker 10>every morning reading a novel over breakfast, and then having

1:06:54.960 --> 1:06:56.600
<v Speaker 10>some casual meetings. And then at the end of the

1:06:56.600 --> 1:06:59.680
<v Speaker 10>three months he was finally assigned a job. But he

1:06:59.720 --> 1:07:02.320
<v Speaker 10>spent you know, and knew of people who had been

1:07:02.560 --> 1:07:06.280
<v Speaker 10>hired just so that they wouldn't go work at a rival.

1:07:06.840 --> 1:07:10.440
<v Speaker 10>And that was that sense of money that really created

1:07:10.520 --> 1:07:12.880
<v Speaker 10>Silicon Valley for more than a decade.

1:07:12.960 --> 1:07:16.040
<v Speaker 17>It sounds like sorry, Ellen, it just sounds like another

1:07:16.120 --> 1:07:20.480
<v Speaker 17>one of those things that goes away, and when we

1:07:20.480 --> 1:07:23.800
<v Speaker 17>don't have a zero interest rate environment, you get less

1:07:23.800 --> 1:07:25.600
<v Speaker 17>of that kind of just getting brought on.

1:07:27.200 --> 1:07:27.560
<v Speaker 8>Everything.

1:07:28.080 --> 1:07:29.240
<v Speaker 5>I mean, that's a great.

1:07:29.320 --> 1:07:32.400
<v Speaker 17>Actually, yeah, I'm just being smart, you know what I mean.

1:07:32.480 --> 1:07:36.720
<v Speaker 17>But one thing that I'm curious about too is whether

1:07:36.880 --> 1:07:41.840
<v Speaker 17>these companies are sort of blaming AI to be able

1:07:41.920 --> 1:07:45.440
<v Speaker 17>to fire or lay off their employees and to kind

1:07:45.480 --> 1:07:47.200
<v Speaker 17>of get away with it. Yeah, did you did you

1:07:47.240 --> 1:07:48.200
<v Speaker 17>find that in your reporting?

1:07:48.960 --> 1:07:51.880
<v Speaker 10>There's definitely a sense that AI is like the idea

1:07:51.960 --> 1:07:53.640
<v Speaker 10>of the day, and so people are pointing to it

1:07:53.640 --> 1:07:56.840
<v Speaker 10>for different reasons, one of which is, yes, there are

1:07:56.840 --> 1:07:58.640
<v Speaker 10>some CEOs who over hired at the beginning of the

1:07:58.680 --> 1:08:00.320
<v Speaker 10>pandemic when it looked like tech was going to have

1:08:00.360 --> 1:08:03.800
<v Speaker 10>this boom time. Now they're seeing that that boom time

1:08:03.840 --> 1:08:05.600
<v Speaker 10>is not around, they're going to lay people off, and

1:08:05.640 --> 1:08:09.480
<v Speaker 10>they're citing not necessarily AI taking jobs, but just the

1:08:09.680 --> 1:08:12.640
<v Speaker 10>need to maybe realign the company in order to be

1:08:12.640 --> 1:08:15.040
<v Speaker 10>able to focus on AI, which then means that they

1:08:15.040 --> 1:08:16.800
<v Speaker 10>can cut some jobs. So it's a bit of a

1:08:16.800 --> 1:08:19.200
<v Speaker 10>face saving thing. It may also be a real thing

1:08:19.280 --> 1:08:22.080
<v Speaker 10>that companies are investing more energy into it. Of course,

1:08:22.080 --> 1:08:24.599
<v Speaker 10>in our story we also talked about how AI and

1:08:24.760 --> 1:08:29.400
<v Speaker 10>machine learning specialists in software engineering are getting paid twelve

1:08:29.439 --> 1:08:32.439
<v Speaker 10>percent on average more than other senior software engineers. There

1:08:32.520 --> 1:08:34.839
<v Speaker 10>is genuinely a desire to hire these types of people.

1:08:35.640 --> 1:08:38.559
<v Speaker 10>AI is not replacing jobs yet, but there is this

1:08:38.920 --> 1:08:41.400
<v Speaker 10>feeling that it's going to shake things up, and that

1:08:41.400 --> 1:08:44.240
<v Speaker 10>that shakeup may lead to some new hiring and areas

1:08:44.280 --> 1:08:45.439
<v Speaker 10>and cuts in other places.

1:08:46.040 --> 1:08:48.320
<v Speaker 17>All right, Ellen, well, thank you so much for joining us.

1:08:48.360 --> 1:08:49.519
<v Speaker 17>We're going to have to leave it there so we

1:08:49.560 --> 1:08:52.360
<v Speaker 17>can get back to this Trump news today, but really

1:08:52.400 --> 1:08:55.360
<v Speaker 17>appreciate you joining us and the story, of course, which

1:08:55.400 --> 1:08:58.120
<v Speaker 17>will be featured in the forthcoming issue of BusinessWeek magazine.

1:08:58.160 --> 1:08:58.800
<v Speaker 3>You can read it.

1:08:58.720 --> 1:09:01.639
<v Speaker 17>Now on the Bloomberg Term and at Bloomberg dot com

1:09:01.680 --> 1:09:02.920
<v Speaker 17>slash BusinessWeek.

1:09:07.240 --> 1:09:10.840
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:09:10.880 --> 1:09:14.559
<v Speaker 1>live weekdays from two to five pm Easter on Bloomberg Radio,

1:09:14.760 --> 1:09:17.639
<v Speaker 1>the Bloomberg Business app, and you too. You can also

1:09:17.720 --> 1:09:21.040
<v Speaker 1>listen live to our flagship New York station, just say

1:09:21.160 --> 1:09:23.559
<v Speaker 1>Alexa play Bloomberg eleven thirty.

1:09:24.840 --> 1:09:27.439
<v Speaker 3>We're going to talk DC because you've got the Washington Capitals,

1:09:27.439 --> 1:09:31.120
<v Speaker 3>the Wizards, the Washington Mystics. She've got Team Liquid, You've

1:09:31.120 --> 1:09:33.799
<v Speaker 3>got the Capital One Arena, You've got NBC Sports Washington,

1:09:33.800 --> 1:09:36.240
<v Speaker 3>and so much more. Add it all up, you get Montaman,

1:09:36.479 --> 1:09:40.439
<v Speaker 3>Monumental Sports and Entertainment, a four billion dollars sports empire

1:09:40.640 --> 1:09:43.479
<v Speaker 3>headed by Ted Leonsis. He's a New Yorker, he's a

1:09:43.520 --> 1:09:46.000
<v Speaker 3>businessman and more. But with us right now ahead of

1:09:46.000 --> 1:09:49.280
<v Speaker 3>Tonight's episode of Chief Future Officer airing at nine thirty

1:09:49.320 --> 1:09:52.200
<v Speaker 3>pm Wall Street Time on Bloomberg Television is Peter bsche

1:09:52.240 --> 1:09:55.360
<v Speaker 3>He's the CFO of Monumental Sports and Entertainment. He joins

1:09:55.400 --> 1:09:58.080
<v Speaker 3>us on Zoom from Washington, d C. Peter, it is

1:09:58.160 --> 1:10:00.679
<v Speaker 3>really great to have you here on Bloomberg Business Week.

1:10:01.000 --> 1:10:03.840
<v Speaker 3>First of all, you know, talk to us about your

1:10:03.920 --> 1:10:06.640
<v Speaker 3>life on a daily basis and what it's like to

1:10:06.680 --> 1:10:09.160
<v Speaker 3>be a CFO of Monumental sports. And I ask you

1:10:09.520 --> 1:10:11.680
<v Speaker 3>on a day when we have been laser focused on

1:10:11.760 --> 1:10:14.360
<v Speaker 3>something like the FED, and I'm curious about the macro.

1:10:14.439 --> 1:10:16.080
<v Speaker 3>We're going to get into what you guys are doing

1:10:16.360 --> 1:10:19.479
<v Speaker 3>and everything under the Monumental brand, But what is it

1:10:19.640 --> 1:10:22.200
<v Speaker 3>on a macro basis that you guys talk about with

1:10:22.240 --> 1:10:23.040
<v Speaker 3>you and your team.

1:10:23.840 --> 1:10:27.000
<v Speaker 18>So we talk about our consumers, our customers. We talk

1:10:27.040 --> 1:10:31.040
<v Speaker 18>about what's happening in the economy obviously, and whatever happens

1:10:31.040 --> 1:10:35.599
<v Speaker 18>there in fact impacts our customers. We're in the media business,

1:10:35.640 --> 1:10:38.599
<v Speaker 18>We're in the disposable income business. People have different ways

1:10:38.600 --> 1:10:41.200
<v Speaker 18>to spend their money, so we are We think about

1:10:41.240 --> 1:10:45.720
<v Speaker 18>that a lot. Jobs, inflation, interest rates, not so much

1:10:45.920 --> 1:10:48.679
<v Speaker 18>impacting us directly, but impacting our customers.

1:10:48.680 --> 1:10:50.120
<v Speaker 11>So that's something we talk a lot about.

1:10:50.479 --> 1:10:52.640
<v Speaker 6>What does disposable income look like right now? You know,

1:10:52.720 --> 1:10:57.360
<v Speaker 6>I often bring up the stats of excess savings left

1:10:57.400 --> 1:11:00.920
<v Speaker 6>in consumers accounts right now. We to that about one

1:11:00.960 --> 1:11:05.479
<v Speaker 6>point two trillion dollars essentially left over from stimulus. Now,

1:11:05.479 --> 1:11:08.519
<v Speaker 6>a lot people strike back on Twitter. Let's say you're wrong.

1:11:08.840 --> 1:11:10.800
<v Speaker 6>You know, we don't have any money, and I get

1:11:10.800 --> 1:11:14.080
<v Speaker 6>that some people don't, but what does what does your

1:11:14.120 --> 1:11:14.880
<v Speaker 6>client base have?

1:11:15.800 --> 1:11:18.760
<v Speaker 11>Yeah, you know, we're in an interesting business.

1:11:18.960 --> 1:11:21.679
<v Speaker 18>We're in the media business if you really think about it,

1:11:22.240 --> 1:11:25.600
<v Speaker 18>and so again, disposable income. But we are also so

1:11:25.680 --> 1:11:27.960
<v Speaker 18>much a part of the fabric of our community. People

1:11:28.000 --> 1:11:31.920
<v Speaker 18>have grown up in sports, whether it's on the youth

1:11:32.040 --> 1:11:35.240
<v Speaker 18>level of the high school collegiate professional level, so it's

1:11:35.320 --> 1:11:37.160
<v Speaker 18>really part of their life in a way that a

1:11:37.160 --> 1:11:41.000
<v Speaker 18>lot of businesses or products aren't. So coming out of

1:11:41.040 --> 1:11:43.600
<v Speaker 18>for example COVID, where we were essentially shut down for

1:11:43.680 --> 1:11:47.559
<v Speaker 18>two years, the demand back was phenomenal. We came back

1:11:47.720 --> 1:11:52.040
<v Speaker 18>instantly again because I think people like sports, they like

1:11:52.080 --> 1:11:54.200
<v Speaker 18>it live, they of course like it on their screens,

1:11:54.200 --> 1:11:56.800
<v Speaker 18>where the vast majority of them to consume us. The

1:11:56.840 --> 1:11:59.280
<v Speaker 18>other part of our business, and you mentioned all our teams,

1:11:59.320 --> 1:12:01.960
<v Speaker 18>but we're really a live entertainment business, and that we

1:12:02.000 --> 1:12:04.120
<v Speaker 18>have a lot of events here at the arena and our.

1:12:04.040 --> 1:12:06.400
<v Speaker 11>Other facilities that aren't just our teams.

1:12:06.439 --> 1:12:09.680
<v Speaker 18>Tonight we have a major wrestling event, So that that

1:12:09.920 --> 1:12:11.879
<v Speaker 18>side of the business, that side of the live entertainment

1:12:11.960 --> 1:12:15.519
<v Speaker 18>business that occupies our buildings came back very strong as well.

1:12:15.560 --> 1:12:16.639
<v Speaker 11>The concert business.

1:12:16.640 --> 1:12:19.720
<v Speaker 18>We all so what's happened recently with certain very high

1:12:19.800 --> 1:12:22.760
<v Speaker 18>profile acts, so our businesses, I won't say with a

1:12:22.880 --> 1:12:26.440
<v Speaker 18>recession proof that what impacts us more is our team performance.

1:12:26.479 --> 1:12:28.559
<v Speaker 18>So if we have a downcycle on the teams, that's

1:12:28.640 --> 1:12:31.599
<v Speaker 18>much more impactful than a downcycle into the economy.

1:12:31.680 --> 1:12:33.479
<v Speaker 3>Peter, who want to get more deeper into sports, but

1:12:33.520 --> 1:12:35.960
<v Speaker 3>when you look at the economic outlook, does it say

1:12:35.960 --> 1:12:38.400
<v Speaker 3>to you recession? Does it say now we're going to

1:12:38.479 --> 1:12:39.080
<v Speaker 3>skip it out?

1:12:39.800 --> 1:12:41.599
<v Speaker 18>You know, I think that's what you all and your

1:12:41.680 --> 1:12:44.440
<v Speaker 18>other guests down at Bloomber get paid.

1:12:44.479 --> 1:12:46.400
<v Speaker 11>To a pine on that's not really my area.

1:12:46.439 --> 1:12:48.360
<v Speaker 18>If you wanted to ask who we should pick in

1:12:48.400 --> 1:12:50.559
<v Speaker 18>the next draft, which is coming up, I might have

1:12:50.600 --> 1:12:51.360
<v Speaker 18>a view on that.

1:12:52.800 --> 1:12:55.320
<v Speaker 6>I don't believe it. I don't believe Listen. We do

1:12:55.800 --> 1:12:58.040
<v Speaker 6>spend a lot of time talking about J. Powell, but

1:12:58.080 --> 1:13:01.479
<v Speaker 6>I guarantee that it's J. Powell ran into you. He

1:13:01.520 --> 1:13:04.599
<v Speaker 6>would want to pick your brain to figure out what's

1:13:04.640 --> 1:13:06.600
<v Speaker 6>going on in the economy because you're the kind of

1:13:06.600 --> 1:13:07.840
<v Speaker 6>people he wants to talk to.

1:13:09.240 --> 1:13:12.120
<v Speaker 11>Now, I think, as I said, we've done well.

1:13:12.439 --> 1:13:15.479
<v Speaker 18>We are concerned, like many people are, with cities commercial

1:13:15.479 --> 1:13:18.200
<v Speaker 18>real estate that impacts us here, particularly in a market

1:13:18.200 --> 1:13:21.360
<v Speaker 18>like Washington, so we pay close attention to that. We

1:13:21.439 --> 1:13:24.160
<v Speaker 18>have a lot of our corporate partners. Obviously we have

1:13:24.160 --> 1:13:27.400
<v Speaker 18>people buy tickets, but we have sponsors and their businesses

1:13:27.439 --> 1:13:28.920
<v Speaker 18>are impacted by what's going.

1:13:28.720 --> 1:13:29.559
<v Speaker 11>On in the economy.

1:13:29.600 --> 1:13:32.760
<v Speaker 18>Again, the commercial real estate world concerns us a little bit.

1:13:33.520 --> 1:13:38.400
<v Speaker 18>We're downtown, we need fans comfortable coming here, their fan experience,

1:13:38.439 --> 1:13:40.680
<v Speaker 18>fan safety, all those things are very important to us.

1:13:41.000 --> 1:13:43.400
<v Speaker 18>I don't know whether mister Powell would focus on that,

1:13:43.439 --> 1:13:46.360
<v Speaker 18>but that's what we focus on our fan experience. We

1:13:46.360 --> 1:13:48.960
<v Speaker 18>think of it as driveway to driveway, when they leave

1:13:49.000 --> 1:13:51.439
<v Speaker 18>their driveway to come here, and then when they return,

1:13:51.720 --> 1:13:54.920
<v Speaker 18>we've got to make that a seamless and experience as possible. Obviously,

1:13:55.000 --> 1:13:59.840
<v Speaker 18>we control what happens in the building here, but silly

1:13:59.840 --> 1:14:02.920
<v Speaker 18>things like traffic and public transportation and all that that

1:14:03.360 --> 1:14:04.559
<v Speaker 18>really matters to us.

1:14:04.920 --> 1:14:06.439
<v Speaker 3>Well, we're just thinking he might. I don't know is

1:14:06.439 --> 1:14:08.320
<v Speaker 3>the Grateful Dead playing at the Capitol Arena because he

1:14:08.360 --> 1:14:10.280
<v Speaker 3>might come to see it because he does like the Dead.

1:14:10.920 --> 1:14:13.360
<v Speaker 18>Well, the Dead no longer exists, but what do they

1:14:13.400 --> 1:14:14.120
<v Speaker 18>call themselves?

1:14:14.200 --> 1:14:17.880
<v Speaker 6>Dead and Company? I think they play Toctal City Music Theater.

1:14:18.320 --> 1:14:21.280
<v Speaker 18>I don't know whether they're on tour or not. We're

1:14:21.320 --> 1:14:22.920
<v Speaker 18>sort of the only game in town, so if they

1:14:22.920 --> 1:14:25.160
<v Speaker 18>play in Washington, they would be playing here.

1:14:26.240 --> 1:14:29.479
<v Speaker 6>They are on tour, they're playing city Field on next

1:14:29.640 --> 1:14:30.800
<v Speaker 6>Wednesday and Thursday.

1:14:31.400 --> 1:14:35.640
<v Speaker 18>So people play indoor buildings, particularly older acts tend to

1:14:35.640 --> 1:14:37.880
<v Speaker 18>play indoor buildings like hours, they're an older act. But

1:14:37.920 --> 1:14:41.680
<v Speaker 18>in the summertime, obviously, the football and baseball stadiums can

1:14:41.720 --> 1:14:43.519
<v Speaker 18>hold a lot more people than we can with twenty

1:14:43.560 --> 1:14:46.320
<v Speaker 18>thousand dollars. Here, become a rainy night or a cold

1:14:46.400 --> 1:14:50.120
<v Speaker 18>November day, they'd be very happy to be inside with us, Peter.

1:14:50.240 --> 1:14:53.519
<v Speaker 3>One thing that is certainly a great economic and market

1:14:53.520 --> 1:14:57.439
<v Speaker 3>indicator is when companies are willing to expand grow their business,

1:14:58.880 --> 1:15:01.519
<v Speaker 3>you know, take on debt, you build out their business,

1:15:01.680 --> 1:15:04.280
<v Speaker 3>or possibly you know, expand their franchises. And I'm just

1:15:04.360 --> 1:15:07.640
<v Speaker 3>wondering along those lines. The Washington Nationals are said to

1:15:07.680 --> 1:15:10.400
<v Speaker 3>be coming up for sale, reports that you guys might

1:15:10.439 --> 1:15:14.920
<v Speaker 3>be interested. Are you enthusiastic maybe about doing something like that?

1:15:15.120 --> 1:15:16.120
<v Speaker 3>Is that a possibility?

1:15:16.840 --> 1:15:19.080
<v Speaker 18>You know, there's there's been a lot of reports out there.

1:15:19.320 --> 1:15:21.879
<v Speaker 18>The team was on the market. It's no longer technically

1:15:21.920 --> 1:15:24.600
<v Speaker 18>on the market. We view ourselves here as having a platform.

1:15:24.720 --> 1:15:26.439
<v Speaker 18>You've mentioned we have a couple of teams, we have,

1:15:26.479 --> 1:15:29.280
<v Speaker 18>have a dozen venues. We now own our network. So

1:15:29.400 --> 1:15:31.679
<v Speaker 18>for us, we have this platform and if we can

1:15:31.800 --> 1:15:35.120
<v Speaker 18>add like businesses to it, it's tremendous.

1:15:35.120 --> 1:15:37.479
<v Speaker 11>We have tremendous operating leverage in the business.

1:15:37.479 --> 1:15:39.519
<v Speaker 18>Makes a lot of sense from a media point of view,

1:15:40.120 --> 1:15:42.479
<v Speaker 18>we really are focused on the region now. For us,

1:15:42.520 --> 1:15:45.120
<v Speaker 18>the region runs all the way up to Philadelphia and

1:15:45.160 --> 1:15:48.320
<v Speaker 18>down into maybe even North Carolina and west from here.

1:15:48.840 --> 1:15:52.200
<v Speaker 18>So adding to the platform, we're six hundred and fifty

1:15:52.240 --> 1:15:57.439
<v Speaker 18>million dollars in revenue news revenues now Ted Chamer wants

1:15:57.479 --> 1:16:00.000
<v Speaker 18>to get to a billion. We'll do some of that organically,

1:16:00.200 --> 1:16:02.840
<v Speaker 18>just growing what we have. Some of it will also

1:16:02.920 --> 1:16:05.920
<v Speaker 18>be adding businesses to the platform. I'm not going to

1:16:06.360 --> 1:16:12.040
<v Speaker 18>name names.

1:16:09.200 --> 1:16:11.880
<v Speaker 5>That there's no matter how hard you try here make

1:16:11.920 --> 1:16:12.599
<v Speaker 5>a lot of sense.

1:16:12.960 --> 1:16:15.360
<v Speaker 3>I tried to kind of weave it together and was hoping.

1:16:16.040 --> 1:16:17.840
<v Speaker 6>A little bit of a slip. You wanted a little

1:16:17.840 --> 1:16:18.960
<v Speaker 6>bit of a slip there from.

1:16:18.800 --> 1:16:23.680
<v Speaker 3>Pete No, no, I respect. I respect Peter. Having said that,

1:16:23.720 --> 1:16:25.960
<v Speaker 3>we did mention the teams. You know, you guys have

1:16:26.200 --> 1:16:29.799
<v Speaker 3>esports gaming. As you said, you're a media Company's where's

1:16:29.800 --> 1:16:31.839
<v Speaker 3>the growth. Where's the biggest amount of growth?

1:16:33.160 --> 1:16:35.120
<v Speaker 18>You know, I think it really is on the media side.

1:16:35.160 --> 1:16:37.360
<v Speaker 18>We can't really add seats here in the building. We

1:16:37.479 --> 1:16:41.439
<v Speaker 18>can raise prices, but it's about getting eyeballs. We really

1:16:41.479 --> 1:16:43.920
<v Speaker 18>need eyeballs, and as you all are very familiar with

1:16:43.920 --> 1:16:47.680
<v Speaker 18>with the changing media's landscape and the regional sports network.

1:16:47.640 --> 1:16:49.880
<v Speaker 11>Cord cutting, we need to be.

1:16:49.920 --> 1:16:52.680
<v Speaker 18>Getting to our fans however they want to consume us,

1:16:52.760 --> 1:16:56.280
<v Speaker 18>whether it's again on a traditional TV with a copper

1:16:56.280 --> 1:16:59.160
<v Speaker 18>wire coming in, or it's on their hand held or whatever.

1:16:59.720 --> 1:17:04.160
<v Speaker 18>So our growth is more eyeballs, but getting to them

1:17:04.160 --> 1:17:06.080
<v Speaker 18>in ways that we haven't gotten to them in the past.

1:17:06.120 --> 1:17:07.160
<v Speaker 11>One of the reasons where.

1:17:06.960 --> 1:17:11.280
<v Speaker 18>In esports, particularly sports related to basketball and hockey, is

1:17:11.320 --> 1:17:13.240
<v Speaker 18>that's a way of connecting with the younger fan, and

1:17:13.280 --> 1:17:14.920
<v Speaker 18>we need to connect with the younger fans.

1:17:14.920 --> 1:17:15.880
<v Speaker 11>So esports is that.

1:17:15.960 --> 1:17:18.639
<v Speaker 18>One of the reasons where active and it's all over

1:17:18.680 --> 1:17:21.400
<v Speaker 18>the country, all over the world and sports gaming is

1:17:21.479 --> 1:17:23.280
<v Speaker 18>that's the way to connect with our fans. We have

1:17:23.400 --> 1:17:26.200
<v Speaker 18>fans who have an interest in doing that. We need

1:17:26.240 --> 1:17:30.200
<v Speaker 18>to have a product, whether it's a channel or distribution

1:17:30.640 --> 1:17:33.680
<v Speaker 18>to reach those fans, younger fans, fans who have a

1:17:33.760 --> 1:17:36.240
<v Speaker 18>very specific interest, whether it's gaming.

1:17:36.800 --> 1:17:38.320
<v Speaker 11>That's where our growth is going to be. It's going

1:17:38.360 --> 1:17:42.320
<v Speaker 11>to be more. That's where our organic growth will be

1:17:42.400 --> 1:17:43.840
<v Speaker 11>is in more eyeballs.

1:17:44.040 --> 1:17:46.120
<v Speaker 3>You know, Peter, I got to be honest, like you

1:17:46.280 --> 1:17:48.959
<v Speaker 3>know this. You've been there for I think what two decades,

1:17:49.520 --> 1:17:53.080
<v Speaker 3>I mean, coming off the financial crisis, we realized how

1:17:53.120 --> 1:17:57.479
<v Speaker 3>important chief financial officers are in keeping businesses growing. I

1:17:57.479 --> 1:17:59.519
<v Speaker 3>think we used to be for such a long time.

1:17:59.600 --> 1:18:01.559
<v Speaker 3>It's the earnings call. They pop on the earnings call,

1:18:01.600 --> 1:18:03.920
<v Speaker 3>they do the numbers, and then they go away. Being

1:18:03.960 --> 1:18:06.920
<v Speaker 3>a CFO is so key in terms of the strategy

1:18:07.360 --> 1:18:11.479
<v Speaker 3>that's deployed at companies today. And you talked earlier about

1:18:11.600 --> 1:18:13.240
<v Speaker 3>you know, how you guys have really made a mark,

1:18:13.760 --> 1:18:16.320
<v Speaker 3>you know, in the DC area. But does that mean

1:18:16.400 --> 1:18:21.000
<v Speaker 3>that becoming even more national is not on the table

1:18:21.120 --> 1:18:23.759
<v Speaker 3>or could you when you talk about growth and expansion

1:18:23.760 --> 1:18:26.559
<v Speaker 3>and more eyeballs, you know, continue to think about building

1:18:26.600 --> 1:18:28.440
<v Speaker 3>out your brands nationally.

1:18:29.240 --> 1:18:29.439
<v Speaker 11>Well.

1:18:29.520 --> 1:18:33.200
<v Speaker 18>Well, obviously our teams through the leagues have a national presence, right,

1:18:33.240 --> 1:18:33.960
<v Speaker 18>the NBA.

1:18:33.840 --> 1:18:36.120
<v Speaker 3>NHL, Right, But you know what I mean, you know

1:18:36.160 --> 1:18:37.240
<v Speaker 3>what I supposed nationally.

1:18:37.600 --> 1:18:40.040
<v Speaker 18>I think we've got a lot of work to do

1:18:40.120 --> 1:18:42.559
<v Speaker 18>here at home, a lot of opportunity in our market,

1:18:42.760 --> 1:18:45.920
<v Speaker 18>and there's a lot of value from our point of view.

1:18:45.960 --> 1:18:49.639
<v Speaker 18>I used this word already on the platform. You can

1:18:49.680 --> 1:18:52.880
<v Speaker 18>it expand perhaps, but we need to do what we

1:18:52.960 --> 1:18:54.600
<v Speaker 18>need to do to get to a billion dollars and

1:18:54.640 --> 1:18:56.080
<v Speaker 18>we think we can do it. And oh, by the way,

1:18:57.800 --> 1:19:00.360
<v Speaker 18>Washington's a great place to do it in there. There

1:19:00.360 --> 1:19:04.120
<v Speaker 18>are obviously other important cities in this country, but Washington

1:19:04.200 --> 1:19:06.960
<v Speaker 18>is one of those, and so we're excited to be here.

1:19:07.040 --> 1:19:09.240
<v Speaker 18>Not to knock other cities, but we think this is

1:19:09.240 --> 1:19:10.120
<v Speaker 18>a great place to be.

1:19:10.400 --> 1:19:14.479
<v Speaker 6>You can knock other cities. Washington is an awesome sports town.

1:19:14.520 --> 1:19:15.160
<v Speaker 5>I gotta say.

1:19:15.200 --> 1:19:18.160
<v Speaker 6>You know, people who live down there really root for

1:19:18.240 --> 1:19:21.080
<v Speaker 6>their teams. They really get into it in a way

1:19:21.120 --> 1:19:24.240
<v Speaker 6>that people in other cities sidetracked by other stuff really don't.

1:19:24.280 --> 1:19:26.120
<v Speaker 3>But if you only had a baseball.

1:19:25.640 --> 1:19:29.880
<v Speaker 18>Team, well, you know, we've had some success. We won

1:19:29.920 --> 1:19:32.360
<v Speaker 18>the Stanley Cup a few years ago. Our women's team

1:19:32.400 --> 1:19:35.879
<v Speaker 18>won the WNDA Championship. The Nationals, who you keep mentioning,

1:19:35.920 --> 1:19:38.920
<v Speaker 18>won the World Series in twenty nineteen. So it's been

1:19:38.960 --> 1:19:41.160
<v Speaker 18>a few years, but we've had a lot of recent

1:19:41.200 --> 1:19:43.679
<v Speaker 18>success with our professional sports team.

1:19:43.840 --> 1:19:47.880
<v Speaker 6>So is the NWNBA starting to pick up? You know,

1:19:48.520 --> 1:19:51.320
<v Speaker 6>there's so much talk about pay parody, and to that,

1:19:52.000 --> 1:19:54.640
<v Speaker 6>snarky men always say, well, if you want them to

1:19:54.640 --> 1:19:56.640
<v Speaker 6>get paid the same, go see the game. You know,

1:19:57.479 --> 1:20:00.840
<v Speaker 6>are people starting to fill up those seats.

1:20:00.040 --> 1:20:02.840
<v Speaker 18>Yes, and I don't think it's I think it's in

1:20:03.040 --> 1:20:06.360
<v Speaker 18>women's sports overall at the collegiate level, at the professional level,

1:20:06.439 --> 1:20:09.800
<v Speaker 18>not just in this country, in Europe for example as well,

1:20:09.840 --> 1:20:13.120
<v Speaker 18>when we see in the growth of women's professional soccer

1:20:13.160 --> 1:20:16.680
<v Speaker 18>teams often sistering with an EPL team or a lot

1:20:16.680 --> 1:20:19.840
<v Speaker 18>of legal team. So I think there's a rising tide

1:20:19.920 --> 1:20:23.240
<v Speaker 18>raising all those boats. I think the WNBA was at

1:20:23.240 --> 1:20:26.080
<v Speaker 18>the forefront of that twenty years ago when it first started.

1:20:26.640 --> 1:20:29.240
<v Speaker 18>They've done some great things in terms of raising growth

1:20:29.280 --> 1:20:32.040
<v Speaker 18>capital at the league level, which is a fairly unusual

1:20:32.160 --> 1:20:35.479
<v Speaker 18>thing for professional sports leagues to do. So I think

1:20:35.560 --> 1:20:38.960
<v Speaker 18>the future is very, very bright for women's sports, but

1:20:39.120 --> 1:20:43.679
<v Speaker 18>also for the WNBA in particular, and particularly in Washington. Obviously,

1:20:43.720 --> 1:20:48.639
<v Speaker 18>the mix of professionals here includes a lot of women

1:20:49.120 --> 1:20:53.400
<v Speaker 18>in very very significant roles, so we're excited about that

1:20:53.479 --> 1:20:53.920
<v Speaker 18>as well.

1:20:54.120 --> 1:20:55.920
<v Speaker 3>Hey, listen, I want to ask you about something very

1:20:55.920 --> 1:20:59.720
<v Speaker 3>serious if I may, because it certainly has been a

1:20:59.800 --> 1:21:04.360
<v Speaker 3>high topic here at Bloomberg, certainly in the financial community.

1:21:04.400 --> 1:21:07.240
<v Speaker 3>When this story crossed, I think it was the most

1:21:07.320 --> 1:21:09.479
<v Speaker 3>read on the Bloomberg and stayed that way for the day.

1:21:09.840 --> 1:21:12.040
<v Speaker 3>And this has to do with the PGA tour and

1:21:12.080 --> 1:21:16.400
<v Speaker 3>live golf and the increasingly growing role of Saudi Arabia

1:21:17.040 --> 1:21:20.439
<v Speaker 3>and their money when it comes to global sports. And

1:21:20.520 --> 1:21:25.120
<v Speaker 3>I'm just curious what you what your opinion of that is.

1:21:26.000 --> 1:21:28.320
<v Speaker 5>Yeah, I think is it good?

1:21:28.439 --> 1:21:28.679
<v Speaker 11>Okay?

1:21:29.439 --> 1:21:32.240
<v Speaker 18>There there have been sort of startup leagues that have

1:21:32.280 --> 1:21:33.599
<v Speaker 18>grown in the past, whether it.

1:21:33.560 --> 1:21:37.880
<v Speaker 4>Was the the old AFL or the the you know,

1:21:37.920 --> 1:21:43.639
<v Speaker 4>competing NBA, wh and hockey, So that's been a common thing,

1:21:43.680 --> 1:21:45.680
<v Speaker 4>perhaps not as much of resent people have tried with

1:21:45.720 --> 1:21:46.759
<v Speaker 4>the XFL and others.

1:21:46.800 --> 1:21:50.160
<v Speaker 18>So alternative leagues I think are always going to come up.

1:21:50.320 --> 1:21:53.920
<v Speaker 18>Often they result in merging, as the AFL and NFL did,

1:21:53.960 --> 1:21:57.000
<v Speaker 18>and the a BA the NBA, and so I'm sort

1:21:57.040 --> 1:21:59.519
<v Speaker 18>of not surprised that followed that path, maybe a little

1:21:59.560 --> 1:22:03.760
<v Speaker 18>quicker and people might have expected. As to the specific

1:22:03.840 --> 1:22:07.360
<v Speaker 18>sources of funding, I'm really reluctant to comment on that.

1:22:07.479 --> 1:22:10.719
<v Speaker 18>I think one thing I will say is sports teams.

1:22:10.760 --> 1:22:13.479
<v Speaker 18>The sports business has gotten so much bigger, teams so

1:22:13.600 --> 1:22:17.400
<v Speaker 18>much more valuable that opening up new pools of capital,

1:22:17.479 --> 1:22:19.920
<v Speaker 18>as the number of the leagues have done to institutional

1:22:19.960 --> 1:22:22.799
<v Speaker 18>investors and the like, is just going to be critical

1:22:22.840 --> 1:22:28.519
<v Speaker 18>to grow the game. And we're international brands, particularly the NBA,

1:22:29.880 --> 1:22:33.240
<v Speaker 18>so international sources of money I think are going to

1:22:33.280 --> 1:22:35.479
<v Speaker 18>be required to get where we want to go.

1:22:35.840 --> 1:22:38.320
<v Speaker 6>I want to ask about speaking of international William Hill,

1:22:38.360 --> 1:22:43.360
<v Speaker 6>I think has spot in your arena there. What's the

1:22:43.800 --> 1:22:47.639
<v Speaker 6>arrangement and how has that growth been? Because you know,

1:22:47.920 --> 1:22:50.280
<v Speaker 6>I lived in London for a long time. British kids

1:22:50.360 --> 1:22:52.320
<v Speaker 6>learn spread betting when they're like five years old and

1:22:52.360 --> 1:22:53.839
<v Speaker 6>then they do it for the rest of their lives.

1:22:53.960 --> 1:22:56.639
<v Speaker 6>Here in the US, it's starting to pick up. It's

1:22:56.640 --> 1:23:00.200
<v Speaker 6>starting to really catch on as a form of entertainment. Well,

1:23:00.439 --> 1:23:01.479
<v Speaker 6>what's your experience been?

1:23:02.000 --> 1:23:03.720
<v Speaker 11>Yeah, so I got to just give a shout out.

1:23:03.720 --> 1:23:05.200
<v Speaker 11>It's actually Caesar's Now.

1:23:05.280 --> 1:23:08.840
<v Speaker 18>Caesar's acquired the US operations of William Hill and they

1:23:08.880 --> 1:23:09.719
<v Speaker 18>are important partners.

1:23:09.760 --> 1:23:10.960
<v Speaker 11>I got to get their name out there.

1:23:11.439 --> 1:23:14.559
<v Speaker 18>No, I think it's always been out there, but it's

1:23:14.600 --> 1:23:18.280
<v Speaker 18>been in the dark, it's been offshore, it's been unregulated,

1:23:20.120 --> 1:23:24.880
<v Speaker 18>often not good people taking advantage of good people. So

1:23:25.120 --> 1:23:27.760
<v Speaker 18>having light on it, sunshine on it, I think that

1:23:27.800 --> 1:23:31.240
<v Speaker 18>we think is critical. I think it's critical. So we

1:23:31.320 --> 1:23:35.360
<v Speaker 18>have a partnership with Caesars. We have no interest direct

1:23:35.439 --> 1:23:38.080
<v Speaker 18>or indirect and the betting that happens there. They're a

1:23:38.160 --> 1:23:40.479
<v Speaker 18>tenant in the building, they rent the space where the

1:23:40.520 --> 1:23:43.599
<v Speaker 18>sports book is. They buy a lot of advertising, which

1:23:43.640 --> 1:23:46.920
<v Speaker 18>is why I gave Caesars the shout out. But no leagues,

1:23:46.960 --> 1:23:50.240
<v Speaker 18>no teams want to have any interest in the actual betting.

1:23:50.479 --> 1:23:53.680
<v Speaker 18>For obviously it's not good for our integrity, it's not

1:23:53.800 --> 1:23:57.120
<v Speaker 18>good for the fans thinking that these games are on

1:23:57.200 --> 1:23:59.639
<v Speaker 18>the up and up. But again, I think we want

1:23:59.640 --> 1:24:02.519
<v Speaker 18>to knowledge that's out there and bringing it into the

1:24:02.560 --> 1:24:04.759
<v Speaker 18>light of day is a good thing. As I said earlier, though,

1:24:05.040 --> 1:24:07.240
<v Speaker 18>it's also whay if our fans engage with the game,

1:24:07.280 --> 1:24:09.559
<v Speaker 18>and we need to always be figuring out new ways

1:24:09.720 --> 1:24:12.760
<v Speaker 18>to engage with our fans as they distracted by, you know,

1:24:12.960 --> 1:24:16.640
<v Speaker 18>watching Yellowstone or whatever else they're TikTok or wherever else

1:24:16.720 --> 1:24:19.000
<v Speaker 18>is going to be doing. So that's just another way

1:24:19.000 --> 1:24:19.400
<v Speaker 18>of doing it.

1:24:19.439 --> 1:24:19.720
<v Speaker 11>All right.

1:24:19.760 --> 1:24:21.080
<v Speaker 3>One thing we didn't ask you, are you going to

1:24:21.120 --> 1:24:22.280
<v Speaker 3>buy the Washington Nationals?

1:24:23.320 --> 1:24:25.080
<v Speaker 11>Well, I think you did ask me that a couple

1:24:25.120 --> 1:24:25.479
<v Speaker 11>of times.

1:24:25.560 --> 1:24:28.480
<v Speaker 3>All right, have any easier question, Might you guys go public.

1:24:28.400 --> 1:24:31.040
<v Speaker 18>Pools of capital? We need pools of capital at the

1:24:31.080 --> 1:24:33.280
<v Speaker 18>right time. I think we need to be bigger, definitely,

1:24:33.360 --> 1:24:36.799
<v Speaker 18>it's something we'd think about. Market's got to be ready.

1:24:37.000 --> 1:24:39.880
<v Speaker 18>But there are advantages to having the liquidity, to having

1:24:39.920 --> 1:24:43.000
<v Speaker 18>a currency for acquisition. All the reasons other companies are

1:24:43.000 --> 1:24:48.840
<v Speaker 18>public would make sense for US. Liquidity, currency, that kind

1:24:48.880 --> 1:24:51.240
<v Speaker 18>of thing, and someday perhaps.

1:24:51.200 --> 1:24:54.360
<v Speaker 3>Well, Peter, you are and no pun intended. Truly a

1:24:54.400 --> 1:24:56.840
<v Speaker 3>good sport. We really enjoyed this and we're looking forward

1:24:56.880 --> 1:24:59.840
<v Speaker 3>to it. Be well. Have a good season seasons. Peter,

1:25:00.439 --> 1:25:04.160
<v Speaker 3>Chief Financial Officer, Monumental Sports and Entertainment on Zoom from Washington,

1:25:04.240 --> 1:25:07.000
<v Speaker 3>d C. He will be featured in tonight's episode of

1:25:07.040 --> 1:25:09.599
<v Speaker 3>Chief Future Officer, airing at nine to thirty pm Wall

1:25:09.600 --> 1:25:13.080
<v Speaker 3>Street Time on Bloomberg TV. I love talking sports.

1:25:13.000 --> 1:25:15.320
<v Speaker 5>Yeah, and a very cool show, Chief Future Officer. Tune

1:25:15.360 --> 1:25:15.720
<v Speaker 5>in for that.

1:25:16.160 --> 1:25:19.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:25:19.760 --> 1:25:22.600
<v Speaker 1>live weekdays from two to five pm Eastern.

1:25:22.360 --> 1:25:24.800
<v Speaker 8>On Bloomberg Radio, the Bloomberg.

1:25:24.320 --> 1:25:27.479
<v Speaker 1>Business App, and YouTube. You can also listen live to

1:25:27.560 --> 1:25:31.640
<v Speaker 1>our flagship New York station, Just Say Alexa, play Bloomberg

1:25:31.680 --> 1:25:32.720
<v Speaker 1>You love Them thirty.

1:25:37.640 --> 1:25:44.760
<v Speaker 15>At your mot alone on the way, all right, I

1:25:44.800 --> 1:25:46.360
<v Speaker 15>don't even think I can introduce this one.

1:25:46.400 --> 1:25:47.840
<v Speaker 3>I think this is all yours, buddy.

1:25:47.960 --> 1:25:52.400
<v Speaker 6>All right, So Matt Chambers is a guy who became famous,

1:25:52.479 --> 1:25:55.880
<v Speaker 6>or at least well known to me when he made

1:25:55.920 --> 1:25:57.240
<v Speaker 6>Confederate motorcycles.

1:25:57.320 --> 1:25:58.840
<v Speaker 5>They were, you know.

1:25:59.040 --> 1:26:04.920
<v Speaker 6>Big display spent twins cruisers, and at one point he

1:26:05.000 --> 1:26:10.240
<v Speaker 6>kind of made this really cool pivot to electric bikes

1:26:10.280 --> 1:26:13.280
<v Speaker 6>and also changed the name to Curtis. And I was

1:26:13.320 --> 1:26:17.559
<v Speaker 6>following along this whole saga on social media. I just

1:26:17.600 --> 1:26:20.600
<v Speaker 6>thought it was so cool and the motorcycles are beautiful.

1:26:20.840 --> 1:26:22.759
<v Speaker 6>And then one day I was sitting on my couch

1:26:22.840 --> 1:26:26.519
<v Speaker 6>in Berlin and I saw that they were actually offering

1:26:26.600 --> 1:26:29.080
<v Speaker 6>shares for sale to the public, not through like a

1:26:29.160 --> 1:26:31.519
<v Speaker 6>Wall Street IPO, but kind of like a power to

1:26:31.560 --> 1:26:35.360
<v Speaker 6>the people way to invest. And he did said yes,

1:26:35.520 --> 1:26:38.200
<v Speaker 6>and Clickton bought shares in Curtis. So now I am

1:26:38.320 --> 1:26:39.160
<v Speaker 6>full disclosure.

1:26:39.439 --> 1:26:41.960
<v Speaker 3>Yes a shareholder, Matthew, come on in and tell us

1:26:41.960 --> 1:26:44.360
<v Speaker 3>little bit about the business and to one of your

1:26:44.360 --> 1:26:46.439
<v Speaker 3>shareholders and to our audience if you will.

1:26:47.040 --> 1:26:50.559
<v Speaker 2>Well, that's that's great to hear. Thanks for having me on. Yeah,

1:26:50.600 --> 1:26:54.280
<v Speaker 2>we spent twenty five years in this what I would

1:26:54.320 --> 1:26:57.320
<v Speaker 2>call kind of the AMG aification of Harley wanting to

1:26:57.760 --> 1:27:01.280
<v Speaker 2>if Harley was some Mercedes and motorcycles, we would soup

1:27:01.320 --> 1:27:03.280
<v Speaker 2>them up a little bit. We did a really good

1:27:03.360 --> 1:27:04.840
<v Speaker 2>job with that. We learned a lot. It was it

1:27:04.880 --> 1:27:08.160
<v Speaker 2>was like an apprenticeship, and we kind of hit the

1:27:08.320 --> 1:27:10.840
<v Speaker 2>end of the road in terms of being able to

1:27:10.880 --> 1:27:14.920
<v Speaker 2>make a better IC. And on June twenty ninth of

1:27:14.960 --> 1:27:18.479
<v Speaker 2>twenty sixteen, we made a firm pivot, got rid of

1:27:18.560 --> 1:27:22.080
<v Speaker 2>everything to do with IC, cleansed our minds, and went

1:27:22.880 --> 1:27:27.840
<v Speaker 2>one hundred percent into the dream of making the best

1:27:27.880 --> 1:27:32.080
<v Speaker 2>motorcycle in the world and it would just happen to

1:27:32.120 --> 1:27:35.880
<v Speaker 2>be electric. And we were wed. We did a lot

1:27:35.920 --> 1:27:37.760
<v Speaker 2>of work on our own, with our own, with the

1:27:37.800 --> 1:27:39.320
<v Speaker 2>team we had at the time. Then I got this

1:27:39.560 --> 1:27:42.559
<v Speaker 2>gentleman JT to come back, who had done a bike. Matt.

1:27:42.600 --> 1:27:44.400
<v Speaker 2>You probably know that bike the rate. It was a

1:27:44.439 --> 1:27:48.280
<v Speaker 2>pretty interesting motorcycle that we conjured. It was very aircrafty.

1:27:48.360 --> 1:27:50.879
<v Speaker 2>Then we did the Fighter. It had all this machine

1:27:50.960 --> 1:27:53.599
<v Speaker 2>stuff going on and it's a very precise, a more

1:27:53.600 --> 1:27:57.000
<v Speaker 2>precise way to make a bike. And then JT invented

1:27:57.000 --> 1:28:01.160
<v Speaker 2>this patented idea, this idea of tapping the axle the

1:28:01.640 --> 1:28:05.800
<v Speaker 2>shaft through the motor some actually making a motorcycle symmetrical,

1:28:05.920 --> 1:28:10.080
<v Speaker 2>the dream of an inside out made organic machine. It

1:28:10.160 --> 1:28:14.400
<v Speaker 2>just all came together. So now it's about two years

1:28:15.280 --> 1:28:17.920
<v Speaker 2>later than I thought. But we're very close, Matt, and

1:28:18.240 --> 1:28:21.120
<v Speaker 2>thank you for being the shareholder, and I believe we're

1:28:21.120 --> 1:28:22.559
<v Speaker 2>going to do really, really, really well.

1:28:22.640 --> 1:28:22.920
<v Speaker 15>Well.

1:28:23.040 --> 1:28:25.479
<v Speaker 6>One thing, I one day, I would like to ride

1:28:25.960 --> 1:28:28.479
<v Speaker 6>one of these bikes, because in so many ways you

1:28:28.680 --> 1:28:36.240
<v Speaker 6>challenge the norms of you know, the peril twin, parallel forks,

1:28:36.280 --> 1:28:39.040
<v Speaker 6>and the way a swing arm works and the drive

1:28:39.040 --> 1:28:42.559
<v Speaker 6>shaft as you say, and how does it handle when

1:28:42.600 --> 1:28:44.559
<v Speaker 6>you get out and ride this bike, or what is

1:28:44.600 --> 1:28:48.040
<v Speaker 6>the feedback that you get from people who are testing

1:28:48.080 --> 1:28:48.519
<v Speaker 6>these out?

1:28:49.280 --> 1:28:51.519
<v Speaker 2>If you had the experience of being in the business

1:28:51.520 --> 1:28:54.719
<v Speaker 2>for a long time like me, one of the things,

1:28:54.960 --> 1:28:57.200
<v Speaker 2>one of the things that would be troublesome is all

1:28:57.240 --> 1:29:00.360
<v Speaker 2>of the shunt from the first time I all one

1:29:00.360 --> 1:29:04.240
<v Speaker 2>of our bikes, and our bikes were packaged better than

1:29:04.760 --> 1:29:07.360
<v Speaker 2>the others. I mean, we we invented our own packaging

1:29:07.560 --> 1:29:10.320
<v Speaker 2>with the ice and the V twin. It was better.

1:29:11.439 --> 1:29:13.200
<v Speaker 2>We turned it into a monocoque. It was a far

1:29:13.240 --> 1:29:16.120
<v Speaker 2>better way to make a motorcycle. But man, when you

1:29:16.160 --> 1:29:18.160
<v Speaker 2>would when you would run that thing on a Dino,

1:29:18.240 --> 1:29:22.080
<v Speaker 2>it was it was shunty and violent. With JT's invention

1:29:22.680 --> 1:29:24.679
<v Speaker 2>and the symmetry, the bike is a little more balanced,

1:29:24.680 --> 1:29:29.000
<v Speaker 2>it's a little more beautiful. But even even more importantly,

1:29:29.200 --> 1:29:32.160
<v Speaker 2>I believe, is it has the way the way you

1:29:32.439 --> 1:29:36.160
<v Speaker 2>access the power is just so sublime, and it gives

1:29:36.160 --> 1:29:39.760
<v Speaker 2>the bike a little more fidelity, It gives you more confidence.

1:29:40.439 --> 1:29:43.320
<v Speaker 2>So the experience of riding it is I believe the

1:29:43.360 --> 1:29:47.559
<v Speaker 2>best that I've ever encountered on a motorcycle. I'm very

1:29:47.600 --> 1:29:49.240
<v Speaker 2>confident that this is the best motor.

1:29:49.320 --> 1:29:51.439
<v Speaker 3>So I'm just going to ask you some business questions.

1:29:51.479 --> 1:29:53.880
<v Speaker 3>I mean, how much have you how many are you selling,

1:29:53.880 --> 1:29:55.720
<v Speaker 3>what's the growth rate that you're seeing, and what do

1:29:55.800 --> 1:29:56.240
<v Speaker 3>they cost?

1:29:57.640 --> 1:30:00.680
<v Speaker 2>Well, the bike, the bike is a hyperluxury item and

1:30:00.720 --> 1:30:04.280
<v Speaker 2>that plays into our deck. We have about thirteen hundred

1:30:04.320 --> 1:30:08.880
<v Speaker 2>customers and those are pretty much all ultra high network,

1:30:08.960 --> 1:30:13.439
<v Speaker 2>so we and we've we have enough to break even

1:30:13.479 --> 1:30:16.080
<v Speaker 2>the first year. I believe it's about twenty five firm

1:30:16.320 --> 1:30:19.439
<v Speaker 2>deals and we have another one hundred and five to sell.

1:30:20.080 --> 1:30:23.559
<v Speaker 2>We're we're thinking really small, so we we believe we

1:30:23.600 --> 1:30:27.479
<v Speaker 2>will ultimately be the most valuable American motorcycle company by

1:30:27.520 --> 1:30:31.559
<v Speaker 2>say twenty thirty, more valuable than Live Wire, I mean

1:30:31.600 --> 1:30:35.439
<v Speaker 2>electric motorcycle company. And the way we're going to do

1:30:35.479 --> 1:30:38.759
<v Speaker 2>that is by doing by hitting a bogie of fifty

1:30:38.800 --> 1:30:41.720
<v Speaker 2>million of sales around twenty seven to twenty eight, but

1:30:41.840 --> 1:30:44.360
<v Speaker 2>bringing in a thirty but a thirty percent of the

1:30:44.439 --> 1:30:49.439
<v Speaker 2>dof fifty percent gross margins, So we're we're right now.

1:30:49.439 --> 1:30:53.679
<v Speaker 2>We're hitting about one hundred thousand of net revenue per unit,

1:30:54.120 --> 1:30:57.000
<v Speaker 2>and our costs will be will be south of fifty thousands.

1:30:57.040 --> 1:30:59.439
<v Speaker 2>We have a good margin, so it's kind of a

1:30:59.560 --> 1:31:03.000
<v Speaker 2>Tesla coming at hyperluxury. Our next product will be sixty.

1:31:03.560 --> 1:31:07.200
<v Speaker 2>We're very comfortable we can hit the thirty thousand dollars

1:31:07.560 --> 1:31:10.200
<v Speaker 2>of cost of good sold on that product in twenty

1:31:10.240 --> 1:31:13.160
<v Speaker 2>twenty seven. But the first thing is these one hundred

1:31:13.160 --> 1:31:19.000
<v Speaker 2>and thirty initial customers, and we feel like we've got

1:31:19.000 --> 1:31:22.800
<v Speaker 2>them already. We do have two thousand qualified expressions of

1:31:22.840 --> 1:31:26.840
<v Speaker 2>interest along with our deck of owners, numerous of whom

1:31:27.160 --> 1:31:31.920
<v Speaker 2>have said they will be buying a bike. But as Matt,

1:31:32.040 --> 1:31:35.600
<v Speaker 2>you probably would agree that the transfer from ice to

1:31:35.760 --> 1:31:39.599
<v Speaker 2>electric is it's something that an individual has to come

1:31:39.720 --> 1:31:42.640
<v Speaker 2>up with in his own time. I worked with a

1:31:42.680 --> 1:31:45.519
<v Speaker 2>guy named Treblanche for years and he pounded me out

1:31:45.520 --> 1:31:47.640
<v Speaker 2>and he used to just beat me to death about it.

1:31:47.680 --> 1:31:50.280
<v Speaker 2>We got to go electric and I was like, shut up, dude,

1:31:50.360 --> 1:31:52.479
<v Speaker 2>I hate it. And then then one day a light

1:31:52.520 --> 1:31:53.960
<v Speaker 2>went off, you know, I finally you know, he was

1:31:54.040 --> 1:31:56.559
<v Speaker 2>right the whole time. But it's funny.

1:31:56.920 --> 1:31:57.599
<v Speaker 8>I think you're right.

1:31:58.000 --> 1:32:00.000
<v Speaker 6>Yeah, it takes I think it takes a long time,

1:32:00.400 --> 1:32:03.799
<v Speaker 6>but then when it happens, it's like a switch is flipped,

1:32:04.000 --> 1:32:06.520
<v Speaker 6>and then all of a sudden you kind of realize

1:32:07.120 --> 1:32:07.800
<v Speaker 6>the benefits.

1:32:07.800 --> 1:32:09.280
<v Speaker 5>Not to say that.

1:32:09.160 --> 1:32:14.000
<v Speaker 6>You you know, throw away all of your love for the

1:32:14.040 --> 1:32:16.839
<v Speaker 6>bikes you've ridden in the past. The internal combustion engines.

1:32:16.880 --> 1:32:21.200
<v Speaker 6>But it's just a whole new experience. And I'm so excited.

1:32:21.200 --> 1:32:23.160
<v Speaker 6>I'm so happy that you guys are doing this, and

1:32:23.320 --> 1:32:24.519
<v Speaker 6>I'm so glad we could have had you on.

1:32:24.560 --> 1:32:24.760
<v Speaker 7>Matt.

1:32:25.280 --> 1:32:28.400
<v Speaker 2>Thank you so much. We really appreciate it, so appreciate.

1:32:28.560 --> 1:32:31.639
<v Speaker 3>Wait, so, just because folks in our control are wondering,

1:32:31.800 --> 1:32:35.200
<v Speaker 3>so how much does it? Say how much does one cost?

1:32:35.280 --> 1:32:36.720
<v Speaker 3>And you said, hyper luxury.

1:32:36.680 --> 1:32:39.879
<v Speaker 2>It's one hundred and twenty thousand that's where it starts

1:32:39.920 --> 1:32:42.519
<v Speaker 2>and it can certainly go up from there. But if

1:32:42.520 --> 1:32:45.200
<v Speaker 2>you see the bike, Carol, it's worth It's worth it.

1:32:45.479 --> 1:32:45.760
<v Speaker 5>I say it.

1:32:46.040 --> 1:32:48.160
<v Speaker 2>No one would see it. It's lovely.

1:32:48.240 --> 1:32:50.040
<v Speaker 3>I said to Matt before we get started. I was

1:32:50.120 --> 1:32:53.679
<v Speaker 3>on your website. They are gorgeous and they are unlike

1:32:53.680 --> 1:32:56.040
<v Speaker 3>anything else you see when it comes to if you're

1:32:56.080 --> 1:32:57.080
<v Speaker 3>looking at bikes.

1:32:56.920 --> 1:33:01.040
<v Speaker 6>And the engineering is revolutionary and machining, it's so precise.

1:33:01.360 --> 1:33:04.720
<v Speaker 5>It's just that it will last you for all of

1:33:04.760 --> 1:33:05.080
<v Speaker 5>a turn.

1:33:05.200 --> 1:33:08.679
<v Speaker 3>I was asking for our community. Matt, thank you so much.

1:33:08.720 --> 1:33:12.000
<v Speaker 3>Come back soon. Matt Chambers. He's chief executive Officer, Chairman

1:33:12.040 --> 1:33:15.840
<v Speaker 3>of the board of Curtis Motorcycle. Ticker is CMOT and

1:33:15.880 --> 1:33:19.559
<v Speaker 3>he's joining us from Leeds, Alabama via zoom. Carol Masser,

1:33:19.680 --> 1:33:21.880
<v Speaker 3>Matthew Miller, Matt's got a smile.

1:33:22.040 --> 1:33:22.840
<v Speaker 8>This is Bloomberg.

1:33:25.160 --> 1:33:29.800
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1:33:29.960 --> 1:33:33.439
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1:33:33.479 --> 1:33:36.759
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1:33:36.840 --> 1:33:40.200
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1:33:40.360 --> 1:33:43.080
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1:33:43.280 --> 1:33:46.639
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