WEBVTT - Bloomberg Businessweek Weekend - November 2nd, 2019

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<v Speaker 1>This is Bloomberg Business Week from Bloomberg Radio. I'm Jason

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<v Speaker 1>Kelly and I'm Carol Masser. Welcome to the Bloomberg Business

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<v Speaker 1>Week Podcast. Over the next couple of hours, we're gonna

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<v Speaker 1>bring you news of the week, insights from the magazine

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<v Speaker 1>and more. And Jason, this is a very special issue.

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<v Speaker 1>It's the New Economy Issue, and it's really looking at

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<v Speaker 1>the drivers and the disruptors of the global economy. So

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<v Speaker 1>it really just sets you into all of the trends

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<v Speaker 1>and stories you need to know about. It's a primer

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<v Speaker 1>for a big event coming up later on this month.

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<v Speaker 1>It's the second annual New Economy Forum. It's going to

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<v Speaker 1>be held in Beijing, a gathering of world leaders of

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<v Speaker 1>business leaders really in the business of problem solving. So

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<v Speaker 1>we have all of that to cover this week. Also,

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<v Speaker 1>we have a couple of stories we've got to point out,

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<v Speaker 1>including one on Christine Legarde. She takes the reins this

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<v Speaker 1>week at the European Central Bank. We'll hear what that

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<v Speaker 1>means for the Central Bank. She's going to be a

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<v Speaker 1>different type of head. She brings different skills to that job.

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<v Speaker 1>Exit Druggi Enter Leo Guard couldn't have two different people

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<v Speaker 1>cast in this role in a lot of ways. Eager

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<v Speaker 1>to see what she makes of this, and you bet

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<v Speaker 1>address right, that's very good point. First up, though, we

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<v Speaker 1>speak with the editor of the special issue, Christina Lynn Bled.

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<v Speaker 1>She oversaw all of it really stitched together, what's happening

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<v Speaker 1>in this new economy and how she put it all together.

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<v Speaker 1>I think about this this issue all year long. It's

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<v Speaker 1>it's a great repository of stories that we might not

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<v Speaker 1>be able to do that the rest of the year

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<v Speaker 1>because we have, you know, certain sections, and they don't

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<v Speaker 1>some of these issues don't fit very well within those

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<v Speaker 1>sections well. And speaking of repositories plastics, we're not talking

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<v Speaker 1>about credit cards here. We're talking about actual plastic being

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<v Speaker 1>used to pay for things. Wait what. The Plastic Bank

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<v Speaker 1>is a project that started with this entrepreneur in Vancouver

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<v Speaker 1>and the first one opened in Haiti, and we visited

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<v Speaker 1>one in Bali and Indonesia that opened recently, and basically

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<v Speaker 1>the idea is to make plastic worth something and that

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<v Speaker 1>give people an incentive to not throw it out. So um. Basically,

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<v Speaker 1>we talked to people there who you know, supplement their

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<v Speaker 1>income by collecting plastic and redeeming it at the plastic bank.

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<v Speaker 1>The plastic Bank had IBM built them a sort of

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<v Speaker 1>like e wallet app that like people can use to

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<v Speaker 1>track their income and their savings. They can also use those,

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<v Speaker 1>uh those credits that they have and redeem them at

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<v Speaker 1>certain stores. So for example, somebody can earn like seven

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<v Speaker 1>dollars a month. That does not seem to sound like

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<v Speaker 1>a lot in the United States, but Indonesia is a

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<v Speaker 1>country where GDP per capital is only three thousand something

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<v Speaker 1>dollars a year. How isn't it fascinating? Just kind of

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<v Speaker 1>it sounds like such a simple solution to what's kind

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<v Speaker 1>of a big problem, giving people kind of a financial

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<v Speaker 1>identity as well as solving a pollution problem. That's right,

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<v Speaker 1>because I mean the idea is also that they're almost

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<v Speaker 1>like these countries have a huge number of unbanked people,

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<v Speaker 1>and so this is basically training people in the idea

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<v Speaker 1>of like what are savings? You know, like this, we

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<v Speaker 1>could talk to one guy who used to say, I

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<v Speaker 1>used to go out and spend all the money like

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<v Speaker 1>I got because he used to go to our recycling

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<v Speaker 1>center and redeem the plastic and just get paid, you know,

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<v Speaker 1>right there. But now he sort of has an incentive

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<v Speaker 1>to save it up. Another big story that is in

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<v Speaker 1>the magazine and looking at it from a global perspective,

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<v Speaker 1>is immigration. And what I love about this story there's

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<v Speaker 1>been such a pushback against immigration by so many different

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<v Speaker 1>countries around the world, and yet a lot of countries

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<v Speaker 1>need it because they need workers. Well, this is a

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<v Speaker 1>project that I desperately wanted to do, and this is

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<v Speaker 1>an example of something that would have been sort of

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<v Speaker 1>where do we address this? But I thought we have

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<v Speaker 1>one of those sections of the issue's governance, and I thought,

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<v Speaker 1>what is something that that needs really good policy? And

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<v Speaker 1>it's sort of this movement of people which has become

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<v Speaker 1>such a hot political issue, but it really it's it's

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<v Speaker 1>imperative for certain economies to keep you know, to keep

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<v Speaker 1>immigration alive as a as a you know, it's a necessity, right,

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<v Speaker 1>So it's like, how do you make it work for you?

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<v Speaker 1>So we looked at three different examples, and I think

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<v Speaker 1>Canada is one of the most interesting because it has

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<v Speaker 1>this system that takes in economic migrants, so not political

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<v Speaker 1>asylum seekers or anything else. But so if you're applying

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<v Speaker 1>as an economic migrant Canada, you're going to get scored

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<v Speaker 1>on several criteria. One is your skills, your education, your

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<v Speaker 1>past work, not performance. I'm sorry, you're you're like your resume,

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<v Speaker 1>what kind of jobs you've had. Language, so the national

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<v Speaker 1>languages of Canadas, of French and English, and that score

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<v Speaker 1>is going to determine basically whether you're being you're going

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<v Speaker 1>to be offered permanent residents. And other other countries are

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<v Speaker 1>looking at this program, right, So New Zealand and Australia

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<v Speaker 1>have I've already adopted. Their programs are modeled on on

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<v Speaker 1>Canada's and the US. There's two legislators to Republican legislators

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<v Speaker 1>who have proposed as part of a big reform and immigration.

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<v Speaker 1>And what's cool about that story and people should definitely

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<v Speaker 1>check it out is you sort of give it some

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<v Speaker 1>sweet but then you have some personal examples as well.

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<v Speaker 1>Let's talk about climate, because we talked about it here

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<v Speaker 1>a lot like Bloomberg. There's a whole effort in the

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<v Speaker 1>news room. You look at it through one river, tell

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<v Speaker 1>us about right, So we went to a river that

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<v Speaker 1>runs through several countries in Southern Africa, and we chose

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<v Speaker 1>Southern Africa because it's one of the most vulnerable places

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<v Speaker 1>in terms of um Basically people and governments do not

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<v Speaker 1>have the money to spend in mitigation. So we looked

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<v Speaker 1>at in this river, the Zambezi, which starts in Zambia

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<v Speaker 1>and winds all the way down to Mozambique. The interesting

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<v Speaker 1>thing is in the north the problem has been drought

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<v Speaker 1>and in the south there have been two floods and cyclones.

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<v Speaker 1>So it's basically the story of wacky weather and how

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<v Speaker 1>it plays out for these communities along the river. These

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<v Speaker 1>are important issues, and these are global issues, and you

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<v Speaker 1>guys tackle it so well in the magazine, Christina, thank

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<v Speaker 1>you so much, really appreciated Economics editor Christina Linn blad O.

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<v Speaker 1>We're seeing the economic and really this issue and that's

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<v Speaker 1>Christina Lynn blad You know, she's a frequent guest of ours,

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<v Speaker 1>frequent collaborator in many ways. And this was a tough assignment,

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<v Speaker 1>I think, because how do you really get your arms

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<v Speaker 1>around this new economy right? And she just and she

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<v Speaker 1>looked at so many of the important issues that will

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<v Speaker 1>be facing the global economy in love checking in with her.

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<v Speaker 1>In late November, Bloomberg will host the second annual New

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<v Speaker 1>Economy Forum in Beijing. It was established in by Mike Bloomberg,

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<v Speaker 1>of course, the founder of Bloomberg LP, home to Bloomberg

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<v Speaker 1>Business Week, Bloomberg TV and Radio. And here to tell

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<v Speaker 1>us more is Andy Brown. He is the editorial director

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<v Speaker 1>of Bloomberg New Economy, a frequent guests a weekly guest

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<v Speaker 1>on our daily radio show, Bloomberg Business Week, so we

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<v Speaker 1>get a chance to chat with him all the time.

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<v Speaker 1>But it felt necessary and important to have him set

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<v Speaker 1>the stage for this big event that's coming up. So Andy,

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<v Speaker 1>help us understand why now, why they're and what people

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<v Speaker 1>can expect to say. You know, the big narrative behind

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<v Speaker 1>the New Economy Forum is the reality of a global

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<v Speaker 1>economy in the throes of profound, wrenching and highly disruptive change.

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<v Speaker 1>And by and large, this change is being botched by

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<v Speaker 1>global institutions, national governments, global leaders. And we believe that

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<v Speaker 1>it is crucially important to put businesses in a room

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<v Speaker 1>together with governments to start talking about these issues um

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<v Speaker 1>that are threatening to pull upon the global economy, public

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<v Speaker 1>private partnerships discussions exactly. So the starting point is to

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<v Speaker 1>get the right groups of people together and then to

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<v Speaker 1>curate conversations in a way which will produce results. We

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<v Speaker 1>want productive conversations. How for two it is that you're

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<v Speaker 1>in Beijing. Considering the backdrop, Like Jason, I've been talking

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<v Speaker 1>about this with everything that's been going on, but specifically

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<v Speaker 1>with us in China, but just everybody focused on China

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<v Speaker 1>right now, it's highly symbolic that we're in Asia. We

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<v Speaker 1>launched the event in in Singapore last year. This is

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<v Speaker 1>the second year we're going to be in in Beijing.

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<v Speaker 1>We talk about transitions. Of course, the biggest transition in

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<v Speaker 1>the world today is the shift in wealth and power

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<v Speaker 1>from the globalized global north of the planet, from the

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<v Speaker 1>west of the planet to the east. And so we

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<v Speaker 1>felt it was really important to host this conversation in

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<v Speaker 1>a part of the economy, the global economy, which is

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<v Speaker 1>you know, really going to be the future Asia, Middle East, Africa.

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<v Speaker 1>This is where the global growth is coming from. And

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<v Speaker 1>getting that relationship right between the old economy focused on

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<v Speaker 1>you know, uh, the industrialized North and the emerging economies

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<v Speaker 1>of the global South is critical. We talked about the

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<v Speaker 1>global economy, and yet we have spent a lot of

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<v Speaker 1>time with you talking about decoupling and and that certainly

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<v Speaker 1>is part of the backdrop here. Amid not just the

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<v Speaker 1>ongoing trade discussions, but the day to day decisions that

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<v Speaker 1>companies are making about their supply chains, about where their

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<v Speaker 1>customers are, how they're going to even manufacture their products.

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<v Speaker 1>Help feather that into some of the discussions you plan

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<v Speaker 1>to have. We're looking again, we're looking at transitions, and

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<v Speaker 1>we we we we were stumbling towards global catastrophe in

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<v Speaker 1>a number of areas. I mean climate obviously, but not

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<v Speaker 1>just climate. Um. The global trading system is folding upon.

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<v Speaker 1>Global central banks have run out of ammunition to fight

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<v Speaker 1>the next financial crisis. You mentioned US China. Uh, these

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<v Speaker 1>two countries have failed to invent a new form or

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<v Speaker 1>a new foundation, um for a relationship that once seemed

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<v Speaker 1>so perfectly symmetrical. You know, and with the China that's

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<v Speaker 1>all grown up now and it's all and it's all

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<v Speaker 1>grown up and and and and and this symmetrical relationship.

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<v Speaker 1>You know, America invented, China innovated um. You know, America

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<v Speaker 1>consumed China produced. I mean, it all fit together so well,

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<v Speaker 1>it was complementary, and it is now fundamentally competitive. Both

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<v Speaker 1>countries are going after the same thing, which is dominance

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<v Speaker 1>in the industries of the future, artificial intelligence, quantum computing, robotics.

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<v Speaker 1>The problem is that these areas are all of them

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<v Speaker 1>dual use civilian military, and so the economic competition bleeds

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<v Speaker 1>into security and military competition. They need to figure out

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<v Speaker 1>a new way of managing this competition. This is one

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<v Speaker 1>of the conversations, a critical conversation that we're going to

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<v Speaker 1>be having a new economy. Well, and what's interesting is

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<v Speaker 1>and and maybe this is being too clever by half,

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<v Speaker 1>but it feels like there's difference between being competitive and

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<v Speaker 1>adversarial in a lot of ways. And you do wonder

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<v Speaker 1>from the headlines and the rhetoric, even just what we've

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<v Speaker 1>heard recently from Vice President Mike Pence as to whether

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<v Speaker 1>the tone has shifted in a meaningful and maybe not permanent,

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<v Speaker 1>but certainly secular versus cyclical. Well, you mentioned Mike Pence.

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<v Speaker 1>I mean, he he gave this storming speech, uh this

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<v Speaker 1>time last year, UM where he essentially at labeled China

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<v Speaker 1>an adversary of the United States, and he took China

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<v Speaker 1>to task over everything from human rights to the way

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<v Speaker 1>it rips off um. You know, American I p forces

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<v Speaker 1>technology transfer and so the Chinese read this not inaccurately

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<v Speaker 1>as the first shots in a Cold war. Um. So

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<v Speaker 1>this this relationship, yes, is moving definitely towards an adversarial one.

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<v Speaker 1>And and and and really it would via completely out

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<v Speaker 1>of control. We're right, We're right on the cusp now

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<v Speaker 1>the two sides. And I mean this is this is

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<v Speaker 1>the sort of the proximate background to the New Economy

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<v Speaker 1>Forum where you had this this trade wall which looked

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<v Speaker 1>as though it was going to rage completely out of control,

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<v Speaker 1>damaging both the US economy, the Chinese economy, and the

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<v Speaker 1>whole global economy. I mean, you know, the the global

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<v Speaker 1>economy really is right on the cusp of recession. On

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<v Speaker 1>the IMF keep lowering their their forecasts for for global growth.

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<v Speaker 1>We have a truce that that it seems as though

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<v Speaker 1>we're going to have a truce, a mini trade deal,

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<v Speaker 1>the purpose of which is not to fix all of

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<v Speaker 1>the problems, which can't do, but is to prevent things

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<v Speaker 1>from getting any worse. What's the goal? What do you

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<v Speaker 1>hope that by the end of the New Economy Forum

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<v Speaker 1>that countries companies, what the next steps that they might

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<v Speaker 1>take the substance of our discussion. You see, we we

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<v Speaker 1>um we we look at the global economy in in

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<v Speaker 1>pill is right, so trade, finance, and investment, technology organization inclusion,

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<v Speaker 1>and we look at each of these as a series

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<v Speaker 1>of transitions. So if you take technology, obviously we're moving

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<v Speaker 1>from a four G world to a five G world,

0:13:15.520 --> 0:13:17.960
<v Speaker 1>which will power all the industries of the future. Now

0:13:18.160 --> 0:13:22.760
<v Speaker 1>you know that that is accompanied by huge geopolitical tensions

0:13:22.800 --> 0:13:25.880
<v Speaker 1>between the US and China, focused on the Chinese gear

0:13:25.960 --> 0:13:31.199
<v Speaker 1>company Huawei. UM. So, the the substance of our conversation

0:13:31.280 --> 0:13:35.880
<v Speaker 1>that include including climate, um you know, is is what

0:13:35.960 --> 0:13:40.160
<v Speaker 1>are the institutions, what are the policies, what are the norms, standards,

0:13:40.600 --> 0:13:45.960
<v Speaker 1>rules that that we need to manage this these transitions

0:13:46.520 --> 0:13:50.720
<v Speaker 1>in a more rational and a less adversarial way. That's

0:13:50.760 --> 0:13:53.760
<v Speaker 1>Andy Brown, editorial director of Bloomberg New Economy and Jason

0:13:53.760 --> 0:13:55.720
<v Speaker 1>We're lucky we get to check in with him every

0:13:55.800 --> 0:13:59.080
<v Speaker 1>week on our daily radio show. And you know his

0:13:59.240 --> 0:14:02.440
<v Speaker 1>vantage point having lived overseas in Asia, it's really been

0:14:02.960 --> 0:14:05.560
<v Speaker 1>um so notable and so important, especially when we've been

0:14:05.559 --> 0:14:07.840
<v Speaker 1>talking a lot about US China trade. But this is

0:14:07.880 --> 0:14:10.000
<v Speaker 1>his issue. Well, that's exactly right, And what I love

0:14:10.000 --> 0:14:12.600
<v Speaker 1>about him is when we sort of get stuck ourselves

0:14:12.600 --> 0:14:15.640
<v Speaker 1>trying to understand what are the nuances of Hong Kong protests,

0:14:15.640 --> 0:14:18.400
<v Speaker 1>what are the nuances of this trade war? He really

0:14:18.440 --> 0:14:21.600
<v Speaker 1>delivers for us. This week, Christine Legard takes over as

0:14:21.600 --> 0:14:24.960
<v Speaker 1>the President of the European Central Bank, it's first female president.

0:14:25.000 --> 0:14:27.040
<v Speaker 1>She inherits a few things and also brings with her

0:14:27.080 --> 0:14:30.080
<v Speaker 1>a different skill set than many of her predecessors. Jason,

0:14:30.200 --> 0:14:32.760
<v Speaker 1>this is a really important story because I think it's

0:14:32.800 --> 0:14:34.760
<v Speaker 1>going to set the tone in many ways for what

0:14:34.840 --> 0:14:38.080
<v Speaker 1>the European economy looks like. But also this is one

0:14:38.080 --> 0:14:41.840
<v Speaker 1>of the best known leaders financial leaders in the world.

0:14:41.960 --> 0:14:46.080
<v Speaker 1>Jana Rando joins us from Frankfurt. She's got the story

0:14:46.200 --> 0:14:50.840
<v Speaker 1>on Madame Christine Leguard, So tell us what Madame Legard

0:14:51.120 --> 0:14:54.440
<v Speaker 1>is looking at as she takes this new big job.

0:14:54.760 --> 0:14:58.640
<v Speaker 1>She has a lot of challenges um to tackle. She

0:14:58.760 --> 0:15:01.320
<v Speaker 1>takes over the CB at time when the economy is

0:15:01.360 --> 0:15:05.360
<v Speaker 1>not doing really well. We're in a slowdown. Germany, the

0:15:05.440 --> 0:15:08.800
<v Speaker 1>largest economy in the region, probably is already in recession.

0:15:09.120 --> 0:15:12.840
<v Speaker 1>Inflation is very low um, monetary policy at the ECB

0:15:13.000 --> 0:15:16.240
<v Speaker 1>is very expansionary, and there is quite a big rift

0:15:16.280 --> 0:15:20.880
<v Speaker 1>in the governing council as to UM what could be

0:15:20.960 --> 0:15:25.600
<v Speaker 1>done as to the policies that are needed, uh to

0:15:25.760 --> 0:15:28.640
<v Speaker 1>overcome the situation. There was a big debate over the

0:15:28.720 --> 0:15:31.600
<v Speaker 1>last stimulus push, and she comes in at a time

0:15:32.400 --> 0:15:34.200
<v Speaker 1>when all that needs to be fixed well, and there's

0:15:34.240 --> 0:15:37.440
<v Speaker 1>frustration right among the ECB policymakers about what the e

0:15:37.600 --> 0:15:39.960
<v Speaker 1>c P e c B excuse me, is doing and

0:15:40.120 --> 0:15:43.240
<v Speaker 1>versus what policymakers in the region are doing or should

0:15:43.240 --> 0:15:45.800
<v Speaker 1>I say not doing to help out the economies. Yeah,

0:15:45.880 --> 0:15:48.360
<v Speaker 1>policy makers at the ECB have really stepped up their

0:15:48.440 --> 0:15:52.920
<v Speaker 1>call governments to do their part to use fiscal space,

0:15:53.040 --> 0:15:57.040
<v Speaker 1>to to implement fiscal stimulus where they have room to

0:15:57.120 --> 0:16:00.640
<v Speaker 1>do so, to implement structural reforms to boost growth potential

0:16:00.720 --> 0:16:03.960
<v Speaker 1>in the region. And so far our governments have taken

0:16:04.320 --> 0:16:07.760
<v Speaker 1>very small steps towards that. They have signaled their willingness

0:16:07.880 --> 0:16:10.480
<v Speaker 1>also in Germany, but not nearly enough as some of

0:16:10.560 --> 0:16:13.080
<v Speaker 1>those policymakers would like to see. I think one of

0:16:13.080 --> 0:16:15.080
<v Speaker 1>the things that I'm interested in and I think Jason,

0:16:15.360 --> 0:16:18.080
<v Speaker 1>we've you know, very often here at Bloomberg talked with

0:16:18.320 --> 0:16:21.240
<v Speaker 1>UM Christine Lagarde. She's going to be a different type

0:16:21.280 --> 0:16:23.920
<v Speaker 1>of leader, and her priorities are going to be different,

0:16:23.960 --> 0:16:26.200
<v Speaker 1>and she's also not someone right who's an economist that

0:16:26.280 --> 0:16:27.960
<v Speaker 1>comes to this job. Ja No, And I think we

0:16:28.040 --> 0:16:30.800
<v Speaker 1>talked about her appearance in sixty Minutes here the United

0:16:30.840 --> 0:16:34.000
<v Speaker 1>States a couple weekends ago, and just sort of the

0:16:34.120 --> 0:16:36.040
<v Speaker 1>tone that she's going to set. And if you were

0:16:36.120 --> 0:16:39.960
<v Speaker 1>to cast two people, you couldn't get more different in

0:16:40.040 --> 0:16:43.760
<v Speaker 1>many ways than Mario Draggy and Christine Lagarde. How is

0:16:43.840 --> 0:16:46.720
<v Speaker 1>that stylistic difference going to play through, Jana? I think

0:16:46.800 --> 0:16:50.920
<v Speaker 1>she comes at a time when her skills are desperately needed.

0:16:50.960 --> 0:16:53.720
<v Speaker 1>She's a very good communicator. She knows how to reach

0:16:53.760 --> 0:16:55.720
<v Speaker 1>out to the people, how to talk to the people,

0:16:56.480 --> 0:16:59.600
<v Speaker 1>which is something that Mario Joggy, despite all his economic

0:16:59.640 --> 0:17:03.520
<v Speaker 1>brilliant hasn't really done a lot over the past couple

0:17:03.600 --> 0:17:07.119
<v Speaker 1>of years. So um to come in now and to

0:17:07.440 --> 0:17:10.040
<v Speaker 1>to go out to the public and explain why that

0:17:10.480 --> 0:17:14.840
<v Speaker 1>monetary policy, that expansionary monetary policy that reduces interest on

0:17:14.960 --> 0:17:18.280
<v Speaker 1>savings is needed, that is very important. She's also very

0:17:18.359 --> 0:17:23.359
<v Speaker 1>interested in social changes, in climate change, all those issues

0:17:23.400 --> 0:17:25.800
<v Speaker 1>that are at the heart of the debate at the moment.

0:17:26.119 --> 0:17:29.520
<v Speaker 1>At the moment, so we can expect to hear from

0:17:29.560 --> 0:17:33.119
<v Speaker 1>her on those issues as well, um Mario dragging. On

0:17:33.160 --> 0:17:39.320
<v Speaker 1>the other hand, stellary economist with impeccable training, UM, that

0:17:39.520 --> 0:17:41.640
<v Speaker 1>is something that she doesn't have, but she can rely

0:17:41.840 --> 0:17:43.680
<v Speaker 1>on on the e CB staff and she has a

0:17:43.720 --> 0:17:46.080
<v Speaker 1>lot of experts there as well well. And it's so

0:17:46.240 --> 0:17:49.080
<v Speaker 1>interesting that you talk about her experience and her experience

0:17:49.160 --> 0:17:52.560
<v Speaker 1>versus drugs, and I think two things come to mind.

0:17:52.880 --> 0:17:54.960
<v Speaker 1>One is she's been in the belly of the beast,

0:17:55.000 --> 0:17:57.720
<v Speaker 1>as it were, in Washington, but also at the i

0:17:57.880 --> 0:18:01.480
<v Speaker 1>m F very concerned with developed in economies as well

0:18:01.600 --> 0:18:05.560
<v Speaker 1>as developed economies. Of course, what is her latest job

0:18:05.640 --> 0:18:08.080
<v Speaker 1>her previous job, I should say, going to help her

0:18:08.200 --> 0:18:11.240
<v Speaker 1>bring in terms of her scope of the world. She's

0:18:11.560 --> 0:18:14.200
<v Speaker 1>used to dealing with people from a lot of different

0:18:14.240 --> 0:18:21.480
<v Speaker 1>backgrounds as you mentioned, emerging markets, developed nations, UM, political leaders, economists,

0:18:21.720 --> 0:18:25.640
<v Speaker 1>financial leaders, UM, and and all that experience she brings

0:18:25.680 --> 0:18:28.920
<v Speaker 1>to the c B where you have just policy makers,

0:18:29.240 --> 0:18:31.720
<v Speaker 1>but also from very different backgrounds. If you think about

0:18:32.240 --> 0:18:35.720
<v Speaker 1>UH policy makers from Germany and Swiedmann, who is a

0:18:35.880 --> 0:18:42.159
<v Speaker 1>very traditional conservative official, where you have people from from

0:18:42.200 --> 0:18:47.240
<v Speaker 1>the Southern States, from Greek Italy which prefer generally loser

0:18:47.280 --> 0:18:52.360
<v Speaker 1>monetary policy, have different views on on fiscal policy as well,

0:18:53.000 --> 0:18:55.040
<v Speaker 1>so it's a very diverse crowd at the c B,

0:18:55.440 --> 0:18:57.760
<v Speaker 1>which is why we see some of the problems some

0:18:57.880 --> 0:19:01.000
<v Speaker 1>of the arguments play out in the public. And I

0:19:01.119 --> 0:19:03.200
<v Speaker 1>think she will she will bring her skills to the

0:19:03.280 --> 0:19:05.800
<v Speaker 1>table and we'll be able to forge a compromise there.

0:19:05.920 --> 0:19:09.760
<v Speaker 1>And that's Yana Randall joining us from Frankfurt. I loved

0:19:09.840 --> 0:19:13.680
<v Speaker 1>this story because Christine Lagarde. In many ways, there's not

0:19:14.000 --> 0:19:17.320
<v Speaker 1>many people who are better documented as a world leader

0:19:17.800 --> 0:19:20.680
<v Speaker 1>than Christine Lagarde, because she has been such a prominent

0:19:20.920 --> 0:19:24.520
<v Speaker 1>woman on the financial landscape. Everybody's written about her, talked

0:19:24.520 --> 0:19:26.359
<v Speaker 1>about her. But I really felt like there were some

0:19:26.760 --> 0:19:29.560
<v Speaker 1>new insights here. Yeah. Absolutely, and that's what's great. It's

0:19:29.600 --> 0:19:32.000
<v Speaker 1>not only what she's done professionally, but some insight into

0:19:32.080 --> 0:19:34.240
<v Speaker 1>who she is as a person. And I love that

0:19:34.359 --> 0:19:37.080
<v Speaker 1>she's not trained as an economist, she doesn't have central

0:19:37.119 --> 0:19:39.359
<v Speaker 1>bank experience. She hates Matt, so this is going to

0:19:39.440 --> 0:19:42.600
<v Speaker 1>be a different European Central Bank. Bloomberg will host the

0:19:42.640 --> 0:19:44.680
<v Speaker 1>New Economy Form in a few weeks in Beijing. To

0:19:44.760 --> 0:19:47.399
<v Speaker 1>coincide with that, our Bloomberg Economics team came up with

0:19:47.440 --> 0:19:50.920
<v Speaker 1>the New Economy Drivers and Disruptors report Jason. It takes

0:19:50.960 --> 0:19:53.840
<v Speaker 1>a look at all the new forces that are narrowing

0:19:53.880 --> 0:19:55.840
<v Speaker 1>the path to development, and it's really going to determine

0:19:55.840 --> 0:19:58.080
<v Speaker 1>the winners and losers going forward. I love digging into

0:19:58.160 --> 0:20:00.440
<v Speaker 1>this because there are some nice graphics really help you

0:20:00.600 --> 0:20:03.040
<v Speaker 1>understand the size and scopes, some nice narrative as well.

0:20:03.359 --> 0:20:05.960
<v Speaker 1>Tom Orlick is the chief economist for Bloomberg Economics. He

0:20:06.080 --> 0:20:10.040
<v Speaker 1>joins us from Washington. He helped put all of this together.

0:20:10.600 --> 0:20:15.040
<v Speaker 1>Tom help us understand the framework because that sort of

0:20:15.119 --> 0:20:17.720
<v Speaker 1>sets the stage for all of the conversations going forward.

0:20:17.880 --> 0:20:20.440
<v Speaker 1>The way we think about this is is something like this.

0:20:21.040 --> 0:20:27.080
<v Speaker 1>UM Imagine an economy which is doing everything right. They're innovative,

0:20:27.520 --> 0:20:32.639
<v Speaker 1>they've got a skilled workforce, they have an efficient government. UM. Now,

0:20:32.760 --> 0:20:37.040
<v Speaker 1>imagine there's a huge meteor hurkling towards that country at

0:20:37.040 --> 0:20:39.520
<v Speaker 1>a thousand miles an hour, and when it hits, it's

0:20:39.520 --> 0:20:42.640
<v Speaker 1>going to wipe the country off the map. UM. Well,

0:20:43.040 --> 0:20:48.480
<v Speaker 1>a traditional economic index, a traditional competitiveness index would tell

0:20:48.560 --> 0:20:51.399
<v Speaker 1>you that country is doing just great. They're going to

0:20:51.440 --> 0:20:53.880
<v Speaker 1>be great now. They're great in ten years time, they're

0:20:53.880 --> 0:20:57.840
<v Speaker 1>great in twenty years time. What our Drivers and Disruptors

0:20:57.960 --> 0:21:00.639
<v Speaker 1>report tries to do is to tell you about the

0:21:00.680 --> 0:21:04.119
<v Speaker 1>meteor tell you about the big risks out there in

0:21:04.200 --> 0:21:08.399
<v Speaker 1>the global economy, and which countries are well positioned in

0:21:08.520 --> 0:21:12.720
<v Speaker 1>relation to those risks, and which countries which economies face

0:21:12.840 --> 0:21:21.360
<v Speaker 1>some challenges and the big meteors. We're looking at our protectionism, populism, automation,

0:21:21.720 --> 0:21:26.040
<v Speaker 1>the rise of the robots, digitization, and of course the

0:21:26.119 --> 0:21:28.720
<v Speaker 1>big challenge climate change. What I love time too is

0:21:28.760 --> 0:21:31.159
<v Speaker 1>how comprehensive it is. Do you just mentioned some of

0:21:31.200 --> 0:21:33.840
<v Speaker 1>the big disruptors that you're looking at, but you also

0:21:33.920 --> 0:21:39.080
<v Speaker 1>looked at a hundred fourteen economies essentially excuse me, so

0:21:39.160 --> 0:21:41.920
<v Speaker 1>almost all of the global GDP, So you really looked

0:21:41.960 --> 0:21:45.040
<v Speaker 1>at the world developed and developing. Yeah, that's right. One

0:21:45.080 --> 0:21:50.200
<v Speaker 1>of the striking takeaways is the difference between how well

0:21:50.320 --> 0:21:56.240
<v Speaker 1>positioned advanced economies are and some of the challenges which

0:21:56.400 --> 0:22:01.120
<v Speaker 1>lower and middle income countries lower middle income economy face. Um.

0:22:01.960 --> 0:22:05.200
<v Speaker 1>The big narrative on the global economy in the last

0:22:05.240 --> 0:22:09.800
<v Speaker 1>fifty years has been a story of catching up, first Japan,

0:22:10.359 --> 0:22:15.440
<v Speaker 1>then Korea, then China, catching up to income levels which

0:22:15.480 --> 0:22:20.600
<v Speaker 1>we see in Europe and the US mainly by exporting UM.

0:22:21.119 --> 0:22:24.040
<v Speaker 1>And what our analysis tells us is that with some

0:22:24.160 --> 0:22:29.040
<v Speaker 1>of the disruptive forces sweeping the global economy, things like protectionism,

0:22:29.680 --> 0:22:33.720
<v Speaker 1>things like automation, with robots able to do more and

0:22:33.880 --> 0:22:36.720
<v Speaker 1>more of the low skill, low cost jobs which have

0:22:36.840 --> 0:22:40.000
<v Speaker 1>been an advantage for lower, low cost economies in the past,

0:22:40.960 --> 0:22:44.520
<v Speaker 1>that path to development which low income countries have followed

0:22:44.960 --> 0:22:47.880
<v Speaker 1>is not broken, but it's just going to be much

0:22:47.920 --> 0:22:49.800
<v Speaker 1>harder to follow well. And this is what I love.

0:22:49.880 --> 0:22:52.159
<v Speaker 1>This whole idea of catching up is harder to do

0:22:52.320 --> 0:22:56.000
<v Speaker 1>in this environment today. Yeah. So, I mean, let's think

0:22:56.040 --> 0:23:00.480
<v Speaker 1>about the big forces that have propelled cat up in

0:23:00.560 --> 0:23:05.240
<v Speaker 1>the past. UM. So there's low incomes or low cost

0:23:05.400 --> 0:23:10.600
<v Speaker 1>wages UM. And there's the big open global economy UM.

0:23:11.040 --> 0:23:14.560
<v Speaker 1>And there's policymakers who are willing to make the difficult,

0:23:14.680 --> 0:23:19.960
<v Speaker 1>sometimes painful reforms to align economies for growth UM. And

0:23:20.480 --> 0:23:24.360
<v Speaker 1>across each of those, the disruptive forces that we're tracking

0:23:24.680 --> 0:23:28.360
<v Speaker 1>are going to make life more difficult. You've got robots

0:23:28.680 --> 0:23:31.360
<v Speaker 1>which can do more and more of the tasks which

0:23:31.440 --> 0:23:34.840
<v Speaker 1>people currently do in factories and do them at lower

0:23:34.880 --> 0:23:38.840
<v Speaker 1>and lower cost, so that erodes the low cost advantage

0:23:39.080 --> 0:23:43.920
<v Speaker 1>which was so powerful for for China and Korea and Japan. UM.

0:23:44.800 --> 0:23:49.639
<v Speaker 1>Then we've got protection is M Japan, Korea, China, they

0:23:49.760 --> 0:23:52.840
<v Speaker 1>grew in part because they could tap those free, open

0:23:52.960 --> 0:23:57.200
<v Speaker 1>global markets. UM. But now we've got this decisive swing

0:23:57.320 --> 0:24:01.359
<v Speaker 1>towards protection is UM and so tapping globe markets is

0:24:01.400 --> 0:24:04.520
<v Speaker 1>harder to do. Alright, So Tom, you're gonna be there

0:24:04.640 --> 0:24:08.119
<v Speaker 1>in Beijing. Let's talk about China because it's very prominent

0:24:08.560 --> 0:24:13.359
<v Speaker 1>in your reporting. Clearly one of the world's most important economies.

0:24:13.800 --> 0:24:19.280
<v Speaker 1>This idea of the meteor headed toward Earth, clearly China

0:24:19.359 --> 0:24:23.280
<v Speaker 1>figures very, very importantly in this narrative. How does China

0:24:23.320 --> 0:24:27.040
<v Speaker 1>fit into this? So China is a really interesting story.

0:24:27.160 --> 0:24:33.199
<v Speaker 1>Jason on the traditional drivers of development, China really outperforms. Uh.

0:24:33.480 --> 0:24:37.960
<v Speaker 1>They're the fourth ranked economy in our index. They're investing

0:24:38.000 --> 0:24:42.320
<v Speaker 1>in research and development, they've got some world class infrastructure, UM.

0:24:42.640 --> 0:24:46.240
<v Speaker 1>They've got an increasingly highly skilled workforce, they've got an

0:24:46.280 --> 0:24:49.399
<v Speaker 1>efficient government. So if you look at the traditional drivers

0:24:49.480 --> 0:24:52.639
<v Speaker 1>of development, China has really got a lot of those

0:24:53.040 --> 0:24:56.080
<v Speaker 1>firmly in place. UM. But when we think about the

0:24:56.160 --> 0:24:59.600
<v Speaker 1>disruptive forces which are going to be hitting the global

0:24:59.640 --> 0:25:03.000
<v Speaker 1>econom me in the next ten twenty years, China faces

0:25:03.080 --> 0:25:07.400
<v Speaker 1>some significant challenges. The most obvious one striking right now

0:25:07.960 --> 0:25:13.119
<v Speaker 1>is protectionism. Bad for China's exports, bad for China's capacity

0:25:13.280 --> 0:25:18.960
<v Speaker 1>to learn from foreign technology UM. Looking further forward, China's

0:25:19.040 --> 0:25:21.720
<v Speaker 1>one of the most exposed countries in the world to

0:25:21.840 --> 0:25:26.480
<v Speaker 1>climate change UM. A big population, many of them on

0:25:26.560 --> 0:25:30.239
<v Speaker 1>the coastline, many of them involved in agriculture. There are

0:25:30.280 --> 0:25:34.320
<v Speaker 1>some real risks from climate change to China going forwards,

0:25:35.400 --> 0:25:37.679
<v Speaker 1>and if we dig into the details of what's going

0:25:37.760 --> 0:25:42.600
<v Speaker 1>on in China's society, we also see challenges with relatively

0:25:42.680 --> 0:25:48.239
<v Speaker 1>high levels of inequality, relatively low levels of social mobility UM.

0:25:48.560 --> 0:25:51.360
<v Speaker 1>And if we look around the world UM in other

0:25:51.440 --> 0:25:54.720
<v Speaker 1>countries which have had those problems, that's been a medium

0:25:54.960 --> 0:25:58.600
<v Speaker 1>term challenge for policymakers to address as well. Tom, Let's

0:25:58.640 --> 0:26:00.600
<v Speaker 1>talk about some of the other rankings, because that Jason,

0:26:00.640 --> 0:26:02.840
<v Speaker 1>I'd loved going through the list. I mean, talk about

0:26:02.880 --> 0:26:04.840
<v Speaker 1>the countries that are up at the top. You mentioned

0:26:04.920 --> 0:26:07.600
<v Speaker 1>China's number four, but talked us just quickly about one, two,

0:26:07.640 --> 0:26:10.360
<v Speaker 1>and three. One of the big takeaways from this report

0:26:11.040 --> 0:26:14.960
<v Speaker 1>is that catching up is getting harder to do, and

0:26:15.080 --> 0:26:18.480
<v Speaker 1>we see that reflected in the rankings. Um So, we've

0:26:18.560 --> 0:26:22.440
<v Speaker 1>got advanced economies like some of the some of the

0:26:22.520 --> 0:26:28.520
<v Speaker 1>Northern European economies Sweden, Norway, Denmark, Germany, um some of

0:26:28.560 --> 0:26:32.359
<v Speaker 1>the high performing Asian economies like Singapore, and they do

0:26:32.560 --> 0:26:36.520
<v Speaker 1>really well on the traditional drivers of growth. They also

0:26:36.760 --> 0:26:41.320
<v Speaker 1>score very well on those disruptive forces. They are well

0:26:41.520 --> 0:26:45.720
<v Speaker 1>positioned to deal with the rise of the robots. They've

0:26:45.720 --> 0:26:49.720
<v Speaker 1>got policies in place to help retrain workers. Um as

0:26:49.760 --> 0:26:54.160
<v Speaker 1>automation takes over a larger share of traditional jobs. They're

0:26:54.200 --> 0:26:58.080
<v Speaker 1>well positioned on the digital economy. Their consumers, their businesses,

0:26:58.119 --> 0:27:04.120
<v Speaker 1>their government are all engaged in those digital opportunities. They're

0:27:04.160 --> 0:27:06.879
<v Speaker 1>exposed to protection is M, but they don't have that

0:27:07.080 --> 0:27:10.200
<v Speaker 1>really high exposure to protection is M that we see

0:27:10.600 --> 0:27:13.720
<v Speaker 1>in some of the Asian exporters and some of the

0:27:14.000 --> 0:27:17.560
<v Speaker 1>advanced economies which are breaking their trade ties with the

0:27:17.640 --> 0:27:20.440
<v Speaker 1>rest of the world. Well. And it is so interesting

0:27:20.560 --> 0:27:26.000
<v Speaker 1>to look at the top five just running through them. Sweden, Switzerland, Denmark, China, Australia,

0:27:26.119 --> 0:27:28.440
<v Speaker 1>those are the top five when it comes to the drivers,

0:27:28.880 --> 0:27:33.040
<v Speaker 1>and they do have this really interesting balance, as you say,

0:27:33.400 --> 0:27:35.920
<v Speaker 1>and when you think about the five most important economies

0:27:36.000 --> 0:27:39.080
<v Speaker 1>in some ways. Some are there, some aren't. These aren't

0:27:39.080 --> 0:27:42.480
<v Speaker 1>obvious choices, and that's one of the really provocative things

0:27:42.520 --> 0:27:44.840
<v Speaker 1>I think about this list. Ultimately. Yeah, So I think

0:27:44.880 --> 0:27:46.760
<v Speaker 1>if you look at the if you look at our

0:27:46.880 --> 0:27:49.159
<v Speaker 1>drivers of if you look at our rankings on the

0:27:49.240 --> 0:27:53.040
<v Speaker 1>drivers of growth, I think it looks fairly. I think

0:27:53.080 --> 0:27:56.760
<v Speaker 1>it's going to be in line with people's intuitions about

0:27:56.800 --> 0:28:01.360
<v Speaker 1>which countries are poised for success and which countries face

0:28:01.480 --> 0:28:05.040
<v Speaker 1>some challenges. I think where a lot of the controversy,

0:28:05.119 --> 0:28:06.960
<v Speaker 1>where a lot of the interest, where some of the

0:28:07.800 --> 0:28:11.040
<v Speaker 1>provocation comes from, is in how we're looking at those

0:28:11.119 --> 0:28:14.960
<v Speaker 1>disruptive forces and how those disruptive forces are going to

0:28:15.000 --> 0:28:18.000
<v Speaker 1>be upsetting the pattern of winners and losers. Well, and

0:28:18.040 --> 0:28:20.520
<v Speaker 1>I just would say, so, China's in fourth place, the

0:28:20.680 --> 0:28:24.680
<v Speaker 1>UK is in this in sixth place, Germany is in

0:28:24.760 --> 0:28:27.680
<v Speaker 1>twelveth place. United States is in seventeenth place. Just to

0:28:27.840 --> 0:28:29.600
<v Speaker 1>sum up, where's the U s and all of this

0:28:29.680 --> 0:28:33.600
<v Speaker 1>in terms of drivers versus disruptors, I mean, the US

0:28:33.960 --> 0:28:39.080
<v Speaker 1>is engaged in a trade war against China, a trade

0:28:39.120 --> 0:28:43.960
<v Speaker 1>war with China UM, and the motivation for that trade

0:28:44.000 --> 0:28:48.840
<v Speaker 1>war UM is partly to determine who's going to be

0:28:48.920 --> 0:28:52.120
<v Speaker 1>holding the keys to the global economy in the twenty

0:28:52.160 --> 0:28:55.440
<v Speaker 1>one century, who's going to be the most competitive, who's

0:28:55.440 --> 0:29:00.400
<v Speaker 1>going to have the most advanced technologies? Um. And part

0:29:00.480 --> 0:29:02.640
<v Speaker 1>of the motivation on the U S side is the

0:29:02.760 --> 0:29:07.800
<v Speaker 1>concern that China is not playing by the global rules. Um,

0:29:08.080 --> 0:29:12.440
<v Speaker 1>they're not protecting intellectual property. UM, they're forcing Western firms

0:29:12.480 --> 0:29:15.440
<v Speaker 1>to hand over technology. And if we have a trade

0:29:15.480 --> 0:29:19.320
<v Speaker 1>war and we win that trade war, um, then those

0:29:19.360 --> 0:29:23.280
<v Speaker 1>problems will be solved and America will be number one. Well,

0:29:23.360 --> 0:29:26.920
<v Speaker 1>what our report is telling us is well, that's all

0:29:26.960 --> 0:29:29.720
<v Speaker 1>well and good, um, but there's also a bunch of

0:29:29.800 --> 0:29:32.360
<v Speaker 1>things you need to do at home to make sure

0:29:32.720 --> 0:29:37.040
<v Speaker 1>you're competitive for the future, things like really making sure

0:29:37.080 --> 0:29:41.200
<v Speaker 1>you've got world class infrastructure, really making sure you're making

0:29:41.560 --> 0:29:46.360
<v Speaker 1>significant investments in research and development to retain that competitive

0:29:46.440 --> 0:29:49.440
<v Speaker 1>technology edge. That's Tom or Like, he's our chief economist

0:29:49.520 --> 0:29:54.040
<v Speaker 1>Bloomberg Economics. This was a really fun conversation because they

0:29:54.200 --> 0:29:58.400
<v Speaker 1>looked at the entire global economy very specific factors and

0:29:58.520 --> 0:30:02.120
<v Speaker 1>tried to figure out where every nation developed or developing

0:30:02.200 --> 0:30:05.640
<v Speaker 1>stand when it comes to drivers helping them out or

0:30:05.720 --> 0:30:07.880
<v Speaker 1>disruptors that might hold them back. Well, and it's a

0:30:07.920 --> 0:30:10.880
<v Speaker 1>different lens in many ways, and not surprisingly, it gives

0:30:10.880 --> 0:30:13.000
<v Speaker 1>you a different result. And I really liked what he

0:30:13.080 --> 0:30:16.760
<v Speaker 1>said about China gets role in the global economy. It's

0:30:16.800 --> 0:30:20.640
<v Speaker 1>obviously important, but when you think about it in this context,

0:30:20.680 --> 0:30:23.600
<v Speaker 1>I feel like you look at China a little bit differently.

0:30:24.400 --> 0:30:27.480
<v Speaker 1>So it's clear that global economies, they're watching the political

0:30:27.640 --> 0:30:31.440
<v Speaker 1>scene around the world. We've got something that will help them.

0:30:31.520 --> 0:30:34.400
<v Speaker 1>It's this week's New Economy issue. Let's get into it

0:30:34.480 --> 0:30:36.760
<v Speaker 1>with editor Joe Weber here to tell us all about it.

0:30:36.880 --> 0:30:38.960
<v Speaker 1>It is a great issue and it's another must read

0:30:39.000 --> 0:30:40.800
<v Speaker 1>I feel like for the world at large. Yeah, a

0:30:40.880 --> 0:30:42.440
<v Speaker 1>lot of this. You know, it's really easy to talk

0:30:42.440 --> 0:30:44.360
<v Speaker 1>about the news and the short term stuff, but there

0:30:44.400 --> 0:30:47.680
<v Speaker 1>are bigger, bigger issues that are really going to define

0:30:47.720 --> 0:30:49.680
<v Speaker 1>what the future looks like. And that's sort of what

0:30:49.840 --> 0:30:54.240
<v Speaker 1>the New Economy Issue is really about. The world's growth

0:30:54.360 --> 0:30:56.640
<v Speaker 1>is really going to come from the emerging economies rather

0:30:56.720 --> 0:30:59.840
<v Speaker 1>than developed ones. That's something that Hank Paulson in and

0:31:00.040 --> 0:31:02.800
<v Speaker 1>Row really hits on, like the problems that that this

0:31:03.040 --> 0:31:05.360
<v Speaker 1>issue is really devoted to and the solutions that we

0:31:05.480 --> 0:31:09.800
<v Speaker 1>hope to really identify at the Forum in November are

0:31:09.920 --> 0:31:14.720
<v Speaker 1>really geared towards solving problems in the emerging markets, and

0:31:14.840 --> 0:31:17.920
<v Speaker 1>so how do you break that down in some ways

0:31:17.960 --> 0:31:21.480
<v Speaker 1>into something that is candidly sort of digestible. Had a

0:31:21.560 --> 0:31:24.600
<v Speaker 1>lot of help on this one, including from Bloomberg Economics. Yeah,

0:31:24.680 --> 0:31:28.280
<v Speaker 1>so we actually divide the book up into chapters, and

0:31:28.480 --> 0:31:30.680
<v Speaker 1>it actually feels more like a book almost than any

0:31:30.760 --> 0:31:33.280
<v Speaker 1>other issue that we do. And those chapters aligned with

0:31:33.400 --> 0:31:36.920
<v Speaker 1>the pillars of the forum, so things like trade and that.

0:31:37.120 --> 0:31:40.120
<v Speaker 1>That allows us to talk to Tom Orlick of Bloomberg

0:31:40.160 --> 0:31:43.760
<v Speaker 1>Economics who came up with this Drivers and Disrupters idea

0:31:44.040 --> 0:31:47.520
<v Speaker 1>to really like rank countries based on their ability to

0:31:47.720 --> 0:31:51.480
<v Speaker 1>either disrupt or drive engine the engine the global engine

0:31:51.520 --> 0:31:54.520
<v Speaker 1>of growth, right, And it's interesting. There's some interesting takeaways there,

0:31:54.560 --> 0:31:57.160
<v Speaker 1>like the US isn't one that really rises to the

0:31:57.200 --> 0:31:59.840
<v Speaker 1>cream like some other places, So that's interesting. We have

0:32:00.040 --> 0:32:02.040
<v Speaker 1>talking about that that the kind of the top two,

0:32:02.600 --> 0:32:04.400
<v Speaker 1>top one, two, three or four names you might find

0:32:04.400 --> 0:32:06.280
<v Speaker 1>a little bit surprising on that. I'm gonna save it

0:32:06.320 --> 0:32:09.880
<v Speaker 1>for the issue. Yeah, do that. Another one is inclusion, right,

0:32:09.960 --> 0:32:11.840
<v Speaker 1>and so there's different ways that we can talk about that,

0:32:11.920 --> 0:32:14.640
<v Speaker 1>but one that we chose to look at what women

0:32:14.760 --> 0:32:19.280
<v Speaker 1>in the workforce via fertility around the world. We're actually

0:32:19.320 --> 0:32:22.520
<v Speaker 1>watching fertility rate, the global fertility rate. Calm down, we're

0:32:22.560 --> 0:32:25.440
<v Speaker 1>not making enough babies actually, so we actually pulled out

0:32:25.520 --> 0:32:28.760
<v Speaker 1>some case studies via data and also women in various

0:32:28.800 --> 0:32:32.280
<v Speaker 1>countries to talk about why don't you have more babies?

0:32:33.720 --> 0:32:36.800
<v Speaker 1>And that impacts their ability to to work with their

0:32:36.840 --> 0:32:40.920
<v Speaker 1>family life's like, and then that translates into economic growth

0:32:40.920 --> 0:32:44.000
<v Speaker 1>because if you're not having future generations behind you, we

0:32:44.200 --> 0:32:47.040
<v Speaker 1>just simply don't have enough people. Some really big issues,

0:32:47.320 --> 0:32:50.800
<v Speaker 1>long term issues, tackled in this very special issue of

0:32:50.840 --> 0:32:54.600
<v Speaker 1>Bloomberg Business Week Will Webb, thank you so much. Disruption

0:32:54.600 --> 0:32:57.880
<v Speaker 1>and transportation as another factor to consider, a backlash against

0:32:57.960 --> 0:33:01.360
<v Speaker 1>cars and a technology whose time may have come and gone.

0:33:01.520 --> 0:33:04.000
<v Speaker 1>Very provocative, fun it is, and you know, we love

0:33:04.040 --> 0:33:07.680
<v Speaker 1>talking about transportation and cities, all the implications very close

0:33:07.760 --> 0:33:11.040
<v Speaker 1>to home here at Bloomberg. Max Chafkin, features editor for

0:33:11.040 --> 0:33:14.000
<v Speaker 1>the magazine, is here with us. Super Blocks. Didn't know

0:33:14.160 --> 0:33:16.320
<v Speaker 1>that was the thing, but it makes sense when you

0:33:16.760 --> 0:33:20.080
<v Speaker 1>start to explain it. So explain it's so Superblocks. Actually,

0:33:20.120 --> 0:33:22.240
<v Speaker 1>it's a it's a very old thing. Um, if you

0:33:22.360 --> 0:33:26.800
<v Speaker 1>look at kind of fifties style public housing, uh, you know,

0:33:26.960 --> 0:33:29.360
<v Speaker 1>basically a lot of the sort of urban thought that

0:33:29.520 --> 0:33:31.800
<v Speaker 1>was going on, you know, in the forties and fifties.

0:33:32.120 --> 0:33:34.560
<v Speaker 1>This idea of building these giant towers with like big

0:33:34.760 --> 0:33:36.920
<v Speaker 1>roads around them, and the idea would be that people

0:33:36.960 --> 0:33:40.000
<v Speaker 1>could sort of walk within these blocks. Super blocks considered

0:33:40.040 --> 0:33:42.600
<v Speaker 1>a good thing. Uh. Yeah, And and and people have

0:33:42.720 --> 0:33:44.520
<v Speaker 1>kind of moved away from that. We've we've much we've

0:33:44.560 --> 0:33:46.880
<v Speaker 1>moved to these cities with little grids and and all

0:33:46.960 --> 0:33:49.360
<v Speaker 1>sorts of stuff. Um. The story that we have in

0:33:49.600 --> 0:33:52.440
<v Speaker 1>this week's issue is about a town in northern Spain

0:33:52.840 --> 0:33:56.320
<v Speaker 1>called Victoria. Guest guess days, I hope I'm saying that right, Um.

0:33:56.480 --> 0:33:59.840
<v Speaker 1>And it's um. It's basically a town where they just

0:34:00.040 --> 0:34:04.040
<v Speaker 1>started radically getting rid of streets with cars. The town

0:34:04.160 --> 0:34:08.320
<v Speaker 1>has created sixty three of these super blocks, Um. And

0:34:08.440 --> 0:34:11.279
<v Speaker 1>these are streets where basically cars are not allowed. The

0:34:11.360 --> 0:34:13.000
<v Speaker 1>only way to have a car is if you live

0:34:13.040 --> 0:34:15.000
<v Speaker 1>on the street, or if you're a business and you're

0:34:15.000 --> 0:34:17.960
<v Speaker 1>getting delivery and the cars can only go ten kilometers

0:34:18.000 --> 0:34:20.799
<v Speaker 1>an hour, which is yeah, six miles an hour. It's

0:34:20.840 --> 0:34:22.680
<v Speaker 1>a jog. I mean, it's or not a jog. It's

0:34:22.960 --> 0:34:25.319
<v Speaker 1>you know, it's it's it's a it's it's a sort

0:34:25.320 --> 0:34:28.799
<v Speaker 1>of pedestrian scale pace and everything else, you know, as

0:34:28.840 --> 0:34:32.120
<v Speaker 1>the writer West and Zena describes, you know, very poetically

0:34:32.160 --> 0:34:36.600
<v Speaker 1>in the story, is basically cyclists, pedestrians, children, you have,

0:34:36.760 --> 0:34:39.840
<v Speaker 1>you know, Toddler's running about. It's it's it's really a

0:34:40.000 --> 0:34:43.000
<v Speaker 1>kind of like car free paradise, at least if that's

0:34:43.040 --> 0:34:45.440
<v Speaker 1>your kind of paradise. Yeah, it's pretty amazing. Tell us

0:34:45.440 --> 0:34:47.399
<v Speaker 1>about the guy who's behind it, right, because he's really

0:34:47.440 --> 0:34:51.240
<v Speaker 1>led the charge here. Yeah, Salvador Rueda, who's a Spanish

0:34:51.360 --> 0:34:54.320
<v Speaker 1>urban planner, and he has done these kind of superblock

0:34:54.400 --> 0:34:58.520
<v Speaker 1>conversions in a bunch of cities in Spain, including Barcelona. Uh.

0:34:58.640 --> 0:35:01.000
<v Speaker 1>And also he's he's a little bit of work in

0:35:01.200 --> 0:35:04.440
<v Speaker 1>South America in Quito, Ecuador, as well as Buenos Areas.

0:35:04.520 --> 0:35:08.760
<v Speaker 1>There's even a plan uh in in Washington to Seattle, sorry,

0:35:09.200 --> 0:35:12.759
<v Speaker 1>to bring uh super blocks there, although that's still kind

0:35:12.760 --> 0:35:16.760
<v Speaker 1>of in discussions. The interesting thing is is Washington, Washington,

0:35:16.840 --> 0:35:20.520
<v Speaker 1>in Seattle, It's okay. The interesting thing about this is

0:35:20.600 --> 0:35:22.640
<v Speaker 1>he's had a lot more success in Spain, I mean

0:35:23.000 --> 0:35:26.160
<v Speaker 1>especially in this town Victoria Guestez, which he calls his laboratory.

0:35:26.320 --> 0:35:28.880
<v Speaker 1>This is like proof that this concept can work. But

0:35:29.000 --> 0:35:30.600
<v Speaker 1>is it just prime in terms of the way that

0:35:30.760 --> 0:35:33.359
<v Speaker 1>that kind of that locale is set up. I think

0:35:33.400 --> 0:35:35.719
<v Speaker 1>it has to do. It's it's partly cultural. And you know,

0:35:35.800 --> 0:35:38.600
<v Speaker 1>these cities in Spain are very small. They they are

0:35:38.880 --> 0:35:41.880
<v Speaker 1>very much pedestrian oriented. You know, Europe, most of these

0:35:41.880 --> 0:35:44.640
<v Speaker 1>cities were laid out pre automobile. You go to place

0:35:44.680 --> 0:35:47.880
<v Speaker 1>like Buenos Areas, which you know, obviously the city was

0:35:47.960 --> 0:35:50.040
<v Speaker 1>laid out before the car, but that's a city that

0:35:50.239 --> 0:35:52.320
<v Speaker 1>is way more dependent on cars, you know, much like

0:35:52.680 --> 0:35:55.000
<v Speaker 1>an American city. And and there it's been a lot

0:35:55.080 --> 0:35:58.759
<v Speaker 1>more controversial. You've had sort of complaints that they've they've

0:35:58.800 --> 0:36:00.920
<v Speaker 1>managed to pull it off in a few neighborhoods, but

0:36:01.040 --> 0:36:03.359
<v Speaker 1>not in the kind of scale that they've been able

0:36:03.400 --> 0:36:06.680
<v Speaker 1>to do in Spain. Um. What's what's really provocative here

0:36:06.719 --> 0:36:09.080
<v Speaker 1>to me anyway, is just that this does not cost

0:36:09.120 --> 0:36:11.520
<v Speaker 1>a lot of money. As as Rueta points out in

0:36:11.560 --> 0:36:13.880
<v Speaker 1>the story, I mean, you don't really have to. Um,

0:36:14.320 --> 0:36:17.320
<v Speaker 1>you know, you're not demolishing anything, You're you're basically just

0:36:17.560 --> 0:36:19.880
<v Speaker 1>telling people they can't drive their cars on the street.

0:36:20.040 --> 0:36:22.360
<v Speaker 1>So it's it's more it's almost like a cultural solution

0:36:22.760 --> 0:36:25.920
<v Speaker 1>to the problem of climate change and also traffic deaths.

0:36:26.280 --> 0:36:30.000
<v Speaker 1>And so what's the downside? You know it obviously folks

0:36:30.080 --> 0:36:32.160
<v Speaker 1>are relying on cars. You think about a lot of

0:36:32.239 --> 0:36:34.759
<v Speaker 1>American cities where the commutes have just gotten bigger and

0:36:34.800 --> 0:36:37.120
<v Speaker 1>bigger and bigger. People are trying to move into cities,

0:36:37.160 --> 0:36:40.359
<v Speaker 1>and yet cities in many cases aren't affordable. So how

0:36:40.480 --> 0:36:42.400
<v Speaker 1>do all those things balance out? Yeah, I mean there

0:36:42.520 --> 0:36:44.440
<v Speaker 1>there are a couple of key downsides. One downside is

0:36:44.480 --> 0:36:46.400
<v Speaker 1>maybe you just don't want to live like this. I mean,

0:36:46.480 --> 0:36:48.520
<v Speaker 1>you know, having a car is really convenient. It's a

0:36:48.560 --> 0:36:50.759
<v Speaker 1>big part of how Uh in a lot of parts

0:36:50.800 --> 0:36:52.320
<v Speaker 1>of the world, you know, sort of people relate to

0:36:52.320 --> 0:36:54.960
<v Speaker 1>their surroundings um, and then there's this sort of gent

0:36:55.160 --> 0:36:58.720
<v Speaker 1>racation issue. You start kind of creating these like beautiful

0:36:58.880 --> 0:37:01.160
<v Speaker 1>urban islands, and we've seen this in lots of places

0:37:01.320 --> 0:37:04.360
<v Speaker 1>including the US, and and real estate prices go up

0:37:04.400 --> 0:37:06.400
<v Speaker 1>and then the people who live there are you know,

0:37:06.520 --> 0:37:09.640
<v Speaker 1>forced to leave. Uh. The sort of Spanish solution to

0:37:09.680 --> 0:37:11.800
<v Speaker 1>that is just to put lots of superblocks everywhere. So

0:37:12.040 --> 0:37:14.400
<v Speaker 1>it won't you know, affect the real estate prices too much.

0:37:14.400 --> 0:37:16.400
<v Speaker 1>Everybody's going to have these things, at least in this

0:37:16.600 --> 0:37:18.440
<v Speaker 1>in this one city in Spain. What does it do

0:37:18.560 --> 0:37:20.480
<v Speaker 1>though on society and what does it do in terms

0:37:20.520 --> 0:37:24.520
<v Speaker 1>of the environment. Yeah, so, uh, the the the Spanish

0:37:24.600 --> 0:37:27.520
<v Speaker 1>cities that have done this have reported you know, amazing impacts.

0:37:27.560 --> 0:37:30.080
<v Speaker 1>We're talking, you know, I think we have the number

0:37:30.120 --> 0:37:32.880
<v Speaker 1>in the story. I believe it's of the cars on

0:37:33.000 --> 0:37:37.000
<v Speaker 1>the road in Vittrria. Guests are are gone now, the

0:37:37.120 --> 0:37:40.800
<v Speaker 1>carbon emissions of the city something like down about and

0:37:40.920 --> 0:37:44.680
<v Speaker 1>you have a huge percentage of population walking as their

0:37:44.760 --> 0:37:48.680
<v Speaker 1>main uh, you know form of transportation, another fifteen percent biking.

0:37:48.760 --> 0:37:52.160
<v Speaker 1>So that's like sixty of people are using a non

0:37:52.320 --> 0:37:54.600
<v Speaker 1>car you know, method of transport, which is you know,

0:37:54.680 --> 0:37:57.879
<v Speaker 1>it's pretty amazing. And when you consider both the sort

0:37:57.920 --> 0:38:01.000
<v Speaker 1>of carbon emissions of you know, caused you know, automobiles,

0:38:01.120 --> 0:38:03.840
<v Speaker 1>but also yeah, the traffic deaths, it's it's it's potentially

0:38:03.880 --> 0:38:06.400
<v Speaker 1>as a huge impact well and presumably the knock on

0:38:06.520 --> 0:38:09.560
<v Speaker 1>effect of if people are walking, that's good for their health,

0:38:09.680 --> 0:38:11.960
<v Speaker 1>and you know, they're all these sort of benefits that

0:38:12.120 --> 0:38:15.160
<v Speaker 1>come on that may be harder to measure, at least

0:38:15.160 --> 0:38:17.960
<v Speaker 1>in the near term, but eventually will be much clearer

0:38:18.040 --> 0:38:20.160
<v Speaker 1>as time goes on. Yeah. I have to say, what's

0:38:20.200 --> 0:38:22.279
<v Speaker 1>interesting though, you see a little bit of that New York, right.

0:38:22.320 --> 0:38:24.359
<v Speaker 1>I have a town in a street in our town

0:38:24.440 --> 0:38:26.640
<v Speaker 1>that's been shut down, and you know, so you're slowly

0:38:26.680 --> 0:38:28.680
<v Speaker 1>seeing it kind of creep around the world. Yeah. I mean,

0:38:28.719 --> 0:38:30.759
<v Speaker 1>it's definitely a cultural thing, and you alluded to it.

0:38:30.800 --> 0:38:33.640
<v Speaker 1>I mean, we've over the last twenty years there's been

0:38:33.680 --> 0:38:36.080
<v Speaker 1>this kind of renewed interest in downtowns, which comes with

0:38:36.360 --> 0:38:39.640
<v Speaker 1>an interest in walking. Um. One other thing about this

0:38:39.960 --> 0:38:43.120
<v Speaker 1>Spanish town that's pretty interesting is it's a huge car town.

0:38:43.239 --> 0:38:45.239
<v Speaker 1>It's it's the second of it. I believe it's the

0:38:45.320 --> 0:38:49.200
<v Speaker 1>second biggest car manufacturing city in Spain. There's a Mercedes

0:38:49.280 --> 0:38:51.840
<v Speaker 1>factory in town, there's a Michelin plant in town. So

0:38:51.960 --> 0:38:55.000
<v Speaker 1>this is a city where uh, cars are really part

0:38:55.120 --> 0:38:57.600
<v Speaker 1>of the at least the business culture and and the

0:38:57.719 --> 0:39:00.920
<v Speaker 1>and their sense of identity. And even so it's embraced

0:39:01.239 --> 0:39:05.160
<v Speaker 1>this kind of solution m as West rights in the story.

0:39:05.360 --> 0:39:08.080
<v Speaker 1>You know, even the taxi drivers union is in favor

0:39:08.160 --> 0:39:10.000
<v Speaker 1>of this, and you sort of imagine, you know, if

0:39:10.000 --> 0:39:11.960
<v Speaker 1>you're if you're driving a car for a living, this

0:39:12.120 --> 0:39:13.719
<v Speaker 1>is not going to be something you're into. But but

0:39:13.800 --> 0:39:16.879
<v Speaker 1>they managed to really get you know, bipartisans support both

0:39:16.920 --> 0:39:19.600
<v Speaker 1>from the unions and kind of the center right party,

0:39:19.800 --> 0:39:22.240
<v Speaker 1>and he's building more right around the world. He's trying

0:39:22.520 --> 0:39:24.640
<v Speaker 1>and I will see if the you know, if people

0:39:24.680 --> 0:39:26.560
<v Speaker 1>are willing to go for it. That's Max chaff and

0:39:26.640 --> 0:39:28.800
<v Speaker 1>he's our features editor and he took us through the

0:39:28.840 --> 0:39:31.120
<v Speaker 1>world super blocks. You know, we see a little bit

0:39:31.160 --> 0:39:32.640
<v Speaker 1>of this, I feel like in New York City where

0:39:32.640 --> 0:39:35.760
<v Speaker 1>streets are being closed down and they're basically for pedestrian traffic.

0:39:36.120 --> 0:39:37.760
<v Speaker 1>But if you look at some cities around the world,

0:39:37.920 --> 0:39:41.400
<v Speaker 1>it's not just a few blocks, it's a much larger footprint. Well,

0:39:41.440 --> 0:39:43.520
<v Speaker 1>and you do wonder, having read this and talked to

0:39:43.600 --> 0:39:46.000
<v Speaker 1>Max about it, whether this is something that's going to

0:39:46.200 --> 0:39:50.279
<v Speaker 1>catch on as we go forward. Some of these experiments

0:39:50.520 --> 0:39:54.520
<v Speaker 1>have delivered some surprising results, so interesting to see where

0:39:54.560 --> 0:39:57.000
<v Speaker 1>it goes from here. Check out this week's issue of

0:39:57.000 --> 0:39:59.040
<v Speaker 1>the magazine. You'll find an interview with the co founder

0:39:59.080 --> 0:40:01.799
<v Speaker 1>of Emphasis, who returned to his company two years ago

0:40:01.840 --> 0:40:04.880
<v Speaker 1>following a scandal and firing of Evan CEO. Right, this

0:40:05.080 --> 0:40:07.520
<v Speaker 1>is a guy very much at the center, as you say,

0:40:07.600 --> 0:40:11.360
<v Speaker 1>of arguably one of the most important companies, certainly in India,

0:40:11.480 --> 0:40:15.319
<v Speaker 1>and part of the conversation is about expanding that reach,

0:40:15.400 --> 0:40:18.000
<v Speaker 1>both for his company and beyond. We're talking about Nandan

0:40:18.239 --> 0:40:21.320
<v Speaker 1>Nila Khannie. Jeff Muscus is here, the technology editor for

0:40:21.400 --> 0:40:25.960
<v Speaker 1>Bloomberg business Week. This guy's pretty provocative when it comes

0:40:26.080 --> 0:40:29.719
<v Speaker 1>to his vision for the world. Tell us about him. Yeah,

0:40:29.840 --> 0:40:33.200
<v Speaker 1>he's He co founded Infocist in the early eighties and

0:40:34.360 --> 0:40:36.319
<v Speaker 1>has been with the company in a number of top

0:40:36.480 --> 0:40:39.759
<v Speaker 1>roles for much of that time, including as CEO for

0:40:39.920 --> 0:40:42.920
<v Speaker 1>much of the early Oh it's before a two thousand

0:40:43.040 --> 0:40:46.120
<v Speaker 1>nine when he left to join the Indian government in

0:40:46.600 --> 0:40:49.960
<v Speaker 1>a newly created position to help develop at her this

0:40:50.280 --> 0:40:53.160
<v Speaker 1>sort of national biometric I D program that's proven highly

0:40:53.200 --> 0:40:55.800
<v Speaker 1>controversial for reasons you might imagine, Well, you kind of

0:40:55.880 --> 0:40:57.960
<v Speaker 1>like skimmed over that. That's a big deal, right, I

0:40:58.000 --> 0:41:00.960
<v Speaker 1>mean that he created that was big in terms of

0:41:01.000 --> 0:41:04.080
<v Speaker 1>its impact on India. But you're right, it's very controversial. Yeah,

0:41:04.160 --> 0:41:07.640
<v Speaker 1>the the this kind of biometric data slash national I

0:41:07.719 --> 0:41:10.880
<v Speaker 1>D card program is now used as no kind of

0:41:10.920 --> 0:41:13.000
<v Speaker 1>points out in the interview with our reporters or the

0:41:13.080 --> 0:41:16.759
<v Speaker 1>rye by you know some one point to billion Indians

0:41:16.880 --> 0:41:21.640
<v Speaker 1>for things including social security payments and uh and baseline

0:41:21.760 --> 0:41:24.840
<v Speaker 1>I d in all kinds of ways that UM didn't

0:41:24.840 --> 0:41:28.600
<v Speaker 1>really exist in a stratified way in India a decade ago. Um.

0:41:28.800 --> 0:41:31.560
<v Speaker 1>You know, but that's that's proven uh, you know, controversial

0:41:31.560 --> 0:41:36.080
<v Speaker 1>among privacy advocates because the system has proven relatively right

0:41:36.239 --> 0:41:39.600
<v Speaker 1>for abuse. It's easier to fool than you might think.

0:41:40.320 --> 0:41:45.440
<v Speaker 1>Uh and uh and yeah, there's their ongoing concerns about

0:41:46.040 --> 0:41:50.359
<v Speaker 1>UM the degree to which people's data, including their biometric data,

0:41:50.719 --> 0:41:53.400
<v Speaker 1>might be used for various purposes. Well, and between that

0:41:53.680 --> 0:41:56.520
<v Speaker 1>job and working on that and you know, now his

0:41:56.840 --> 0:42:00.600
<v Speaker 1>day job and the company he founded. Emphasis really takes

0:42:00.680 --> 0:42:03.800
<v Speaker 1>us into the heart of arguably some of the biggest

0:42:03.880 --> 0:42:07.600
<v Speaker 1>issues of our time as it relates to as you say, privacy,

0:42:08.000 --> 0:42:11.920
<v Speaker 1>as it relates to technology and its role in our lives.

0:42:12.000 --> 0:42:15.160
<v Speaker 1>What did he have to say about things like, for instance,

0:42:15.239 --> 0:42:19.440
<v Speaker 1>artificial intelligence because that plays into this as well. Sure, UM, yeah, AI,

0:42:20.040 --> 0:42:23.120
<v Speaker 1>along with big data in general, which sort of the

0:42:23.560 --> 0:42:26.240
<v Speaker 1>our our buzzword for AI before we start using AI.

0:42:26.920 --> 0:42:30.320
<v Speaker 1>UM was the you know, the big differentiator in his

0:42:30.480 --> 0:42:34.880
<v Speaker 1>mind between various companies in the I T outsourcing space

0:42:35.040 --> 0:42:39.000
<v Speaker 1>like Infosis, as they've tried to approach the big cloud

0:42:39.080 --> 0:42:43.760
<v Speaker 1>companies and the other big industry leaders around the world

0:42:44.080 --> 0:42:46.399
<v Speaker 1>who tried to sort of differentiate themselves by figuring out

0:42:46.440 --> 0:42:48.759
<v Speaker 1>as much about their customers as possible. So that also

0:42:48.880 --> 0:42:51.560
<v Speaker 1>raises privacy issues on the other end, as you might

0:42:51.640 --> 0:42:56.239
<v Speaker 1>imagine that. Uh, you know, the differentiator here in the

0:42:56.320 --> 0:43:00.239
<v Speaker 1>industry's mind is how much more they can figure out

0:43:00.320 --> 0:43:04.000
<v Speaker 1>about a given companies customer base, for example, then they

0:43:04.080 --> 0:43:06.640
<v Speaker 1>might have been able to a decade ago, um, but

0:43:06.800 --> 0:43:09.160
<v Speaker 1>without particularly going into a ton of detail about how

0:43:09.200 --> 0:43:11.000
<v Speaker 1>they get that information. Why did you want to talk

0:43:11.040 --> 0:43:14.280
<v Speaker 1>to him? No? I mean it's like I think about

0:43:14.360 --> 0:43:16.160
<v Speaker 1>you go back to when this company was first great.

0:43:16.160 --> 0:43:17.920
<v Speaker 1>I mean, we used to talk about emphasis a lot.

0:43:18.040 --> 0:43:20.719
<v Speaker 1>I feel like you don't talk about it as much anymore.

0:43:20.760 --> 0:43:22.440
<v Speaker 1>And I do understand there was a scandal couple of

0:43:22.520 --> 0:43:25.400
<v Speaker 1>years ago. I mean, but why, I mean he's got

0:43:25.440 --> 0:43:28.879
<v Speaker 1>a back page to the magazine. Why him? And why him? Now? Well,

0:43:28.960 --> 0:43:32.600
<v Speaker 1>he's been a pretty central figure in India's text base

0:43:32.800 --> 0:43:35.480
<v Speaker 1>for you know, much of the past half century and

0:43:35.800 --> 0:43:37.880
<v Speaker 1>all the more so now that he's you know, played

0:43:37.920 --> 0:43:40.400
<v Speaker 1>a leading role in the development of this program and

0:43:40.440 --> 0:43:42.640
<v Speaker 1>then sort of gone back into the corporate world to

0:43:42.680 --> 0:43:45.840
<v Speaker 1>try and and and write the shift of varying degrees

0:43:45.880 --> 0:43:48.880
<v Speaker 1>at the company he helped start. But you're right that

0:43:49.520 --> 0:43:53.680
<v Speaker 1>inmphasis like the other leading I t outsourcers in India.

0:43:53.719 --> 0:43:54.840
<v Speaker 1>I think it was a much bigger part of the

0:43:54.920 --> 0:43:59.320
<v Speaker 1>conversation even just a few years ago when the question,

0:43:59.360 --> 0:44:02.759
<v Speaker 1>a lot of the question is about America's text seeing

0:44:02.880 --> 0:44:06.439
<v Speaker 1>revolved around H one bs and the degree to which

0:44:06.560 --> 0:44:11.359
<v Speaker 1>perhaps UH immigrant labor was being used to buy big

0:44:11.440 --> 0:44:14.920
<v Speaker 1>tech companies in America to keep prices or wages artificially

0:44:15.000 --> 0:44:17.840
<v Speaker 1>lower than they might otherwise be. Um. You know, in

0:44:17.920 --> 0:44:21.800
<v Speaker 1>the Trump era, the conversation is shifted as uh you know,

0:44:21.880 --> 0:44:24.640
<v Speaker 1>the reministration has made good on on some of its

0:44:25.000 --> 0:44:26.799
<v Speaker 1>it starts to crack down in H one b use

0:44:26.960 --> 0:44:29.760
<v Speaker 1>in general, but you know, it's also shifting the conversation

0:44:29.840 --> 0:44:34.399
<v Speaker 1>around UH immigration and wages and of course big tech

0:44:34.480 --> 0:44:37.640
<v Speaker 1>as well. As you know, the fallout from the election

0:44:37.680 --> 0:44:39.919
<v Speaker 1>has put the industry on much different focus. And that's

0:44:40.040 --> 0:44:44.279
<v Speaker 1>Jeff Muscus. He had some important context about that conversation

0:44:44.360 --> 0:44:47.560
<v Speaker 1>with EMPHASIS co founder non Done Nila Khani. And one

0:44:47.600 --> 0:44:50.560
<v Speaker 1>of the things I really appreciated about that was the

0:44:50.640 --> 0:44:54.360
<v Speaker 1>importance of that business, that industry in India, but also

0:44:55.160 --> 0:44:59.440
<v Speaker 1>India's coming influence in a lot of ways. Where that

0:44:59.640 --> 0:45:02.000
<v Speaker 1>country he goes next is going to have a profound

0:45:02.200 --> 0:45:04.640
<v Speaker 1>impact on the global economy. Right. We talked about the

0:45:04.640 --> 0:45:07.960
<v Speaker 1>startup scene and where it's going. So really good to

0:45:08.040 --> 0:45:12.520
<v Speaker 1>get his insight. Susan Lyne's career has spanned publishing, multimedia,

0:45:12.600 --> 0:45:16.400
<v Speaker 1>and venture capitalism. She's the former president of ABC Entertainment.

0:45:16.520 --> 0:45:18.799
<v Speaker 1>She oversaw a O L dot com Jason. She has

0:45:18.880 --> 0:45:21.600
<v Speaker 1>done so much now she is in the world a

0:45:21.680 --> 0:45:24.400
<v Speaker 1>VC all in on that. She's president and founder at

0:45:24.440 --> 0:45:26.719
<v Speaker 1>BBG Venture. So we had a lot to talk about.

0:45:26.920 --> 0:45:30.040
<v Speaker 1>It's a great conversation. I really enjoyed it. Let's listen.

0:45:30.080 --> 0:45:33.120
<v Speaker 1>In your career has spanned so many different industries and multimedia,

0:45:33.200 --> 0:45:36.520
<v Speaker 1>I think about publishing, venture capitalism. I want to ask you,

0:45:36.840 --> 0:45:40.040
<v Speaker 1>there's so much going on in these worlds. What is

0:45:40.080 --> 0:45:41.920
<v Speaker 1>it that you find kind of interesting in terms of

0:45:42.000 --> 0:45:45.880
<v Speaker 1>disruptive trends right now? Oh? Wow? Um, I know it's broad,

0:45:46.080 --> 0:45:48.719
<v Speaker 1>but I just curious there are so many things, and

0:45:48.880 --> 0:45:53.160
<v Speaker 1>they they fall into a couple of categories. So I

0:45:53.280 --> 0:45:55.680
<v Speaker 1>still think that there are a lot of industries that

0:45:56.080 --> 0:46:02.960
<v Speaker 1>are that have not been disrupted. Actually, healthcare is probably

0:46:03.040 --> 0:46:06.799
<v Speaker 1>the biggest opportunity that exists right now. Uh, there are

0:46:07.000 --> 0:46:12.359
<v Speaker 1>still so many consumer unfriendly parts of of the health

0:46:12.440 --> 0:46:19.120
<v Speaker 1>care journey UM, and everybody, every single group at the

0:46:19.200 --> 0:46:23.600
<v Speaker 1>table believes that we need to have new solutions, whether

0:46:23.719 --> 0:46:27.560
<v Speaker 1>it's insurers or it's it's health care providers or its

0:46:27.640 --> 0:46:31.840
<v Speaker 1>consumers UM. So that's always a good moment to be

0:46:32.600 --> 0:46:36.040
<v Speaker 1>be investing. And we're actually seeing a lot of I

0:46:36.120 --> 0:46:40.439
<v Speaker 1>think more interesting models for delivery of either mental health

0:46:40.520 --> 0:46:46.880
<v Speaker 1>care or or physical health care UM that will need

0:46:46.960 --> 0:46:51.000
<v Speaker 1>to scale to prove themselves out, but could be very

0:46:51.120 --> 0:46:53.320
<v Speaker 1>viable over time. Well, and I looked at your investment

0:46:53.320 --> 0:46:54.960
<v Speaker 1>more friendly. I mean, since then, you guys are in

0:46:54.960 --> 0:46:57.920
<v Speaker 1>a lot of different areas. Are in retail, UM, you're

0:46:58.000 --> 0:47:00.640
<v Speaker 1>in you know, property, You're in some any different areas

0:47:00.719 --> 0:47:02.880
<v Speaker 1>in terms of healthcare. What are some of the new

0:47:02.920 --> 0:47:04.480
<v Speaker 1>models that you're seeing. What are some of the interesting

0:47:04.520 --> 0:47:07.480
<v Speaker 1>opportunities that you find that you want to commit money. Well,

0:47:07.680 --> 0:47:11.080
<v Speaker 1>we've made a couple of investments. We're in a company

0:47:11.080 --> 0:47:18.560
<v Speaker 1>called spring Health that takes over healthcare coverage for employees.

0:47:19.040 --> 0:47:21.880
<v Speaker 1>So they sell to companies. They say, let us do

0:47:22.040 --> 0:47:25.439
<v Speaker 1>this for you. We will be able to get your

0:47:25.560 --> 0:47:29.239
<v Speaker 1>employees to the right kind of care faster than you

0:47:29.360 --> 0:47:32.640
<v Speaker 1>could possibly do it. And they do that using algorithms.

0:47:32.680 --> 0:47:36.560
<v Speaker 1>They have a great database UM and they can both

0:47:36.960 --> 0:47:40.640
<v Speaker 1>save companies money and at the same time they can

0:47:40.960 --> 0:47:46.279
<v Speaker 1>get employees the care they need so much faster that uh,

0:47:46.520 --> 0:47:51.080
<v Speaker 1>it's a real bonus for the company culture. How difficult

0:47:51.120 --> 0:47:52.880
<v Speaker 1>do you think that it is to kind of untangle

0:47:53.080 --> 0:47:55.759
<v Speaker 1>the existing healthcare infrastructure. I think this is such a

0:47:55.840 --> 0:47:57.840
<v Speaker 1>tough one, and I think it's why you're not seeing it.

0:47:58.320 --> 0:48:01.120
<v Speaker 1>One of the earlier cases of just eruption. So how

0:48:01.480 --> 0:48:04.120
<v Speaker 1>how much you know the traditional healthcare companies that we

0:48:04.200 --> 0:48:06.839
<v Speaker 1>have today will be ultimately five years, ten years, they're

0:48:06.880 --> 0:48:09.000
<v Speaker 1>not going to be the major players because there's companies

0:48:09.200 --> 0:48:12.000
<v Speaker 1>like the ones that you're investing in UM under the

0:48:12.360 --> 0:48:15.400
<v Speaker 1>I think it completely depends on which part of this

0:48:15.520 --> 0:48:19.840
<v Speaker 1>ye're talking about. So I think the insurers are probably

0:48:19.960 --> 0:48:23.239
<v Speaker 1>not going to change in the short term, but I

0:48:23.320 --> 0:48:26.719
<v Speaker 1>think they are looking for more cost effective and more

0:48:26.880 --> 0:48:33.359
<v Speaker 1>successful solutions to a lot of different issues for consumers. UM.

0:48:33.840 --> 0:48:37.920
<v Speaker 1>So they're actually aligned with with all of us, right,

0:48:38.239 --> 0:48:42.719
<v Speaker 1>if you can find the right product for them, if

0:48:42.800 --> 0:48:46.200
<v Speaker 1>you can find something that you can show them you're

0:48:46.239 --> 0:48:49.960
<v Speaker 1>spending X, now we can do this for why and

0:48:51.320 --> 0:48:54.359
<v Speaker 1>you're going to save money. So I think there are

0:48:55.080 --> 0:49:00.040
<v Speaker 1>there are definitely alliances to be made. UM. Yeah, of

0:49:00.120 --> 0:49:03.920
<v Speaker 1>the biggest issues has been how slow it is to

0:49:04.000 --> 0:49:10.160
<v Speaker 1>get change at UM at large health care institutions, whether

0:49:10.239 --> 0:49:16.040
<v Speaker 1>their hospitals or their UM but there are far fewer

0:49:16.200 --> 0:49:21.960
<v Speaker 1>providers and so and by that I mean insurance providers.

0:49:22.640 --> 0:49:26.400
<v Speaker 1>UH that it's probably easier if you can find an

0:49:26.400 --> 0:49:29.239
<v Speaker 1>alliance with them. Now, there are also a lot of

0:49:29.360 --> 0:49:35.960
<v Speaker 1>companies that are starting clinics and new models for delivery

0:49:36.239 --> 0:49:42.040
<v Speaker 1>of either women's health care or um or prenatal and

0:49:42.200 --> 0:49:47.000
<v Speaker 1>postpartum care. They're taking some piece of this and they're

0:49:47.040 --> 0:49:52.239
<v Speaker 1>saying we can do this better UM and so I

0:49:52.800 --> 0:49:55.200
<v Speaker 1>think it will take time for those to scale up.

0:49:55.360 --> 0:49:58.160
<v Speaker 1>But as startups, a lot of them are doing very

0:49:58.200 --> 0:50:00.320
<v Speaker 1>well right and when it starts to show U impact

0:50:00.360 --> 0:50:02.440
<v Speaker 1>on bottom lines or something, it's very easy for them

0:50:02.480 --> 0:50:04.000
<v Speaker 1>to ramp up. I have to ask you about the

0:50:04.040 --> 0:50:06.120
<v Speaker 1>media world. I feel like there's so much going on.

0:50:06.680 --> 0:50:11.120
<v Speaker 1>You're the former president of ABC Entertainment, streaming Wars already

0:50:11.360 --> 0:50:13.359
<v Speaker 1>laying it out in Business Week magazine. This is going

0:50:13.400 --> 0:50:15.759
<v Speaker 1>to be one of the big themes to watch. Um,

0:50:16.680 --> 0:50:19.239
<v Speaker 1>who who will you be watching? There's Disney plus, there's

0:50:19.280 --> 0:50:23.399
<v Speaker 1>Apple plus, Comcasts got Peacock, HBO has got a new entry. Yeah,

0:50:23.480 --> 0:50:25.440
<v Speaker 1>what do you think it's interesting? Well, I think Disney

0:50:25.520 --> 0:50:28.560
<v Speaker 1>is really interesting. Now I'm I'm probably biased because I

0:50:28.640 --> 0:50:31.560
<v Speaker 1>was a little bit company for a decade, but I

0:50:31.680 --> 0:50:34.759
<v Speaker 1>do think they have unique assets and that's one of

0:50:34.880 --> 0:50:36.719
<v Speaker 1>the things either has done that I think it's been

0:50:36.760 --> 0:50:42.760
<v Speaker 1>incredibly smart. Um. If you look at the movie business

0:50:43.080 --> 0:50:46.719
<v Speaker 1>that Disney has because of the companies that have acquired,

0:50:46.760 --> 0:50:50.600
<v Speaker 1>because of Pixar, because of Marvel, m, because of the

0:50:50.640 --> 0:50:55.959
<v Speaker 1>Star Wars franchise. Uh, they have you know, I'm gonna

0:50:55.960 --> 0:51:00.200
<v Speaker 1>say more than half of the billion dollar phil homes

0:51:00.239 --> 0:51:04.200
<v Speaker 1>that have come out in the last five years. Um,

0:51:06.160 --> 0:51:09.200
<v Speaker 1>you want to see it exactly and again exactly? Um?

0:51:09.400 --> 0:51:13.600
<v Speaker 1>And who who know the franchise right? So so they

0:51:13.640 --> 0:51:16.919
<v Speaker 1>don't have to hear a long description of it before

0:51:17.000 --> 0:51:18.960
<v Speaker 1>they know, Hey, I want to I want to watch

0:51:19.040 --> 0:51:22.879
<v Speaker 1>this um and now with Fox they have an even

0:51:23.080 --> 0:51:27.120
<v Speaker 1>bigger library, so I think they're going to be hard

0:51:27.200 --> 0:51:30.560
<v Speaker 1>to beat among the new entrants, and they're coming out

0:51:30.600 --> 0:51:33.400
<v Speaker 1>pretty inexpectively. I think it's six so it's easy to

0:51:33.480 --> 0:51:36.719
<v Speaker 1>kind of tack that on absolutely. Um, it's cable dead

0:51:37.239 --> 0:51:39.040
<v Speaker 1>or getting slowly towards that. I mean, there's still like

0:51:39.120 --> 0:51:43.360
<v Speaker 1>eighty million US cable subscribers. But what what happens? You know?

0:51:43.480 --> 0:51:45.759
<v Speaker 1>I think it's going to take time. But I look

0:51:45.960 --> 0:51:51.880
<v Speaker 1>at my children and they are not cable customers. So

0:51:52.680 --> 0:51:57.920
<v Speaker 1>this is largely a generational shift. I think that, uh,

0:51:58.480 --> 0:52:02.920
<v Speaker 1>that people who have grown up with digital assets and

0:52:03.160 --> 0:52:07.200
<v Speaker 1>to understand how to use Apple TV and how to

0:52:07.320 --> 0:52:12.080
<v Speaker 1>use Roku and can put together their own you know

0:52:12.200 --> 0:52:15.920
<v Speaker 1>what would have been a cable assortment, right, they can

0:52:15.960 --> 0:52:18.239
<v Speaker 1>do that themselves for a lot less money. Do their

0:52:18.280 --> 0:52:21.200
<v Speaker 1>own bundling exactly, although some say that you could ultimately

0:52:21.280 --> 0:52:23.520
<v Speaker 1>see a bundling of streaming services down the road. Do

0:52:23.560 --> 0:52:27.399
<v Speaker 1>you think that. I think that's very possible. Yeah, why not? Right?

0:52:28.000 --> 0:52:30.200
<v Speaker 1>So what about building a brand in this environment? You

0:52:30.280 --> 0:52:32.200
<v Speaker 1>did it with Lifetime, You did so well. It was

0:52:32.280 --> 0:52:36.560
<v Speaker 1>a very clear message ramped up so successful. Can we

0:52:36.640 --> 0:52:42.759
<v Speaker 1>do that again today on television in the in the

0:52:43.440 --> 0:52:46.560
<v Speaker 1>broadcast or or or cable world, I think you can.

0:52:46.760 --> 0:52:50.239
<v Speaker 1>I think that tougher the Yes, it's definitely tougher. But

0:52:50.800 --> 0:52:54.680
<v Speaker 1>it all comes down to programming. To be honest, if

0:52:54.760 --> 0:52:57.640
<v Speaker 1>you look at how every single one of the cable

0:52:57.719 --> 0:53:02.080
<v Speaker 1>networks became six sessible, it's because they had a single

0:53:02.239 --> 0:53:06.920
<v Speaker 1>show that defined what they were about, right um. For

0:53:07.840 --> 0:53:14.280
<v Speaker 1>for HBO, it was the Sopranos, for um uh, for FX,

0:53:14.680 --> 0:53:20.360
<v Speaker 1>it was Madmen, um for uh, for show Time. You

0:53:20.680 --> 0:53:23.480
<v Speaker 1>go through all of them, you knew what you were getting,

0:53:23.560 --> 0:53:26.319
<v Speaker 1>you did. And then once they realized they had an

0:53:26.320 --> 0:53:30.360
<v Speaker 1>audience for that, right, they could begin to develop shows

0:53:30.960 --> 0:53:35.319
<v Speaker 1>that had a similar feel or were for similar group

0:53:35.400 --> 0:53:39.680
<v Speaker 1>of people. And the great thing about cable always was

0:53:39.800 --> 0:53:42.960
<v Speaker 1>that it was not about the number of people watching.

0:53:43.040 --> 0:53:46.280
<v Speaker 1>It was about the passion of the people who were watching.

0:53:46.440 --> 0:53:50.880
<v Speaker 1>So if they really, really really loved to show, that

0:53:51.080 --> 0:53:54.759
<v Speaker 1>meant more than having an extra million people viewing it.

0:53:55.200 --> 0:53:57.960
<v Speaker 1>As it made it that much harder for a cable

0:53:58.120 --> 0:54:01.360
<v Speaker 1>carrier to kick them off, right, because they have a

0:54:01.520 --> 0:54:04.160
<v Speaker 1>revolution right right. And I also do think like in

0:54:04.280 --> 0:54:07.240
<v Speaker 1>today's social media world, where there's so much data collection,

0:54:07.320 --> 0:54:09.480
<v Speaker 1>you had a very clear identity. If you're trying to

0:54:09.560 --> 0:54:12.040
<v Speaker 1>market it two advertisers, right, you knew exactly what you're getting.

0:54:12.280 --> 0:54:14.359
<v Speaker 1>So I think you're going to see that the new

0:54:14.480 --> 0:54:21.480
<v Speaker 1>streaming services to where initially a single show or a

0:54:21.600 --> 0:54:27.600
<v Speaker 1>single series is going to define what this one is

0:54:27.640 --> 0:54:31.319
<v Speaker 1>all about, and that's going to be what people kind

0:54:31.360 --> 0:54:35.040
<v Speaker 1>of choose their sides with. I'm not sure if you

0:54:35.120 --> 0:54:38.000
<v Speaker 1>got to watch any of Mark Zuckerberg today upon Capital Hill,

0:54:38.000 --> 0:54:39.560
<v Speaker 1>if you talked a lot about Libra. It was the

0:54:39.640 --> 0:54:43.040
<v Speaker 1>House Financial Services Committee. What do you think will happen

0:54:43.600 --> 0:54:47.440
<v Speaker 1>to social media going forward? And these big players or

0:54:47.800 --> 0:54:49.719
<v Speaker 1>you see it? Should they be broken up? In your view?

0:54:51.160 --> 0:54:56.640
<v Speaker 1>I I feel like I am not really the person

0:54:56.760 --> 0:55:00.480
<v Speaker 1>to answer that question, but I do believe that there

0:55:00.640 --> 0:55:05.160
<v Speaker 1>is too much power in too few platforms at this moment,

0:55:05.360 --> 0:55:12.520
<v Speaker 1>and uh that's always dangerous. So whether they get regulated,

0:55:12.640 --> 0:55:16.280
<v Speaker 1>whether they get broken up, that's for other people to decide.

0:55:16.320 --> 0:55:18.239
<v Speaker 1>But I don't think you can leave things the way

0:55:18.320 --> 0:55:23.520
<v Speaker 1>they are where where a single platform like Facebook has

0:55:23.719 --> 0:55:26.120
<v Speaker 1>the power that it does. That was Susan Line, President,

0:55:26.200 --> 0:55:29.359
<v Speaker 1>founder of BBG Ventures for the full interview with Susan Line.

0:55:29.440 --> 0:55:32.640
<v Speaker 1>Check out our Bloomberg Extra podcast wherever you get your podcast.

0:55:33.080 --> 0:55:36.040
<v Speaker 1>And that wraps up Bloomberg Business Week's weekend podcast. Thank

0:55:36.080 --> 0:55:37.759
<v Speaker 1>you so much for joining us. I'm Jason Kelly and

0:55:37.800 --> 0:55:40.160
<v Speaker 1>I'm Carol Masster. Be sure to tune into Bloomberg Business

0:55:40.200 --> 0:55:42.920
<v Speaker 1>Week Radio Live Monday through Friday, starting at two pm

0:55:42.960 --> 0:55:44.799
<v Speaker 1>Wall Street Time. And if you can't catch us live,

0:55:44.880 --> 0:55:48.120
<v Speaker 1>get our daily podcast for the ride home. Get that iTunes, SoundCloud,

0:55:48.120 --> 0:55:50.880
<v Speaker 1>Bloomberg dot com, or wherever you get your podcasts. And

0:55:50.960 --> 0:55:53.279
<v Speaker 1>of course you can get this week's edition of the magazine.

0:55:53.400 --> 0:55:55.640
<v Speaker 1>It is on newstands now and we'll be back right

0:55:55.680 --> 0:55:58.520
<v Speaker 1>here next week at the same time. This is Bloomberg