WEBVTT - Bloomberg Businessweek Weekend - November 12th, 2021

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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 As it happened Sloomberg

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<v Speaker 1>Business Week with Carol Messier and Bloomberg Quick Takes Tim

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<v Speaker 1>Stinovic on Bloomberg Radio. Hi everyone, Welcome to the weekend

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<v Speaker 1>edition of Bloomberg Business Week. This week, inflation number stoked

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<v Speaker 1>fear in the markets. Disney slumped after earning showed streaming

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<v Speaker 1>subscriptions cooling off despite a warning by the CEO back

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<v Speaker 1>in September. And then you had Elon Musk unloading five

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<v Speaker 1>billion dollars in stock after taking a Twitter poll. Yeah,

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<v Speaker 1>five billion. That whole thing. Well, we should note that

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<v Speaker 1>Musk made that move to help satisfy tax withholding obligations

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<v Speaker 1>related to the exercising of stock options. Incidentally, he did

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<v Speaker 1>it against the backdrop of Amazon backed Rive in making

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<v Speaker 1>its public trading debut and becoming the largest I p

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<v Speaker 1>O of the year. Amazing week. Yes, a new entrant

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<v Speaker 1>into the electric vehicle market. On the other hand, one

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<v Speaker 1>of the most iconic names in the history of American industry,

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<v Speaker 1>charting a new path forward. General Electric set to break

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<v Speaker 1>up into three separate companies. The conglomerate seems to be

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<v Speaker 1>dead at this point. Yeah, Well, of industry icons and

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<v Speaker 1>e vs, We're going to catch up with the president

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<v Speaker 1>and CEO of Mercedes Benz USA. We're also going to

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<v Speaker 1>get an up close look at the US housing market.

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<v Speaker 1>We're going to do that with the CEO of Invitation Homes.

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<v Speaker 1>Will also take you inside Zillo's half billion dollar home

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<v Speaker 1>flipping flop and legendary venture campist John Dore, stopping by

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<v Speaker 1>unveiling his action plan for solving a climate crisis. Well,

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<v Speaker 1>all of that to come. We begin though, by welcoming

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<v Speaker 1>the editor of Bloomberg Business Week magazine, Joel Weber. Joel,

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<v Speaker 1>it's good to see you this week. It's the Bloomberg

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<v Speaker 1>New Economy Issue ahead of next week's Bloomberg New Economy Forum.

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<v Speaker 1>It's happening in Singapore. So what do we need to know?

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<v Speaker 1>I'm not going. I wish I were. Uh, Singapore is

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<v Speaker 1>open for business and I think everyone there's is really

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<v Speaker 1>excited for the for the conference. Um, the issue, I

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<v Speaker 1>think we've always thought about it through this problems and

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<v Speaker 1>solution lens and there's the developing world and developed world,

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<v Speaker 1>and there's really been a lack of dialogue almost between

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<v Speaker 1>the two. And I think the New Economy Form is

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<v Speaker 1>really meant to be a place where we learned from

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<v Speaker 1>each other, right and boy, there's like kind of a

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<v Speaker 1>lot of problems in the world right now, So what

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<v Speaker 1>can we learn? And that's sort of how we approached

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<v Speaker 1>all those stories in the issues, like big problems, what

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<v Speaker 1>are some big solutions that that business can help provide?

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<v Speaker 1>And we're gonna talk to Christina Lynblad a little bit

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<v Speaker 1>more about it, who oversaw um that section of the magazine,

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<v Speaker 1>so we'll get to her a little bit later. On reminder,

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<v Speaker 1>you can tune into the live stream of Bloomberg New

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<v Speaker 1>Economy Form from Singapore November seventeenth through nineteenth. That's at

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<v Speaker 1>Bloomberg dot com slash Live slash Stream. Joel We touched

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<v Speaker 1>on it at the top General Electric breaking into three

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<v Speaker 1>separate entities, Richard Cloth and Ryan Bean writing about it

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<v Speaker 1>in the Business section this week, CEO Larry colep bringing

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<v Speaker 1>an end of the company as we've known it for decades. Um,

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<v Speaker 1>what are some implications of this? Well, first of all,

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<v Speaker 1>I just think of g E is sort of the

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<v Speaker 1>quintessential American company, right, and a hundred and thirty plus

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<v Speaker 1>years of innovation, and then you know, it all kind

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<v Speaker 1>of started to unravel in the last twenty years. And

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<v Speaker 1>of course Larry Colp, who we've written about before in

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<v Speaker 1>the magazine, steps in first only outsider CEO to take

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<v Speaker 1>over over the company, right, and he inherits this baggage

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<v Speaker 1>that has been left with him and the legacy of

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<v Speaker 1>Jack Welsh of course, and you know big conglomerate that

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<v Speaker 1>that business model is no longer in vogue. And Larry

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<v Speaker 1>Colp is a very strategic business thinker, came from Dana

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<v Speaker 1>Herb maybe the only other conglomerate style company really in

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<v Speaker 1>America at scale like that, and what he decided to do,

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<v Speaker 1>break it into pieces and potentially, you know, hope to

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<v Speaker 1>unlock some more value for investors. What's wild about this

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<v Speaker 1>is I think about the trajectory and it's not been

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<v Speaker 1>such a long time, Like just a few years ago, right,

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<v Speaker 1>we were still looking at g IS like the company

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<v Speaker 1>that you wanted to know what they were doing because

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<v Speaker 1>they had such a great out you know, global outlook

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<v Speaker 1>on so many different in touch, so many different industries

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<v Speaker 1>and Ultimately, what he did was to sell some things

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<v Speaker 1>off and then boil things down right. And when you

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<v Speaker 1>really distilled it, there were three businesses. There's aviation, healthcare,

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<v Speaker 1>and energy. He's going to remain at the aviation side,

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<v Speaker 1>which probably has the best outlook. Both the energy and

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<v Speaker 1>the healthcare have a little bit more of a challenged

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<v Speaker 1>forecast um, but you know, doesn't mean that somebody can't

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<v Speaker 1>turn this around. One of the things that Jim Ellis

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<v Speaker 1>and I were talking about what we worked on this story,

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<v Speaker 1>was like everyone thought HP was going to have this

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<v Speaker 1>great enterprise business and you know, this printer home printer

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<v Speaker 1>business wasn't going to be such a great one, and

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<v Speaker 1>it turned out to be the exact opposite. There was

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<v Speaker 1>a ton of money in a subscription base model at

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<v Speaker 1>a moment time that everybody started to work from home.

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<v Speaker 1>So you know, I can't pre judge this one, but

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<v Speaker 1>Larry Colp proved to be the person who was willing

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<v Speaker 1>to do something that no one else was willing to do.

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<v Speaker 1>YEA certainly the end of an era and a lot

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<v Speaker 1>of symbolism there as well with what's happening right now Joel.

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<v Speaker 1>In the text section our Patrick Clark takes us inside

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<v Speaker 1>Zilla's home, flipping to Boggle. He's going to join us

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<v Speaker 1>a bit later on. We just want to know, though, Um,

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<v Speaker 1>how did this go so wrong so quickly? Wasn't it

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<v Speaker 1>a cover story just a few years ago? What we

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<v Speaker 1>it was not a cover story that we we talked

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<v Speaker 1>about it in the terms of this is a big, big, big,

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<v Speaker 1>big experiment, and you know, there's a lot of interest

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<v Speaker 1>in like what Zilo was attempting to do. I mean,

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<v Speaker 1>this is a company that really means real estate. If

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<v Speaker 1>you you know, thats the z estimate you pull it

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<v Speaker 1>up on your phone to be like how much is

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<v Speaker 1>my house actually worth? And here they were going into

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<v Speaker 1>areas like Phoenix and buying a lot of homes. One

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<v Speaker 1>of the things that Pat sort of I think gets

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<v Speaker 1>too in this story is that they, you know, this

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<v Speaker 1>outgo idea, this I buying idea, really untested, what could

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<v Speaker 1>go wrong? And it was almost like they turned up

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<v Speaker 1>the volume to do things that were maybe a little

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<v Speaker 1>bit beyond their skis, and that seems to have really backfired. Um.

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<v Speaker 1>The bigger implications here for the housing market becomes, Okay,

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<v Speaker 1>we have a lot of these homes that Zilo has bought,

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<v Speaker 1>they're going to offload them. We've already seen institutional investors

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<v Speaker 1>step into single family homes in a big way. That

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<v Speaker 1>used to go to aspiring homeowners and and now we're

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<v Speaker 1>looking at like you living in rentals for forever, and

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<v Speaker 1>that has big economic implications for for the ability to

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<v Speaker 1>grow wealth, and you know, turns institutional investors into landlords

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<v Speaker 1>even more. You do wonder too, how much the current

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<v Speaker 1>environment or the pandemic environment, all of a sudden, like

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<v Speaker 1>home appreciations were off the chart, how much that just

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<v Speaker 1>kind of messed up the algorithms a little bit. And

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<v Speaker 1>you know, and and it's a it's a big test

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<v Speaker 1>for Zillo is not the only person doing this, and

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<v Speaker 1>it means that there will continue to be you know,

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<v Speaker 1>improvements and algorithms. But that also is the big risk

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<v Speaker 1>as more and more of our life gets basically overrun

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<v Speaker 1>by algorithms and our big thank YouTube Business Week editor

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<v Speaker 1>Joel Webber joining us with a look at this week's

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<v Speaker 1>New Economy issue. More from the magazine in just a

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<v Speaker 1>little bit. Coming up, With the global auto market filling

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<v Speaker 1>the strain of supply chain bottlenecks, we're going to check

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<v Speaker 1>in with the CEO of Mercedes Ben's USA talking to

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<v Speaker 1>us about this work around. Demitrius Delaco's talks pricing power

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<v Speaker 1>and the company's electric future. You're listening to Bloomberg Business Week.

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<v Speaker 1>This is Bloomberg. This is Bloomberg Business Week with Carol

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<v Speaker 1>Masser and Bloomberg Quick takes Tim Stinovik from Bloomberg Radio.

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<v Speaker 1>He has a global perspective on the auto industry. Tim.

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<v Speaker 1>He has worked for Mercedes Bens for nearly three decades.

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<v Speaker 1>We're talking about Demitriz de Lachez. He served the company

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<v Speaker 1>in his native Greece and Korea, in Canada and earlier

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<v Speaker 1>this year he was named president in CEO of Mercedes

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<v Speaker 1>Benz USA. He's right now leading it toward what he

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<v Speaker 1>calls an electric vehicle future. I feel like the whole

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<v Speaker 1>week was about e VS in a big way. Well,

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<v Speaker 1>despite supply chain challenges and a tight labor environment, Zelaca says,

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<v Speaker 1>the luxury auto market in North America it's growing. What

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<v Speaker 1>helps a lot in accommodating demand is the flexibility. We

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<v Speaker 1>have enough factories in in accommodating let's say the shortages

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<v Speaker 1>in the best way, so I would say it has

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<v Speaker 1>been challenging but we did the best you could do

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<v Speaker 1>out of it to supply vehicle store customers. So does

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<v Speaker 1>it sound like Tom When we get into twenty two,

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<v Speaker 1>we still might have some supply chain constraints, but as

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<v Speaker 1>you said, stabilizing, so not getting necessarily any worse. This

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<v Speaker 1>is the kind of situation. Yes, Q four is developing

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<v Speaker 1>better than you three, and we see a certain light

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<v Speaker 1>out of the channel. Nevertheless, two, we continue posing challenges

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<v Speaker 1>for all of us in the auto industry. What about

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<v Speaker 1>for workers? And you know that's the other kind of

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<v Speaker 1>flip side of this is that UM companies are competing

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<v Speaker 1>for workers having to pay up. How are you guys

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<v Speaker 1>on the labor front? Certainly for the markets that you

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<v Speaker 1>ever see, I would say we were, well, we have

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<v Speaker 1>a good situation, a stable situation. There were man not

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<v Speaker 1>that flexibly with with our workforce. I'll did. It's also

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<v Speaker 1>on west sides m accommodating the demands also through the

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<v Speaker 1>COVID phase. Who could keep our businesses up and running?

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<v Speaker 1>So all in all, I would say, it's it's manageable.

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<v Speaker 1>It's tough, but it's manageable. We've heard a lot from

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<v Speaker 1>executives around the country who've had to raise prices as

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<v Speaker 1>really as a result to attract and retain talent, or

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<v Speaker 1>to attract and retain talent, how have you had to

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<v Speaker 1>do that? I would say this is this is twofold

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<v Speaker 1>on one on one one hand is adapting to the

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<v Speaker 1>current situation condition. So as you know, have also a

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<v Speaker 1>hybrid working model in the company, and probably in one

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<v Speaker 1>or the other situation, we had yes to to pay

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<v Speaker 1>what the markets is asking. But all in all is falling,

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<v Speaker 1>trends is adjusting, and it's manageable with within our budgets.

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<v Speaker 1>To me, just how are any of this impacting the

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<v Speaker 1>rollout of you guys? You are moving grossly into EVS.

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<v Speaker 1>You've launched your e q S brand already in Europe.

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<v Speaker 1>It's coming from what I understand early two in the

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<v Speaker 1>United States. How does that rollout look? All in all,

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<v Speaker 1>I think we're moving faster into an electric vehicle future

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<v Speaker 1>and muspense is part of this game. You said, quite right.

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<v Speaker 1>So we'll have just long the our first elected vehicle

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<v Speaker 1>in the in the U S, which is the equ S.

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<v Speaker 1>The let's say that the media exports on this product.

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<v Speaker 1>The dealer comments after testing the products are extremely positive.

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<v Speaker 1>So We're looking to a very um positive future for

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<v Speaker 1>for all the vehicles of considered bands. Do you feel

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<v Speaker 1>like you'll be able to meet the demand of the

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<v Speaker 1>new Equs brand of people who want them, who place

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<v Speaker 1>orders here in North America? You'll be able to meet

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<v Speaker 1>that demand in two we have quite a good volume.

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<v Speaker 1>But the issue here is not if we can meet

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<v Speaker 1>the demand. I think the demand is higher than what

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<v Speaker 1>we can all in all produce and deliver. You know,

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<v Speaker 1>Equs is not the product only for the US market.

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<v Speaker 1>It's a product for for for many markets around the world.

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<v Speaker 1>The demand is hide an extraordinary good product. Will happy

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<v Speaker 1>for that, and unfortunately it's going to be some waiting

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<v Speaker 1>line for for this product. So we just tell us

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<v Speaker 1>a bit more about the vision of Mercedes Bands and

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<v Speaker 1>they thoughts about electric vehicles and where it's all going.

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<v Speaker 1>Our vision is very clear. We want to become the

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<v Speaker 1>most desirable electric luxury brands um and this we start

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<v Speaker 1>our error by introducing the q S, an amazing vehicle

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<v Speaker 1>with top technologies, innovations and splendid design. And there is

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<v Speaker 1>much more to come. So we're accelerating our our product

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<v Speaker 1>range towards a carbon neutral let's say a mobility and

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<v Speaker 1>this is by introducing within next year everything. The next

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<v Speaker 1>year the EQUB which is going to be our entry

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<v Speaker 1>suv models, but we continue with the equ Sedan, the

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<v Speaker 1>eq S suv and the equ Suv, which are two

0:11:54.320 --> 0:11:57.400
<v Speaker 1>products which by the way, will be produced in our

0:11:57.400 --> 0:12:02.680
<v Speaker 1>factory in in Alabama. So in the next basically twelve

0:12:02.720 --> 0:12:05.120
<v Speaker 1>to fifteen months, who plan to have a full range

0:12:05.120 --> 0:12:08.520
<v Speaker 1>of five full electric vehicles in the US market? What

0:12:08.640 --> 0:12:10.520
<v Speaker 1>is the price range on these? Because if somebody is

0:12:10.559 --> 0:12:12.160
<v Speaker 1>in the market for an electric vehicle, they're going to

0:12:12.200 --> 0:12:15.600
<v Speaker 1>consider from other companies, and you know, Tesla regardless of

0:12:15.600 --> 0:12:18.160
<v Speaker 1>where it ends up right, UM advertises cars in the

0:12:18.200 --> 0:12:22.959
<v Speaker 1>thirty thousands. I would say at the moment of range,

0:12:23.080 --> 0:12:28.720
<v Speaker 1>what we call the the electric Mercedes, the S class

0:12:28.720 --> 0:12:31.559
<v Speaker 1>of electric which is the EQUS starts at one hundred

0:12:31.600 --> 0:12:35.520
<v Speaker 1>and three thousand dollars, and obviously would the EQUB, which

0:12:35.559 --> 0:12:38.839
<v Speaker 1>is an equivalent to today g LB, will be in

0:12:38.880 --> 0:12:42.840
<v Speaker 1>a much lower range, probably around the sixty thousand dollars.

0:12:42.880 --> 0:12:45.240
<v Speaker 1>So it's it's a lot to come to anticipate a

0:12:45.400 --> 0:12:48.280
<v Speaker 1>time demetrius when we get to a point in the

0:12:48.360 --> 0:12:51.839
<v Speaker 1>United States where the charging network is as ubiquitous, a

0:12:51.920 --> 0:12:55.520
<v Speaker 1>gas station available in every corner. I would not give

0:12:55.559 --> 0:12:58.080
<v Speaker 1>a date for that, but I would say the speed

0:12:58.120 --> 0:13:02.440
<v Speaker 1>of adoption of a mobility is quite impressive in the US.

0:13:02.440 --> 0:13:07.959
<v Speaker 1>That coupled with the let's say the infrastructure subsidies, the

0:13:08.000 --> 0:13:12.920
<v Speaker 1>infrasection subsidies, which are plants, we believe will accelerate the

0:13:13.000 --> 0:13:17.400
<v Speaker 1>rhythm of of of development of charging stations. Don't forget

0:13:17.440 --> 0:13:20.760
<v Speaker 1>also technology helps in this direction since you can basically

0:13:21.040 --> 0:13:25.040
<v Speaker 1>on on on the screen of your vehicle identify h

0:13:25.720 --> 0:13:28.360
<v Speaker 1>which is the closest charging station or plan let's say,

0:13:28.400 --> 0:13:32.480
<v Speaker 1>your your driving route according to two available charging stations.

0:13:32.480 --> 0:13:36.960
<v Speaker 1>So a combination of charging stations and small technology would

0:13:37.000 --> 0:13:43.400
<v Speaker 1>support our customers overcoming the hesitation of the same buying

0:13:43.520 --> 0:13:47.439
<v Speaker 1>or driving an electric vehicle for for for long distances.

0:13:47.440 --> 0:13:49.960
<v Speaker 1>That was Demitrius the laque Sees, the president and CEO

0:13:50.120 --> 0:13:52.720
<v Speaker 1>of Mercedes Bend's USA. I can't wait to get kind

0:13:52.720 --> 0:13:55.199
<v Speaker 1>of into an e Vy. Have you not been in one? Oh?

0:13:55.240 --> 0:13:57.080
<v Speaker 1>I have been in one, but I really haven't driven one.

0:13:57.400 --> 0:13:59.719
<v Speaker 1>And are are you ready for your next card to

0:13:59.760 --> 0:14:02.599
<v Speaker 1>be any? Yes? Okay, all in there you go, And

0:14:02.600 --> 0:14:07.160
<v Speaker 1>I feel like there's more choices. How yeah, well no, no, no,

0:14:07.240 --> 0:14:09.600
<v Speaker 1>because where we park our car, there's no outlet, and

0:14:09.760 --> 0:14:11.959
<v Speaker 1>you know that is the It's gonna be difficult in

0:14:12.040 --> 0:14:14.160
<v Speaker 1>urban environments. I do think about that. I got a

0:14:14.200 --> 0:14:15.920
<v Speaker 1>lot of flak for saying this a few weeks ago

0:14:16.600 --> 0:14:19.880
<v Speaker 1>because people were saying, everybody has garages and they can

0:14:20.240 --> 0:14:22.480
<v Speaker 1>charge in their garages, and I'm saying everybody does not

0:14:22.560 --> 0:14:24.960
<v Speaker 1>have garage exactly. The millions of people like me who

0:14:24.960 --> 0:14:27.040
<v Speaker 1>live in the United States live in apartments and don't

0:14:27.080 --> 0:14:29.160
<v Speaker 1>parking garages. We park on the street and parking lots.

0:14:29.240 --> 0:14:31.360
<v Speaker 1>We don't have access to charging yet, hence the needed

0:14:31.400 --> 0:14:33.800
<v Speaker 1>infrastructure investments to get us up to speed on that. Well,

0:14:33.800 --> 0:14:36.000
<v Speaker 1>it still ahead. On Bloomberg Business Week, we go from

0:14:36.040 --> 0:14:39.400
<v Speaker 1>autos to airplanes and the easing of pandemic travel restrictions.

0:14:39.400 --> 0:14:42.160
<v Speaker 1>It's not the only reason you're seeing more planes in

0:14:42.160 --> 0:14:44.880
<v Speaker 1>the sky. No, that's for sure. Why supply chain chaos

0:14:45.000 --> 0:14:47.880
<v Speaker 1>is fueling demand for freighter aircraft and what the world's

0:14:47.920 --> 0:14:50.840
<v Speaker 1>top two planemakers are doing to meet it. This is

0:14:50.880 --> 0:15:00.680
<v Speaker 1>Bloomberg broadcasting from the financial capital of the world, Bloomberg

0:15:00.720 --> 0:15:03.520
<v Speaker 1>Eleve in Frio in New York to Washington, d C.

0:15:03.720 --> 0:15:08.440
<v Speaker 1>Bloomberg to Boston, Bloomberg one oh six one to San Francisco,

0:15:08.480 --> 0:15:11.960
<v Speaker 1>Bloomberg nine sixty to the Country Sirius XM Jeddo one

0:15:12.000 --> 0:15:15.160
<v Speaker 1>nineteen and around the globe the Bloomberg Business app and

0:15:15.200 --> 0:15:20.480
<v Speaker 1>Bloomberg Radio dot com. This is Bloomberg Business Week. In

0:15:20.520 --> 0:15:22.560
<v Speaker 1>the business section of the magazine. This week, there's a

0:15:22.600 --> 0:15:26.040
<v Speaker 1>story that homes in on big cargo planes. We're talking

0:15:26.160 --> 0:15:29.280
<v Speaker 1>massive planes more in demand than ever because many of

0:15:29.280 --> 0:15:31.880
<v Speaker 1>the goods that used to come to us by sea

0:15:32.040 --> 0:15:34.840
<v Speaker 1>are now being shuttled through the air. These behemoths of

0:15:34.840 --> 0:15:37.640
<v Speaker 1>the sky can quickly transport large amounts of freight while

0:15:37.640 --> 0:15:40.960
<v Speaker 1>bypassing port tie up shortages of ocean containers or rail

0:15:41.000 --> 0:15:43.800
<v Speaker 1>cars and the current shortage of long haul truck drivers.

0:15:43.840 --> 0:15:45.600
<v Speaker 1>This is a story that you and I both learned

0:15:45.600 --> 0:15:48.080
<v Speaker 1>so much. Boeing and Airbus, we know are both developing

0:15:48.080 --> 0:15:50.760
<v Speaker 1>new air freighters that will end up competing for business

0:15:50.840 --> 0:15:54.160
<v Speaker 1>with converted passenger jets. To help explain what that means

0:15:54.200 --> 0:15:57.480
<v Speaker 1>for the world's two dominant planemakers, we turned to Bloomberg

0:15:57.560 --> 0:16:00.320
<v Speaker 1>Business Week editor Joe Weber and Bloomberg News Era Space

0:16:00.320 --> 0:16:05.120
<v Speaker 1>reporter Julie Johnson pre pandemic um more and more. You know,

0:16:05.680 --> 0:16:09.640
<v Speaker 1>uh palettes were being shipped in the bellies of passenger

0:16:09.680 --> 0:16:13.240
<v Speaker 1>aircraft and um so when all those you know, those

0:16:13.240 --> 0:16:17.040
<v Speaker 1>big planes were parked last year, it just created an

0:16:17.080 --> 0:16:20.840
<v Speaker 1>instant shortage right at the point where everybody was, you know,

0:16:20.920 --> 0:16:25.080
<v Speaker 1>heading online to shop and and we were starting to see,

0:16:25.320 --> 0:16:29.160
<v Speaker 1>you know, logistics start to tighten and and you know,

0:16:29.240 --> 0:16:34.240
<v Speaker 1>the situation is just sort of um um snowballed from there.

0:16:35.040 --> 0:16:39.040
<v Speaker 1>So yeah, so it's crazy. So we're um, just about

0:16:39.160 --> 0:16:43.440
<v Speaker 1>every aging freighter that's air worthy I've heard is back

0:16:43.680 --> 0:16:48.280
<v Speaker 1>in the air right now. Um, like some some museum

0:16:48.280 --> 0:16:50.680
<v Speaker 1>pieces have been brought out of the desert and put

0:16:50.720 --> 0:16:55.440
<v Speaker 1>back um. And and there's also just a flood of

0:16:55.520 --> 0:17:00.720
<v Speaker 1>money coming in to convert um older path cinder jets

0:17:00.760 --> 0:17:03.480
<v Speaker 1>into freighters. And these are going to start to come

0:17:03.520 --> 0:17:08.280
<v Speaker 1>online mid decade, right around the point that the passenger

0:17:08.359 --> 0:17:12.000
<v Speaker 1>jets will be flying again, and Airbus first, and then

0:17:12.200 --> 0:17:15.040
<v Speaker 1>we think a couple of years later Boeing will have

0:17:15.119 --> 0:17:17.199
<v Speaker 1>their new jets out and then we'll have a glut

0:17:17.280 --> 0:17:19.600
<v Speaker 1>right so suppled de mand there it is at work alright,

0:17:19.640 --> 0:17:22.720
<v Speaker 1>better a better start adding windows to the cargo planes

0:17:22.760 --> 0:17:25.880
<v Speaker 1>and getting the passengers seats back in there exactly right.

0:17:25.920 --> 0:17:29.200
<v Speaker 1>I mean, is this just a temporary problem because of

0:17:29.280 --> 0:17:31.879
<v Speaker 1>the supply chain loose or what. No, they think this

0:17:32.000 --> 0:17:36.479
<v Speaker 1>is a fundamental shift that the market, the market, you know,

0:17:36.480 --> 0:17:38.800
<v Speaker 1>shipping is always going to be there and it's always

0:17:38.800 --> 0:17:44.560
<v Speaker 1>going to dominate. But with e commerce, UM, you're seeing

0:17:44.800 --> 0:17:47.639
<v Speaker 1>you know what used to this this whole what was

0:17:47.680 --> 0:17:51.600
<v Speaker 1>described to me as fragmentation. So instead of the ships

0:17:51.640 --> 0:17:54.119
<v Speaker 1>coming in these steady waves that you could you know,

0:17:54.200 --> 0:17:57.760
<v Speaker 1>set your watch by from from China so that the

0:17:57.800 --> 0:18:01.760
<v Speaker 1>goods would be on the shelves for Halloween and Christmas, UM,

0:18:02.280 --> 0:18:05.160
<v Speaker 1>we're seeing more and more of that move to palletts

0:18:05.760 --> 0:18:10.680
<v Speaker 1>UM in cargo ships and then also into packages um

0:18:10.760 --> 0:18:14.720
<v Speaker 1>that also traveled by air and maybe in smaller airplanes,

0:18:14.920 --> 0:18:19.439
<v Speaker 1>you know, for Amazon and its counterparts. So I I

0:18:19.960 --> 0:18:24.440
<v Speaker 1>you know, post COVID, I don't think that trend is reversing. UM.

0:18:24.560 --> 0:18:27.160
<v Speaker 1>So there is going to be demand, but there's just

0:18:27.520 --> 0:18:32.640
<v Speaker 1>a crazy amount of of supply being created to meet

0:18:32.680 --> 0:18:35.640
<v Speaker 1>that demand. Okay, there's supply, there's man and then there's

0:18:35.800 --> 0:18:38.960
<v Speaker 1>just good old fashioned rivalries and like Boeing air Bus

0:18:39.040 --> 0:18:41.440
<v Speaker 1>that is like one of the one of the best ones,

0:18:41.880 --> 0:18:44.400
<v Speaker 1>who's got the upper hand in the in the revelry,

0:18:44.440 --> 0:18:48.240
<v Speaker 1>at least in this chapter of it. Boeing. This this

0:18:48.400 --> 0:18:53.320
<v Speaker 1>is Boeing's world. I mean, um, so about of the

0:18:53.960 --> 0:18:59.160
<v Speaker 1>world's air cargo right now travels on Boeing or McDonald Douglas,

0:18:59.200 --> 0:19:04.600
<v Speaker 1>which Boeing bo jets and um and I think Airbus

0:19:05.000 --> 0:19:07.160
<v Speaker 1>has woken up to the fact that Boeing this year

0:19:07.240 --> 0:19:10.600
<v Speaker 1>has been selling a lot of freighters. Airbus really doesn't

0:19:10.640 --> 0:19:13.879
<v Speaker 1>have anything in the market, and so they're going to

0:19:14.040 --> 0:19:17.480
<v Speaker 1>try and crack you know, yet another part of the

0:19:17.520 --> 0:19:19.960
<v Speaker 1>market the Boeing is dominated. Well, I do wonder what

0:19:20.040 --> 0:19:21.960
<v Speaker 1>the play is Julie. Here is it? You know, the

0:19:22.000 --> 0:19:25.280
<v Speaker 1>planes from Airbus and Boeing, the brand new ones or

0:19:25.320 --> 0:19:28.680
<v Speaker 1>I love this line your story. Um uh that talks

0:19:28.720 --> 0:19:32.520
<v Speaker 1>about I guess a big jet a seven seven seven,

0:19:32.520 --> 0:19:35.560
<v Speaker 1>a triple seven three er could cost upwards of a

0:19:35.600 --> 0:19:38.520
<v Speaker 1>hundred fifty million dollars. Knew a decade ago. Now you

0:19:38.520 --> 0:19:40.720
<v Speaker 1>can pick it up for a mere twenty million dollars.

0:19:40.800 --> 0:19:43.639
<v Speaker 1>Sounds like a bargain and then you retrofit it. So

0:19:43.760 --> 0:19:46.520
<v Speaker 1>is it those who are leasing old planes that are

0:19:46.600 --> 0:19:50.000
<v Speaker 1>kind of the investment play here potentially. Yeah, well this

0:19:50.080 --> 0:19:52.199
<v Speaker 1>is we could go on and on, but part of

0:19:52.240 --> 0:19:55.760
<v Speaker 1>the issue is that Boeing and Airbus UM kind of

0:19:56.080 --> 0:20:00.479
<v Speaker 1>got greedy a decade ago and and pushed pumped an

0:20:00.640 --> 0:20:04.840
<v Speaker 1>enormous number of these huge wide bodies out into the

0:20:04.880 --> 0:20:09.199
<v Speaker 1>market and UM, so that market is glutted, prices have

0:20:09.440 --> 0:20:15.320
<v Speaker 1>collapsed and really new you know, in airplane terms, jets

0:20:15.440 --> 0:20:20.159
<v Speaker 1>are being sidelined and either scrapped or um. You know,

0:20:20.200 --> 0:20:23.040
<v Speaker 1>another way to get money out of that airframe is

0:20:23.080 --> 0:20:25.920
<v Speaker 1>to turn it into a freighter. That's Bloomberg News aerospace

0:20:25.960 --> 0:20:28.959
<v Speaker 1>reporter Julie Johnson along with the editor of Business Week magazine,

0:20:29.000 --> 0:20:31.680
<v Speaker 1>Joe Webber. You're listening to Bloomberg business Week up next.

0:20:31.720 --> 0:20:34.359
<v Speaker 1>He backed Jeff Bezos, says he was creating Amazon and

0:20:34.440 --> 0:20:36.919
<v Speaker 1>Larry Page, Sir Gay Brand and Eric Schmidt as they

0:20:36.920 --> 0:20:40.160
<v Speaker 1>were building Google. Now he's setting his sights even higher.

0:20:40.200 --> 0:20:42.520
<v Speaker 1>I couldn't wait to talk to this guy. Legendary venture

0:20:42.520 --> 0:20:45.320
<v Speaker 1>capitalist John dor laying out an action plan to solve

0:20:45.359 --> 0:20:49.439
<v Speaker 1>what maybe the biggest crisis of our lifetime that's coming up.

0:20:49.600 --> 0:21:01.879
<v Speaker 1>This is Bloomberg. Your listening to Bloomberg Business Week with

0:21:02.000 --> 0:21:06.600
<v Speaker 1>Carol Messer and Bloomberg Quick Takes Tim Stinovich from Bloomberg Radio.

0:21:08.440 --> 0:21:11.000
<v Speaker 1>So when you think about the venture capital world and

0:21:11.040 --> 0:21:14.520
<v Speaker 1>those that supported the entrepreneurs that helped build today's high

0:21:14.560 --> 0:21:18.280
<v Speaker 1>tech society and really the world's most influential tech companies,

0:21:18.320 --> 0:21:20.400
<v Speaker 1>then you've got to think of our next guest. John

0:21:20.440 --> 0:21:22.639
<v Speaker 1>Dora went to work for Kleiner Perkins all the way

0:21:22.640 --> 0:21:26.399
<v Speaker 1>back in It's a company where he now serves as chairman.

0:21:26.560 --> 0:21:28.800
<v Speaker 1>He was an original investor in board member at a

0:21:28.840 --> 0:21:34.359
<v Speaker 1>small company called Amazon, another small company called Google. It

0:21:34.520 --> 0:21:37.400
<v Speaker 1>back in the likes of Larry Page, Serge Bryn, Jeff Bezos,

0:21:37.480 --> 0:21:39.080
<v Speaker 1>and many more. He really had a front seat to

0:21:39.160 --> 0:21:41.919
<v Speaker 1>so much that is so substantial in our world today.

0:21:42.119 --> 0:21:45.200
<v Speaker 1>He has seen innovation and disruption up close and personal.

0:21:45.560 --> 0:21:48.320
<v Speaker 1>Now he hopes that same mentality can help us address

0:21:48.320 --> 0:21:51.040
<v Speaker 1>and fix the climate crisis. Door leays it all out

0:21:51.080 --> 0:21:53.760
<v Speaker 1>in his new book, Speed and Scale, An Action Plan

0:21:53.880 --> 0:21:56.800
<v Speaker 1>for Solving Our Climate Crisis Now. He told Carol and

0:21:56.960 --> 0:22:00.680
<v Speaker 1>Bloomberg News cross Asset reporter Katie Greifeld that he set

0:22:00.680 --> 0:22:03.000
<v Speaker 1>out to create this framework way back in two thousand

0:22:03.119 --> 0:22:06.280
<v Speaker 1>six after seeing the documentary An Inconvenient Truth with his

0:22:06.320 --> 0:22:09.480
<v Speaker 1>then teenage daughter Mary. I had gone with some friends

0:22:09.480 --> 0:22:13.760
<v Speaker 1>in her to see Al Gore's epic movie. But that

0:22:13.920 --> 0:22:18.560
<v Speaker 1>put really the climate crisis. I think in the global conversation.

0:22:18.880 --> 0:22:22.119
<v Speaker 1>Eight million people saw that movie. But at at dinner,

0:22:22.600 --> 0:22:25.120
<v Speaker 1>we went around the table and I had a number

0:22:25.160 --> 0:22:28.080
<v Speaker 1>of my Republicans friends there and we talked about, well,

0:22:28.480 --> 0:22:32.239
<v Speaker 1>is is the world getting warmer? Yes? Is it man

0:22:32.320 --> 0:22:35.080
<v Speaker 1>made or not? There we had some disagreement over that

0:22:35.119 --> 0:22:39.040
<v Speaker 1>at the time, uh, but then we asked people what

0:22:39.080 --> 0:22:42.920
<v Speaker 1>they thought, and when it came to Mary, she turned

0:22:42.920 --> 0:22:47.880
<v Speaker 1>to me and she said, Dad, your generation created this problem.

0:22:48.040 --> 0:22:53.320
<v Speaker 1>You better fix it. And I had no idea what

0:22:53.440 --> 0:22:56.159
<v Speaker 1>to say or what to do. I was I was speechless.

0:22:56.440 --> 0:22:59.199
<v Speaker 1>She said, I'm scared and I'm angry. And so I

0:22:59.240 --> 0:23:04.840
<v Speaker 1>set out with my partners to understand climate technologies, the markets,

0:23:05.400 --> 0:23:09.080
<v Speaker 1>the innovation, the forces at work. And over time we

0:23:10.240 --> 0:23:13.880
<v Speaker 1>devoted over three of our venture funds a billion dollars

0:23:13.920 --> 0:23:18.480
<v Speaker 1>to about seventy climate tech startups. And it was hard.

0:23:18.840 --> 0:23:21.760
<v Speaker 1>It looked for a while like the portfolio would fail,

0:23:22.280 --> 0:23:25.840
<v Speaker 1>but we stood by these entrepreneurs and today that that

0:23:26.040 --> 0:23:29.119
<v Speaker 1>billion dollars is worth three billion dollars and companies like

0:23:29.920 --> 0:23:34.239
<v Speaker 1>Beyond Meat and Bays and and other investments. So what

0:23:34.320 --> 0:23:37.640
<v Speaker 1>I learned from that is it takes guts and courage

0:23:37.760 --> 0:23:41.280
<v Speaker 1>and staying power and it's hard. But that was then

0:23:41.359 --> 0:23:45.280
<v Speaker 1>and this is now. And you know, Testless what the

0:23:45.560 --> 0:23:49.280
<v Speaker 1>seventh most valuable company in the world, and innovations and

0:23:49.480 --> 0:23:53.080
<v Speaker 1>clean the transition to a clean energy economy. This is

0:23:53.119 --> 0:23:56.640
<v Speaker 1>the biggest opportunity of our lives. I'm convinced. And John,

0:23:56.640 --> 0:23:59.160
<v Speaker 1>I want to hear more about the action plan that

0:23:59.240 --> 0:24:02.840
<v Speaker 1>you lay out in the book. I mean, what steps

0:24:02.880 --> 0:24:05.720
<v Speaker 1>do you view are needed to take now to address

0:24:05.960 --> 0:24:09.920
<v Speaker 1>this climate crisis. Well, uh, one thing your listeners can

0:24:09.920 --> 0:24:11.760
<v Speaker 1>do is they can go to speed and Scale dot

0:24:11.800 --> 0:24:15.360
<v Speaker 1>com and get the plan for free. So it it's

0:24:15.520 --> 0:24:20.920
<v Speaker 1>ten great big objectives. The first six of those are solutions.

0:24:21.160 --> 0:24:23.480
<v Speaker 1>In the latter four speed ups. I'll just go through

0:24:23.480 --> 0:24:28.560
<v Speaker 1>the solutions issue with you. If we electrify transportation, which

0:24:28.600 --> 0:24:32.080
<v Speaker 1>means stop using gasoline and diesel for our vehicles, then

0:24:32.240 --> 0:24:36.160
<v Speaker 1>number two, de carbonize the grid by shifting to wind

0:24:36.200 --> 0:24:39.720
<v Speaker 1>and solar and safe nuclear. And then number three fix

0:24:39.760 --> 0:24:44.919
<v Speaker 1>our food systems, which means eating less meat and dairy,

0:24:45.040 --> 0:24:49.360
<v Speaker 1>not stopping, but less while improving how we grow our

0:24:49.400 --> 0:24:52.600
<v Speaker 1>crops and reducing food waste. And if we do that,

0:24:52.680 --> 0:24:57.400
<v Speaker 1>while number four we protect nature which is to stop deforestation,

0:24:57.520 --> 0:25:01.919
<v Speaker 1>protect our oceans, and five clean up industry, especially the

0:25:01.960 --> 0:25:05.959
<v Speaker 1>making of steel and cement is a very dirty carbon

0:25:06.119 --> 0:25:11.360
<v Speaker 1>generating process. We can innovate around that. And then finally,

0:25:11.720 --> 0:25:13.840
<v Speaker 1>as hard as we work at this, we're never going

0:25:13.880 --> 0:25:17.600
<v Speaker 1>to eliminate all carbon emissions. So the I p c C,

0:25:17.840 --> 0:25:20.680
<v Speaker 1>the U N. Scientific body says, we've got to find

0:25:20.760 --> 0:25:25.840
<v Speaker 1>ways to remove carbon that's being admitted on an ongoing basis,

0:25:26.080 --> 0:25:29.640
<v Speaker 1>are already in the air. That's the sixth big goal.

0:25:30.359 --> 0:25:33.080
<v Speaker 1>Now we don't just have to do these six things

0:25:33.119 --> 0:25:35.000
<v Speaker 1>and do them all at once. It's going to be

0:25:35.040 --> 0:25:38.240
<v Speaker 1>a tall, tall order. We got to do them fast.

0:25:38.840 --> 0:25:41.480
<v Speaker 1>So the big objective, the big objective is to get

0:25:41.480 --> 0:25:47.119
<v Speaker 1>this done to net zero by you mentioned Tesla. You

0:25:47.160 --> 0:25:49.879
<v Speaker 1>know what are the companies who are the innovators that

0:25:49.960 --> 0:25:52.600
<v Speaker 1>you really are falling there saying they're making a difference.

0:25:52.640 --> 0:25:54.160
<v Speaker 1>These are the companies that are going to be around

0:25:54.200 --> 0:25:56.359
<v Speaker 1>for the long term because they get it when it

0:25:56.400 --> 0:26:00.280
<v Speaker 1>comes to climate change. There's so many companies test for

0:26:00.320 --> 0:26:03.840
<v Speaker 1>sure is one. The transportation sector is a huge area

0:26:03.960 --> 0:26:08.040
<v Speaker 1>for innovation, so companies that are making better batteries. For example,

0:26:08.280 --> 0:26:12.600
<v Speaker 1>it's estimated that the market to electrify all transportation is

0:26:12.720 --> 0:26:17.640
<v Speaker 1>four hundred billion dollars of batteries per year. That's five

0:26:17.680 --> 0:26:21.320
<v Speaker 1>times bigger than the US online advertising market that my

0:26:21.440 --> 0:26:24.840
<v Speaker 1>friends at at Google and Facebook are fighting over. So

0:26:25.840 --> 0:26:30.960
<v Speaker 1>nd phase energy, quantum escape uh Larry Fink has said

0:26:31.040 --> 0:26:34.720
<v Speaker 1>he thinks there will be a thousand unicorns. That's a

0:26:34.760 --> 0:26:38.320
<v Speaker 1>thousand companies worth a billion dollars or more in this

0:26:38.440 --> 0:26:41.159
<v Speaker 1>climate tech sector. The E s G money, does it

0:26:41.240 --> 0:26:43.080
<v Speaker 1>make sense because there's a lot of people are saying,

0:26:43.080 --> 0:26:45.040
<v Speaker 1>you know, at E s G Money, there's not really

0:26:45.040 --> 0:26:48.120
<v Speaker 1>great metrics for measuring. Do you think it's being as

0:26:48.160 --> 0:26:50.080
<v Speaker 1>productive as it could be? When it comes to climate

0:26:50.160 --> 0:26:54.680
<v Speaker 1>change initiatives, the data shows that investments and sustainability outperform

0:26:54.800 --> 0:26:58.119
<v Speaker 1>those that don't. So my answer is yes, do we

0:26:58.280 --> 0:27:01.640
<v Speaker 1>have until to get a lot of this done? This

0:27:01.720 --> 0:27:04.840
<v Speaker 1>is the decisive decade You're on an important point. We

0:27:04.880 --> 0:27:08.760
<v Speaker 1>have to cut emissions in half by the end of

0:27:08.760 --> 0:27:12.320
<v Speaker 1>this decade to have a reasonable chance of having a

0:27:12.359 --> 0:27:18.880
<v Speaker 1>habitable planet in so, no, we have to reduce emissions.

0:27:19.600 --> 0:27:22.040
<v Speaker 1>That's eight percent next year and eight percent the year

0:27:22.080 --> 0:27:25.720
<v Speaker 1>after that and after that. We have not reduced emissions

0:27:25.760 --> 0:27:30.520
<v Speaker 1>in the history of civilization except briefly during the pandemic.

0:27:31.240 --> 0:27:33.679
<v Speaker 1>We've got work to do well when it comes to,

0:27:34.080 --> 0:27:37.240
<v Speaker 1>you know, cutting emissions, doing this work, turning this into

0:27:37.320 --> 0:27:41.199
<v Speaker 1>code read actions. I mean, who is at the forefront here,

0:27:41.200 --> 0:27:45.360
<v Speaker 1>who's responsible for that? Does that fall more on corporations

0:27:45.840 --> 0:27:50.159
<v Speaker 1>or governments to really take a leadership role there. We

0:27:50.240 --> 0:27:56.560
<v Speaker 1>need corporations, we need governments, we need leaders, we need uh, nonprofits,

0:27:56.600 --> 0:28:00.240
<v Speaker 1>we need entrepreneurs. Of all these parties, the one that

0:28:00.280 --> 0:28:03.280
<v Speaker 1>are lagging in my estimation are the governments of the world.

0:28:03.880 --> 0:28:08.320
<v Speaker 1>They're responsive to their political forces, and we have not

0:28:08.520 --> 0:28:12.080
<v Speaker 1>made climate a top two voting issue in the twenty

0:28:12.200 --> 0:28:14.919
<v Speaker 1>largest emitters. It is in Europe now, it's not in

0:28:14.960 --> 0:28:17.919
<v Speaker 1>the US, it's not in China, it's not in India.

0:28:18.359 --> 0:28:21.000
<v Speaker 1>We have work to do to win the politics and

0:28:21.040 --> 0:28:25.199
<v Speaker 1>the policy to elect government officials who make this a

0:28:25.280 --> 0:28:28.240
<v Speaker 1>top priority. Hey, John, one thing I wonder about, and

0:28:28.400 --> 0:28:33.000
<v Speaker 1>you're someone who understands capital flows and going into innovation, right,

0:28:33.600 --> 0:28:36.920
<v Speaker 1>what I wonder is, as we track the k Katie

0:28:36.920 --> 0:28:38.840
<v Speaker 1>and I tracked the public markets and everybody here at

0:28:38.840 --> 0:28:41.080
<v Speaker 1>Bloomberg day in and day out, how is it that

0:28:41.120 --> 0:28:45.200
<v Speaker 1>companies will move aggressively enough unless there are some kind

0:28:45.240 --> 0:28:49.080
<v Speaker 1>of measurements or metrics or penalties. So when they report earnings,

0:28:49.080 --> 0:28:53.360
<v Speaker 1>for instance, shouldn't there be a climate metric that you

0:28:53.400 --> 0:28:56.959
<v Speaker 1>get penalized on if you're not being aggressive enough? Like,

0:28:57.320 --> 0:28:59.760
<v Speaker 1>how do we need something like that in order to

0:28:59.800 --> 0:29:05.400
<v Speaker 1>really make certainly the corporate sector move fast enough. We do,

0:29:05.560 --> 0:29:09.680
<v Speaker 1>and it's happening. There's the Net Zero Investor Alliance, which

0:29:09.760 --> 0:29:13.520
<v Speaker 1>has a hundred and fifty trillion dollars of investor capital

0:29:14.000 --> 0:29:19.680
<v Speaker 1>committed to UH invest in companies that have made and

0:29:19.760 --> 0:29:23.800
<v Speaker 1>declared and report on pledges to achieve net zero. I'm

0:29:23.840 --> 0:29:27.240
<v Speaker 1>really pleased by the movement underway in the investment community.

0:29:28.040 --> 0:29:31.200
<v Speaker 1>I'm really pleased. Are our goal is to have a

0:29:31.240 --> 0:29:34.360
<v Speaker 1>hundred percent of Fortune Global five hundred companies commit to

0:29:34.400 --> 0:29:41.000
<v Speaker 1>net zero by Walmart has committed they're going to do that.

0:29:41.160 --> 0:29:44.480
<v Speaker 1>Amazon's leading a coalition of companies that are doing the

0:29:44.520 --> 0:29:49.200
<v Speaker 1>same things. So UH investors demanded employees insist on it.

0:29:49.800 --> 0:29:51.560
<v Speaker 1>It's the right thing to do. And I mean you

0:29:51.680 --> 0:29:53.760
<v Speaker 1>definitely have seen that demand if you look at the

0:29:53.760 --> 0:29:56.440
<v Speaker 1>flows into some of these e s G funds and

0:29:56.520 --> 0:29:59.800
<v Speaker 1>e s G investments. But I mean, in the past year,

0:30:00.000 --> 0:30:03.600
<v Speaker 1>I've really seen a lot of concerns about greenwashing come

0:30:03.680 --> 0:30:07.440
<v Speaker 1>to the forefront. I mean, I'm curious your thoughts on that.

0:30:07.520 --> 0:30:10.040
<v Speaker 1>How much of an issue you think it is? And

0:30:10.080 --> 0:30:14.240
<v Speaker 1>I mean, how can investors discern that they're actually putting

0:30:14.240 --> 0:30:19.960
<v Speaker 1>their money behind sustainable causes? Well, we need audits, we

0:30:20.040 --> 0:30:24.320
<v Speaker 1>need reporting, we need standards for higher quality what are

0:30:24.440 --> 0:30:28.280
<v Speaker 1>called offsets. But more than anything else, we need to

0:30:28.320 --> 0:30:31.320
<v Speaker 1>cut the fifty nine giga tons of emissions we have

0:30:31.520 --> 0:30:36.600
<v Speaker 1>every year to net zero. We've got to reduce emissions,

0:30:36.880 --> 0:30:41.040
<v Speaker 1>then conserve energy and at the same time remove some

0:30:41.160 --> 0:30:43.920
<v Speaker 1>of the stubborn carbon that's that's still out there. What

0:30:44.080 --> 0:30:46.000
<v Speaker 1>is it that worries you so much when you hear

0:30:46.000 --> 0:30:48.560
<v Speaker 1>statistics about the climate change or about climate change? Is

0:30:48.560 --> 0:30:52.560
<v Speaker 1>a deforestation or what deforestation stopping it? Which is one

0:30:52.560 --> 0:30:59.160
<v Speaker 1>of the outcomes of the of the cop process is

0:30:58.480 --> 0:31:01.880
<v Speaker 1>uh is an encourage pledge. There was a pledge to

0:31:01.920 --> 0:31:07.040
<v Speaker 1>reduce methane emissions by that's a fast acting improvement, but

0:31:07.200 --> 0:31:10.040
<v Speaker 1>the pledges are one thing. It's the action that follows

0:31:10.080 --> 0:31:12.240
<v Speaker 1>that we need to track. That's John dor chairman of

0:31:12.320 --> 0:31:14.960
<v Speaker 1>Kleiner Perkins, with me and Katie Greifeld. Just new book

0:31:15.000 --> 0:31:17.440
<v Speaker 1>by the way out this week. It's called Speed and Scale,

0:31:17.480 --> 0:31:20.600
<v Speaker 1>An Action Plan for Solving Our Climate Crisis. Now a

0:31:20.720 --> 0:31:24.160
<v Speaker 1>very timely conversation considering CUP twenty six Sumit just finishing

0:31:24.240 --> 0:31:27.040
<v Speaker 1>up in Glasgow on Friday. That wraps up the first

0:31:27.040 --> 0:31:29.440
<v Speaker 1>hour of the weekend edition of Bloomberg Business Week from

0:31:29.440 --> 0:31:32.240
<v Speaker 1>Bloomberg Radio. I'm Tim Stanovic and I'm Carol mass Or.

0:31:32.360 --> 0:31:34.240
<v Speaker 1>Head in our next hour a deeper dive into this

0:31:34.240 --> 0:31:37.440
<v Speaker 1>week's special New Economy issue. We're talking about the struggles

0:31:37.440 --> 0:31:40.960
<v Speaker 1>facing a key demographic in the global labor force. Also

0:31:41.040 --> 0:31:45.040
<v Speaker 1>Google satellite Imagery, Treasure Trove, and yes, Tim, we're talking

0:31:45.080 --> 0:31:47.880
<v Speaker 1>about colonizing Mores. We're going there, and we're going there.

0:31:47.880 --> 0:31:49.120
<v Speaker 1>We well, we might not have a choice if the

0:31:49.160 --> 0:31:51.320
<v Speaker 1>housing market keeps going like it is. Now. We're going

0:31:51.360 --> 0:31:54.200
<v Speaker 1>to talk to the CEO of Invitation Homes Dallas Tanner.

0:31:54.480 --> 0:31:56.520
<v Speaker 1>Will also get a closer look at Zillo, the real

0:31:56.640 --> 0:32:00.000
<v Speaker 1>estate platform hit hard after its home valuation algorithm leads

0:32:00.000 --> 0:32:02.760
<v Speaker 1>to a loss of more than five million dollars to Storty,

0:32:02.840 --> 0:32:05.840
<v Speaker 1>Amazing and coming up next every chorus, Mark Mahaney reveals

0:32:05.880 --> 0:32:08.600
<v Speaker 1>his ten proven rules for succeeding as a long term

0:32:08.640 --> 0:32:11.880
<v Speaker 1>tech stock investor. They're all in his new book, Nothing

0:32:11.920 --> 0:32:21.840
<v Speaker 1>But Net. This is Bloomberg. This is Bloomberg Business Week

0:32:22.120 --> 0:32:25.400
<v Speaker 1>Inside from the reporters and editors who bring you America's

0:32:25.440 --> 0:32:29.440
<v Speaker 1>most trusted business magazine, plus global business finance and tech

0:32:29.520 --> 0:32:33.360
<v Speaker 1>news As it happened, Sloomberg Business Week with Carol Messer

0:32:33.520 --> 0:32:38.440
<v Speaker 1>and Bloomberg Quick Takes Tim Stinevik on Bloomberg Radio. Hi

0:32:38.520 --> 0:32:41.000
<v Speaker 1>Am Carol Masser and Tim Stanobek Plinny ahead in our

0:32:41.040 --> 0:32:43.480
<v Speaker 1>second hour of the weekend edition of Bloomberg Business Week,

0:32:43.560 --> 0:32:48.040
<v Speaker 1>including Zillo's home flipping Flop how a home valuation algorithm

0:32:48.040 --> 0:32:50.960
<v Speaker 1>turned America's best known real estate company on it's ear.

0:32:51.120 --> 0:32:53.840
<v Speaker 1>We'll also here from the CEO of Invitation Homes. It's

0:32:53.840 --> 0:32:56.800
<v Speaker 1>the largest owner of single family rental homes in the US.

0:32:56.920 --> 0:32:59.600
<v Speaker 1>They've got eighty thousand and counting. Talking a lot about

0:32:59.640 --> 0:33:02.920
<v Speaker 1>housing this week, plus our cover story, It's a special

0:33:02.960 --> 0:33:06.400
<v Speaker 1>New Economy takeover ahead of the upcoming Bloomberg New Economy

0:33:06.440 --> 0:33:09.480
<v Speaker 1>Forum in Singapore. We've got some important stories from our

0:33:09.520 --> 0:33:12.280
<v Speaker 1>Business Week team about the challenges facing us here on

0:33:12.320 --> 0:33:16.360
<v Speaker 1>Earth and uh yeah beyond. Yeah, we're seriously talking about

0:33:16.400 --> 0:33:19.040
<v Speaker 1>colonizing Mars. You're gonna want to stick around for that one,

0:33:19.080 --> 0:33:21.760
<v Speaker 1>because there are some serious challenges when it comes to

0:33:21.880 --> 0:33:24.760
<v Speaker 1>colonizing Mars. Well, first up this hour, the Right Way

0:33:24.760 --> 0:33:28.160
<v Speaker 1>to invest in tech companies. Mark Mahaney is the Managing director,

0:33:28.240 --> 0:33:31.400
<v Speaker 1>head of Internet Research at Evercore I s I. He's

0:33:31.400 --> 0:33:33.480
<v Speaker 1>got a new book out this week. It's called Nothing

0:33:33.520 --> 0:33:36.600
<v Speaker 1>But net ten Timeless stock picking lessons from one of

0:33:36.600 --> 0:33:39.800
<v Speaker 1>Wall Street's top tech analysts. Mark joined us to break

0:33:39.800 --> 0:33:42.120
<v Speaker 1>down the keys to building a solid tech portfolio for

0:33:42.160 --> 0:33:43.760
<v Speaker 1>the long run. Well, I'm going to start off with

0:33:44.120 --> 0:33:47.200
<v Speaker 1>one one warning and then one good piece of news.

0:33:47.520 --> 0:33:50.840
<v Speaker 1>So the one warning is again, these markets a hories

0:33:50.880 --> 0:33:54.880
<v Speaker 1>falto and even the best stocks, even the best franchises,

0:33:55.240 --> 0:33:58.240
<v Speaker 1>can underperform for periods of time. They will get dislocated.

0:33:58.360 --> 0:34:01.080
<v Speaker 1>You know, I think about these wonderful full names that

0:34:01.320 --> 0:34:04.160
<v Speaker 1>combined for this acronym called fang, Facebook, games on Netflix,

0:34:04.160 --> 0:34:06.400
<v Speaker 1>and Google. You look at those stocks, they've each had

0:34:06.440 --> 0:34:09.719
<v Speaker 1>twenty to thirty, even as much as forty corrections over

0:34:09.760 --> 0:34:12.600
<v Speaker 1>the last two, five and ten years despite being dramatic

0:34:12.760 --> 0:34:15.880
<v Speaker 1>market performers, so kind of lessen number one warning to

0:34:15.960 --> 0:34:18.360
<v Speaker 1>us all. You know, we've had a pretty robust equity

0:34:18.400 --> 0:34:20.600
<v Speaker 1>market for the last decade or so, so I just

0:34:20.640 --> 0:34:22.440
<v Speaker 1>want to make sure we highlight the risks. But now

0:34:22.520 --> 0:34:25.759
<v Speaker 1>let me highlight the reward. If there's one acronym, if

0:34:25.760 --> 0:34:27.720
<v Speaker 1>there's one thing I want people to get from the book,

0:34:28.000 --> 0:34:31.000
<v Speaker 1>it's the acronym d h Q. Now not dairy queen

0:34:31.160 --> 0:34:33.680
<v Speaker 1>d Q, but d h Q, which stands for dislocated

0:34:33.760 --> 0:34:36.120
<v Speaker 1>high quality companies. If you're investing in the market, you

0:34:36.160 --> 0:34:38.320
<v Speaker 1>want to do two things. You want to mitigate valuation

0:34:38.360 --> 0:34:41.760
<v Speaker 1>with risk and you want to mitigate fundamentals risk. Valuation

0:34:41.880 --> 0:34:43.880
<v Speaker 1>risk is, you know, buying a stock news multiple is

0:34:43.920 --> 0:34:46.840
<v Speaker 1>too high, and fundamentals risk is buying a company and

0:34:46.840 --> 0:34:49.160
<v Speaker 1>then watching it blow up a revenue growth sharply to

0:34:49.160 --> 0:34:53.279
<v Speaker 1>accelerate margins, collapse, etcetera. The way to hedge that second risk,

0:34:53.320 --> 0:34:56.200
<v Speaker 1>that fundamental's risk, is to focus on high quality names.

0:34:56.360 --> 0:34:57.960
<v Speaker 1>So I spent a fair amount of time looking at

0:34:58.000 --> 0:35:03.240
<v Speaker 1>things like Total adjustable markets Management SKILLE especially products, successful

0:35:03.239 --> 0:35:07.120
<v Speaker 1>product innovation, and really strong customer value props or propositions.

0:35:07.360 --> 0:35:10.200
<v Speaker 1>You put that package together those four things that will

0:35:10.239 --> 0:35:12.319
<v Speaker 1>create a high quality company in which you want to

0:35:12.360 --> 0:35:15.399
<v Speaker 1>do and imedging both of those risks. Identify the high

0:35:15.480 --> 0:35:18.080
<v Speaker 1>quality companies and then wait for that dislocation, wait for

0:35:18.080 --> 0:35:20.919
<v Speaker 1>them to trade out twenty and then buy or add

0:35:20.960 --> 0:35:23.279
<v Speaker 1>the positions being a question for you, Yeah, Mark, you

0:35:23.480 --> 0:35:25.400
<v Speaker 1>start out your book by writing that you're the oldest

0:35:25.400 --> 0:35:28.640
<v Speaker 1>and longest lasting Internet analyst on Wall Street. What has

0:35:28.719 --> 0:35:31.120
<v Speaker 1>kept you in the job for this amount of time

0:35:31.160 --> 0:35:32.960
<v Speaker 1>because you've certainly could have gone and worked a lot

0:35:33.000 --> 0:35:36.480
<v Speaker 1>of places. Well, I I enjoy the work and uh

0:35:36.480 --> 0:35:39.760
<v Speaker 1>and I'm lucky to be covering a sector that's extremely dynamic.

0:35:40.000 --> 0:35:41.919
<v Speaker 1>If you're going to spend the last twenty five years

0:35:42.040 --> 0:35:44.319
<v Speaker 1>working on Wall Street, you know you would want to

0:35:44.320 --> 0:35:47.760
<v Speaker 1>to have either covered Internet stocks, invested in Internet stocks,

0:35:47.920 --> 0:35:50.600
<v Speaker 1>maybe software. Those are the kind of the two areas

0:35:50.600 --> 0:35:52.880
<v Speaker 1>that have been the most knownst dynamic in terms of

0:35:52.880 --> 0:35:56.000
<v Speaker 1>also new companies coming in. I mean, the Internet created

0:35:56.080 --> 0:35:58.960
<v Speaker 1>three of the largest world you know cap companies in

0:35:59.000 --> 0:36:03.359
<v Speaker 1>the world, Amazon, Facebook and Google and by the way,

0:36:03.440 --> 0:36:06.279
<v Speaker 1>Microsoft and Apple. The reason that they are where they

0:36:06.320 --> 0:36:10.840
<v Speaker 1>are is because they've created wonderful services, product devices for

0:36:10.920 --> 0:36:14.120
<v Speaker 1>accessing and utilizing the Internet. So it's really been I've

0:36:14.160 --> 0:36:16.399
<v Speaker 1>been lucky to kind of stumble. It was a timing thing.

0:36:16.480 --> 0:36:18.799
<v Speaker 1>I got lucky and stumbled into the Internet. Not at

0:36:18.800 --> 0:36:20.680
<v Speaker 1>the very beginning. I wasn't as smart as out gore,

0:36:20.719 --> 0:36:22.440
<v Speaker 1>but I got in there a really kind of it

0:36:22.600 --> 0:36:25.359
<v Speaker 1>near the beginning of the commercial Internet, and it's been

0:36:25.400 --> 0:36:28.319
<v Speaker 1>just phenomenal and fascinating to watch these companies grow. Is

0:36:28.360 --> 0:36:31.600
<v Speaker 1>the metaverse the next step of the Internet in some way?

0:36:32.000 --> 0:36:35.680
<v Speaker 1>I don't know, but I absolutely think that, Uh, you

0:36:35.760 --> 0:36:38.799
<v Speaker 1>want to be long and name like Facebook because of

0:36:38.840 --> 0:36:41.760
<v Speaker 1>its core business, but because it's also building what's likely

0:36:41.800 --> 0:36:44.799
<v Speaker 1>option value. No, it is option value in terms of

0:36:44.800 --> 0:36:47.239
<v Speaker 1>its investment in the metaverse. Uh you know, Like I

0:36:47.320 --> 0:36:49.799
<v Speaker 1>like to see large platforms have these kind of long

0:36:49.920 --> 0:36:53.160
<v Speaker 1>term bets, like Google with autonomous vehicles and weymo. This

0:36:53.320 --> 0:36:56.200
<v Speaker 1>is Facebook's long term bet. Given the amount of money

0:36:56.239 --> 0:36:58.480
<v Speaker 1>that they're putting into it and the resources. My guess

0:36:58.480 --> 0:37:00.719
<v Speaker 1>is that there's a there there and investors are going

0:37:00.760 --> 0:37:03.200
<v Speaker 1>to appreciate it five years down the road. So mark

0:37:03.360 --> 0:37:05.720
<v Speaker 1>one thing I wanted to ask you. Um, in your book,

0:37:06.160 --> 0:37:09.920
<v Speaker 1>you talk about importance of management, You talk about you know,

0:37:10.120 --> 0:37:13.680
<v Speaker 1>having a product, You talk about revenues over earnings. Like,

0:37:13.880 --> 0:37:15.480
<v Speaker 1>how do we need to think about some of these

0:37:15.480 --> 0:37:18.880
<v Speaker 1>companies that are starting out? We look at Rivan that

0:37:18.960 --> 0:37:21.600
<v Speaker 1>I p o UM is it a car company? Is

0:37:21.600 --> 0:37:24.520
<v Speaker 1>it a tech company? It's not expected to be profitable

0:37:24.560 --> 0:37:29.719
<v Speaker 1>for some time or really ampa production for some time. UM,

0:37:29.760 --> 0:37:31.440
<v Speaker 1>how do we need to look at these How do

0:37:31.480 --> 0:37:33.759
<v Speaker 1>you look at companies like that? I know it's not

0:37:33.800 --> 0:37:36.840
<v Speaker 1>an internet company, but that's right. So I what I

0:37:36.880 --> 0:37:38.960
<v Speaker 1>tried to do, Carol, is I really try to focus

0:37:38.960 --> 0:37:41.520
<v Speaker 1>on this framework. You know, there's three or four five

0:37:41.560 --> 0:37:43.560
<v Speaker 1>things I'm really looking for in the company. You now,

0:37:43.840 --> 0:37:46.279
<v Speaker 1>there can be plenty of trading opportunities, but to really

0:37:46.320 --> 0:37:49.000
<v Speaker 1>be kind of a good low core long term investment

0:37:49.600 --> 0:37:51.480
<v Speaker 1>that takes something else. And you know, by the way,

0:37:51.520 --> 0:37:54.279
<v Speaker 1>even these great assets like Amazon today, I don't think

0:37:54.320 --> 0:37:57.320
<v Speaker 1>that was a good core long term investments until something

0:37:57.360 --> 0:37:59.719
<v Speaker 1>like two thousand and six, two thousand and seven, when

0:37:59.760 --> 0:38:03.359
<v Speaker 1>they they could innovate in multiple areas, go from being

0:38:03.360 --> 0:38:07.239
<v Speaker 1>an online book retailer to generating or building or really

0:38:07.400 --> 0:38:10.759
<v Speaker 1>almost inventing could the commercial cloud industry and then rolling

0:38:10.800 --> 0:38:12.960
<v Speaker 1>out these kindle products. You look for those kind of

0:38:12.960 --> 0:38:14.879
<v Speaker 1>proof points. But you know, if I if I check

0:38:14.920 --> 0:38:17.239
<v Speaker 1>off the list, it's one look for companies that are

0:38:17.239 --> 0:38:21.440
<v Speaker 1>facing large TAM's total addressable markets. Uh. Secondly, you look

0:38:21.480 --> 0:38:23.719
<v Speaker 1>for companies with just great management teams. I know that's

0:38:23.760 --> 0:38:25.960
<v Speaker 1>a easy statement to say, so what does it really mean.

0:38:25.960 --> 0:38:28.880
<v Speaker 1>You're looking for companies with great vision like read Hastings

0:38:28.880 --> 0:38:33.600
<v Speaker 1>into launching this company called Netflix, which kind of conjures

0:38:33.680 --> 0:38:36.080
<v Speaker 1>up streaming over the Internet, except you couldn't have streamed

0:38:36.120 --> 0:38:38.439
<v Speaker 1>anything over the internet at least it would have taken

0:38:38.440 --> 0:38:40.920
<v Speaker 1>you hours to download the first five minutes of Terminator

0:38:40.960 --> 0:38:43.480
<v Speaker 1>back then. But he had the vision to know that

0:38:43.760 --> 0:38:47.520
<v Speaker 1>ten years from then, you know, the business would go streaming.

0:38:48.200 --> 0:38:50.600
<v Speaker 1>People would stream video over the Internet. So you look

0:38:50.640 --> 0:38:53.800
<v Speaker 1>for that kind of industry of that vision. That's Marc Mhaney,

0:38:53.880 --> 0:38:56.600
<v Speaker 1>Senior Managing Director, head of Internet Research over at Evercore.

0:38:56.719 --> 0:38:59.200
<v Speaker 1>I s I check out his book Nothing but Net

0:38:59.600 --> 0:39:01.960
<v Speaker 1>Tend to unless stockpicking lessons from one of Wall Street's

0:39:02.000 --> 0:39:05.400
<v Speaker 1>top tech Alice. It's out this week, still ahead. What

0:39:05.520 --> 0:39:07.920
<v Speaker 1>in the world is going on over at Zello how

0:39:07.960 --> 0:39:11.319
<v Speaker 1>an algorithm costs the company hundreds of millions of dollars.

0:39:11.320 --> 0:39:13.799
<v Speaker 1>I may have said, maybe should just have stuck to

0:39:13.840 --> 0:39:17.440
<v Speaker 1>these estimate. Maybe this estimate is the issue. Maybe this estimate.

0:39:17.960 --> 0:39:21.160
<v Speaker 1>You're right, nicely done. You're listening to Bloomberg Business Week.

0:39:21.239 --> 0:39:32.240
<v Speaker 1>This is Bloomberg. This is Bloomberg Business Week with Carol

0:39:32.320 --> 0:39:38.560
<v Speaker 1>Masser and Bloomberg Quick Takes Tim Stenovik from Bloomberg Radio. Alright,

0:39:38.600 --> 0:39:41.399
<v Speaker 1>everybody first came this estimate. We're all obsessed with it, right,

0:39:41.520 --> 0:39:43.560
<v Speaker 1>you know, you've gone down a rabbit hole just checking

0:39:43.600 --> 0:39:45.800
<v Speaker 1>out the values of homes in your neighborhood and beyond.

0:39:46.080 --> 0:39:48.839
<v Speaker 1>Then there were z prices, then the eye buying, then

0:39:49.120 --> 0:39:52.640
<v Speaker 1>the damage and fallout from an algorithm that led Zillo

0:39:52.719 --> 0:39:55.200
<v Speaker 1>down a dangerous path. The subject of a story in

0:39:55.200 --> 0:39:58.520
<v Speaker 1>this week's Technology section from Bloomberg News real estate reporter

0:39:58.600 --> 0:40:01.480
<v Speaker 1>Patrick Clark, it's all about the company's algo fueled buying

0:40:01.480 --> 0:40:04.640
<v Speaker 1>spree ended up seeking its home flipping experiment. Patrick joined

0:40:04.640 --> 0:40:07.520
<v Speaker 1>Carroll and Bloomberg News cross asset reporter Katie Greifeld and

0:40:07.560 --> 0:40:10.320
<v Speaker 1>Business Week editor Joel Webber this past week to explain

0:40:10.320 --> 0:40:13.200
<v Speaker 1>why the real estate platform's plan went south. They did

0:40:13.239 --> 0:40:18.239
<v Speaker 1>it poorly. They said, it's you're exactly right. We we

0:40:18.280 --> 0:40:21.520
<v Speaker 1>did a long Business Week story on Zillo, which is, uh,

0:40:21.719 --> 0:40:26.759
<v Speaker 1>you know, best known for one publishing homeless ins what

0:40:26.920 --> 0:40:29.640
<v Speaker 1>you can then go in Browns and too publishing what

0:40:29.680 --> 0:40:31.960
<v Speaker 1>they called estimates, which is a you know, an attempt

0:40:32.000 --> 0:40:34.399
<v Speaker 1>to approximate the value of just about every home or

0:40:34.640 --> 0:40:35.960
<v Speaker 1>I don't know, I think it's more than a hundred

0:40:36.000 --> 0:40:41.640
<v Speaker 1>million homes in America for first sport. Basically, at some point,

0:40:41.719 --> 0:40:44.080
<v Speaker 1>I guess in two thousand eighteen, they decided to take

0:40:44.280 --> 0:40:47.040
<v Speaker 1>all the people and technology that they used for those

0:40:47.080 --> 0:40:50.919
<v Speaker 1>first two things and apply them to flipping houses, which

0:40:51.000 --> 0:40:53.959
<v Speaker 1>is a you know, I would say, a notoriously sort

0:40:53.960 --> 0:40:57.360
<v Speaker 1>of risky business. It's it's it's it's not the first

0:40:57.360 --> 0:41:00.880
<v Speaker 1>time that a company or you know, offen an individual

0:41:01.840 --> 0:41:04.600
<v Speaker 1>has gotten the business of buying and selling and had

0:41:04.680 --> 0:41:07.880
<v Speaker 1>home prices move on them in the interim period and

0:41:07.960 --> 0:41:10.319
<v Speaker 1>gotten burned and so pout. You write that this is

0:41:10.440 --> 0:41:15.560
<v Speaker 1>a five hundred sixty million dollar cautionary tail. I'm curious

0:41:15.600 --> 0:41:18.600
<v Speaker 1>what are the takeaways that Zillo is going to take

0:41:18.600 --> 0:41:22.120
<v Speaker 1>from this. I mean, obviously they've paused the home flipping experiment.

0:41:22.239 --> 0:41:25.360
<v Speaker 1>Do you expect this to bleed into some of the

0:41:25.360 --> 0:41:27.879
<v Speaker 1>other ways that they operate. I think that their old

0:41:27.880 --> 0:41:31.120
<v Speaker 1>business should be fine. Um, people are still going to

0:41:31.239 --> 0:41:35.280
<v Speaker 1>go to Zillow's websites and apps and look at houses,

0:41:35.280 --> 0:41:36.960
<v Speaker 1>and that's still going to be a great place for

0:41:37.040 --> 0:41:39.440
<v Speaker 1>a real estate agent to get in front of, you know,

0:41:40.040 --> 0:41:43.879
<v Speaker 1>house enters. Basically, they shouldn't have trouble making money that way.

0:41:44.280 --> 0:41:46.920
<v Speaker 1>The question is, you know, number one, how are they

0:41:46.920 --> 0:41:50.560
<v Speaker 1>going to build the sort of hole in their strategic

0:41:50.600 --> 0:41:56.040
<v Speaker 1>purpose that that ending this Dellow offers program created? And

0:41:56.080 --> 0:41:58.719
<v Speaker 1>then too, you know, I mean, I think there is

0:41:58.760 --> 0:42:01.759
<v Speaker 1>a big push just Dillow wasn't just blow doing this.

0:42:01.920 --> 0:42:04.680
<v Speaker 1>There there are other companies in the same I buying

0:42:04.800 --> 0:42:07.160
<v Speaker 1>sort of tech power flipping business as they are. And

0:42:07.160 --> 0:42:09.480
<v Speaker 1>then there are other companies that are are biding off

0:42:09.600 --> 0:42:14.160
<v Speaker 1>different pieces of the housing transaction. Uh it seems fairly

0:42:14.200 --> 0:42:16.319
<v Speaker 1>likely to me that some of them will succeed in

0:42:16.440 --> 0:42:19.360
<v Speaker 1>some form, and we won't, you know, we're not tied

0:42:19.400 --> 0:42:21.880
<v Speaker 1>to this sort of hundred year old method of buying

0:42:21.960 --> 0:42:24.799
<v Speaker 1>or sell in house. So not only did Zilo you know,

0:42:24.840 --> 0:42:26.520
<v Speaker 1>sort of flush the money down the drain. But they

0:42:26.560 --> 0:42:29.040
<v Speaker 1>also they also wasted time that they could have been

0:42:29.120 --> 0:42:32.640
<v Speaker 1>using to, you know, figure out what the big opportunity

0:42:32.719 --> 0:42:34.440
<v Speaker 1>is well. And I feel like until weeber come on

0:42:34.480 --> 0:42:37.800
<v Speaker 1>in of course, the editor Bloomberg Business Week, I felt like, algorithms,

0:42:37.840 --> 0:42:42.320
<v Speaker 1>can't we trust them? Like, don't they know? All right? Yeah? Totally? Um,

0:42:42.440 --> 0:42:45.080
<v Speaker 1>And now that that was sort of I think, Um,

0:42:45.120 --> 0:42:48.640
<v Speaker 1>you know what what sort of inticated Pat wanting I

0:42:48.680 --> 0:42:51.280
<v Speaker 1>wanted to write this story for the for the magazine

0:42:51.320 --> 0:42:53.960
<v Speaker 1>was like, look, as a society, like we've come to

0:42:54.320 --> 0:42:57.080
<v Speaker 1>put a lot of faith in algorithms, and entire business

0:42:57.080 --> 0:42:59.200
<v Speaker 1>models will rest on it. And in this case, the

0:42:59.360 --> 0:43:01.440
<v Speaker 1>sort of a few or of Zello is sort of

0:43:01.560 --> 0:43:06.360
<v Speaker 1>intrinsically tied to this algo and Pat, you know, just curious, like,

0:43:06.400 --> 0:43:10.040
<v Speaker 1>what do we know changed? Did they? Did they juice it?

0:43:10.080 --> 0:43:12.480
<v Speaker 1>Did they did they try and get more than than

0:43:12.960 --> 0:43:15.879
<v Speaker 1>might have they might have wanted? In hindsight, my best

0:43:15.960 --> 0:43:20.640
<v Speaker 1>understanding is, uh, this was more human failure that a

0:43:21.200 --> 0:43:25.280
<v Speaker 1>technology failure. I mean they you know, on the individual um,

0:43:25.320 --> 0:43:28.920
<v Speaker 1>on the level of an individual home. Uh, it's you know,

0:43:29.000 --> 0:43:31.960
<v Speaker 1>it's a computer program telling Zello. Here's how much we

0:43:32.040 --> 0:43:35.600
<v Speaker 1>think it's worth. But number one, when they first started

0:43:35.600 --> 0:43:38.480
<v Speaker 1>doing this, they had human eyeballs on every offer and

0:43:38.560 --> 0:43:41.920
<v Speaker 1>multiple touchpoints where a person was saying that this makes sense.

0:43:42.000 --> 0:43:44.319
<v Speaker 1>And you know, as they did it more, they got

0:43:44.320 --> 0:43:47.520
<v Speaker 1>more confident in their ability to get pricing right. And

0:43:48.000 --> 0:43:51.480
<v Speaker 1>uh so that's that's number one. Um, if they sort

0:43:51.520 --> 0:43:55.680
<v Speaker 1>of took away all of the the human touch ones.

0:43:55.719 --> 0:43:58.680
<v Speaker 1>But the other thing is they were sort of lagging

0:43:58.719 --> 0:44:02.000
<v Speaker 1>their competition. And you know, there there's open door technologies,

0:44:02.040 --> 0:44:04.799
<v Speaker 1>which is the biggest of these eyebuyers were buying way

0:44:04.840 --> 0:44:07.879
<v Speaker 1>more homes than pillows and very ambitious plans to catch up.

0:44:08.440 --> 0:44:13.480
<v Speaker 1>And uh, you know, they they was very clear to

0:44:13.560 --> 0:44:16.359
<v Speaker 1>them that if they made more aggressive offers, they would

0:44:16.360 --> 0:44:19.080
<v Speaker 1>be able to buy more homes and and and they

0:44:19.120 --> 0:44:21.160
<v Speaker 1>believed they had to buy an awful lot of homes,

0:44:21.480 --> 0:44:24.080
<v Speaker 1>you know, in order to make the business work, and

0:44:24.080 --> 0:44:27.160
<v Speaker 1>and and so they basically just started beating, uh, you know,

0:44:27.200 --> 0:44:29.120
<v Speaker 1>to the best of my knowledge, started just feeding the

0:44:29.520 --> 0:44:36.080
<v Speaker 1>algorithms more aggressive assumptions of home price appreciation. You know,

0:44:36.160 --> 0:44:38.880
<v Speaker 1>so if if if, for instance, like they had been

0:44:38.920 --> 0:44:41.200
<v Speaker 1>assuming that home prices were going to grow twelve per

0:44:41.239 --> 0:44:43.560
<v Speaker 1>said year over year, you know, they said, well, let's

0:44:43.640 --> 0:44:46.920
<v Speaker 1>let's let's see what happens to fortune percent. And I'm

0:44:46.920 --> 0:44:49.520
<v Speaker 1>sure enough they bought a lot of homes. Um, you know,

0:44:49.880 --> 0:44:54.200
<v Speaker 1>the home prices appreciation, it's home home prices are still growing,

0:44:54.280 --> 0:44:59.240
<v Speaker 1>but at a slightly slower pace than they were earlier

0:44:59.280 --> 0:45:02.320
<v Speaker 1>in the year. And Zillow executives have said, is the

0:45:02.320 --> 0:45:05.480
<v Speaker 1>the sort of slowdown was outside the sort of range

0:45:05.520 --> 0:45:08.680
<v Speaker 1>of outcomes they thought more likely. But you know that's

0:45:08.680 --> 0:45:11.799
<v Speaker 1>why when people when they got into this business, people said, well,

0:45:11.840 --> 0:45:14.440
<v Speaker 1>you're exposing yourself to a lot of market risks. So

0:45:14.480 --> 0:45:16.759
<v Speaker 1>you've got a lot of houses that are suddenly on

0:45:16.840 --> 0:45:19.920
<v Speaker 1>the market, Um, that that Zelo would bought. Do we

0:45:19.920 --> 0:45:24.399
<v Speaker 1>have any since yet, who's going to buy these? Um? Yeah,

0:45:24.480 --> 0:45:28.319
<v Speaker 1>we'll see. I mean they've they've sent you know, information

0:45:28.560 --> 0:45:31.680
<v Speaker 1>on you know, something like seven thousand homes the large

0:45:31.719 --> 0:45:35.439
<v Speaker 1>single family landlords. Um. And that's right. I mean, there's

0:45:35.480 --> 0:45:37.520
<v Speaker 1>so much money that has gone into this from an

0:45:37.560 --> 0:45:42.080
<v Speaker 1>institutional standpoint, right, there's been an enormous amount of money

0:45:42.080 --> 0:45:46.880
<v Speaker 1>that's come into that business. Um during the pandemic in particular,

0:45:47.400 --> 0:45:51.040
<v Speaker 1>very appealing way to invest behind like millennial household formation,

0:45:51.160 --> 0:45:54.840
<v Speaker 1>you know, migration to the south and southwest. And also

0:45:54.960 --> 0:45:56.640
<v Speaker 1>just like you gotta put you know, if you're if

0:45:56.680 --> 0:45:58.560
<v Speaker 1>you're at pension, but you gotta put your money somewhere

0:45:58.840 --> 0:46:02.239
<v Speaker 1>in rental houses. Uh is a hot idea right now.

0:46:02.680 --> 0:46:06.560
<v Speaker 1>I think that you know, there's so much demand and

0:46:06.600 --> 0:46:10.200
<v Speaker 1>if it's not clear yet, you know, agree to which

0:46:10.280 --> 0:46:12.920
<v Speaker 1>Zillo launts to transact you know, at a at a

0:46:12.960 --> 0:46:15.960
<v Speaker 1>bulk scale. But you know, people have been telling me

0:46:16.040 --> 0:46:19.160
<v Speaker 1>that if if you could buy um, if you could

0:46:19.160 --> 0:46:21.160
<v Speaker 1>buy two thousand homes, and you know, it's a snap

0:46:21.200 --> 0:46:24.040
<v Speaker 1>of the fingers, and it's not a snap of the fingers, right,

0:46:24.080 --> 0:46:26.640
<v Speaker 1>It's a lot of due diligence in time. But you

0:46:26.680 --> 0:46:28.400
<v Speaker 1>would you might not have to pay, you might not

0:46:28.560 --> 0:46:31.560
<v Speaker 1>get a discount. Right there's like a there's a premium

0:46:31.600 --> 0:46:34.200
<v Speaker 1>you get for being able to deliver bulk to an investor.

0:46:34.280 --> 0:46:36.640
<v Speaker 1>Right now, you will will be able to tap into that.

0:46:36.640 --> 0:46:39.120
<v Speaker 1>That's Bloomberg News real estate reporter Patrick Clark, along with

0:46:39.160 --> 0:46:41.480
<v Speaker 1>Business Week editor Joe Webber at Bloomberg News cross as

0:46:41.480 --> 0:46:43.880
<v Speaker 1>At reporter Katie gray Felt and the day after Patrick's

0:46:43.920 --> 0:46:46.520
<v Speaker 1>story hit, the terminal, Zilla reached an agreement to sell

0:46:46.560 --> 0:46:49.439
<v Speaker 1>about two thousand properties to New York based investment firm

0:46:49.480 --> 0:46:53.080
<v Speaker 1>Pretty and Partners. That's America's second largest single family landlord,

0:46:53.120 --> 0:46:55.840
<v Speaker 1>with more than seventy thousand rental houses in its portfolio.

0:46:55.920 --> 0:46:58.920
<v Speaker 1>All right, so they're the second largest. Who's the largest,

0:46:58.920 --> 0:47:02.080
<v Speaker 1>you might ask, Well, that would be publicly traded Invitation Homes.

0:47:02.360 --> 0:47:05.120
<v Speaker 1>Coming up next, we'll talk with the company's president and CEO.

0:47:05.360 --> 0:47:08.040
<v Speaker 1>Dallas Tanner stops by to talk earnings, expansion and why

0:47:08.080 --> 0:47:10.640
<v Speaker 1>the Zillo fiasco is no reason to doubt the strength

0:47:10.719 --> 0:47:20.600
<v Speaker 1>of America's housing market. This is Bloomberg broadcasting from the

0:47:20.680 --> 0:47:24.520
<v Speaker 1>financial capital of the world Bloomberg eleven Frio in New

0:47:24.600 --> 0:47:29.120
<v Speaker 1>York to Washington, d C. Bloomberg to Boston, Bloomberg one

0:47:29.120 --> 0:47:32.239
<v Speaker 1>oh six one, to San Francisco, Bloomberg nine sixty to

0:47:32.320 --> 0:47:35.400
<v Speaker 1>the country Sirius XM Chado one nine team, and around

0:47:35.480 --> 0:47:39.600
<v Speaker 1>the globe the Bloomberg Business app and Bloomberg Radio dot Com.

0:47:39.600 --> 0:47:44.320
<v Speaker 1>This is Bloomberg Business Week. Invitation Homes is the largest

0:47:44.360 --> 0:47:47.240
<v Speaker 1>owner of single family rental homes in America. It offers

0:47:47.239 --> 0:47:49.880
<v Speaker 1>a variety of services for the more than eighty thousand

0:47:49.960 --> 0:47:53.080
<v Speaker 1>properties in its portfolio, and the company isn't seeing any

0:47:53.160 --> 0:47:56.240
<v Speaker 1>let up in demand or in its ability to increase rents.

0:47:56.360 --> 0:47:58.600
<v Speaker 1>It recently announced its plan to boost rates by an

0:47:58.600 --> 0:48:00.879
<v Speaker 1>average of eleven percent on the heels of a third

0:48:00.960 --> 0:48:04.280
<v Speaker 1>quarter revenue. Be Invitation Homes president and CEO Dallas Tanner

0:48:04.360 --> 0:48:07.600
<v Speaker 1>joined me and Bloomberg News cross asset reporter Katie Greifeld.

0:48:07.760 --> 0:48:11.120
<v Speaker 1>We talked earning supply chains, also his reaction to Zillow's

0:48:11.120 --> 0:48:14.360
<v Speaker 1>abrupt exit from the home flipping business. You know, candidly,

0:48:14.400 --> 0:48:17.400
<v Speaker 1>I was surprised, um given the fact that the I

0:48:17.520 --> 0:48:20.160
<v Speaker 1>buyer space has continued to get more and more robust

0:48:20.200 --> 0:48:23.200
<v Speaker 1>over time. Uh, you know, some other competitors I think

0:48:23.239 --> 0:48:27.520
<v Speaker 1>have done a really nice job managing inventory and the like. Now,

0:48:27.719 --> 0:48:30.520
<v Speaker 1>with that being said, I couldn't tell you. We don't

0:48:30.560 --> 0:48:32.920
<v Speaker 1>know all the details as to what happened, And Zello

0:48:33.000 --> 0:48:35.560
<v Speaker 1>has a pretty diverse business right in terms of some

0:48:35.600 --> 0:48:37.520
<v Speaker 1>of the other services that they offer. So my guess

0:48:37.560 --> 0:48:40.719
<v Speaker 1>is strategically internally, they're probably looking at, you know, where

0:48:40.719 --> 0:48:43.040
<v Speaker 1>their strengths and weaknesses were and ultimately made the call

0:48:43.120 --> 0:48:45.880
<v Speaker 1>that they did. But with that being said, the housing market,

0:48:45.880 --> 0:48:49.479
<v Speaker 1>it's fundamentals, uh, you know, the supply chain right now

0:48:49.680 --> 0:48:51.880
<v Speaker 1>that the imbalance of supply that we have quite frankly

0:48:51.880 --> 0:48:55.160
<v Speaker 1>relative to demand, are all lending itself to you know,

0:48:56.080 --> 0:48:58.239
<v Speaker 1>a market that feels really strong, and I think they

0:48:58.239 --> 0:49:00.560
<v Speaker 1>said as much even in their in theirs called So

0:49:00.600 --> 0:49:03.440
<v Speaker 1>you didn't see the Zillo news and you're, according to

0:49:03.480 --> 0:49:06.160
<v Speaker 1>your own metrics and internal metrics that you see as

0:49:06.320 --> 0:49:07.960
<v Speaker 1>any sort of canary in the coal mined about the

0:49:07.960 --> 0:49:10.680
<v Speaker 1>housing market in the US. No, not for US. I

0:49:10.680 --> 0:49:12.719
<v Speaker 1>mean you got to think about the volume. I I

0:49:13.080 --> 0:49:15.560
<v Speaker 1>don't know their exact numbers in terms of how many

0:49:15.560 --> 0:49:17.480
<v Speaker 1>of the homes they had on balance sheet. I'm sure

0:49:17.600 --> 0:49:19.839
<v Speaker 1>somewhere between ten and twelve thousand or something like that.

0:49:19.960 --> 0:49:23.440
<v Speaker 1>But that's such a small percentage of the six and

0:49:23.440 --> 0:49:26.279
<v Speaker 1>a half million resales that we see every year, uh

0:49:26.360 --> 0:49:29.759
<v Speaker 1>in US single families. So no, I wouldn't look at

0:49:29.760 --> 0:49:32.000
<v Speaker 1>it as a barometer of something that's going on in the

0:49:31.960 --> 0:49:33.680
<v Speaker 1>the marketplace. In fact, I kind of think the opposite.

0:49:33.960 --> 0:49:35.759
<v Speaker 1>If you look at, you know, some of their competitors,

0:49:35.760 --> 0:49:37.880
<v Speaker 1>If you look at our business, you could look at

0:49:37.920 --> 0:49:40.759
<v Speaker 1>anyone really in single family if you're a homebuilder or

0:49:40.800 --> 0:49:44.120
<v Speaker 1>a SFR operator like we are, or we're having record

0:49:44.120 --> 0:49:48.880
<v Speaker 1>occupancy percent occupancy record revenue growth because rents are so

0:49:49.520 --> 0:49:51.880
<v Speaker 1>um in demand right now in terms of having that

0:49:51.960 --> 0:49:55.160
<v Speaker 1>flexibility of lease, and so we're actually seeing the opposite

0:49:55.200 --> 0:49:59.279
<v Speaker 1>in our business and Dallas the company said that back

0:49:59.320 --> 0:50:02.520
<v Speaker 1>in februe Worry that it planned to spend at least

0:50:02.520 --> 0:50:05.520
<v Speaker 1>one billion dollars buying properties this year. And you, I

0:50:05.560 --> 0:50:07.160
<v Speaker 1>mean you touched on it that just if you look

0:50:07.160 --> 0:50:10.400
<v Speaker 1>at the housing market, uh, the supply of homes, Uh,

0:50:10.600 --> 0:50:13.840
<v Speaker 1>it's it feels like it's really dwindled. And the housing

0:50:13.840 --> 0:50:16.799
<v Speaker 1>market has just been on fire. So in terms of

0:50:16.840 --> 0:50:20.160
<v Speaker 1>spending that one billion dollars, has that been difficult to

0:50:20.160 --> 0:50:23.760
<v Speaker 1>even find houses to buy? In terms for our business

0:50:24.080 --> 0:50:27.080
<v Speaker 1>invitation homes, you know, it's been interesting. We actually updated

0:50:27.080 --> 0:50:29.719
<v Speaker 1>guidance this last quarter. We're gonna be somewhere between a

0:50:29.719 --> 0:50:32.160
<v Speaker 1>billion seven and a billion eight this year in terms

0:50:32.160 --> 0:50:35.200
<v Speaker 1>of new acquisitions, So we've actually outperformed what was our

0:50:35.239 --> 0:50:37.759
<v Speaker 1>initial you know, kind of targets. Now, with that being said, yes,

0:50:38.080 --> 0:50:41.440
<v Speaker 1>the market has some supply challenges, there's no doubt about it.

0:50:41.880 --> 0:50:44.960
<v Speaker 1>Although we are seeing supply creep back into the resale

0:50:44.960 --> 0:50:47.879
<v Speaker 1>market um at a little bit better clip than we've

0:50:47.920 --> 0:50:50.279
<v Speaker 1>seen historically With that being said, it's still at an

0:50:50.280 --> 0:50:52.600
<v Speaker 1>all time low. You have interest rates that are still

0:50:52.640 --> 0:50:54.000
<v Speaker 1>I think I saw the day of the thirty year

0:50:54.360 --> 0:50:56.560
<v Speaker 1>is that just north of three percent. That's still really

0:50:56.640 --> 0:50:59.960
<v Speaker 1>cheap money, cheap availability of finance for those that can

0:51:00.040 --> 0:51:02.759
<v Speaker 1>qualified for mortgage. So it's actually I think keeping the

0:51:02.800 --> 0:51:05.800
<v Speaker 1>supply pretty tight because homebuyers, again, those six and a

0:51:05.800 --> 0:51:09.120
<v Speaker 1>half million resales we talked about, those are still going.

0:51:10.920 --> 0:51:13.320
<v Speaker 1>Those two end users would be my guests at the

0:51:13.440 --> 0:51:15.560
<v Speaker 1>end of the day. So we pick our spots. Were

0:51:15.600 --> 0:51:17.960
<v Speaker 1>very deliberate about where we invest capital and why we

0:51:18.040 --> 0:51:21.239
<v Speaker 1>have partners with a number of different homebuilders we're helping

0:51:21.280 --> 0:51:23.760
<v Speaker 1>bring new supply to the marketplace. So we've we've definitely

0:51:23.840 --> 0:51:26.840
<v Speaker 1>kind of had to you know, be deliberate and really

0:51:26.880 --> 0:51:29.600
<v Speaker 1>anchoring on our different channels for acquiring product. But we've

0:51:29.640 --> 0:51:32.239
<v Speaker 1>been able to do it, albeit it is a tough

0:51:32.320 --> 0:51:34.600
<v Speaker 1>environment and we have to be you know, consistent in

0:51:34.719 --> 0:51:37.000
<v Speaker 1>terms of our approach. Dallas, is there a time or

0:51:37.040 --> 0:51:39.799
<v Speaker 1>a price where you see homes in the United States

0:51:39.840 --> 0:51:42.320
<v Speaker 1>on a whole becoming so expensive that you're no longer

0:51:42.560 --> 0:51:45.319
<v Speaker 1>in an acquiring mode. Well, there's always cycles, right, so

0:51:45.360 --> 0:51:47.440
<v Speaker 1>you could certainly. See. Uh, you know, at some point

0:51:47.440 --> 0:51:49.600
<v Speaker 1>there could be a cycle where homes get to price

0:51:49.840 --> 0:51:52.319
<v Speaker 1>based on your investment criteria of where you want to

0:51:52.320 --> 0:51:55.120
<v Speaker 1>invest capital, And why doesn't feel like that? Right now?

0:51:55.200 --> 0:51:59.160
<v Speaker 1>We can still buy homes at a really attractive you know,

0:51:59.160 --> 0:52:01.960
<v Speaker 1>what we do as our own cost the capital relative

0:52:02.080 --> 0:52:04.120
<v Speaker 1>to the types of yields and things that we can

0:52:04.160 --> 0:52:06.960
<v Speaker 1>find in the marketplace. Now will that last forever? Time

0:52:06.960 --> 0:52:09.759
<v Speaker 1>will tell. Trees don't typically grow to the sky. But

0:52:09.800 --> 0:52:11.960
<v Speaker 1>I think the difference in our business it's very different

0:52:11.960 --> 0:52:14.279
<v Speaker 1>from an eye buyer from somebody else, is that you know,

0:52:14.320 --> 0:52:17.040
<v Speaker 1>our customer staves us for three plus years right now,

0:52:17.120 --> 0:52:19.920
<v Speaker 1>they renew two or three times there at least with

0:52:19.920 --> 0:52:22.880
<v Speaker 1>our with our business, and they actually love the service.

0:52:22.960 --> 0:52:25.440
<v Speaker 1>They want to renew because they like the flexibility of

0:52:25.440 --> 0:52:28.080
<v Speaker 1>a least totally different than a home flipper or somebody

0:52:28.080 --> 0:52:30.480
<v Speaker 1>that's just in and out of a marketplace really quickly.

0:52:30.520 --> 0:52:33.200
<v Speaker 1>That's not our model. We're long term investors. We're making

0:52:33.239 --> 0:52:36.399
<v Speaker 1>decisions for five to fifteen year horizons, and we want

0:52:36.400 --> 0:52:38.759
<v Speaker 1>to make sure that we're offering a product that's sustainable.

0:52:38.840 --> 0:52:41.880
<v Speaker 1>So the approach of the different business models are very different.

0:52:42.040 --> 0:52:45.320
<v Speaker 1>That's Dallas tan Or, the president and CEO of Invitation Homes,

0:52:45.560 --> 0:52:48.759
<v Speaker 1>talking with Katie Greifeld and me following the company's third

0:52:48.840 --> 0:52:51.680
<v Speaker 1>quarter earnings release. We get his thoughts on Zillo as well.

0:52:51.840 --> 0:52:54.040
<v Speaker 1>You're listening to Bloomberg Business Week. Coming up, we'll wrap

0:52:54.120 --> 0:52:56.120
<v Speaker 1>up our broadcast with a deep dive into the New

0:52:56.160 --> 0:52:59.840
<v Speaker 1>Economy magazine takeover. We're gonna share some stories at spotlight

0:52:59.880 --> 0:53:02.600
<v Speaker 1>the most pressing issues facing human kind ahead of the

0:53:03.760 --> 0:53:07.279
<v Speaker 1>Bloomberg New Economy Form from Singapore, What world leaders have

0:53:07.360 --> 0:53:10.359
<v Speaker 1>on their agenda at a moment of unprecedented crisis, and

0:53:10.360 --> 0:53:22.840
<v Speaker 1>how you can get involved. This is Bloomberg. You're listening

0:53:22.880 --> 0:53:26.640
<v Speaker 1>to Bloomberg Business Week with Carol Masser and Bloomberg Quick

0:53:26.680 --> 0:53:32.439
<v Speaker 1>Takes Tim Stinovich from Bloomberg Radio. The Bloomberg New Economy Form.

0:53:32.600 --> 0:53:35.439
<v Speaker 1>It's back in full force here in one that after

0:53:35.480 --> 0:53:37.480
<v Speaker 1>going fully virtual last year during the height of the

0:53:37.480 --> 0:53:40.319
<v Speaker 1>COVID nineteen pandemic, leaders from across the globe will be

0:53:40.360 --> 0:53:43.040
<v Speaker 1>in person at this year's installment of the Global Town Hall,

0:53:43.239 --> 0:53:47.000
<v Speaker 1>discussing the most pressing issues facing modern economies and societies

0:53:47.080 --> 0:53:48.920
<v Speaker 1>and so the cover of this week's issue of Bloomberg

0:53:48.920 --> 0:53:52.040
<v Speaker 1>Business Week. It's dedicated to these issues, as is an

0:53:52.200 --> 0:53:54.680
<v Speaker 1>entire section of the magazine. It's at any f takeover

0:53:55.040 --> 0:53:56.880
<v Speaker 1>and help us break it down. We turned to Bloomberg

0:53:56.920 --> 0:54:00.960
<v Speaker 1>Business Week Economics editor Christina Lindblatt. Christine, I love New

0:54:01.120 --> 0:54:03.560
<v Speaker 1>Economy Forum. I love the topics they cover. I love

0:54:03.560 --> 0:54:06.120
<v Speaker 1>that you guys are devoting a section of the magazine

0:54:06.120 --> 0:54:08.760
<v Speaker 1>to it. So let's start with one of the stories

0:54:09.120 --> 0:54:12.239
<v Speaker 1>and the current and company providing some startling numbers from

0:54:12.239 --> 0:54:14.839
<v Speaker 1>the youngest members of the global workforce. We're talking about

0:54:14.920 --> 0:54:18.240
<v Speaker 1>youth unemployment. Employment for young people, and we're talking people

0:54:18.280 --> 0:54:21.080
<v Speaker 1>fifteen to twenty four, which is the i LO definition,

0:54:21.760 --> 0:54:26.560
<v Speaker 1>UM dropped by almost nine percent, and adults it was

0:54:26.840 --> 0:54:30.560
<v Speaker 1>less than four And you know another we've seen another

0:54:30.680 --> 0:54:34.160
<v Speaker 1>recessions in developed countries. You know, kids go back to school,

0:54:34.200 --> 0:54:37.000
<v Speaker 1>going training. You know, they're sort of you know, skilling

0:54:37.080 --> 0:54:40.320
<v Speaker 1>up during that time. But that's not happening in developing countries.

0:54:40.400 --> 0:54:43.520
<v Speaker 1>There's another measure called NEAT, which is like, I didn't

0:54:43.560 --> 0:54:45.839
<v Speaker 1>know that. I know, it's actually I didn't know about

0:54:45.880 --> 0:54:49.000
<v Speaker 1>it either, and it's one of the un development goals

0:54:49.040 --> 0:54:52.440
<v Speaker 1>actually is to reduce NEAT which is sort of not unemployment,

0:54:52.800 --> 0:54:55.960
<v Speaker 1>education or training. So the neat rates also popped up

0:54:56.000 --> 0:54:59.000
<v Speaker 1>and they haven't really been coming down fast enough compared

0:54:59.040 --> 0:55:01.520
<v Speaker 1>to what you're seeing for other age cohorts. Do you

0:55:01.520 --> 0:55:04.680
<v Speaker 1>profile a handful of young people from around the world,

0:55:04.719 --> 0:55:10.240
<v Speaker 1>including countries like the Philippines, Ghana, India, China, South Africa,

0:55:10.280 --> 0:55:13.800
<v Speaker 1>and the story spans the globe, involves trips to different

0:55:13.840 --> 0:55:17.960
<v Speaker 1>countries and trips to the United States and Georgia, for example.

0:55:18.320 --> 0:55:21.000
<v Speaker 1>What is the common thread that ties these stories together.

0:55:21.360 --> 0:55:24.080
<v Speaker 1>I think the worry is that, you know, when you

0:55:24.160 --> 0:55:27.920
<v Speaker 1>get knocked off your path that early on, how are

0:55:27.960 --> 0:55:30.200
<v Speaker 1>you going to make up that time? And it was

0:55:30.280 --> 0:55:33.520
<v Speaker 1>kind of heartbreaking. We talked to some young people who

0:55:33.520 --> 0:55:37.120
<v Speaker 1>had really sort of carefully started laying like the stones. Right.

0:55:37.239 --> 0:55:40.200
<v Speaker 1>There was the woman in the Philippines who had graduated

0:55:40.200 --> 0:55:42.719
<v Speaker 1>from a culinary program and had found a job in

0:55:42.760 --> 0:55:44.840
<v Speaker 1>the in the US kitchen and she was forced to

0:55:44.880 --> 0:55:48.200
<v Speaker 1>go back with the lockdowns and now it's really sort

0:55:48.239 --> 0:55:51.719
<v Speaker 1>of talking about how she feels depressed. Right. Um. And

0:55:51.719 --> 0:55:55.040
<v Speaker 1>in India, this kid who who was wanted to become

0:55:55.360 --> 0:56:00.400
<v Speaker 1>a a UM, you know, a trainer, UM, a coach

0:56:00.560 --> 0:56:03.239
<v Speaker 1>in basketball and now he too seems you know, it's

0:56:03.320 --> 0:56:04.920
<v Speaker 1>it looks like it might be hard for him to

0:56:04.960 --> 0:56:08.799
<v Speaker 1>sort of, you know, get back on that path um.

0:56:08.840 --> 0:56:11.320
<v Speaker 1>And I think this is a problem well that existed

0:56:11.360 --> 0:56:15.680
<v Speaker 1>before COVID and that governments really need to get a

0:56:15.760 --> 0:56:18.800
<v Speaker 1>handle on. And it might in some countries involved having

0:56:18.920 --> 0:56:22.640
<v Speaker 1>job creation programs that are just targeted at young people,

0:56:23.040 --> 0:56:25.400
<v Speaker 1>and China has been making some moves in that direction,

0:56:25.600 --> 0:56:27.920
<v Speaker 1>saying that you know, they want to have like more

0:56:28.000 --> 0:56:32.399
<v Speaker 1>venture capital for startups funded by young people, maybe get

0:56:32.440 --> 0:56:35.920
<v Speaker 1>like help them get more interested in manufacturing jobs in

0:56:36.000 --> 0:56:38.400
<v Speaker 1>certain parts of the country, and I think also trying

0:56:38.440 --> 0:56:41.239
<v Speaker 1>to kind of, you know, where there are places where

0:56:41.239 --> 0:56:43.680
<v Speaker 1>there may be labor shortages, try to get young people

0:56:43.680 --> 0:56:46.000
<v Speaker 1>into those parts of the country. One of the things

0:56:46.040 --> 0:56:47.719
<v Speaker 1>that's interesting, Christine, I thought about this when I was

0:56:47.760 --> 0:56:50.160
<v Speaker 1>reading it and going back to the developed world even

0:56:50.200 --> 0:56:52.920
<v Speaker 1>and then the financial crisis, that there were a whole

0:56:53.080 --> 0:56:55.440
<v Speaker 1>young population that kind of got put aside either they

0:56:55.440 --> 0:56:59.359
<v Speaker 1>were graduating and graduating into an environment where there were

0:56:59.400 --> 0:57:01.799
<v Speaker 1>no jobs for them. And this really gets into for

0:57:01.800 --> 0:57:04.560
<v Speaker 1>the developing world. I feel like it's even harsher right

0:57:04.640 --> 0:57:07.839
<v Speaker 1>because these individuals are losing out and and it's going

0:57:07.880 --> 0:57:11.360
<v Speaker 1>to impact their trajectory for years to come potentially. And

0:57:11.360 --> 0:57:13.840
<v Speaker 1>there's demographic factors in some of these countries that we

0:57:13.840 --> 0:57:16.880
<v Speaker 1>don't face in the US. You know, in India, one

0:57:17.080 --> 0:57:20.920
<v Speaker 1>million people enter the workforce each month. That's a mind

0:57:20.960 --> 0:57:24.960
<v Speaker 1>boggling number. It is. In China, there's something like eleven

0:57:25.080 --> 0:57:27.800
<v Speaker 1>million jobs need to be created each year to accommodate

0:57:27.920 --> 0:57:31.800
<v Speaker 1>just um college grads. So, I mean, actually there was

0:57:32.000 --> 0:57:33.920
<v Speaker 1>the woman that we interviewed in China said something that

0:57:33.960 --> 0:57:36.880
<v Speaker 1>I remember we talked about in the US after financial crisis,

0:57:36.880 --> 0:57:40.240
<v Speaker 1>which is I'm having to compete for work with new

0:57:40.360 --> 0:57:45.600
<v Speaker 1>graduates from the most recent you know year where I

0:57:45.640 --> 0:57:48.200
<v Speaker 1>graduate two years ago. You know, that was so that

0:57:48.280 --> 0:57:50.160
<v Speaker 1>was a problem here to her story. I thought that

0:57:50.200 --> 0:57:53.120
<v Speaker 1>was interesting too, because she graduated from a really prestigious university.

0:57:53.120 --> 0:57:55.200
<v Speaker 1>You would have thought maybe she was in a better position,

0:57:55.240 --> 0:57:57.480
<v Speaker 1>but she wasn't. She was trying to In Brazil, we're

0:57:57.520 --> 0:57:59.680
<v Speaker 1>hearing some of the same stori as people who are

0:57:59.720 --> 0:58:02.919
<v Speaker 1>highly qualified who can't find work there. Well, let's shift

0:58:02.920 --> 0:58:06.200
<v Speaker 1>gears and talk about the technology of the new economy.

0:58:06.280 --> 0:58:08.560
<v Speaker 1>Leslie Coffin has a piece on a little known arm

0:58:08.560 --> 0:58:11.520
<v Speaker 1>of Google that's working closely with environmental advocates around the

0:58:11.520 --> 0:58:14.640
<v Speaker 1>world to tackle issues. Those issues range from finding water

0:58:14.760 --> 0:58:17.840
<v Speaker 1>for cattle herds in Africa to planting trees to help

0:58:17.880 --> 0:58:21.440
<v Speaker 1>cool off Los Angeles. Google Earth they're taking over this

0:58:21.480 --> 0:58:23.880
<v Speaker 1>is and this is this is called Earth Engine. So

0:58:23.880 --> 0:58:25.760
<v Speaker 1>what do we need to know about it? It's a

0:58:25.840 --> 0:58:30.520
<v Speaker 1>really cool arm actually, um. So basically what they did

0:58:30.680 --> 0:58:33.960
<v Speaker 1>is they took all this satellite imagery that mostly belongs

0:58:34.040 --> 0:58:38.440
<v Speaker 1>to US and European agencies, um, and they put it

0:58:38.520 --> 0:58:40.720
<v Speaker 1>on the cloud. That was the first step, because this

0:58:40.800 --> 0:58:44.760
<v Speaker 1>was sitting on magnetic tape in vaults right. And then

0:58:45.040 --> 0:58:49.880
<v Speaker 1>and then the very important thing is that they created

0:58:50.200 --> 0:58:54.440
<v Speaker 1>the tools to sort of wrangle the data, right because

0:58:54.680 --> 0:58:57.680
<v Speaker 1>you know that takes really skilled data like I mean

0:58:57.760 --> 0:59:01.080
<v Speaker 1>skilled people and data science. And so what they've been

0:59:01.120 --> 0:59:05.320
<v Speaker 1>doing is basically pro bono work working with NGOs and

0:59:05.480 --> 0:59:09.680
<v Speaker 1>some government agencies and you know and environmental groups, you know,

0:59:09.760 --> 0:59:13.240
<v Speaker 1>to give them the tools to do monitoring. Most a

0:59:13.240 --> 0:59:16.320
<v Speaker 1>lot of it is monitoring. So you know what, Well,

0:59:16.400 --> 0:59:20.040
<v Speaker 1>for example, they have this tool called open et that

0:59:20.080 --> 0:59:25.720
<v Speaker 1>allows you to visualize transporation of water from fields and

0:59:25.800 --> 0:59:28.560
<v Speaker 1>so water management. You know, people who are in water

0:59:28.600 --> 0:59:31.360
<v Speaker 1>management and farmers are saying this is really useful because

0:59:31.400 --> 0:59:33.760
<v Speaker 1>you know, I can measure how much water is going

0:59:33.880 --> 0:59:36.960
<v Speaker 1>into my field, but I may be over watering and

0:59:37.000 --> 0:59:39.080
<v Speaker 1>I won't know that until I see the rate of

0:59:39.120 --> 0:59:43.080
<v Speaker 1>transporation because it means that if I'm overwatering, and you know,

0:59:43.120 --> 0:59:44.800
<v Speaker 1>they have this u I and you can see it

0:59:44.840 --> 0:59:47.800
<v Speaker 1>because it like lights up in different colors right fields,

0:59:47.840 --> 0:59:50.720
<v Speaker 1>depending on the rate of transporation, and that will sort

0:59:50.760 --> 0:59:53.800
<v Speaker 1>of tell you it's like maybe I'm overwatering this, you know.

0:59:54.120 --> 0:59:58.280
<v Speaker 1>And it's important for for municipalities and governments um to

0:59:58.360 --> 1:00:02.160
<v Speaker 1>be able to also you know, monitor this because yeah,

1:00:02.200 --> 1:00:04.960
<v Speaker 1>it's part of being able to manage water rights well.

1:00:04.960 --> 1:00:06.640
<v Speaker 1>And what's interesting too is they've been, as you said,

1:00:06.640 --> 1:00:09.920
<v Speaker 1>working with NGOs UM, but they're also now thinking, okay,

1:00:10.040 --> 1:00:11.840
<v Speaker 1>that's a lot of data, a lot of useful data,

1:00:11.880 --> 1:00:14.040
<v Speaker 1>and now they're trying to figure out how to commercialize

1:00:14.040 --> 1:00:16.480
<v Speaker 1>it right, right, And there's lots of companies that have

1:00:16.640 --> 1:00:19.160
<v Speaker 1>their own pledges and goals that they're trying to meet

1:00:19.200 --> 1:00:22.000
<v Speaker 1>in this space, right So, you know, a lever, for example,

1:00:22.520 --> 1:00:26.600
<v Speaker 1>wants to monitor deforestation in palm oil. You know, because

1:00:26.640 --> 1:00:29.640
<v Speaker 1>that is something that often goes hand in hand. What's interesting, too,

1:00:29.680 --> 1:00:31.160
<v Speaker 1>is this story is about what Google is doing, but

1:00:31.200 --> 1:00:32.920
<v Speaker 1>I also felt like it was as much about the

1:00:32.960 --> 1:00:35.760
<v Speaker 1>individual running it. And that's Rebecca Moore, who is an

1:00:35.800 --> 1:00:38.800
<v Speaker 1>activist at heart, and it kind of makes my heart

1:00:38.840 --> 1:00:40.920
<v Speaker 1>warm to think that she's kind of overseeing this use

1:00:40.920 --> 1:00:43.800
<v Speaker 1>of data potentially. Yeah, she's pretty inspiring. She's somebody who

1:00:43.840 --> 1:00:47.160
<v Speaker 1>came to this field out of a personal interest, trying

1:00:47.160 --> 1:00:52.240
<v Speaker 1>to fight a project near her home in California, which

1:00:52.280 --> 1:00:54.760
<v Speaker 1>is a local utility was going to clear cut this land,

1:00:55.040 --> 1:00:58.840
<v Speaker 1>and she used another tool that used satellite imagery to

1:00:58.960 --> 1:01:02.760
<v Speaker 1>show them that they were going to be impacting you know, um,

1:01:02.840 --> 1:01:07.520
<v Speaker 1>this water, this wetlands. Um. And so when Google bought

1:01:07.560 --> 1:01:12.200
<v Speaker 1>this company, a smaller company, that company said you have

1:01:12.360 --> 1:01:15.680
<v Speaker 1>to bring her on because when she worked with our program,

1:01:15.800 --> 1:01:19.640
<v Speaker 1>she sent us so many, like, you know, good ideas

1:01:19.680 --> 1:01:22.400
<v Speaker 1>about how to improve it. So she's an engineer herself.

1:01:22.440 --> 1:01:25.240
<v Speaker 1>So um, yeah, it's it's really interesting. Can we go

1:01:25.280 --> 1:01:27.120
<v Speaker 1>to Mars? Now? Yeah, let's go from Earth to Mars.

1:01:27.920 --> 1:01:31.040
<v Speaker 1>We do know that our greatest innovators see possibilities that well,

1:01:31.200 --> 1:01:33.600
<v Speaker 1>I think a lot of us cannot. Sarah Holder wrights

1:01:33.600 --> 1:01:36.040
<v Speaker 1>that some serious thinkers are now looking into how we

1:01:36.120 --> 1:01:40.440
<v Speaker 1>might one day colonize Mars. Some serious serious challenges though.

1:01:40.480 --> 1:01:42.600
<v Speaker 1>I mean, it takes six months to get there, you

1:01:42.640 --> 1:01:50.760
<v Speaker 1>need fuel to get back. Hello that radiation and only

1:01:50.840 --> 1:01:54.120
<v Speaker 1>thirty eight percent of gravity force. Um, you know that'll

1:01:54.120 --> 1:01:56.200
<v Speaker 1>be easier to lift stuff. But you know, I noticed.

1:01:56.400 --> 1:01:58.400
<v Speaker 1>It's funny because Sarah and I sort of came at

1:01:58.440 --> 1:02:01.400
<v Speaker 1>this from different ends, because I just skips thinking, oh,

1:02:01.400 --> 1:02:03.520
<v Speaker 1>there's so much interest in Mars, you know, like it

1:02:03.640 --> 1:02:06.160
<v Speaker 1>was because of the you know, three countries you know,

1:02:06.240 --> 1:02:08.720
<v Speaker 1>sent probes at last year, I mean this year some

1:02:08.840 --> 1:02:12.360
<v Speaker 1>of it, and and and I thought like and then

1:02:12.400 --> 1:02:14.640
<v Speaker 1>I had seen all these renderings, and I thought, you know,

1:02:14.680 --> 1:02:17.880
<v Speaker 1>there's kind of a pr thing almost going on. It's

1:02:17.920 --> 1:02:20.760
<v Speaker 1>a science thing one on one hand, but it's also like,

1:02:20.960 --> 1:02:23.160
<v Speaker 1>you know, how does the money float something? It's also

1:02:23.640 --> 1:02:26.840
<v Speaker 1>putting images and starting to construct stories about what life

1:02:26.840 --> 1:02:29.760
<v Speaker 1>would be like in this place helps that effort to

1:02:30.040 --> 1:02:33.080
<v Speaker 1>right um. And so you know there's some like a

1:02:33.120 --> 1:02:35.040
<v Speaker 1>lot of design work that's been going in, you know.

1:02:35.080 --> 1:02:37.200
<v Speaker 1>And then when I saw Bark at Ingles, you know,

1:02:37.280 --> 1:02:39.920
<v Speaker 1>who's a Stark attect. I'm sure he hates being called that.

1:02:40.440 --> 1:02:44.320
<v Speaker 1>Um was it was part of one of these demonstration

1:02:44.400 --> 1:02:47.920
<v Speaker 1>projects with three D printing for like a Mars you know.

1:02:48.160 --> 1:02:50.680
<v Speaker 1>Habita I thought, wow, this is like, this is a

1:02:50.760 --> 1:02:52.480
<v Speaker 1>time to do it well. And I think some of

1:02:52.480 --> 1:02:55.000
<v Speaker 1>it it's interesting because you know some of the struggles

1:02:55.000 --> 1:02:57.880
<v Speaker 1>that are here on Earth right now, whether it's building

1:02:57.920 --> 1:03:00.320
<v Speaker 1>cross you know, growing crops in certain areas that maybe

1:03:00.360 --> 1:03:02.680
<v Speaker 1>aren't going to be so hospitable to it. I do

1:03:02.760 --> 1:03:04.600
<v Speaker 1>feel like that there's things being worked on for Mars

1:03:04.600 --> 1:03:06.600
<v Speaker 1>that we could use on Earth. And I think the

1:03:06.640 --> 1:03:09.760
<v Speaker 1>community of people working on this are that they want

1:03:09.760 --> 1:03:11.880
<v Speaker 1>to emphasize that if they don't, you know, they don't

1:03:11.920 --> 1:03:13.560
<v Speaker 1>want to be seen as like, oh, we're just going

1:03:13.600 --> 1:03:16.480
<v Speaker 1>to bail on Earth because we've destroyed it. Um that

1:03:16.600 --> 1:03:19.840
<v Speaker 1>whatever we're learning about how we might live on Mars

1:03:19.920 --> 1:03:23.120
<v Speaker 1>could definitely have applications on planet ready ready to go

1:03:23.200 --> 1:03:24.840
<v Speaker 1>to Mars. No. I mean there was some kind of

1:03:24.880 --> 1:03:27.240
<v Speaker 1>scary parts about this, like oh do we imprison people

1:03:27.320 --> 1:03:29.160
<v Speaker 1>on Mars? That was one of the questions that was raised.

1:03:29.200 --> 1:03:35.040
<v Speaker 1>I'm like, oh, we'll send them back to Earth, right.

1:03:35.640 --> 1:03:37.920
<v Speaker 1>Christina Limb bled, thank you, so much. We really appreciate

1:03:37.920 --> 1:03:40.560
<v Speaker 1>a Bloomberg Business Week Economics editor Christina Limblad with a

1:03:40.560 --> 1:03:42.840
<v Speaker 1>look at the New Economy issue of the magazine. Also

1:03:42.880 --> 1:03:44.680
<v Speaker 1>a reminder that you can tune into the live stream

1:03:44.680 --> 1:03:48.560
<v Speaker 1>of Bloomberg New Economy Forum from Singapore. It's November seventeen

1:03:48.600 --> 1:03:51.120
<v Speaker 1>through the nineteen. We're bringing together world leaders at a

1:03:51.160 --> 1:03:54.120
<v Speaker 1>moment of unprecedented crisis. It's going to help us define

1:03:54.160 --> 1:03:57.080
<v Speaker 1>the challenges that face the global economy and help draft

1:03:57.160 --> 1:04:01.480
<v Speaker 1>solutions together. Watch it at Bloomberg dot com Live slash stream.

1:04:01.560 --> 1:04:03.439
<v Speaker 1>And that wraps up the weekend edition of Bloomberg Business

1:04:03.440 --> 1:04:05.480
<v Speaker 1>Week from Bloomberg Radio. Thanks so much for joining us.

1:04:05.480 --> 1:04:07.480
<v Speaker 1>I'm Carol Mass and I'm Tim Stanovk. Be sure to

1:04:07.520 --> 1:04:10.600
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1:04:10.600 --> 1:04:12.920
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1:04:13.040 --> 1:04:15.360
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1:04:15.400 --> 1:04:18.120
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1:04:18.120 --> 1:04:21.080
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1:04:21.160 --> 1:04:23.640
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1:04:23.640 --> 1:04:26.360
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1:04:26.400 --> 1:04:28.240
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1:04:28.280 --> 1:04:31.000
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1:04:31.080 --> 1:04:34.480
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1:04:34.560 --> 1:04:37.160
<v Speaker 1>TV and more. Have a great weekend. Let's go to Mars.

1:04:37.280 --> 1:04:38.120
<v Speaker 1>This is Bloomberg.