WEBVTT - Bloomberg Businessweek Weekend - December 8th, 2023

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<v Speaker 1>This is Bloomberg business Week Inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebek from Bloomberg Radio.

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<v Speaker 2>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 2>This past week we got a pulse check on the

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<v Speaker 2>US labor force with the release of the November jobs report.

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<v Speaker 2>Ahead on the program, we'll hear from the CEO of

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<v Speaker 2>International Workplace Group better known as IWG, about why big

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<v Speaker 2>markets like New York have little hope of ever getting

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<v Speaker 2>most people back into the office five days a week.

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<v Speaker 2>We're also talking tech, and plenty of it, including how

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<v Speaker 2>Israel's war with moss is affecting the country's most important

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<v Speaker 2>business sector, ways co founder Ory Levine ways En, plus

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<v Speaker 2>the next generation of artificial intelligence is already here. Find

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<v Speaker 2>out what the newest tools can do from the CEO

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<v Speaker 2>of publicly traded Big Bear AI and where the biggest

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<v Speaker 2>threats in them could lie From the President of IDC

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<v Speaker 2>Crawford del Pratt. All of that to come. We begin

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<v Speaker 2>with a frontier that is still largely out of reach

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<v Speaker 2>for most space, the magazine devoting this week's business section

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<v Speaker 2>to it, including a story on developing drugs in micro gravity.

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<v Speaker 2>Here to explain the space race happening inside the pharmaceutical industry,

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<v Speaker 2>our Bloomberg News healthcare reporter Bob Langres and BusinessWeek editor

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<v Speaker 2>Joel Weber.

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<v Speaker 3>So, we're decided to do a little space package.

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<v Speaker 4>There's a lot happening up there, it turns out, and

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<v Speaker 4>there are some expected things like what SpaceX is up

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<v Speaker 4>to you and the race to catch them, but there's

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<v Speaker 4>also I thought, some more interesting things of like applications

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<v Speaker 4>that you probably never heard of. And it turns out

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<v Speaker 4>that you know, you mentioned micro gravity there there are

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<v Speaker 4>some novel use cases for what can be accomplished in space.

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<v Speaker 4>So Bob walk us through it is what can we

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<v Speaker 4>do in space that we can't do as well here

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<v Speaker 4>on Earth.

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<v Speaker 5>Yeah, So it turns out, you know, a lot of

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<v Speaker 5>the drugs that drug makers are making these days are proteins,

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<v Speaker 5>things like monocle and antibiodies or cancer drugs, and these

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<v Speaker 5>are that are that are infused and these are you know, complicated,

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<v Speaker 5>finicky molecules, the notoriously difficult to produce on Earth in

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<v Speaker 5>their crystal form. So it turns out that without gravity,

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<v Speaker 5>or without much gravity, you know, it becomes much it's

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<v Speaker 5>much easier to form like a large, large and very

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<v Speaker 5>uniform crystals, and that, as it turns out, and enhance

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<v Speaker 5>formulations and even potentially some existing drugs. So drug maker

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<v Speaker 5>merk it's working. It's worked on a new formulation of

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<v Speaker 5>it's just blockbuster cancer drug k Tuda. Now that's the

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<v Speaker 5>cancer drug that Jimmy Carter got. It's sort of melanoma

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<v Speaker 5>and all sorts of other ones. But right now it

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<v Speaker 5>must be infused like you have to go to the

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<v Speaker 5>doctor's office and infused over a couple hours. And the

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<v Speaker 5>dry it would really like to put that in injectable forms.

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<v Speaker 5>You could do just a self administered injection potentially even

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<v Speaker 5>at home. But to do that, it needs to be

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<v Speaker 5>able to concentrate that con true to much more to

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<v Speaker 5>be concentrated now and if you did it with the

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<v Speaker 5>current formulation, to be get like molasses. So it turns

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<v Speaker 5>out they did some in space and the International Space

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<v Speaker 5>Station and they came up with a way to concentrate

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<v Speaker 5>it much more and keep it fast flowing. And the

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<v Speaker 5>concept for was first device in space and the fact

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<v Speaker 5>that they might go into clinical trials is something that

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<v Speaker 5>was the first you know devised in space that's excited

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<v Speaker 5>a lot of gotten a lot of interest in you

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<v Speaker 5>know space spaceed drug development and other companies like Eli

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<v Speaker 5>Lillie is up there with some experiments now, and you

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<v Speaker 5>even now have startups that once the International Space Station

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<v Speaker 5>is decommissioned, you know, sometime after twenty thirty that are

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<v Speaker 5>working on developing you know, automated kind of drug formulation

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<v Speaker 5>laboratories in space. It's sense on experiment up and then

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<v Speaker 5>it come back down and drug companies could work on it.

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<v Speaker 3>Okay, so when does this happen? Why don't we have

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<v Speaker 3>this already?

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<v Speaker 4>Bob?

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<v Speaker 5>Well, you know, these are all kind of like, you know,

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<v Speaker 5>I'd like to say, these are all kind of like

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<v Speaker 5>early experiments. So say they're drug companies and setting up

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<v Speaker 5>experiments by the way out into space for really for decades,

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<v Speaker 5>and they're their first experiments were kind of like early

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<v Speaker 5>stage aimed at like early stage drug crystallization works to

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<v Speaker 5>crystallize GOT disease more promoting proteins so they could design

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<v Speaker 5>better drugs. And in fact, a unit of a suka Holdings.

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<v Speaker 5>That's the Japanese company. They have a drug in final

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<v Speaker 5>stage trials in Japan for muscular dystrophe. There was was

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<v Speaker 5>base and some very early work, you know, done early

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<v Speaker 5>in the early days of International Space Study space station

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<v Speaker 5>crystallizing a muscular dystrophy associated protein. But what's happening now

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<v Speaker 5>is there actually Americans and others are showing you could

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<v Speaker 5>actually devise you know, better formulations of existing blockbuster drugs,

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<v Speaker 5>and that's really driven the attention to like maybe space

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<v Speaker 5>is like you know, could really like help us get

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<v Speaker 5>some new patents and make a lot of money. So

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<v Speaker 5>that's really driven interest.

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<v Speaker 4>So whose job is it to figure out how to

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<v Speaker 4>do this in space? Like, you know, Tim, Tim, if

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<v Speaker 4>you're going to make you know, car breaks in space,

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<v Speaker 4>I'm sure you can figure that out.

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<v Speaker 2>But Bob, you don't want to see how far I

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<v Speaker 2>made it from the math in college.

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<v Speaker 4>But within the pharmat, like, whose job is it to

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<v Speaker 4>figure out space manufacturing?

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<v Speaker 5>Yeah, So at the big you know, drug makers, there's

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<v Speaker 5>relatively you know, small numbers of people like working on it,

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<v Speaker 5>so it's still a niche field. I'd say, you know,

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<v Speaker 5>if you go to a big drug maker, I would image.

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<v Speaker 5>There's probably a lot more people work around AI either space,

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<v Speaker 5>but you know, you know, space is like you know,

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<v Speaker 5>garnering interest. Some of the people I talk to, their

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<v Speaker 5>titles are like, you know, director of Formulations, development titles

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<v Speaker 5>like that. But these experiments are are hard. You know,

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<v Speaker 5>you you send something up to the space station and

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<v Speaker 5>you know you get it back down a few months later,

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<v Speaker 5>and if you like screwed up in the design and

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<v Speaker 5>the experiment, you know your next shot and the next

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<v Speaker 5>experiment maybe you know six months later. So you gotta

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<v Speaker 5>got you gotta do it. Be very careful with experimental design.

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<v Speaker 5>You can't, like it's hard to call an astro and say, hey,

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<v Speaker 5>I want to change everything midstream once is up there.

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<v Speaker 5>So there's even a whole set of like companies that

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<v Speaker 5>help drug makers like have like self enclosed experiments that

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<v Speaker 5>can send up that are like all ready to go.

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<v Speaker 5>The astronart press is a couple button to turn it

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<v Speaker 5>on and then press the couple buttons to turn it off.

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<v Speaker 5>You know, you can't it's hard to adjust the audition mystery,

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<v Speaker 5>and once you're up in space.

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<v Speaker 2>The button pressing job it doesn't sound that So Bob,

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<v Speaker 2>I want to get to this idea of scaling and

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<v Speaker 2>make sure I understand what's actually happening in space. I

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<v Speaker 2>want to go back to the company that you used

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<v Speaker 2>in the lead here, LAMB Division, who's working on the

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<v Speaker 2>world's first protein based artificial retina for patients with retinitis pigmentosa. So,

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<v Speaker 2>if it's so hard to actually create these two hundred

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<v Speaker 2>paper thin layers of light sensitive protein in on Earth,

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<v Speaker 2>does that mean that they won't be able to scale

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<v Speaker 2>it in an environment that's not zero gravity.

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<v Speaker 1>Yeah.

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<v Speaker 5>So they're one of the few companies that's right now

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<v Speaker 5>is talking about actually, as I understand it, manufacturing and

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<v Speaker 5>finished product, you know, in space. And if you think

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<v Speaker 5>about their product, it's like literally it's a size of

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<v Speaker 5>a whole punch, like a paper whole punch. That's like,

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<v Speaker 5>you know, so you get I guess you get one

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<v Speaker 5>or two of these if you're a patient. So they

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<v Speaker 5>don't need that much finished product. You know, it's a

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<v Speaker 5>relatively small market. I mean, this is not like an

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<v Speaker 5>infused drug where you're going to be giving you know,

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<v Speaker 5>two hundred millimeters every two weeks for the rest of

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<v Speaker 5>your life. That's more like merks k true to the

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<v Speaker 5>they make it, Mark and K true to their cancer drug.

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<v Speaker 5>They make it like by the ton on Earth and

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<v Speaker 5>their experiments in space. So far, I've made like one

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<v Speaker 5>dose at a time, so you can see that it's

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<v Speaker 5>not right now practical. Wouldn't be even if there are

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<v Speaker 5>even though there are technical advantages, it would not be

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<v Speaker 5>practical for them to make the finished product in space.

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<v Speaker 5>But for something like this artificial retina, where the total

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<v Speaker 5>quantities needed are very very small, and I imagine if

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<v Speaker 5>we ever get this to market, it's going to be

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<v Speaker 5>sold for a very high price. You know, you can

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<v Speaker 5>imagine that's an actual like possibility to actually make that

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<v Speaker 5>in space.

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<v Speaker 4>Would you take the one jose that's been made in space,

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<v Speaker 4>knowing that there's massive quantities on Earth, it's practically the

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<v Speaker 4>same thing. It's just been made in space. Like, why

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<v Speaker 4>wouldn't Why wouldn't I do it?

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<v Speaker 2>Why not?

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<v Speaker 4>I don't know?

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<v Speaker 5>Is the true question that rises the whole regulatory question.

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<v Speaker 5>No one's even got to, like, you know, if something

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<v Speaker 5>actually were made in space, or even if like there's

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<v Speaker 5>another idea they're talking about, it's making like a seed

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<v Speaker 5>crystal in space, use the better conditions of space to

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<v Speaker 5>make like little seed crystals that they could then be

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<v Speaker 5>used sort of like a sour to start being brought

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<v Speaker 5>down to Earth and able to grow bigger quantities on Earth.

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<v Speaker 5>But even there, like the FDA, how would the FDA

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<v Speaker 5>regulate that, there's a whole I guess said of unknown

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<v Speaker 5>like questions there.

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<v Speaker 6>Yeah, FDA is not having any problems with oversight. We

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<v Speaker 6>did that story actually earlier today, having said that, how

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<v Speaker 6>easy is is you duplicate the process of space drug

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<v Speaker 6>or manufacturing drugs in space on Earth? Can we create that,

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<v Speaker 6>recreate that?

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<v Speaker 3>Yeah?

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<v Speaker 5>So the way to think of it with some of

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<v Speaker 5>these drug formulations are trying to make better, like easier

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<v Speaker 5>to use injectable drug formulations. And the way to think

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<v Speaker 5>about that is that there's just like you know, there's

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<v Speaker 5>a million conditions you can put in to get something

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<v Speaker 5>to crystallize, the temperature, the pressure, you know, the concentrations,

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<v Speaker 5>many men conditions you can try almost an infinite number,

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<v Speaker 5>and just things form a little without the microgravity because

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<v Speaker 5>crystals are these kind of slow forming, finicky things, and

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<v Speaker 5>without the convection is one of the things that goes

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<v Speaker 5>away the fluid convections. So and that's reduced and that

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<v Speaker 5>gets better, just gets better quality crystals in many cases.

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<v Speaker 5>And so the way to think about it is they

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<v Speaker 5>get an idea in space like in these better conditions,

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<v Speaker 5>and then once they know what they're looking for, they

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<v Speaker 5>then find you find a way to duplicate that back

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<v Speaker 5>at the factory here on Earth. And that's what Merk

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<v Speaker 5>did with this new formulation of k truda that may

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<v Speaker 5>go into clinical trials.

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<v Speaker 4>Okay, So so Merk seems to be all over this.

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<v Speaker 4>What about other drug manufacturers are you know, is there

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<v Speaker 4>really a race like as often is the case in

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<v Speaker 4>space space or is everybody.

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<v Speaker 2>Else space race?

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<v Speaker 5>So Mark has a competitor in cancer drugs, and that's

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<v Speaker 5>Bristol Myers Squid and they make a rival to k

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<v Speaker 5>tree called Abdivo, and they indeed are putting experiments up

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<v Speaker 5>into space. Look you're looking at protein crystallation, you know,

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<v Speaker 5>and you know they they do say it includes cancer,

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<v Speaker 5>but they won't to say which drugs and are involved.

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<v Speaker 5>But all I can say is they do make a

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<v Speaker 5>direct rival to k truda. So, you know, drug companies,

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<v Speaker 5>you know, historically you know, once one company does something,

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<v Speaker 5>you know the others want to try it out.

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<v Speaker 6>The wait, not like a dry diet drug or anything.

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<v Speaker 5>Yeah, well, so far I've not heard of any diet drugs,

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<v Speaker 5>you know that maiden space. But you know, I'll keep reporting.

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<v Speaker 4>We should make journalism in space, just so are volunteering together.

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<v Speaker 4>I mean, you know, Bob Bob was already going to

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<v Speaker 4>go check it out. So most cost effectively, if incorporated card.

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<v Speaker 2>We'll cover that SpaceX trip.

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<v Speaker 6>Okay, Hey, listen, I hate to be a bummer on

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<v Speaker 6>all of this, but isn't the International Space Station at

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<v Speaker 6>risk of being decommissioned after twenty thirty? So, like does

0:10:54.320 --> 0:10:55.640
<v Speaker 6>that put kind of a damper.

0:10:55.360 --> 0:10:55.800
<v Speaker 7>On all on this?

0:10:56.520 --> 0:10:59.680
<v Speaker 5>Well, there's companies, like you know, there's like private startups

0:10:59.720 --> 0:11:02.240
<v Speaker 5>and core working on like what's after the space station.

0:11:02.360 --> 0:11:05.160
<v Speaker 5>There's one small one, you know, startup that actually has

0:11:05.240 --> 0:11:08.080
<v Speaker 5>like a little satellite that's like a little drug production lab.

0:11:08.360 --> 0:11:10.079
<v Speaker 5>They hope it's going to be a little automated drug

0:11:10.360 --> 0:11:13.680
<v Speaker 5>formulation production lab up there. Now for their first mission,

0:11:14.040 --> 0:11:17.520
<v Speaker 5>they've had some problems getting the reentry capsule back down

0:11:17.640 --> 0:11:23.520
<v Speaker 5>because they need FAA Federal Aviation Administration permission. They haven't

0:11:23.520 --> 0:11:25.480
<v Speaker 5>been able to get it yet. So it illustrates some

0:11:25.559 --> 0:11:28.520
<v Speaker 5>of like you know the potential snags involved in space

0:11:28.600 --> 0:11:29.280
<v Speaker 5>based production.

0:11:29.600 --> 0:11:32.959
<v Speaker 4>Yeah, okay, well we know where Big Pharma is, which

0:11:33.040 --> 0:11:36.000
<v Speaker 4>is the final frontier. You know, I'm curious to see

0:11:36.040 --> 0:11:38.800
<v Speaker 4>if if this is for real though. I mean, like, sure,

0:11:38.880 --> 0:11:42.240
<v Speaker 4>you can make a couple of applications, but scale seems

0:11:42.880 --> 0:11:46.559
<v Speaker 4>maybe not easy to get there. Tim's going to try

0:11:46.640 --> 0:11:48.000
<v Speaker 4>break pads and report back.

0:11:48.160 --> 0:11:51.120
<v Speaker 2>But the payoff is potentially huge here. I mean, if

0:11:51.160 --> 0:11:54.280
<v Speaker 2>you can cure blindness with artificial retinas, Like even though

0:11:54.280 --> 0:11:56.800
<v Speaker 2>Bob says it's a relatively small number of people, I mean,

0:11:57.200 --> 0:11:58.719
<v Speaker 2>people would pay so much for that.

0:11:58.920 --> 0:12:00.959
<v Speaker 3>You need is you know, some micro gravity?

0:12:01.640 --> 0:12:01.959
<v Speaker 1>What's that?

0:12:02.559 --> 0:12:03.559
<v Speaker 3>That's why it's there for you.

0:12:04.120 --> 0:12:05.880
<v Speaker 5>I think the key word we use in the headline

0:12:05.920 --> 0:12:08.079
<v Speaker 5>was that the drug companies are exploring this, you know,

0:12:08.320 --> 0:12:10.959
<v Speaker 5>yeah right, not a donk deal. And you know, I

0:12:11.000 --> 0:12:12.920
<v Speaker 5>think the way to think of it, they're doing experiments

0:12:12.960 --> 0:12:15.360
<v Speaker 5>up there that are going to help help them, you know,

0:12:15.480 --> 0:12:18.360
<v Speaker 5>devise new formulations and new versions of their drugs, but

0:12:18.440 --> 0:12:20.719
<v Speaker 5>it doesn't necessarily I mean those they are actually those

0:12:20.840 --> 0:12:22.920
<v Speaker 5>final drugs are actually going to be produced in space.

0:12:23.120 --> 0:12:25.439
<v Speaker 3>I think we call that the to be sure graph

0:12:27.360 --> 0:12:28.439
<v Speaker 3>or the third word in the headline.

0:12:29.160 --> 0:12:30.960
<v Speaker 6>I'm just going to say thank you, Bob, because I've

0:12:31.000 --> 0:12:32.480
<v Speaker 6>been just saying drugs.

0:12:32.160 --> 0:12:35.120
<v Speaker 3>In space It sounds really cool.

0:12:35.800 --> 0:12:38.720
<v Speaker 6>It does sound really cool. I'm very interesting in terms

0:12:38.800 --> 0:12:41.439
<v Speaker 6>of maybe what we could see down the road. Bub landgread.

0:12:41.520 --> 0:12:42.240
<v Speaker 3>Thank you so much.

0:12:42.400 --> 0:12:44.920
<v Speaker 6>Everything you do is just we learned something and it's

0:12:44.960 --> 0:12:47.560
<v Speaker 6>a fun read and interesting read. Healthcare reporter here at

0:12:47.559 --> 0:12:50.400
<v Speaker 6>Bloomberg News on zoom in San Francisco. He is not

0:12:51.480 --> 0:12:52.840
<v Speaker 6>on the International Space DAG.

0:12:52.800 --> 0:12:55.200
<v Speaker 2>As far as we know, despite the fact that there

0:12:55.240 --> 0:12:58.920
<v Speaker 2>were some Internet connectivity issues. But yeah, never know, really

0:12:59.000 --> 0:13:01.480
<v Speaker 2>really interesting stuff. I'll be the guy who presses the

0:13:01.520 --> 0:13:03.120
<v Speaker 2>button stroll that sounds like it.

0:13:03.280 --> 0:13:05.600
<v Speaker 6>We can fight over it maybe, yeah, exactly what has

0:13:06.040 --> 0:13:07.920
<v Speaker 6>Joe Weber, of course, the editor of Bloomberg Business We

0:13:08.080 --> 0:13:10.600
<v Speaker 6>check this out in an upcoming new issue of Bloomberg

0:13:10.600 --> 0:13:12.000
<v Speaker 6>Business Week. It's also online.

0:13:13.679 --> 0:13:17.200
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:13:17.280 --> 0:13:20.640
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

0:13:20.520 --> 0:13:23.960
<v Speaker 8>On Bloomberg dot com, the iHeartRadio app, and the Bloomberg

0:13:24.040 --> 0:13:26.680
<v Speaker 8>Business app, or watch us live on YouTube.

0:13:28.080 --> 0:13:28.240
<v Speaker 9>Well.

0:13:28.400 --> 0:13:30.640
<v Speaker 6>As the COVID pandemic fades into the past, many things

0:13:30.679 --> 0:13:34.520
<v Speaker 6>have returned to normal, the world of work has not. Companies, employees,

0:13:34.559 --> 0:13:37.319
<v Speaker 6>and governments still figuring out how to adapt to lasting

0:13:37.440 --> 0:13:40.319
<v Speaker 6>changes to corporate life sparked by widespread lockdowns. I put

0:13:40.440 --> 0:13:44.240
<v Speaker 6>millions onto a work from home schedule at stakes. At

0:13:44.280 --> 0:13:46.920
<v Speaker 6>stake really worldwide aren't just norms for office life, but

0:13:47.000 --> 0:13:50.120
<v Speaker 6>really the economic health of big cities as well, particularly

0:13:50.160 --> 0:13:51.760
<v Speaker 6>in the United States. We have a great voice to

0:13:51.800 --> 0:13:54.120
<v Speaker 6>talk to us about what's going on in the workplace environment.

0:13:54.240 --> 0:13:55.880
<v Speaker 2>Yeah, let's checked in with him a little over a

0:13:55.960 --> 0:13:57.760
<v Speaker 2>year ago. It feels like so much has happened, and

0:13:57.920 --> 0:14:01.199
<v Speaker 2>since then, so much has been talked about. One company,

0:14:01.440 --> 0:14:03.280
<v Speaker 2>one person who's at a front seat to all of

0:14:03.320 --> 0:14:07.040
<v Speaker 2>this is the London listed office space provider IWG. We've

0:14:07.080 --> 0:14:10.000
<v Speaker 2>got back with us Mark Dixon, founder, executive director, a

0:14:10.120 --> 0:14:13.520
<v Speaker 2>CEO of IWG. That's International Workplace Group. He's with us

0:14:13.520 --> 0:14:15.920
<v Speaker 2>here in our Bloomberg Interactive Brokers studio. Talk to us

0:14:15.920 --> 0:14:17.640
<v Speaker 2>a little bit about the footprint that you have and

0:14:17.920 --> 0:14:18.959
<v Speaker 2>where else you've traveled.

0:14:19.280 --> 0:14:22.040
<v Speaker 7>US is our biggest market's about it's more than half

0:14:22.080 --> 0:14:26.320
<v Speaker 7>of the business and we've been here for more than

0:14:26.400 --> 0:14:30.160
<v Speaker 7>thirty years in the US, but the growth is now

0:14:30.600 --> 0:14:35.040
<v Speaker 7>really quite dramatic in terms of how we're growing the platform,

0:14:35.120 --> 0:14:38.200
<v Speaker 7>how we're growing the number of buildings we have across

0:14:38.240 --> 0:14:41.000
<v Speaker 7>the country. So I've just come from the Midwest from

0:14:41.040 --> 0:14:44.240
<v Speaker 7>Minnesota where I've been doing site visits. But you know,

0:14:44.400 --> 0:14:48.160
<v Speaker 7>we're growing the business about fifty percent growth rates in

0:14:48.280 --> 0:14:50.840
<v Speaker 7>the US and it's got the place with the highest

0:14:50.920 --> 0:14:55.960
<v Speaker 7>take up of hybrid working and so it's very exciting.

0:14:56.120 --> 0:15:02.080
<v Speaker 7>So invested day tomorrow, but very useful to drop in

0:15:02.280 --> 0:15:04.600
<v Speaker 7>and have a look at what we're doing in the market.

0:15:04.800 --> 0:15:08.200
<v Speaker 6>So mark return to office, work from home hybrid, what's

0:15:08.280 --> 0:15:09.520
<v Speaker 6>winning hybrid?

0:15:10.080 --> 0:15:15.640
<v Speaker 7>So you have to imagine a new world driven by technology.

0:15:15.720 --> 0:15:19.280
<v Speaker 7>So everyone, a lot of the narrative sort of thinks

0:15:19.400 --> 0:15:21.120
<v Speaker 7>that things are going to go back to normal and

0:15:21.200 --> 0:15:24.320
<v Speaker 7>everyone's going to come back to Manhattan. That's not going

0:15:24.400 --> 0:15:30.280
<v Speaker 7>to happen. People want can and want to work at

0:15:30.400 --> 0:15:32.960
<v Speaker 7>places near to where they live. They don't want to commute.

0:15:33.440 --> 0:15:35.520
<v Speaker 7>So the elephant in the room is commuting. It's not

0:15:36.360 --> 0:15:38.800
<v Speaker 7>people are working from offices, they just want to do

0:15:38.880 --> 0:15:42.960
<v Speaker 7>it locally. Hybrid is a combination of work from home,

0:15:44.000 --> 0:15:46.440
<v Speaker 7>work from near to home, and come into someone like

0:15:46.560 --> 0:15:50.880
<v Speaker 7>Manhattan or Chicago once a month, get together with colleagues,

0:15:50.920 --> 0:15:52.920
<v Speaker 7>business reviews, collaborate.

0:15:53.720 --> 0:15:55.040
<v Speaker 2>So what does that mean for a market like New

0:15:55.120 --> 0:15:56.200
<v Speaker 2>York City? For example?

0:15:57.320 --> 0:16:00.080
<v Speaker 7>For New York City, it'll need to reinvent itself. You

0:16:00.120 --> 0:16:04.280
<v Speaker 7>can see it coming back here. It's probably a little

0:16:04.320 --> 0:16:06.640
<v Speaker 7>over a year since I was last in New York City. Yeah,

0:16:07.000 --> 0:16:09.240
<v Speaker 7>I mean it's more vacant. I didn't think it could

0:16:09.280 --> 0:16:10.000
<v Speaker 7>get more vacant.

0:16:10.040 --> 0:16:11.480
<v Speaker 2>You think it's more vacant than a year ago.

0:16:11.600 --> 0:16:15.000
<v Speaker 7>Oh, yes, absolutely. I mean you can see it at

0:16:15.040 --> 0:16:17.320
<v Speaker 7>the retail level, and then you can just got to

0:16:17.360 --> 0:16:18.840
<v Speaker 7>look up in the building. So I mean, look, it's

0:16:18.920 --> 0:16:21.760
<v Speaker 7>my I've been doing this for nearly thirty five years,

0:16:21.800 --> 0:16:24.680
<v Speaker 7>so I can tell looking at buildings where they're occupied

0:16:24.760 --> 0:16:26.880
<v Speaker 7>or not, there's a lot of vacancy, a lot of

0:16:26.960 --> 0:16:33.240
<v Speaker 7>sublet and you know, it's places like New York very

0:16:33.400 --> 0:16:38.200
<v Speaker 7>very difficult places and expensive places, time consuming places to

0:16:38.240 --> 0:16:41.400
<v Speaker 7>commute to for normal workers. So unless you live here,

0:16:42.320 --> 0:16:45.720
<v Speaker 7>it's not convenient, and especially downtown, if you go downtown,

0:16:46.040 --> 0:16:48.880
<v Speaker 7>you've got that double commute. So where you have that,

0:16:49.200 --> 0:16:50.960
<v Speaker 7>it's you know that people don't want to do that.

0:16:51.760 --> 0:16:54.400
<v Speaker 6>It makes complete sense because I feel like for many

0:16:54.440 --> 0:16:56.120
<v Speaker 6>of us who've come back to the pandemic. I like

0:16:56.240 --> 0:16:58.480
<v Speaker 6>being actually back in the office. I'm so tired of

0:16:58.560 --> 0:17:00.680
<v Speaker 6>commuting though. I'm tired of it like you just and

0:17:00.920 --> 0:17:02.000
<v Speaker 6>when you have that break.

0:17:01.800 --> 0:17:04.119
<v Speaker 2>That we done, is you're going to keep doing it.

0:17:04.800 --> 0:17:08.240
<v Speaker 6>Yeah, I'm not giving up my card anymore, my commuting card.

0:17:08.640 --> 0:17:11.520
<v Speaker 6>You work with the likes of or have Disney, Uber, Microsoft,

0:17:11.600 --> 0:17:14.160
<v Speaker 6>black Rocks, Spotify, which got news that it's cutting fifteen

0:17:14.240 --> 0:17:17.720
<v Speaker 6>hundred jobs earlier. We got that news. Disney earlier this

0:17:17.840 --> 0:17:20.320
<v Speaker 6>year began the first round of seven thousand expected job cuts.

0:17:21.080 --> 0:17:24.280
<v Speaker 6>Any of that working its way into less demand for

0:17:24.400 --> 0:17:27.120
<v Speaker 6>what you are doing or help me understand.

0:17:26.760 --> 0:17:28.600
<v Speaker 7>Yeah, more demand.

0:17:29.480 --> 0:17:29.760
<v Speaker 3>You see.

0:17:29.800 --> 0:17:35.040
<v Speaker 7>What's happening is you've got globally pretty much a difficult economy,

0:17:35.160 --> 0:17:39.040
<v Speaker 7>So corporations are looking at ways to be more efficient,

0:17:39.640 --> 0:17:44.000
<v Speaker 7>to get more productivity, to cut cost, so more and

0:17:44.119 --> 0:17:46.399
<v Speaker 7>more of a movement. You have to imagine us as

0:17:46.480 --> 0:17:51.280
<v Speaker 7>providing a platform for work and support of workers. You know,

0:17:51.720 --> 0:17:54.040
<v Speaker 7>at the moment in the US, as an example, we've

0:17:54.040 --> 0:17:57.840
<v Speaker 7>got twelve hundred buildings every state. We're adding six hundred

0:17:57.880 --> 0:18:01.800
<v Speaker 7>buildings next year, So you get this sort of work platform.

0:18:01.960 --> 0:18:05.560
<v Speaker 7>It costs half the price, it's near where your people

0:18:05.640 --> 0:18:09.520
<v Speaker 7>want to be. And we've also do US airport's airside,

0:18:09.640 --> 0:18:13.200
<v Speaker 7>we do railway stations, rest stops. So it's a work

0:18:13.240 --> 0:18:16.920
<v Speaker 7>from anywhere. It's not just office buildings, and the future,

0:18:17.119 --> 0:18:21.959
<v Speaker 7>a technology powered future, is about being productive wherever you are,

0:18:23.080 --> 0:18:25.600
<v Speaker 7>and it's about getting the most overt workforce. And that's

0:18:25.640 --> 0:18:27.119
<v Speaker 7>what companies are looking for today.

0:18:27.600 --> 0:18:29.800
<v Speaker 6>So what kind of indicator are you So if a

0:18:30.000 --> 0:18:31.160
<v Speaker 6>you know what I mean, if a company is looking

0:18:31.240 --> 0:18:34.159
<v Speaker 6>to cut costs and tap into more of you, is

0:18:34.200 --> 0:18:37.000
<v Speaker 6>that just a smart company or is it a company

0:18:37.040 --> 0:18:38.879
<v Speaker 6>feeling squeezed and they're looking to cut like you know

0:18:38.920 --> 0:18:42.199
<v Speaker 6>what I'm trying to it is as soon as they

0:18:42.280 --> 0:18:44.040
<v Speaker 6>need more space, Well.

0:18:45.600 --> 0:18:48.320
<v Speaker 7>How they save money is they have less space. It's

0:18:48.359 --> 0:18:50.760
<v Speaker 7>a bit like Uber. You don't have a car in

0:18:50.840 --> 0:18:54.080
<v Speaker 7>every city you travel to Chicago, you take an Uber

0:18:54.720 --> 0:18:56.520
<v Speaker 7>and you take an Uber when you need it. You

0:18:56.640 --> 0:18:58.639
<v Speaker 7>don't have one city there all the time. And what

0:18:58.760 --> 0:19:01.560
<v Speaker 7>we're doing on our platform, we've got eight million people

0:19:01.720 --> 0:19:04.960
<v Speaker 7>using it. They you know, you one day you're in Chicago,

0:19:05.680 --> 0:19:07.600
<v Speaker 7>the next day you're working from close to home. We

0:19:07.720 --> 0:19:11.840
<v Speaker 7>also support nearly about eight hundred thousand people that work

0:19:11.920 --> 0:19:14.560
<v Speaker 7>from home. We have a whole product range that supports homeworkers.

0:19:15.400 --> 0:19:19.040
<v Speaker 7>So it's you know, it's about a technology powered workplace

0:19:19.800 --> 0:19:24.840
<v Speaker 7>that's available anywhere. Our job is to create productive workplaces

0:19:25.320 --> 0:19:27.080
<v Speaker 7>so that people can do the best work.

0:19:27.280 --> 0:19:28.280
<v Speaker 2>But it's not coworking.

0:19:28.920 --> 0:19:33.120
<v Speaker 7>We do co working offices, we do work from home.

0:19:33.359 --> 0:19:37.160
<v Speaker 7>We do drop in small little things like a phone

0:19:37.200 --> 0:19:40.119
<v Speaker 7>box that you can use in airports. Do your teams.

0:19:40.440 --> 0:19:42.520
<v Speaker 2>How did you watch the bankruptcy if we workplay out?

0:19:43.119 --> 0:19:44.159
<v Speaker 7>Well, it was long, wasn't it.

0:19:44.240 --> 0:19:48.040
<v Speaker 6>I mean it's but they weren't wrong in their concept.

0:19:47.760 --> 0:19:50.520
<v Speaker 7>Absolutely not wrong. They were wrong in their execution.

0:19:50.960 --> 0:19:51.160
<v Speaker 9>Yeah.

0:19:51.640 --> 0:19:53.919
<v Speaker 7>I mean I've been doing this business along. I started

0:19:53.960 --> 0:19:58.040
<v Speaker 7>with one building in Brussels in nineteen eighty nine. We've

0:19:58.119 --> 0:20:01.880
<v Speaker 7>now got just a little over four thousand, and that's

0:20:01.960 --> 0:20:04.720
<v Speaker 7>been pretty much sell funded. We've had very little capital

0:20:04.760 --> 0:20:09.639
<v Speaker 7>put into the business, so we've reinvested capital. They in

0:20:09.720 --> 0:20:12.240
<v Speaker 7>the contrary, you know, they've used a huge amount of

0:20:12.320 --> 0:20:16.640
<v Speaker 7>capital and so it's just a different discipline, right, idea,

0:20:17.080 --> 0:20:19.960
<v Speaker 7>It's all about the execution. This is a detailed and

0:20:20.119 --> 0:20:23.720
<v Speaker 7>difficult operational business, not easy. A lot of people misjudge it.

0:20:23.840 --> 0:20:25.840
<v Speaker 6>How does the business model I'm a bit daft. How

0:20:25.880 --> 0:20:28.680
<v Speaker 6>does the business model work in terms of you because

0:20:28.720 --> 0:20:32.800
<v Speaker 6>you get investor money, or how does it works because

0:20:32.840 --> 0:20:34.840
<v Speaker 6>you don't own because we were getting some perfect kitchen

0:20:34.920 --> 0:20:35.480
<v Speaker 6>you don't own.

0:20:36.440 --> 0:20:40.720
<v Speaker 7>We have a platform so and that platform is a

0:20:40.760 --> 0:20:44.840
<v Speaker 7>digital platform, a sales platform, and we have huge numbers

0:20:44.840 --> 0:20:47.960
<v Speaker 7>of customers sitting on one side of the platform. If

0:20:48.040 --> 0:20:52.000
<v Speaker 7>you own a property, you're an institution, you're a private owner.

0:20:52.400 --> 0:20:54.879
<v Speaker 7>You want to put your property on our platform, you

0:20:55.000 --> 0:20:57.840
<v Speaker 7>can do that and we'll operate it for you. That's

0:20:57.880 --> 0:21:01.520
<v Speaker 7>what we do. So we're working the biggest institutions in

0:21:01.600 --> 0:21:05.160
<v Speaker 7>the world, insurance companies and someone who are putting property

0:21:05.200 --> 0:21:07.920
<v Speaker 7>on the platform so that it's sold in a hybrid way.

0:21:08.600 --> 0:21:09.960
<v Speaker 7>We're the middleman in all of that.

0:21:10.160 --> 0:21:12.719
<v Speaker 6>Get a piece of the business. So you don't care

0:21:12.760 --> 0:21:16.240
<v Speaker 6>if that property isn't rented out completely for the month.

0:21:16.520 --> 0:21:18.560
<v Speaker 6>We do well, you do because you'd make more money.

0:21:18.400 --> 0:21:20.840
<v Speaker 7>Off of it, and we want our partners to be successful,

0:21:20.880 --> 0:21:22.000
<v Speaker 7>so we're very focused on that.

0:21:22.280 --> 0:21:24.439
<v Speaker 2>Do you have any are you in any long term leases?

0:21:25.040 --> 0:21:28.920
<v Speaker 7>We have some, We have almost no long to We

0:21:29.040 --> 0:21:31.840
<v Speaker 7>have leases, but all of them are sure. We we

0:21:32.320 --> 0:21:38.040
<v Speaker 7>option long and we keep them short. Otherwise pretty much

0:21:38.119 --> 0:21:40.119
<v Speaker 7>a year we can get out of anything.

0:21:40.480 --> 0:21:42.800
<v Speaker 6>How has the interest rate environment impacted you?

0:21:43.040 --> 0:21:47.120
<v Speaker 7>If we are where our net debt is small, next

0:21:47.280 --> 0:21:48.960
<v Speaker 7>year it would be about the same as our rebit

0:21:48.960 --> 0:21:50.239
<v Speaker 7>do so about one time bit.

0:21:50.600 --> 0:21:54.560
<v Speaker 6>But any of your customers who have properties, have they

0:21:54.720 --> 0:21:57.359
<v Speaker 6>have you have some of them gone under or because

0:21:57.359 --> 0:21:58.240
<v Speaker 6>of the higher rate, some.

0:21:58.320 --> 0:22:00.320
<v Speaker 7>Of them, a few, very few have gone. But then

0:22:00.320 --> 0:22:03.679
<v Speaker 7>you get special services. We provide cash flow in the building,

0:22:03.760 --> 0:22:07.200
<v Speaker 7>and whoever takes the building, they like our cash flow.

0:22:07.320 --> 0:22:09.800
<v Speaker 2>So we're the areas of the world that you're concerned

0:22:09.800 --> 0:22:12.920
<v Speaker 2>about in terms of economies, economic activity, the consumer.

0:22:13.520 --> 0:22:16.040
<v Speaker 7>I mean, I think there's a not a global squeeze,

0:22:16.080 --> 0:22:20.280
<v Speaker 7>but it's pretty much. I think there's a universal squeeze,

0:22:20.359 --> 0:22:25.240
<v Speaker 7>both on companies and on the consumer. It's pretty widespread.

0:22:25.880 --> 0:22:28.920
<v Speaker 7>I mean, for me, and I've been business for nearly

0:22:29.000 --> 0:22:32.439
<v Speaker 7>fifty years. You know how quickly interest rates came up.

0:22:33.359 --> 0:22:36.680
<v Speaker 7>Has caught everyone you know, unawares, if you like. On

0:22:36.760 --> 0:22:39.920
<v Speaker 7>the one hand, and that's caught businesses that have debt

0:22:40.560 --> 0:22:42.560
<v Speaker 7>and that have taken out that debt obviously at low

0:22:42.800 --> 0:22:46.440
<v Speaker 7>interest rate comes back higher but also the consumer cost

0:22:46.520 --> 0:22:49.399
<v Speaker 7>of living and squeezing them as well. So that's forcing

0:22:49.520 --> 0:22:52.240
<v Speaker 7>companies to take action, whether as you said, whether that's

0:22:52.320 --> 0:22:55.240
<v Speaker 7>cutting people or cutting costs. And that's quite a good

0:22:55.320 --> 0:22:56.080
<v Speaker 7>environment for US.

0:22:56.280 --> 0:22:58.560
<v Speaker 6>Mark just got like twenty seconds left here. So based

0:22:58.600 --> 0:23:00.840
<v Speaker 6>on what you're seeing, what you you are doing, you've

0:23:01.040 --> 0:23:03.600
<v Speaker 6>talked about some some pretty impressive growth, especially with the

0:23:03.720 --> 0:23:08.280
<v Speaker 6>US market recession. Next year, global recess from US recession

0:23:08.359 --> 0:23:09.680
<v Speaker 6>very quickly, I would.

0:23:09.480 --> 0:23:13.120
<v Speaker 7>Say, difficult. Yeah, small recession.

0:23:13.520 --> 0:23:16.119
<v Speaker 6>Difficult year, small recession. That means a lot because you

0:23:16.240 --> 0:23:18.080
<v Speaker 6>definitely have like a front receipta in terms of what

0:23:18.160 --> 0:23:20.800
<v Speaker 6>many companies are doing. Come back, please sooner more than

0:23:20.920 --> 0:23:24.320
<v Speaker 6>one year. Mark Dickson is founder, executive director and CEO

0:23:24.359 --> 0:23:26.560
<v Speaker 6>of IWG International Workplace Group.

0:23:26.600 --> 0:23:36.680
<v Speaker 1>Here in studio, you're listening to the Bloomberg Business Week podcast.

0:23:36.960 --> 0:23:40.000
<v Speaker 1>Catch us live weekday afternoons from three to six Easter

0:23:40.359 --> 0:23:44.040
<v Speaker 1>on Bloomberg Radio, the Bloomberg Business App and YouTube. You

0:23:44.160 --> 0:23:47.360
<v Speaker 1>can also listen live on Amazon Alexa from our flagship

0:23:47.480 --> 0:23:51.359
<v Speaker 1>New York station, Just say Alexa play Bloomberg eleven thirty.

0:24:00.000 --> 0:24:01.920
<v Speaker 6>Hey everybody to say that a lot has happened since

0:24:01.960 --> 0:24:03.840
<v Speaker 6>we last checked in with our next guest would be

0:24:04.119 --> 0:24:06.280
<v Speaker 6>an understatement.

0:24:07.000 --> 0:24:07.520
<v Speaker 3>Big time.

0:24:08.119 --> 0:24:10.680
<v Speaker 6>Or Levine last joined us earlier this year, before the

0:24:10.760 --> 0:24:13.480
<v Speaker 6>October seventh Hamas attack on Israel area. As you know,

0:24:14.560 --> 0:24:18.159
<v Speaker 6>Many is the co founder, of course, at the navigation

0:24:18.240 --> 0:24:20.400
<v Speaker 6>app Ways, which Google bought for more than one point

0:24:20.440 --> 0:24:22.840
<v Speaker 6>one billion dollars. He was also an investor in move It,

0:24:23.280 --> 0:24:25.760
<v Speaker 6>which then tim Intel bought for a billion dollars.

0:24:25.880 --> 0:24:27.720
<v Speaker 2>Well I spoke to him because of his new book,

0:24:27.800 --> 0:24:29.600
<v Speaker 2>fall in Love with the Problem, Not the Solution, a

0:24:29.720 --> 0:24:33.359
<v Speaker 2>handbook for entrepreneurs. It details his journey and also his

0:24:33.480 --> 0:24:37.240
<v Speaker 2>unique philosophy on what it takes to be a successful innovator.

0:24:37.280 --> 0:24:40.160
<v Speaker 2>He's a graduate from the Tel Aviv University and served

0:24:40.200 --> 0:24:43.240
<v Speaker 2>in the Israeli Army Special Intelligence Unit. He started both

0:24:43.280 --> 0:24:45.440
<v Speaker 2>Ways and move It companies in Israel, which of course

0:24:45.520 --> 0:24:48.080
<v Speaker 2>is currently at war with Hamas in the Gaza strip

0:24:48.200 --> 0:24:49.960
<v Speaker 2>Or he good to have you back here in the

0:24:50.000 --> 0:24:54.080
<v Speaker 2>Bloomberg Interactive Brokers studio. How are you doing?

0:24:54.440 --> 0:24:58.400
<v Speaker 10>It's complicated, right, because it's never going to be the same.

0:24:58.560 --> 0:25:00.159
<v Speaker 10>It's never going to be the same. That was a

0:25:00.240 --> 0:25:04.080
<v Speaker 10>devastating attack. That was you know, my kids are the

0:25:04.160 --> 0:25:07.119
<v Speaker 10>age between twenty two and thirty three. They could have

0:25:07.240 --> 0:25:10.680
<v Speaker 10>been at this party, and there were many days that

0:25:10.960 --> 0:25:13.520
<v Speaker 10>that was my main thought of the day, that I'm

0:25:13.600 --> 0:25:17.400
<v Speaker 10>lucky that they weren't. That was devastating. And I think

0:25:17.440 --> 0:25:18.679
<v Speaker 10>that at the end of the day, if you look

0:25:18.720 --> 0:25:22.080
<v Speaker 10>into the future or you realize that they might be

0:25:22.119 --> 0:25:26.520
<v Speaker 10>a solution, but without Hamas being there, well.

0:25:26.400 --> 0:25:28.880
<v Speaker 6>That's what we think about. We talk a lot about

0:25:28.920 --> 0:25:32.320
<v Speaker 6>the way forward. I've talked to people I feel like

0:25:32.359 --> 0:25:34.760
<v Speaker 6>on both sides, and when I say sides, I don't

0:25:34.800 --> 0:25:38.280
<v Speaker 6>mean on Hamas's side, but I mean on the Palestinian

0:25:38.359 --> 0:25:41.399
<v Speaker 6>point of view, the Israeli point of view, about how

0:25:41.480 --> 0:25:43.280
<v Speaker 6>do we go forward? How do we stop that we

0:25:43.480 --> 0:25:46.080
<v Speaker 6>don't find five years from now, ten years we're still

0:25:46.119 --> 0:25:49.520
<v Speaker 6>talking about conflict in that region. How do you think

0:25:49.560 --> 0:25:49.960
<v Speaker 6>about that?

0:25:51.520 --> 0:25:53.080
<v Speaker 10>So, look, at the end of the day, if you

0:25:53.200 --> 0:25:55.800
<v Speaker 10>think about the Palestinians and Gaza Streep and you ask

0:25:55.840 --> 0:25:58.440
<v Speaker 10>yourself whether or not Tramas was doing any good for them,

0:25:58.600 --> 0:26:01.920
<v Speaker 10>not really, they were doing very good for themselves, but

0:26:02.080 --> 0:26:06.119
<v Speaker 10>not for the people. And look, Israel left the Gaza

0:26:06.160 --> 0:26:10.040
<v Speaker 10>Strip some seventeen eighteen years ago. There was an opportunity

0:26:10.080 --> 0:26:13.760
<v Speaker 10>to build awesome ness there and Ramas to go over

0:26:13.920 --> 0:26:16.879
<v Speaker 10>and basically this is a terrorist organization, right, they are

0:26:16.920 --> 0:26:20.920
<v Speaker 10>only agenda that they have is to kill us, and

0:26:21.160 --> 0:26:24.480
<v Speaker 10>that doesn't work. We guess what we don't want to

0:26:24.520 --> 0:26:28.160
<v Speaker 10>be to get killed. If Ramas is being removed from

0:26:28.200 --> 0:26:32.439
<v Speaker 10>the region, then there are opportunities for something else completely different, right,

0:26:32.520 --> 0:26:36.240
<v Speaker 10>because at the end of the day, most people prefer

0:26:36.520 --> 0:26:39.440
<v Speaker 10>leaving over dying, right, And most of the people in

0:26:39.520 --> 0:26:43.040
<v Speaker 10>the Gaza Strip it's the same for them. The challenge

0:26:43.160 --> 0:26:46.000
<v Speaker 10>is that the leadership of the Haramas is the one

0:26:46.080 --> 0:26:49.320
<v Speaker 10>that is basically enjoying the killing on one hand, and

0:26:49.440 --> 0:26:53.240
<v Speaker 10>the power in particular that they have. And I think

0:26:53.320 --> 0:26:56.560
<v Speaker 10>that once they are being removed, there is an opportunity

0:26:56.640 --> 0:26:59.520
<v Speaker 10>and I see major role of the US, major role

0:26:59.600 --> 0:27:03.960
<v Speaker 10>of US Saudi Arabia helping to recreate something new in

0:27:04.040 --> 0:27:04.560
<v Speaker 10>the Middle East.

0:27:04.640 --> 0:27:07.480
<v Speaker 2>We talk a little bit about that because that's a

0:27:07.560 --> 0:27:10.280
<v Speaker 2>part of the equation that I'm having trouble seeing here

0:27:10.440 --> 0:27:13.639
<v Speaker 2>the solution and what actually happens. And it sounds like

0:27:13.680 --> 0:27:16.240
<v Speaker 2>you think Hamas can be removed from power. So let's

0:27:16.240 --> 0:27:19.040
<v Speaker 2>say Hamas is successfully removed from power in the Gaza Strip,

0:27:19.680 --> 0:27:20.879
<v Speaker 2>what would you like to see happened.

0:27:21.920 --> 0:27:25.640
<v Speaker 10>So again we have to realize that what I would

0:27:25.720 --> 0:27:28.680
<v Speaker 10>like to see has I have zero influence on that,

0:27:28.960 --> 0:27:31.240
<v Speaker 10>or maybe a little bit of influence, but that's about it.

0:27:31.840 --> 0:27:34.160
<v Speaker 10>But I think that the opportunity here is that really

0:27:34.440 --> 0:27:37.240
<v Speaker 10>recreating something new with the support of the American, with

0:27:37.320 --> 0:27:41.520
<v Speaker 10>the support of the Saudist and basically establishing sort of

0:27:43.480 --> 0:27:46.439
<v Speaker 10>normalizations in the relationship. Right now, if you look at

0:27:46.480 --> 0:27:51.440
<v Speaker 10>the history of Israel, every time there was a major crisis,

0:27:51.600 --> 0:27:54.040
<v Speaker 10>two things happened. Number one, as well grew up stronger.

0:27:54.640 --> 0:27:57.400
<v Speaker 10>Number two, we actually figure out a way, a different way.

0:27:57.480 --> 0:27:57.600
<v Speaker 11>Right.

0:27:57.840 --> 0:28:01.560
<v Speaker 10>That's true for the he Pour War back in the

0:28:01.640 --> 0:28:04.320
<v Speaker 10>seventy three, and after that we had a peace with Egypt, right.

0:28:04.800 --> 0:28:08.040
<v Speaker 10>And that's true for World War Two where the Holocaust happened,

0:28:08.040 --> 0:28:10.760
<v Speaker 10>and after that there was a Jewish statement. And so

0:28:10.840 --> 0:28:12.080
<v Speaker 10>at the end of the day, I think that the

0:28:12.359 --> 0:28:16.960
<v Speaker 10>October seventh is such a major crisis that it will

0:28:17.119 --> 0:28:21.360
<v Speaker 10>lead into something else, and you know, hopefully as soon

0:28:21.400 --> 0:28:24.240
<v Speaker 10>as possible. Right, But when is that going to happen?

0:28:24.359 --> 0:28:24.840
<v Speaker 10>We don't know.

0:28:25.280 --> 0:28:27.359
<v Speaker 2>I want to talk economy a little bit, because I

0:28:27.400 --> 0:28:33.560
<v Speaker 2>don't think people understand that when people get called back

0:28:33.600 --> 0:28:37.760
<v Speaker 2>to the military. They leave their jobs to go back

0:28:38.600 --> 0:28:42.600
<v Speaker 2>to the Israeli military. So there's a whole element of

0:28:42.840 --> 0:28:45.600
<v Speaker 2>the Israeli economy that's not working the way that it

0:28:45.640 --> 0:28:49.480
<v Speaker 2>should right now. Are you seeing the effects of that

0:28:49.720 --> 0:28:52.680
<v Speaker 2>day to day that there is a shortage of workers,

0:28:52.800 --> 0:28:54.280
<v Speaker 2>that there are a lot of people who I mean,

0:28:54.320 --> 0:28:57.680
<v Speaker 2>I have friends on Facebook who've posted Israeli as you've said,

0:28:57.920 --> 0:29:01.240
<v Speaker 2>you know, my husband is away fighting right now because

0:29:01.280 --> 0:29:04.560
<v Speaker 2>he got called back. She's a tour operator who does

0:29:04.680 --> 0:29:07.560
<v Speaker 2>restaurant tours for tourists. There's no tourists there right now,

0:29:07.880 --> 0:29:10.840
<v Speaker 2>so she literally they literally have no income coming in

0:29:10.960 --> 0:29:11.920
<v Speaker 2>right now as a result of this.

0:29:14.960 --> 0:29:18.760
<v Speaker 10>So so not exactly, because when you're doing your military reserve,

0:29:18.880 --> 0:29:22.800
<v Speaker 10>you do get from the Social Security the same pay

0:29:22.880 --> 0:29:26.440
<v Speaker 10>that you were government if you were working. But if

0:29:26.480 --> 0:29:28.920
<v Speaker 10>you look at the impact of the war on the economy,

0:29:29.040 --> 0:29:33.200
<v Speaker 10>then then I would say, for a second, obviously budget

0:29:33.360 --> 0:29:37.080
<v Speaker 10>for security and is going to go up dramatic. Then

0:29:37.200 --> 0:29:42.280
<v Speaker 10>that's we all realize the war costs money. Some markets,

0:29:42.880 --> 0:29:47.240
<v Speaker 10>some industries are completely suffering from that, right Like tourism

0:29:47.400 --> 0:29:49.920
<v Speaker 10>right there is there there are no tourists going to Israel,

0:29:50.000 --> 0:29:53.600
<v Speaker 10>right And and I don't blame them, right, they shouldn't.

0:29:53.680 --> 0:29:56.600
<v Speaker 10>It's there is a war there and they don't feel safe.

0:29:56.640 --> 0:29:59.960
<v Speaker 10>And that's all high take industry is actually getting strong

0:30:00.680 --> 0:30:02.880
<v Speaker 10>because what we are realizing is that the people that

0:30:03.040 --> 0:30:08.080
<v Speaker 10>are still there, they are carrying the load for all

0:30:08.120 --> 0:30:10.640
<v Speaker 10>the people that are going on the military or reserve

0:30:10.680 --> 0:30:12.800
<v Speaker 10>and so forth. And what we have seen is that

0:30:13.760 --> 0:30:18.080
<v Speaker 10>the productivity increased dramatically. And when people that will be

0:30:18.160 --> 0:30:21.840
<v Speaker 10>coming back from the military reserve, then we are likely

0:30:21.960 --> 0:30:25.600
<v Speaker 10>to see huge growth in the high tech in general.

0:30:26.440 --> 0:30:28.440
<v Speaker 10>The challenge right now for the high tech, the Israeli

0:30:28.520 --> 0:30:30.760
<v Speaker 10>high tech, that it's harder to raise capital, right, so

0:30:30.960 --> 0:30:33.600
<v Speaker 10>most of the investors will prefer to be on the

0:30:33.720 --> 0:30:36.840
<v Speaker 10>fence and and you know, way to see that the

0:30:36.920 --> 0:30:41.560
<v Speaker 10>war is overright, investing in a war zone people afraid,

0:30:41.640 --> 0:30:42.600
<v Speaker 10>and they rightly.

0:30:42.720 --> 0:30:45.240
<v Speaker 2>So that's interesting to hear because you've also got a

0:30:45.320 --> 0:30:47.920
<v Speaker 2>group of very vocal Americans who are happy to give

0:30:48.040 --> 0:30:50.000
<v Speaker 2>to Israeli causes. And I would think that some of

0:30:50.080 --> 0:30:53.840
<v Speaker 2>those would be supportive of a venture capital. Of course

0:30:53.880 --> 0:30:56.440
<v Speaker 2>they will in the country. They to kind of help

0:30:56.480 --> 0:30:58.240
<v Speaker 2>prop it up time.

0:30:58.080 --> 0:30:59.240
<v Speaker 1>They do, and they will.

0:31:00.080 --> 0:31:03.000
<v Speaker 10>But in general, if you look at the you know,

0:31:03.200 --> 0:31:07.520
<v Speaker 10>non Jewish investors or non engaged investors, then they have

0:31:08.000 --> 0:31:10.520
<v Speaker 10>more challenging time, not all of them, but a lot.

0:31:10.920 --> 0:31:13.400
<v Speaker 6>Or is there anything you've put on hold because that's

0:31:13.440 --> 0:31:15.120
<v Speaker 6>home base for you? Correct Israel?

0:31:16.000 --> 0:31:19.720
<v Speaker 10>Or so I you know, I keep on building. Look,

0:31:19.840 --> 0:31:23.000
<v Speaker 10>I have a very simple life. I have a mission,

0:31:23.080 --> 0:31:25.640
<v Speaker 10>I have a destiny, I have a purpose and this

0:31:25.800 --> 0:31:28.680
<v Speaker 10>is about value creation. And then I can create value

0:31:28.760 --> 0:31:32.320
<v Speaker 10>through multiple ways, through you know, building startups that help people,

0:31:33.120 --> 0:31:37.920
<v Speaker 10>through you know, coaching and mentoring a group of CEOs.

0:31:38.040 --> 0:31:42.480
<v Speaker 10>That of my startups, through teaching and through you know,

0:31:42.680 --> 0:31:45.840
<v Speaker 10>the ultimate way of teaching is the book itself. They're

0:31:45.880 --> 0:31:49.080
<v Speaker 10>falling love with the problem, not the solution. Book is

0:31:49.240 --> 0:31:52.040
<v Speaker 10>by and large, this is sharing my know how with

0:31:52.200 --> 0:31:54.880
<v Speaker 10>people and hopefully make them more successful.

0:31:55.520 --> 0:31:57.880
<v Speaker 2>What's the problem that you see right now that needs

0:31:57.920 --> 0:31:59.000
<v Speaker 2>to be working?

0:31:59.400 --> 0:32:02.600
<v Speaker 10>There are a lot You're picked him exactly, take a pick.

0:32:03.080 --> 0:32:04.920
<v Speaker 10>So the good news is that there are a lot

0:32:04.920 --> 0:32:07.000
<v Speaker 10>of problems. The bad news is that there are a

0:32:07.040 --> 0:32:08.680
<v Speaker 10>lot of problems. Right the end of the day, there

0:32:08.680 --> 0:32:11.360
<v Speaker 10>are a lot of problems. One of the you know,

0:32:11.560 --> 0:32:14.400
<v Speaker 10>major problems that we are addressing recently is actually in

0:32:14.480 --> 0:32:17.960
<v Speaker 10>the US, the realization that most people will not have

0:32:18.240 --> 0:32:22.480
<v Speaker 10>enough saving for retirement, and so Pontera is one of

0:32:22.520 --> 0:32:25.320
<v Speaker 10>the companies that is helping that in the US help

0:32:25.360 --> 0:32:31.360
<v Speaker 10>people to eventually retire richer. And so this is this

0:32:31.520 --> 0:32:33.040
<v Speaker 10>is a big problem at the end of the day

0:32:33.480 --> 0:32:35.760
<v Speaker 10>when people get old and they don't have enough money.

0:32:35.880 --> 0:32:38.680
<v Speaker 10>This is a big problem. So this is one of

0:32:38.760 --> 0:32:41.240
<v Speaker 10>the things that I'm trying to do with my startups.

0:32:42.760 --> 0:32:47.800
<v Speaker 10>And you know, dealing with parking. Parking is a major

0:32:47.880 --> 0:32:50.120
<v Speaker 10>problem right now in generally you would say, wait a minute,

0:32:50.160 --> 0:32:52.840
<v Speaker 10>in the US, it's less of a problem because most

0:32:52.880 --> 0:32:54.960
<v Speaker 10>people live in a single family house and they have

0:32:55.120 --> 0:32:57.600
<v Speaker 10>a driveway and they have parking cars. But the rest

0:32:57.680 --> 0:33:01.520
<v Speaker 10>of the world, most people live in a multifamily houses,

0:33:01.640 --> 0:33:05.400
<v Speaker 10>multi story houses, and they don't have parking garage, and

0:33:05.760 --> 0:33:07.800
<v Speaker 10>then looking for parking at the end of the day's

0:33:07.800 --> 0:33:10.920
<v Speaker 10>a nightmare. And this is you know, my most recent

0:33:11.000 --> 0:33:13.640
<v Speaker 10>startup that we started that a couple of years ago

0:33:13.720 --> 0:33:18.880
<v Speaker 10>and h and it's stealing these well and hopefully it

0:33:18.960 --> 0:33:22.680
<v Speaker 10>will grow to address that because parking is a major problem.

0:33:22.800 --> 0:33:23.959
<v Speaker 2>Yeah, we could use that in Brooklyn.

0:33:25.120 --> 0:33:27.520
<v Speaker 6>Okay, Well, it's something I wonder you know, when I

0:33:27.560 --> 0:33:29.800
<v Speaker 6>think about so much. This year, we've talked about artificial

0:33:29.880 --> 0:33:33.520
<v Speaker 6>intelligence and generative AI, and some are concerned that it's

0:33:33.560 --> 0:33:36.040
<v Speaker 6>going to take jobs away from people. I see it

0:33:36.080 --> 0:33:39.600
<v Speaker 6>more as complimentary. But having said that, I do think

0:33:39.640 --> 0:33:44.080
<v Speaker 6>about job creation in the future because economies, whether it's

0:33:44.440 --> 0:33:46.560
<v Speaker 6>the Gaza Strip, if people have a way to make

0:33:46.600 --> 0:33:49.760
<v Speaker 6>a living and build a much more productive life, or

0:33:50.360 --> 0:33:55.040
<v Speaker 6>whether it's in Israel or whether it's in other developing markets,

0:33:55.360 --> 0:33:59.400
<v Speaker 6>if you can create a better life for yourself, it's

0:33:59.480 --> 0:34:02.360
<v Speaker 6>just a better, more peaceful place, right, even create an economy.

0:34:02.760 --> 0:34:05.000
<v Speaker 6>So are there I don't know. We are we moving

0:34:05.040 --> 0:34:09.080
<v Speaker 6>increasingly towards the world though, where technology is replacing jobs

0:34:09.920 --> 0:34:13.120
<v Speaker 6>at a faster pace than we can make them. Unless

0:34:13.120 --> 0:34:16.040
<v Speaker 6>you're coder, you know, I think that I hear that

0:34:16.239 --> 0:34:17.480
<v Speaker 6>for the last fifty years.

0:34:19.239 --> 0:34:23.400
<v Speaker 10>So even if you think of the revolution of agriculture,

0:34:23.480 --> 0:34:26.120
<v Speaker 10>that we started to have tractors and combine and different

0:34:26.239 --> 0:34:29.120
<v Speaker 10>machinery and everyone said, oh, this is going to take

0:34:29.120 --> 0:34:32.640
<v Speaker 10>away the work of the farmers, and guess what, it didn't. Right,

0:34:32.760 --> 0:34:36.040
<v Speaker 10>So every time that there is an innovation, we tell ourselves, oh,

0:34:36.160 --> 0:34:38.400
<v Speaker 10>this is going to take away all the jobs, and

0:34:38.480 --> 0:34:41.840
<v Speaker 10>then you look at the unemployment rate and it doesn't change,

0:34:42.040 --> 0:34:44.560
<v Speaker 10>or maybe it's becoming better because what happened is that

0:34:45.239 --> 0:34:49.480
<v Speaker 10>that technology by and large increase productivity. And when it

0:34:49.640 --> 0:34:52.360
<v Speaker 10>increased productivity, then we can create more. And when we

0:34:52.560 --> 0:34:56.160
<v Speaker 10>create more, then more people actually have a better life.

0:34:57.040 --> 0:34:59.279
<v Speaker 6>So you're not worried about AI be the end of

0:34:59.400 --> 0:34:59.840
<v Speaker 6>us all.

0:35:00.719 --> 0:35:03.080
<v Speaker 10>Not at all. What I think that we might find

0:35:03.160 --> 0:35:06.080
<v Speaker 10>out that there are some areas that we will need

0:35:06.120 --> 0:35:10.120
<v Speaker 10>to establish regulation. Right, So if I'm speaking with a person,

0:35:10.960 --> 0:35:13.960
<v Speaker 10>then that's one thing, But if I don't know that

0:35:14.080 --> 0:35:16.440
<v Speaker 10>I'm speaking to a machine might be a different thing.

0:35:16.520 --> 0:35:18.640
<v Speaker 10>So maybe the machine will need to identify itself and

0:35:18.760 --> 0:35:24.080
<v Speaker 10>tells me I'm a machine. And and this is something

0:35:24.160 --> 0:35:26.320
<v Speaker 10>that I think that eventually we will need to have.

0:35:26.880 --> 0:35:30.479
<v Speaker 2>Do you think that AI is close as Elon Musk

0:35:30.520 --> 0:35:33.320
<v Speaker 2>believes two becoming smarter than humans?

0:35:38.280 --> 0:35:40.200
<v Speaker 10>No, No, I think that we hear that for the

0:35:40.320 --> 0:35:42.640
<v Speaker 10>last fifty years or computers are going to be smarter

0:35:42.800 --> 0:35:44.680
<v Speaker 10>than people. Oh, we don't need people, We don't need

0:35:44.719 --> 0:35:49.560
<v Speaker 10>the human brain. The human brain something video fifty years ago, right,

0:35:49.719 --> 0:35:52.040
<v Speaker 10>But then you know, end of the day. I think

0:35:52.160 --> 0:35:57.600
<v Speaker 10>that the creativity and the adaptability is something that only

0:35:57.719 --> 0:35:59.799
<v Speaker 10>humans would have and at the end of the day,

0:36:00.880 --> 0:36:03.120
<v Speaker 10>that part is not going to be taking away.

0:36:03.200 --> 0:36:03.319
<v Speaker 12>Now.

0:36:03.360 --> 0:36:06.800
<v Speaker 10>Whether or not you can scan way more information in

0:36:06.880 --> 0:36:09.560
<v Speaker 10>a fraction of the sick and absolutely yes, Whether or

0:36:09.560 --> 0:36:12.480
<v Speaker 10>not you can process some of the things way faster, yes,

0:36:13.320 --> 0:36:16.600
<v Speaker 10>but not the same order of magnitude what the human

0:36:16.680 --> 0:36:17.120
<v Speaker 10>mind can do.

0:36:17.560 --> 0:36:20.120
<v Speaker 6>We've talked about a lot, and obviously it's a very

0:36:20.120 --> 0:36:22.759
<v Speaker 6>stressful world right now. Final thoughts that you want to

0:36:22.840 --> 0:36:25.719
<v Speaker 6>leave our audience as we get ready for a new year.

0:36:26.640 --> 0:36:30.520
<v Speaker 6>So I think that in just about thirty seconds.

0:36:30.600 --> 0:36:30.839
<v Speaker 11>Sorry.

0:36:31.360 --> 0:36:34.719
<v Speaker 10>Value creation, right, value creation when you create value and

0:36:34.800 --> 0:36:37.120
<v Speaker 10>valuate the way you create for others, not for yourself.

0:36:37.520 --> 0:36:39.680
<v Speaker 10>If we think about value creation, then we end up

0:36:39.719 --> 0:36:41.360
<v Speaker 10>with a purpose to a life. And when we end

0:36:41.480 --> 0:36:43.000
<v Speaker 10>up with a purpose to a life, we're going to

0:36:43.040 --> 0:36:47.160
<v Speaker 10>be happier and live longer, and the war is going

0:36:47.239 --> 0:36:48.040
<v Speaker 10>to be a better place.

0:36:49.120 --> 0:36:52.080
<v Speaker 6>Thank you so much than happy new year. Hope the

0:36:52.160 --> 0:36:55.520
<v Speaker 6>new year is a calmer one, more peaceful one, and

0:36:55.640 --> 0:36:59.279
<v Speaker 6>better one way it will be okay or OLIVI, thank

0:36:59.320 --> 0:37:01.279
<v Speaker 6>you so much. We appreciate it. Co founder of Ways

0:37:01.320 --> 0:37:03.759
<v Speaker 6>and so much more. As we talk about we've talked

0:37:03.800 --> 0:37:05.360
<v Speaker 6>about his book fall in Love with the Problem, Not

0:37:05.440 --> 0:37:08.359
<v Speaker 6>the Solution, A handbook for entrepreneurs. Happy New Year.

0:37:09.080 --> 0:37:12.600
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:37:12.680 --> 0:37:16.000
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

0:37:15.920 --> 0:37:19.360
<v Speaker 8>On Bloomberg dot com, the iHeartRadio app and the Bloomberg

0:37:19.440 --> 0:37:23.759
<v Speaker 8>Business app, or watch us live on YouTube with us.

0:37:24.040 --> 0:37:27.319
<v Speaker 2>We got Mark Million, Bloomberg News Technology Editor and also

0:37:27.360 --> 0:37:30.080
<v Speaker 2>the editor of Bloomberg BusinessWeek, Joel Weber, both here in

0:37:30.200 --> 0:37:34.120
<v Speaker 2>our Bloomberg Interactive Broker's studio. This is really cool a

0:37:34.239 --> 0:37:38.160
<v Speaker 2>behind the scenes look at Anderilla, closely held venture capital

0:37:38.239 --> 0:37:40.480
<v Speaker 2>backed company that's competing with the likes of Raytheon.

0:37:40.600 --> 0:37:43.600
<v Speaker 4>Joel Yet and the company had been You're right into

0:37:44.960 --> 0:37:50.839
<v Speaker 4>Oculus and developed Oculus, which now Meta Facebook acquired. Ever

0:37:50.960 --> 0:37:55.680
<v Speaker 4>since then it has been more interested in doing military applications.

0:37:56.280 --> 0:38:00.160
<v Speaker 4>And this roadrunner, which announced on Friday and after they

0:38:00.160 --> 0:38:03.360
<v Speaker 4>had an exclusive look at it, attempts to solve a

0:38:03.440 --> 0:38:05.280
<v Speaker 4>big problem for the US military.

0:38:05.320 --> 0:38:06.360
<v Speaker 3>Mark what is that problem?

0:38:07.520 --> 0:38:12.200
<v Speaker 13>The problem is drones, and so in particular in Iraq

0:38:12.280 --> 0:38:17.520
<v Speaker 13>and Syria, they the militants there have been able to

0:38:18.600 --> 0:38:21.600
<v Speaker 13>import these consumer drones like the kinds that you'd buy

0:38:21.760 --> 0:38:24.080
<v Speaker 13>for the holidays for your kids. They take them apart,

0:38:24.280 --> 0:38:26.840
<v Speaker 13>they attach bombs to them, and they are able to

0:38:26.920 --> 0:38:30.040
<v Speaker 13>assemble so many so cheaply that it's become a huge

0:38:30.120 --> 0:38:31.400
<v Speaker 13>threat to American forces.

0:38:31.480 --> 0:38:33.640
<v Speaker 2>I mean, these are the drones that are essentially being

0:38:33.760 --> 0:38:38.600
<v Speaker 2>used by Ukrainian forces to bomb Russian forces at are

0:38:38.640 --> 0:38:39.600
<v Speaker 2>really low cost.

0:38:39.800 --> 0:38:41.360
<v Speaker 3>And right back at Ukraine.

0:38:41.440 --> 0:38:44.239
<v Speaker 2>Yeah, they're like taping Russia. They're taping bombs to them.

0:38:44.520 --> 0:38:47.360
<v Speaker 13>Yes, that's the example of an ally using it as

0:38:47.400 --> 0:38:51.439
<v Speaker 13>a cheap way to kind of protect themselves in war.

0:38:51.600 --> 0:38:54.440
<v Speaker 13>But it's also a huge threat to American troops, and

0:38:54.560 --> 0:38:58.040
<v Speaker 13>so they've been working on ways to not just be

0:38:58.160 --> 0:39:01.640
<v Speaker 13>able to take out individual drones, but when forces create,

0:39:01.719 --> 0:39:04.239
<v Speaker 13>you know, militants create like what's what they call these

0:39:04.840 --> 0:39:07.719
<v Speaker 13>swarm assaults where there's like a bunch of them all

0:39:07.800 --> 0:39:12.040
<v Speaker 13>coming at at once, you need new technology to take

0:39:12.080 --> 0:39:14.799
<v Speaker 13>it out. So this is one answer to that. It's it's,

0:39:14.880 --> 0:39:17.919
<v Speaker 13>as you said, like almost a miniaturized fighter jet looking

0:39:18.000 --> 0:39:21.279
<v Speaker 13>thing that just goes in and uh and throws a

0:39:21.360 --> 0:39:23.960
<v Speaker 13>missile at these like swarms of drones, tries to take

0:39:24.000 --> 0:39:25.440
<v Speaker 13>them all out, and then it can it can go

0:39:25.600 --> 0:39:27.719
<v Speaker 13>back and it can land and they can load another

0:39:27.760 --> 0:39:28.960
<v Speaker 13>missile onto it and send.

0:39:28.840 --> 0:39:29.319
<v Speaker 4>It back up.

0:39:29.840 --> 0:39:32.600
<v Speaker 3>So how much do we think this technology is actually

0:39:32.640 --> 0:39:34.920
<v Speaker 3>going to cost? Because obviously the cost is the thing here.

0:39:35.000 --> 0:39:39.520
<v Speaker 4>You weaponize a drone, which I can do some holiday

0:39:39.560 --> 0:39:41.480
<v Speaker 4>shopping and acquire many druns. I'm not going to touch

0:39:41.520 --> 0:39:43.239
<v Speaker 4>the bomb part, but I can get the I can

0:39:43.280 --> 0:39:45.719
<v Speaker 4>get the drones, h and I get I get what

0:39:45.800 --> 0:39:48.319
<v Speaker 4>we're going for here. Because ultimately it's like, how can

0:39:48.360 --> 0:39:51.040
<v Speaker 4>the US military bring the cost down with something that

0:39:51.080 --> 0:39:54.640
<v Speaker 4>could be reusable? So so what what kind of budget

0:39:54.920 --> 0:39:57.160
<v Speaker 4>do I need to acquire many of these road runners?

0:39:57.680 --> 0:40:02.759
<v Speaker 13>So traditionally U US military was using Patriot missiles just

0:40:02.840 --> 0:40:05.680
<v Speaker 13>like kind of the default option. Those can run like

0:40:05.840 --> 0:40:09.560
<v Speaker 13>four million dollars a missile. ANDERIL says that they can

0:40:09.680 --> 0:40:12.880
<v Speaker 13>make these these things, these road runners for in the

0:40:13.000 --> 0:40:16.120
<v Speaker 13>low six figures, so you know, one thousand, two hundred

0:40:16.120 --> 0:40:19.560
<v Speaker 13>thousand per unit. So if they can pull it off,

0:40:19.719 --> 0:40:21.960
<v Speaker 13>and to be clear, it's it's a star, it's an

0:40:22.000 --> 0:40:25.759
<v Speaker 13>unproven company, it's startups, not raytheon. So there's there's doubts

0:40:25.760 --> 0:40:27.480
<v Speaker 13>about whether they can pull it off. But if they can,

0:40:28.000 --> 0:40:29.600
<v Speaker 13>the US could save a lot of money.

0:40:29.800 --> 0:40:31.920
<v Speaker 6>All right, so so far, so good in terms of

0:40:32.239 --> 0:40:34.720
<v Speaker 6>how effective it is in terms of trials and testing.

0:40:35.160 --> 0:40:36.200
<v Speaker 14>Yeah, it's very early.

0:40:36.280 --> 0:40:39.080
<v Speaker 13>It's a it's a brand new product. But they say

0:40:39.440 --> 0:40:42.040
<v Speaker 13>the US has ordered a bunch of them and they

0:40:42.360 --> 0:40:44.000
<v Speaker 13>expect them to be in the field next year.

0:40:44.520 --> 0:40:47.600
<v Speaker 3>So who else is attempting to come up with solutions

0:40:47.640 --> 0:40:48.120
<v Speaker 3>in this space?

0:40:48.480 --> 0:40:50.640
<v Speaker 4>Because this is a huge problem, Like I mean, US

0:40:50.760 --> 0:40:54.680
<v Speaker 4>forces around the world just basically, you know, you with

0:40:54.880 --> 0:40:59.680
<v Speaker 4>not that much technology, it becomes a serious problem. And

0:40:59.840 --> 0:41:02.359
<v Speaker 4>like you know, andder All can't be the only one

0:41:02.880 --> 0:41:06.040
<v Speaker 4>looking for looking at this base to provide potential SLA

0:41:06.120 --> 0:41:06.319
<v Speaker 4>and I.

0:41:06.320 --> 0:41:07.960
<v Speaker 6>Have to say reading this story, this is what to me,

0:41:08.040 --> 0:41:10.200
<v Speaker 6>I said, Okay, this is modern warfare, this is war

0:41:10.440 --> 0:41:12.440
<v Speaker 6>going forward, so you really need to have something to

0:41:12.680 --> 0:41:13.120
<v Speaker 6>counter it.

0:41:13.719 --> 0:41:14.040
<v Speaker 3>Yeaheah.

0:41:14.200 --> 0:41:18.760
<v Speaker 13>So the major defense contractors offer options that the USCS,

0:41:18.800 --> 0:41:20.680
<v Speaker 13>and again I mentioned the Patriot missile is kind of

0:41:20.719 --> 0:41:23.200
<v Speaker 13>the default. It's like, you know, tried and tested and

0:41:24.680 --> 0:41:29.120
<v Speaker 13>they know it works. But Andrels is taking this bet

0:41:29.280 --> 0:41:32.080
<v Speaker 13>that they can kind of break into this market with

0:41:32.360 --> 0:41:33.720
<v Speaker 13>a very different option.

0:41:34.000 --> 0:41:36.480
<v Speaker 2>Ashley makes this point a couple times in the story

0:41:36.560 --> 0:41:39.440
<v Speaker 2>that even though this thing the Roadrunner has been unveiled,

0:41:40.000 --> 0:41:42.480
<v Speaker 2>it hasn't yet been manufactured at scale. And if there's

0:41:42.480 --> 0:41:45.160
<v Speaker 2>one thing that we've learned from Tesselas's troubles over the

0:41:45.239 --> 0:41:48.880
<v Speaker 2>last six years or so, manufacturing one or ten of

0:41:48.960 --> 0:41:53.960
<v Speaker 2>something isn't as difficult is manufacturing a large number doing

0:41:54.000 --> 0:41:57.240
<v Speaker 2>this stuff at scale. What did the experts Ashley spoke

0:41:57.320 --> 0:42:00.680
<v Speaker 2>to about scaling this say in terms of challenges here?

0:42:01.239 --> 0:42:02.279
<v Speaker 14>Yeah, you're right, it's hard.

0:42:02.440 --> 0:42:05.800
<v Speaker 13>And it's also not a traditional consumer electronic where you

0:42:05.920 --> 0:42:09.120
<v Speaker 13>can use, you know, factories of China sule.

0:42:09.200 --> 0:42:11.520
<v Speaker 2>You can't buy one of these for the holidays for

0:42:11.760 --> 0:42:13.240
<v Speaker 2>your Family'll try.

0:42:13.120 --> 0:42:16.759
<v Speaker 13>Still, and but yeah, I mean there's always the dark web,

0:42:17.080 --> 0:42:19.719
<v Speaker 13>that's true. The philosophy inside this company has been to

0:42:19.960 --> 0:42:22.480
<v Speaker 13>try to do everything themselves, and so they're building their

0:42:22.520 --> 0:42:25.440
<v Speaker 13>own factory capabilities, their own factory lines to try to

0:42:25.600 --> 0:42:28.080
<v Speaker 13>be able to build the whole thing, uh and do

0:42:28.239 --> 0:42:31.040
<v Speaker 13>it in America, which is kind of what the US

0:42:31.120 --> 0:42:32.040
<v Speaker 13>government would like to see.

0:42:32.120 --> 0:42:33.880
<v Speaker 6>What's really kind of cool, too, is they're not this

0:42:34.120 --> 0:42:36.160
<v Speaker 6>is one thing, and hopefully if they get it up

0:42:36.160 --> 0:42:37.920
<v Speaker 6>and running, this is one thing, but they plan to

0:42:38.000 --> 0:42:40.760
<v Speaker 6>take this technology and spread it across other products.

0:42:40.840 --> 0:42:41.000
<v Speaker 10>Right.

0:42:41.600 --> 0:42:45.000
<v Speaker 13>Yeah, yeah, so ander Old already has a bunch of

0:42:45.200 --> 0:42:50.000
<v Speaker 13>different products that they sell to to the US and allies.

0:42:50.520 --> 0:42:53.800
<v Speaker 13>They do like you know, Century towers, sort of like

0:42:53.880 --> 0:42:58.120
<v Speaker 13>a virtual border wall that the US, their Border Control

0:42:58.160 --> 0:43:02.560
<v Speaker 13>has has purchased. But yeah, they've they've said that they've

0:43:02.719 --> 0:43:05.600
<v Speaker 13>spent these years developing all this new technology and they

0:43:05.680 --> 0:43:08.440
<v Speaker 13>think that it will They haven't gone to specifics, but

0:43:08.520 --> 0:43:10.840
<v Speaker 13>they think it some of it will be useful to

0:43:11.200 --> 0:43:12.600
<v Speaker 13>some of the other products that they're working on.

0:43:12.960 --> 0:43:16.520
<v Speaker 4>Okay, so something about this name strikes me as being

0:43:16.560 --> 0:43:20.800
<v Speaker 4>a little cheeky road redder. What is that a reference to?

0:43:21.600 --> 0:43:25.320
<v Speaker 13>Yeah, so, so Raytheon has a product called Coyote, So

0:43:25.400 --> 0:43:26.160
<v Speaker 13>it's a looney.

0:43:26.000 --> 0:43:28.480
<v Speaker 3>Tunes Raytheon being a competitor of.

0:43:28.920 --> 0:43:32.680
<v Speaker 13>Exactly right, So they're trying to stick it to their

0:43:32.800 --> 0:43:34.840
<v Speaker 13>much bigger rival.

0:43:35.000 --> 0:43:39.000
<v Speaker 4>What is the Coyote other than you know, just trying

0:43:39.080 --> 0:43:41.160
<v Speaker 4>to get the road Runner again and again and again

0:43:41.160 --> 0:43:43.960
<v Speaker 4>and again and never quite being able to it in

0:43:44.640 --> 0:43:45.400
<v Speaker 4>the real world?

0:43:45.600 --> 0:43:48.319
<v Speaker 3>What what is the coyote made by Ratheon.

0:43:48.120 --> 0:43:52.440
<v Speaker 13>Do It's a it's another sort of like autonomous defense

0:43:53.160 --> 0:43:58.680
<v Speaker 13>system that the main innovation that anderil Is is talking

0:43:58.800 --> 0:44:01.400
<v Speaker 13>up with This new product is that it's reusable.

0:44:01.440 --> 0:44:02.000
<v Speaker 4>It can land.

0:44:02.239 --> 0:44:09.280
<v Speaker 13>Like various companies including Androl, have built counter drone products

0:44:09.320 --> 0:44:12.520
<v Speaker 13>that can go and blow up a single drone that's

0:44:12.560 --> 0:44:17.480
<v Speaker 13>flying around. And so the main targets here are swarms

0:44:17.480 --> 0:44:19.680
<v Speaker 13>of drones and being able to reuse them so that

0:44:20.080 --> 0:44:22.040
<v Speaker 13>you're not having to buy a new one every single

0:44:22.120 --> 0:44:22.920
<v Speaker 13>time you take out.

0:44:23.120 --> 0:44:25.439
<v Speaker 6>My understanding too, is it's just one person that's needed

0:44:25.480 --> 0:44:28.880
<v Speaker 6>to kind of actually run it right or operate it

0:44:29.040 --> 0:44:30.160
<v Speaker 6>rather than multiples.

0:44:30.480 --> 0:44:31.319
<v Speaker 14>That's part of the pitch.

0:44:31.480 --> 0:44:33.000
<v Speaker 3>Yeah, yeah, it remains me seen.

0:44:33.040 --> 0:44:35.000
<v Speaker 4>But yeah, they part.

0:44:35.200 --> 0:44:38.400
<v Speaker 13>You know, Androl builds this kind of like software system

0:44:38.560 --> 0:44:41.120
<v Speaker 13>that they call Lattice where you can hook in all

0:44:41.200 --> 0:44:44.600
<v Speaker 13>sorts of different defense products and they're saying, you know

0:44:44.719 --> 0:44:47.839
<v Speaker 13>this will work with that that you can have them

0:44:47.880 --> 0:44:50.719
<v Speaker 13>all kind of communicate wirelessly so you can see where

0:44:50.760 --> 0:44:52.279
<v Speaker 13>all of your different roadrunners are.

0:44:52.440 --> 0:44:55.560
<v Speaker 2>It kind of sounds like the Ring camera system from Amazon,

0:44:55.680 --> 0:44:56.719
<v Speaker 2>but for you know.

0:44:56.920 --> 0:44:59.359
<v Speaker 6>You're obsessed with your Ring camera system right now.

0:45:00.000 --> 0:45:02.040
<v Speaker 4>You just add you know, you add the border wall

0:45:02.120 --> 0:45:04.520
<v Speaker 4>to it. I'll take a couple of drag and drop

0:45:04.560 --> 0:45:06.879
<v Speaker 4>into your car. I'll take a couple you know, road

0:45:06.960 --> 0:45:11.440
<v Speaker 4>runners through man well, the bigger thing an opportunity here

0:45:11.520 --> 0:45:14.800
<v Speaker 4>is obviously the Vince budget gigantic and being able to

0:45:14.880 --> 0:45:18.160
<v Speaker 4>crack it even with something that you know, may only

0:45:18.239 --> 0:45:22.120
<v Speaker 4>cost him the six figures, but around the world at scale,

0:45:22.120 --> 0:45:24.400
<v Speaker 4>if you can manufacture it there, that's that's huge. But

0:45:24.760 --> 0:45:28.719
<v Speaker 4>you know, the bigger challenge here does seem like the

0:45:29.360 --> 0:45:34.680
<v Speaker 4>US military being geared for different wars than we've ever seen.

0:45:34.760 --> 0:45:37.040
<v Speaker 4>And I think you know what, what we witnessed in

0:45:37.200 --> 0:45:42.600
<v Speaker 4>Iraq earlier in the two thousands was that the US

0:45:42.680 --> 0:45:46.600
<v Speaker 4>military was basically ill equipped to fight a certain type

0:45:46.600 --> 0:45:50.480
<v Speaker 4>of war. And you know when obviously Ashley has spent

0:45:50.520 --> 0:45:52.239
<v Speaker 4>a lot of time in this space, but like there

0:45:52.360 --> 0:45:56.920
<v Speaker 4>seems to be a new kind of war that the

0:45:57.120 --> 0:46:00.560
<v Speaker 4>US may not be ready for and we're getting of it.

0:46:02.640 --> 0:46:06.239
<v Speaker 4>What else is Androil maybe developing that could help down

0:46:06.280 --> 0:46:07.719
<v Speaker 4>the line? Do we have any sense of what this

0:46:07.840 --> 0:46:08.360
<v Speaker 4>could look like?

0:46:08.680 --> 0:46:11.160
<v Speaker 13>Yeah, the thing about defense contractors, they don't like to

0:46:11.239 --> 0:46:13.080
<v Speaker 13>talk to they don't like to talk about their weapons

0:46:13.200 --> 0:46:16.920
<v Speaker 13>until they're until they're ready. But but I mean, you've

0:46:16.960 --> 0:46:19.279
<v Speaker 13>raised a really good point about the kind of like

0:46:19.400 --> 0:46:22.840
<v Speaker 13>the new realities of war. One of the one of

0:46:22.880 --> 0:46:24.960
<v Speaker 13>the interesting things and one of the things that Andrel

0:46:25.080 --> 0:46:27.799
<v Speaker 13>was trying to address is this kind of like imbalance

0:46:28.040 --> 0:46:32.680
<v Speaker 13>in the in the economics of the of battling drones.

0:46:32.719 --> 0:46:36.960
<v Speaker 13>Like I said earlier, it's so cheap to assemble like

0:46:37.239 --> 0:46:39.840
<v Speaker 13>large quantities of drones and put bombs on them and

0:46:40.239 --> 0:46:45.200
<v Speaker 13>create some very powerful weapons and high high quantities. As

0:46:45.280 --> 0:46:47.960
<v Speaker 13>it stands now, it's very expensive to take them out.

0:46:48.120 --> 0:46:51.839
<v Speaker 13>And so it would cost so much more to blow

0:46:51.920 --> 0:46:54.680
<v Speaker 13>up these drones than it would cost to create like

0:46:54.800 --> 0:46:57.839
<v Speaker 13>a kamikaze drone that can kind of can blow up

0:46:58.239 --> 0:47:01.000
<v Speaker 13>and harm a lot of soldiers. And so that's something

0:47:01.040 --> 0:47:03.719
<v Speaker 13>that Anderil is trying to address by by focusing on

0:47:03.920 --> 0:47:05.120
<v Speaker 13>costs as one of the main things.

0:47:05.239 --> 0:47:06.680
<v Speaker 2>So I just want to make sure I understand the

0:47:06.719 --> 0:47:08.480
<v Speaker 2>product here that actually got to see.

0:47:09.080 --> 0:47:09.759
<v Speaker 10>It's a.

0:47:11.239 --> 0:47:14.840
<v Speaker 2>Fighter jet type of drone that takes off autonomously, but

0:47:14.960 --> 0:47:18.400
<v Speaker 2>then has a and has an explosive projectile that destroys

0:47:18.440 --> 0:47:21.719
<v Speaker 2>a drone. The explosive projectile obviously not reusable, but the

0:47:21.880 --> 0:47:24.040
<v Speaker 2>part that it's launched from is the part that's.

0:47:23.920 --> 0:47:28.279
<v Speaker 13>Reusable exactly well, so in the current model, it's not

0:47:28.480 --> 0:47:32.480
<v Speaker 13>reasonable once it once it it sends off, it's it's

0:47:32.560 --> 0:47:34.839
<v Speaker 13>missile the boy, I mean, the thing tends to blow

0:47:34.920 --> 0:47:37.400
<v Speaker 13>up and you can't use it again. They say that

0:47:37.480 --> 0:47:42.040
<v Speaker 13>they're close to developing basically a V two that that

0:47:42.480 --> 0:47:46.520
<v Speaker 13>what you did there jet the jet can can be reused.

0:47:46.840 --> 0:47:49.560
<v Speaker 13>So if you send the jet out in the current model,

0:47:49.560 --> 0:47:52.440
<v Speaker 13>you send the jet out, it doesn't see anything that

0:47:52.600 --> 0:47:54.400
<v Speaker 13>it that it needs to blow up. It can come

0:47:54.440 --> 0:47:57.360
<v Speaker 13>back and it can land. That's that's like an innovation.

0:47:57.480 --> 0:47:59.719
<v Speaker 13>It's almost like a tiny SpaceX rocket.

0:47:59.760 --> 0:48:01.279
<v Speaker 6>That's I was thinking, right, it's the whole kind of

0:48:01.320 --> 0:48:01.960
<v Speaker 6>Tesla idea.

0:48:02.040 --> 0:48:03.960
<v Speaker 13>Yeah, and it takes off in the lands and similar

0:48:04.040 --> 0:48:06.040
<v Speaker 13>it takes off vertically and then it kind of turns

0:48:06.080 --> 0:48:09.160
<v Speaker 13>and then flies like a like a jet. And so

0:48:09.440 --> 0:48:12.040
<v Speaker 13>but but they say, you know, the next big invention

0:48:12.200 --> 0:48:15.359
<v Speaker 13>here in the next model will be able to fight,

0:48:15.560 --> 0:48:17.279
<v Speaker 13>like take out a drone and then come back and

0:48:17.400 --> 0:48:19.160
<v Speaker 13>land and you can load it up with another missile.

0:48:19.320 --> 0:48:21.040
<v Speaker 6>It is, though, something we talk so much about disruption

0:48:21.160 --> 0:48:22.880
<v Speaker 6>in so many different spaces, and right it's been these

0:48:22.960 --> 0:48:25.359
<v Speaker 6>major defense contractors that have been so involved. But it's

0:48:25.440 --> 0:48:28.600
<v Speaker 6>really kind of fascinating to see this company just kind

0:48:28.640 --> 0:48:30.880
<v Speaker 6>of coming up potentially with something that would be very

0:48:31.000 --> 0:48:34.040
<v Speaker 6>dramatic and would become, you know, certainly something that governments

0:48:34.040 --> 0:48:34.320
<v Speaker 6>would do.

0:48:34.440 --> 0:48:36.440
<v Speaker 3>What truck record do they have in this space?

0:48:36.520 --> 0:48:39.800
<v Speaker 4>Because this they've been toying around in the military application

0:48:39.960 --> 0:48:43.000
<v Speaker 4>space basically since they got out of the headset one, right.

0:48:43.719 --> 0:48:47.320
<v Speaker 13>Yeah, so they're relatively new. I mean when you compare

0:48:47.400 --> 0:48:50.600
<v Speaker 13>them to the major defense you know, raytheon Boeing like that,

0:48:50.840 --> 0:48:54.080
<v Speaker 13>you know, not they're not super tested, but they they

0:48:54.160 --> 0:48:58.480
<v Speaker 13>started early. Really they're started putting out products early in

0:48:58.520 --> 0:49:01.320
<v Speaker 13>the Trump administration, and they seize on that as like

0:49:01.400 --> 0:49:04.279
<v Speaker 13>their first big opportunity was he was talking a lot

0:49:04.320 --> 0:49:06.520
<v Speaker 13>about the wall, like why don't we sell him a

0:49:06.640 --> 0:49:07.680
<v Speaker 13>virtual border wall?

0:49:08.000 --> 0:49:09.040
<v Speaker 3>And they bought it.

0:49:10.440 --> 0:49:15.719
<v Speaker 13>And so they've like worked on some other products to

0:49:15.880 --> 0:49:18.279
<v Speaker 13>varying degrees of success, but they're really making a lot

0:49:18.320 --> 0:49:20.399
<v Speaker 13>of noise about this one because they see a really

0:49:20.480 --> 0:49:21.440
<v Speaker 13>big opportunity.

0:49:21.600 --> 0:49:23.640
<v Speaker 6>I keep thinking like if this engine is so powerful,

0:49:23.760 --> 0:49:25.640
<v Speaker 6>like do they sell it to Bezos? You know who

0:49:25.640 --> 0:49:27.600
<v Speaker 6>wants to deliver things? Like is there some kind of

0:49:27.760 --> 0:49:31.160
<v Speaker 6>you know, commercial not just defensive commercial application.

0:49:31.000 --> 0:49:34.359
<v Speaker 4>Storied history of starting with military applications and then turning

0:49:34.520 --> 0:49:39.759
<v Speaker 4>finding the commercial finding the commercial application years later but

0:49:40.400 --> 0:49:42.759
<v Speaker 4>I think to their credit they have looked at this

0:49:42.920 --> 0:49:45.680
<v Speaker 4>as like, what is the problem that the US military

0:49:46.280 --> 0:49:48.880
<v Speaker 4>is facing in the field, and how can we perhaps

0:49:49.000 --> 0:49:53.200
<v Speaker 4>protect American soldiers And that goes for allies as well.

0:49:53.239 --> 0:49:55.279
<v Speaker 4>I mean, like we will see where this application ends up,

0:49:55.320 --> 0:50:01.759
<v Speaker 4>because clearly as Ukraine is currently shown and other battlefields

0:50:02.680 --> 0:50:04.960
<v Speaker 4>around the world, like, we will see more and more

0:50:05.200 --> 0:50:08.920
<v Speaker 4>and more drums, and currently those are being used abroad.

0:50:09.160 --> 0:50:11.800
<v Speaker 4>But the technology is scary enough that it can be

0:50:11.960 --> 0:50:14.600
<v Speaker 4>used to really inflect pain everywhere.

0:50:14.800 --> 0:50:19.000
<v Speaker 6>So yeah, first thing got to make sure it works right, Yes, little.

0:50:19.400 --> 0:50:21.560
<v Speaker 2>Good start tested in the desert.

0:50:21.760 --> 0:50:24.279
<v Speaker 14>Okay, not around that all right.

0:50:24.360 --> 0:50:26.640
<v Speaker 6>Note to self, Mark Mirillian, thank you so much. Really

0:50:26.640 --> 0:50:28.319
<v Speaker 6>appreciate you coming in and spend some time with us,

0:50:28.320 --> 0:50:30.880
<v Speaker 6>Bloomberg News Technology editor and of course the editor of

0:50:30.920 --> 0:50:32.239
<v Speaker 6>Bloomberg BusinessWeek, Tel Weber.

0:50:38.960 --> 0:50:42.520
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:50:42.600 --> 0:50:46.560
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:50:46.800 --> 0:50:50.040
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:50:50.200 --> 0:50:53.280
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:50:53.719 --> 0:50:56.759
<v Speaker 1>Just Say Alexa Play Bloomberg eleven thirty.

0:50:57.960 --> 0:50:59.759
<v Speaker 2>Twenty ahead in our second hour of the wee Get

0:51:00.200 --> 0:51:03.840
<v Speaker 2>of Bloomberg BusinessWeek, including a conversation with private equity heavyweight

0:51:03.920 --> 0:51:07.000
<v Speaker 2>Mark Patrickoff on his investment in the sports education company

0:51:07.160 --> 0:51:10.680
<v Speaker 2>IMG Academy. Plus, we'll explore the personal tech and enterprise

0:51:10.800 --> 0:51:13.319
<v Speaker 2>level IT trends to watch for in twenty twenty four

0:51:13.760 --> 0:51:16.800
<v Speaker 2>with Crawford del prehtt of IDC. As you might expect,

0:51:16.920 --> 0:51:20.040
<v Speaker 2>artificial intelligence is high on Crawford's list, and first up

0:51:20.040 --> 0:51:21.960
<v Speaker 2>this hour, we have an executive with a front row

0:51:22.040 --> 0:51:24.640
<v Speaker 2>seat to some of the cutting edge developments in this space.

0:51:25.080 --> 0:51:27.319
<v Speaker 2>Mandy Long is the CEO and a board member at

0:51:27.360 --> 0:51:30.360
<v Speaker 2>Big Bear AI. It's a publicly traded software maker that

0:51:30.400 --> 0:51:33.680
<v Speaker 2>provides AI and machine learning technology to support its customers

0:51:33.760 --> 0:51:37.719
<v Speaker 2>and defense, manufacturing, healthcare, and life sciences. Mandy spoke with

0:51:37.800 --> 0:51:40.959
<v Speaker 2>Carol in Bloomberg News equities reporter Bailey Lipschultz last week.

0:51:41.320 --> 0:51:44.400
<v Speaker 6>Billy, it was interesting to talk to David Weston who

0:51:44.480 --> 0:51:47.160
<v Speaker 6>talked about talking with Larry Summers about a year ago

0:51:47.480 --> 0:51:50.799
<v Speaker 6>and Larry was saying, oh my god, AIAI generated AI.

0:51:51.080 --> 0:51:53.720
<v Speaker 6>And then it was January of this year when Microsoft

0:51:53.760 --> 0:51:55.360
<v Speaker 6>made that ten billion dollar investment. Then all of a

0:51:55.360 --> 0:51:56.279
<v Speaker 6>sudden we were all in it.

0:51:56.520 --> 0:51:59.239
<v Speaker 11>Exactly a year ago. Yesterday I believe was the birth

0:51:59.280 --> 0:52:02.040
<v Speaker 11>of Chad GPS. It just celebrated its first birthday. I

0:52:02.080 --> 0:52:03.680
<v Speaker 11>don't know if you use it. I'd like to a

0:52:03.719 --> 0:52:05.840
<v Speaker 11>little bit play around with it more. Have it explained

0:52:05.880 --> 0:52:06.800
<v Speaker 11>complex topics?

0:52:07.040 --> 0:52:07.800
<v Speaker 14>Yeah, I'd say.

0:52:07.719 --> 0:52:08.319
<v Speaker 4>Write some code.

0:52:08.440 --> 0:52:09.919
<v Speaker 2>Tell it to me like, oh, I wish I could

0:52:10.000 --> 0:52:10.239
<v Speaker 2>do that.

0:52:11.800 --> 0:52:14.000
<v Speaker 6>But it's interesting and I feel like we've all become

0:52:14.120 --> 0:52:17.320
<v Speaker 6>enamored big time with it. We talked about the Microsoft investment.

0:52:18.360 --> 0:52:20.600
<v Speaker 6>It does feel like everything that was connected with AI

0:52:20.840 --> 0:52:24.200
<v Speaker 6>was often running. It became the buzzword on corporate earnings calls.

0:52:24.440 --> 0:52:27.160
<v Speaker 6>Yet Nvidia, it's your top performing name in the S

0:52:27.239 --> 0:52:29.640
<v Speaker 6>and P five hundred, two hundred and twenty percent. They

0:52:29.760 --> 0:52:31.760
<v Speaker 6>make the chips that are needed in the massive amounts

0:52:31.760 --> 0:52:34.719
<v Speaker 6>of calculations. Just today we had syrup Tech. It's a

0:52:34.760 --> 0:52:37.960
<v Speaker 6>startup that makes AI tools to help fashion retailers plan

0:52:38.040 --> 0:52:40.040
<v Speaker 6>and manage their inventory. They raised about seventeen and a

0:52:40.080 --> 0:52:43.120
<v Speaker 6>half million in a funding round. So it's just all

0:52:43.239 --> 0:52:43.759
<v Speaker 6>in on AI.

0:52:43.840 --> 0:52:45.680
<v Speaker 14>There's a lot going on, and it's everywhere.

0:52:45.719 --> 0:52:47.440
<v Speaker 11>I was talking to a banker this morning and she

0:52:47.600 --> 0:52:50.040
<v Speaker 11>was saying that when we think about AI. You can't

0:52:50.160 --> 0:52:53.080
<v Speaker 11>just think about it as generator AVEAI or the chip

0:52:53.120 --> 0:52:56.560
<v Speaker 11>makers the foundations. This is something that every company has

0:52:56.680 --> 0:52:59.040
<v Speaker 11>to have an answer to and investors are asking that

0:52:59.200 --> 0:53:01.440
<v Speaker 11>question because because the way she put it, either.

0:53:01.320 --> 0:53:02.680
<v Speaker 14>Going to be a winner or you're going to be roadkill.

0:53:02.800 --> 0:53:04.880
<v Speaker 6>Right, that's a really interesting and people are building out

0:53:04.880 --> 0:53:07.760
<v Speaker 6>their infrastructure to support it. So our next guest definitely

0:53:07.840 --> 0:53:10.359
<v Speaker 6>all in on AI. Delighted to have with us. Mandy Long,

0:53:10.680 --> 0:53:13.279
<v Speaker 6>CEO and board member at Big Bear AI joining us

0:53:13.320 --> 0:53:16.440
<v Speaker 6>on Zoom in Chicago. Mandy, it is I feel like

0:53:16.640 --> 0:53:19.640
<v Speaker 6>the topic there's two topics this year. It's weight loss,

0:53:19.719 --> 0:53:23.040
<v Speaker 6>drugs and AI, no doubt about it. Tell us about

0:53:23.120 --> 0:53:25.480
<v Speaker 6>what this year has been like for you guys.

0:53:25.840 --> 0:53:27.080
<v Speaker 15>Absolutely, and thank you for having me.

0:53:27.360 --> 0:53:31.200
<v Speaker 16>Yeah, it has been a huge year for AI, and

0:53:32.000 --> 0:53:35.120
<v Speaker 16>in no small part because of the rollout of chat GPT,

0:53:35.239 --> 0:53:37.480
<v Speaker 16>which did celebrate its birthday yesterday.

0:53:38.640 --> 0:53:41.759
<v Speaker 15>I think what it's meant for us, right and Big

0:53:41.800 --> 0:53:44.400
<v Speaker 15>Bar AI. You know, we've been well, we've only been

0:53:44.440 --> 0:53:46.319
<v Speaker 15>a publicly traded company for a couple of years.

0:53:46.680 --> 0:53:49.759
<v Speaker 16>We've been at this for a while and we apply

0:53:49.880 --> 0:53:52.840
<v Speaker 16>artificial intelligence to national security missions.

0:53:52.920 --> 0:53:53.719
<v Speaker 15>Right and enterprises.

0:53:53.760 --> 0:53:57.080
<v Speaker 16>I think something that has been a big catalyst for us,

0:53:57.239 --> 0:53:59.920
<v Speaker 16>and I heard the comments earlier around the fact that

0:54:00.000 --> 0:54:04.440
<v Speaker 16>but it really isn't just about generative AI artificial intelligence

0:54:04.520 --> 0:54:07.400
<v Speaker 16>in general, right in the application of it, particularly the

0:54:07.480 --> 0:54:11.440
<v Speaker 16>operational application of it, right the use in production helping

0:54:11.560 --> 0:54:15.279
<v Speaker 16>people is what has been a big game changer for

0:54:15.360 --> 0:54:17.400
<v Speaker 16>our business, and as we look towards the future, it's

0:54:17.480 --> 0:54:20.600
<v Speaker 16>what makes us incredibly excited about where we're headed.

0:54:20.760 --> 0:54:22.799
<v Speaker 6>You are a small market cap two hundred and eighty

0:54:22.840 --> 0:54:25.120
<v Speaker 6>two million. You've had quite a run this year, Like

0:54:25.200 --> 0:54:26.800
<v Speaker 6>a lot of names in the space, up one hundred

0:54:26.800 --> 0:54:29.640
<v Speaker 6>and sixty seven percent. About fifteen percent of the float

0:54:29.719 --> 0:54:32.520
<v Speaker 6>is shorted, so investors are watching it very carefully considering

0:54:32.560 --> 0:54:35.440
<v Speaker 6>the run up. Dig a little deeper and tell us

0:54:35.520 --> 0:54:39.080
<v Speaker 6>exactly what you guys are doing and who your customers are,

0:54:39.160 --> 0:54:40.759
<v Speaker 6>because from what I understand, it's a lot of the

0:54:40.840 --> 0:54:42.120
<v Speaker 6>US government, if not all.

0:54:43.480 --> 0:54:46.480
<v Speaker 15>Yeah, so our entire business is not all federal government.

0:54:46.520 --> 0:54:49.880
<v Speaker 16>We work about twenty federal agencies, about one hundred and

0:54:49.960 --> 0:54:53.920
<v Speaker 16>sixty commercial customers in the private sector, and how our

0:54:53.960 --> 0:54:56.480
<v Speaker 16>business breaks down is really into three verticals. We do

0:54:56.600 --> 0:54:59.840
<v Speaker 16>work in supply chainel logistics, we do work in cybersecurity,

0:55:00.000 --> 0:55:03.480
<v Speaker 16>and we do work in autonomous systems, and when you

0:55:03.600 --> 0:55:06.320
<v Speaker 16>think about those three markets, there's actually a high degree

0:55:06.400 --> 0:55:10.359
<v Speaker 16>of complementary nature because we're securing supply chains the same

0:55:10.400 --> 0:55:13.800
<v Speaker 16>way that we're introducing autonomous technology, and AI plays a

0:55:13.880 --> 0:55:16.680
<v Speaker 16>role in all three of those. The big difference maker

0:55:16.800 --> 0:55:20.879
<v Speaker 16>for us is that we combine very deep subject matter

0:55:20.960 --> 0:55:23.360
<v Speaker 16>expertise or the vast majority of our employees who are

0:55:23.360 --> 0:55:27.080
<v Speaker 16>supporting our customers come directly from those customer environments, regardless

0:55:27.160 --> 0:55:29.480
<v Speaker 16>of whether it's in the public or private sector, and

0:55:29.640 --> 0:55:34.040
<v Speaker 16>we pair that with a really open architecture approach associated

0:55:34.080 --> 0:55:36.239
<v Speaker 16>with solving customer problems. And when it comes to the

0:55:36.280 --> 0:55:38.600
<v Speaker 16>competitive landscape, where there's still a lot of players who

0:55:38.719 --> 0:55:43.800
<v Speaker 16>live in proprietary, closed system pay me support forever, we

0:55:43.880 --> 0:55:46.320
<v Speaker 16>take a pretty different tactic because for us, it's outcomes.

0:55:46.719 --> 0:55:49.600
<v Speaker 11>Well, Manda, you mentioned competition. How do you view the

0:55:49.800 --> 0:55:53.440
<v Speaker 11>evolution of big bar AI within what still is a

0:55:53.920 --> 0:55:56.200
<v Speaker 11>very much nascent part of the market.

0:55:57.880 --> 0:56:01.160
<v Speaker 16>AI is absolutely still in the early days because the

0:56:01.960 --> 0:56:04.799
<v Speaker 16>difference maker and is going to be you know whether

0:56:04.880 --> 0:56:07.160
<v Speaker 16>or not you can do it in production at scale

0:56:07.640 --> 0:56:10.800
<v Speaker 16>and you can work in an environment that is imperfect

0:56:11.800 --> 0:56:13.800
<v Speaker 16>for us, right, I think because of our roots in

0:56:13.920 --> 0:56:19.000
<v Speaker 16>national security and in working in highly complex and imperfect environments,

0:56:19.800 --> 0:56:21.279
<v Speaker 16>we have a bit of a leg up there, right,

0:56:21.360 --> 0:56:23.800
<v Speaker 16>that causes us to stand out relative to the competition.

0:56:24.880 --> 0:56:27.160
<v Speaker 15>A lot of how we also apply the technology, right.

0:56:27.200 --> 0:56:28.800
<v Speaker 15>I mentioned open architecture before.

0:56:29.560 --> 0:56:32.520
<v Speaker 16>That's a really big tenant of how we operate as

0:56:32.560 --> 0:56:34.520
<v Speaker 16>a business, and I think it plays a big role

0:56:34.560 --> 0:56:37.200
<v Speaker 16>as you start to think about the implications of applying

0:56:37.320 --> 0:56:39.560
<v Speaker 16>AI in production, right, as you start to get into

0:56:39.560 --> 0:56:41.759
<v Speaker 16>those questions of how do you know how do you

0:56:41.880 --> 0:56:42.360
<v Speaker 16>monitor in.

0:56:42.320 --> 0:56:45.239
<v Speaker 15>An ongoing basis? As these technologies mature.

0:56:45.120 --> 0:56:48.240
<v Speaker 6>Andandy, you know what's interesting is the conversation and narrative

0:56:48.280 --> 0:56:50.800
<v Speaker 6>has evolved over the year and everybody getting so excited

0:56:50.800 --> 0:56:53.239
<v Speaker 6>about AI. You know, I laughed, but it truly was.

0:56:53.280 --> 0:56:55.200
<v Speaker 6>On the earnings call, we would just search for AI

0:56:55.360 --> 0:56:58.200
<v Speaker 6>because every CEO is dropping it in to their press

0:56:58.320 --> 0:57:00.239
<v Speaker 6>releases or somehow bringing it up for a while. While

0:57:00.920 --> 0:57:06.480
<v Speaker 6>having said that, help me understand practically, whether it's supply

0:57:06.640 --> 0:57:10.200
<v Speaker 6>chains or cybersecurity or autonomous systems. Give me a for

0:57:10.560 --> 0:57:15.640
<v Speaker 6>instance of what you guys do using advanced AI. Generative

0:57:15.680 --> 0:57:19.080
<v Speaker 6>AI to help a company absolutely.

0:57:19.200 --> 0:57:21.440
<v Speaker 16>So a couple of really specific things that we do.

0:57:22.040 --> 0:57:24.440
<v Speaker 16>One is we have a very mature portfolio and computer

0:57:24.560 --> 0:57:27.080
<v Speaker 16>vision right. So it's an area that I think for

0:57:27.520 --> 0:57:30.000
<v Speaker 16>the technology industry has been somewhat out of reach for

0:57:30.000 --> 0:57:31.800
<v Speaker 16>a long time because you needed the compute.

0:57:32.560 --> 0:57:34.000
<v Speaker 15>We have a solution called arcis Right.

0:57:34.040 --> 0:57:37.000
<v Speaker 16>We're partnered with L three Harris in supporting their autonomous

0:57:37.000 --> 0:57:39.720
<v Speaker 16>surface vessel fleet, so we do the computer vision at

0:57:39.720 --> 0:57:45.800
<v Speaker 16>the edge on those vessels to help with vessel identification, weapons, etc.

0:57:46.280 --> 0:57:46.440
<v Speaker 15>Right.

0:57:46.480 --> 0:57:49.640
<v Speaker 16>Associated with deployments and missions where you're working in really

0:57:50.160 --> 0:57:54.280
<v Speaker 16>disconnected and difficult to process environments, we provide CV there.

0:57:55.480 --> 0:57:59.240
<v Speaker 16>Over on the supply chain side, a really good example

0:57:59.480 --> 0:58:02.360
<v Speaker 16>of our capabilities are associated with what we do from

0:58:02.560 --> 0:58:06.520
<v Speaker 16>predictive analytics. We have a solution that we call Dominate

0:58:06.880 --> 0:58:10.280
<v Speaker 16>that's very focused on geopolitical and macroeconomic forecasting.

0:58:10.680 --> 0:58:10.800
<v Speaker 15>Right.

0:58:10.880 --> 0:58:14.760
<v Speaker 16>That's applied in an environment today, right, incredibly relevant as

0:58:14.800 --> 0:58:17.520
<v Speaker 16>you look at the global landscape and your suppliers who

0:58:17.560 --> 0:58:21.000
<v Speaker 16>are working through very difficult capital deployment decisions associated with

0:58:21.120 --> 0:58:24.360
<v Speaker 16>still having to deliver en product to a customer and

0:58:24.440 --> 0:58:28.080
<v Speaker 16>an environment where you can no longer rely on the

0:58:28.160 --> 0:58:30.640
<v Speaker 16>same turnaround times associated with the assembly process.

0:58:30.680 --> 0:58:32.479
<v Speaker 6>What's interesting is I hear you talk and I'm thinking,

0:58:32.760 --> 0:58:35.440
<v Speaker 6>were you laughing at everybody in January when they're like,

0:58:35.520 --> 0:58:36.120
<v Speaker 6>oh my god?

0:58:36.240 --> 0:58:36.520
<v Speaker 3>AI?

0:58:36.920 --> 0:58:38.840
<v Speaker 6>I mean, we know AI has been around for decades,

0:58:39.160 --> 0:58:42.640
<v Speaker 6>but in terms of this more advanced level, it sounds like,

0:58:42.800 --> 0:58:46.440
<v Speaker 6>I mean, how long have you guys been working on that?

0:58:46.520 --> 0:58:49.400
<v Speaker 6>Although it doesn't like the processing power, right, has been

0:58:49.880 --> 0:58:52.000
<v Speaker 6>a newer thing to kind of take it to another level.

0:58:52.040 --> 0:58:54.160
<v Speaker 6>So I'm just curious connect the dots for me on

0:58:54.280 --> 0:58:54.919
<v Speaker 6>that if you would.

0:58:55.600 --> 0:58:57.800
<v Speaker 16>Yeah, And the answer is no, by the way, in

0:58:57.920 --> 0:59:00.600
<v Speaker 16>terms of whether I was laughing and everyone right, I

0:59:00.680 --> 0:59:04.320
<v Speaker 16>think this year has been a As a technologist, it's

0:59:04.360 --> 0:59:08.800
<v Speaker 16>a it's a liberating year because I've talked about previously,

0:59:09.720 --> 0:59:10.680
<v Speaker 16>you know, this idea that.

0:59:11.040 --> 0:59:12.760
<v Speaker 15>I think AI is the new literacy.

0:59:13.120 --> 0:59:13.240
<v Speaker 5>Right.

0:59:13.400 --> 0:59:16.920
<v Speaker 16>You know, previously literacy for a long time was held

0:59:16.960 --> 0:59:18.760
<v Speaker 16>at a high priest and priestess level.

0:59:19.240 --> 0:59:21.280
<v Speaker 15>It was inaccessible to the masses.

0:59:21.320 --> 0:59:25.160
<v Speaker 16>And what change, right is the idea of literacy empowers

0:59:25.160 --> 0:59:28.000
<v Speaker 16>and liberates people. I think what's happened this year is

0:59:28.040 --> 0:59:30.960
<v Speaker 16>the exact same thing is happening with AI. Right, We've

0:59:31.000 --> 0:59:34.240
<v Speaker 16>democratized the ability to interact with these advanced models in

0:59:34.320 --> 0:59:36.680
<v Speaker 16>a way that it didn't exist right a little over

0:59:36.720 --> 0:59:40.080
<v Speaker 16>twelve months ago. And you know, whether you're talking about

0:59:40.920 --> 0:59:44.400
<v Speaker 16>empowering creativity, right, An example of you know how even

0:59:44.440 --> 0:59:47.320
<v Speaker 16>I use gender tove AI and tools like that is I,

0:59:47.760 --> 0:59:49.560
<v Speaker 16>you know, I play with my kids and I asked them,

0:59:49.600 --> 0:59:52.120
<v Speaker 16>you know, who's the main character and what's our bedtime

0:59:52.200 --> 0:59:54.200
<v Speaker 16>story going to be? And we you know, you work

0:59:54.240 --> 0:59:56.640
<v Speaker 16>with technology to change the way that people can think

0:59:56.680 --> 0:59:57.800
<v Speaker 16>about being creative.

0:59:57.880 --> 1:00:01.280
<v Speaker 15>And I think that for me is you know, it's

1:00:01.320 --> 1:00:03.600
<v Speaker 15>why I love what I do, right. And I think

1:00:03.680 --> 1:00:04.760
<v Speaker 15>that what we're going to.

1:00:04.760 --> 1:00:08.040
<v Speaker 16>See on a go forward basis is that because the

1:00:08.120 --> 1:00:10.920
<v Speaker 16>level of understanding of what is just what is possible

1:00:11.280 --> 1:00:14.720
<v Speaker 16>associated with kind of technology is now becoming more mainstream,

1:00:15.200 --> 1:00:17.640
<v Speaker 16>we're going to see the applications of it become widely

1:00:17.680 --> 1:00:21.920
<v Speaker 16>adopted because it shouldn't be limited to those who can

1:00:22.040 --> 1:00:25.280
<v Speaker 16>speak the technical language, right, It's humanity that's going to

1:00:25.320 --> 1:00:26.080
<v Speaker 16>decide where this goes.

1:00:26.400 --> 1:00:28.600
<v Speaker 11>When you look at Big Barry, I is the growth

1:00:29.000 --> 1:00:32.280
<v Speaker 11>prospect within the private or public sector? Like, what is

1:00:32.360 --> 1:00:34.280
<v Speaker 11>more attractive and where do you see that growth for

1:00:34.400 --> 1:00:34.800
<v Speaker 11>the company?

1:00:35.120 --> 1:00:37.680
<v Speaker 16>The answer is both right, And I would say that

1:00:37.840 --> 1:00:40.960
<v Speaker 16>because what has changed, particularly over the past two years,

1:00:41.080 --> 1:00:43.600
<v Speaker 16>as we've seen massive disruption in the global supply chain

1:00:43.720 --> 1:00:47.000
<v Speaker 16>and we've seen a geopolitical climate right that looks like

1:00:47.120 --> 1:00:47.560
<v Speaker 16>we could be.

1:00:49.040 --> 1:00:49.280
<v Speaker 7>In a.

1:00:50.840 --> 1:00:53.560
<v Speaker 16>New face of a conflict in the coming years. Means

1:00:53.560 --> 1:00:55.680
<v Speaker 16>that both sides of my business are very busy because

1:00:55.720 --> 1:00:57.760
<v Speaker 16>one needs the other, right in order to look into

1:00:57.800 --> 1:00:58.880
<v Speaker 16>the future and be successful.

1:00:58.920 --> 1:01:01.040
<v Speaker 6>We're talking with Mandy Long, CEO and board member at

1:01:01.080 --> 1:01:04.320
<v Speaker 6>Big Bear AI, still with us on Zoom in Chicago. Mandy,

1:01:04.360 --> 1:01:06.920
<v Speaker 6>you were talking about the importance of both the public

1:01:06.960 --> 1:01:10.680
<v Speaker 6>and private worlds in terms of your business going forward.

1:01:10.720 --> 1:01:12.320
<v Speaker 6>Talk to us a little bit more about that, and

1:01:12.400 --> 1:01:14.760
<v Speaker 6>I know you also made a recent acquisition. Tell us

1:01:14.760 --> 1:01:17.200
<v Speaker 6>about that and how that kind of feeds into your

1:01:17.240 --> 1:01:19.040
<v Speaker 6>business and fits into the business growth.

1:01:19.400 --> 1:01:22.959
<v Speaker 16>Absolutely, and I think the best way to break down

1:01:23.400 --> 1:01:26.480
<v Speaker 16>the importance of the relationship between the public and private

1:01:26.520 --> 1:01:28.880
<v Speaker 16>sector side of what we do is that there's an

1:01:28.920 --> 1:01:32.440
<v Speaker 16>incredible amount of collaboration that happens between both sides today

1:01:32.600 --> 1:01:35.200
<v Speaker 16>and I think Big Bear in particular sits.

1:01:35.800 --> 1:01:37.800
<v Speaker 15>At an intersection point between the two of those.

1:01:37.920 --> 1:01:40.640
<v Speaker 16>Right in the private sector side, right, we support with

1:01:40.720 --> 1:01:43.360
<v Speaker 16>a lot of the technology we have in not only

1:01:43.440 --> 1:01:45.640
<v Speaker 16>in the autonomous system side of our business, but also

1:01:45.760 --> 1:01:50.480
<v Speaker 16>supply chains a lot of capabilities that then get delivered

1:01:50.560 --> 1:01:54.120
<v Speaker 16>right into the federal government through those providers. In addition

1:01:54.320 --> 1:01:58.440
<v Speaker 16>to that, we work that we do and for example healthcare,

1:01:59.160 --> 1:02:02.000
<v Speaker 16>I spent fifteen years in healthcare, I was early days

1:02:02.040 --> 1:02:04.920
<v Speaker 16>in machine learning and vision AI. There we do a

1:02:05.000 --> 1:02:09.640
<v Speaker 16>lot of work with hospitals and health systems supporting patient

1:02:09.680 --> 1:02:11.760
<v Speaker 16>flow optimization. Right, So if you have a patient that

1:02:11.800 --> 1:02:13.880
<v Speaker 16>presents inn the ED, how do you make sure that

1:02:13.920 --> 1:02:15.760
<v Speaker 16>you get them to the right place at the right time.

1:02:16.640 --> 1:02:20.000
<v Speaker 16>Those patterns right in the ability to apply advanced technology

1:02:20.080 --> 1:02:22.360
<v Speaker 16>to that means that both sides of our business right

1:02:22.440 --> 1:02:26.680
<v Speaker 16>are growing right and relevant because we're solving problems that

1:02:27.280 --> 1:02:30.560
<v Speaker 16>cross the chasm of both sides. And when we look

1:02:30.640 --> 1:02:35.880
<v Speaker 16>forward to where we're headed, the anticipated acquisition that we

1:02:35.920 --> 1:02:41.200
<v Speaker 16>announced recently with Pangam bolsters our vision AI portfolio. Because

1:02:41.760 --> 1:02:44.280
<v Speaker 16>you heard me talk you know a lot about arcists

1:02:44.400 --> 1:02:47.680
<v Speaker 16>right in the work that we do in horizontal imagery

1:02:48.000 --> 1:02:52.439
<v Speaker 16>right in satellite Pangam has a remarkable portfolio that does

1:02:53.200 --> 1:02:57.200
<v Speaker 16>advanced biometrics right facial you know iris based work and

1:02:57.680 --> 1:03:00.880
<v Speaker 16>it provides a really comprehensive solution that we can bring

1:03:00.920 --> 1:03:01.560
<v Speaker 16>to our customers.

1:03:02.200 --> 1:03:06.240
<v Speaker 11>And Manie kind of balancing though the utilization of technology

1:03:06.280 --> 1:03:10.320
<v Speaker 11>AI streamlining things, helping work in healthcare and better treat people.

1:03:10.440 --> 1:03:13.360
<v Speaker 11>But on the flip side, buying a facial recognition company,

1:03:13.440 --> 1:03:16.400
<v Speaker 11>how does that play into some of the security issues

1:03:16.440 --> 1:03:19.680
<v Speaker 11>and getting customers and consumers kind of on board with that.

1:03:19.840 --> 1:03:22.640
<v Speaker 11>Just given as you mentioned, biometrics is something that's very

1:03:22.720 --> 1:03:23.800
<v Speaker 11>hotly debated.

1:03:23.720 --> 1:03:25.400
<v Speaker 16>It very much is right, and I think it was

1:03:26.640 --> 1:03:30.640
<v Speaker 16>an important strategic decision right and it was not made

1:03:30.720 --> 1:03:31.400
<v Speaker 16>lightly right.

1:03:32.680 --> 1:03:34.000
<v Speaker 15>At Big Bear, we play.

1:03:34.200 --> 1:03:36.600
<v Speaker 16>A very big role and we use our voice very

1:03:36.680 --> 1:03:40.080
<v Speaker 16>openly as it relates to talking about the safety and

1:03:40.120 --> 1:03:43.760
<v Speaker 16>security of AI technology. We're very active right in the

1:03:44.440 --> 1:03:49.240
<v Speaker 16>responsible innovation category, the input associated with how to do

1:03:49.360 --> 1:03:53.280
<v Speaker 16>regulation at scale, and so when we think about the

1:03:53.400 --> 1:03:55.320
<v Speaker 16>use of biometrics, I think one of the things that's

1:03:55.360 --> 1:03:59.840
<v Speaker 16>really important to keep in mind, right is that in

1:04:00.080 --> 1:04:03.880
<v Speaker 16>many ways as a society, we've we've crossed over a

1:04:03.920 --> 1:04:06.680
<v Speaker 16>lot of the chasm associated with putting information out there

1:04:06.760 --> 1:04:07.160
<v Speaker 16>because of.

1:04:07.200 --> 1:04:10.880
<v Speaker 15>The widespread use right and multi year at scale use

1:04:10.920 --> 1:04:11.560
<v Speaker 15>of social media.

1:04:12.760 --> 1:04:16.160
<v Speaker 16>Now from a kind of where we sit on that

1:04:16.280 --> 1:04:18.960
<v Speaker 16>spectrum and the role that we play, right, most of

1:04:19.120 --> 1:04:24.120
<v Speaker 16>the capabilities that when we think about our vision portfolio today,

1:04:24.480 --> 1:04:28.600
<v Speaker 16>where we're very focused on, is not in making autonomous decisions, right,

1:04:28.640 --> 1:04:31.880
<v Speaker 16>it's in helping to distill and provide decision support for

1:04:31.960 --> 1:04:32.720
<v Speaker 16>the ultimate.

1:04:32.440 --> 1:04:35.560
<v Speaker 6>Costomer believe, So you'd be working side by side with

1:04:35.640 --> 1:04:38.120
<v Speaker 6>a human might come up all in terms of one

1:04:38.120 --> 1:04:40.760
<v Speaker 6>of your systems saying hey, here's what we've come up with,

1:04:41.040 --> 1:04:42.440
<v Speaker 6>but you need to look at it and kind of

1:04:42.480 --> 1:04:45.200
<v Speaker 6>make some kind of decisions maybe off of it. Correct,

1:04:45.280 --> 1:04:47.520
<v Speaker 6>because I think what we're human in the loop, because

1:04:47.560 --> 1:04:49.480
<v Speaker 6>I think we get we get worried. You know, our

1:04:49.560 --> 1:04:52.000
<v Speaker 6>David Weston we talked with, who had talked with Henry Kissinger,

1:04:52.200 --> 1:04:57.120
<v Speaker 6>very concerned about AI in war time or in war specifically.

1:04:57.160 --> 1:04:58.800
<v Speaker 6>And I think about the role that you know, you

1:04:58.880 --> 1:05:00.480
<v Speaker 6>guys are going to be. You know they you already

1:05:00.480 --> 1:05:02.880
<v Speaker 6>do work with the government. I mean, what are some

1:05:03.040 --> 1:05:06.520
<v Speaker 6>of the oversights that we need to have though in

1:05:06.720 --> 1:05:09.720
<v Speaker 6>place to make sure that there isn't some kind of

1:05:09.960 --> 1:05:12.680
<v Speaker 6>runaway technology. And I'm not trying to be silly and

1:05:13.280 --> 1:05:15.400
<v Speaker 6>sci fi, but these things could happen.

1:05:15.800 --> 1:05:16.880
<v Speaker 15>It's not an unfair question.

1:05:17.120 --> 1:05:20.160
<v Speaker 16>Yeah, and I think it's you saw in the executive

1:05:20.240 --> 1:05:22.920
<v Speaker 16>order that came out, you know, the top item is

1:05:23.360 --> 1:05:25.640
<v Speaker 16>safety and security of AI technology, and that is not

1:05:25.840 --> 1:05:30.240
<v Speaker 16>for no reason. One of the things that I think

1:05:30.280 --> 1:05:33.000
<v Speaker 16>we have to keep in mind as a society as well,

1:05:33.240 --> 1:05:36.640
<v Speaker 16>is that we have already passed through the gates of

1:05:37.600 --> 1:05:43.720
<v Speaker 16>a human being able to individually manage and provide oversight

1:05:43.760 --> 1:05:47.120
<v Speaker 16>of this kind of technology at scale. We're already an

1:05:47.160 --> 1:05:50.040
<v Speaker 16>augmented species, right. You know, you have I'm sure a

1:05:50.080 --> 1:05:52.840
<v Speaker 16>phone right on you at all times, or a computer

1:05:52.960 --> 1:05:58.800
<v Speaker 16>at home. Leveraging technology to help keep those guardrails in

1:05:58.880 --> 1:06:02.280
<v Speaker 16>place is going to be what's important here because the

1:06:02.680 --> 1:06:05.080
<v Speaker 16>traditional processes in paperwork is not going to get us.

1:06:05.000 --> 1:06:08.240
<v Speaker 11>There many One of the things that played out with

1:06:08.360 --> 1:06:10.760
<v Speaker 11>Opening Eye going too fast too soon. I think back

1:06:10.840 --> 1:06:13.480
<v Speaker 11>to you know, Facebook, with Cambridge Atalytica, there is this

1:06:14.240 --> 1:06:16.600
<v Speaker 11>the government was not kind of in the know and

1:06:17.000 --> 1:06:20.160
<v Speaker 11>regulating these things, and technology companies were able to run rampant.

1:06:20.360 --> 1:06:22.720
<v Speaker 11>How do you balance that because obviously that seemed to

1:06:22.760 --> 1:06:24.560
<v Speaker 11>be playing out at Opening IY with Sam Altman.

1:06:24.840 --> 1:06:26.640
<v Speaker 16>So the rate and pace of innovation today has no

1:06:26.840 --> 1:06:30.920
<v Speaker 16>historical precedent, So I think even looking at those examples, right,

1:06:31.000 --> 1:06:34.080
<v Speaker 16>it's different. Now, look at what has happened with chat

1:06:34.160 --> 1:06:37.040
<v Speaker 16>GPT in terms of adoption over the last year, Right,

1:06:37.360 --> 1:06:41.040
<v Speaker 16>there's nothing like it. So as you think about regulation

1:06:41.200 --> 1:06:43.280
<v Speaker 16>and oversight, you know, I go back to the same

1:06:43.800 --> 1:06:45.600
<v Speaker 16>core issue, which is that I don't think we're going

1:06:45.680 --> 1:06:48.919
<v Speaker 16>to get there without tech regulating tech, and that tech

1:06:49.000 --> 1:06:51.280
<v Speaker 16>needs to be open architecture, right, and it needs to

1:06:51.360 --> 1:06:53.480
<v Speaker 16>include the open source, and it needs to evolve the

1:06:53.520 --> 1:06:56.440
<v Speaker 16>way that these models are going to evolve or you know,

1:06:56.520 --> 1:06:57.680
<v Speaker 16>we could get in trouble, But.

1:06:57.800 --> 1:06:59.560
<v Speaker 6>Aren't you worried a little bit about open source getting

1:06:59.560 --> 1:07:00.400
<v Speaker 6>into the wrong hands?

1:07:01.280 --> 1:07:03.840
<v Speaker 16>There is a philosophical discussion to have around the role

1:07:03.880 --> 1:07:06.760
<v Speaker 16>of open source versus closed source and the relationship between

1:07:06.800 --> 1:07:09.000
<v Speaker 16>the two of them. There is power in the open

1:07:09.040 --> 1:07:13.560
<v Speaker 16>source and the community level of effort associated with the

1:07:13.640 --> 1:07:16.800
<v Speaker 16>oversight of that provides a scale that does not happen

1:07:17.000 --> 1:07:19.000
<v Speaker 16>when you have a closed source system with a tight

1:07:19.160 --> 1:07:19.880
<v Speaker 16>R and D budget.

1:07:20.600 --> 1:07:22.280
<v Speaker 15>I'm a promoter of the open source.

1:07:22.320 --> 1:07:24.240
<v Speaker 16>I think that we're finally getting to the place where

1:07:24.640 --> 1:07:27.160
<v Speaker 16>it's going to become a really relevant part of how

1:07:27.200 --> 1:07:29.960
<v Speaker 16>we operate as a society because of this pace of innovation,

1:07:30.520 --> 1:07:32.880
<v Speaker 16>but it doesn't come without the need to have guardrails.

1:07:33.000 --> 1:07:35.040
<v Speaker 6>Well, listen, this was a really cool conversation and I

1:07:35.120 --> 1:07:37.800
<v Speaker 6>hope you'll come back because guessing in twenty twenty four

1:07:37.880 --> 1:07:41.760
<v Speaker 6>will still be talking about generative AI AI and all

1:07:41.840 --> 1:07:44.400
<v Speaker 6>that it can do, because, as you said, we're really

1:07:44.480 --> 1:07:47.000
<v Speaker 6>kind of early on in this whole process. Thank you

1:07:47.120 --> 1:07:49.280
<v Speaker 6>so much. Have a great week in great holiday season.

1:07:49.360 --> 1:07:52.240
<v Speaker 6>Mandy Long, CEO and board member at Big Bear AI

1:07:52.360 --> 1:07:54.760
<v Speaker 6>Jennings on Zoom in Chicago. We covered a lot, but

1:07:54.840 --> 1:07:56.280
<v Speaker 6>I have like a million more questions.

1:07:56.320 --> 1:07:57.680
<v Speaker 11>I know, I wish we had two more blocks to

1:07:57.800 --> 1:07:59.160
<v Speaker 11>kind of really dig into other things.

1:07:59.280 --> 1:08:01.360
<v Speaker 6>We'll come back to have her back. Are folks, you

1:08:01.440 --> 1:08:04.640
<v Speaker 6>are listening and watching Bloomberg BusinessWeek right here on Bloomberg Radio.

1:08:05.360 --> 1:08:08.880
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:08:08.960 --> 1:08:12.320
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

1:08:12.200 --> 1:08:15.640
<v Speaker 8>On Bloomberg dot com, the iHeartRadio app, and the Bloomberg

1:08:15.720 --> 1:08:18.360
<v Speaker 8>Business app, or watch us live on YouTube.

1:08:19.360 --> 1:08:22.160
<v Speaker 2>So care well, pretty much through earning season, and like

1:08:22.280 --> 1:08:24.679
<v Speaker 2>last quarter one, theme has been clear. It was clear

1:08:24.760 --> 1:08:27.800
<v Speaker 2>today hefn with Mango DB's results. Right, Companies of all

1:08:27.840 --> 1:08:30.720
<v Speaker 2>stripes are embracing AI, and for good reason. Take Wall

1:08:30.760 --> 1:08:35.000
<v Speaker 2>Street for example, Banks using generative AI tools could boost

1:08:35.000 --> 1:08:36.840
<v Speaker 2>their earnings by as much as three hundred and forty

1:08:36.880 --> 1:08:40.320
<v Speaker 2>billion dollars annually through increased productivity. It's a nine to

1:08:40.520 --> 1:08:43.719
<v Speaker 2>fifteen percent increase in operating profits. That's according we should

1:08:43.760 --> 1:08:46.840
<v Speaker 2>knowe to a McKinsey Global Institute report that was published today.

1:08:46.920 --> 1:08:48.720
<v Speaker 2>We know they kind of want you to use AI

1:08:48.800 --> 1:08:49.799
<v Speaker 2>because then you'll hire.

1:08:49.680 --> 1:08:51.960
<v Speaker 6>Them consolutely say yeah, you can look back to day.

1:08:52.400 --> 1:08:53.840
<v Speaker 6>All right, We've got a great guest to give us

1:08:53.840 --> 1:08:55.840
<v Speaker 6>an idea though, of where companies are going to be

1:08:55.920 --> 1:08:58.599
<v Speaker 6>spending money when it comes to it in the new year.

1:08:58.760 --> 1:09:01.760
<v Speaker 6>Crawfordal pret back with, President of the global market intelligence

1:09:01.840 --> 1:09:06.920
<v Speaker 6>firm IDC International Data Corporation, also known as he joins

1:09:07.000 --> 1:09:10.000
<v Speaker 6>us here in our Bloomberg Interactive Broker studio at Bloomberg Headquarters.

1:09:10.040 --> 1:09:10.240
<v Speaker 7>Hello.

1:09:10.320 --> 1:09:11.800
<v Speaker 6>Hello, almost happy new year.

1:09:12.080 --> 1:09:14.080
<v Speaker 12>So great to see you guys, So great to have

1:09:14.240 --> 1:09:14.599
<v Speaker 12>you here.

1:09:14.800 --> 1:09:16.439
<v Speaker 6>How are you thinking about twenty twenty four?

1:09:16.960 --> 1:09:20.040
<v Speaker 12>So when we think about twenty twenty four, it's a

1:09:20.200 --> 1:09:24.240
<v Speaker 12>year of transition for tech twenty twenty three was a

1:09:24.360 --> 1:09:26.839
<v Speaker 12>year that people were extremely concerned about inflation.

1:09:26.880 --> 1:09:28.759
<v Speaker 2>They were extremely concerned about.

1:09:28.680 --> 1:09:31.560
<v Speaker 12>About the impact of inflation on tech. And at the

1:09:31.640 --> 1:09:34.679
<v Speaker 12>end of the day, we'll see tech spending around about

1:09:34.800 --> 1:09:38.840
<v Speaker 12>five percent, which continues the trend that tech is just

1:09:38.960 --> 1:09:41.640
<v Speaker 12>so core to what companies do for next year. This

1:09:41.840 --> 1:09:42.920
<v Speaker 12>five percent for twenty twenty three.

1:09:43.360 --> 1:09:46.200
<v Speaker 2>When you say tech spending, what is the umbrella that

1:09:46.320 --> 1:09:47.520
<v Speaker 2>that covers.

1:09:47.360 --> 1:09:51.640
<v Speaker 12>So think about information technology spending, so everything from devices

1:09:51.760 --> 1:09:55.120
<v Speaker 12>like personal compute devices, all the way through application software,

1:09:55.160 --> 1:09:56.920
<v Speaker 12>all the ways of the partner software, all of it.

1:09:57.080 --> 1:09:58.720
<v Speaker 2>And services, what about.

1:10:00.000 --> 1:10:04.879
<v Speaker 12>Cybersecurity services, securities in there, any any any it and professionals.

1:10:04.880 --> 1:10:08.000
<v Speaker 12>And this is across is across the world, It's across

1:10:08.080 --> 1:10:09.320
<v Speaker 12>it's across all regions.

1:10:09.360 --> 1:10:11.360
<v Speaker 2>I would think it'd be higher five percent a lot.

1:10:11.520 --> 1:10:15.280
<v Speaker 12>Yeah, So five percent we've seen we saw it ramp

1:10:15.400 --> 1:10:19.880
<v Speaker 12>up to double that during COVID when we saw things accelerate.

1:10:20.200 --> 1:10:22.400
<v Speaker 12>But you know, we've seen it bounce in that five

1:10:22.520 --> 1:10:25.760
<v Speaker 12>to eight percent range for It's been pretty range bound

1:10:25.840 --> 1:10:27.720
<v Speaker 12>for for quite some time. If you take out sort

1:10:27.760 --> 1:10:29.960
<v Speaker 12>of the two thousand and eight downturn, if you take

1:10:30.000 --> 1:10:31.639
<v Speaker 12>out the craziness that happened during COVID.

1:10:31.680 --> 1:10:33.680
<v Speaker 6>What kind of growth were we seeing prior to the

1:10:33.760 --> 1:10:35.120
<v Speaker 6>pandemic the year before.

1:10:35.600 --> 1:10:37.280
<v Speaker 12>So prior to the pandemic, like I said, you know,

1:10:37.360 --> 1:10:41.519
<v Speaker 12>we saw that in those years it was about seven percent. Yeah,

1:10:41.640 --> 1:10:43.400
<v Speaker 12>so it was kind of in that range.

1:10:43.439 --> 1:10:47.880
<v Speaker 2>Okay, why why isn't it higher? Why hasn't it grown

1:10:48.160 --> 1:10:50.559
<v Speaker 2>As we've become more reliant on.

1:10:51.240 --> 1:10:55.120
<v Speaker 12>Tech every company, the tech you think about is hot,

1:10:55.560 --> 1:10:58.040
<v Speaker 12>the new hot thing it's and that stuff is growing, right,

1:10:58.120 --> 1:11:02.000
<v Speaker 12>So application software ten percent and we've seen you think

1:11:02.040 --> 1:11:06.000
<v Speaker 12>you think about the cloud thirty percent growth now cooling to.

1:11:06.160 --> 1:11:09.360
<v Speaker 2>So companies are spending less on let's say, a PC

1:11:09.640 --> 1:11:11.880
<v Speaker 2>for every person because they've come down in price. These

1:11:11.920 --> 1:11:15.599
<v Speaker 2>are commodities, and they're spending more on the cybersecurity stuff

1:11:15.640 --> 1:11:16.320
<v Speaker 2>that keeps there.

1:11:16.400 --> 1:11:17.640
<v Speaker 3>So it's actually worse than that.

1:11:18.080 --> 1:11:20.320
<v Speaker 12>If you look at something like twenty twenty three, it

1:11:20.600 --> 1:11:23.759
<v Speaker 12>spending growth in PCs got shalacked. It was down fifteen

1:11:23.960 --> 1:11:27.800
<v Speaker 12>fourteen percent, it was down dramatically. Now PCs are actually

1:11:27.880 --> 1:11:30.120
<v Speaker 12>a thing that moved the needle because every man, woman

1:11:30.240 --> 1:11:33.000
<v Speaker 12>and child needs a PC who needs to be connected

1:11:33.000 --> 1:11:35.439
<v Speaker 12>to the internet, and they spend somewhere between eight to

1:11:36.120 --> 1:11:38.679
<v Speaker 12>twelve hundred dollars on a PC. So as PCs start

1:11:38.720 --> 1:11:41.000
<v Speaker 12>to come back, which we think that they will next year,

1:11:41.200 --> 1:11:44.040
<v Speaker 12>they actually move the needle on it demand. It's not

1:11:44.120 --> 1:11:46.800
<v Speaker 12>uncommon to see them move the needle a couple percentage points.

1:11:46.880 --> 1:11:48.160
<v Speaker 6>Why are they coming back next year?

1:11:48.240 --> 1:11:50.040
<v Speaker 12>They're coming back next year because there's because we saw

1:11:50.160 --> 1:11:54.720
<v Speaker 12>this huge increase during the pandemic, and they start to

1:11:54.760 --> 1:11:56.559
<v Speaker 12>get old, and they start to age and they break

1:11:56.640 --> 1:11:59.960
<v Speaker 12>and people need to start replacing them as well. They'll

1:12:00.120 --> 1:12:04.000
<v Speaker 12>be a Windows eleven upgrade cycle next year, and we'll

1:12:04.080 --> 1:12:08.600
<v Speaker 12>start to see new PCs that actually bring wait for it,

1:12:08.800 --> 1:12:12.400
<v Speaker 12>AI out to the edge, so you see a coprocessor

1:12:12.680 --> 1:12:15.080
<v Speaker 12>which we'll be able to run the AI workloads, and

1:12:15.120 --> 1:12:17.519
<v Speaker 12>we think that will start to fuel by the middle

1:12:17.520 --> 1:12:19.360
<v Speaker 12>of next year another upgrade cycle.

1:12:19.800 --> 1:12:23.599
<v Speaker 6>I am curious because you guys consult you talk with clients.

1:12:24.160 --> 1:12:28.120
<v Speaker 6>What's the constructive conversation to be having around AI right now?

1:12:28.360 --> 1:12:30.160
<v Speaker 6>What are you hearing from those clients.

1:12:30.640 --> 1:12:33.120
<v Speaker 12>I think what customers are starting to get into now

1:12:33.479 --> 1:12:37.120
<v Speaker 12>are what is we're sort of beyond kind of the

1:12:37.479 --> 1:12:40.320
<v Speaker 12>big mind art of the possible, and we're now getting

1:12:40.360 --> 1:12:43.639
<v Speaker 12>into how can I actually apply AI to my business

1:12:43.720 --> 1:12:47.280
<v Speaker 12>and what are the barriers associated with AI. So a

1:12:47.360 --> 1:12:50.120
<v Speaker 12>lot of the axioms that have always applied to tech

1:12:50.280 --> 1:12:53.200
<v Speaker 12>apply here, which is, you know, things like garbage in,

1:12:53.360 --> 1:12:56.439
<v Speaker 12>garbage out. You've got to get your data organized. You've

1:12:56.479 --> 1:12:59.920
<v Speaker 12>got to understand how to structure your data in order

1:12:59.920 --> 1:13:02.200
<v Speaker 12>to make sense and in order to be able to

1:13:02.240 --> 1:13:05.760
<v Speaker 12>synthesize your data in order to make better decisions with

1:13:05.880 --> 1:13:08.599
<v Speaker 12>your data. And so we're spending a lot of time

1:13:08.680 --> 1:13:11.439
<v Speaker 12>talking with customers around the choices they make around their data,

1:13:11.600 --> 1:13:13.760
<v Speaker 12>how they invest in their data, and how they can

1:13:14.400 --> 1:13:17.120
<v Speaker 12>really think about structuring it for a world where they're

1:13:17.120 --> 1:13:20.920
<v Speaker 12>going to be making decisions that they're potentially synthesizing and

1:13:20.960 --> 1:13:23.479
<v Speaker 12>getting output from AI.

1:13:24.120 --> 1:13:27.280
<v Speaker 2>You know, Carol knows this. I've been completely obsessed with

1:13:27.479 --> 1:13:29.280
<v Speaker 2>the sort of two different schools of thought when it

1:13:29.360 --> 1:13:33.280
<v Speaker 2>comes to development of artificial general intelligence AGI, especially in

1:13:33.280 --> 1:13:36.679
<v Speaker 2>the wake of everything that happened at Open AI, Sam Wellman,

1:13:36.720 --> 1:13:40.160
<v Speaker 2>you came on and spoke yes during that crisis, I

1:13:40.200 --> 1:13:41.799
<v Speaker 2>don't know if I could call it a crisis. Actually,

1:13:41.880 --> 1:13:45.000
<v Speaker 2>during the drama, let's call it drama. The thing, Yeah,

1:13:45.800 --> 1:13:49.479
<v Speaker 2>are you you spend you know, you're in this day

1:13:49.560 --> 1:13:53.520
<v Speaker 2>in and day out. Is there any sort of reality

1:13:53.640 --> 1:13:59.000
<v Speaker 2>to the idea that artificial general intelligence is something we

1:13:59.360 --> 1:14:02.360
<v Speaker 2>as a human species should be concerned about?

1:14:03.439 --> 1:14:03.519
<v Speaker 16>Oh?

1:14:03.600 --> 1:14:08.600
<v Speaker 12>Absolutely there is. It's going to take a while for

1:14:08.800 --> 1:14:10.800
<v Speaker 12>us to get to that point. And I think that

1:14:11.400 --> 1:14:14.520
<v Speaker 12>seeing companies start to come together and have a discussion

1:14:14.760 --> 1:14:18.400
<v Speaker 12>around the responsibility and not necessarily doing it after the

1:14:18.439 --> 1:14:22.400
<v Speaker 12>horses have left the proverbial barn is very very important.

1:14:22.479 --> 1:14:25.640
<v Speaker 12>I think we're starting to be able to elevate that

1:14:25.880 --> 1:14:30.479
<v Speaker 12>but that that discussion. But I definitely believe that the

1:14:30.600 --> 1:14:35.599
<v Speaker 12>ability to do harm and the ability to spin people

1:14:35.720 --> 1:14:38.439
<v Speaker 12>up with misinformation, those are things you can just start

1:14:38.520 --> 1:14:41.120
<v Speaker 12>to see on the horizon where we really have to

1:14:41.160 --> 1:14:44.280
<v Speaker 12>think about what is the provenance of that decision or

1:14:44.640 --> 1:14:46.479
<v Speaker 12>of that data. And I think we're going to see

1:14:46.479 --> 1:14:47.519
<v Speaker 12>a lot of that. I think we're going to see

1:14:47.520 --> 1:14:51.120
<v Speaker 12>governments start to require Okay, you've you've been told something,

1:14:51.200 --> 1:14:52.800
<v Speaker 12>but what was the source of that? Where did that

1:14:52.920 --> 1:14:54.040
<v Speaker 12>information come from?

1:14:54.120 --> 1:14:57.200
<v Speaker 6>So much journalism a little bit, no, no, I mean

1:14:57.240 --> 1:14:58.679
<v Speaker 6>a lot of it. Like I used to think about

1:14:58.720 --> 1:15:01.200
<v Speaker 6>when I started, you know this, you had to know

1:15:02.000 --> 1:15:04.360
<v Speaker 6>what the source of the material was right, and whether

1:15:04.400 --> 1:15:06.759
<v Speaker 6>it was a perspective or point of view, so subjective

1:15:06.840 --> 1:15:10.000
<v Speaker 6>versus objective or data points who supplied it. So it's

1:15:10.080 --> 1:15:13.360
<v Speaker 6>kind of interesting to hear you say that, but I

1:15:13.479 --> 1:15:17.360
<v Speaker 6>do wonder what's it going to take Crawford. Are we

1:15:17.479 --> 1:15:19.120
<v Speaker 6>going to be kind of chasing just like we were

1:15:19.200 --> 1:15:21.120
<v Speaker 6>in social media? Like social media?

1:15:21.240 --> 1:15:21.320
<v Speaker 10>Right?

1:15:21.360 --> 1:15:22.160
<v Speaker 3>Where's the yes?

1:15:22.360 --> 1:15:25.639
<v Speaker 12>Sadly, I think companies are going to try to get

1:15:25.640 --> 1:15:27.479
<v Speaker 12>ahead of this. I think governments are going to try

1:15:27.479 --> 1:15:29.600
<v Speaker 12>to get ahead of it, but we are going to

1:15:29.640 --> 1:15:31.479
<v Speaker 12>be chasing it for a long time. I mean, what

1:15:31.760 --> 1:15:36.800
<v Speaker 12>happens when someone can apply AI to a social engineering

1:15:37.920 --> 1:15:40.280
<v Speaker 12>piece of ransomware that works really really well, and I'd

1:15:40.360 --> 1:15:43.320
<v Speaker 12>like to have thirty by tomorrow morning. What happens when

1:15:43.720 --> 1:15:45.960
<v Speaker 12>when someone can say, oh, you know what, if I

1:15:46.080 --> 1:15:51.080
<v Speaker 12>alter the code of that genome, I can create a

1:15:51.200 --> 1:15:53.519
<v Speaker 12>new kind of a virus, and I'd like ten thousand

1:15:53.640 --> 1:15:57.760
<v Speaker 12>by tomorrow. These are the really horrible things that people

1:15:57.960 --> 1:16:02.840
<v Speaker 12>could do with generative AI. To really think about setting

1:16:02.960 --> 1:16:07.439
<v Speaker 12>loose a new generation of malware in a way we're

1:16:07.439 --> 1:16:09.120
<v Speaker 12>not really thinking about chasing.

1:16:09.160 --> 1:16:11.639
<v Speaker 2>But each example that you bring up has a person

1:16:11.760 --> 1:16:14.400
<v Speaker 2>behind it making a decision to actually do that. Yeah,

1:16:15.200 --> 1:16:21.479
<v Speaker 2>what about that science fiction scenario where literally the robots

1:16:21.520 --> 1:16:24.320
<v Speaker 2>become more powerful than us because they can think, because

1:16:24.360 --> 1:16:25.040
<v Speaker 2>they can reason.

1:16:26.360 --> 1:16:31.760
<v Speaker 12>So when you start to get to broad agi, if

1:16:31.800 --> 1:16:35.719
<v Speaker 12>you will, that is a risk where when you're dealing

1:16:35.800 --> 1:16:40.679
<v Speaker 12>with massive amounts of information and the machine starts deciding

1:16:41.120 --> 1:16:45.000
<v Speaker 12>what's right and what's wrong, then you're into that zone

1:16:45.280 --> 1:16:47.679
<v Speaker 12>and you're into that zone of wait, wait a minute,

1:16:47.720 --> 1:16:50.160
<v Speaker 12>what do you mean my credentials don't work because now

1:16:50.240 --> 1:16:52.080
<v Speaker 12>I've been decided that I'm a person who shouldn't be

1:16:52.120 --> 1:16:55.160
<v Speaker 12>included in this place, in the airport, on the plane,

1:16:55.360 --> 1:16:58.759
<v Speaker 12>in some safe place. Make up your science fiction scenario.

1:16:59.000 --> 1:17:01.920
<v Speaker 12>But when you start dealing with huge volumes information and

1:17:02.000 --> 1:17:06.000
<v Speaker 12>instante instantaneously making those kinds of decisions, things get a

1:17:06.080 --> 1:17:07.439
<v Speaker 12>little bit dodgy, isn't.

1:17:07.280 --> 1:17:10.080
<v Speaker 6>It kind of sort of the problem with self driving cars? Right,

1:17:11.000 --> 1:17:14.599
<v Speaker 6>dog on the right, woman with a stroller on the left. Actually,

1:17:14.640 --> 1:17:17.840
<v Speaker 6>how does it determine and someone it's going to hit something? Right?

1:17:18.200 --> 1:17:19.400
<v Speaker 6>How does it make that decision right?

1:17:19.439 --> 1:17:21.680
<v Speaker 12>And so someone has to write that code and get

1:17:21.720 --> 1:17:24.720
<v Speaker 12>to a point where that decision can be made. But

1:17:25.080 --> 1:17:28.800
<v Speaker 12>eventually there's a set of parameters and rules associated with

1:17:28.840 --> 1:17:30.519
<v Speaker 12>decisions like that, and the machine has to decide.

1:17:30.520 --> 1:17:34.200
<v Speaker 6>Are you worried because of warfare? I'm sorry military warfare, of.

1:17:34.240 --> 1:17:36.400
<v Speaker 12>Course, Yeah, I mean absolutely. I mean these are the

1:17:36.479 --> 1:17:39.080
<v Speaker 12>kinds of things that that bad actors can capitalize on,

1:17:39.200 --> 1:17:41.280
<v Speaker 12>and bad actors sometimes get aggregated and it becomes a

1:17:41.600 --> 1:17:42.040
<v Speaker 12>bad nation.

1:17:42.120 --> 1:17:43.400
<v Speaker 6>Think of the Jones story that we did.

1:17:43.720 --> 1:17:45.080
<v Speaker 2>I know, and you know, I go back to the

1:17:45.120 --> 1:17:48.160
<v Speaker 2>Elon Musk conversation that he had at the Deal Book

1:17:48.200 --> 1:17:50.519
<v Speaker 2>summit of the New York Times last week. He said that,

1:17:51.000 --> 1:17:53.240
<v Speaker 2>you know, the government doesn't allow you to build a

1:17:53.320 --> 1:17:55.360
<v Speaker 2>nuclear weapon in your backyard. There are grand rolls and

1:17:55.439 --> 1:17:59.920
<v Speaker 2>rules and regulations. He thinks this is more dangerous than

1:18:00.160 --> 1:18:00.960
<v Speaker 2>a nuclear weapon.

1:18:01.760 --> 1:18:05.320
<v Speaker 12>Yeah, And I think he's jumping ahead a number of steps.

1:18:05.400 --> 1:18:08.080
<v Speaker 12>But I think if you walk back from that putting

1:18:08.520 --> 1:18:11.160
<v Speaker 12>the bullets in one hand and the gun in the other,

1:18:11.439 --> 1:18:13.200
<v Speaker 12>and being able to say, Okay, I'm going to give

1:18:13.200 --> 1:18:16.719
<v Speaker 12>you the tools to load those together and eventually start shooting,

1:18:17.600 --> 1:18:20.559
<v Speaker 12>he's not completely wrong in terms of where you can draw.

1:18:20.760 --> 1:18:21.280
<v Speaker 10>The line to.

1:18:21.520 --> 1:18:24.800
<v Speaker 12>And so I agree that we have to be really

1:18:25.000 --> 1:18:31.240
<v Speaker 12>mindful as governments to think about not letting these circumstances happen,

1:18:31.720 --> 1:18:34.360
<v Speaker 12>and unfortunately, Carol, I'll take the conversation back to something

1:18:34.400 --> 1:18:35.920
<v Speaker 12>that you asked, which is are we going to be

1:18:35.960 --> 1:18:38.080
<v Speaker 12>playing catch up? And I think the answer is, more

1:18:38.200 --> 1:18:40.000
<v Speaker 12>often than not, we are going to be playing catch

1:18:40.040 --> 1:18:43.200
<v Speaker 12>up because the number of situations and the number of

1:18:43.560 --> 1:18:47.760
<v Speaker 12>instances is just so vast and we just don't know

1:18:48.960 --> 1:18:51.160
<v Speaker 12>how why that spectrum can get.

1:18:51.479 --> 1:18:54.439
<v Speaker 6>Do you think the good will outweigh the concern?

1:18:54.560 --> 1:18:57.040
<v Speaker 12>Okay? I believe we are going to go through a

1:18:57.200 --> 1:19:02.240
<v Speaker 12>very very difficult period where work and jobs get redefined,

1:19:02.320 --> 1:19:03.800
<v Speaker 12>and there are a lot of roles and a lot

1:19:03.840 --> 1:19:06.160
<v Speaker 12>of jobs that are going to be threatened by AI.

1:19:06.640 --> 1:19:09.200
<v Speaker 12>Think about the legal profession, think about pair ofalegals, think

1:19:09.240 --> 1:19:12.000
<v Speaker 12>about accountants, think about those kinds of areas. We will

1:19:12.040 --> 1:19:15.879
<v Speaker 12>then invent new jobs that can stand on the shoulders

1:19:15.920 --> 1:19:18.400
<v Speaker 12>of AI, and people will be reskilled and we will

1:19:18.880 --> 1:19:20.200
<v Speaker 12>that will be a great time.

1:19:20.360 --> 1:19:22.519
<v Speaker 6>Who created Way as our co founder, he was kind

1:19:22.560 --> 1:19:23.679
<v Speaker 6>of saying as very similar.

1:19:23.680 --> 1:19:27.000
<v Speaker 12>Absolutely, if there's going to be a period of pain

1:19:27.120 --> 1:19:29.960
<v Speaker 12>associated with AI, that will I think lead to a

1:19:30.000 --> 1:19:31.040
<v Speaker 12>period of tremendous growth.

1:19:31.120 --> 1:19:34.200
<v Speaker 6>But there's also responsibility that comes along with any technology.

1:19:35.000 --> 1:19:37.719
<v Speaker 6>Happy New Year, bewhile proffer del Pratt IDC.

1:19:37.960 --> 1:19:38.600
<v Speaker 15>Thank you, thank you.

1:19:43.880 --> 1:19:47.400
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

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1:20:03.320 --> 1:20:05.600
<v Speaker 6>So excited about our next guest. So much going on,

1:20:05.720 --> 1:20:08.320
<v Speaker 6>as you know, at the intersection of sports, money and education,

1:20:08.400 --> 1:20:10.160
<v Speaker 6>which is why this next story we're going to kind

1:20:10.160 --> 1:20:12.560
<v Speaker 6>of start here is on our radar. It's courtesy of

1:20:12.600 --> 1:20:16.400
<v Speaker 6>Bloomberg'sjillian ten. She reported last week on Patrick Coff Company,

1:20:16.439 --> 1:20:19.320
<v Speaker 6>which works with athletes and entrepreneurs to invest in private equity.

1:20:20.240 --> 1:20:22.360
<v Speaker 6>The company, along with more than fifty of its current

1:20:22.600 --> 1:20:26.679
<v Speaker 6>and former athlete clients, including Philadelphia Eagles center Jason Kelsey.

1:20:26.960 --> 1:20:31.719
<v Speaker 6>And I've heard that name, okay, Jason Swift.

1:20:31.800 --> 1:20:34.519
<v Speaker 14>Oh wait wait? Can I say that cool? That's the

1:20:34.600 --> 1:20:34.960
<v Speaker 14>cool one.

1:20:35.560 --> 1:20:37.639
<v Speaker 6>You are hearing the voice of Mark Patrick Coff, founder

1:20:37.640 --> 1:20:39.479
<v Speaker 6>and CEO of Patrick Cough Company. Joenning us here in

1:20:39.520 --> 1:20:42.559
<v Speaker 6>her Bloomberg Interactive Broker Studio. Just you know, you're here

1:20:42.600 --> 1:20:44.760
<v Speaker 6>for the next sixty minutes. No, I'm just next time.

1:20:44.800 --> 1:20:47.040
<v Speaker 6>You're going to be here for the next are you.

1:20:48.840 --> 1:20:51.560
<v Speaker 14>Well, we love an opt in choice, not you have

1:20:51.640 --> 1:20:52.639
<v Speaker 14>to go do this choice.

1:20:53.160 --> 1:20:54.840
<v Speaker 6>Well, we love having you. First of all, tell us

1:20:54.840 --> 1:20:58.160
<v Speaker 6>about this deal. I am G academy. I wasn't that familiar.

1:20:59.200 --> 1:21:00.840
<v Speaker 6>Did kind of a deep but tell me what you

1:21:00.840 --> 1:21:01.320
<v Speaker 6>guys are doing.

1:21:01.439 --> 1:21:04.200
<v Speaker 14>But you loved tennis though years ago I loved gymnastics

1:21:04.880 --> 1:21:07.439
<v Speaker 14>was a little bit less. But with relevant IMG they

1:21:07.479 --> 1:21:08.240
<v Speaker 14>haveppened gymnastics.

1:21:08.320 --> 1:21:10.120
<v Speaker 17>But I remember when I was in high school, I

1:21:10.160 --> 1:21:12.000
<v Speaker 17>had friends who, if they were really good tennis players,

1:21:12.040 --> 1:21:13.760
<v Speaker 17>all they wanted to do was go to Nick Boltary

1:21:14.360 --> 1:21:14.960
<v Speaker 17>in Tampa.

1:21:15.320 --> 1:21:18.400
<v Speaker 14>And that is IMG Academy, by the way. So that evolved.

1:21:18.920 --> 1:21:24.200
<v Speaker 14>Ultimately IMG acquired voluntary changed the name, and it's always

1:21:24.240 --> 1:21:27.839
<v Speaker 14>been the pre eminent place for in some cases privilege.

1:21:27.920 --> 1:21:30.920
<v Speaker 14>But as it's changed for under privilege.

1:21:30.560 --> 1:21:31.920
<v Speaker 2>I mean, I guess he didn't I guess he didn't

1:21:31.920 --> 1:21:32.360
<v Speaker 2>pay a time to.

1:21:32.400 --> 1:21:35.840
<v Speaker 14>Yeah, exactly. So, so on one hand, you kind of

1:21:35.920 --> 1:21:36.479
<v Speaker 14>knew the brand.

1:21:36.640 --> 1:21:39.559
<v Speaker 17>I did a lot of investment banking work for IMG

1:21:39.840 --> 1:21:43.240
<v Speaker 17>when they were an independent agency. When Endeavor bought them.

1:21:43.320 --> 1:21:46.960
<v Speaker 17>I stayed in close touch with IMG Mumbatala invested.

1:21:46.800 --> 1:21:47.280
<v Speaker 14>At the time.

1:21:47.360 --> 1:21:50.760
<v Speaker 17>I was involved in that transaction and one of the

1:21:50.840 --> 1:21:53.120
<v Speaker 17>heads of the head of corp David and devver Got

1:21:53.200 --> 1:21:54.880
<v Speaker 17>named Brent Richard, who was an old friend of mine.

1:21:54.920 --> 1:21:56.400
<v Speaker 17>We've been on the opposite side of a couple of

1:21:56.439 --> 1:22:00.599
<v Speaker 17>different banking deals. Ended up as part of his role

1:22:00.680 --> 1:22:03.600
<v Speaker 17>and endeavor taking over this acquisition they had done with

1:22:03.760 --> 1:22:06.479
<v Speaker 17>IMG and focusing on the academy and seeing a really

1:22:06.479 --> 1:22:11.839
<v Speaker 17>big vision for for private education, democratizing I think access

1:22:11.880 --> 1:22:12.839
<v Speaker 17>to the best coaching.

1:22:13.800 --> 1:22:15.559
<v Speaker 2>Well, yeah, I just wanted to jump in just because

1:22:16.360 --> 1:22:18.920
<v Speaker 2>when you talk Politaria, I did. It's funny we did

1:22:18.920 --> 1:22:21.000
<v Speaker 2>the US Open this year, got super into tennis again.

1:22:21.120 --> 1:22:24.200
<v Speaker 2>Read Agasy's book. He talks about his experience at Politary.

1:22:24.479 --> 1:22:26.920
<v Speaker 2>One thing that he made hate, Oh yeah, more hate

1:22:26.960 --> 1:22:31.479
<v Speaker 2>than love for sure. Actually it's totally worth and Politary

1:22:31.520 --> 1:22:34.160
<v Speaker 2>for years was his coach. But one thing that he

1:22:34.200 --> 1:22:37.760
<v Speaker 2>talked about was academics and and that's that's you know,

1:22:37.840 --> 1:22:40.760
<v Speaker 2>in my experience too with growing up in California and

1:22:40.800 --> 1:22:44.960
<v Speaker 2>seeing other tennis academies, the tennis was great, academics were lacking.

1:22:45.080 --> 1:22:45.920
<v Speaker 2>Talk to me a little bit.

1:22:45.840 --> 1:22:49.160
<v Speaker 17>About Yeah, I will I'm sorry to interrupt you. I

1:22:49.200 --> 1:22:50.920
<v Speaker 17>will do a little plug here, but it'll make sense

1:22:50.920 --> 1:22:52.800
<v Speaker 17>for a second. I've been the chairman of the board

1:22:52.800 --> 1:22:54.639
<v Speaker 17>of a charity in New York called New Heights Youth

1:22:54.840 --> 1:22:59.040
<v Speaker 17>and it's a basketball related charity. But we use academics

1:23:00.120 --> 1:23:02.000
<v Speaker 17>as a benefit for getting good coaching.

1:23:02.080 --> 1:23:03.439
<v Speaker 14>So we've sort of said, look, if you can.

1:23:03.360 --> 1:23:06.320
<v Speaker 17>Be part of a team, if you can consistently commit

1:23:06.479 --> 1:23:08.200
<v Speaker 17>to what's required beyond a team, you can do the

1:23:08.240 --> 1:23:09.200
<v Speaker 17>same thing in the classroom.

1:23:09.479 --> 1:23:11.320
<v Speaker 14>So if you want our coaching, we're going to give you.

1:23:11.560 --> 1:23:15.320
<v Speaker 17>We're going to force you into after school programs, SAT prep, college,

1:23:15.400 --> 1:23:19.840
<v Speaker 17>you know, admissions process, you know help. So IMG has

1:23:19.880 --> 1:23:21.560
<v Speaker 17>done that at a much greater scale in the for

1:23:21.720 --> 1:23:26.280
<v Speaker 17>profit ways. So, yes, academics is a story here today.

1:23:26.960 --> 1:23:29.920
<v Speaker 17>Athletics is what has always been what people talked about,

1:23:30.400 --> 1:23:32.599
<v Speaker 17>but it's the combination of the two that is really

1:23:33.000 --> 1:23:36.560
<v Speaker 17>what's interesting here. So using sports as a hook to

1:23:36.680 --> 1:23:41.040
<v Speaker 17>bring in kids either underprivileged or privileged, put them into

1:23:41.080 --> 1:23:44.000
<v Speaker 17>the right types of programs to professionalize in their minds,

1:23:44.439 --> 1:23:46.600
<v Speaker 17>how they take advantage of this physical skill they have

1:23:47.760 --> 1:23:50.679
<v Speaker 17>off the court, off the field, and to have better, bigger,

1:23:50.840 --> 1:23:53.320
<v Speaker 17>more fulfilling lives because of it. And there's proof points

1:23:53.680 --> 1:23:58.240
<v Speaker 17>across the globe. So when IMG sold you know itself,

1:23:58.960 --> 1:24:04.599
<v Speaker 17>Endeavor sold IMG Academy at EQT, the and NOORDA and GLA,

1:24:04.880 --> 1:24:09.360
<v Speaker 17>the opportunity was here to globalize a really interesting methodology

1:24:09.439 --> 1:24:12.240
<v Speaker 17>that has changed people's lives for many, many years.

1:24:12.680 --> 1:24:13.920
<v Speaker 14>And Andre is a good example.

1:24:14.240 --> 1:24:17.240
<v Speaker 17>He probably wouldn't be the Andre Weovius Williams in the

1:24:17.320 --> 1:24:20.759
<v Speaker 17>long list of people who have created discipline their lives,

1:24:20.920 --> 1:24:23.519
<v Speaker 17>learned how to exercise one muscle. If they can do

1:24:23.600 --> 1:24:26.280
<v Speaker 17>that successfully, realize they can exercise their intellectual muscles too.

1:24:26.439 --> 1:24:29.439
<v Speaker 17>And IMG is a really phenomenal, i think academic process

1:24:29.520 --> 1:24:29.840
<v Speaker 17>to do that.

1:24:30.000 --> 1:24:31.800
<v Speaker 6>And the asception isn't that everybody's going to become this

1:24:31.880 --> 1:24:32.960
<v Speaker 6>big professional play.

1:24:33.160 --> 1:24:35.400
<v Speaker 14>It's very few make it to the kind of like.

1:24:35.439 --> 1:24:38.479
<v Speaker 6>A great finishing boarding school, right of course.

1:24:38.560 --> 1:24:40.200
<v Speaker 17>I mean it's one way of looking at I mean

1:24:40.880 --> 1:24:43.599
<v Speaker 17>at New Heights IMG two. If five percent of these

1:24:43.680 --> 1:24:47.799
<v Speaker 17>kids go and play some level professional sports. Remember professional sports,

1:24:47.880 --> 1:24:49.719
<v Speaker 17>you know, take basketball isn't just the NBA.

1:24:49.840 --> 1:24:52.160
<v Speaker 14>There's leagues in Italy and.

1:24:52.240 --> 1:24:56.120
<v Speaker 17>France and Greece and Israel and many other places Brazil,

1:24:56.360 --> 1:24:58.280
<v Speaker 17>great players coming from all over the world. Now, So

1:24:58.640 --> 1:25:01.040
<v Speaker 17>that's the other opportunity here with I Academy and why

1:25:01.120 --> 1:25:03.360
<v Speaker 17>they chose EQT and why we could be helpful is

1:25:03.600 --> 1:25:05.280
<v Speaker 17>there's a real opportunity to globalize this.

1:25:05.880 --> 1:25:08.840
<v Speaker 6>You know, speaking of globalization, there's so many places I

1:25:08.920 --> 1:25:12.200
<v Speaker 6>want to go with you, PGA and live they're supposed to.

1:25:12.400 --> 1:25:14.040
<v Speaker 6>I think there's a deadline at the end of this

1:25:14.120 --> 1:25:15.040
<v Speaker 6>year for this merger.

1:25:15.520 --> 1:25:17.280
<v Speaker 14>I think we talked about it this spring as if

1:25:17.320 --> 1:25:18.360
<v Speaker 14>it was a done deal already.

1:25:18.760 --> 1:25:22.479
<v Speaker 6>It's coming or it's expected to. What do you think

1:25:22.520 --> 1:25:23.120
<v Speaker 6>happens next?

1:25:23.960 --> 1:25:26.040
<v Speaker 14>You know, I don't know. I mean it's very hard

1:25:26.120 --> 1:25:28.520
<v Speaker 14>to say. I think it's this is a good thing absolutely.

1:25:29.320 --> 1:25:34.320
<v Speaker 17>Look, I think anytime people have an opportunity to be

1:25:34.520 --> 1:25:36.320
<v Speaker 17>paid fairly for their talent.

1:25:37.680 --> 1:25:38.280
<v Speaker 14>Is a good thing.

1:25:38.520 --> 1:25:43.040
<v Speaker 17>So if it's one league, clearly you know that caps

1:25:43.080 --> 1:25:46.040
<v Speaker 17>to some extent what someone can make. I think competition

1:25:46.320 --> 1:25:48.720
<v Speaker 17>ultimately is a good thing. I think the way it's

1:25:48.760 --> 1:25:51.000
<v Speaker 17>been managed has been quite poor.

1:25:51.600 --> 1:25:55.200
<v Speaker 14>I'm really pretty certain that the JP Morgan's of the

1:25:55.280 --> 1:25:57.639
<v Speaker 14>world who happened on you know here just in full

1:25:57.680 --> 1:25:59.240
<v Speaker 14>disclosure of twenty percent of my business.

1:25:59.120 --> 1:26:01.160
<v Speaker 17>Yeah, but who are the bigges sponsors of the US Open,

1:26:01.200 --> 1:26:03.880
<v Speaker 17>for example, I'm sure they were, And by the way,

1:26:04.360 --> 1:26:07.960
<v Speaker 17>the Masters and other things like that, I'm sure they'd

1:26:07.960 --> 1:26:10.960
<v Speaker 17>allowed voice when this fell upon us in the spring. So,

1:26:11.520 --> 1:26:13.479
<v Speaker 17>you know, I think it's a good thing if it helps,

1:26:13.600 --> 1:26:16.920
<v Speaker 17>you know, you know, democratize golf, so more people play golf,

1:26:17.000 --> 1:26:20.120
<v Speaker 17>more people see golf, more people attend golf tournaments. I

1:26:20.160 --> 1:26:22.080
<v Speaker 17>mean it's been for the privileged few who get to

1:26:22.280 --> 1:26:25.160
<v Speaker 17>go to see the Masters or go, you know, watch

1:26:25.240 --> 1:26:26.160
<v Speaker 17>any of these tournaments.

1:26:26.240 --> 1:26:27.960
<v Speaker 14>And I hope something good comes of it.

1:26:28.040 --> 1:26:30.960
<v Speaker 17>I mean, I think TQL is interesting, which is the

1:26:31.120 --> 1:26:33.679
<v Speaker 17>new Indoor League right, see if that that got Scott delayed,

1:26:34.160 --> 1:26:36.640
<v Speaker 17>you know, it's it's an interesting way to take a

1:26:36.720 --> 1:26:39.200
<v Speaker 17>sport that's been for very few people who could afford it.

1:26:39.720 --> 1:26:44.040
<v Speaker 17>So if LIVE and PG come together, you have to

1:26:44.080 --> 1:26:44.920
<v Speaker 17>see what that means.

1:26:45.120 --> 1:26:45.439
<v Speaker 14>TBD.

1:26:45.840 --> 1:26:47.920
<v Speaker 6>Yeah, Hey, listen, we've only got a couple of minutes,

1:26:48.120 --> 1:26:50.360
<v Speaker 6>so you've got to already promise to come back really soon.

1:26:51.000 --> 1:26:55.439
<v Speaker 6>But two minutes. The world's pretty stressful, to say the least.

1:26:56.600 --> 1:26:58.960
<v Speaker 6>And who'd have thought, like just kind of this year,

1:26:59.640 --> 1:27:04.000
<v Speaker 6>the stuff that we were talking about seeing living athletes,

1:27:04.200 --> 1:27:06.120
<v Speaker 6>what's their role in all of this? And we're getting

1:27:06.160 --> 1:27:09.360
<v Speaker 6>ready for a really important presidential election in the United States,

1:27:09.439 --> 1:27:12.000
<v Speaker 6>what's their role or should be their role? Where you

1:27:12.160 --> 1:27:14.560
<v Speaker 6>know it can backfire in an instant.

1:27:14.720 --> 1:27:15.080
<v Speaker 3>Used to be.

1:27:15.280 --> 1:27:17.880
<v Speaker 17>I think in the locker rooms of the old days,

1:27:17.920 --> 1:27:22.080
<v Speaker 17>you didn't talk about money, you didn't talk about sex,

1:27:22.160 --> 1:27:25.360
<v Speaker 17>and you didn't talk about politics. I think in the

1:27:25.479 --> 1:27:31.000
<v Speaker 17>last cycle of professional sports, where these kids are seeing

1:27:31.080 --> 1:27:33.439
<v Speaker 17>the world in a very different way, they're learning more

1:27:33.840 --> 1:27:36.280
<v Speaker 17>by accident or intentionally at a much younger age.

1:27:36.400 --> 1:27:39.879
<v Speaker 14>They are forming opinions, they're realizing the power of their brains.

1:27:40.080 --> 1:27:43.960
<v Speaker 17>Back to IMG Academy and I speak to athletes most

1:27:44.000 --> 1:27:45.120
<v Speaker 17>cases seven days a week.

1:27:45.560 --> 1:27:47.320
<v Speaker 14>They'll bring up, what do you think is going to

1:27:47.360 --> 1:27:50.680
<v Speaker 14>happen next November? I don't like this candidate, I do

1:27:50.880 --> 1:27:52.120
<v Speaker 14>like that candidate.

1:27:52.240 --> 1:27:55.040
<v Speaker 17>And they're starting to understand that if they decide to

1:27:55.080 --> 1:27:57.920
<v Speaker 17>amplify a point of view that's well informed, that could

1:27:57.920 --> 1:28:00.960
<v Speaker 17>be influential. I mean not to make it about diversity,

1:28:01.080 --> 1:28:04.639
<v Speaker 17>but you think about Obama and Oprah and the impact

1:28:04.760 --> 1:28:07.840
<v Speaker 17>she had the Number one I'm going to use this

1:28:07.920 --> 1:28:09.760
<v Speaker 17>example because it's kind of off point for the US

1:28:09.840 --> 1:28:11.479
<v Speaker 17>but the number one cricket player in India has two

1:28:11.560 --> 1:28:16.000
<v Speaker 17>hundred and fifty million Instagram followers. I don't have offhand

1:28:16.439 --> 1:28:19.479
<v Speaker 17>how many Instagram followers Joe Burrow has or Kyrie Irving

1:28:19.640 --> 1:28:21.360
<v Speaker 17>or but you saw what Kyrie Irving did last fall.

1:28:22.960 --> 1:28:26.920
<v Speaker 17>They can make a difference. And if athlete A doesn't

1:28:26.920 --> 1:28:29.519
<v Speaker 17>want to see Donald Trump become president, he or she

1:28:29.680 --> 1:28:32.760
<v Speaker 17>has a voice, and I think you're going to see

1:28:32.960 --> 1:28:35.360
<v Speaker 17>a willingness that you did not see in the past

1:28:35.920 --> 1:28:38.799
<v Speaker 17>other than from a very select few to use.

1:28:38.720 --> 1:28:40.040
<v Speaker 1>That voice to.

1:28:41.479 --> 1:28:45.320
<v Speaker 17>I think a positive event. And any opinion is a

1:28:45.320 --> 1:28:47.560
<v Speaker 17>good opinion. I would say that about athletes and you know,

1:28:47.920 --> 1:28:49.479
<v Speaker 17>just have an opinion. I don't care whether you go

1:28:49.600 --> 1:28:51.400
<v Speaker 17>left or right or do this deal, don't do this deal.

1:28:51.640 --> 1:28:53.400
<v Speaker 17>I just want you to have an opinion. So we

1:28:53.479 --> 1:28:55.719
<v Speaker 17>say that a lot of them about politics. How an opinion,

1:28:55.760 --> 1:28:57.240
<v Speaker 17>it matters. It's going to affect your lives.

1:28:58.160 --> 1:28:59.880
<v Speaker 6>As I said, promise to come back soon because we'll

1:28:59.880 --> 1:29:02.880
<v Speaker 6>do more. We will obviously. Mark patrick Hoff, president and

1:29:02.960 --> 1:29:05.559
<v Speaker 6>CEO of Patrickcoff Company, joining us here in studio.

1:29:06.240 --> 1:29:09.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:29:09.840 --> 1:29:13.240
<v Speaker 1>Live weekday afternoons from three to six Eastern Listen.

1:29:13.080 --> 1:29:16.519
<v Speaker 8>On Bloomberg dot com, the iHeartRadio app, and the Bloomberg

1:29:16.600 --> 1:29:19.240
<v Speaker 8>Business app, or watch us live on YouTube.

1:29:20.479 --> 1:29:22.360
<v Speaker 2>She's the founder and CEO of a consulting firm that's

1:29:22.520 --> 1:29:25.479
<v Speaker 2>worked with the likes of Northorpe, Grumman, Lockheed Martin, the SEC,

1:29:25.880 --> 1:29:29.960
<v Speaker 2>the US Army, US Marine Corps, Booz, Allen Hamilton, and more,

1:29:30.080 --> 1:29:33.920
<v Speaker 2>including Harvard and Howard Universities. The company's name, KUSSY is

1:29:33.920 --> 1:29:37.600
<v Speaker 2>an acronym for knowledge, Understanding, strategy and Implementation, and in

1:29:37.680 --> 1:29:40.959
<v Speaker 2>the company's own words, is quote committed to transforming, inspiring

1:29:41.320 --> 1:29:43.360
<v Speaker 2>and cultivating leaders around the world.

1:29:43.439 --> 1:29:44.960
<v Speaker 6>So let's get to it. Her new book is The

1:29:45.000 --> 1:29:48.280
<v Speaker 6>Power of Conscious Connection for Habits to transform.

1:29:47.880 --> 1:29:49.240
<v Speaker 8>How you live and lead.

1:29:49.960 --> 1:29:52.080
<v Speaker 6>We have with us Talia Fox. She's the chief executive

1:29:52.120 --> 1:29:55.600
<v Speaker 6>officer of the consultancy Cousy Global and a fellow at

1:29:55.640 --> 1:29:58.800
<v Speaker 6>Harvard University. Talia, nice to have you here with us.

1:29:59.160 --> 1:30:01.599
<v Speaker 6>You know, we're talking about Charlie Munger, quite a leader

1:30:02.720 --> 1:30:06.280
<v Speaker 6>and someone who also kind of seemed to live to

1:30:06.400 --> 1:30:11.880
<v Speaker 6>the fullest and was very honest and transparent about his views.

1:30:12.840 --> 1:30:14.559
<v Speaker 6>Tell us a little bit about how you are thinking

1:30:14.640 --> 1:30:17.840
<v Speaker 6>about how people can transform how they live and lead.

1:30:18.320 --> 1:30:19.400
<v Speaker 15>Yeah, you know, it's amazing.

1:30:20.479 --> 1:30:23.160
<v Speaker 9>With his death, he almost reached one hundred years old.

1:30:23.360 --> 1:30:25.840
<v Speaker 9>And what you were describing about all of the giving

1:30:26.040 --> 1:30:28.760
<v Speaker 9>that he did with his time here. That is what

1:30:28.960 --> 1:30:31.840
<v Speaker 9>conscious connection is about. It's about being conscious of what's

1:30:31.880 --> 1:30:34.800
<v Speaker 9>happening in the world and the needs and being connected

1:30:34.880 --> 1:30:36.680
<v Speaker 9>to the power that you have to change it. And

1:30:36.760 --> 1:30:38.920
<v Speaker 9>that power can look different from many different people.

1:30:39.560 --> 1:30:41.240
<v Speaker 2>So let's think about I want to think about your

1:30:41.280 --> 1:30:44.600
<v Speaker 2>own journey as a leader, because you started this consultancy

1:30:44.920 --> 1:30:48.639
<v Speaker 2>quite a few years ago and you work with companies

1:30:48.720 --> 1:30:51.200
<v Speaker 2>to help cultivate leaders. And it's not just companies that

1:30:51.240 --> 1:30:54.880
<v Speaker 2>you work with, but you also offer these online learning modules.

1:30:55.160 --> 1:30:56.920
<v Speaker 2>Can you talk a little bit about your own journey

1:30:56.920 --> 1:30:59.280
<v Speaker 2>as a leader, because when I speak to people who

1:31:00.400 --> 1:31:01.920
<v Speaker 2>do this type of work, I always want to get

1:31:01.920 --> 1:31:04.160
<v Speaker 2>an understanding of Okay, well, how do they develop themselves

1:31:04.439 --> 1:31:06.960
<v Speaker 2>into somebody who can actually teach these skills.

1:31:07.240 --> 1:31:07.400
<v Speaker 3>Yeah.

1:31:07.439 --> 1:31:10.200
<v Speaker 9>So my background is in psychology, so I really studied.

1:31:10.800 --> 1:31:13.839
<v Speaker 9>I started off in nonprofit studying the impact that leadership

1:31:13.920 --> 1:31:16.479
<v Speaker 9>has on real lives, and I started doing keynotes speaking

1:31:16.520 --> 1:31:20.840
<v Speaker 9>events for nonprofit organizations. But I was very connected to

1:31:21.000 --> 1:31:24.400
<v Speaker 9>the fact that leadership decisions impact. I was able to

1:31:24.439 --> 1:31:27.679
<v Speaker 9>look into children's eyes and see the impact of leadership decisions.

1:31:28.280 --> 1:31:31.080
<v Speaker 9>I've had quite an interesting journey of being a single mom,

1:31:31.960 --> 1:31:35.479
<v Speaker 9>of having to really find my way and study what

1:31:35.840 --> 1:31:38.800
<v Speaker 9>matters and what makes a difference in achievement. And so

1:31:39.000 --> 1:31:42.640
<v Speaker 9>I've read literally hundreds of books, and I have been

1:31:42.680 --> 1:31:45.400
<v Speaker 9>on a hunt for my entire twenty year career, twenty

1:31:45.439 --> 1:31:48.640
<v Speaker 9>plus years finding out what are those core ideas, what

1:31:48.720 --> 1:31:51.040
<v Speaker 9>are those core things that really make a difference in

1:31:51.120 --> 1:31:53.640
<v Speaker 9>how we live and lead. And that is really what

1:31:53.760 --> 1:31:56.639
<v Speaker 9>this book is about. I'm sharing those stories, the stories

1:31:56.640 --> 1:31:59.840
<v Speaker 9>of achievement and the hack that I call it to

1:32:00.240 --> 1:32:02.040
<v Speaker 9>a great leadership and a great life.

1:32:02.160 --> 1:32:05.559
<v Speaker 6>So let's get to the four habits. So talk to us,

1:32:06.600 --> 1:32:07.720
<v Speaker 6>walk us through them, if you will.

1:32:07.920 --> 1:32:09.960
<v Speaker 9>So it's very interesting because the four habits make up

1:32:10.000 --> 1:32:14.040
<v Speaker 9>the acronym love. But that absolutely was a beautiful coincidence.

1:32:14.560 --> 1:32:15.240
<v Speaker 1>So the four.

1:32:15.160 --> 1:32:20.040
<v Speaker 9>Habits are listening, observe, value, and engage, And each of

1:32:20.120 --> 1:32:24.240
<v Speaker 9>these habits is connected to a leadership skill that we

1:32:24.400 --> 1:32:28.280
<v Speaker 9>want to master. So listening is connected to emotional intelligence

1:32:28.360 --> 1:32:31.599
<v Speaker 9>that's very critical for our success. And so I outline

1:32:31.640 --> 1:32:34.839
<v Speaker 9>in the book how to do that. Observation is connected

1:32:34.880 --> 1:32:39.080
<v Speaker 9>to systems thinking. This opportunity to be to see patterns

1:32:39.120 --> 1:32:43.719
<v Speaker 9>and to understand how interdependent we are. Values is connected

1:32:43.880 --> 1:32:48.759
<v Speaker 9>to cultural competence, our capacity to value people, to value

1:32:48.840 --> 1:32:52.120
<v Speaker 9>connection to value differences, to really be able to see

1:32:52.160 --> 1:32:54.719
<v Speaker 9>all the big issues happening in the world and understand

1:32:54.760 --> 1:32:57.360
<v Speaker 9>how adapt how to adapt our world views to those

1:32:57.920 --> 1:33:02.360
<v Speaker 9>and then lastly engage the real critical key value, particularly

1:33:02.439 --> 1:33:04.560
<v Speaker 9>in the world we are in today, is to be

1:33:04.640 --> 1:33:08.000
<v Speaker 9>able to communicate in such a way that connects instead

1:33:08.040 --> 1:33:11.200
<v Speaker 9>of divides, and so that habit makes up the acronym love,

1:33:11.560 --> 1:33:13.439
<v Speaker 9>which I don't know my Department of Defense folks on

1:33:13.640 --> 1:33:17.080
<v Speaker 9>how I feel about that acronym. I was actually cringing

1:33:17.320 --> 1:33:19.760
<v Speaker 9>at how fluffy it was. But when I saw it

1:33:19.880 --> 1:33:21.680
<v Speaker 9>right there, I said, oh, it makes up love. I

1:33:21.840 --> 1:33:24.120
<v Speaker 9>wasn't going to shy away from it, and so we're

1:33:24.200 --> 1:33:27.280
<v Speaker 9>sticking to it. So we'll see if leaders can handle

1:33:28.040 --> 1:33:32.759
<v Speaker 9>the experience of that being so conscious connected in their strategy.

1:33:32.960 --> 1:33:35.479
<v Speaker 2>It's so funny because you know, you do work with

1:33:35.880 --> 1:33:38.160
<v Speaker 2>clients like the Department of Defense, the US Army, of

1:33:38.160 --> 1:33:40.120
<v Speaker 2>the US Marine Corps. What's the reaction to the folks

1:33:40.160 --> 1:33:42.200
<v Speaker 2>when you share with them this methodology.

1:33:43.240 --> 1:33:47.320
<v Speaker 9>Well, our our firm kusai kusi knowledge as you've shared

1:33:47.439 --> 1:33:50.760
<v Speaker 9>understanding strategy implementation that is real. That has been the

1:33:51.040 --> 1:33:53.600
<v Speaker 9>strategic approach that we use when we go and do

1:33:53.720 --> 1:33:57.920
<v Speaker 9>culture transformation projects. So this book I wrote not only

1:33:58.040 --> 1:34:00.960
<v Speaker 9>for my clients but also for it's for the people,

1:34:01.360 --> 1:34:03.760
<v Speaker 9>and so it's really about on an individual level and

1:34:03.960 --> 1:34:06.439
<v Speaker 9>on a leadership level, what are those habits that we

1:34:06.560 --> 1:34:09.639
<v Speaker 9>need to master on a regular basis, on a daily

1:34:09.680 --> 1:34:11.040
<v Speaker 9>basis to impact change.

1:34:11.280 --> 1:34:13.160
<v Speaker 6>Talia. You know, we talk with leaders all the time,

1:34:13.439 --> 1:34:15.240
<v Speaker 6>you know, And I'm curious about when you're working with

1:34:16.080 --> 1:34:18.320
<v Speaker 6>the defense contractors do a lot of government work, it

1:34:18.360 --> 1:34:21.360
<v Speaker 6>looks like consultants university. I mean, what is it that

1:34:21.760 --> 1:34:24.800
<v Speaker 6>people often come to you and say, Okay, here's we've

1:34:24.840 --> 1:34:27.080
<v Speaker 6>got this situation, here's what's wrong, or here's what's wrong

1:34:27.120 --> 1:34:27.879
<v Speaker 6>with our leadership?

1:34:28.000 --> 1:34:29.479
<v Speaker 3>Like help us? Or do they not even know?

1:34:30.040 --> 1:34:32.960
<v Speaker 9>What's interesting is that, you know, I really wish that

1:34:33.000 --> 1:34:35.560
<v Speaker 9>people would be more pulled by purpose as opposed to

1:34:35.600 --> 1:34:38.759
<v Speaker 9>push by stress. But typically when people do come to Kusai,

1:34:39.400 --> 1:34:42.360
<v Speaker 9>there's something happening in the news, there's a you know,

1:34:42.600 --> 1:34:46.800
<v Speaker 9>racial issues, social issues, political issues, and you're seeing a

1:34:47.200 --> 1:34:51.799
<v Speaker 9>huge divide or even bleeding out executives. You're seeing problem,

1:34:51.960 --> 1:34:54.920
<v Speaker 9>serious problems. We actually call it a culture shot. They

1:34:55.000 --> 1:34:57.439
<v Speaker 9>need to be triaged if you will, to get the

1:34:57.520 --> 1:34:59.839
<v Speaker 9>culture back on board. You've got a lot of conflict.

1:35:00.000 --> 1:35:03.519
<v Speaker 9>People aren't talking to each other. That's when people say, okay,

1:35:04.120 --> 1:35:06.000
<v Speaker 9>who do you go to? You go to Kusai for

1:35:06.080 --> 1:35:08.800
<v Speaker 9>those kinds of challenges, and we really come in with

1:35:09.040 --> 1:35:11.840
<v Speaker 9>sort of skills and systems to support in a full

1:35:11.880 --> 1:35:13.120
<v Speaker 9>scale culture transformation.

1:35:13.720 --> 1:35:17.080
<v Speaker 2>So what are the issues right now that the companies

1:35:17.200 --> 1:35:20.000
<v Speaker 2>that are coming to you right now are telling you

1:35:20.080 --> 1:35:20.679
<v Speaker 2>that they're facing.

1:35:21.360 --> 1:35:23.800
<v Speaker 9>So right now we're dealing, of course with a lot

1:35:23.840 --> 1:35:30.840
<v Speaker 9>of diversity, equity and inclusion issues, particularly around conversations about politics,

1:35:30.920 --> 1:35:36.800
<v Speaker 9>conversations that are really highly tense, and so there is

1:35:36.920 --> 1:35:39.760
<v Speaker 9>this opportunity. I mean, in the government, they have an

1:35:39.800 --> 1:35:41.280
<v Speaker 9>act in a law that you're not supposed to talk

1:35:41.280 --> 1:35:43.720
<v Speaker 9>about these things. But people know their social media and

1:35:43.880 --> 1:35:46.080
<v Speaker 9>so one of the things that we're doing is how

1:35:46.120 --> 1:35:49.200
<v Speaker 9>do you have these difficult conversations, how do you see

1:35:49.400 --> 1:35:52.240
<v Speaker 9>authentic without having to get into the weeds of what's

1:35:52.280 --> 1:35:54.400
<v Speaker 9>actually happening in the world. So how do you build

1:35:54.600 --> 1:35:58.720
<v Speaker 9>those relationships in a way that feels professional but that

1:35:58.840 --> 1:35:59.879
<v Speaker 9>also feels authentic.

1:36:00.040 --> 1:36:04.559
<v Speaker 6>Well, I'm curious. I'm glad you went there because it's fascinating.

1:36:04.600 --> 1:36:07.080
<v Speaker 6>We have conversations, and I feel like they certainly picked

1:36:07.160 --> 1:36:09.680
<v Speaker 6>up momentum when it comes to diversity inclusion coming off

1:36:09.720 --> 1:36:12.920
<v Speaker 6>of the pandemic, coming off of George Floyd. It's amazing

1:36:13.280 --> 1:36:15.720
<v Speaker 6>how here we are, how many years out from that,

1:36:16.320 --> 1:36:19.160
<v Speaker 6>how many years before that that we were having those conversations,

1:36:19.200 --> 1:36:20.799
<v Speaker 6>and yet we still have a problem.

1:36:21.960 --> 1:36:22.400
<v Speaker 10>I don't know.

1:36:22.680 --> 1:36:25.280
<v Speaker 6>You talk with leaders, you work with companies. What is

1:36:25.400 --> 1:36:28.920
<v Speaker 6>the fix so that we don't have to have the

1:36:28.920 --> 1:36:30.600
<v Speaker 6>conversation anymore? Because it just is.

1:36:31.240 --> 1:36:33.679
<v Speaker 9>I don't think that it's a fix. I think it's

1:36:33.840 --> 1:36:37.640
<v Speaker 9>actually almost like hygiene, cultural hygiene. I love that you

1:36:38.479 --> 1:36:41.040
<v Speaker 9>have new people coming into an organization. This is something

1:36:41.080 --> 1:36:44.080
<v Speaker 9>where where people we have feelings, we have triggers, we

1:36:44.160 --> 1:36:47.080
<v Speaker 9>have experiences, we have life, and so we really need

1:36:47.160 --> 1:36:50.439
<v Speaker 9>to treat it as a constant opportunity to create space,

1:36:50.840 --> 1:36:53.840
<v Speaker 9>to be able to build this environment where people are

1:36:53.880 --> 1:36:57.760
<v Speaker 9>committed to innovation, committed to growth, committed to being their

1:36:57.840 --> 1:37:00.439
<v Speaker 9>best selves. But in order to do that, the soil

1:37:00.560 --> 1:37:04.600
<v Speaker 9>has to be We have some very specific communication strategies

1:37:04.640 --> 1:37:07.439
<v Speaker 9>and ways that this culture operates, and we need to

1:37:07.479 --> 1:37:09.920
<v Speaker 9>make sure that everyone is on the same page. I

1:37:10.080 --> 1:37:12.160
<v Speaker 9>kind of like to use the very plain language of

1:37:12.320 --> 1:37:15.240
<v Speaker 9>in this house, this is how we behave in this house.

1:37:15.360 --> 1:37:17.760
<v Speaker 9>This is how we talk to each other, and that's

1:37:17.840 --> 1:37:21.120
<v Speaker 9>that's the corporate speak. This is what we do here together,

1:37:21.280 --> 1:37:24.120
<v Speaker 9>and this is how we have these kinds of conversations

1:37:24.240 --> 1:37:25.599
<v Speaker 9>and connect and deal with each other.

1:37:25.720 --> 1:37:27.160
<v Speaker 6>Corporate hygiene. Is that what you said?

1:37:27.479 --> 1:37:29.280
<v Speaker 14>Yes, I like that.

1:37:29.760 --> 1:37:30.760
<v Speaker 3>I like that right.

1:37:30.840 --> 1:37:33.439
<v Speaker 6>It's just it just is like you do it because

1:37:33.479 --> 1:37:36.080
<v Speaker 6>you're yeah, you have to. You should be gotta brush

1:37:36.120 --> 1:37:36.479
<v Speaker 6>your teeth.

1:37:36.520 --> 1:37:39.320
<v Speaker 9>You gotta brush your teeth act and using that analogy,

1:37:39.400 --> 1:37:42.080
<v Speaker 9>the more you keep brushing your teeth, you have less cavities,

1:37:42.160 --> 1:37:44.519
<v Speaker 9>less paces. You know, I don't want to be going

1:37:44.560 --> 1:37:46.240
<v Speaker 9>on a wonderful trip somewhere and you have to go

1:37:46.280 --> 1:37:48.439
<v Speaker 9>get a root canal. But that's what organizations are dealing

1:37:48.520 --> 1:37:50.880
<v Speaker 9>with right now. I will tell you if I was

1:37:50.960 --> 1:37:53.320
<v Speaker 9>leading in any large organization, I would not lead a

1:37:53.400 --> 1:37:55.799
<v Speaker 9>team that has not been trained on how to manage

1:37:55.920 --> 1:37:58.920
<v Speaker 9>and communicate. I think in this day and age, it's

1:37:58.960 --> 1:38:01.000
<v Speaker 9>almost like not having a way upsider people not being

1:38:01.000 --> 1:38:01.840
<v Speaker 9>able to use a computer.

1:38:02.000 --> 1:38:03.880
<v Speaker 6>It's a great way, but it's a great way of

1:38:03.920 --> 1:38:05.519
<v Speaker 6>thinking about It's a different mindset and I think that's

1:38:05.560 --> 1:38:09.160
<v Speaker 6>really important in terms of changing ultimately the outcome. Tell

1:38:09.160 --> 1:38:11.600
<v Speaker 6>you Fox, thank you so much, Chief executive Officer, the

1:38:11.760 --> 1:38:16.200
<v Speaker 6>consultancy Kusai Global, A fellow at Harvard and CURSS. Our

1:38:16.240 --> 1:38:18.360
<v Speaker 6>book is the Power of Conscious Connections for habits to

1:38:18.439 --> 1:38:21.160
<v Speaker 6>transform how you live and lead. This is the.

1:38:21.200 --> 1:38:25.960
<v Speaker 1>Bloomberg Business Week podcast, available on Apple, Spotify, and anywhere

1:38:26.000 --> 1:38:29.680
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