WEBVTT - Bloomberg Businessweek Weekend - May 26th, 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.

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<v Speaker 2>Plus gloom O Business Finance and tech news.

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<v Speaker 1>The Bloomberg Business Week Podcast with Carol Messer and Tim

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<v Speaker 1>Stenebeck from Bloomberg Radio h.

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<v Speaker 3>NYC. See You Go, Digit Seen Us and Window bro

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<v Speaker 3>Ny Say See you Go, Dig You Seeus and Wind

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<v Speaker 3>No broke.

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<v Speaker 4>All right, everybody, a little Kanye West for you on

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<v Speaker 4>this Thursday. The reason why? Uh he or his past

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<v Speaker 4>relationship with Adidas.

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<v Speaker 5>Wait?

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<v Speaker 6>Are you sure that was Kanye West?

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<v Speaker 4>Yes?

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<v Speaker 6>Oh, okay, you're not familiar with the whole catalog. I

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<v Speaker 6>just listened to the one record.

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<v Speaker 4>I have people who make sure I get it. Re

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<v Speaker 4>okay anyway, Yes it was and he and his former

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<v Speaker 4>relationship with Adidas or Adidas, depending on how you want

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<v Speaker 4>to say it is the cover story of the new

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<v Speaker 4>show a Bloomberg Business Week, which is out on newsstands,

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<v Speaker 4>on the Bloomberg terminal at Bloomberg dot com slash business Week.

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<v Speaker 4>So let's get into it, because the relationship was great

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<v Speaker 4>while it lasted, but it's no more, so let's get

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<v Speaker 4>into it. It's a great read Kimbissine is our Bloomberg

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<v Speaker 4>News reporter covering celebrity and athlete business deals, among other things,

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<v Speaker 4>and he is here in our interactive Broker studio along

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<v Speaker 4>with Bloomberg BusinessWeek editor Joel Weber. First of all, great cover.

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<v Speaker 7>Yeah, we we do. We do it well every once

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<v Speaker 7>in a while. I think this is hopefully every week.

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<v Speaker 7>But this is one of my favorites the story. When

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<v Speaker 7>this went down last year, we were like, holy only,

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<v Speaker 7>this is a huge in sneaker world. This is a

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<v Speaker 7>huge deal. It's like you think about Nike and the

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<v Speaker 7>importance of the Air Jordan and Jordan brand to Nike Adidas.

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<v Speaker 7>For them, they created a partnership with Yay formerly Kanye

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<v Speaker 7>West correct that became ye Yeasy was a gigantic money

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<v Speaker 7>maker for Adidas. Uh, and then it all came crashing down.

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<v Speaker 7>Kim got to talk to you in.

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<v Speaker 2>The middle of it all.

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<v Speaker 3>It was.

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<v Speaker 7>It was memorable, great reporting throughout from him, and our

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<v Speaker 7>mission to him was like, go give us the definitive

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<v Speaker 7>story of what happened inside Adidas as Easy fell apart

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<v Speaker 7>and they're planning to go forward.

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<v Speaker 6>How's that working out?

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<v Speaker 3>I think I think it worked out well.

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<v Speaker 7>How's it working.

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<v Speaker 8>Yeah, So, so let me take you back to last September.

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<v Speaker 8>It's the middle of the night. I got a call

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<v Speaker 8>on my phone and a missed call and a text

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<v Speaker 8>that says, hey, it's yay, call me back.

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<v Speaker 4>Can we just sit with that for a moment.

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<v Speaker 8>Yeah, yeah, I call him back and he uh, and

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<v Speaker 8>and we we do an intervie and he says.

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<v Speaker 3>Was it the middle of the night, right like midnight

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<v Speaker 3>on a weeknight?

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<v Speaker 8>And yeah, And he says, you know, he wants to

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<v Speaker 8>get out of his deals. He's done with corporate America.

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<v Speaker 8>He wants to go out and just do it alone.

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<v Speaker 8>And three days later he sends a letter to Gap saying,

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<v Speaker 8>you know, stop selling my stuff.

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<v Speaker 3>I want out of this deal. That GAP deal falls

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<v Speaker 3>apart shortly after.

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<v Speaker 8>He starts saying more and more more crazier things and

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<v Speaker 8>went on some anti Semitic rants and talk about really

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<v Speaker 8>really toxic things, and eventually the Adida's partnership fell apart

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<v Speaker 8>as well.

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<v Speaker 6>Kim, what do you think happened to Kanye? Which is,

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<v Speaker 6>by the way, separate from your story. Your story is

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<v Speaker 6>really about Adidas, the history of the shoemaker, how they

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<v Speaker 6>lost it, versus Nike and what they're trying to do

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<v Speaker 6>to turn it around. But what you know, because I

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<v Speaker 6>hear stories about Kanye being so cool, like Danny McBride says,

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<v Speaker 6>you know, he just called him up and they started

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<v Speaker 6>hanging out and it was fun and he was a

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<v Speaker 6>good guy. But the stuff that he's said is not good.

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<v Speaker 6>So what happened to that guy?

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<v Speaker 3>It is not good.

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<v Speaker 8>I don't know what happened to that guy. So on

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<v Speaker 8>the phone, he literally asked me, do I sound crazy?

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<v Speaker 8>And at that time, no, he did not. He did

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<v Speaker 8>not sound crazy. He spent a few seconds waiting to

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<v Speaker 8>answer question, really think about it and like kind.

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<v Speaker 6>Of deliver a bar back to me.

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<v Speaker 8>So like that that interview, he did not sound like

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<v Speaker 8>he did when he went to the TMZ newsroom back

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<v Speaker 8>in twenty eighteen and went on this long rant about how.

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<v Speaker 3>Slavery was a choice. He did not do any of that.

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<v Speaker 8>But then you know, a couple of weeks later, we're

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<v Speaker 8>starting to we're starting to go again.

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<v Speaker 3>He just starts saying these things.

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<v Speaker 8>When you go back in during his time at Adidas,

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<v Speaker 8>designers will say that he was inspirational at times, but

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<v Speaker 8>as they learned more, they spent more time with him,

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<v Speaker 8>they started to complain about all the types of you know,

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<v Speaker 8>the more totalitarian ways that he ran his design studio.

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<v Speaker 7>What this really gets to, I think, Matt, is if

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<v Speaker 7>you're Adidas and you're looking to you know, make some

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<v Speaker 7>money in the shoe business, you gotta chip on your

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<v Speaker 7>shoulder about missing out in that Jordan guy. Once upon

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<v Speaker 7>a time Easy that which Yeasy existed slightly before Adidas

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<v Speaker 7>worth mentioning Nike actually did a little moment where Nike

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<v Speaker 7>was making Easy, which are some of the most coveted

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<v Speaker 7>shoes and sneakerdom, but air Easy, right, So the Yeasy thing,

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<v Speaker 7>Adidas hit it. And what it really shows is like

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<v Speaker 7>the reputational risk and like we hopefully this gets taught

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<v Speaker 7>in business schools, right, this story, because the reputational risk

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<v Speaker 7>is like you you attach yourself to Kanye, and wherever

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<v Speaker 7>Kanye goes, you go to and when Kanye goes off

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<v Speaker 7>the cliff, your your brand is now going with them,

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<v Speaker 7>right right, So.

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<v Speaker 6>Well, especially if you put all your eggs in one basket.

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<v Speaker 7>And so that was the most amazing part of this

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<v Speaker 7>as this reporting bore out as much as forty percent

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<v Speaker 7>of the profits at the company.

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<v Speaker 8>Forty percent eight percent of revenue and around forty percent

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<v Speaker 8>of a profits as according to Morgan's down.

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<v Speaker 7>So that is a gigantic yeasy shaped hole. And the

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<v Speaker 7>challenge that we had for for Kim and Tim on

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<v Speaker 7>the byline, Tim Low also in Jermany, was Okay, what's

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<v Speaker 7>the plane to fix it? So now that they have

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<v Speaker 7>this hole, what are they going to do about it?

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<v Speaker 3>What is the planet fix it?

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<v Speaker 8>So the most immediate problem before they can do any

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<v Speaker 8>of that is that they have one point three billion

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<v Speaker 8>dollars worth of Yeezies sitting in warehouses around all around

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<v Speaker 8>the world.

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<v Speaker 6>That is nuts, one point three billion dollars of sneakers

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<v Speaker 6>of sneakers.

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<v Speaker 4>So wait, why not just unstitch the logo?

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<v Speaker 8>Because can you imagine the amount of manpower that would

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<v Speaker 8>wait individually unstitching every little easy?

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<v Speaker 1>But they thought about it.

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<v Speaker 3>They did, They thought about they thought about burning it.

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<v Speaker 8>They thought about, yeah, donating them, donate just fully donating

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<v Speaker 8>them to huge, chopping them up, chopping them up and

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<v Speaker 8>turning them into fields like the turf on a soccer

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<v Speaker 8>field is made out a little bit.

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<v Speaker 7>Don't you want to be in that meeting? It's like Okay,

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<v Speaker 7>what would you walk us through the options of what

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<v Speaker 7>we can do here?

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<v Speaker 6>But the most interesting I think was the donating them

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<v Speaker 6>makes a lot of sense and would be amazing. Right,

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<v Speaker 6>You've got refugees or people that are hit by natural disasters.

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<v Speaker 6>They need shoes. But the problem that they found was

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<v Speaker 6>what there could be too much trafficking.

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<v Speaker 8>You probably sell this worth two hundred and fIF three hundred,

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<v Speaker 8>four hundred American dollars. Sure a refugee would love for him.

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<v Speaker 8>They would love for American so would Adidas. Is what

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<v Speaker 8>they landed on. Right, So now they're going to sell

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<v Speaker 8>the shoes at beginning May thirty. First, they're going to

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<v Speaker 8>start selling this huge stockpile of billion dollar stockpile of yasis.

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<v Speaker 8>And they say, they say they will donate a portion

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<v Speaker 8>of the proceeds to charity.

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<v Speaker 7>And what happens to the money that Easy.

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<v Speaker 6>Used to generate?

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<v Speaker 7>Well, no, no, that that Kanye would give a little yeah, exactly,

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<v Speaker 7>so his side of his wide to the steel. Because

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<v Speaker 7>this is really interesting, right, Like part of this the

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<v Speaker 7>way this steal is structured was that Kanye gets a

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<v Speaker 7>portion of the revenue of every shoe that's.

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<v Speaker 8>Sold, right, right, And that was a big part of

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<v Speaker 8>the original deal that he signed.

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<v Speaker 3>Nike would not give him royalties on the air yeasy.

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<v Speaker 7>Because he wasn't an athlete.

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<v Speaker 8>Because he wasn't an athlete. He said, he was an athlete.

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<v Speaker 8>I am a performance athlete and I play one on No.

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<v Speaker 8>One on stage in Madison Square Garden.

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<v Speaker 3>Is what he said.

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<v Speaker 6>I saw his point, by the way, I think he is.

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<v Speaker 6>He's a performer for sure.

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<v Speaker 3>Yeah, but they wouldn't give him that deal. Adidas would.

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<v Speaker 8>So now he makes an eleven percent royalty on this

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<v Speaker 8>and those shoes that were made during the time they

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<v Speaker 8>probably do have to pay.

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<v Speaker 3>Kanye has cut. It's fair enough.

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<v Speaker 4>So what does Adidas do or Audidas do going forward?

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<v Speaker 5>Right?

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<v Speaker 4>They obviously have a big hole well to fill.

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<v Speaker 7>There's been some churn in that time, right, Like, so

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<v Speaker 7>what happened in the boardroom?

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<v Speaker 8>Yeah, at the at the top level here. So Bjorn

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<v Speaker 8>Golden is their new CEO. He comes over from Puma

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<v Speaker 8>at the start of the year.

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<v Speaker 7>We have a sidebar, yeah, because wow, the Adida is

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<v Speaker 7>Puma thing.

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<v Speaker 4>If you didn't know this that each other, right, No,

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<v Speaker 4>they didn't.

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<v Speaker 2>I know.

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<v Speaker 3>You have to go back to the World War Two.

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<v Speaker 3>This goes back to World War Two and.

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<v Speaker 7>Two brothers who fell out Nazis and Nazi brothers who

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<v Speaker 7>fell out.

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<v Speaker 6>Well, everybody in the country at that point was a Nazi.

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<v Speaker 6>I mean like you had to join the party.

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<v Speaker 4>Shoot you the history is incredible.

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<v Speaker 8>One of them went to war, one of them stayed

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<v Speaker 8>home to run the factory. They they came back, they

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<v Speaker 8>had a bitter feud. They split their company, uh, and

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<v Speaker 8>they opened two sneaker empires across the road from each

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<v Speaker 8>other in the same small town in Bavaria.

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<v Speaker 6>By the way, did you watch Dust Blunder.

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<v Speaker 3>I did not great movie, A great movie.

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<v Speaker 6>Did not see that coming about Annie Dossler making the

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<v Speaker 6>first exchangeable spikes for the German national team after you know,

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<v Speaker 6>they'd lost the war and they lost there you know,

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<v Speaker 6>any kind of national pride, and then they actually came

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<v Speaker 6>up and won a World Cup. I think it was

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<v Speaker 6>in nineteen fifty and it was the first time they've

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<v Speaker 6>ever had spikes that could be changed for different grass conditions.

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<v Speaker 6>So he was like an innovator as well.

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<v Speaker 9>Did they win?

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<v Speaker 3>They won?

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<v Speaker 1>Yeah?

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<v Speaker 3>There you go.

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<v Speaker 4>Yeah, Okay, that's the other side bar you guys.

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<v Speaker 6>Yeah, but so but Puma it's interesting that they bring

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<v Speaker 6>a leader from Puma. Another leader from Puma run Tarley Davidson.

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<v Speaker 6>Right now, y'all con sites used to run Puma. But

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<v Speaker 6>now they've brought this new guy because Carson worshtead he'll

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<v Speaker 6>like screwed everything up.

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<v Speaker 3>It was.

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<v Speaker 8>It was a tough It was a tough period and

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<v Speaker 8>at the beginning it seemed like he was onto something right.

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<v Speaker 8>He came in did did a bunch of cost cutting.

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<v Speaker 8>E commerce is the thing. E commerce big. You know,

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<v Speaker 8>I like to buy how people do love to buy

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<v Speaker 8>things on the information super Highway.

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<v Speaker 4>I didn't.

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<v Speaker 3>Yeah, it's it's crazy.

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<v Speaker 8>But over time, you know, product cycles started to go

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<v Speaker 8>out of whack, and as other things failed, then Yay's

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<v Speaker 8>business within the datas became a larger and larger piece

0:10:58.320 --> 0:11:00.600
<v Speaker 8>of the of the fit pie.

0:11:00.960 --> 0:11:03.840
<v Speaker 4>So do they pursue Can they pursue something akin to

0:11:03.880 --> 0:11:06.320
<v Speaker 4>what they had with you? Or is there I don't know, Like,

0:11:06.360 --> 0:11:09.280
<v Speaker 4>how are they thinking about their way forward? They have product?

0:11:09.320 --> 0:11:11.920
<v Speaker 4>I mean, I have a young daughter. She was wearing

0:11:12.080 --> 0:11:14.760
<v Speaker 4>Adida sneakers. At one point they go.

0:11:14.720 --> 0:11:17.200
<v Speaker 6>Back, you were paying like a five hundred dollars pair

0:11:17.240 --> 0:11:18.400
<v Speaker 6>of Yeezies were you Ye.

0:11:18.440 --> 0:11:21.840
<v Speaker 4>That wasn't happening expensive, But I'm just saying, so, what

0:11:21.920 --> 0:11:23.000
<v Speaker 4>is the way forward here?

0:11:23.400 --> 0:11:28.679
<v Speaker 8>Yeah, the new CEO says, you can't replace it with

0:11:28.800 --> 0:11:33.160
<v Speaker 8>just one thing. And Adidas has this habit of just

0:11:33.200 --> 0:11:35.480
<v Speaker 8>going back to its oldest stuff again and again and

0:11:35.520 --> 0:11:39.080
<v Speaker 8>again and just changing a little bit, updating it, new colors, new.

0:11:39.040 --> 0:11:40.959
<v Speaker 7>To their credit, sometimes it's really worked, and.

0:11:40.960 --> 0:11:43.720
<v Speaker 3>It has worked many many times over the years.

0:11:43.720 --> 0:11:47.520
<v Speaker 8>You bring Backstance, you bring back Superstars, you bring back Sambas,

0:11:47.520 --> 0:11:50.240
<v Speaker 8>you bring back Gazelle's. These are all designs that were

0:11:50.320 --> 0:11:53.320
<v Speaker 8>that were that whose origins are all the way back

0:11:53.320 --> 0:11:56.439
<v Speaker 8>in the sixties and seventies. This is like before Nike existed.

0:11:56.520 --> 0:11:59.200
<v Speaker 8>Those shoes in the sixties were made. Now, you didn't

0:11:59.200 --> 0:12:01.440
<v Speaker 8>come out till the seventies, wasn't really a factor until

0:12:01.720 --> 0:12:05.040
<v Speaker 8>on the global stage until Jordan and eighty four.

0:12:05.600 --> 0:12:09.360
<v Speaker 7>And so the back to the vault, though, what does

0:12:09.400 --> 0:12:11.760
<v Speaker 7>that look like in this version of it? From what

0:12:11.800 --> 0:12:12.439
<v Speaker 7>we can tell so.

0:12:12.440 --> 0:12:17.080
<v Speaker 8>Far, Samba's first, right, Sambas seem to be hot right now.

0:12:17.320 --> 0:12:19.000
<v Speaker 3>The new CEO says he wants.

0:12:18.760 --> 0:12:22.319
<v Speaker 8>To be quicker to latch onto trends, and they've identified

0:12:23.400 --> 0:12:24.720
<v Speaker 8>the samba.

0:12:24.200 --> 0:12:27.240
<v Speaker 3>As what they need to go toward at this moment.

0:12:27.320 --> 0:12:31.199
<v Speaker 8>So they're they're asking for more product from factories in

0:12:31.240 --> 0:12:33.600
<v Speaker 8>Asia and getting that into stores as quick as quickly

0:12:33.600 --> 0:12:34.080
<v Speaker 8>as they can.

0:12:35.200 --> 0:12:38.240
<v Speaker 7>And it also looks a little bit like maybe playing

0:12:38.240 --> 0:12:40.760
<v Speaker 7>into some sports that people have forgotten about too, that

0:12:40.800 --> 0:12:44.800
<v Speaker 7>Adidas was once known for, like wrestling, boxing, et cetera.

0:12:45.000 --> 0:12:49.680
<v Speaker 8>They like the specialty stuff for for certain sports when

0:12:50.120 --> 0:12:53.440
<v Speaker 8>these aren't enormous enormous You're not. It's not a billion

0:12:53.480 --> 0:12:56.520
<v Speaker 8>dollar business in boxing, right, but it's certainly something that

0:12:56.559 --> 0:12:57.280
<v Speaker 8>you can capitalize.

0:12:57.320 --> 0:12:59.600
<v Speaker 6>And Muhammad Ali or audious exact sity.

0:12:59.640 --> 0:13:02.280
<v Speaker 4>Oh yeah, has he called you since the story came out?

0:13:02.320 --> 0:13:05.240
<v Speaker 3>He has not talked to me for several months now.

0:13:05.240 --> 0:13:09.480
<v Speaker 7>He's ghosted, right, He hasn't really been seen or talked

0:13:09.480 --> 0:13:12.760
<v Speaker 7>about or talked to almost any anyone.

0:13:12.880 --> 0:13:15.640
<v Speaker 8>Yeah, he's pretty he's pretty much out of the public eye.

0:13:15.679 --> 0:13:17.120
<v Speaker 8>You'll see him in the tableaus every once in a

0:13:17.160 --> 0:13:20.200
<v Speaker 8>while in l A, just some photos of him. But

0:13:20.200 --> 0:13:24.160
<v Speaker 8>but he hasn't been speaking too often to the press, like.

0:13:24.120 --> 0:13:24.800
<v Speaker 6>He's a recluse.

0:13:24.880 --> 0:13:26.679
<v Speaker 4>Now would you want to ask what would you ask him?

0:13:26.679 --> 0:13:26.839
<v Speaker 10>Though?

0:13:26.880 --> 0:13:29.719
<v Speaker 4>At this point, after all this reporting you've done.

0:13:29.960 --> 0:13:32.520
<v Speaker 8>Yeah, I want to Yeah, I want I want to know, like,

0:13:33.400 --> 0:13:35.559
<v Speaker 8>have his opinions changed at all?

0:13:35.640 --> 0:13:37.880
<v Speaker 4>There was apparently there was a a lot of money

0:13:37.920 --> 0:13:39.840
<v Speaker 4>off of this, right he deal.

0:13:39.840 --> 0:13:44.240
<v Speaker 8>He uh at the very beginning when he called me

0:13:44.280 --> 0:13:46.800
<v Speaker 8>and told me that he wanted out of these deals

0:13:46.800 --> 0:13:48.000
<v Speaker 8>and wanted to go it alone.

0:13:48.080 --> 0:13:48.240
<v Speaker 10>Right.

0:13:49.120 --> 0:13:51.160
<v Speaker 8>I don't know how much of that I truly believed

0:13:51.200 --> 0:13:54.720
<v Speaker 8>he was going to do because I knew. I've seen

0:13:54.760 --> 0:13:58.040
<v Speaker 8>the I've seen the documents on this. He was making

0:13:58.840 --> 0:14:02.320
<v Speaker 8>nearly two hundred million dollar a year in royalties off

0:14:02.360 --> 0:14:06.440
<v Speaker 8>of this, and you're just gonna throw that away. Yeah,

0:14:06.559 --> 0:14:08.600
<v Speaker 8>it seems seems like it.

0:14:08.200 --> 0:14:09.400
<v Speaker 6>Amazing according to him.

0:14:09.600 --> 0:14:11.520
<v Speaker 3>Didn't need him, right according to him?

0:14:11.559 --> 0:14:14.520
<v Speaker 6>Yeah, yeah, So well, I feel like that's to his credit. Right,

0:14:14.520 --> 0:14:16.319
<v Speaker 6>If you can really stand up and say I don't

0:14:16.440 --> 0:14:18.920
<v Speaker 6>need these corporate shackles, even if it's two hundred million

0:14:18.920 --> 0:14:21.440
<v Speaker 6>dollars a year, and you can throw them off, that's amazing.

0:14:21.920 --> 0:14:24.600
<v Speaker 6>But if you then it's a big budd sort of

0:14:25.400 --> 0:14:30.560
<v Speaker 6>turn into this like racist, anti Semitic spokesperson. That's not cool.

0:14:30.600 --> 0:14:33.360
<v Speaker 4>There's a few things we need to figure out. Incredible

0:14:33.360 --> 0:14:36.680
<v Speaker 4>piece of reporting, really great read Kim Bessine Slippers and

0:14:36.680 --> 0:14:38.600
<v Speaker 4>Athletes reporter at Bloomberg News. It's the cover story of

0:14:38.640 --> 0:14:41.000
<v Speaker 4>the new issue of Bloomberg BusinessWeek, joining us along with

0:14:41.040 --> 0:14:44.200
<v Speaker 4>the editor Jill Weber here in studio. Check it out

0:14:44.240 --> 0:14:46.040
<v Speaker 4>great for the upcoming holiday read.

0:14:46.440 --> 0:14:50.000
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:14:50.040 --> 0:14:53.720
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:14:53.920 --> 0:14:55.480
<v Speaker 1>the Bloomberg Business app.

0:14:55.280 --> 0:14:56.160
<v Speaker 2>And YouTube.

0:14:56.200 --> 0:14:59.200
<v Speaker 1>You can also listen live to our flagship New York station,

0:14:59.760 --> 0:15:02.720
<v Speaker 1>Just Say Alexa, Play Bloomberg, E Love and thirty.

0:15:03.880 --> 0:15:07.120
<v Speaker 4>All right, zoom was certainly an indication of how we

0:15:07.120 --> 0:15:09.680
<v Speaker 4>were working during the pandemic. But we've really leaned on

0:15:09.720 --> 0:15:11.840
<v Speaker 4>the team over at Microsoft three sixty five for how

0:15:11.880 --> 0:15:15.320
<v Speaker 4>we are working, yes, then, but also today, and they've

0:15:15.320 --> 0:15:19.200
<v Speaker 4>got a new report out that finds that there's not

0:15:19.240 --> 0:15:21.720
<v Speaker 4>necessarily any need to be worried about AI. Of course,

0:15:21.800 --> 0:15:25.480
<v Speaker 4>to be fair, Microsoft is deep into AI, really awakening

0:15:25.520 --> 0:15:27.480
<v Speaker 4>the world earlier this year with its ten billion dollar

0:15:27.560 --> 0:15:30.840
<v Speaker 4>investment into Open AI's chat GBT. So even so, our

0:15:30.880 --> 0:15:32.960
<v Speaker 4>next guest is here to help answer the question will

0:15:33.000 --> 0:15:36.200
<v Speaker 4>AI fix work? And great to have back with us. Jared'

0:15:36.200 --> 0:15:39.080
<v Speaker 4>Spataro He is Corporate VP of Modern Work and Business

0:15:39.080 --> 0:15:42.560
<v Speaker 4>Applications at Microsoft three sixty five. Once again on zoom

0:15:42.600 --> 0:15:44.560
<v Speaker 4>in Redman, Washington, Jared, how are you.

0:15:45.640 --> 0:15:47.520
<v Speaker 11>Oh, I'm doing great. Great to be back with you, Carol.

0:15:47.640 --> 0:15:49.320
<v Speaker 4>Yeah, great to have you here with us. So tell

0:15:49.400 --> 0:15:52.080
<v Speaker 4>us about this inquiry into AI. What you guys? I mean?

0:15:52.080 --> 0:15:53.800
<v Speaker 4>The question is I've got the report in front of me,

0:15:53.880 --> 0:15:56.960
<v Speaker 4>will AI fix work? And I think everybody's trying to

0:15:57.000 --> 0:15:58.840
<v Speaker 4>figure it out. I kind of can't wait because I

0:15:58.880 --> 0:16:01.840
<v Speaker 4>think it can be an assist in my job. But

0:16:01.920 --> 0:16:04.480
<v Speaker 4>tell us about what you looked into, questions you asked,

0:16:04.520 --> 0:16:05.680
<v Speaker 4>and who you talk to.

0:16:06.680 --> 0:16:09.480
<v Speaker 11>Maybe let's look at what's broken first. So this particular

0:16:09.560 --> 0:16:12.200
<v Speaker 11>survey is our annual survey thirty one thousand people across

0:16:12.200 --> 0:16:15.200
<v Speaker 11>thirty one countries, and the first number that popped out

0:16:15.240 --> 0:16:18.160
<v Speaker 11>to me is exactly that fix that's needed. Sixty four

0:16:18.240 --> 0:16:20.760
<v Speaker 11>percent of people who respond and told us that they

0:16:20.800 --> 0:16:23.080
<v Speaker 11>just don't have the time or energy to get their

0:16:23.160 --> 0:16:25.280
<v Speaker 11>jobs done. And we thought that that was really interesting

0:16:25.600 --> 0:16:27.560
<v Speaker 11>coming out of the pandemic. People are tired, but it

0:16:27.640 --> 0:16:29.920
<v Speaker 11>seemed to be more than that. So we combine that

0:16:29.920 --> 0:16:32.520
<v Speaker 11>with our telemetry data. This is the cloud data where

0:16:32.520 --> 0:16:34.320
<v Speaker 11>we see how people are working, what they're up to.

0:16:34.760 --> 0:16:37.280
<v Speaker 11>We found that up to about sixty percent of the

0:16:37.320 --> 0:16:41.480
<v Speaker 11>average day average workers day is spent communicating and coordinating.

0:16:41.560 --> 0:16:44.080
<v Speaker 11>Only forty percent is kind of spent on that day job,

0:16:44.120 --> 0:16:46.200
<v Speaker 11>the thing that they're supposed to provide to the organization.

0:16:46.320 --> 0:16:50.080
<v Speaker 11>So really interesting setup right now as people are feeling tired,

0:16:50.120 --> 0:16:51.280
<v Speaker 11>and for good reason.

0:16:51.520 --> 0:16:54.480
<v Speaker 12>And Jerry, something that strikes me anytime I talk to anyone,

0:16:54.640 --> 0:16:56.880
<v Speaker 12>they're always concerned about when it comes to AI, maybe

0:16:56.880 --> 0:16:59.240
<v Speaker 12>they could potentially be replaced when it comes to their job.

0:16:59.440 --> 0:17:01.720
<v Speaker 12>Looking at your sty it's interesting as far as how

0:17:01.760 --> 0:17:05.120
<v Speaker 12>AI is poised to create this whole new way of working,

0:17:05.160 --> 0:17:08.080
<v Speaker 12>what would be the counter to that? And the benefits

0:17:08.080 --> 0:17:10.720
<v Speaker 12>of AI were you might not necessarily be losing your job,

0:17:10.760 --> 0:17:11.760
<v Speaker 12>it could actually assist you.

0:17:12.680 --> 0:17:14.760
<v Speaker 11>Well, we'll start with the fear. There's still a little

0:17:14.800 --> 0:17:16.920
<v Speaker 11>bit of fear there. Almost fifty percent, it was forty

0:17:16.960 --> 0:17:18.879
<v Speaker 11>nine percent of people who responded told us that they

0:17:18.920 --> 0:17:21.120
<v Speaker 11>were afraid that AI would come and take their job,

0:17:21.680 --> 0:17:25.399
<v Speaker 11>but that was overshadowed by another number. A wopping seventy

0:17:25.440 --> 0:17:28.719
<v Speaker 11>percent told us that despite that fear, they actually would

0:17:28.840 --> 0:17:32.000
<v Speaker 11>outsource everything they could to an AI assistant just to

0:17:32.040 --> 0:17:35.040
<v Speaker 11>help them relieve the burden. So there's this sense that

0:17:35.080 --> 0:17:37.800
<v Speaker 11>their optimism, or at least their need for help for

0:17:37.960 --> 0:17:40.919
<v Speaker 11>AI based help, really outweighs their fears. And that's a

0:17:40.960 --> 0:17:43.360
<v Speaker 11>pretty interesting nuance on many of the headlines that we've

0:17:43.359 --> 0:17:44.680
<v Speaker 11>been hearing for the last couple of months.

0:17:44.720 --> 0:17:47.119
<v Speaker 4>Well, I'm thinking about email alone. I mean, I'm going

0:17:47.200 --> 0:17:48.760
<v Speaker 4>to be quite honest with you, there's a ton of

0:17:48.760 --> 0:17:50.760
<v Speaker 4>email that I never even get to read because it's

0:17:50.880 --> 0:17:53.120
<v Speaker 4>just a ton of stuff that people are either pitching

0:17:53.320 --> 0:17:56.119
<v Speaker 4>or research. And I definitely have figured out ways to

0:17:56.160 --> 0:17:58.199
<v Speaker 4>kind of weed through do certain searches so that I

0:17:58.280 --> 0:18:00.600
<v Speaker 4>really make sure I don't miss some of the important stuff.

0:18:00.600 --> 0:18:04.040
<v Speaker 4>But how could AI ultimately help us in filtering through

0:18:04.520 --> 0:18:08.320
<v Speaker 4>what is dumped into our email boxes on a regular basis.

0:18:09.040 --> 0:18:12.119
<v Speaker 11>Well, many of your listeners are probably familiar with chat GPT,

0:18:12.320 --> 0:18:15.919
<v Speaker 11>introduced last year, and it's particularly good, it's summarizing, and

0:18:15.960 --> 0:18:18.280
<v Speaker 11>so I've been using a product that we call Copilot

0:18:18.280 --> 0:18:21.440
<v Speaker 11>Microsoft through sixty five Copilot. It essentially takes the models

0:18:21.440 --> 0:18:24.719
<v Speaker 11>behind chat GPT, these large language models, and integrates it

0:18:24.800 --> 0:18:28.280
<v Speaker 11>directly into your email, into Outlook and This does amazing things.

0:18:28.280 --> 0:18:30.320
<v Speaker 11>It allows you to, for instance, get a long those

0:18:30.440 --> 0:18:32.640
<v Speaker 11>long email threads where you're supposed to go read from

0:18:32.640 --> 0:18:35.000
<v Speaker 11>the bottom up, and it can summarize that just in

0:18:35.040 --> 0:18:37.720
<v Speaker 11>one click. And then once it's summarized, it actually gives

0:18:37.720 --> 0:18:40.520
<v Speaker 11>you a couple of different prompts or those are different

0:18:40.840 --> 0:18:42.840
<v Speaker 11>things you can choose from to answer, so it will

0:18:42.840 --> 0:18:45.000
<v Speaker 11>author an answer, allow you to make it longer, shorter,

0:18:45.359 --> 0:18:48.679
<v Speaker 11>more formal, more casual. It is changed the way I

0:18:48.720 --> 0:18:51.280
<v Speaker 11>do email. I never want to do email without it again,

0:18:51.320 --> 0:18:53.679
<v Speaker 11>so it definitely changes work habits and practices.

0:18:53.840 --> 0:18:56.000
<v Speaker 4>Well, so just share with me because, like I said

0:18:56.000 --> 0:18:57.880
<v Speaker 4>at the top, I mean to be fair. You guys

0:18:57.920 --> 0:19:00.520
<v Speaker 4>are all in on AI, no doubt about it. And

0:19:01.040 --> 0:19:05.280
<v Speaker 4>in many ways that news of the Microsoft investment really

0:19:05.280 --> 0:19:07.480
<v Speaker 4>did kind of wake up the world in terms of

0:19:07.560 --> 0:19:10.600
<v Speaker 4>what you folks were doing. Specifically, Now everybody's talking about it.

0:19:10.760 --> 0:19:12.679
<v Speaker 4>As you guys have been playing around with it. What

0:19:12.760 --> 0:19:15.960
<v Speaker 4>are you finding are the great capabilities? What are still

0:19:16.000 --> 0:19:17.240
<v Speaker 4>the things that need to be worked out?

0:19:18.920 --> 0:19:21.439
<v Speaker 11>The five seconds to wow type demo I do with

0:19:21.520 --> 0:19:23.840
<v Speaker 11>customers is in a meeting, So in a meeting like

0:19:23.840 --> 0:19:25.760
<v Speaker 11>this that would be just a normal business meeting, we're

0:19:25.760 --> 0:19:28.879
<v Speaker 11>trading kind of conversation back and forward. And what it

0:19:28.880 --> 0:19:31.119
<v Speaker 11>can do there is it can literally listen in as

0:19:31.200 --> 0:19:33.320
<v Speaker 11>if it were an assistant to the meeting and summarize.

0:19:33.359 --> 0:19:36.239
<v Speaker 11>That means, it can write notes. It can respond when

0:19:36.240 --> 0:19:38.280
<v Speaker 11>I ask questions like what did Carol say again? Or

0:19:38.320 --> 0:19:40.879
<v Speaker 11>how did Jared answer this question? It can allow me,

0:19:40.920 --> 0:19:42.840
<v Speaker 11>for instance, to identify, you know, what are the two

0:19:42.880 --> 0:19:45.520
<v Speaker 11>sides of this argument and who's in favor of which one.

0:19:45.560 --> 0:19:48.480
<v Speaker 11>It actually is incredibly valuable in a meeting. And then

0:19:48.480 --> 0:19:50.280
<v Speaker 11>even better than that, Carol. The thing that I love

0:19:50.400 --> 0:19:53.680
<v Speaker 11>is it allows me to attend meetings, so I can

0:19:54.000 --> 0:19:57.000
<v Speaker 11>not attend a meeting and then using that same GPT

0:19:57.200 --> 0:19:59.719
<v Speaker 11>large language model query the meeting after the fact, did

0:19:59.720 --> 0:20:02.679
<v Speaker 11>they have mention my name or any decisions made? What

0:20:02.840 --> 0:20:05.679
<v Speaker 11>decisions why did they make them? So it opens up

0:20:05.720 --> 0:20:08.520
<v Speaker 11>these brand new possibilities for work because it kind of

0:20:08.880 --> 0:20:11.199
<v Speaker 11>blurs time and space. You know, it's as if you

0:20:11.240 --> 0:20:14.000
<v Speaker 11>could be there, but you're not there, and you're able

0:20:14.040 --> 0:20:16.480
<v Speaker 11>to use the power of AI here to kind of

0:20:16.480 --> 0:20:19.679
<v Speaker 11>get into the dynamics of people even just having regular conversations.

0:20:19.720 --> 0:20:21.840
<v Speaker 11>So just one example, but it's integrated across all of

0:20:21.880 --> 0:20:25.480
<v Speaker 11>our products. We talked about email or PowerPoint, all of

0:20:25.480 --> 0:20:26.000
<v Speaker 11>those things.

0:20:26.080 --> 0:20:28.840
<v Speaker 4>What's the thing though, that is still tricky because we

0:20:28.880 --> 0:20:31.480
<v Speaker 4>talk about AI kind of working alongside of us and

0:20:31.800 --> 0:20:33.600
<v Speaker 4>we don't have to go to the meeting. Yea, who,

0:20:34.440 --> 0:20:38.359
<v Speaker 4>But I do wonder what are the things that you know?

0:20:38.480 --> 0:20:41.480
<v Speaker 4>People say you can't really you know, duplicate a human

0:20:41.520 --> 0:20:43.119
<v Speaker 4>in terms of their perception of things, and so on

0:20:43.160 --> 0:20:45.080
<v Speaker 4>and so forth. So what do would you say that

0:20:45.160 --> 0:20:47.120
<v Speaker 4>we still need to be cautious about or we're still

0:20:47.160 --> 0:20:49.040
<v Speaker 4>figuring out or you guys are still figuring out when

0:20:49.080 --> 0:20:49.720
<v Speaker 4>it comes to this.

0:20:50.800 --> 0:20:53.640
<v Speaker 11>Very astute question, because it turns out, while these things

0:20:53.640 --> 0:20:56.920
<v Speaker 11>are incredibly useful, they do make mistakes. And these things,

0:20:56.920 --> 0:20:59.919
<v Speaker 11>I mean the AI assistance that we have, so they

0:21:00.080 --> 0:21:03.000
<v Speaker 11>get it wrong sometimes. In fact, the technical term is hallucination.

0:21:03.160 --> 0:21:05.439
<v Speaker 11>If you believe that that literally is the term they

0:21:05.440 --> 0:21:08.320
<v Speaker 11>make stuff up. So the reason that we use copilot

0:21:08.359 --> 0:21:10.600
<v Speaker 11>as a name for our product is really the signal

0:21:10.640 --> 0:21:13.000
<v Speaker 11>to the user, Hey, this is an autopilot. You can't

0:21:13.040 --> 0:21:15.000
<v Speaker 11>just take the answers and say there you go, I'm

0:21:15.000 --> 0:21:16.880
<v Speaker 11>going to fire this off as an email. You really

0:21:16.880 --> 0:21:18.719
<v Speaker 11>have to be in the driver's seat, You have to

0:21:18.760 --> 0:21:21.560
<v Speaker 11>make the decisions. But the great news is my experience

0:21:21.560 --> 0:21:23.320
<v Speaker 11>has been when it is wrong, it's what we call

0:21:23.480 --> 0:21:25.520
<v Speaker 11>usefully wrong, So it doesn't just make things up. To

0:21:25.600 --> 0:21:28.159
<v Speaker 11>make things up. Sometimes we'll feel in details where it

0:21:28.200 --> 0:21:30.040
<v Speaker 11>didn't have all the data. You can go in and

0:21:30.080 --> 0:21:32.280
<v Speaker 11>correct that, tweet that and then it's put you ahead

0:21:32.320 --> 0:21:33.160
<v Speaker 11>of the game anyway.

0:21:33.359 --> 0:21:35.560
<v Speaker 12>So how long do you think this could take before

0:21:35.680 --> 0:21:39.159
<v Speaker 12>it's more widespread with users that could potentially use this

0:21:39.280 --> 0:21:41.120
<v Speaker 12>type of things in meetings when you do have still

0:21:41.160 --> 0:21:43.600
<v Speaker 12>some of these hiccups and glitches that could happen with AI.

0:21:44.800 --> 0:21:46.680
<v Speaker 11>We just introduced a couple of weeks ago that we're

0:21:46.680 --> 0:21:49.200
<v Speaker 11>expanding what we call our Preview program to six hundred

0:21:49.280 --> 0:21:51.680
<v Speaker 11>enterprises around the world, so we'll have hundreds of thousands

0:21:51.720 --> 0:21:54.199
<v Speaker 11>of users here in the coming months. So that's kind

0:21:54.240 --> 0:21:56.159
<v Speaker 11>of the scale that it's out at right now. But

0:21:56.200 --> 0:21:58.399
<v Speaker 11>it's moving very quickly. On my team, we talk about

0:21:58.400 --> 0:22:01.440
<v Speaker 11>AI time, the psyche time of the industry has really

0:22:01.440 --> 0:22:03.280
<v Speaker 11>increased as we're able to build on top of these

0:22:03.280 --> 0:22:05.639
<v Speaker 11>technologies really quickly. So I don't think it'll be a

0:22:05.680 --> 0:22:07.320
<v Speaker 11>matter of years. I do think it'll be a matter

0:22:07.359 --> 0:22:09.440
<v Speaker 11>of months until you start to see these tools being

0:22:09.520 --> 0:22:10.480
<v Speaker 11>used all over the place.

0:22:10.600 --> 0:22:12.640
<v Speaker 4>You know, for someone who has been you know, focusing

0:22:12.680 --> 0:22:16.080
<v Speaker 4>on workplace trends and coming off a really crazy period,

0:22:16.200 --> 0:22:19.159
<v Speaker 4>you know, meaning the pandemic specifically, and we're able to

0:22:19.200 --> 0:22:21.919
<v Speaker 4>track a lot of things. How are you kind of

0:22:22.160 --> 0:22:28.520
<v Speaker 4>placing generative AI machine learning in kind of I don't know,

0:22:28.640 --> 0:22:32.440
<v Speaker 4>is it akin to some other great or interesting development

0:22:32.680 --> 0:22:34.520
<v Speaker 4>in terms of how we work? Like, how do you

0:22:34.560 --> 0:22:37.760
<v Speaker 4>position it historically or technologically for that matter.

0:22:38.680 --> 0:22:41.280
<v Speaker 11>We think it's as big as the PC revolution or

0:22:41.280 --> 0:22:43.439
<v Speaker 11>as big as the Internet. We think it's that big.

0:22:43.600 --> 0:22:46.440
<v Speaker 11>You know, if I again frame it, we would say, wow,

0:22:46.480 --> 0:22:50.200
<v Speaker 11>you couldn't write a script like this if you were trying. Really,

0:22:50.200 --> 0:22:53.320
<v Speaker 11>what the pandemic did is is rewire the where and

0:22:53.400 --> 0:22:56.120
<v Speaker 11>the when of work. So it changed entirely around the world,

0:22:56.200 --> 0:22:58.920
<v Speaker 11>you know, those two dimensions of work. All of a sudden,

0:22:59.000 --> 0:23:01.920
<v Speaker 11>AI is changing the how of work. By the time

0:23:01.960 --> 0:23:04.920
<v Speaker 11>we get kind of roughly four years out from the pandemic,

0:23:04.920 --> 0:23:08.080
<v Speaker 11>the combination of those two things will have really just

0:23:08.240 --> 0:23:11.040
<v Speaker 11>changed patterns practices associated with work. My kids, as they

0:23:11.080 --> 0:23:13.120
<v Speaker 11>go to work, they're not going to enter a work

0:23:13.200 --> 0:23:15.880
<v Speaker 11>environment anything like, I did you know twenty five years ago?

0:23:16.160 --> 0:23:19.880
<v Speaker 4>Is that good or bad? Bottomly, because you know things

0:23:19.880 --> 0:23:21.320
<v Speaker 4>they're never right black and.

0:23:21.280 --> 0:23:22.800
<v Speaker 11>White, like it's it's that's right.

0:23:22.880 --> 0:23:25.360
<v Speaker 4>We're worried about people not really talking to each other.

0:23:25.560 --> 0:23:28.040
<v Speaker 4>I have a colleague, Matt Miller, who laughs at when

0:23:28.040 --> 0:23:29.880
<v Speaker 4>we all get on a zoom call and we're literally

0:23:29.920 --> 0:23:32.639
<v Speaker 4>like right next to each other. But I'm sitting there typing,

0:23:32.880 --> 0:23:36.240
<v Speaker 4>you know, notes, and you know, it's just interesting.

0:23:37.880 --> 0:23:39.560
<v Speaker 11>My response to that is I would say, you know,

0:23:39.640 --> 0:23:42.440
<v Speaker 11>AI giveth an Ai taketh away, Like we have this moment,

0:23:42.480 --> 0:23:44.240
<v Speaker 11>and the way we think about it is what have

0:23:44.320 --> 0:23:46.399
<v Speaker 11>we gained and what have we lost? And how do

0:23:46.440 --> 0:23:48.280
<v Speaker 11>we lose as little as possible? And how do we

0:23:48.320 --> 0:23:50.640
<v Speaker 11>gain as much as possible. But you're exactly right, these

0:23:50.680 --> 0:23:52.240
<v Speaker 11>big if it's as big as the PC, you know,

0:23:52.280 --> 0:23:54.320
<v Speaker 11>if you really believe that it's that type of shift,

0:23:54.600 --> 0:23:56.680
<v Speaker 11>then you do have to recognize, Wow, this is probably

0:23:56.720 --> 0:23:59.320
<v Speaker 11>the beginning of an era, a new era. We should

0:23:59.320 --> 0:24:00.919
<v Speaker 11>be really thoughtful about what we want to make sure

0:24:00.960 --> 0:24:02.719
<v Speaker 11>we don't lose in that process. But that will take

0:24:02.760 --> 0:24:04.160
<v Speaker 11>all of us, you know, we're all learning.

0:24:03.920 --> 0:24:04.280
<v Speaker 3>As we go.

0:24:04.600 --> 0:24:06.280
<v Speaker 4>Yeah, right, And the more we use it though, right,

0:24:06.320 --> 0:24:08.520
<v Speaker 4>the smarter or more specific it becomes.

0:24:08.680 --> 0:24:09.000
<v Speaker 13>Jared.

0:24:09.119 --> 0:24:11.480
<v Speaker 4>Nice to check in with you again. Jared Spataro. He's

0:24:11.520 --> 0:24:14.120
<v Speaker 4>Coroporate vice President, head of Modern Work at Microsoft three

0:24:14.160 --> 0:24:17.439
<v Speaker 4>sixty five on Zoom from Redmond, Washington.

0:24:18.720 --> 0:24:26.880
<v Speaker 1>Yeah, you're listening to the Bloomberg Business Week Podcast. Catch

0:24:26.960 --> 0:24:30.040
<v Speaker 1>us live weekdays from two to five pm Eastern.

0:24:29.680 --> 0:24:32.959
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:24:33.320 --> 0:24:36.040
<v Speaker 1>You can also listen live to our flagship New York

0:24:36.080 --> 0:24:39.800
<v Speaker 1>station Just Say Alexa Play Bloomberg E Love Them thirty.

0:24:41.480 --> 0:24:43.639
<v Speaker 4>So our next guest works with many Fortune one hundred

0:24:43.640 --> 0:24:46.560
<v Speaker 4>companies around the globe, working with them on HR programs.

0:24:46.600 --> 0:24:49.639
<v Speaker 4>We're talking about health, wellness, wealth programs. She's got a

0:24:49.680 --> 0:24:52.320
<v Speaker 4>great vantage point her company does too in terms of

0:24:52.359 --> 0:24:55.200
<v Speaker 4>what's going on in the overall business. And it environment

0:24:55.280 --> 0:24:57.720
<v Speaker 4>so great to have back with us. The chief financial

0:24:57.760 --> 0:25:00.480
<v Speaker 4>officer of the publicly held a light Katie Rooney with

0:25:00.560 --> 0:25:03.160
<v Speaker 4>us in studio. It really is great to have you here.

0:25:04.240 --> 0:25:06.280
<v Speaker 4>I said to you, it's like not been that long,

0:25:06.320 --> 0:25:08.879
<v Speaker 4>but it feels like because every day is so dense.

0:25:08.920 --> 0:25:10.600
<v Speaker 4>How are you you know?

0:25:11.119 --> 0:25:14.639
<v Speaker 14>It's it's been a crazy, crazy quarter. Although I feel

0:25:14.640 --> 0:25:17.879
<v Speaker 14>like within in a light years, it's normal, it's.

0:25:17.720 --> 0:25:21.240
<v Speaker 4>So chea, it's true, like our perspective has changed. Let's

0:25:21.240 --> 0:25:23.119
<v Speaker 4>just start broad and Macro talk to us little bit

0:25:23.119 --> 0:25:25.640
<v Speaker 4>about the business environment, because you do have a great window.

0:25:25.720 --> 0:25:28.359
<v Speaker 4>And forgive me for those who don't know exactly what

0:25:28.400 --> 0:25:30.920
<v Speaker 4>you're doing. You do work globally, you're working with lots

0:25:30.920 --> 0:25:33.320
<v Speaker 4>of companies. Remind our audience what you do.

0:25:33.520 --> 0:25:36.840
<v Speaker 14>Yes, of course, so we serve thirty six million people

0:25:36.880 --> 0:25:42.920
<v Speaker 14>across the globe doing basically human capital around health, well being,

0:25:43.160 --> 0:25:44.960
<v Speaker 14>payroll and so the types.

0:25:44.800 --> 0:25:46.240
<v Speaker 4>Of programs that companies have right.

0:25:46.080 --> 0:25:48.720
<v Speaker 14>Absolutely, when you think about employee well being, everything we're

0:25:48.720 --> 0:25:51.200
<v Speaker 14>trying to do for the employee in today's day and age.

0:25:51.240 --> 0:25:54.120
<v Speaker 14>Given everything we're seeing, we are taking a different approach

0:25:54.160 --> 0:25:57.560
<v Speaker 14>across the industry to say we have to engage with

0:25:57.640 --> 0:26:00.440
<v Speaker 14>people differently to help drive a different outcome. We've done

0:26:00.480 --> 0:26:02.480
<v Speaker 14>that a lot for clients, we've done that a lot

0:26:02.760 --> 0:26:04.760
<v Speaker 14>kind of in the front office. We really haven't done

0:26:04.760 --> 0:26:07.560
<v Speaker 14>that for our talent, and so we're trying to take

0:26:07.560 --> 0:26:09.760
<v Speaker 14>a platform approach with a light work life, where it's

0:26:09.840 --> 0:26:12.760
<v Speaker 14>one place to go where we can help you basically

0:26:12.840 --> 0:26:17.120
<v Speaker 14>solve more complex issues to keep your for the employer

0:26:17.160 --> 0:26:19.560
<v Speaker 14>and the employee, to keep them financially secure and healthy.

0:26:19.680 --> 0:26:23.960
<v Speaker 4>Kitty, do you feel like post pandemic that employees companies

0:26:24.000 --> 0:26:27.160
<v Speaker 4>are looking at their workers differently, or do you feel

0:26:27.160 --> 0:26:29.800
<v Speaker 4>like because it's a tight labor force that maybe companies

0:26:29.800 --> 0:26:31.120
<v Speaker 4>are looking at their workers differently.

0:26:31.119 --> 0:26:34.520
<v Speaker 14>Honestly, I think either way you are yes, yes, or

0:26:34.800 --> 0:26:36.560
<v Speaker 14>it is I mean it's a little bit of yes, yes.

0:26:36.600 --> 0:26:39.439
<v Speaker 14>I think you have to We did a global mindset

0:26:39.480 --> 0:26:42.280
<v Speaker 14>survey and we said eighty percent of workers say they

0:26:42.280 --> 0:26:45.959
<v Speaker 14>feel moderate to high levels of stress. I mean, it

0:26:46.000 --> 0:26:50.480
<v Speaker 14>doesn't matter if it's you know, the pandemic, if it's macroeconomy.

0:26:50.480 --> 0:26:53.120
<v Speaker 14>There's so much in our environment today that I think

0:26:53.880 --> 0:26:56.560
<v Speaker 14>employers have to play a different role in terms of

0:26:56.600 --> 0:26:57.879
<v Speaker 14>how they're helping their employees.

0:26:58.520 --> 0:27:01.679
<v Speaker 15>Well, you've been in this role for six years ish,

0:27:01.800 --> 0:27:03.400
<v Speaker 15>a little bit longer, a little bit longer.

0:27:03.440 --> 0:27:06.159
<v Speaker 14>I'm so sorry. I don't know, because a light actually

0:27:06.200 --> 0:27:09.440
<v Speaker 14>carved out in twenty seventeen from a on. So I've

0:27:09.440 --> 0:27:12.440
<v Speaker 14>been technically with the legacy company a little longer, and.

0:27:12.359 --> 0:27:17.600
<v Speaker 15>So I'm curious about how you've seen employee demands change

0:27:17.760 --> 0:27:20.040
<v Speaker 15>over the course of your tenure there, what would you

0:27:20.080 --> 0:27:23.800
<v Speaker 15>say is the single biggest shift and ask from employees.

0:27:24.720 --> 0:27:28.000
<v Speaker 14>Honestly, I think they found a voice. I just think

0:27:28.840 --> 0:27:31.920
<v Speaker 14>we didn't, you know, And again i've you know, as

0:27:31.920 --> 0:27:37.080
<v Speaker 14>an employer, I'm not sure we took the time to listen.

0:27:37.240 --> 0:27:40.399
<v Speaker 14>And I think employees are now found a stronger voice

0:27:41.160 --> 0:27:45.359
<v Speaker 14>that it starts with their leaving right, higher turnover, They're

0:27:45.400 --> 0:27:49.119
<v Speaker 14>requesting more and so we have to help them in

0:27:49.160 --> 0:27:52.160
<v Speaker 14>a different way. I don't think it's one specific thing.

0:27:52.480 --> 0:27:55.280
<v Speaker 14>I just think when you think about overall well being,

0:27:55.440 --> 0:27:58.320
<v Speaker 14>what they're feeling, what they're seeing, we have to take

0:27:58.320 --> 0:28:02.160
<v Speaker 14>a different approach here and support them in a different way.

0:28:02.200 --> 0:28:05.160
<v Speaker 14>They want to build trust with their employer. It's got

0:28:05.200 --> 0:28:07.520
<v Speaker 14>to be a two way street, whereas historically I think

0:28:07.560 --> 0:28:09.000
<v Speaker 14>it was a little bit more one way.

0:28:09.320 --> 0:28:11.480
<v Speaker 4>Well when it comes to what the services that you

0:28:11.560 --> 0:28:15.120
<v Speaker 4>guy guys provide for your clients. So I said health,

0:28:15.160 --> 0:28:17.360
<v Speaker 4>wealth and wellness, right, did I get them off?

0:28:17.720 --> 0:28:18.400
<v Speaker 3>Yeah? Yeah?

0:28:18.440 --> 0:28:20.240
<v Speaker 4>So what is it Where are you seeing the most

0:28:20.280 --> 0:28:22.159
<v Speaker 4>growth or more demand that like, this is what my

0:28:22.200 --> 0:28:23.920
<v Speaker 4>employees want or is it everything?

0:28:24.720 --> 0:28:27.560
<v Speaker 14>I think it's interconnected. I think that's the important thing

0:28:28.359 --> 0:28:32.440
<v Speaker 14>for the employee again, think about it, they I mean,

0:28:32.440 --> 0:28:36.359
<v Speaker 14>think about what you potentially do today just to figure

0:28:36.359 --> 0:28:39.520
<v Speaker 14>out where your paycheck is and where your health coverages

0:28:39.600 --> 0:28:41.959
<v Speaker 14>and where your four one K coverages? How many systems

0:28:42.000 --> 0:28:43.800
<v Speaker 14>are you going to? Where are you going right? And

0:28:44.040 --> 0:28:45.560
<v Speaker 14>how do you know what to use right? And what

0:28:45.600 --> 0:28:48.240
<v Speaker 14>the right decisions are? We say, should you be investing

0:28:48.280 --> 0:28:51.000
<v Speaker 14>in your HSA a health savings account or your four

0:28:51.000 --> 0:28:54.720
<v Speaker 14>to oh one K? Like those are actually complex questions

0:28:54.800 --> 0:28:58.280
<v Speaker 14>that we really haven't helped our employees answer, and so

0:28:58.400 --> 0:29:00.959
<v Speaker 14>I think it's more the common nation of all of

0:29:01.000 --> 0:29:03.880
<v Speaker 14>them to help people make a better decision. You got

0:29:03.880 --> 0:29:06.880
<v Speaker 14>to pay raise, What should you do right? Of course,

0:29:06.960 --> 0:29:09.040
<v Speaker 14>yes you want to make a different decision, but bring

0:29:09.080 --> 0:29:09.880
<v Speaker 14>it all together for them?

0:29:10.040 --> 0:29:12.920
<v Speaker 4>Well, how does AI and generative AI change this? Because

0:29:12.920 --> 0:29:16.200
<v Speaker 4>I do think about think about the question, right, the

0:29:16.240 --> 0:29:19.920
<v Speaker 4>conversation I could have with a system a platform that

0:29:20.080 --> 0:29:23.640
<v Speaker 4>is integrated, but it seems like it could make it

0:29:23.720 --> 0:29:25.400
<v Speaker 4>so much easier to use right.

0:29:25.640 --> 0:29:29.160
<v Speaker 14>I love that question because I think there's so much opportunity.

0:29:30.120 --> 0:29:32.520
<v Speaker 14>It starts with the data. So think about it. There's

0:29:32.600 --> 0:29:35.360
<v Speaker 14>a million searches today on Google for a doctor. Where

0:29:35.360 --> 0:29:38.000
<v Speaker 14>do I find a doctor. I mean do you think

0:29:38.040 --> 0:29:40.920
<v Speaker 14>Google knows what health plan you're in, what's in network,

0:29:41.360 --> 0:29:44.880
<v Speaker 14>where you're located, who's the highest quality, lowest cost, right

0:29:45.120 --> 0:29:46.880
<v Speaker 14>and helps you make a decision and can schedule an

0:29:46.880 --> 0:29:49.400
<v Speaker 14>appointment and get you a second opinion and right. So,

0:29:49.480 --> 0:29:51.800
<v Speaker 14>like you need the AI in terms of the underlying

0:29:51.880 --> 0:29:55.040
<v Speaker 14>data to help drive those personalized recommendations. But it has

0:29:55.120 --> 0:29:57.960
<v Speaker 14>to be when you think about in a trusted source,

0:29:58.120 --> 0:29:59.080
<v Speaker 14>who has access to that?

0:29:59.240 --> 0:30:00.520
<v Speaker 4>So how do you do that? Yea? So how do

0:30:00.600 --> 0:30:03.400
<v Speaker 4>you make it comprehensive, smart, accurate?

0:30:04.200 --> 0:30:04.400
<v Speaker 16>Right?

0:30:04.600 --> 0:30:08.880
<v Speaker 4>And then secure? I mean are you working on it?

0:30:08.960 --> 0:30:12.480
<v Speaker 14>You know we start there today? I mean security is

0:30:12.520 --> 0:30:15.840
<v Speaker 14>table stakes, Yeah, I mean that just you can't have

0:30:15.920 --> 0:30:18.280
<v Speaker 14>an employee concerned or thinking about that. We spend a

0:30:18.360 --> 0:30:21.120
<v Speaker 14>ton of time, resources money on that, like full stop.

0:30:21.640 --> 0:30:24.960
<v Speaker 14>Put that aside. Then the next piece is why we

0:30:25.000 --> 0:30:28.520
<v Speaker 14>think this integrated platform is important. We know your pay

0:30:28.720 --> 0:30:31.959
<v Speaker 14>we know your claim's history, we know how you're saving.

0:30:32.440 --> 0:30:35.719
<v Speaker 14>A mom just had a baby, right, Well, they might

0:30:35.760 --> 0:30:38.320
<v Speaker 14>have a different need than somebody who's retiring. So I

0:30:38.360 --> 0:30:42.440
<v Speaker 14>think it's more about taking that data to use kind

0:30:42.440 --> 0:30:45.680
<v Speaker 14>of provide a recommendation engine up one because everyone's unique.

0:30:45.600 --> 0:30:46.400
<v Speaker 4>Right exactly.

0:30:46.440 --> 0:30:47.160
<v Speaker 14>That's the power of it.

0:30:47.360 --> 0:30:51.600
<v Speaker 15>Okay, is there risk at all and decreased jobs because

0:30:51.600 --> 0:30:53.680
<v Speaker 15>of the AI impact? I know that's like the basic

0:30:53.720 --> 0:30:55.960
<v Speaker 15>obvious question, but how are you thinking about it?

0:30:56.280 --> 0:31:01.840
<v Speaker 14>I just think it's different. Again. AI is only as

0:31:01.840 --> 0:31:03.600
<v Speaker 14>good as the data, but it's not going to drive

0:31:03.640 --> 0:31:07.160
<v Speaker 14>a decision. So you know, we have people calling us

0:31:07.240 --> 0:31:09.480
<v Speaker 14>because they need to check the status, but they don't

0:31:09.480 --> 0:31:12.160
<v Speaker 14>need to call us for that, Like that's fine, but listen,

0:31:12.160 --> 0:31:14.560
<v Speaker 14>if somebody has a cancer diagnosis, they want to talk

0:31:14.600 --> 0:31:17.120
<v Speaker 14>to someone, right, that's never going to go away. So

0:31:17.240 --> 0:31:19.520
<v Speaker 14>I think it's more that jobs are changing, and we,

0:31:19.760 --> 0:31:22.120
<v Speaker 14>I think have a social responsibility to figure that out,

0:31:22.640 --> 0:31:25.560
<v Speaker 14>and hopefully I mean in the finance function in particular.

0:31:25.640 --> 0:31:28.520
<v Speaker 14>I think that's a huge opportunity to play a bigger

0:31:28.600 --> 0:31:30.840
<v Speaker 14>role strategically in the business.

0:31:30.600 --> 0:31:32.760
<v Speaker 4>Because you know, I think about the services that you offer,

0:31:32.800 --> 0:31:34.920
<v Speaker 4>and I even think about my own experience with and

0:31:34.960 --> 0:31:36.959
<v Speaker 4>we have a company with incredible benefits, and we do

0:31:37.000 --> 0:31:41.040
<v Speaker 4>have some really great usable programs and so on. But

0:31:41.120 --> 0:31:44.320
<v Speaker 4>I do think about if sometimes and if Matt Miller

0:31:44.400 --> 0:31:48.240
<v Speaker 4>was here, another one of our TV and radio anchors,

0:31:48.880 --> 0:31:50.840
<v Speaker 4>He'll go on and on about like the chatbots and

0:31:50.880 --> 0:31:52.920
<v Speaker 4>how they drive him crazy. You're on a site and

0:31:52.920 --> 0:31:56.480
<v Speaker 4>he's not wrong. Sometimes where I just want to get

0:31:56.480 --> 0:31:58.480
<v Speaker 4>on with the human and say help me out here,

0:31:58.680 --> 0:32:00.960
<v Speaker 4>walk me through it. And so is this balance? There's

0:32:00.960 --> 0:32:03.040
<v Speaker 4>a balance, But there's also other times where I love

0:32:03.080 --> 0:32:04.800
<v Speaker 4>it where I can just kind of whittle through a

0:32:04.800 --> 0:32:06.360
<v Speaker 4>bunch of information, figure it out.

0:32:06.440 --> 0:32:08.080
<v Speaker 14>There are times you don't want to talk to someone.

0:32:08.400 --> 0:32:10.040
<v Speaker 4>Yeah, absolutely right, and it's you know.

0:32:10.000 --> 0:32:11.320
<v Speaker 14>I have a mental health issue. I just need to

0:32:11.360 --> 0:32:12.840
<v Speaker 14>figure out where to go. I don't I don't want

0:32:12.880 --> 0:32:15.520
<v Speaker 14>to have to have that conversation yet, just direct me

0:32:15.920 --> 0:32:18.160
<v Speaker 14>at the same time. Okay, now I have a diagnosis,

0:32:18.320 --> 0:32:20.440
<v Speaker 14>tell me what this means. Right, So I think you

0:32:20.560 --> 0:32:21.880
<v Speaker 14>just have to meet people where they are.

0:32:22.080 --> 0:32:26.480
<v Speaker 4>Is though chat our generative AI a big boost for

0:32:26.560 --> 0:32:28.400
<v Speaker 4>what you guys ultimately do, Like, do you see that

0:32:28.400 --> 0:32:29.400
<v Speaker 4>as a big growth driver?

0:32:30.080 --> 0:32:32.120
<v Speaker 14>I think it's a huge opportunity. And it's not just

0:32:32.200 --> 0:32:36.880
<v Speaker 14>generative AI, it's AI more broadly because you're already using that. Yeah, right, absolutely,

0:32:36.960 --> 0:32:39.560
<v Speaker 14>we have to be right when you think about I

0:32:39.560 --> 0:32:42.280
<v Speaker 14>think about it, there's predictive, there's a generative, there's just

0:32:43.040 --> 0:32:46.280
<v Speaker 14>in essence driving an informed decision for someone. It will

0:32:46.280 --> 0:32:47.560
<v Speaker 14>only continue to get better.

0:32:47.680 --> 0:32:49.280
<v Speaker 4>So then what do you say to And we're gonna

0:32:49.640 --> 0:32:50.920
<v Speaker 4>got about a minute and then we'll come back and

0:32:50.920 --> 0:32:53.160
<v Speaker 4>talk some more. But there is this kind of wait.

0:32:53.200 --> 0:32:55.520
<v Speaker 4>I'm terrified by it, and I'm also like, well, wait,

0:32:55.560 --> 0:32:58.600
<v Speaker 4>we've been using it for a long time already, so

0:32:58.720 --> 0:33:01.440
<v Speaker 4>how do you you know, what would you be saying

0:33:01.480 --> 0:33:03.480
<v Speaker 4>to someone who was asking you, like, oh my god,

0:33:03.480 --> 0:33:03.920
<v Speaker 4>what is this?

0:33:04.440 --> 0:33:06.280
<v Speaker 14>I mean, I love the analogy someone told the other day.

0:33:06.320 --> 0:33:09.000
<v Speaker 14>I'm in finance. You know, the calculator came along. It's

0:33:09.000 --> 0:33:11.440
<v Speaker 14>not like all the finance jobs went away, right, I mean,

0:33:11.440 --> 0:33:14.760
<v Speaker 14>it's just we have to just think differently. Even with

0:33:14.880 --> 0:33:17.080
<v Speaker 14>generative AI, at the end of the day, there's still

0:33:17.120 --> 0:33:20.040
<v Speaker 14>a judgment call. So I think it's it's changing that

0:33:20.160 --> 0:33:23.720
<v Speaker 14>mindset around how we benefit and use it in a

0:33:23.800 --> 0:33:24.640
<v Speaker 14>more proactive way.

0:33:24.720 --> 0:33:24.920
<v Speaker 10>Yeah.

0:33:24.920 --> 0:33:26.640
<v Speaker 4>I just think it's yeah, And I love that you're

0:33:26.680 --> 0:33:29.240
<v Speaker 4>being smart about it and very specific and just saying

0:33:31.560 --> 0:33:34.560
<v Speaker 4>technology can be so terrifying, right, I feel like and

0:33:34.600 --> 0:33:36.840
<v Speaker 4>people have kind of run in that direction, and I

0:33:36.880 --> 0:33:39.680
<v Speaker 4>think there's been some great reporting showing how it can

0:33:39.720 --> 0:33:43.640
<v Speaker 4>go astray. But there's also a potential if you think

0:33:43.640 --> 0:33:46.240
<v Speaker 4>about online when it all started, right or the internet,

0:33:46.400 --> 0:33:46.800
<v Speaker 4>I think.

0:33:46.680 --> 0:33:49.520
<v Speaker 14>There's always and I think it's exciting, like that's next chapter.

0:33:49.600 --> 0:33:52.040
<v Speaker 15>It always sorry every time, and then it's right.

0:33:52.320 --> 0:33:53.640
<v Speaker 14>You know, it's always run up.

0:33:53.840 --> 0:33:55.120
<v Speaker 4>We just have to learn as we go along.

0:33:55.160 --> 0:33:55.480
<v Speaker 14>We do.

0:33:56.000 --> 0:33:59.560
<v Speaker 4>We're talking with the CFO of like Katie Rooney here

0:33:59.600 --> 0:34:02.480
<v Speaker 4>in our studio, I want to go back to some

0:34:02.520 --> 0:34:04.880
<v Speaker 4>business stuff. Is it easy being a CFO right now,

0:34:05.720 --> 0:34:09.800
<v Speaker 4>especially when we talk about credit crunches, markets tightening, questions

0:34:09.840 --> 0:34:11.880
<v Speaker 4>about recessions and slow downs.

0:34:13.160 --> 0:34:15.359
<v Speaker 14>I don't know that i'd say easy or hard. I

0:34:15.480 --> 0:34:18.279
<v Speaker 14>just think I think it's a really important time to

0:34:18.280 --> 0:34:20.360
<v Speaker 14>be a CFO. There's so much.

0:34:20.560 --> 0:34:21.400
<v Speaker 4>Hasn't been important.

0:34:21.600 --> 0:34:24.239
<v Speaker 14>Well, I think that's fair. I think that's that's a

0:34:24.239 --> 0:34:26.319
<v Speaker 14>fair storry. No, it's a it's a fair point. But

0:34:26.680 --> 0:34:32.080
<v Speaker 14>in terms of the magnitude of risk and volatility, and

0:34:32.480 --> 0:34:34.600
<v Speaker 14>so I think, you know, we spend a lot of

0:34:34.600 --> 0:34:37.279
<v Speaker 14>time focusing on balance sheet right and having kind of

0:34:37.320 --> 0:34:41.239
<v Speaker 14>that visibility into revenue, profitability, cash flow so that we

0:34:41.280 --> 0:34:45.319
<v Speaker 14>can weather any scenario, right, Because I think even over

0:34:45.360 --> 0:34:47.400
<v Speaker 14>the past couple of years, right with COVID, with everything

0:34:47.440 --> 0:34:49.880
<v Speaker 14>we've been through, there's just been so much more volatility

0:34:49.920 --> 0:34:53.160
<v Speaker 14>and uncertainty that you just you have to have a

0:34:53.200 --> 0:34:55.160
<v Speaker 14>bigger role in managing through that.

0:34:55.560 --> 0:34:57.960
<v Speaker 4>Do you feel more uncertain about the outlook? Do you

0:34:58.000 --> 0:35:00.719
<v Speaker 4>think more about recession based on things that you're seeing

0:35:00.840 --> 0:35:03.040
<v Speaker 4>or conversations because you do have a great as I

0:35:03.040 --> 0:35:04.840
<v Speaker 4>said at the top, like a great window because you

0:35:04.920 --> 0:35:07.440
<v Speaker 4>talked you have so many corporate clients.

0:35:07.560 --> 0:35:10.000
<v Speaker 14>Yeah, I think that's right, and I think I mean

0:35:10.000 --> 0:35:12.240
<v Speaker 14>the good news is for us, it's an opportunity because

0:35:12.360 --> 0:35:14.840
<v Speaker 14>we do serve you know, fifty percent of Fortune five hundred.

0:35:14.840 --> 0:35:17.120
<v Speaker 14>They are focusing more on cost. We can help address

0:35:17.160 --> 0:35:20.080
<v Speaker 14>a bigger need when you think about the solutions we

0:35:20.080 --> 0:35:24.640
<v Speaker 14>can provide end Yeah, I mean, you know, fortunately unfortunately

0:35:24.680 --> 0:35:27.319
<v Speaker 14>you're going to provide healthcare, you're going to do payroll right,

0:35:27.400 --> 0:35:30.480
<v Speaker 14>and actually we can help provide a better solution to

0:35:30.520 --> 0:35:33.400
<v Speaker 14>maximize how you're using those services. So I think the

0:35:33.440 --> 0:35:36.600
<v Speaker 14>conversation doesn't change. I think it's more I actually think

0:35:36.600 --> 0:35:38.480
<v Speaker 14>about it as how do you make it an opportunity

0:35:38.600 --> 0:35:41.840
<v Speaker 14>where we can actually invest more during this cycle to

0:35:41.920 --> 0:35:44.279
<v Speaker 14>get ahead because we are coming at it from a

0:35:44.280 --> 0:35:45.080
<v Speaker 14>position of strength.

0:35:45.480 --> 0:35:47.680
<v Speaker 6>So what do you look at when making that decision.

0:35:48.600 --> 0:35:51.680
<v Speaker 14>Yeah, I mean I think it starts with just healthy

0:35:51.719 --> 0:35:55.719
<v Speaker 14>balance sheet, right, having that flexibility to weather different scenarios,

0:35:55.920 --> 0:35:58.520
<v Speaker 14>so and being thoughtful about what those those could look like.

0:36:00.280 --> 0:36:02.160
<v Speaker 4>Did you see any impact from the collapse of like

0:36:02.239 --> 0:36:04.799
<v Speaker 4>Silicon Valley and the four regional banks? Did that in

0:36:04.840 --> 0:36:08.760
<v Speaker 4>any way? I don't know. Yeah, I'm just curious.

0:36:09.480 --> 0:36:12.400
<v Speaker 14>We really didn't, Okay, you know, and I think just

0:36:12.400 --> 0:36:14.520
<v Speaker 14>how quickly the government stepped in. I think you know

0:36:14.760 --> 0:36:18.160
<v Speaker 14>that supported so many different companies, so we really didn't.

0:36:18.840 --> 0:36:20.719
<v Speaker 14>But you had to be prepared in case, right, we

0:36:20.840 --> 0:36:23.279
<v Speaker 14>serve companies that have payable with those banks, Like how.

0:36:23.200 --> 0:36:25.360
<v Speaker 4>Do you make sure what I was thinking along the line.

0:36:25.200 --> 0:36:27.680
<v Speaker 14>Right, you're prepared and you can you can step in

0:36:27.719 --> 0:36:29.920
<v Speaker 14>and help your clients, Like this moment of need is

0:36:29.960 --> 0:36:31.960
<v Speaker 14>for our clients, right, if we can step in and

0:36:31.960 --> 0:36:35.600
<v Speaker 14>be that trusted resource, like, it builds such goodwill in

0:36:35.640 --> 0:36:39.000
<v Speaker 14>other macro environments. So I think that's that's the opportunity.

0:36:39.080 --> 0:36:41.520
<v Speaker 4>So can we talk about working from home? We just

0:36:41.560 --> 0:36:44.279
<v Speaker 4>did talk about retail and real estate and some of

0:36:44.320 --> 0:36:46.719
<v Speaker 4>the cities we see it outside our door of some

0:36:46.800 --> 0:36:50.200
<v Speaker 4>retail that still hasn't come back post pandemic. One of

0:36:50.200 --> 0:36:52.560
<v Speaker 4>the things I loved when we have talked in the

0:36:52.600 --> 0:36:55.839
<v Speaker 4>past is you said how you were flying all your

0:36:55.880 --> 0:36:56.919
<v Speaker 4>workers in for a week.

0:36:57.560 --> 0:36:59.920
<v Speaker 14>Right, yeah, I think, I think, are you still doing that?

0:37:00.200 --> 0:37:02.600
<v Speaker 14>We do? We do? I think again, this is what

0:37:02.680 --> 0:37:05.600
<v Speaker 14>works for me, particularly in finance quarterand is such an

0:37:05.640 --> 0:37:09.399
<v Speaker 14>important time and we still need development, we still need

0:37:09.440 --> 0:37:12.120
<v Speaker 14>face to face time. But trying to get people there

0:37:12.320 --> 0:37:14.279
<v Speaker 14>one day a week or two, like one day a week,

0:37:14.320 --> 0:37:16.359
<v Speaker 14>you spend that day just catching up with everyone. Yet

0:37:16.400 --> 0:37:19.319
<v Speaker 14>like it's not which is great, but if you do

0:37:19.400 --> 0:37:21.920
<v Speaker 14>it a week, we're not productive. It's not terribly productive, right,

0:37:21.960 --> 0:37:24.560
<v Speaker 14>so we need a full week. It's one week. We're committed,

0:37:24.600 --> 0:37:28.000
<v Speaker 14>we're all together, we do lunches together, we go out together.

0:37:28.080 --> 0:37:30.160
<v Speaker 14>So there's you know, work hard, play hard. We kind

0:37:30.160 --> 0:37:32.239
<v Speaker 14>of get that balance in. I think it builds a

0:37:32.280 --> 0:37:35.879
<v Speaker 14>lot of camaraderie for the team and honestly it helps

0:37:35.960 --> 0:37:37.920
<v Speaker 14>develop the team, which I think is so critical.

0:37:37.960 --> 0:37:39.360
<v Speaker 4>So you're still doing that. So at'll be home for

0:37:39.480 --> 0:37:41.080
<v Speaker 4>like three weeks and then they come in for a week.

0:37:41.400 --> 0:37:43.960
<v Speaker 15>And I wonder if you see to the extent that

0:37:43.960 --> 0:37:45.960
<v Speaker 15>you can talk about this as a gender impact on

0:37:46.000 --> 0:37:48.000
<v Speaker 15>that because the thing that I worry about so much

0:37:48.080 --> 0:37:51.320
<v Speaker 15>is that when you force people push people back to work,

0:37:51.800 --> 0:37:54.120
<v Speaker 15>a lot of women are staying at home still. They're

0:37:54.160 --> 0:37:57.520
<v Speaker 15>the ones taking advantage of the work from home capabilities

0:37:57.560 --> 0:37:59.319
<v Speaker 15>of companies, and that freaks me out.

0:37:59.480 --> 0:38:01.799
<v Speaker 14>You know, yeah, no, I get it, and I but

0:38:01.880 --> 0:38:04.760
<v Speaker 14>I think that's why this strategy works for us, because

0:38:04.760 --> 0:38:08.040
<v Speaker 14>they can plan. I can plan for one week. It's

0:38:08.040 --> 0:38:09.960
<v Speaker 14>hard when it's one you know, it's hard to find

0:38:10.040 --> 0:38:12.160
<v Speaker 14>childcare for one day a week, two days a week.

0:38:12.840 --> 0:38:15.200
<v Speaker 14>So that again, that's what's worked for us there. I

0:38:15.280 --> 0:38:17.000
<v Speaker 14>do have people come in a lot more. I love it.

0:38:17.040 --> 0:38:18.920
<v Speaker 14>I'm in a lot more. That works for me. So

0:38:18.960 --> 0:38:21.200
<v Speaker 14>I think it's just trying to get that balance right.

0:38:21.480 --> 0:38:23.719
<v Speaker 4>What about the tightness of the labor force? What are

0:38:23.719 --> 0:38:25.480
<v Speaker 4>you seeing on that front? Is it easing at all?

0:38:26.760 --> 0:38:27.960
<v Speaker 4>If you're hiring and you're.

0:38:27.800 --> 0:38:32.480
<v Speaker 14>Looking, Yeah, I'm not sure it's it's easying dramatically. I

0:38:32.520 --> 0:38:37.640
<v Speaker 14>think though, that the conversation is changing in terms of

0:38:37.640 --> 0:38:40.600
<v Speaker 14>what employees want. So it used to be you know,

0:38:40.680 --> 0:38:42.560
<v Speaker 14>I will I can only find someone who would work

0:38:42.560 --> 0:38:45.479
<v Speaker 14>from home in this location. I think because we've grown

0:38:45.480 --> 0:38:48.360
<v Speaker 14>more flexible in terms of the talent pool in terms

0:38:48.360 --> 0:38:50.600
<v Speaker 14>of the skill set we're looking for. We want more

0:38:50.600 --> 0:38:54.839
<v Speaker 14>diverse skill sets. I think that's helping, but it's still

0:38:54.880 --> 0:38:56.480
<v Speaker 14>I know, it's still a tough market.

0:38:56.239 --> 0:38:59.239
<v Speaker 4>And people still want to work from home. They do absolutely,

0:38:59.520 --> 0:39:01.640
<v Speaker 4>So what do you say to the debate, because it

0:39:01.719 --> 0:39:03.799
<v Speaker 4>does see I mean, it's still out there and we're

0:39:03.800 --> 0:39:06.040
<v Speaker 4>still trying to figure it out. And we certainly hear

0:39:06.080 --> 0:39:08.800
<v Speaker 4>from CEOs who I think from the pandemic and it

0:39:08.920 --> 0:39:10.759
<v Speaker 4>she like, yeah, we're gonna be flexible, and then they're like, no,

0:39:10.920 --> 0:39:15.080
<v Speaker 4>we're not flexible anymore. So what is the reality of it?

0:39:15.120 --> 0:39:16.560
<v Speaker 4>Are we still trying to figure it out?

0:39:16.760 --> 0:39:19.440
<v Speaker 14>I think the reality is we have to find some

0:39:19.600 --> 0:39:21.839
<v Speaker 14>time for people to be in the office, but it

0:39:21.920 --> 0:39:24.480
<v Speaker 14>has to be meaningful. I don't need people coming into

0:39:24.520 --> 0:39:25.920
<v Speaker 14>the office to sit in a cube all day and

0:39:25.920 --> 0:39:29.319
<v Speaker 14>be on zoom calls. Yeah we don't, right, I mean,

0:39:29.360 --> 0:39:32.400
<v Speaker 14>I a so I think, but we need training programs,

0:39:32.440 --> 0:39:35.640
<v Speaker 14>we need mentorship, we need team building, we need so.

0:39:35.840 --> 0:39:39.359
<v Speaker 14>I think it's making those in person experiences meaningful and

0:39:39.680 --> 0:39:42.600
<v Speaker 14>having enough of them, you know, I think that's what matters.

0:39:42.880 --> 0:39:44.719
<v Speaker 15>We've got like a minute and a half in our

0:39:44.760 --> 0:39:47.840
<v Speaker 15>final minutes with you. You're a woman who's a CFO.

0:39:48.000 --> 0:39:50.960
<v Speaker 15>I hate to do that whole thing, but just meeting

0:39:50.960 --> 0:39:52.840
<v Speaker 15>you and how cool you are. Can you talk about

0:39:53.080 --> 0:39:55.359
<v Speaker 15>any advice you have for other women that are in

0:39:55.520 --> 0:39:56.800
<v Speaker 15>male dominated roles?

0:39:56.880 --> 0:39:58.359
<v Speaker 4>Because was it easy getting here?

0:39:58.640 --> 0:39:58.879
<v Speaker 5>Yeah?

0:39:58.920 --> 0:40:02.600
<v Speaker 14>It was not easy. I think you have you have

0:40:02.680 --> 0:40:04.920
<v Speaker 14>to be true to yourself. I got pushed a lot

0:40:04.920 --> 0:40:07.640
<v Speaker 14>in times in my career have a stronger voice, be louder,

0:40:07.719 --> 0:40:10.720
<v Speaker 14>do this like that wouldn't have worked for me. Interesting,

0:40:10.760 --> 0:40:13.680
<v Speaker 14>and so I think I do have a strong voice

0:40:13.680 --> 0:40:15.560
<v Speaker 14>when I need to, I won't be the loudest in

0:40:15.560 --> 0:40:19.520
<v Speaker 14>the room. And but I know you have to figure

0:40:19.520 --> 0:40:22.080
<v Speaker 14>out how to influence in your own way, to drive

0:40:22.160 --> 0:40:25.160
<v Speaker 14>progress and drive change, and I think being comfortable with

0:40:25.200 --> 0:40:28.000
<v Speaker 14>that is really important because then you can develop that

0:40:28.120 --> 0:40:32.200
<v Speaker 14>confidence to succeed in any environment and find the right

0:40:32.200 --> 0:40:34.800
<v Speaker 14>support network. I mean, I you know, men and women,

0:40:35.239 --> 0:40:39.000
<v Speaker 14>it's incredibly powerful. That's so great.

0:40:39.280 --> 0:40:41.359
<v Speaker 4>Yeah, no, it makes sense, it's no. But the whole

0:40:41.560 --> 0:40:43.360
<v Speaker 4>concept of because I think there was for a while like,

0:40:43.400 --> 0:40:46.680
<v Speaker 4>you know, you gotta be strong, yeah, lean in and

0:40:46.800 --> 0:40:49.040
<v Speaker 4>I think you and at times you do, yes, but

0:40:49.080 --> 0:40:51.799
<v Speaker 4>you also have to be true to yourself. Yeah, thank

0:40:51.800 --> 0:40:53.319
<v Speaker 4>you so much. We know you had a busy trek

0:40:53.320 --> 0:40:54.799
<v Speaker 4>while you were here in New York and you found

0:40:54.800 --> 0:40:56.239
<v Speaker 4>some time for us, So thank you. Thank you guys

0:40:56.239 --> 0:41:00.279
<v Speaker 4>for having always safe travels back home. Just so to

0:41:00.560 --> 0:41:02.880
<v Speaker 4>kind of cover so much with you. Katie Rooney, CFO,

0:41:02.960 --> 0:41:06.120
<v Speaker 4>Chief Financial Officer at Alite, thank you so much. Light Solutions.

0:41:06.360 --> 0:41:09.000
<v Speaker 4>Here in our interactive Brokers studio, you're.

0:41:08.840 --> 0:41:12.480
<v Speaker 1>Listening to the Bloomberg Business Week podcast. Catch us live

0:41:12.560 --> 0:41:15.120
<v Speaker 1>weekdays from two to five pm Eastern.

0:41:14.760 --> 0:41:18.080
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:41:18.360 --> 0:41:21.399
<v Speaker 1>You can also listen live to our flagship New York station,

0:41:22.000 --> 0:41:29.279
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0:41:29.280 --> 0:41:31.960
<v Speaker 10>Problem by.

0:41:34.080 --> 0:41:37.319
<v Speaker 4>All right, they're definitely fighting the fight, if you will,

0:41:37.320 --> 0:41:40.040
<v Speaker 4>and we'll get into exactly what they're doing. Especially if

0:41:40.040 --> 0:41:42.480
<v Speaker 4>you're head out west to the University of California at Berkeley,

0:41:42.560 --> 0:41:45.520
<v Speaker 4>you will find a class called the Berkeley Citizen Clinic,

0:41:45.960 --> 0:41:48.680
<v Speaker 4>and in its students are learning how to fight hackers

0:41:48.800 --> 0:41:52.280
<v Speaker 4>and help non governmental organizations. We're talking about the NGOs

0:41:52.320 --> 0:41:56.800
<v Speaker 4>really better protect themselves. This story is in the upcoming

0:41:56.840 --> 0:41:59.399
<v Speaker 4>new double issue Bloomberg BusinessWeek on newstands later this week.

0:41:59.440 --> 0:42:02.480
<v Speaker 4>Already online at Bloomberg dot com, slash Business Weeekend on

0:42:02.520 --> 0:42:05.680
<v Speaker 4>the Bloomberg So let's get to it. Bloomberg News cybersecurity

0:42:05.719 --> 0:42:08.879
<v Speaker 4>reporter Margie Murphy on zoom in San Francisco. The editor

0:42:08.880 --> 0:42:10.640
<v Speaker 4>of Bloomberg Business Week, Jill Weber right here in our

0:42:10.640 --> 0:42:15.120
<v Speaker 4>Bloomberg Interactive Broker's studio, Jill. This clinic the first of

0:42:15.160 --> 0:42:16.799
<v Speaker 4>it's kind of the country. I'm just curious how this

0:42:16.840 --> 0:42:18.680
<v Speaker 4>story got the green light, Like, what was the pitch?

0:42:18.719 --> 0:42:20.919
<v Speaker 7>I just thought it was so interesting because we look,

0:42:20.920 --> 0:42:24.480
<v Speaker 7>we're always interested in what's happening in the cybersecurity world,

0:42:24.520 --> 0:42:27.200
<v Speaker 7>and this was just an effort that I hadn't heard about,

0:42:27.239 --> 0:42:29.840
<v Speaker 7>and yet students are doing cool stuff.

0:42:29.640 --> 0:42:31.160
<v Speaker 3>And this.

0:42:32.560 --> 0:42:35.440
<v Speaker 7>The Travers Project, when I first even read about it

0:42:35.480 --> 0:42:37.560
<v Speaker 7>in the story, just was like, wow, this is they're

0:42:37.600 --> 0:42:41.760
<v Speaker 7>doing something that I had not been aware of before

0:42:42.000 --> 0:42:44.879
<v Speaker 7>this Travis Project. I hadn't been aware of what they

0:42:44.880 --> 0:42:47.799
<v Speaker 7>were doing. But what they're doing is actually, you know,

0:42:48.719 --> 0:42:53.600
<v Speaker 7>draws attention from people that aren't exactly like, you know,

0:42:54.080 --> 0:42:55.360
<v Speaker 7>doing good stuff in the world.

0:42:55.520 --> 0:42:57.040
<v Speaker 3>Right, And so the.

0:42:56.960 --> 0:43:00.600
<v Speaker 7>Berkeley Citizen Clinic comes in there and the this is

0:43:00.600 --> 0:43:03.239
<v Speaker 7>a pro bono effort and it just has a little

0:43:03.239 --> 0:43:05.520
<v Speaker 7>bit of a feel good quality. But what I'm really

0:43:05.520 --> 0:43:09.319
<v Speaker 7>curious about is what happens in the classroom to lock

0:43:09.360 --> 0:43:14.400
<v Speaker 7>this stuff down, Margie. So let's start actually Traverse Project.

0:43:14.000 --> 0:43:17.680
<v Speaker 7>What are they doing this nonprofit and why do that?

0:43:17.800 --> 0:43:20.239
<v Speaker 7>Does that draw the attention of the bad people in

0:43:20.280 --> 0:43:20.640
<v Speaker 7>the world?

0:43:21.840 --> 0:43:22.960
<v Speaker 16>Yeah? Absolutely, So.

0:43:23.000 --> 0:43:26.600
<v Speaker 17>I talked to Austin Shamlin, who is the founder of

0:43:26.640 --> 0:43:30.719
<v Speaker 17>the Travis Project, and he's spent many years working in

0:43:31.480 --> 0:43:35.600
<v Speaker 17>the kind of anti human trafficking industry, I guess you

0:43:36.000 --> 0:43:40.560
<v Speaker 17>could call it, and he's he's set up this nonprofit

0:43:40.640 --> 0:43:43.360
<v Speaker 17>and what it is, it's tech. It's a tech company really,

0:43:43.440 --> 0:43:47.640
<v Speaker 17>and they provide technology to law enforcement.

0:43:48.840 --> 0:43:49.640
<v Speaker 16>Around the world.

0:43:50.600 --> 0:43:54.520
<v Speaker 17>And so they you know, they have a special proprietary

0:43:54.560 --> 0:43:58.480
<v Speaker 17>technology which you know is it was it's kind of

0:43:58.480 --> 0:43:59.480
<v Speaker 17>their secret source.

0:44:00.680 --> 0:44:04.040
<v Speaker 16>And they're helping find the bad.

0:44:03.840 --> 0:44:08.600
<v Speaker 17>Guys, the people who are supplying women from Ukraine who

0:44:08.640 --> 0:44:12.160
<v Speaker 17>are trying to get over to Poland sending them to

0:44:12.239 --> 0:44:15.120
<v Speaker 17>brothels around eastern Europe.

0:44:15.440 --> 0:44:19.239
<v Speaker 16>And he's helping with this tracking technology.

0:44:20.719 --> 0:44:22.440
<v Speaker 4>A little bit of a freeze here, we'll see if

0:44:22.480 --> 0:44:22.719
<v Speaker 4>we can.

0:44:23.160 --> 0:44:25.120
<v Speaker 16>Are you there, Margie, I'm here.

0:44:25.239 --> 0:44:28.080
<v Speaker 4>Okay, great, no, no, no, technology it happens. Go ahead

0:44:28.080 --> 0:44:29.320
<v Speaker 4>and pick up please go ahead.

0:44:30.880 --> 0:44:31.120
<v Speaker 16>Yeah.

0:44:31.239 --> 0:44:35.719
<v Speaker 17>So often is you know, for this his human trafficking

0:44:35.760 --> 0:44:39.920
<v Speaker 17>technology company. He's helping track down the people who are

0:44:40.000 --> 0:44:45.239
<v Speaker 17>moving women and children around the world, often for sex trafficking.

0:44:45.800 --> 0:44:49.640
<v Speaker 17>And so he's attracting the ire of some really bad people,

0:44:50.040 --> 0:44:53.200
<v Speaker 17>and all the money that he's getting to fund his company,

0:44:53.440 --> 0:44:57.120
<v Speaker 17>it's going into the technology that he's providing to help

0:44:57.160 --> 0:45:00.560
<v Speaker 17>with this effort, and he doesn't have the b to

0:45:00.680 --> 0:45:04.440
<v Speaker 17>spend it on actually securing himself and his volunteers and

0:45:04.480 --> 0:45:07.600
<v Speaker 17>his employees who are kind of putting themselves on the

0:45:07.600 --> 0:45:12.319
<v Speaker 17>front line against criminal gangs, you know, potential moles in

0:45:12.400 --> 0:45:17.399
<v Speaker 17>the law enforcement themselves. So although he's working in tech,

0:45:17.520 --> 0:45:22.520
<v Speaker 17>he doesn't have the budget to go and get a

0:45:22.560 --> 0:45:26.040
<v Speaker 17>consultant to kind of show him where all the vulnerabilities.

0:45:26.080 --> 0:45:27.239
<v Speaker 16>Maybe every time he.

0:45:27.239 --> 0:45:31.239
<v Speaker 17>Speaks to a volunteer talk about, you know, where there

0:45:31.280 --> 0:45:33.920
<v Speaker 17>could be people who might be in their networks watching

0:45:33.960 --> 0:45:36.160
<v Speaker 17>what they're doing, trying to get a step ahead of them.

0:45:36.239 --> 0:45:42.440
<v Speaker 17>So he heard about this clinic at Berkeley and now's

0:45:42.640 --> 0:45:46.279
<v Speaker 17>this fall. We'll get about fifteen students who are going

0:45:46.360 --> 0:45:49.879
<v Speaker 17>to help him draw up a cybersecurity plan, tell him

0:45:49.960 --> 0:45:52.080
<v Speaker 17>kind of the best ways for him to communicate with

0:45:52.120 --> 0:45:54.319
<v Speaker 17>his volunteers and with the partners that they have all

0:45:54.360 --> 0:45:57.480
<v Speaker 17>around the world to make sure that they can continue

0:45:57.520 --> 0:46:00.000
<v Speaker 17>doing what they need to do in a safe manner

0:46:00.440 --> 0:46:02.160
<v Speaker 17>and not putting their volunteers at risk.

0:46:03.520 --> 0:46:07.240
<v Speaker 7>So what's the backstory at Berkeley? Where did this program

0:46:07.320 --> 0:46:08.600
<v Speaker 7>come from?

0:46:09.040 --> 0:46:09.239
<v Speaker 10>Right?

0:46:09.440 --> 0:46:12.480
<v Speaker 17>So it kind of it all came from as a

0:46:12.520 --> 0:46:17.000
<v Speaker 17>program which is like the Public Interest Cybersecurity Program, and

0:46:17.040 --> 0:46:22.080
<v Speaker 17>that that was a module that cybersecurity students could teach,

0:46:23.200 --> 0:46:26.040
<v Speaker 17>and Sarah Powers out at Berkeley has been kind of.

0:46:25.960 --> 0:46:29.520
<v Speaker 16>Spearheading that, and they thought, you know, often.

0:46:30.040 --> 0:46:32.239
<v Speaker 17>These universities do you have a bit of a pro

0:46:32.320 --> 0:46:34.719
<v Speaker 17>bono effort and they look around in their community and think,

0:46:34.760 --> 0:46:35.480
<v Speaker 17>you know, how can.

0:46:35.360 --> 0:46:36.080
<v Speaker 16>We be helpful?

0:46:36.719 --> 0:46:40.880
<v Speaker 17>And they realized that the a lot of these students

0:46:40.920 --> 0:46:46.200
<v Speaker 17>were going on to work with large companies with huge

0:46:46.239 --> 0:46:49.319
<v Speaker 17>sums of money, and they were never they were never

0:46:49.360 --> 0:46:51.880
<v Speaker 17>going on to help kind of work with the small

0:46:52.000 --> 0:46:56.240
<v Speaker 17>organizations around them or the the NGOs and nonprofits that

0:46:56.520 --> 0:47:00.680
<v Speaker 17>they felt really needed the help the help secure themselves.

0:47:01.080 --> 0:47:03.440
<v Speaker 17>And so they started off by I think they did

0:47:03.480 --> 0:47:07.160
<v Speaker 17>a couple of local women's health clinics, anti abortion clinics,

0:47:07.560 --> 0:47:11.440
<v Speaker 17>and then they started getting more interest and they realized

0:47:11.480 --> 0:47:13.080
<v Speaker 17>this is like an international thing.

0:47:13.160 --> 0:47:14.000
<v Speaker 16>And so now.

0:47:13.800 --> 0:47:17.239
<v Speaker 17>They've been doing it for about I think it's like

0:47:17.320 --> 0:47:21.760
<v Speaker 17>four years now, and they now they have to scream

0:47:22.080 --> 0:47:24.799
<v Speaker 17>for the clients that they have come in and they

0:47:24.800 --> 0:47:26.920
<v Speaker 17>make sure that they're going for the kind of lowest

0:47:26.960 --> 0:47:29.920
<v Speaker 17>budget but higher risk clients.

0:47:30.520 --> 0:47:32.960
<v Speaker 4>Margie, you know one thing I think is interesting too,

0:47:32.960 --> 0:47:35.920
<v Speaker 4>And we have so many conversations where when you talk

0:47:35.960 --> 0:47:38.080
<v Speaker 4>to the head of a company, a publicly held company

0:47:38.160 --> 0:47:41.240
<v Speaker 4>or other, you know, cybersecurity is a big issue. It

0:47:41.320 --> 0:47:43.239
<v Speaker 4>is just a part of doing business. Of course they're

0:47:43.280 --> 0:47:45.239
<v Speaker 4>going to spend on it, they have money to do so.

0:47:45.760 --> 0:47:50.000
<v Speaker 4>But there's some information in your story we write about

0:47:50.000 --> 0:47:53.799
<v Speaker 4>these NGO small organizations that they are three times more

0:47:53.920 --> 0:47:57.239
<v Speaker 4>likely to be targeted by hackers than large companies, and

0:47:57.280 --> 0:48:00.799
<v Speaker 4>about sixty percent of those groups shut down within six

0:48:00.840 --> 0:48:04.560
<v Speaker 4>months of an attack. So they are very vulnerable and

0:48:04.600 --> 0:48:07.799
<v Speaker 4>their organization is really at stake of being shut down

0:48:07.840 --> 0:48:10.319
<v Speaker 4>if they get hacked. I had no idea and didn't

0:48:10.320 --> 0:48:12.600
<v Speaker 4>think about how vulnerable they are and that they don't

0:48:12.600 --> 0:48:16.720
<v Speaker 4>have the access to either spend to protect their information

0:48:16.840 --> 0:48:18.160
<v Speaker 4>or their organizations.

0:48:19.200 --> 0:48:21.360
<v Speaker 16>Yeah. Absolutely, And there's two things here.

0:48:21.440 --> 0:48:25.560
<v Speaker 17>So these specific NGOs that the Berkeley Clinic are working with,

0:48:25.600 --> 0:48:28.719
<v Speaker 17>it's like that they tend to be super high risk

0:48:28.800 --> 0:48:34.280
<v Speaker 17>because they are doing things like anti human trafficking, abortion work,

0:48:35.800 --> 0:48:40.560
<v Speaker 17>you know, political kind of NGOs, and so they're super

0:48:40.640 --> 0:48:46.160
<v Speaker 17>high risk and they are highly highly at risk of

0:48:46.200 --> 0:48:48.440
<v Speaker 17>being hacked because of the work they do, because of

0:48:48.480 --> 0:48:51.799
<v Speaker 17>brying governments and criminal gangs. Then on top of that,

0:48:52.160 --> 0:48:55.960
<v Speaker 17>there's also the risk that is too small businesses generally

0:48:56.040 --> 0:48:59.799
<v Speaker 17>across the US, because we hear so much about really

0:48:59.840 --> 0:49:03.760
<v Speaker 17>like scale hats hackers going after you know, publicly listed

0:49:03.800 --> 0:49:07.160
<v Speaker 17>companies because the return one you know, if they if

0:49:07.160 --> 0:49:09.560
<v Speaker 17>they do a ransomware attack and if they try and

0:49:09.600 --> 0:49:12.640
<v Speaker 17>get like five percent of their quarterly.

0:49:12.280 --> 0:49:13.879
<v Speaker 16>Earnings, it's a huge sum.

0:49:14.239 --> 0:49:18.360
<v Speaker 17>But we never really talk about how like the scale

0:49:18.560 --> 0:49:21.400
<v Speaker 17>of the smaller organizations that are being hacked and the

0:49:21.480 --> 0:49:23.960
<v Speaker 17>returns are smaller for the hackers, but it's easier for

0:49:24.000 --> 0:49:27.520
<v Speaker 17>them to get in and cumulatively they're making tons of

0:49:27.560 --> 0:49:30.560
<v Speaker 17>money off the smaller organizations which are less likely to

0:49:30.600 --> 0:49:33.680
<v Speaker 17>be protected, which are less likely to have cyber insurance

0:49:33.960 --> 0:49:36.799
<v Speaker 17>and then as the stats show, are more likely to

0:49:36.880 --> 0:49:38.440
<v Speaker 17>fold as a result of that attack.

0:49:39.640 --> 0:49:42.080
<v Speaker 15>Marguie, This isn't really featured in the story, but I'm

0:49:42.080 --> 0:49:45.280
<v Speaker 15>just curious. Is this something that the sources you spoke

0:49:45.320 --> 0:49:49.600
<v Speaker 15>with think they could scale in a tangible way. Do

0:49:49.640 --> 0:49:53.200
<v Speaker 15>they anticipate trying to roll out resources that make the

0:49:53.320 --> 0:49:55.719
<v Speaker 15>education on how to do this a little bit more accessible.

0:49:57.080 --> 0:49:58.600
<v Speaker 16>I think it's something they'd love to do.

0:49:58.840 --> 0:50:03.080
<v Speaker 17>And in this example, what the students are doing is

0:50:03.320 --> 0:50:09.400
<v Speaker 17>essentially it's free consultancy, so they're not providing any technology themselves.

0:50:10.840 --> 0:50:14.000
<v Speaker 17>And I think that a lot of what the students

0:50:14.040 --> 0:50:17.680
<v Speaker 17>going to do is they become consultants. They're working like

0:50:17.800 --> 0:50:20.319
<v Speaker 17>one of the one of my sources, Rachel, she now

0:50:20.320 --> 0:50:25.399
<v Speaker 17>works at Deloitte, and they're kind of I guess they're

0:50:25.440 --> 0:50:27.759
<v Speaker 17>hoping that they could maybe bring what they learned with

0:50:27.840 --> 0:50:29.360
<v Speaker 17>them and pay it back.

0:50:30.320 --> 0:50:31.680
<v Speaker 16>In terms of scaling it.

0:50:33.200 --> 0:50:36.960
<v Speaker 17>At the moment, there's actually Berkeley is one of several

0:50:37.080 --> 0:50:39.360
<v Speaker 17>clinics that have actually popped up, and there is a

0:50:39.360 --> 0:50:42.600
<v Speaker 17>consortium that they've all all together, and there are donors

0:50:42.600 --> 0:50:45.160
<v Speaker 17>who are feeding some money into that, and I think

0:50:45.160 --> 0:50:47.960
<v Speaker 17>they're hoping that that will expand and that will get bigger,

0:50:48.000 --> 0:50:52.960
<v Speaker 17>and we'll see more community based pro bono work as

0:50:53.200 --> 0:50:56.239
<v Speaker 17>kind of we see more cyber attacks happening and we.

0:50:56.280 --> 0:50:58.840
<v Speaker 16>See the cost of cybersecurity software rising.

0:51:00.000 --> 0:51:03.520
<v Speaker 17>In terms of scaling, it wouldn't be a scale like

0:51:03.560 --> 0:51:05.520
<v Speaker 17>we would see with a product, but I think in

0:51:05.640 --> 0:51:09.120
<v Speaker 17>terms of people getting involved in trying to help and

0:51:09.200 --> 0:51:13.040
<v Speaker 17>maybe seeing private companies put some funding behind it, that

0:51:13.120 --> 0:51:14.880
<v Speaker 17>we might see scale.

0:51:15.320 --> 0:51:18.719
<v Speaker 7>So the Travis Project, obviously, that was a really interesting one.

0:51:18.880 --> 0:51:25.000
<v Speaker 7>I'm curious what other organizations the clinic at Berkeley and beyond,

0:51:25.280 --> 0:51:28.160
<v Speaker 7>who else are they attempting to assist with these efforts.

0:51:28.760 --> 0:51:34.200
<v Speaker 17>Yeah, so interestingly, each each clinic so they they're attached

0:51:34.200 --> 0:51:40.239
<v Speaker 17>to universities, and each university has their own I guess

0:51:39.920 --> 0:51:42.439
<v Speaker 17>the theme probably isn't the right word, but the type

0:51:42.440 --> 0:51:46.120
<v Speaker 17>of organization they do, so Berkeley was these high risk NGOs.

0:51:47.120 --> 0:51:49.840
<v Speaker 17>I think M I T was doing more community focused

0:51:49.840 --> 0:51:56.520
<v Speaker 17>like local healthcare and government, and so they kind of

0:51:56.600 --> 0:52:01.959
<v Speaker 17>specialized on that, but Berkeley specifically.

0:52:02.200 --> 0:52:03.440
<v Speaker 16>I also spoke to.

0:52:04.760 --> 0:52:09.400
<v Speaker 17>The administrative manager at the abortion clinic in the San

0:52:09.440 --> 0:52:13.600
<v Speaker 17>Francisco General Hospital who has worked with them. They've also

0:52:13.640 --> 0:52:23.120
<v Speaker 17>done other women's health organizations. They also work with. There

0:52:23.200 --> 0:52:26.319
<v Speaker 17>was a organization in Guatemala which was kind of more

0:52:26.320 --> 0:52:32.600
<v Speaker 17>of a political NGO, so it's quite international, and I

0:52:32.640 --> 0:52:38.879
<v Speaker 17>think that what really struck me was how this could

0:52:38.880 --> 0:52:43.480
<v Speaker 17>be applied to pretty much any vertical as well, you know, impacts.

0:52:43.520 --> 0:52:47.680
<v Speaker 17>It's not just the NGOs. There are small businesses around

0:52:47.680 --> 0:52:51.160
<v Speaker 17>the country which really need this help and they're not

0:52:51.160 --> 0:52:52.600
<v Speaker 17>getting it and they can't afford it.

0:52:52.680 --> 0:52:57.400
<v Speaker 7>And yeah, we've read about all the ransomware hats that

0:52:57.480 --> 0:53:02.320
<v Speaker 7>have gone down, and it's like hospital schools, private companies.

0:53:02.360 --> 0:53:05.240
<v Speaker 7>It's like take your pick, and like anytime it happens,

0:53:05.239 --> 0:53:08.200
<v Speaker 7>it is your nightmare. And then to think like you

0:53:08.239 --> 0:53:10.640
<v Speaker 7>don't have the funding that you need to actually defend

0:53:10.680 --> 0:53:14.040
<v Speaker 7>yourselves from these things, and especially if you're attempted you

0:53:14.080 --> 0:53:17.840
<v Speaker 7>could work like these folks. It's an amazing conundrum.

0:53:17.280 --> 0:53:19.239
<v Speaker 4>Right, the concept of that, like what you're doing is

0:53:19.280 --> 0:53:20.960
<v Speaker 4>all of a sudden shut down and then maybe you

0:53:21.000 --> 0:53:24.080
<v Speaker 4>can't even recover from it. So it's really really concerning.

0:53:24.360 --> 0:53:26.440
<v Speaker 4>The Other thing I thought was interesting, Margie, and maybe

0:53:26.440 --> 0:53:28.960
<v Speaker 4>because we've been talking a lot about earlier on our

0:53:29.040 --> 0:53:33.560
<v Speaker 4>broadcast matter and I got into how women participations, certainly

0:53:33.560 --> 0:53:38.239
<v Speaker 4>in the prime earning their participation post pandemic is at

0:53:38.239 --> 0:53:39.960
<v Speaker 4>a record high, and I just think about the tight

0:53:40.080 --> 0:53:44.680
<v Speaker 4>labor force that is forcing Also companies or folks that

0:53:44.760 --> 0:53:47.600
<v Speaker 4>maybe night might not have in another environment leaned on

0:53:47.760 --> 0:53:50.640
<v Speaker 4>students to help them. They're like, I'm okay with it

0:53:50.680 --> 0:53:52.680
<v Speaker 4>because it's actually kind of solving a problem because there's

0:53:52.719 --> 0:53:55.200
<v Speaker 4>just not enough cybersecurity officials right to go out there

0:53:55.200 --> 0:53:57.120
<v Speaker 4>and do it right.

0:53:57.280 --> 0:53:57.720
<v Speaker 16>Totally.

0:53:57.760 --> 0:54:00.640
<v Speaker 17>I mean, the idea itself sounds terrifying selling a load

0:54:00.680 --> 0:54:04.120
<v Speaker 17>of students on your kind of cybersecurity practice, which is

0:54:04.160 --> 0:54:07.120
<v Speaker 17>meant to be you know, the most people well cybersecurity

0:54:07.120 --> 0:54:08.320
<v Speaker 17>people would argue is the most.

0:54:08.200 --> 0:54:09.720
<v Speaker 16>Important part of your business.

0:54:10.120 --> 0:54:13.200
<v Speaker 17>But when you don't have the people to help you that,

0:54:13.560 --> 0:54:15.440
<v Speaker 17>you know, when you can't afford it, you'll take what

0:54:15.440 --> 0:54:15.879
<v Speaker 17>you're given.

0:54:15.920 --> 0:54:16.800
<v Speaker 16>And it turns out.

0:54:16.680 --> 0:54:19.480
<v Speaker 17>That actually these students are really, really good and they

0:54:19.480 --> 0:54:22.719
<v Speaker 17>are being trained by the best in class. So the

0:54:23.360 --> 0:54:25.319
<v Speaker 17>tutors that they have are people who've worked in the

0:54:25.360 --> 0:54:27.799
<v Speaker 17>industry for years and they want to give back and

0:54:27.840 --> 0:54:31.240
<v Speaker 17>they know what the problem is. And oftentimes these problems

0:54:31.280 --> 0:54:35.200
<v Speaker 17>aren't really expensive to solve. That sometimes people are being

0:54:35.320 --> 0:54:38.000
<v Speaker 17>sold things that you know they're being told you need

0:54:38.040 --> 0:54:40.040
<v Speaker 17>to pay a certain amount for this. A lot of

0:54:40.040 --> 0:54:43.759
<v Speaker 17>it comes down to cyber hygiene. But with the kind

0:54:43.800 --> 0:54:50.200
<v Speaker 17>of growing threat and the sophistication in which cyber criminals are,

0:54:50.320 --> 0:54:54.200
<v Speaker 17>you know, evolving, we just need people need refreshes quite

0:54:54.200 --> 0:54:59.239
<v Speaker 17>often on how to you know, privately message access controls

0:54:59.320 --> 0:55:02.000
<v Speaker 17>over your fire else who can see what It can

0:55:02.040 --> 0:55:05.359
<v Speaker 17>be quite simple stuff, but unless you have someone who

0:55:05.400 --> 0:55:09.360
<v Speaker 17>knows telling you that you know, you don't know until

0:55:09.360 --> 0:55:13.200
<v Speaker 17>you don't know, and then you've been hacked, and that's

0:55:13.239 --> 0:55:13.760
<v Speaker 17>a problem.

0:55:13.880 --> 0:55:16.879
<v Speaker 4>So I think seven weeks of training. I love this, right,

0:55:17.040 --> 0:55:20.320
<v Speaker 4>power of backups, importance of privacy controls and software, the

0:55:20.360 --> 0:55:22.680
<v Speaker 4>operation of virtual private networks, and how to assemble it

0:55:22.719 --> 0:55:25.839
<v Speaker 4>all into a cybersecurity plan. Seven weeks and they can

0:55:25.880 --> 0:55:29.080
<v Speaker 4>then take on clients. I love it. It's just a

0:55:29.120 --> 0:55:32.360
<v Speaker 4>really smart story and just people figuring out how to

0:55:32.360 --> 0:55:35.000
<v Speaker 4>get it done. MARGI thank you so much, appreciate it.

0:55:35.000 --> 0:55:37.759
<v Speaker 4>Margi Murphy, Cybersecurity report at Bloomberg News. She is there

0:55:37.760 --> 0:55:40.279
<v Speaker 4>on zoom in San Francisco. Jill Webber, the editor of

0:55:40.280 --> 0:55:42.520
<v Speaker 4>Bloomberg Business Week, here in studio. This story in the

0:55:42.560 --> 0:55:45.440
<v Speaker 4>upcoming new issue of Business Week. Do add on newstands

0:55:45.440 --> 0:55:48.920
<v Speaker 4>on Thursday. Online already on the Bloomberg This is Bootberg Radio.

0:55:50.560 --> 0:55:54.120
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:55:54.160 --> 0:55:56.680
<v Speaker 1>live weekdays from two to five pm Easter.

0:55:56.719 --> 0:55:59.960
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:56:00.320 --> 0:56:03.359
<v Speaker 1>You can also listen live to our flagship New York station,

0:56:03.920 --> 0:56:06.840
<v Speaker 1>Just say Alexa play Bloomberg. You Love and thirty.

0:56:08.640 --> 0:56:11.000
<v Speaker 4>The world was once in love with them and thanks

0:56:11.040 --> 0:56:13.759
<v Speaker 4>to account and hiss ip and industry was created until,

0:56:13.800 --> 0:56:16.920
<v Speaker 4>of course, disaster struck in nineteen thirty seven. Fast forward

0:56:17.080 --> 0:56:20.440
<v Speaker 4>and you adding a multi billionaire tech titan, the Airship.

0:56:20.520 --> 0:56:22.560
<v Speaker 4>It is packed with more in the past, the present,

0:56:22.600 --> 0:56:25.400
<v Speaker 4>in the future of lighter than air vehicles. A story

0:56:25.400 --> 0:56:27.600
<v Speaker 4>in the new double issue of Bloomberg Business Week with

0:56:27.719 --> 0:56:31.160
<v Speaker 4>us is Ashley Vance joining us on the phone along

0:56:31.160 --> 0:56:33.319
<v Speaker 4>with the editor of Bloomberg Business Week, Joe Weber here

0:56:33.440 --> 0:56:36.799
<v Speaker 4>in studio. Joe sounds like this is a story that's

0:56:36.840 --> 0:56:38.760
<v Speaker 4>been in the works for a little bit.

0:56:39.440 --> 0:56:43.120
<v Speaker 7>More than a little bit, and Ashley had just an

0:56:43.200 --> 0:56:49.239
<v Speaker 7>inside look at what is just an incredible story. You

0:56:49.280 --> 0:56:51.840
<v Speaker 7>mentioned Airship, So we're going to talk about an effort

0:56:51.960 --> 0:56:55.640
<v Speaker 7>to modernize that airship. That takes a lot of money,

0:56:55.760 --> 0:56:57.880
<v Speaker 7>a lot of patients, on a lot of time, and

0:56:57.960 --> 0:57:02.759
<v Speaker 7>it really starts Deck kades ago with the Hindenburg and

0:57:02.800 --> 0:57:09.360
<v Speaker 7>the disaster that was then, and so much attention basically,

0:57:09.440 --> 0:57:11.920
<v Speaker 7>you know, has always been on that, and everybody's probably

0:57:11.920 --> 0:57:14.640
<v Speaker 7>just forgotten that once upon a time there was hope

0:57:14.719 --> 0:57:17.960
<v Speaker 7>that the airship, the era of the of the airship,

0:57:18.840 --> 0:57:21.120
<v Speaker 7>was going to be a thing and we might be

0:57:21.160 --> 0:57:23.400
<v Speaker 7>in the brink of it again. Okay, Ashley, I've set

0:57:23.440 --> 0:57:25.600
<v Speaker 7>that up and been kind of a long winded with it.

0:57:25.640 --> 0:57:28.760
<v Speaker 7>I want you to tell us how you found out

0:57:29.360 --> 0:57:32.760
<v Speaker 7>about Sergey Brin's attempt to bring back the airship.

0:57:34.360 --> 0:57:36.320
<v Speaker 10>Yeah, well, this one's a bit of a long in

0:57:36.440 --> 0:57:40.440
<v Speaker 10>winding story. I broke the first story on this around

0:57:40.520 --> 0:57:43.360
<v Speaker 10>like twenty seventeen. I had heard rumors that Serge was

0:57:43.360 --> 0:57:46.960
<v Speaker 10>building this secret airship near my house in Mountain View,

0:57:47.040 --> 0:57:51.120
<v Speaker 10>California at NASA AMES. And we published that story and

0:57:51.160 --> 0:57:55.400
<v Speaker 10>SERGEI was not happy about it. And then and then

0:57:55.520 --> 0:57:59.640
<v Speaker 10>some years passed and I just I met the man

0:57:59.680 --> 0:58:03.040
<v Speaker 10>who's actually doing the building. This guy named Al Weston

0:58:03.360 --> 0:58:09.520
<v Speaker 10>is an aerospace engineer and he forgave me for disclosing

0:58:09.640 --> 0:58:13.040
<v Speaker 10>his secrets and then actually let me watch the construction

0:58:13.320 --> 0:58:15.440
<v Speaker 10>of this airship over the last couple of years, and

0:58:16.280 --> 0:58:18.720
<v Speaker 10>in next month, in June, it comes out of the

0:58:18.760 --> 0:58:21.919
<v Speaker 10>hangar for the first time. The first craft is called

0:58:21.920 --> 0:58:24.160
<v Speaker 10>the Pathfinder one and.

0:58:24.240 --> 0:58:29.360
<v Speaker 7>The company that al Weston's CEO of Lighter than Air. Obviously,

0:58:29.400 --> 0:58:32.920
<v Speaker 7>the thing with the Hindenburg was that it went up

0:58:32.960 --> 0:58:36.080
<v Speaker 7>in flames, went down in flames. To be more specific,

0:58:36.680 --> 0:58:38.200
<v Speaker 7>what is different about this.

0:58:38.200 --> 0:58:42.480
<v Speaker 10>Attempt, Well, so you're right, I mean, we have this

0:58:42.600 --> 0:58:46.440
<v Speaker 10>glorious period from kind of like the early nineteen hundreds,

0:58:46.480 --> 0:58:48.840
<v Speaker 10>even you know, the Hinderberg I think was nineteen thirty seven,

0:58:48.960 --> 0:58:52.920
<v Speaker 10>and even past there where where we actually various countries

0:58:52.960 --> 0:58:55.720
<v Speaker 10>produced hundreds of airships. They were used for tourism, in

0:58:55.760 --> 0:59:00.280
<v Speaker 10>the military, all kinds of stuff. The Hindenburg disaster put

0:59:00.280 --> 0:59:02.440
<v Speaker 10>an end to the tourism things, and then and then

0:59:02.480 --> 0:59:06.280
<v Speaker 10>airplane kind of ended the rest. And nobody has attempted,

0:59:06.320 --> 0:59:09.400
<v Speaker 10>you know, we see blimps and whatever, hot air balloons,

0:59:09.440 --> 0:59:13.600
<v Speaker 10>but nobody's attempted to make a proper airship with a

0:59:13.720 --> 0:59:17.480
<v Speaker 10>rigid structure, which is what allows them to get really

0:59:17.560 --> 0:59:20.400
<v Speaker 10>large and carry lots of stuff and lots of people.

0:59:20.840 --> 0:59:23.360
<v Speaker 10>No one's tried to do that for eighty five years,

0:59:23.600 --> 0:59:27.520
<v Speaker 10>and so this is the first attempt. As you mentioned, Joel,

0:59:27.520 --> 0:59:29.960
<v Speaker 10>it takes a lot of money. And then and then

0:59:30.040 --> 0:59:32.919
<v Speaker 10>you know they've tried to modernize the whole idea given

0:59:32.960 --> 0:59:35.680
<v Speaker 10>that it's been eighty five years.

0:59:35.440 --> 0:59:39.080
<v Speaker 7>And so what how does it accomplish the lighter than air, right,

0:59:39.160 --> 0:59:42.400
<v Speaker 7>because previously that was hydrogen. We know that's explosive.

0:59:42.440 --> 0:59:47.480
<v Speaker 10>So the magic is Yeah, this time it's helium, which

0:59:48.200 --> 0:59:52.240
<v Speaker 10>which has the benefit of not being flammable. It is

0:59:52.320 --> 0:59:53.280
<v Speaker 10>a lot more expensing.

0:59:53.280 --> 0:59:56.160
<v Speaker 7>Seems like a key ingredient there, right right.

0:59:57.160 --> 1:00:00.000
<v Speaker 10>I mean, you know there are people now the hit

1:00:00.400 --> 1:00:03.640
<v Speaker 10>it is very complicated the series on what exactly went wrong. There.

1:00:03.640 --> 1:00:05.800
<v Speaker 10>There are people who think you could build these with

1:00:05.880 --> 1:00:08.880
<v Speaker 10>hydrogen and do it much more safely. But obviously there's

1:00:08.920 --> 1:00:12.520
<v Speaker 10>you know, all these years later, the sticks in people's heads.

1:00:12.800 --> 1:00:16.400
<v Speaker 10>But this one's helium. It's it's enormous. It's bigger than

1:00:16.440 --> 1:00:21.200
<v Speaker 10>a football field in lengths. I've seen it many times

1:00:20.800 --> 1:00:25.640
<v Speaker 10>and it's this time it's made instead of wood or metal,

1:00:25.680 --> 1:00:28.840
<v Speaker 10>it's made out of carbon fiber and titanium, so it's

1:00:28.840 --> 1:00:32.440
<v Speaker 10>a lot lighter and sturdier than the airships of the past.

1:00:32.520 --> 1:00:36.240
<v Speaker 10>And so this really is this modern take on one

1:00:36.320 --> 1:00:39.800
<v Speaker 10>and now obviously kind of goes searching for a purpose.

1:00:40.120 --> 1:00:42.600
<v Speaker 4>I guess I'm curious too about what's it like inside.

1:00:44.600 --> 1:00:47.120
<v Speaker 10>Yeah, well, this one for the moment, it's I would

1:00:47.160 --> 1:00:51.000
<v Speaker 10>say not super super spectacular. It hasn't gone alot like

1:00:51.040 --> 1:00:53.760
<v Speaker 10>on the inside of the actual structure. It's amazing. You

1:00:53.800 --> 1:00:59.800
<v Speaker 10>see this geometric pattern of all these carbon fiber tubes

1:01:00.160 --> 1:01:03.840
<v Speaker 10>again to the titanium and all the electronics and everything

1:01:03.960 --> 1:01:06.960
<v Speaker 10>that goes into this. The outside it looks just like

1:01:07.040 --> 1:01:09.560
<v Speaker 10>any kind of blimp airship you might have seen before.

1:01:09.640 --> 1:01:13.040
<v Speaker 10>And there's a gondola underneath that has room for a

1:01:13.080 --> 1:01:15.800
<v Speaker 10>couple of pilots and probably about eight or ten people.

1:01:16.000 --> 1:01:20.280
<v Speaker 10>And this first one, the Pathfinder one from LTA is

1:01:20.440 --> 1:01:23.160
<v Speaker 10>this is it's almost like a prototype to prove what

1:01:23.200 --> 1:01:26.120
<v Speaker 10>they can do. They already have plans to make a

1:01:26.680 --> 1:01:29.800
<v Speaker 10>much much larger one as their second craft.

1:01:30.160 --> 1:01:32.720
<v Speaker 4>One thing I wanted to ask you about Alan Western

1:01:32.880 --> 1:01:36.120
<v Speaker 4>and Serge Bryn. How did these two guys get together.

1:01:37.600 --> 1:01:42.400
<v Speaker 10>It's an odd pairing. Yeah, right, it's almost It was

1:01:42.440 --> 1:01:47.040
<v Speaker 10>almost a marriage made through logistics. Google's headquarters are about

1:01:47.040 --> 1:01:50.080
<v Speaker 10>two miles from NASA Ames, which is where the Pathfinder

1:01:50.120 --> 1:01:54.680
<v Speaker 10>one is being built, NASA's Silicon Valley Center, and now Weston.

1:01:55.360 --> 1:01:57.760
<v Speaker 10>He had a career in the Air Force, working on

1:01:57.840 --> 1:02:00.880
<v Speaker 10>pretty top secret sort of projects like this wars missile

1:02:00.920 --> 1:02:03.480
<v Speaker 10>defense shields, and then he ended up at AIMS for

1:02:03.520 --> 1:02:06.760
<v Speaker 10>many years working on low cost lunar landers and other

1:02:06.800 --> 1:02:11.120
<v Speaker 10>space projects. And so they met just by way of

1:02:11.200 --> 1:02:14.640
<v Speaker 10>things Google had been doing in concert with NASA and

1:02:14.720 --> 1:02:18.200
<v Speaker 10>various projects, and they both struck up this kinship around airships.

1:02:18.240 --> 1:02:20.080
<v Speaker 10>They both just really liked them. This is what this

1:02:20.200 --> 1:02:24.440
<v Speaker 10>boils down to is that Sergey Ran likes airships and

1:02:24.560 --> 1:02:25.200
<v Speaker 10>he wanted one.

1:02:25.440 --> 1:02:27.880
<v Speaker 7>So what are they going to use these for? Is

1:02:27.880 --> 1:02:28.600
<v Speaker 7>it clear yet?

1:02:30.200 --> 1:02:34.000
<v Speaker 10>Yeah, when it is clear what they intend to use

1:02:34.040 --> 1:02:36.200
<v Speaker 10>it for, I don't know if the business case is

1:02:36.240 --> 1:02:39.000
<v Speaker 10>totally clear. They you know, SERGEI maybe doesn't have to

1:02:39.040 --> 1:02:41.760
<v Speaker 10>turn this into a profitable, profitable thing. He wants to

1:02:41.840 --> 1:02:47.080
<v Speaker 10>use them to to take tons of cargo. He's very

1:02:47.120 --> 1:02:50.200
<v Speaker 10>into disaster relief. This is kind of where he focuses

1:02:51.080 --> 1:02:53.840
<v Speaker 10>some of his money. So you'd fly tons of cargo

1:02:54.120 --> 1:02:56.800
<v Speaker 10>into an area that maybe's hit by a hurricane that

1:02:56.920 --> 1:02:59.600
<v Speaker 10>can't be reached very well by by boats or planes,

1:02:59.680 --> 1:03:03.160
<v Speaker 10>or the instructures damaged, and you can drop an airship

1:03:03.320 --> 1:03:05.760
<v Speaker 10>in there. There is a pretty strong case to be

1:03:05.840 --> 1:03:10.680
<v Speaker 10>made that this is a greener form of shipping cargoes

1:03:10.800 --> 1:03:14.960
<v Speaker 10>than something like a plane and possibly in some cases

1:03:15.480 --> 1:03:18.640
<v Speaker 10>a ship or a train. But they can These large

1:03:18.760 --> 1:03:22.600
<v Speaker 10>airships that LTA is looking to build can carry hundreds

1:03:22.600 --> 1:03:25.960
<v Speaker 10>of tons of stuff, and then far in the future

1:03:27.120 --> 1:03:29.760
<v Speaker 10>tourism might come back again with these kind of flying

1:03:31.160 --> 1:03:33.960
<v Speaker 10>somewhere between a cruise ship and a five star hotel

1:03:34.160 --> 1:03:37.120
<v Speaker 10>in the sky, and you would take like a two

1:03:37.200 --> 1:03:39.600
<v Speaker 10>day journey from London to New York and be able

1:03:39.600 --> 1:03:41.920
<v Speaker 10>to walk around and open the windows and sit on

1:03:42.000 --> 1:03:45.880
<v Speaker 10>a deck and have meals, you know, in class.

1:03:46.280 --> 1:03:48.160
<v Speaker 4>Sounds like somebody who actually went up and won and

1:03:48.200 --> 1:03:50.360
<v Speaker 4>got to open up a window and get the experience.

1:03:50.640 --> 1:03:53.440
<v Speaker 4>Take us to Germany, because one of my questions when

1:03:53.440 --> 1:03:55.400
<v Speaker 4>I was reading this, I'm like, is this really a business?

1:03:55.600 --> 1:03:57.560
<v Speaker 4>Take us to Germany and what's been going on there?

1:03:59.080 --> 1:04:02.320
<v Speaker 10>Right? So much of this airship pioneering was done by

1:04:02.800 --> 1:04:10.680
<v Speaker 10>Count Zeppelin in Germany, a person, and he's left his legacy. Oddly,

1:04:11.840 --> 1:04:14.400
<v Speaker 10>a bunch of intellectual property that that he came up

1:04:14.440 --> 1:04:18.280
<v Speaker 10>with ended up as the fuel of like an aerospace

1:04:18.280 --> 1:04:23.200
<v Speaker 10>and automotive empire in Germany. And the foundation behind this

1:04:23.240 --> 1:04:26.760
<v Speaker 10>intellectual property donates millions of dollars to the city of

1:04:26.800 --> 1:04:30.600
<v Speaker 10>friedrich Schaffen, where I went, and they have they fund

1:04:30.800 --> 1:04:34.400
<v Speaker 10>these these tourist flights at a Zeppelin nt airship. It's

1:04:34.440 --> 1:04:37.560
<v Speaker 10>it's smaller than the ones LTA's building, but yeah, for

1:04:37.560 --> 1:04:40.400
<v Speaker 10>about eight hundred dollars, you could fly for ninety minutes

1:04:40.600 --> 1:04:44.320
<v Speaker 10>and feel like a wizard. It's a strange experience.

1:04:44.360 --> 1:04:45.320
<v Speaker 4>The way you did it.

1:04:46.560 --> 1:04:48.280
<v Speaker 10>I did it. I did it. I did it for

1:04:48.640 --> 1:04:50.720
<v Speaker 10>the story and for Hello World by TV show, So

1:04:51.000 --> 1:04:55.240
<v Speaker 10>you know, you it's very different to a plane or

1:04:55.240 --> 1:04:58.280
<v Speaker 10>a helicopter, which which can take off quite violently and

1:04:58.280 --> 1:05:01.200
<v Speaker 10>suddenly you just kind of slow glide up and then

1:05:01.240 --> 1:05:04.640
<v Speaker 10>you're you've got some propulsion from these propellers, but you're

1:05:04.680 --> 1:05:06.600
<v Speaker 10>also at the mercy of the wind and you just

1:05:06.640 --> 1:05:11.360
<v Speaker 10>kind of bob around and there's no air pressure like

1:05:11.440 --> 1:05:13.560
<v Speaker 10>in a plane where the cabin is pressure, so you

1:05:13.560 --> 1:05:15.800
<v Speaker 10>could just open the window. You can stick your head

1:05:15.840 --> 1:05:18.800
<v Speaker 10>out and see all the sites below. I felt like

1:05:18.880 --> 1:05:19.760
<v Speaker 10>a like a dog.

1:05:20.360 --> 1:05:22.840
<v Speaker 7>I was gonna say, how many times did they ask

1:05:22.920 --> 1:05:26.920
<v Speaker 7>you to put your head back inside it? Sir?

1:05:27.000 --> 1:05:28.480
<v Speaker 4>Could you put your head back in?

1:05:29.640 --> 1:05:32.280
<v Speaker 10>I think our whole Hello World crew was left and

1:05:32.280 --> 1:05:34.520
<v Speaker 10>every eye this huge smile of my face. I liked.

1:05:34.600 --> 1:05:35.560
<v Speaker 10>I liked the window thing.

1:05:36.560 --> 1:05:39.760
<v Speaker 7>So where does it go from here? There's there's gonna

1:05:39.760 --> 1:05:44.560
<v Speaker 7>be this unveiling, uh and what comes next for LT

1:05:44.680 --> 1:05:45.280
<v Speaker 7>A lighter than that.

1:05:46.440 --> 1:05:48.240
<v Speaker 10>It's a pretty cool part of the story. I think,

1:05:48.320 --> 1:05:51.880
<v Speaker 10>you know. The one hundred years ago Goodyear was the

1:05:52.000 --> 1:05:54.160
<v Speaker 10>airship king in the United States, and most of that

1:05:54.240 --> 1:05:58.880
<v Speaker 10>took place in Ohio. Sergey Brinn has actually his company,

1:05:58.960 --> 1:06:02.880
<v Speaker 10>his family trust has gotten taken over the old Goodyear

1:06:03.000 --> 1:06:06.360
<v Speaker 10>air Dock, which is a huge hangar in Akron, Ohio.

1:06:06.720 --> 1:06:09.680
<v Speaker 10>And that's where their next vehicle, which is called Past

1:06:09.760 --> 1:06:12.320
<v Speaker 10>Finer three for some reason they just skipped past find

1:06:12.360 --> 1:06:14.960
<v Speaker 10>or two, is going to come to life at this

1:06:15.040 --> 1:06:18.240
<v Speaker 10>air dock in Akron. And there's still all these people

1:06:18.280 --> 1:06:20.920
<v Speaker 10>who used to work for Goodyear, and and there's a

1:06:21.000 --> 1:06:25.600
<v Speaker 10>university there that has a bunch of archives and talent

1:06:26.040 --> 1:06:28.560
<v Speaker 10>in this field. And so it's like a revival of

1:06:28.600 --> 1:06:33.280
<v Speaker 10>this hundred year old story, and oddly Sergey Brinn is

1:06:33.320 --> 1:06:34.280
<v Speaker 10>at the center of it.

1:06:34.920 --> 1:06:37.400
<v Speaker 7>So you got to talk to him about his interest here, right.

1:06:38.720 --> 1:06:44.040
<v Speaker 10>I wish figure Ferger saw my first story. He told

1:06:44.040 --> 1:06:46.760
<v Speaker 10>me that he enjoys my writing, but that he didn't

1:06:46.760 --> 1:06:49.920
<v Speaker 10>want to talk about his airship. And that was about

1:06:49.960 --> 1:06:54.400
<v Speaker 10>six years ago, and I frequently asked him he knows,

1:06:54.520 --> 1:06:56.200
<v Speaker 10>he knows I've been in there, he knows I've been

1:06:56.240 --> 1:06:59.040
<v Speaker 10>talking to Al. He just does not want to comments

1:06:59.200 --> 1:07:01.880
<v Speaker 10>about the airship himself. And so so it's kind of

1:07:01.880 --> 1:07:05.840
<v Speaker 10>been me talking aw lesson about Sergey's motivations and then

1:07:05.920 --> 1:07:08.080
<v Speaker 10>and then talking to a bunch of employees there. I'm

1:07:08.080 --> 1:07:11.240
<v Speaker 10>not sure why wants to be so secretive. You know,

1:07:11.360 --> 1:07:13.240
<v Speaker 10>the cat is out of the bag, but but there

1:07:13.240 --> 1:07:13.560
<v Speaker 10>it is.

1:07:14.440 --> 1:07:16.640
<v Speaker 7>Well, there's a lot of money that he's put into

1:07:16.680 --> 1:07:20.880
<v Speaker 7>this thing, and so I'm wondering, you know, like, what's

1:07:20.920 --> 1:07:25.040
<v Speaker 7>in it? What's in it for him?

1:07:25.080 --> 1:07:27.920
<v Speaker 10>Part of it? I think he really does do all

1:07:27.960 --> 1:07:30.640
<v Speaker 10>this humanitarian stuff. I think that's part of it. I

1:07:30.640 --> 1:07:32.840
<v Speaker 10>think he really does just want an airship. You know,

1:07:32.880 --> 1:07:37.280
<v Speaker 10>everybody's got a mega yacht. Not many of these billionaires.

1:07:37.560 --> 1:07:44.760
<v Speaker 9>A rocket or something like that, yeast the rockets, Like, uh,

1:07:45.040 --> 1:07:48.000
<v Speaker 9>you know, is this how does this compare with the rocket?

1:07:48.000 --> 1:07:48.439
<v Speaker 1>Do you think?

1:07:49.560 --> 1:07:49.840
<v Speaker 4>Well?

1:07:50.160 --> 1:07:53.480
<v Speaker 10>I mean it's it's similar in terms of sort of

1:07:53.480 --> 1:07:56.600
<v Speaker 10>the scale of this and the cost and the time

1:07:56.640 --> 1:07:58.360
<v Speaker 10>it takes. The mega Yeah, I think you roll up

1:07:58.400 --> 1:08:01.000
<v Speaker 10>to the party and everyone's showing picture of their rockets

1:08:01.080 --> 1:08:03.120
<v Speaker 10>or their lega yachts and you're the only one with

1:08:03.200 --> 1:08:07.640
<v Speaker 10>the airshipt photo. That's it's it's the claim to say it.

1:08:07.640 --> 1:08:11.200
<v Speaker 7>Is true barely if you're going for just like number

1:08:11.240 --> 1:08:13.880
<v Speaker 7>of crazy things that can go in the air, fewer

1:08:13.920 --> 1:08:18.560
<v Speaker 7>air airships than there are rockets, right, Yeah.

1:08:18.520 --> 1:08:20.160
<v Speaker 10>But you know, I think this is this is like

1:08:20.200 --> 1:08:24.320
<v Speaker 10>the worry. So many people are really in the airshifts.

1:08:24.360 --> 1:08:26.880
<v Speaker 10>They've seen a bunch of startups coming go. It always

1:08:26.960 --> 1:08:29.720
<v Speaker 10>ends up costing more money, and so people are excited

1:08:30.200 --> 1:08:33.280
<v Speaker 10>in this field, but they're really concerned that Sergey loses

1:08:33.360 --> 1:08:35.120
<v Speaker 10>interest as this just keeps costing.

1:08:35.200 --> 1:08:37.400
<v Speaker 7>But once he goes up, right, that's going to change everything.

1:08:37.400 --> 1:08:39.439
<v Speaker 7>You'll have his head out the windows. You know, he's

1:08:39.439 --> 1:08:40.439
<v Speaker 7>going to double down on it.

1:08:41.600 --> 1:08:44.160
<v Speaker 10>I think that's the hope for the guys at LTA

1:08:44.439 --> 1:08:48.040
<v Speaker 10>is just falls in love with it all over again.

1:08:48.080 --> 1:08:50.400
<v Speaker 10>This has taken a number of years longer I think

1:08:50.439 --> 1:08:53.280
<v Speaker 10>that he expected, and it's up over two hundred and

1:08:53.280 --> 1:08:56.080
<v Speaker 10>fifty million dollars, probably quite a bit above that. That

1:08:56.160 --> 1:09:01.120
<v Speaker 10>was the best figure I could get. And yeah, you know, so,

1:09:02.200 --> 1:09:04.160
<v Speaker 10>I'm sure he wants to see a bit more progress.

1:09:04.160 --> 1:09:07.439
<v Speaker 10>But he has acquired this facility at Ohio and and

1:09:08.080 --> 1:09:09.040
<v Speaker 10>is pushing on.

1:09:09.360 --> 1:09:11.240
<v Speaker 4>Are there dates like on the calendar, like there's going

1:09:11.320 --> 1:09:13.240
<v Speaker 4>to be some big press conference and we're going to

1:09:13.280 --> 1:09:16.400
<v Speaker 4>get to see a launch of it or I'm just curious,

1:09:16.439 --> 1:09:19.040
<v Speaker 4>like kind of what's on your radar of what's next

1:09:19.320 --> 1:09:21.400
<v Speaker 4>from the company and from them.

1:09:22.200 --> 1:09:22.400
<v Speaker 1>Yeah.

1:09:22.400 --> 1:09:25.559
<v Speaker 10>Absolutely, so I've seen it. I've seen it flying as

1:09:25.640 --> 1:09:27.240
<v Speaker 10>such as you can in a hangar. I mean, this

1:09:27.280 --> 1:09:29.519
<v Speaker 10>hangar is giant, so it could kind of bob around.

1:09:29.520 --> 1:09:33.800
<v Speaker 10>But in early June, after our story runs, I'm sure

1:09:34.000 --> 1:09:36.799
<v Speaker 10>LPA is going to put out an announcement to invite

1:09:37.400 --> 1:09:40.080
<v Speaker 10>some other press to see it come out of the

1:09:40.120 --> 1:09:43.000
<v Speaker 10>hangar for the first time. It doesn't immediately soar or

1:09:43.000 --> 1:09:45.519
<v Speaker 10>anything like that. There's a lot of ground testing that's

1:09:45.560 --> 1:09:47.519
<v Speaker 10>going to take place over months. It's got to get

1:09:47.520 --> 1:09:51.680
<v Speaker 10>certified by the FAA. Pilots have to be certified and

1:09:52.000 --> 1:09:53.760
<v Speaker 10>all that. So it's going to be some time before

1:09:53.760 --> 1:09:57.320
<v Speaker 10>it's soaring in the air. But it's it's all completed now,

1:09:57.400 --> 1:10:01.479
<v Speaker 10>and yes, it's going to make it big entrance into

1:10:01.520 --> 1:10:02.599
<v Speaker 10>the world here every day.

1:10:03.000 --> 1:10:04.679
<v Speaker 4>All right, I'm just going to get a little teaser.

1:10:04.720 --> 1:10:08.240
<v Speaker 4>There's well, I don't know Al Weston in a gorilla suit,

1:10:08.280 --> 1:10:10.880
<v Speaker 4>but maybe people have to check that one out. It's

1:10:10.920 --> 1:10:13.640
<v Speaker 4>a little bit of a rumor. This is really fascinating

1:10:13.640 --> 1:10:15.240
<v Speaker 4>when we think about kind of where things are going

1:10:15.280 --> 1:10:17.400
<v Speaker 4>to go and how things are moving around. You know, Ashley,

1:10:17.400 --> 1:10:19.680
<v Speaker 4>You're always on it, so thank you so much for

1:10:20.240 --> 1:10:22.960
<v Speaker 4>sharing this with us. Ashley Vance, of course he is.

1:10:22.960 --> 1:10:26.720
<v Speaker 4>Bloomberg BusinessWeek features writer joining us along with the editor

1:10:26.760 --> 1:10:28.960
<v Speaker 4>of Bloomberg Business Week, Jill Weber, and the story and

1:10:29.000 --> 1:10:31.519
<v Speaker 4>the upcoming new issue of Bloomberg Business Week.

1:10:31.840 --> 1:10:35.400
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

1:10:35.439 --> 1:10:37.959
<v Speaker 1>live weekdays from two to five pm Easter.

1:10:38.000 --> 1:10:41.320
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

1:10:41.600 --> 1:10:44.639
<v Speaker 1>You can also listen live to our flagship New York station,

1:10:45.200 --> 1:10:48.440
<v Speaker 1>Just Say Alexa Play Bloomberg eleven thirty.

1:10:49.680 --> 1:10:51.960
<v Speaker 4>So about a week ago, Bloomberg News was that with

1:10:52.000 --> 1:10:55.000
<v Speaker 4>a story. It was about how airlines first class makeovers

1:10:55.040 --> 1:10:57.960
<v Speaker 4>are giving the rich hotel rooms in the sky. That

1:10:58.040 --> 1:11:01.160
<v Speaker 4>means carriers are investing billions of dollar to upgrade cabins.

1:11:01.200 --> 1:11:04.679
<v Speaker 4>They've got sofas, double beds, TVs, desks, wardrobes, mini bars,

1:11:05.320 --> 1:11:07.879
<v Speaker 4>and in some cases Matt Miller walking showers.

1:11:08.600 --> 1:11:09.280
<v Speaker 3>That's awesome.

1:11:09.680 --> 1:11:10.280
<v Speaker 14>I know it.

1:11:10.680 --> 1:11:12.479
<v Speaker 6>I think that right sign.

1:11:12.760 --> 1:11:14.559
<v Speaker 4>It's like your flight. You're gonna take it out over

1:11:14.600 --> 1:11:15.439
<v Speaker 4>the weekend, right.

1:11:16.000 --> 1:11:18.280
<v Speaker 6>Yeah, No, I'm flying to Detroit over the weekend and

1:11:18.360 --> 1:11:21.519
<v Speaker 6>it'll probably be on an incredibly uncomfortable narrow body jet

1:11:21.640 --> 1:11:22.400
<v Speaker 6>in coach.

1:11:22.760 --> 1:11:26.040
<v Speaker 4>Okay, sorry about that. Well listen. If that doesn't cut it, though,

1:11:26.040 --> 1:11:28.519
<v Speaker 4>these upgrades that some are enjoying in first class, you

1:11:28.560 --> 1:11:31.280
<v Speaker 4>can always buy your own private jet, including you, Matt Miller.

1:11:31.360 --> 1:11:34.640
<v Speaker 4>So let's get into that with our next guest, Janine Janarelli.

1:11:34.720 --> 1:11:36.760
<v Speaker 4>She is founder and president of par Avion. It's an

1:11:36.840 --> 1:11:40.320
<v Speaker 4>international business aircraft sales and a marketing firm, and she

1:11:40.439 --> 1:11:43.240
<v Speaker 4>joins us once again on zoom in Houston, Texas. Jannin,

1:11:43.360 --> 1:11:46.160
<v Speaker 4>nice to have you back here on Bloomberg it's been

1:11:46.200 --> 1:11:48.720
<v Speaker 4>a little while. Tell us about the market and what

1:11:48.760 --> 1:11:51.080
<v Speaker 4>you're seeing right now and how everything has really kind

1:11:51.120 --> 1:11:54.640
<v Speaker 4>of settled in post pandemic, Aha.

1:11:54.520 --> 1:11:57.360
<v Speaker 13>Settled in well. The term that you're hearing off used

1:11:57.400 --> 1:12:00.880
<v Speaker 13>among the trade is a return and normalization, and it

1:12:00.960 --> 1:12:03.320
<v Speaker 13>certainly feels that way now that we're through Q one

1:12:03.400 --> 1:12:06.360
<v Speaker 13>and well into Q two, as compared to the last

1:12:06.360 --> 1:12:10.160
<v Speaker 13>two years. Whereas in late twenty one and all of

1:12:10.240 --> 1:12:13.720
<v Speaker 13>twenty two we were saying, who knew a pandemic could

1:12:13.720 --> 1:12:18.080
<v Speaker 13>be good for business aviation? But it was. And now

1:12:18.120 --> 1:12:21.559
<v Speaker 13>that we're on the backside of that, we see I

1:12:21.720 --> 1:12:24.200
<v Speaker 13>personally see and I hear it echoed by my peers,

1:12:24.640 --> 1:12:28.960
<v Speaker 13>a pronounced slowdown in the number of inquiries, the level

1:12:29.000 --> 1:12:33.240
<v Speaker 13>of activity, and you know, prices are starting to correct.

1:12:33.760 --> 1:12:36.920
<v Speaker 6>So is that because I mean, I guess during the pandemic,

1:12:36.920 --> 1:12:40.400
<v Speaker 6>if you had enough money to fly not just privately,

1:12:40.600 --> 1:12:44.280
<v Speaker 6>but more importantly separately from everyone else, you did that

1:12:44.439 --> 1:12:48.439
<v Speaker 6>so that you wouldn't get sick. Now maybe people are

1:12:48.720 --> 1:12:51.960
<v Speaker 6>less worried about that and willing to you know, as

1:12:52.040 --> 1:12:56.400
<v Speaker 6>Carol said, you know, airlines, commercial airlines are putting your

1:12:56.439 --> 1:12:59.080
<v Speaker 6>own room on the flight, so you might as well,

1:12:59.120 --> 1:13:02.519
<v Speaker 6>just take that instead of buying a G five fifty

1:13:02.600 --> 1:13:03.280
<v Speaker 6>or whatever it is.

1:13:04.280 --> 1:13:08.679
<v Speaker 13>Well, there's still a huge difference between commercial airline travel

1:13:08.800 --> 1:13:11.519
<v Speaker 13>and that of flying on your own aircraft. I mean,

1:13:11.720 --> 1:13:14.679
<v Speaker 13>let's just talk about the convenience. First of all, there's

1:13:14.800 --> 1:13:18.160
<v Speaker 13>not necessarily a deadline by which time they're going to

1:13:18.200 --> 1:13:23.040
<v Speaker 13>close the door and you've missed your flight. Secondly, it's

1:13:23.240 --> 1:13:27.000
<v Speaker 13>not the restrictive sort of feel with business or private

1:13:27.040 --> 1:13:30.920
<v Speaker 13>aviation as it has with commercial and commercial you're sharing

1:13:30.960 --> 1:13:36.559
<v Speaker 13>the space still with dozens, if not hundreds of fellow

1:13:36.640 --> 1:13:40.280
<v Speaker 13>passengers that are trampling down the same aisle, using the

1:13:40.360 --> 1:13:44.559
<v Speaker 13>same restrooms, taking advantage of all the well limited open

1:13:44.640 --> 1:13:48.840
<v Speaker 13>space that you have. Whereas when people gravitated towards private

1:13:48.840 --> 1:13:52.320
<v Speaker 13>aircraft during the pandemic, it was exactly that, creating a

1:13:52.479 --> 1:13:56.200
<v Speaker 13>health corridor, so they knew who they were mingling with,

1:13:56.360 --> 1:13:58.920
<v Speaker 13>what they were touching, from the moment they left their

1:13:58.920 --> 1:14:02.479
<v Speaker 13>home till they reached their destination. You are correct there

1:14:02.600 --> 1:14:06.160
<v Speaker 13>is a slide back towards commercial travel, but I would

1:14:06.200 --> 1:14:07.479
<v Speaker 13>say most of the draw.

1:14:08.400 --> 1:14:10.599
<v Speaker 4>Sorry, no, well you don't want to jump in because

1:14:10.640 --> 1:14:14.760
<v Speaker 4>I am curious. You said normalization pronounced slow down. I

1:14:14.800 --> 1:14:17.120
<v Speaker 4>am curious what that means in your business? Is it

1:14:17.120 --> 1:14:19.400
<v Speaker 4>down fifty percent? Is it down forty percent? I mean,

1:14:19.400 --> 1:14:20.840
<v Speaker 4>I'm looking at your website.

1:14:21.080 --> 1:14:21.439
<v Speaker 5>You know.

1:14:23.200 --> 1:14:26.120
<v Speaker 4>What have I got here? As Cessna citation, a Bombardier

1:14:26.160 --> 1:14:29.720
<v Speaker 4>Global seventy five hundred. You're talking about planes echo for

1:14:29.760 --> 1:14:32.519
<v Speaker 4>what tens of millions of dollars? Hundreds of millions of dollars.

1:14:32.560 --> 1:14:36.479
<v Speaker 4>These are not inexpensive items. And I'm just curious, what's

1:14:36.479 --> 1:14:38.400
<v Speaker 4>a slowdown in this space look like?

1:14:39.360 --> 1:14:42.280
<v Speaker 13>Well, you know, slow down is probably let's talk activity.

1:14:42.680 --> 1:14:45.280
<v Speaker 13>Whereas before you could even get the airplane the market,

1:14:45.360 --> 1:14:46.719
<v Speaker 13>you had a ready buyer for it.

1:14:46.720 --> 1:14:47.559
<v Speaker 11>It was gone.

1:14:47.960 --> 1:14:52.120
<v Speaker 13>The advertising was just done to sort of serve as

1:14:52.120 --> 1:14:54.479
<v Speaker 13>a means by which to get other people to call in.

1:14:55.080 --> 1:14:59.160
<v Speaker 13>Today we are now seeing lead times where I should say,

1:14:59.400 --> 1:15:02.200
<v Speaker 13>bring the air have to market and you're going to

1:15:02.240 --> 1:15:04.639
<v Speaker 13>sit on the market ninety one hundred and twenty days

1:15:04.680 --> 1:15:08.599
<v Speaker 13>on average With most of the aircraft. I would say

1:15:09.000 --> 1:15:13.240
<v Speaker 13>the flight or the decline and activity is being felt

1:15:13.680 --> 1:15:16.479
<v Speaker 13>at the top end for sure, as well as at

1:15:16.479 --> 1:15:21.080
<v Speaker 13>the entry level. The two to seven million dollar business

1:15:21.200 --> 1:15:25.320
<v Speaker 13>jet that people jumped on a in a panic, in

1:15:25.400 --> 1:15:29.680
<v Speaker 13>a frenzied buying. I would say through late twenty right

1:15:29.760 --> 1:15:31.800
<v Speaker 13>up until Q three twenty two.

1:15:32.120 --> 1:15:33.439
<v Speaker 4>Right, that's all gone away.

1:15:34.960 --> 1:15:38.400
<v Speaker 6>By the way, in terms of you know, owning a

1:15:38.439 --> 1:15:42.639
<v Speaker 6>private jet and using it, how many people actually fly

1:15:42.800 --> 1:15:44.640
<v Speaker 6>their own Do you have clients like that?

1:15:45.760 --> 1:15:48.800
<v Speaker 13>A few, but very few. That is the small percentage

1:15:48.840 --> 1:15:53.400
<v Speaker 13>of the entire let's say ownership pool that actually pilot.

1:15:53.120 --> 1:15:54.000
<v Speaker 11>Their own aircraft.

1:15:54.160 --> 1:15:56.240
<v Speaker 13>So or at least in the category the airplane I

1:15:56.320 --> 1:15:56.760
<v Speaker 13>work with.

1:15:57.320 --> 1:15:59.679
<v Speaker 6>So, what are the hottest ones that you sell? What's

1:15:59.720 --> 1:16:03.080
<v Speaker 6>the private jet? If I, you know, have some liquidity

1:16:03.120 --> 1:16:06.760
<v Speaker 6>event and I'm all of a sudden holding a billion cash, I.

1:16:06.720 --> 1:16:08.479
<v Speaker 4>Come to you and say, can you sell your bitcoin?

1:16:08.600 --> 1:16:13.240
<v Speaker 6>Yeah, Jennine, give me the hottest IT jet that you've got.

1:16:13.280 --> 1:16:15.080
<v Speaker 6>What's the one that everybody wants.

1:16:15.960 --> 1:16:18.560
<v Speaker 13>I've got Global seventy five hundred that you're taking a

1:16:18.600 --> 1:16:22.280
<v Speaker 13>good look at. If you come into a billion dollars,

1:16:22.280 --> 1:16:24.400
<v Speaker 13>that is the aircraft for you. You can go anywhere in

1:16:24.400 --> 1:16:27.360
<v Speaker 13>the world quite comfortably. But the other side of the

1:16:27.400 --> 1:16:30.120
<v Speaker 13>it jet, let's call it an IT sector, is the

1:16:30.360 --> 1:16:35.040
<v Speaker 13>mid size super mid size popular airplane, perfect size ideally

1:16:35.080 --> 1:16:39.400
<v Speaker 13>suited for continental US travel, and the charter operators love it.

1:16:40.439 --> 1:16:41.920
<v Speaker 4>You know what I'm curious too about I think the

1:16:42.000 --> 1:16:43.599
<v Speaker 4>last time we talked, and again it was a few

1:16:44.000 --> 1:16:47.280
<v Speaker 4>few years ago. I think cross border was a big

1:16:47.280 --> 1:16:51.040
<v Speaker 4>thing for you. And so we're entrepreneurs. Who is buying today?

1:16:51.040 --> 1:16:54.840
<v Speaker 4>And I'm curious entrepreneurs maybe think Silicon Valley Bank or

1:16:54.880 --> 1:16:56.439
<v Speaker 4>slow down if that's had an impact.

1:16:57.800 --> 1:17:02.559
<v Speaker 13>Well, Hexcector certainly has seen a slowdown and decline of

1:17:02.600 --> 1:17:06.960
<v Speaker 13>inquiry is coming from that particular industry. But entrepreneurs are

1:17:06.960 --> 1:17:09.360
<v Speaker 13>still my sweet spot. And remember there are entrepreneurs doing

1:17:09.400 --> 1:17:14.280
<v Speaker 13>many different things, and one market declines, another one rises,

1:17:14.320 --> 1:17:18.120
<v Speaker 13>one industry declines, and other rises. In the aircraft sales world,

1:17:18.280 --> 1:17:22.080
<v Speaker 13>we make money coming and going in economic cycles. As

1:17:22.120 --> 1:17:24.320
<v Speaker 13>far as the cross border that's starting to pick up

1:17:24.360 --> 1:17:28.160
<v Speaker 13>but still lagging behind demand within the United.

1:17:27.840 --> 1:17:31.240
<v Speaker 6>States, Janine, what if I only have, like, I don't know,

1:17:31.280 --> 1:17:34.120
<v Speaker 6>fifty sixty million bucks, but I have a few friends

1:17:34.120 --> 1:17:38.280
<v Speaker 6>with fifty or sixty million bucks? Do you recommend people

1:17:38.320 --> 1:17:41.880
<v Speaker 6>going in on a jet or where do you steer

1:17:41.920 --> 1:17:44.559
<v Speaker 6>someone away from that idea? I mean, does it really

1:17:44.600 --> 1:17:47.519
<v Speaker 6>make sense to buy your own jet? Isn't it better

1:17:47.600 --> 1:17:48.640
<v Speaker 6>to be able to lease it?

1:17:48.680 --> 1:17:54.120
<v Speaker 13>Out occasionally, Well, what you buy is driven by your need.

1:17:54.320 --> 1:17:57.680
<v Speaker 13>For sure, how many hours per month you anticipate you'll

1:17:57.680 --> 1:18:00.000
<v Speaker 13>be flying, what's the distances you're going to be traveled.

1:18:00.600 --> 1:18:04.320
<v Speaker 13>While partnership in aircraft is not uncommon, it doesn't always

1:18:04.360 --> 1:18:08.000
<v Speaker 13>work because you have conflicting needs or conflicting schedules. So

1:18:08.040 --> 1:18:09.880
<v Speaker 13>if you had three friends and each of you had

1:18:09.880 --> 1:18:13.880
<v Speaker 13>fifty million apiece, sure pull and buy one jet. That

1:18:14.080 --> 1:18:17.240
<v Speaker 13>might facilitate some of the trips, but ultimately I think

1:18:17.240 --> 1:18:18.639
<v Speaker 13>you'll find you each need your own.

1:18:18.960 --> 1:18:21.080
<v Speaker 4>You know, I do wonder too, Jinny, like there are weird,

1:18:21.240 --> 1:18:23.360
<v Speaker 4>kind of weird things that we sometimes look at for

1:18:23.479 --> 1:18:26.439
<v Speaker 4>global economic indicators, and I'm curious about what you are

1:18:26.439 --> 1:18:28.280
<v Speaker 4>seeing in your business as it says to you that

1:18:28.360 --> 1:18:31.240
<v Speaker 4>a recession is on the horizon, or how would you

1:18:31.320 --> 1:18:34.880
<v Speaker 4>describe kind of the economic outlook the big R word.

1:18:35.120 --> 1:18:39.479
<v Speaker 13>So that's obviously been something that's been discussed within the

1:18:39.520 --> 1:18:44.320
<v Speaker 13>trade for oh since the middle of last year, because

1:18:44.360 --> 1:18:48.120
<v Speaker 13>we know it's looming. An economic cycle is inevitable, and

1:18:48.360 --> 1:18:50.640
<v Speaker 13>we've been through a boom period in our business, and

1:18:50.680 --> 1:18:53.680
<v Speaker 13>I would say that business jets historically have been a

1:18:53.720 --> 1:18:56.880
<v Speaker 13>pretty good leading indicator of things to come. I think

1:18:57.120 --> 1:18:59.760
<v Speaker 13>the waters are a bit muddied at this time, that

1:19:00.240 --> 1:19:04.599
<v Speaker 13>we're not predicting what's coming next. The slowdown that we're feeling,

1:19:04.720 --> 1:19:08.240
<v Speaker 13>I think was inevitable as a result of several things.

1:19:08.280 --> 1:19:12.200
<v Speaker 13>One the one hundred percent bonus appreciation going away at

1:19:12.200 --> 1:19:15.960
<v Speaker 13>the end of last year. The pandemic frenzied buying is

1:19:16.000 --> 1:19:19.240
<v Speaker 13>pretty much over. Most everyone made their selections, got their

1:19:19.320 --> 1:19:22.800
<v Speaker 13>deals done. And now that's why we call it a

1:19:22.840 --> 1:19:27.880
<v Speaker 13>return to normalization, a normal turntime on the aircraft. The

1:19:28.000 --> 1:19:31.960
<v Speaker 13>number of inquiries are equalizing, and you know, as prices slide,

1:19:32.240 --> 1:19:35.680
<v Speaker 13>it's going to stimulate demand once again. And I have

1:19:35.760 --> 1:19:37.640
<v Speaker 13>to say that I'm not sure prices are going to

1:19:37.640 --> 1:19:42.519
<v Speaker 13>slide dramatically. They're going to correct slightly. And if these

1:19:42.560 --> 1:19:46.320
<v Speaker 13>prices slid to twenty nineteen level, is that still a

1:19:46.360 --> 1:19:47.800
<v Speaker 13>win for everybody?

1:19:48.360 --> 1:19:50.920
<v Speaker 6>I hear you. I think about that all the time myself. Actually,

1:19:51.200 --> 1:19:53.720
<v Speaker 6>what's that you know, if we drop just back to

1:19:53.760 --> 1:19:56.599
<v Speaker 6>twenty nineteen levels, is that bad? Or is that a win?

1:19:56.680 --> 1:20:00.439
<v Speaker 6>We've gone through this incredible pandemic. You know, well, it

1:20:00.920 --> 1:20:03.880
<v Speaker 6>doesn't seem like it's such a horrible stat anyway. Janine

1:20:03.920 --> 1:20:05.920
<v Speaker 6>great having you on. I always love to get a

1:20:06.000 --> 1:20:10.040
<v Speaker 6>check on the private jet industry. Jeanine Giannarelli. They are

1:20:10.120 --> 1:20:13.000
<v Speaker 6>founder and president of par Abr.

1:20:16.840 --> 1:20:20.439
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:20:20.439 --> 1:20:23.360
<v Speaker 1>live weekdays from two to five pm Eastern.

1:20:23.000 --> 1:20:26.400
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and YouTube.

1:20:26.640 --> 1:20:29.679
<v Speaker 1>You can also listen live to our flagship New York station,

1:20:30.240 --> 1:20:33.120
<v Speaker 1>Just Say Alexa Play Bloomberg E Love and thirty.

1:20:34.720 --> 1:20:37.360
<v Speaker 4>It's the official, unofficial start of the summer. Our Bloomberg

1:20:37.400 --> 1:20:40.280
<v Speaker 4>Pursuits team is back with its annual summer travel guide

1:20:40.320 --> 1:20:42.840
<v Speaker 4>on this Memorial Day weekend, and we've got two great

1:20:42.880 --> 1:20:44.960
<v Speaker 4>voices to help us put together in itinerary for a

1:20:45.000 --> 1:20:48.360
<v Speaker 4>potential scape from the grind. Listen up. Everybody joining us

1:20:48.360 --> 1:20:51.360
<v Speaker 4>now are Bloomberg Pursuits Editor Chris Rouser and Travel editor

1:20:51.439 --> 1:20:53.760
<v Speaker 4>Nikki Eckstein. They're here to tell us where to go,

1:20:53.800 --> 1:20:56.200
<v Speaker 4>what to do, and even what type of luggage to use.

1:20:56.600 --> 1:20:58.360
<v Speaker 4>And they're giving some love to my home state of

1:20:58.360 --> 1:21:02.760
<v Speaker 4>New Jersey. Everyone seems to be wanting to travel right now.

1:21:02.800 --> 1:21:05.200
<v Speaker 4>I feel like, so, how did you guys think about

1:21:05.240 --> 1:21:08.719
<v Speaker 4>putting together summer travel and what you wanted to cover.

1:21:08.720 --> 1:21:11.680
<v Speaker 18>So we covered travel all year round, of course, but

1:21:12.040 --> 1:21:14.240
<v Speaker 18>summer travel last summer and this summer are going to

1:21:14.240 --> 1:21:17.120
<v Speaker 18>be crazy. Everyone wants to travel. We're back to above

1:21:17.200 --> 1:21:20.479
<v Speaker 18>pre pandemic levels. But when we put together this summer

1:21:20.560 --> 1:21:24.320
<v Speaker 18>travel package, we're always thinking, Okay, what's different about summer travel,

1:21:24.400 --> 1:21:26.880
<v Speaker 18>Like because you feel like maybe I get more of

1:21:26.920 --> 1:21:28.760
<v Speaker 18>a break. People really aren't going to bug you while

1:21:28.760 --> 1:21:30.599
<v Speaker 18>you're gone. I can go somewhere really far, I can

1:21:30.640 --> 1:21:33.520
<v Speaker 18>do something really different. And we put together a package

1:21:33.560 --> 1:21:38.400
<v Speaker 18>of unexpected things, places that are changing, and modes of

1:21:38.400 --> 1:21:41.719
<v Speaker 18>travel that you may not have thought about. Like our opener,

1:21:41.760 --> 1:21:46.920
<v Speaker 18>which is about walking trips. It's not hiking trips, it's walking.

1:21:46.840 --> 1:21:48.320
<v Speaker 4>Well, and let's talk about it because I have to

1:21:48.360 --> 1:21:53.320
<v Speaker 4>say and Chris that the Berkshires are so beautiful. I've

1:21:53.360 --> 1:21:55.280
<v Speaker 4>got I used to go up there pretty regularly in

1:21:55.320 --> 1:21:57.240
<v Speaker 4>the fall. It is stunning. So tell us a little

1:21:57.240 --> 1:21:57.960
<v Speaker 4>bit about this story.

1:21:58.160 --> 1:22:01.040
<v Speaker 18>So Matt Cronsberg, who's one of our favorite writers, had

1:22:01.080 --> 1:22:02.800
<v Speaker 18>the idea to do a walking trip story because there

1:22:02.800 --> 1:22:05.320
<v Speaker 18>are these two books that came out about walking trips.

1:22:05.360 --> 1:22:08.400
<v Speaker 18>One's called American Rambles by Neil King Junior and one's

1:22:08.400 --> 1:22:12.240
<v Speaker 18>called Walking with Sam by Andrew McCarthy, the actor and wine.

1:22:12.040 --> 1:22:12.920
<v Speaker 3>What is the actor?

1:22:13.240 --> 1:22:13.479
<v Speaker 10>Yeah?

1:22:13.520 --> 1:22:15.040
<v Speaker 4>Sure, okay, And.

1:22:15.040 --> 1:22:17.640
<v Speaker 18>Matt called up Andrew McCarthy actually and said, what do

1:22:17.640 --> 1:22:20.040
<v Speaker 18>you have any advice? And Andrew McCarthy's advice was just go,

1:22:20.320 --> 1:22:22.120
<v Speaker 18>just go, just go. Don't think about it, just go,

1:22:22.439 --> 1:22:24.320
<v Speaker 18>he said, must have said it ten times in four minutes.

1:22:24.680 --> 1:22:26.160
<v Speaker 18>And so Matt called us and said, okay, I'm going

1:22:26.240 --> 1:22:28.479
<v Speaker 18>to go and we and NICKI can tell you, like

1:22:28.479 --> 1:22:30.360
<v Speaker 18>how we kind of figured landed on the Berkshears.

1:22:30.479 --> 1:22:32.479
<v Speaker 4>All right, so NICKI, come on in. How did he

1:22:32.560 --> 1:22:33.440
<v Speaker 4>land on the Berkshires?

1:22:33.800 --> 1:22:35.280
<v Speaker 5>Yeah? So Matt was like, I want to do a

1:22:35.320 --> 1:22:38.040
<v Speaker 5>walking trip. I'm inspired. I've read these books. I'm drinking

1:22:38.040 --> 1:22:40.000
<v Speaker 5>the kool aid. And I was like, right, Matt, where

1:22:40.000 --> 1:22:41.559
<v Speaker 5>are you going to go? And he said, well, maybe

1:22:41.560 --> 1:22:43.519
<v Speaker 5>I could do something in your Washington d C. Maybe

1:22:43.560 --> 1:22:45.479
<v Speaker 5>I can do something in California. Maybe I could do something.

1:22:45.479 --> 1:22:48.519
<v Speaker 5>And you know, the whole board was wide open to him,

1:22:48.760 --> 1:22:50.639
<v Speaker 5>and I said, okay, let's figure out what the route

1:22:50.680 --> 1:22:53.479
<v Speaker 5>would be. And let me tell you, walking is not

1:22:53.760 --> 1:22:58.600
<v Speaker 5>something that is infrastructurally set up in this country for

1:22:58.720 --> 1:23:00.840
<v Speaker 5>these long distance routes the way that it might be

1:23:00.920 --> 1:23:04.240
<v Speaker 5>in Europe with like the Comino de Santiago or the

1:23:04.280 --> 1:23:07.519
<v Speaker 5>Transcaucasian Trail. These are all kind of large walking routes

1:23:07.520 --> 1:23:09.960
<v Speaker 5>that are deliberately set up that way, the Great Walks

1:23:09.960 --> 1:23:12.599
<v Speaker 5>of Australia, not so much in the US, where towns

1:23:12.640 --> 1:23:16.880
<v Speaker 5>aren't clustered together in walking distance often. We stumbled upon

1:23:16.920 --> 1:23:20.439
<v Speaker 5>this woman who created a company called Berkshire Camino, inspired

1:23:20.479 --> 1:23:22.960
<v Speaker 5>by the Comuno to Santiago in Spain, and she helped

1:23:23.000 --> 1:23:26.559
<v Speaker 5>him create an itinerary of about fifty miles over four

1:23:26.640 --> 1:23:28.920
<v Speaker 5>days throughout the Berkshires, and we said, oh my god,

1:23:29.320 --> 1:23:31.880
<v Speaker 5>this is perfect and the Berkshires are beautiful, and where

1:23:31.880 --> 1:23:33.400
<v Speaker 5>else do you want to be in the summer other

1:23:33.439 --> 1:23:37.840
<v Speaker 5>than lush mountains with beautiful artsy towns with great ice

1:23:37.880 --> 1:23:41.360
<v Speaker 5>cream shops. It's just the perfect all American summer destination.

1:23:41.520 --> 1:23:43.960
<v Speaker 4>Everybody's ears perk up, ice cream, wait ice creams down

1:23:44.000 --> 1:23:46.599
<v Speaker 4>the tour. But it is it is like, I feel

1:23:46.600 --> 1:23:48.519
<v Speaker 4>like one of those areas in the country. Especially it's

1:23:48.520 --> 1:23:50.120
<v Speaker 4>not that far from New York City and you can

1:23:50.200 --> 1:23:52.280
<v Speaker 4>kind of breathe once you get there. Talked to us

1:23:52.280 --> 1:23:57.759
<v Speaker 4>about some of the places that Matt and his wife visited, well, can.

1:23:57.600 --> 1:23:59.160
<v Speaker 5>I tell you one place that they didn't visit. They

1:23:59.160 --> 1:24:01.439
<v Speaker 5>didn't live in an air which to me is like

1:24:01.960 --> 1:24:05.040
<v Speaker 5>thinking about just thinking about Memorial Day coming up, and

1:24:05.080 --> 1:24:07.160
<v Speaker 5>there's like the staff that is lodged in my brain

1:24:07.240 --> 1:24:09.080
<v Speaker 5>right now that seventeen million people are going to be

1:24:09.120 --> 1:24:12.280
<v Speaker 5>in US airports this weekend. But he did not go

1:24:12.479 --> 1:24:15.280
<v Speaker 5>through an airport. The places that he walked through were

1:24:15.280 --> 1:24:20.640
<v Speaker 5>these beautiful country roads and he walked into this like

1:24:20.720 --> 1:24:23.840
<v Speaker 5>little itty bitty town called Lee, where he found a

1:24:23.880 --> 1:24:28.120
<v Speaker 5>diner that inspired a Norman Rockwell painting. And he walked

1:24:28.160 --> 1:24:32.280
<v Speaker 5>to a dairy where the cows are free range and

1:24:32.320 --> 1:24:34.880
<v Speaker 5>then are milked right on site, and that milk has

1:24:34.880 --> 1:24:37.320
<v Speaker 5>turned into sweet cream ice cream. And you know, it

1:24:37.439 --> 1:24:43.920
<v Speaker 5>was just bucolic small town destinations away from crowds, surrounded

1:24:43.960 --> 1:24:49.040
<v Speaker 5>by nature, and he stayed. Are really cute, artsy upscale

1:24:49.200 --> 1:24:53.920
<v Speaker 5>lodges like Little Cat Lodge, for instance, is a relatively

1:24:54.000 --> 1:24:57.360
<v Speaker 5>new opening that we're all pretty excited about. It's owned

1:24:57.400 --> 1:25:00.120
<v Speaker 5>by the same guy that owns Milands, the really cool

1:25:00.160 --> 1:25:02.760
<v Speaker 5>Montreal bagel shop here in New York City. He's got

1:25:02.800 --> 1:25:04.639
<v Speaker 5>at posts in Brooklyn, and in midtown, and he opened

1:25:04.640 --> 1:25:07.599
<v Speaker 5>this little lodge and so he stayed in cool places

1:25:07.680 --> 1:25:10.120
<v Speaker 5>like that. So that's really the difference between walking and

1:25:10.200 --> 1:25:12.920
<v Speaker 5>hiking is you don't have to camp out, you don't

1:25:12.960 --> 1:25:16.160
<v Speaker 5>sleep in a tent. It's not really about technical gear

1:25:16.320 --> 1:25:19.800
<v Speaker 5>and uphill. It's like you calic walking staying a lovely

1:25:19.800 --> 1:25:20.360
<v Speaker 5>little lodges.

1:25:20.520 --> 1:25:23.120
<v Speaker 4>It's so beautiful and I highly recommend everybody check it

1:25:23.160 --> 1:25:25.760
<v Speaker 4>out the pictures and there's so much detail. I also

1:25:25.800 --> 1:25:27.439
<v Speaker 4>love that there was one point after a full day

1:25:27.479 --> 1:25:29.479
<v Speaker 4>of walking and they're like trying to figure out dinner,

1:25:29.520 --> 1:25:31.120
<v Speaker 4>and he's like, let's walk a little bit more, let's.

1:25:30.960 --> 1:25:31.599
<v Speaker 14>Go find dinner.

1:25:32.040 --> 1:25:33.320
<v Speaker 18>Three miles to dinner.

1:25:33.120 --> 1:25:35.200
<v Speaker 4>Right Like, it was kind of well, all right, let's

1:25:35.240 --> 1:25:40.240
<v Speaker 4>move along to Majorca. Am I saying it correctly. Yeah, okay,

1:25:40.240 --> 1:25:44.360
<v Speaker 4>that's cool. Tell me what's going on there, Nikki when

1:25:44.360 --> 1:25:46.559
<v Speaker 4>it comes to because it feels like it was an

1:25:46.600 --> 1:25:48.439
<v Speaker 4>area where people would go to party big time, but

1:25:48.479 --> 1:25:50.679
<v Speaker 4>it's kind of going through a little bit of a change.

1:25:51.320 --> 1:25:53.400
<v Speaker 5>So have you been to Myerica, Carl, I have not

1:25:53.439 --> 1:25:55.160
<v Speaker 5>been to Majorca. You have not, Okay, put it on

1:25:55.200 --> 1:25:57.280
<v Speaker 5>your list. Okay, is one of the most beautiful places

1:25:57.320 --> 1:26:00.200
<v Speaker 5>I've ever been. And it's true the majority of people

1:26:00.240 --> 1:26:03.080
<v Speaker 5>who've gone to Myorca in the past, like totally dominating

1:26:03.080 --> 1:26:08.200
<v Speaker 5>their tourism scene are Europeans, Brits, Germans, people who are

1:26:08.240 --> 1:26:12.240
<v Speaker 5>relatively short range distances away. Mayorka is an island right

1:26:12.240 --> 1:26:14.920
<v Speaker 5>off the coast of spin one of the Ballyarics, and

1:26:15.280 --> 1:26:21.160
<v Speaker 5>it is defined by beautiful cove like beaches and these

1:26:21.240 --> 1:26:26.360
<v Speaker 5>dramatic Tramontana mountains, and most people stay on the fringes

1:26:26.360 --> 1:26:29.800
<v Speaker 5>of the island, relatively near the capital of Palma. It's

1:26:29.840 --> 1:26:32.280
<v Speaker 5>where you might get cruise ships stocking, It's where you

1:26:32.280 --> 1:26:35.040
<v Speaker 5>get a lot of all inclusive resorts. The smart way

1:26:35.040 --> 1:26:37.400
<v Speaker 5>to do my Erica, in my opinion, is to bypass

1:26:37.439 --> 1:26:39.360
<v Speaker 5>all of that and go to the resorts that are

1:26:39.400 --> 1:26:42.400
<v Speaker 5>in the mountain towns. But there's only been a few

1:26:42.600 --> 1:26:46.360
<v Speaker 5>in the past. Very high end, very lovely, harder to find.

1:26:46.760 --> 1:26:49.160
<v Speaker 5>It's not the easiest and most intuitive trip to plan.

1:26:49.840 --> 1:26:52.639
<v Speaker 5>That's changing as the island and its tourism boards start

1:26:52.720 --> 1:26:57.200
<v Speaker 5>to actually enact restrictions that limit the activity of crews

1:26:57.200 --> 1:27:01.560
<v Speaker 5>and all inclusive business and reallyocus on highlighting the cultural

1:27:01.960 --> 1:27:05.000
<v Speaker 5>and culinary offerings. Of the island that are often scattered

1:27:05.000 --> 1:27:08.240
<v Speaker 5>in these beautiful mountain towns. That's kind of what's happening.

1:27:08.360 --> 1:27:10.519
<v Speaker 4>It looks stunning. I do like the idea too, that

1:27:10.560 --> 1:27:12.960
<v Speaker 4>the government, as you said, like limiting the number of

1:27:12.960 --> 1:27:17.560
<v Speaker 4>cruise ships, limiting the number of drinks that folks can have,

1:27:17.640 --> 1:27:19.640
<v Speaker 4>just to kind of give it a certain feel. I

1:27:19.680 --> 1:27:21.200
<v Speaker 4>want to spend more. I'd love to spend more time

1:27:21.240 --> 1:27:23.439
<v Speaker 4>on it, but I got to go to because you

1:27:23.479 --> 1:27:26.320
<v Speaker 4>guys wrap up with glamour on the Jersey Shore, which

1:27:26.400 --> 1:27:28.080
<v Speaker 4>kind of breaks my heart a little bit, but because

1:27:28.120 --> 1:27:31.800
<v Speaker 4>I am a Jersey girl. But it is amazing what

1:27:32.040 --> 1:27:34.519
<v Speaker 4>is going on along because like Chris, you go to

1:27:34.560 --> 1:27:35.240
<v Speaker 4>the Jersey Shore.

1:27:35.479 --> 1:27:37.840
<v Speaker 18>Yes, my in laws are on the Jersey Shore and

1:27:37.920 --> 1:27:40.320
<v Speaker 18>Nikki lives in New Jersey. So we are we were,

1:27:40.560 --> 1:27:42.800
<v Speaker 18>We are already fans. But there is a ton of

1:27:42.880 --> 1:27:45.280
<v Speaker 18>development happening all up and down the shore, hundreds of

1:27:45.280 --> 1:27:47.920
<v Speaker 18>millions of dollars a lot in Atlantic City. You're going

1:27:48.000 --> 1:27:49.519
<v Speaker 18>to see Atlantic City coming back?

1:27:50.160 --> 1:27:51.840
<v Speaker 4>Are they really coming back? Because I can't tell you

1:27:51.840 --> 1:27:53.439
<v Speaker 4>how many times we've done this story. I've gone down

1:27:53.439 --> 1:27:56.800
<v Speaker 4>and done remoats there and you know, new hotels and casinos,

1:27:56.840 --> 1:27:59.720
<v Speaker 4>and you know, and then we're people tried, Yeah is

1:27:59.760 --> 1:28:01.000
<v Speaker 4>it this time around?

1:28:01.240 --> 1:28:04.479
<v Speaker 5>This feels different because it's not just one project at

1:28:04.479 --> 1:28:07.920
<v Speaker 5>a time. It's a real amalgamation of developments. I mean

1:28:08.320 --> 1:28:11.080
<v Speaker 5>more than a billion dollars have been pumped into Atlantic

1:28:11.080 --> 1:28:13.679
<v Speaker 5>City in the last year. A billion, I mean more

1:28:13.680 --> 1:28:16.960
<v Speaker 5>than a billion. It's eye popping. And it's a team

1:28:17.040 --> 1:28:19.320
<v Speaker 5>effort really in Atlantic City between a lot of major

1:28:19.360 --> 1:28:21.920
<v Speaker 5>players and also a lot of independence. And granted we

1:28:21.960 --> 1:28:25.400
<v Speaker 5>didn't have time to go through every single development in

1:28:25.400 --> 1:28:28.720
<v Speaker 5>this story, because it is the amount of news is tremendous.

1:28:29.240 --> 1:28:33.760
<v Speaker 5>But there are you know, small local residents doing really enterprising,

1:28:34.040 --> 1:28:36.200
<v Speaker 5>small business these type things. And then there are the

1:28:36.560 --> 1:28:39.519
<v Speaker 5>big wig casinos, the MGMs, the hard Rocks, the Caesars

1:28:39.560 --> 1:28:42.799
<v Speaker 5>of the world, pumping in mega, mega, mega money to

1:28:42.960 --> 1:28:46.640
<v Speaker 5>restore entire tracts of Atlantic City at a time. So

1:28:46.720 --> 1:28:51.439
<v Speaker 5>I think you will see a rising sophistication there that

1:28:51.520 --> 1:28:53.160
<v Speaker 5>hasn't been seen in decades.

1:28:53.320 --> 1:28:55.679
<v Speaker 18>And there's also you know, just to cover the rest

1:28:55.680 --> 1:28:57.240
<v Speaker 18>of the sort all the way down in Cape May,

1:28:57.280 --> 1:29:00.360
<v Speaker 18>they're doing a lot of development on the ferry terminal there.

1:29:00.360 --> 1:29:03.080
<v Speaker 18>There's gonna probably be a big new resort being built

1:29:03.080 --> 1:29:05.120
<v Speaker 18>in the next couple of years. Then further up in

1:29:05.160 --> 1:29:08.000
<v Speaker 18>Bradley Beach, really cute hotel. Asbury Park has tons of

1:29:08.040 --> 1:29:12.680
<v Speaker 18>great restaurants. I was just there, really cool hotels and

1:29:12.840 --> 1:29:15.440
<v Speaker 18>there's just a lot. There's a lot of like Sheik stuff.

1:29:15.200 --> 1:29:17.040
<v Speaker 4>Happening well, and I think what's interesting, And I think

1:29:17.080 --> 1:29:20.040
<v Speaker 4>what's interesting is it's not just about gambling or casinos anymore,

1:29:20.040 --> 1:29:22.880
<v Speaker 4>and that's maybe the difference. Final thought, Go ahead, Nikki.

1:29:23.160 --> 1:29:25.320
<v Speaker 5>Yeah. Well, the funny thing that I kept hearing while

1:29:25.320 --> 1:29:28.200
<v Speaker 5>I was there reporting the story was we're getting people

1:29:28.200 --> 1:29:30.439
<v Speaker 5>from the Hampton. People are tired of the traffic for

1:29:30.479 --> 1:29:33.280
<v Speaker 5>the Hampton. They want an easier place to go, they

1:29:33.280 --> 1:29:34.719
<v Speaker 5>want a little bit more flesh.

1:29:35.040 --> 1:29:35.680
<v Speaker 4>I love it.

1:29:36.320 --> 1:29:36.680
<v Speaker 10>I love it.

1:29:37.040 --> 1:29:40.280
<v Speaker 5>People are slapping for the Jersey Harmon briving the Hamptons,

1:29:40.280 --> 1:29:41.040
<v Speaker 5>for the Jersey Shore.

1:29:41.280 --> 1:29:43.200
<v Speaker 4>It could happen. It could happen. And there's also a

1:29:43.200 --> 1:29:46.000
<v Speaker 4>great piece on different types of luggage if you're planning

1:29:46.080 --> 1:29:49.320
<v Speaker 4>holiday or business travel. Some different choices for everybody, So

1:29:49.479 --> 1:29:52.160
<v Speaker 4>I highly recommend everybody check it out. All right, thank you, guys.

1:29:52.160 --> 1:29:55.360
<v Speaker 4>Bloomberg Pursuits editor Chris Rouser and Travel editor Nikki x

1:29:55.360 --> 1:29:57.559
<v Speaker 4>Stein with our guide to summer travel. If you're listening

1:29:57.600 --> 1:30:00.719
<v Speaker 4>to Bloomberg Business Week, coming up more on summer travel

1:30:00.720 --> 1:30:03.200
<v Speaker 4>and why globe trotters can expect the busiest and most

1:30:03.240 --> 1:30:06.360
<v Speaker 4>expensive season since prior to COVID. That's coming up. This

1:30:06.439 --> 1:30:07.040
<v Speaker 4>is Bloomberg.

1:30:07.560 --> 1:30:11.160
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:30:11.160 --> 1:30:14.040
<v Speaker 1>live weekdays from two to five pm Eastern.

1:30:13.760 --> 1:30:17.080
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

1:30:17.360 --> 1:30:20.360
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1:30:20.960 --> 1:30:23.880
<v Speaker 1>Just say Alexa, play Bloomberg eleven thirty.

1:30:25.520 --> 1:30:27.439
<v Speaker 4>All right, so we've talked a little about retail, which

1:30:27.439 --> 1:30:30.040
<v Speaker 4>gives you a great idea in terms of what's going

1:30:30.080 --> 1:30:34.680
<v Speaker 4>on in the consumer world. Another thing is travel, and

1:30:34.720 --> 1:30:36.439
<v Speaker 4>it also tells us kind of what's going on in

1:30:36.479 --> 1:30:38.519
<v Speaker 4>the economy. So let's get to it with Haley Berg.

1:30:38.880 --> 1:30:41.960
<v Speaker 4>She's lead economist at the mobile travel app Hopper, and

1:30:42.000 --> 1:30:45.040
<v Speaker 4>she joins us on the phone in New York City. Hailey,

1:30:45.160 --> 1:30:48.200
<v Speaker 4>good to have you here. Tell us what you are

1:30:48.240 --> 1:30:50.160
<v Speaker 4>seeing when it comes to the travel industri As we

1:30:50.360 --> 1:30:51.839
<v Speaker 4>head into the summer travel season.

1:30:52.240 --> 1:30:55.080
<v Speaker 5>We're headed into the busiest time of year for travel,

1:30:55.200 --> 1:30:58.799
<v Speaker 5>and really we're expecting this to be the biggest summer

1:30:58.840 --> 1:31:03.920
<v Speaker 5>for travel since pandemic. International travel has completely opened up

1:31:04.000 --> 1:31:08.439
<v Speaker 5>since last year, and domestic travel remains very strong, especially

1:31:08.520 --> 1:31:11.000
<v Speaker 5>as prices are down about twenty percent from this time

1:31:11.080 --> 1:31:13.640
<v Speaker 5>last year. All in, it looks like it's going to

1:31:13.640 --> 1:31:17.040
<v Speaker 5>be a busy summer and an extremely expensive summer for

1:31:17.080 --> 1:31:19.880
<v Speaker 5>those travelers who are headed abroad, but they're not being

1:31:19.880 --> 1:31:20.880
<v Speaker 5>held back by fares.

1:31:21.560 --> 1:31:21.760
<v Speaker 2>Yeah.

1:31:21.760 --> 1:31:24.200
<v Speaker 6>We actually heard from Jen bartashas we were talking to

1:31:24.280 --> 1:31:28.200
<v Speaker 6>our Bloomberg Intelligence retail analyst, and she said, you know,

1:31:28.960 --> 1:31:33.040
<v Speaker 6>middle class to wealthier people are shopping for food at

1:31:33.120 --> 1:31:36.000
<v Speaker 6>cheaper stores so they can still afford to spend money

1:31:36.000 --> 1:31:38.479
<v Speaker 6>on discretionary items. I guess travel is one of those

1:31:39.280 --> 1:31:42.519
<v Speaker 6>You don't see anybody holding back. I mean, is nobody

1:31:42.600 --> 1:31:44.840
<v Speaker 6>balking at the incredibly high prices.

1:31:45.120 --> 1:31:49.160
<v Speaker 5>What we're really seeing, Hopper is travelers are taking that

1:31:49.360 --> 1:31:52.920
<v Speaker 5>same or a slightly larger travel budget and trying to

1:31:52.960 --> 1:31:56.720
<v Speaker 5>stretch it further. So maybe previously they've been taking one

1:31:56.760 --> 1:31:59.600
<v Speaker 5>trip a year, Now they're taking two trips on the

1:31:59.600 --> 1:32:04.400
<v Speaker 5>same budget, So that means they're engaging in deal seeking behavior.

1:32:04.520 --> 1:32:06.879
<v Speaker 5>You know, more than fifty percent of our Hopper customers

1:32:06.920 --> 1:32:09.519
<v Speaker 5>are booking the cheapest flight that's available to them at

1:32:09.520 --> 1:32:13.400
<v Speaker 5>the time they're searching. We're seeing them check prices about

1:32:13.400 --> 1:32:16.720
<v Speaker 5>fifty percent more often, even as they plan trips more

1:32:16.800 --> 1:32:21.439
<v Speaker 5>last minute. So though travelers are still spending and taking

1:32:21.439 --> 1:32:25.599
<v Speaker 5>more trips, they are finding ways to stretch that budget

1:32:25.680 --> 1:32:26.519
<v Speaker 5>quite a bit further.

1:32:27.040 --> 1:32:29.719
<v Speaker 4>So talk to U about some numbers, Bloomberg. We love

1:32:29.800 --> 1:32:32.120
<v Speaker 4>to hear about numbers and percentage changes. So give me

1:32:32.160 --> 1:32:35.280
<v Speaker 4>an idea. If you're heading from New York over to Europe,

1:32:35.320 --> 1:32:37.519
<v Speaker 4>pick your city or whatever. What are we looking for

1:32:37.560 --> 1:32:38.680
<v Speaker 4>in terms of airfares.

1:32:40.280 --> 1:32:43.479
<v Speaker 5>Average airfare from the US to anywhere in Europe about

1:32:43.479 --> 1:32:47.679
<v Speaker 5>twelve hundred dollars right now. There are some destinations direct

1:32:47.720 --> 1:32:50.040
<v Speaker 5>from New York City as low as eight or nine

1:32:50.120 --> 1:32:54.240
<v Speaker 5>hundred dollars round trip. But overall that twelve hundred ticket

1:32:54.280 --> 1:32:57.800
<v Speaker 5>price on average, that's up thirty seven percent from this

1:32:58.000 --> 1:33:01.240
<v Speaker 5>time last year, and in twenty nineteen that's about three

1:33:01.280 --> 1:33:05.080
<v Speaker 5>hundred and twenty dollars more per ticket for travelers who

1:33:05.080 --> 1:33:07.280
<v Speaker 5>are headed to Europe, which is the top destination for

1:33:07.400 --> 1:33:08.080
<v Speaker 5>summer vacation.

1:33:08.439 --> 1:33:11.040
<v Speaker 6>AH, where are they going in Europe? Is it just

1:33:11.400 --> 1:33:14.880
<v Speaker 6>in general the continent, or are people going specifically to

1:33:15.040 --> 1:33:17.400
<v Speaker 6>Spain or Italy or Greece Paris.

1:33:18.280 --> 1:33:22.679
<v Speaker 5>We typically see London, Paris and Rome are the top three,

1:33:22.760 --> 1:33:27.320
<v Speaker 5>the ultimate trifecta. They're definite destinations for tourists who are

1:33:27.360 --> 1:33:29.960
<v Speaker 5>just dipping their toe in Europe. But we do also

1:33:30.040 --> 1:33:33.240
<v Speaker 5>see demand some of these smaller cities, especially in Italy.

1:33:33.960 --> 1:33:37.440
<v Speaker 5>Sicily is popular coming off the success of the White Lotus,

1:33:37.800 --> 1:33:40.880
<v Speaker 5>but we've also seen Venice and Milan are.

1:33:40.800 --> 1:33:43.400
<v Speaker 4>Saying, right, White Lotus, it's really a thing in terms

1:33:43.439 --> 1:33:44.360
<v Speaker 4>of travel.

1:33:44.960 --> 1:33:45.800
<v Speaker 16>It absolutely is.

1:33:45.880 --> 1:33:49.160
<v Speaker 5>We call it set jetting. It happened with Croatia and

1:33:49.240 --> 1:33:52.040
<v Speaker 5>Iceland win Game of Thrones was released. It's happening with

1:33:52.280 --> 1:33:53.480
<v Speaker 5>Yellow show.

1:33:53.080 --> 1:33:55.400
<v Speaker 4>In White Lotus. I'm just saying it was a little eerie.

1:33:55.680 --> 1:33:58.840
<v Speaker 6>It's great though I love both seasons. I will say

1:33:59.000 --> 1:34:01.400
<v Speaker 6>pro tip to those looking to travel to Europe over

1:34:01.400 --> 1:34:06.880
<v Speaker 6>the summer. It is extremely hot in southern Europe. If

1:34:06.880 --> 1:34:09.200
<v Speaker 6>you want to go to Sicily in August, I don't

1:34:09.240 --> 1:34:10.760
<v Speaker 6>want to be with you because you are going to

1:34:10.800 --> 1:34:14.240
<v Speaker 6>be pouring with sweat. I would much rather be in

1:34:14.360 --> 1:34:20.800
<v Speaker 6>Scandinavia in August because so hot. The Spaniards don't even

1:34:20.840 --> 1:34:24.160
<v Speaker 6>go outside. They just they just sit inside and sleep

1:34:24.160 --> 1:34:26.040
<v Speaker 6>all day and then at night they go in the pool.

1:34:26.520 --> 1:34:30.080
<v Speaker 5>That's why September and October actually the best bet for

1:34:30.200 --> 1:34:33.240
<v Speaker 5>travel to Europe. You'll pay as much as thirty percent

1:34:33.320 --> 1:34:35.200
<v Speaker 5>less than you will to go in June or July.

1:34:35.800 --> 1:34:39.400
<v Speaker 5>Temperatures will be better. And keep in mind Americans are

1:34:39.439 --> 1:34:43.360
<v Speaker 5>on vacation all summer. Europeans often go on multi week

1:34:43.479 --> 1:34:46.800
<v Speaker 5>vacations in August, so if you're going in August, you're

1:34:46.840 --> 1:34:50.040
<v Speaker 5>going to be facing crowds of tourists from around the world.

1:34:50.400 --> 1:34:53.560
<v Speaker 5>September is going to be lighter crowds, less expensive for

1:34:53.600 --> 1:34:54.799
<v Speaker 5>accommodations and airfare.

1:34:55.200 --> 1:34:57.519
<v Speaker 4>So what's your advice for folks who want to travel?

1:34:57.920 --> 1:35:01.920
<v Speaker 5>Plan ahead if possible, So right now you're booking way

1:35:01.960 --> 1:35:04.719
<v Speaker 5>too late. If you want to go somewhere internationally this summer,

1:35:04.760 --> 1:35:07.080
<v Speaker 5>you are going to pay quite a bit more and

1:35:07.160 --> 1:35:10.040
<v Speaker 5>be flexible. So if you can plan ahead to go

1:35:10.160 --> 1:35:14.280
<v Speaker 5>this fall, get lower prices, fly midweek if possible, you'll

1:35:14.320 --> 1:35:17.000
<v Speaker 5>save about fifty to one hundred dollars on domestic airfare

1:35:17.600 --> 1:35:21.519
<v Speaker 5>one fifty to two hundred on international and flight early

1:35:21.600 --> 1:35:25.160
<v Speaker 5>in the day, delays, cancelations, twice as likely to hit

1:35:25.200 --> 1:35:28.000
<v Speaker 5>you if you depart after eight am, So there is

1:35:28.479 --> 1:35:30.800
<v Speaker 5>something to taking that first flight out of the day

1:35:30.840 --> 1:35:33.280
<v Speaker 5>on a Monday or Tuesday will save you some stress,

1:35:33.320 --> 1:35:35.320
<v Speaker 5>it will save you some money as well.

1:35:35.320 --> 1:35:39.559
<v Speaker 6>What about airbnbs, what's your verdict on You know, we

1:35:39.600 --> 1:35:41.920
<v Speaker 6>went to Austin for the Moto GP a couple weeks ago,

1:35:42.000 --> 1:35:45.120
<v Speaker 6>and hotels were like a grand We found an airbnb

1:35:45.439 --> 1:35:48.360
<v Speaker 6>that was less than half the price and it was

1:35:48.400 --> 1:35:50.599
<v Speaker 6>pretty good. I mean, they no one comes to change

1:35:50.600 --> 1:35:53.559
<v Speaker 6>your sheets every day, but it was nice and you know,

1:35:53.600 --> 1:35:56.720
<v Speaker 6>with the extra money we were able to go to

1:35:56.800 --> 1:35:58.320
<v Speaker 6>more expensive restaurants for dinner.

1:35:58.680 --> 1:36:04.360
<v Speaker 5>We can send you red homes extremely popular, especially around

1:36:04.640 --> 1:36:09.400
<v Speaker 5>destinations at the beach or Disney. Disney's hugely popular for

1:36:09.560 --> 1:36:12.760
<v Speaker 5>vacation homes. Often larger groups of family members are there

1:36:13.400 --> 1:36:16.000
<v Speaker 5>and it really helps bring down the cost of maybe

1:36:16.040 --> 1:36:19.760
<v Speaker 5>getting multiple hotel rooms. But keep in mind that those

1:36:19.800 --> 1:36:23.000
<v Speaker 5>rental homes can book out really far in advance, especially

1:36:23.000 --> 1:36:26.439
<v Speaker 5>in popular destinations, and hotel rooms on the other hand,

1:36:26.800 --> 1:36:29.759
<v Speaker 5>drop in price when you book at the last minute,

1:36:29.800 --> 1:36:33.559
<v Speaker 5>so way your options. If you're looking for more space,

1:36:33.640 --> 1:36:37.240
<v Speaker 5>rental homes can definitely be more economical, but at times,

1:36:37.280 --> 1:36:39.280
<v Speaker 5>if you're booking last minute hotels, you can get a

1:36:39.280 --> 1:36:41.040
<v Speaker 5>fabulous deal, especially in big cities.

1:36:41.280 --> 1:36:43.320
<v Speaker 4>All Right, we're gonna leave it there. We're'll let you

1:36:43.320 --> 1:36:46.400
<v Speaker 4>go get some water because I'm a little worried about you. Hailey,

1:36:46.479 --> 1:36:49.120
<v Speaker 4>come on back soon. We'd love to continue with you

1:36:49.520 --> 1:36:52.000
<v Speaker 4>at a future date. Haley Burg Lead economist Different Hopper

1:36:52.280 --> 1:36:53.920
<v Speaker 4>joining us on the phone in New York City.

1:36:54.520 --> 1:37:00.000
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