WEBVTT - Bloomberg Businessweek Weekend: August 21st, 2026

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is Bloomberg Business Week, Daily reporting from the magazine

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<v Speaker 2>that helps global leaders stay ahead with insight on the people, companies,

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<v Speaker 2>and trends shaping today's complex economy. Plus global business finance

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<v Speaker 2>and tech news as it happens. Bloomberg Business Weekdaily with

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<v Speaker 2>Carol Masser and Tim Steneveek on Bloomberg Radio.

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<v Speaker 3>Hi, everyone, Welcome to the weekend edition of Bloomberg Business Week.

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<v Speaker 3>Tim is off well.

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<v Speaker 4>This week.

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<v Speaker 3>Traders took stock after US Treasury Secretary Scott Bessant announced

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<v Speaker 3>a surprise increase in long term bond buybacks to stemmaize

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<v Speaker 3>in yields that had taken them to a near two

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<v Speaker 3>decade high. Analys have warned the plan maybe a short

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<v Speaker 3>term fix, giving concerns about large fiscal deficits and oil

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<v Speaker 3>driven inflation. Also a concern US government debt. We got

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<v Speaker 3>an update on that this week, coming in at forty

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<v Speaker 3>trillion dollars. We also got retail earnings, Continued uncertainty over

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<v Speaker 3>the US war in Iran, a softening trades dance between

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<v Speaker 3>the US and Canada, and the latest FOMC minutes showing

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<v Speaker 3>some hawkish sentiment that could re energize Betts for a

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<v Speaker 3>rate hike come September. All ahead of remarks this coming

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<v Speaker 3>week from FED Chairman Kevin worsh at the annual Jackson

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<v Speaker 3>Hole Symposium. His lack of guidance on when or whether

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<v Speaker 3>the Central Bank will adjust rates has added to uncertainty

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<v Speaker 3>over the policy outlook, as always the latest one. All

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<v Speaker 3>of this and more can be found on the Bloomberg

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<v Speaker 3>terminal end at Bloomberg dot com.

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<v Speaker 1>Now.

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<v Speaker 3>One of the things we love to do is give

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<v Speaker 3>a topic, an individual, a leader, a market watcher an

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<v Speaker 3>extended amount of time to talk with us. We learn

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<v Speaker 3>more we hope you do as well. So last week

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<v Speaker 3>we did this on the US's latest push to secure

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<v Speaker 3>rare earths and critical minerals. This week we feature one

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<v Speaker 3>of the most influential and frequently cited economists in the world.

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<v Speaker 3>We are talking about Nobel laureate and MIT professor Drone Asamoglu.

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<v Speaker 3>Our conversation coincided with his new book, What Happened to

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<v Speaker 3>Liberal Democracy? Remaking up Politics of Shared Prosperity. He joins

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<v Speaker 3>us in just a moment that chat is chock full

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<v Speaker 3>of topics for weekend discussions, and since it is the weekend,

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<v Speaker 3>and because we believe in mixing thoughtful discussions with some fun,

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<v Speaker 3>we are going to wrap up with the founder of

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<v Speaker 3>HSP Brands on how gen Z is impacting the cocktail Hour.

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<v Speaker 3>All right, let's get to it, and let's begin with

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<v Speaker 3>one important question. What happened to liberal democracy? That is

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<v Speaker 3>what Nobel Laureate economist and MIT professor Drone Asamoglu explores

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<v Speaker 3>in his latest book, aptly named What Happened to Liberal Democracy?

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<v Speaker 3>Remaking a politics of shared prosperity. He argues that liberalism

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<v Speaker 3>is dying primarily of self inflicted wounds. His solution what

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<v Speaker 3>he calls working class liberalism. He began talking with Tim

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<v Speaker 3>and me about the initial success the idea.

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<v Speaker 5>I think liberal democracy is one of the greatest achievements

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<v Speaker 5>we've had from our ape beginnings and lives in very

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<v Speaker 5>unequal circumstances, in very uncertain existence mired by violence. Today

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<v Speaker 5>we live in very complex societies, open to ideas, with

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<v Speaker 5>lots of individual freedom. People participate in politics peacefully, reach compromise,

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<v Speaker 5>sometimes consensus, and moreover, we get lots of things from

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<v Speaker 5>the government, including our ability to express our voice. That

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<v Speaker 5>is an amazing achievement, and we are, I think, at

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<v Speaker 5>the cusp of losing it. Liberal democracy, which still in

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<v Speaker 5>my mind is the best framework definitely something we very

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<v Speaker 5>much need for the future, is in crisis after decades

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<v Speaker 5>and decades of actually serving us quite well. So we

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<v Speaker 5>have to understand that crisis and we have to rebuild

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<v Speaker 5>liberal democracy unless we risk we want to risk losing it.

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<v Speaker 6>We're going to talk about how you think we can

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<v Speaker 6>rebuild it, but I want to just get some parameters

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<v Speaker 6>set here and do some definitions, because early on in

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<v Speaker 6>your book you talk about the definition of liberalism and

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<v Speaker 6>how it means different things to different people depending on

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<v Speaker 6>where you live, the European view versus the American view.

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<v Speaker 6>Just straighten that out for us right now before we

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<v Speaker 6>dive into this conversation.

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<v Speaker 5>Yeah, thanks, Tim, And that's very important. Liberalism has had

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<v Speaker 5>many meanings over the ages and today it's a big tent,

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<v Speaker 5>but at the core of it is a commitment to

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<v Speaker 5>protect individual liberties, also protect the weaker members of society,

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<v Speaker 5>and also a commitment to progress from which we all benefit.

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<v Speaker 5>Those are the defining features of liberal ideas and they

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<v Speaker 5>have acted as a rallying cry for people to build

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<v Speaker 5>a better society. And the way that I define it

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<v Speaker 5>liberal democracy is the institutionalization of these ideas. It's a

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<v Speaker 5>it's carrying them to the actual practice of our lives,

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<v Speaker 5>and it's been brilliantly successful in the grand scheme of things.

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<v Speaker 5>We've had decades of very rapid growth under liberal democracy.

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<v Speaker 5>For the about four decades following World War Two. Those

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<v Speaker 5>were not just high growth periods, but they were periods

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<v Speaker 5>in which inequality was remaining stable or sometimes even declining.

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<v Speaker 5>Every demographic group, men, women, by race, different education groups,

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<v Speaker 5>they saw their earnings grow very rapidly. And you know,

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<v Speaker 5>always political disagreements were very important, but generally peacefully. Today,

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<v Speaker 5>if you look at the pictures, very different. Shared prosperity

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<v Speaker 5>doesn't work anymore. Inequality has increased a lot, but worse.

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<v Speaker 5>In the United States, We've seen about half of the

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<v Speaker 5>population without a college degree experience stagnant or declining wages

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<v Speaker 5>for about four decades, while productivity increase, while people with

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<v Speaker 5>college degrees postgraduate degrees improve their living standards significantly. And

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<v Speaker 5>when you ask Americans, they have such negative views of

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<v Speaker 5>democratic institutions, their trust in Congress, in the Supreme Court,

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<v Speaker 5>and the presidencies. They are an all time law, the

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<v Speaker 5>countries polarized, and very concerningly, all Americans, but especially the young,

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<v Speaker 5>are much less willing to say that democracy is the

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<v Speaker 5>best form of government, and they're willing to experiment with

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<v Speaker 5>different ideas.

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<v Speaker 3>There are we destined to come here. I think people

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<v Speaker 3>point fingers out a particular president or political figure, but

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<v Speaker 3>we were we destined to be here.

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<v Speaker 5>I wouldn't say we're destined to be here, But I

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<v Speaker 5>would also not blame it on a particular president or

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<v Speaker 5>particular set of choices that are us specific, because you

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<v Speaker 5>see very similar trends across many advanced nations and even

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<v Speaker 5>in the emerging world. So there are some commonalities there.

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<v Speaker 5>So that's very important to get the diagnosis right so

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<v Speaker 5>that we know how to deal with it.

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<v Speaker 6>You actually make the point early on, I mean, this

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<v Speaker 6>is the way your book begins, and Carol and I

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<v Speaker 6>were was struck by this because we hear a lot

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<v Speaker 6>about Victor orbon Now and the figure that he is

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<v Speaker 6>in Hungary. But you make the point that, look, this

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<v Speaker 6>is somebody who in the late eighties early nineties was

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<v Speaker 6>a very different leader and represented something very different, not

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<v Speaker 6>just for that country, but for Europe.

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<v Speaker 5>Absolutely absolutely, And I think it is sort of telling

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<v Speaker 5>of the arc of liberalism that he was the poster

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<v Speaker 5>child for liberty, for building democratic institutions and then he

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<v Speaker 5>turned his back on all of these ideas. You know,

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<v Speaker 5>the exact circumstances in Hungary, of course, are different. Post

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<v Speaker 5>transition societies had a lot of trump many of them

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<v Speaker 5>navigated them better than Hungary. But I think the issues

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<v Speaker 5>that we see in the United States have commonalities with Hungary,

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<v Speaker 5>but they have a lot of communalities with what's going

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<v Speaker 5>on in the UK and France, in Germany, in the

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<v Speaker 5>rest of Europe.

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<v Speaker 6>Is there anywhere where this is not happening right now

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<v Speaker 6>that you would hold up in twenty twenty six as

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<v Speaker 6>an ideal liberal democracy ideal?

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<v Speaker 5>Absolutely not. And I don't think if you ask me

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<v Speaker 5>what is an idea that a liberal democracy going back, No,

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<v Speaker 5>there isn't. That's liberalism is always an aspiring ideology and

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<v Speaker 5>liberal democracy is always a work in progress. But today

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<v Speaker 5>you see different degrees of crisis. And one place where

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<v Speaker 5>I would say the crisis is also showing up in

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<v Speaker 5>some ways, but in a less severe form in Switzerland.

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<v Speaker 5>And one of the things about Switzerland is that it's

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<v Speaker 5>much more participatory. And you also see even today in

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<v Speaker 5>this polarized world that we live in where people shout

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<v Speaker 5>at each other, social media has really created a very

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<v Speaker 5>toxic ecosystem of exchange. You have recently experienced an amazing

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<v Speaker 5>achievement in Ireland in the context of this decision on

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<v Speaker 5>the referendum, which was based on citizens assemblies, building consensus,

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<v Speaker 5>changing people's minds, debating it for a long time, and

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<v Speaker 5>then putting it to vote for the people, where people

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<v Speaker 5>actually said this is what we want in two different referendums.

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<v Speaker 5>So there are ways in which we can make this

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<v Speaker 5>work even today, but there is a challenge.

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<v Speaker 3>There are challenges, and Tim and I both listened to

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<v Speaker 3>some different podcasters. When you did with I think James

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<v Speaker 3>Sanger of Harvard, that was really I said, what was

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<v Speaker 3>wonderful is it was a dialogue which is so refreshing.

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<v Speaker 3>The sense of community though, how important that is, And

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<v Speaker 3>you know, I think it might have been with mister Sayger.

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<v Speaker 3>This concept of people or maybe living different worlds, completely

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<v Speaker 3>separate worlds.

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<v Speaker 5>Absolutely, that's a problem. It's a big problem. But let's

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<v Speaker 5>go back to community. Because thank you for bringing it

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<v Speaker 5>down Carroll, community was quite important for liberal aspirations going

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<v Speaker 5>back several hundred years, and when you look at early

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<v Speaker 5>liberal democracy, communities played a very important role. One of

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<v Speaker 5>the very bad rock ideas of liberal democracy that there

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<v Speaker 5>should be self government people. It's not just that you

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<v Speaker 5>should be free to have thoughts, that you should also

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<v Speaker 5>be free to put them into practice. That means that

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<v Speaker 5>to have some control over your life. And it's not enough,

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<v Speaker 5>or it's not even meaningful to say, oh, you can

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<v Speaker 5>achieve that by going to the polls once every four

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<v Speaker 5>years or five years and have a vote. No, that

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<v Speaker 5>starts with local associations. But the Talkville saw in the

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<v Speaker 5>United States more than two hundred years one and fifty

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<v Speaker 5>years ago, and he thought that was just so remarkable.

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<v Speaker 5>It starts with local governments where people participate. It starts

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<v Speaker 5>with other organizations like labor unions were a very important

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<v Speaker 5>way for many working people to participate in self government.

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<v Speaker 5>And all of these you see they start at the

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<v Speaker 5>community level. But there's one thing something else, and then

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<v Speaker 5>you actually put your finger on that, Carol, which is

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<v Speaker 5>that when we have a debate, I think the best

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<v Speaker 5>way of ensuring that we're not just talking past each

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<v Speaker 5>other or we're not shouting at each other. Is that

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<v Speaker 5>we have some shared values, shared moral understanding, shared principles,

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<v Speaker 5>and that again comes from communities and then emanates from

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<v Speaker 5>communities to the national level. So all of these are

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<v Speaker 5>very important. But liberal democracy over the last several decades

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<v Speaker 5>has also turned its back on communities. Communities have become

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<v Speaker 5>more segregated. There has been a deeper division in the

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<v Speaker 5>United States between say, not just Republican and Democrat, but

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<v Speaker 5>between more educated and less educated segments. Their values have diverged,

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<v Speaker 5>their networks have diverged, and everything that was a bit

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<v Speaker 5>of a like a melting pot is no longer. One

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<v Speaker 5>very important one that we actually often overlook is where

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<v Speaker 5>people work the sort of of course I'm exaggerating, but

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<v Speaker 5>the typical firm of the industrial age was like a

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<v Speaker 5>manufacturing plant, where you had managers, you had consultants, you

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<v Speaker 5>had engineers, you had white color workers, blue color worker,

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<v Speaker 5>custodial workers. So it was a real melting pot. Today,

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<v Speaker 5>the image that you might have in your mind is

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<v Speaker 5>Google on the one hand and McDonald's on the other,

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<v Speaker 5>and complete divide in terms of not just income, education

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<v Speaker 5>and background on who works there and so we're not

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<v Speaker 5>getting that melting that will bring those shared principles together

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<v Speaker 5>on which we can then build something better.

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<v Speaker 3>That was Drone smo Glue, economic Nobel Laureate and Institute

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<v Speaker 3>Professor in the Department of Economics at MIT. Coming up,

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<v Speaker 3>we'll have more with him, including how the digital technology

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<v Speaker 3>revolution unleashed a huge increase in inequality. You're listening to

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<v Speaker 3>Bloomberg Business Week. This is Bloomberg.

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<v Speaker 2>This is Bloomberg Business Week Daily with Carol Masser and

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<v Speaker 2>Tim Steneveek on Bloomberg Radio.

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<v Speaker 3>We continue speaking with the author of What Happened to

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<v Speaker 3>Liberal Democracy? Remaking Up Politics of Shared Prosperity. It is

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<v Speaker 3>written by Drona Smoglu. He has Economic sciences Nobel laureate

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<v Speaker 3>an Institute professor in the Department of Economics at MIT.

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<v Speaker 6>This is actually a perfect question for a segue that

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<v Speaker 6>we wanted to get to and has to do with technology.

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<v Speaker 6>In your view of technology, could digital connectivity allow a

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<v Speaker 6>more direct democracy when moving slightly away from representative democracy

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<v Speaker 6>and to direct democracy help alleviate concerns from those who

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<v Speaker 6>are losing faith. So two different questions there. I wanted

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<v Speaker 6>to start with the technology one because you have some

0:13:56.800 --> 0:14:00.480
<v Speaker 6>really interesting views about technology's role in actually moving us

0:14:00.520 --> 0:14:01.920
<v Speaker 6>away from liberal democracy.

0:14:01.960 --> 0:14:04.120
<v Speaker 5>What do you think, Well, I mean, let me just

0:14:04.200 --> 0:14:06.800
<v Speaker 5>say that technology plays a central role in the book,

0:14:07.040 --> 0:14:12.880
<v Speaker 5>in several parts, but centrally in understanding how we transition

0:14:12.960 --> 0:14:15.640
<v Speaker 5>from an industrial economy to a post industrial economy. So

0:14:15.679 --> 0:14:20.080
<v Speaker 5>the Google McDonald's is just a symptom of something much

0:14:20.200 --> 0:14:22.280
<v Speaker 5>broader about how the economy is organized, and that was

0:14:22.320 --> 0:14:25.960
<v Speaker 5>a technological transition. Partly globalization played the role as well.

0:14:26.680 --> 0:14:31.440
<v Speaker 5>But second, algorithms are so much more important today. They

0:14:31.720 --> 0:14:35.600
<v Speaker 5>in some domains actually rule our lives. So we have

0:14:35.720 --> 0:14:41.160
<v Speaker 5>to come to grips with information ecosystem, communication ecosystem created

0:14:41.200 --> 0:14:47.600
<v Speaker 5>by algorithms. Now, in both how digital technologies influence shared

0:14:47.640 --> 0:14:53.240
<v Speaker 5>prosperity and how algorithm influence our communication. I don't think

0:14:53.280 --> 0:14:58.680
<v Speaker 5>there is anything predetermined. Technology doesn't come with a pre

0:14:58.720 --> 0:15:01.120
<v Speaker 5>programmed thing that says I'm I'm going to create inequality,

0:15:01.120 --> 0:15:05.280
<v Speaker 5>I'm going to destroy communication. It's how we use technology,

0:15:05.320 --> 0:15:08.320
<v Speaker 5>how we define technology, how we develop it. And on

0:15:08.480 --> 0:15:11.360
<v Speaker 5>social media, I think it's very telling to go back

0:15:11.400 --> 0:15:13.840
<v Speaker 5>to how people were viewing it in the late nineteen

0:15:13.880 --> 0:15:17.800
<v Speaker 5>nineties early two thousands. Everybody thought, I mean almost everybody

0:15:17.840 --> 0:15:22.320
<v Speaker 5>thought that this was going to democratize communication. The Arab

0:15:22.400 --> 0:15:26.160
<v Speaker 5>spring was Facebook and Twitter in some places, the new

0:15:26.200 --> 0:15:30.320
<v Speaker 5>wikis were going to make information available and you know

0:15:30.480 --> 0:15:33.600
<v Speaker 5>those hopes. Okay, they turned out to be that, right,

0:15:34.160 --> 0:15:38.200
<v Speaker 5>we can agree on that, but they weren't completely naive.

0:15:38.720 --> 0:15:41.640
<v Speaker 5>The reason why they weren't naive is because technology had

0:15:41.680 --> 0:15:47.520
<v Speaker 5>that capability. We could have built new communities for reliable information,

0:15:47.920 --> 0:15:51.800
<v Speaker 5>to create new compromises, to find new bridging ways in

0:15:51.840 --> 0:15:55.120
<v Speaker 5>which we can bring ourselves together. But it turned out

0:15:55.200 --> 0:15:57.920
<v Speaker 5>that the key decisions that many companies made were not

0:15:57.960 --> 0:16:00.480
<v Speaker 5>about that. My Space, for example, one of the first

0:16:00.520 --> 0:16:02.600
<v Speaker 5>social media side, is a bit closer to that because

0:16:02.600 --> 0:16:03.960
<v Speaker 5>it brought communities together.

0:16:04.080 --> 0:16:05.760
<v Speaker 6>Shout out to Tom MySpace.

0:16:05.880 --> 0:16:12.280
<v Speaker 5>Okay, fantastic, yes, But algorithmic feeds that essentially amplified the

0:16:12.320 --> 0:16:17.200
<v Speaker 5>most incendiary material, the one that gets views because it's extreme,

0:16:17.320 --> 0:16:20.720
<v Speaker 5>that angers the other side and motivates your side to

0:16:20.720 --> 0:16:23.800
<v Speaker 5>become even more vocal. Those are the kinds of things

0:16:23.800 --> 0:16:26.920
<v Speaker 5>that rise up in the algorithmic feed And on another part,

0:16:27.000 --> 0:16:30.400
<v Speaker 5>they are the things that create envy and undergird mental

0:16:30.440 --> 0:16:32.600
<v Speaker 5>health problems. But all of them, you know, what they

0:16:32.640 --> 0:16:38.200
<v Speaker 5>also do. They take their attention towards social media communication

0:16:38.480 --> 0:16:41.720
<v Speaker 5>and as a result, Americans interact much less physically with

0:16:41.800 --> 0:16:45.120
<v Speaker 5>other people. They have fewer friends, fewer close friends. They

0:16:45.200 --> 0:16:50.440
<v Speaker 5>spend much less time going to bars, coffee shops. Nobody

0:16:50.440 --> 0:16:54.120
<v Speaker 5>calls anybody anymore, and that is very important because the

0:16:54.200 --> 0:16:58.320
<v Speaker 5>social networks that reform are messy. They teach us to

0:16:58.320 --> 0:17:02.200
<v Speaker 5>make compromises, and they us a lot of rich, contextual

0:17:02.240 --> 0:17:03.520
<v Speaker 5>information about our lives.

0:17:03.560 --> 0:17:07.200
<v Speaker 3>Do you blame the tech CEOs who run those companies?

0:17:07.240 --> 0:17:08.320
<v Speaker 5>Oh, we might as well. Why not?

0:17:10.280 --> 0:17:11.159
<v Speaker 4>Well, because it is.

0:17:11.160 --> 0:17:14.840
<v Speaker 3>An interesting time where you are seeing lawsuits against social

0:17:14.880 --> 0:17:17.760
<v Speaker 3>media companies meta platforms. We keep referencing this in their

0:17:17.800 --> 0:17:20.199
<v Speaker 3>latest earnings. I think it was two billion dollars for

0:17:20.200 --> 0:17:22.920
<v Speaker 3>certain lawsuits and they said it was a material impact

0:17:23.400 --> 0:17:26.280
<v Speaker 3>on the company, and it's just the beginning of lawsuits

0:17:26.280 --> 0:17:29.520
<v Speaker 3>from our reporting team. But I do wonder what is

0:17:29.560 --> 0:17:34.320
<v Speaker 3>their responsibility? And this goes to you get into this too,

0:17:34.400 --> 0:17:37.480
<v Speaker 3>like the people who run these firms, and they're very

0:17:37.520 --> 0:17:40.959
<v Speaker 3>wealthy and very influential, and I don't think I'm speaking

0:17:40.960 --> 0:17:41.480
<v Speaker 3>out of turn.

0:17:41.520 --> 0:17:42.760
<v Speaker 4>And we talk about having.

0:17:42.600 --> 0:17:45.399
<v Speaker 3>A seat at the table, at the political table. We don't.

0:17:45.760 --> 0:17:48.120
<v Speaker 4>It's people with their deeper pockets.

0:17:48.119 --> 0:17:50.280
<v Speaker 5>Well, you are very influential, but.

0:17:52.160 --> 0:17:55.880
<v Speaker 4>Actually you are very but anyway, so, but like all

0:17:55.880 --> 0:17:56.520
<v Speaker 4>of this, of.

0:17:56.480 --> 0:18:00.119
<v Speaker 5>Course we all have responsibility. We all have responsibility if

0:18:00.160 --> 0:18:04.120
<v Speaker 5>democracy is in crisis, we are all responsible because democracy

0:18:04.200 --> 0:18:08.960
<v Speaker 5>requires active, vigilant, participating citizens.

0:18:09.240 --> 0:18:11.199
<v Speaker 3>Why are why are people more active?

0:18:12.400 --> 0:18:15.440
<v Speaker 5>I think we took some of these things for granted. Okay,

0:18:16.720 --> 0:18:23.240
<v Speaker 5>we've gone down the path of sort of easy sort

0:18:23.280 --> 0:18:30.760
<v Speaker 5>of life, and some of what democratic citizenship requires is messy.

0:18:30.960 --> 0:18:32.280
<v Speaker 5>Some of the things that we should do in our

0:18:32.320 --> 0:18:36.280
<v Speaker 5>communities are costly. For example, giving blood. You know, you

0:18:36.320 --> 0:18:39.240
<v Speaker 5>get very little benefit from that other than the pride

0:18:39.280 --> 0:18:41.840
<v Speaker 5>that you're contributing to something. And people used to do

0:18:41.920 --> 0:18:44.840
<v Speaker 5>that much more and they do that much less. That's

0:18:44.920 --> 0:18:48.520
<v Speaker 5>just a symbolic thing that shows that if you don't

0:18:48.600 --> 0:18:52.919
<v Speaker 5>create the right narrative, the right sort of way of

0:18:53.040 --> 0:18:56.720
<v Speaker 5>drawing on our responsibilities, people are going to start withdrawing

0:18:56.760 --> 0:18:58.000
<v Speaker 5>a little bit, and then a little bit more, and

0:18:58.040 --> 0:19:00.320
<v Speaker 5>then a little bit more, and then the result because

0:19:00.320 --> 0:19:03.000
<v Speaker 5>we're not participating in communities and we're not participating to

0:19:03.000 --> 0:19:03.960
<v Speaker 5>defend democracy.

0:19:04.640 --> 0:19:09.440
<v Speaker 6>But I can't help but think of the changing view

0:19:09.760 --> 0:19:13.399
<v Speaker 6>that Americans have about democracy in recent years. And I

0:19:13.440 --> 0:19:18.200
<v Speaker 6>think back to the Democratic National Convention in twenty twenty

0:19:18.200 --> 0:19:22.679
<v Speaker 6>four and the core message from Democrats and it was

0:19:23.160 --> 0:19:25.120
<v Speaker 6>I'll never forget this. I was watching this on TV.

0:19:25.200 --> 0:19:27.639
<v Speaker 6>I watched the Republican one as well, but they played

0:19:27.640 --> 0:19:31.600
<v Speaker 6>this video that was basically a highlight reel of January sixth,

0:19:32.200 --> 0:19:34.320
<v Speaker 6>and it was you know, Carol and I were on

0:19:34.359 --> 0:19:36.840
<v Speaker 6>air covering January sixth when it happened. We were speaking

0:19:36.840 --> 0:19:40.000
<v Speaker 6>to our colleagues who were at the capital who were,

0:19:40.119 --> 0:19:43.280
<v Speaker 6>you know, felt under attack. And I remember watching that

0:19:43.480 --> 0:19:49.000
<v Speaker 6>and thinking, wow, you know, there's no way that Trump

0:19:49.080 --> 0:19:53.120
<v Speaker 6>is going to win this election because Americans are being reminded.

0:19:52.720 --> 0:19:53.720
<v Speaker 3>Of this right right.

0:19:54.640 --> 0:19:58.479
<v Speaker 6>But it's like January six never happened to so many people,

0:19:58.920 --> 0:20:03.480
<v Speaker 6>including lom who stand side by side with the president

0:20:04.080 --> 0:20:07.520
<v Speaker 6>and at one point were very critical of him. And

0:20:07.560 --> 0:20:10.520
<v Speaker 6>I'm just curious, is like, does that stuff not matter

0:20:11.280 --> 0:20:12.320
<v Speaker 6>in today's.

0:20:11.880 --> 0:20:16.320
<v Speaker 3>Age or does it or does that really matter to

0:20:16.359 --> 0:20:19.320
<v Speaker 3>show that there are people who somehow feel like I

0:20:19.359 --> 0:20:20.400
<v Speaker 3>don't have representation.

0:20:20.520 --> 0:20:22.119
<v Speaker 4>I'm looking for another way. I don't know if that's.

0:20:22.000 --> 0:20:24.000
<v Speaker 6>Part of well, I mean, I think look, it also

0:20:24.040 --> 0:20:25.879
<v Speaker 6>gets to the court and we'll talk about economics. But

0:20:25.920 --> 0:20:29.840
<v Speaker 6>it's like, obviously it was what voters felt like, you know,

0:20:30.400 --> 0:20:32.480
<v Speaker 6>they were driven by economic issues at the polls, not

0:20:32.520 --> 0:20:33.439
<v Speaker 6>democracy issues.

0:20:33.600 --> 0:20:37.360
<v Speaker 5>I think they were driven by motivated by economic issues,

0:20:37.960 --> 0:20:41.360
<v Speaker 5>and they were also reacting to Biden's presidency that they

0:20:41.400 --> 0:20:44.960
<v Speaker 5>thought in some ways didn't work very well. And I

0:20:44.960 --> 0:20:49.080
<v Speaker 5>think part of the reason why January sixth was not

0:20:49.320 --> 0:20:53.240
<v Speaker 5>front and center, it's cognitive dissonance. Once they said they

0:20:53.359 --> 0:20:56.280
<v Speaker 5>were going to vote for the Republican alternative because we

0:20:56.320 --> 0:20:58.920
<v Speaker 5>want to vote against the establishment, and right now the

0:20:59.000 --> 0:21:02.960
<v Speaker 5>establishment is by and the left, you know, is always

0:21:03.200 --> 0:21:06.800
<v Speaker 5>more at the center of liberal democracy because it was

0:21:07.080 --> 0:21:09.359
<v Speaker 5>you know, things like the new Deliberalism or the social

0:21:09.440 --> 0:21:13.200
<v Speaker 5>democracy in Europe that led the charge. So it's more

0:21:13.240 --> 0:21:17.640
<v Speaker 5>associated with establishment. So anti establishment feeling turns against that,

0:21:17.720 --> 0:21:21.000
<v Speaker 5>and then cognitive dissonance. I don't want to hold two

0:21:21.040 --> 0:21:25.040
<v Speaker 5>conflicting thoughts in my mind. I'm going to support Trump, well,

0:21:25.119 --> 0:21:29.560
<v Speaker 5>then I'll downplay January sixth. But the media ecosystem played

0:21:29.600 --> 0:21:33.520
<v Speaker 5>a very important role. If the media ecosystem was integrated, yeah,

0:21:34.040 --> 0:21:36.560
<v Speaker 5>and the communities were integrated, that would be much harder

0:21:36.600 --> 0:21:39.600
<v Speaker 5>because your brother you wouldn't be fighting with your brother,

0:21:39.720 --> 0:21:43.960
<v Speaker 5>and he would remind you, look, don't you forget January sixth.

0:21:44.400 --> 0:21:47.640
<v Speaker 5>But today, either in your community there is nobody who

0:21:47.680 --> 0:21:51.320
<v Speaker 5>has an opposite view to yours, or if they do,

0:21:51.600 --> 0:21:54.280
<v Speaker 5>the situation has become so polarized that you don't listen

0:21:54.280 --> 0:21:56.120
<v Speaker 5>to them because you think of them as the enemy,

0:21:56.400 --> 0:21:58.800
<v Speaker 5>even when they are your brother. And that's really not

0:21:59.119 --> 0:22:03.119
<v Speaker 5>very productive. But that's in again an ecosystem that we've created.

0:22:03.480 --> 0:22:06.000
<v Speaker 5>We don't need to be in that ecosystem.

0:22:05.840 --> 0:22:06.520
<v Speaker 4>Do you think.

0:22:07.119 --> 0:22:08.600
<v Speaker 3>And we're going to take a break and then come

0:22:08.640 --> 0:22:12.040
<v Speaker 3>back and talk some more. In terms of social media companies,

0:22:12.080 --> 0:22:16.720
<v Speaker 3>technology companies, there needs to be some kind of greater

0:22:16.840 --> 0:22:20.880
<v Speaker 3>regulation over them. In terms of these platforms because they

0:22:20.920 --> 0:22:22.040
<v Speaker 3>are so influential.

0:22:22.160 --> 0:22:29.520
<v Speaker 5>Yes, absolutely, So let's take a step back. And democracy

0:22:29.960 --> 0:22:33.520
<v Speaker 5>needs citizenry, as we discussed, but that needs to be

0:22:33.560 --> 0:22:39.960
<v Speaker 5>informed citizenry. So information relevant for politics in some level

0:22:40.080 --> 0:22:43.680
<v Speaker 5>is a public good and if it becomes very polluted,

0:22:43.880 --> 0:22:47.159
<v Speaker 5>it makes things very difficult. So imagine that a mayor

0:22:47.640 --> 0:22:51.480
<v Speaker 5>takes important steps and shows how you can rebuild your community,

0:22:51.480 --> 0:22:54.880
<v Speaker 5>provide better public services, improve things. You mean, the job

0:22:54.880 --> 0:23:02.480
<v Speaker 5>of the mayor for example, but then social media presents

0:23:02.680 --> 0:23:07.560
<v Speaker 5>that as a complete failure to everybody. That's going to

0:23:07.640 --> 0:23:12.480
<v Speaker 5>create real difficulties now. But it's a very delicate issue. Liberalism,

0:23:12.480 --> 0:23:14.960
<v Speaker 5>as I said, has to spend four starts to stand

0:23:15.000 --> 0:23:18.040
<v Speaker 5>for freedoms, and freedom of speech is critical.

0:23:18.520 --> 0:23:22.880
<v Speaker 3>And even if you don't believe in that or it's

0:23:22.880 --> 0:23:25.240
<v Speaker 3>a controversial position I.

0:23:26.840 --> 0:23:29.800
<v Speaker 5>Am. I am a free speech absolutist. I think individuals

0:23:29.840 --> 0:23:33.280
<v Speaker 5>should be free to express their opinion, but I don't

0:23:33.280 --> 0:23:37.399
<v Speaker 5>think free speech extends to algorithms. So I should be

0:23:37.440 --> 0:23:39.600
<v Speaker 5>able to say whatever you want. I want. You should

0:23:39.600 --> 0:23:42.080
<v Speaker 5>be able to say whatever you want, Carol. But then

0:23:42.400 --> 0:23:45.119
<v Speaker 5>if algorithms take the worst of what we say and

0:23:45.160 --> 0:23:48.640
<v Speaker 5>amplify that, that's not freedom of speech. That's manipulation. So

0:23:48.640 --> 0:23:51.879
<v Speaker 5>that's why we need to put some rules for algorithms.

0:23:51.880 --> 0:23:54.879
<v Speaker 5>For example, one thing that would work is if we

0:23:54.920 --> 0:23:58.399
<v Speaker 5>go back to the MySpace day without algorithmic feed you

0:23:59.280 --> 0:24:02.760
<v Speaker 5>on social media. TikTok wouldn't work because it's the it's

0:24:02.840 --> 0:24:05.440
<v Speaker 5>exactly based on this algorithmic feed model, But the other

0:24:05.480 --> 0:24:08.520
<v Speaker 5>ones would work. Facebook could work where just like before,

0:24:08.560 --> 0:24:12.120
<v Speaker 5>you would go and listen to or watch the videos

0:24:12.160 --> 0:24:14.800
<v Speaker 5>from your friends and neighbors, or the trusted news sources,

0:24:15.359 --> 0:24:19.200
<v Speaker 5>but not from the most incendiary sources that have been

0:24:20.119 --> 0:24:24.040
<v Speaker 5>just fed to you by the algorithm that would at

0:24:24.080 --> 0:24:28.160
<v Speaker 5>one fell swoop really change the dynamics of how we communicate.

0:24:27.760 --> 0:24:30.000
<v Speaker 3>And the financial structure of that business.

0:24:30.119 --> 0:24:31.560
<v Speaker 4>I mean, that's the other engage.

0:24:31.600 --> 0:24:32.719
<v Speaker 5>Why do you think they're doing it?

0:24:32.840 --> 0:24:33.960
<v Speaker 4>No, I know exactly.

0:24:34.040 --> 0:24:36.440
<v Speaker 6>It all comes down to that one word engagement, right,

0:24:36.480 --> 0:24:38.680
<v Speaker 6>which is what you know investors care about.

0:24:38.880 --> 0:24:40.959
<v Speaker 3>I want to get to a question from Brendan if

0:24:41.000 --> 0:24:44.879
<v Speaker 3>I made it, Brendan from Maryland. His question is what

0:24:44.960 --> 0:24:49.560
<v Speaker 3>is the meaning of participatory citizenship when so few have

0:24:50.000 --> 0:24:51.840
<v Speaker 3>so much and so many are in need.

0:24:52.359 --> 0:24:52.560
<v Speaker 1>Yeah.

0:24:52.600 --> 0:24:55.560
<v Speaker 5>I think that's a great question because money plays a

0:24:55.640 --> 0:24:58.360
<v Speaker 5>role in politics. So if we do not regulate how

0:24:58.400 --> 0:25:03.240
<v Speaker 5>money is used in politics, then one person, one vote

0:25:03.280 --> 0:25:06.399
<v Speaker 5>doesn't really mean much. There are several political scientists who

0:25:06.400 --> 0:25:12.560
<v Speaker 5>have documented that members of the House and Senate listen

0:25:12.680 --> 0:25:16.560
<v Speaker 5>much more to their wealthier constituents, and then it's no

0:25:16.680 --> 0:25:20.400
<v Speaker 5>surprise that most Americans say, you know, elected representatives don't

0:25:20.400 --> 0:25:21.040
<v Speaker 5>speak for us.

0:25:21.480 --> 0:25:25.480
<v Speaker 3>That's drone A. Somoglu, Economic Science Nobel Laureate, an Institute

0:25:25.480 --> 0:25:28.639
<v Speaker 3>professor in the Department of Economics at MIT. His new

0:25:28.680 --> 0:25:31.840
<v Speaker 3>book that we are talking about what happened to Liberal Democracy?

0:25:32.200 --> 0:25:35.720
<v Speaker 3>Remaking up? Politics of Shared prosperity. When we come back

0:25:35.800 --> 0:25:38.280
<v Speaker 3>the topic that is brought up in nearly every conversation.

0:25:38.680 --> 0:25:41.440
<v Speaker 3>It involves lots of money and could be the best

0:25:41.480 --> 0:25:44.399
<v Speaker 3>thing ever or the demise of the world as we

0:25:44.480 --> 0:25:46.840
<v Speaker 3>know it, We're talking about the role of AI in

0:25:46.880 --> 0:25:49.680
<v Speaker 3>our democracy. When we continue with our guests this hour,

0:25:49.960 --> 0:25:53.240
<v Speaker 3>Nobel Laureate Drone A. Somoglu. This is Bloomberg.

0:25:58.560 --> 0:26:02.760
<v Speaker 2>This is Bloomberg Business Week Daily with Carol Masser and

0:26:02.840 --> 0:26:05.680
<v Speaker 2>Tim Steneveek on Bloomberg Radio.

0:26:06.560 --> 0:26:08.679
<v Speaker 3>We are back on Bloomberg Business Week. We're talking with

0:26:08.800 --> 0:26:13.080
<v Speaker 3>MIT Professor Nabel Laureate Drone smo Glub his new book,

0:26:13.119 --> 0:26:17.400
<v Speaker 3>What Happened to Liberal Democracy? Remaking Up? Politics of Shared Prosperity.

0:26:17.920 --> 0:26:20.040
<v Speaker 3>So far, we have pulled back the curtain on how

0:26:20.240 --> 0:26:24.560
<v Speaker 3>educated elites have created a social divide in democracies, how

0:26:24.600 --> 0:26:29.720
<v Speaker 3>widing economic inequality exacerbated that, and the role of technology

0:26:29.760 --> 0:26:32.160
<v Speaker 3>and how it can actually be a force of solidarity

0:26:32.359 --> 0:26:36.040
<v Speaker 3>and freedom. On tech, we wanted to go further on

0:26:36.080 --> 0:26:40.480
<v Speaker 3>what may be the ultimate disruptor of our lifetimes. Artificial intelligence,

0:26:40.840 --> 0:26:41.200
<v Speaker 3>there is.

0:26:41.160 --> 0:26:46.720
<v Speaker 5>No doubt in my mind. AI is a transformative technology.

0:26:46.840 --> 0:26:49.679
<v Speaker 5>You can already see it, and it's going to advance

0:26:49.720 --> 0:26:54.600
<v Speaker 5>even further. But if AI goes in the direction of

0:26:54.640 --> 0:26:59.840
<v Speaker 5>automating more and more jobs, displacing workers, making many occupations

0:27:00.000 --> 0:27:03.080
<v Speaker 5>obsolete and the people who used to perform them dispensable,

0:27:03.840 --> 0:27:08.359
<v Speaker 5>I think that's not consistent with either shared prosperity nor

0:27:08.680 --> 0:27:13.640
<v Speaker 5>with liberal democracy, because remember, liberal democracy requires us as

0:27:13.720 --> 0:27:17.560
<v Speaker 5>citizens participate and that's part of the Dignity of work

0:27:17.640 --> 0:27:21.960
<v Speaker 5>is part of that. Having the means, having the importance

0:27:22.040 --> 0:27:24.600
<v Speaker 5>in public life is part of that. If we create

0:27:24.640 --> 0:27:26.840
<v Speaker 5>a two tier society with a lot of people who

0:27:26.840 --> 0:27:30.080
<v Speaker 5>don't have a job or who are marginally employed, that's

0:27:30.119 --> 0:27:32.280
<v Speaker 5>going to be a big challenge. But here is the catch.

0:27:33.280 --> 0:27:37.600
<v Speaker 5>There is nothing in AI that says it should create

0:27:37.640 --> 0:27:42.960
<v Speaker 5>inequality or it should automate work. AI is the best

0:27:43.040 --> 0:27:48.640
<v Speaker 5>information technology ever invented. It can provide us very relevant

0:27:48.680 --> 0:27:51.920
<v Speaker 5>information for problem solving, for doing our jobs better, for

0:27:51.960 --> 0:27:54.840
<v Speaker 5>doing new things. And that's the idea that I call

0:27:55.000 --> 0:27:58.440
<v Speaker 5>pro worker AI. Developing AI in a way that's not

0:27:58.520 --> 0:28:02.280
<v Speaker 5>going to sideline workers, make workers more productive at what

0:28:02.359 --> 0:28:05.720
<v Speaker 5>they do more central to the production process, and that's

0:28:05.840 --> 0:28:10.200
<v Speaker 5>critically not just for educated workers. Imagine plumbers and electricians,

0:28:10.560 --> 0:28:14.160
<v Speaker 5>many of whom are doing critical work for us and

0:28:14.320 --> 0:28:17.680
<v Speaker 5>are underpaid, and we need more of them. Imagine them

0:28:17.720 --> 0:28:22.400
<v Speaker 5>becoming better and better both the training of these trades improved,

0:28:22.440 --> 0:28:26.440
<v Speaker 5>but more importantly, with better problem solving capabilities, with better

0:28:26.480 --> 0:28:29.280
<v Speaker 5>information in their hands, they can do many more things

0:28:29.320 --> 0:28:30.879
<v Speaker 5>and that's going to be so important if we can

0:28:30.960 --> 0:28:31.719
<v Speaker 5>go in that direction.

0:28:31.840 --> 0:28:34.159
<v Speaker 6>Are these massive firms that we talk about each and

0:28:34.160 --> 0:28:35.920
<v Speaker 6>every day developing pro work AI.

0:28:36.040 --> 0:28:38.360
<v Speaker 5>No, that's the problem. That's the problem. So if you

0:28:38.360 --> 0:28:40.240
<v Speaker 5>want to look at the how grass is, how full,

0:28:40.480 --> 0:28:43.240
<v Speaker 5>you're absolutely right, Tim that's not where we're going. But

0:28:44.240 --> 0:28:47.760
<v Speaker 5>I don't think we should lose hope because if we

0:28:48.160 --> 0:28:52.680
<v Speaker 5>suddenly had a change of heart among the young, amazing

0:28:52.760 --> 0:28:56.160
<v Speaker 5>talent that goes into the tech sector and said no,

0:28:56.320 --> 0:29:00.680
<v Speaker 5>rather than chase this dream of AGI artificial general intelligence,

0:29:00.760 --> 0:29:03.920
<v Speaker 5>artificial superintelligence, we want to do things that are helpful

0:29:04.000 --> 0:29:11.040
<v Speaker 5>for how people communicate. Our workers, including nurses, educators, plumbers, electricians,

0:29:11.080 --> 0:29:15.000
<v Speaker 5>really do their job. We'll get them. It's not actually

0:29:15.000 --> 0:29:18.160
<v Speaker 5>that hard to develop these technologies. It's much easier than

0:29:18.640 --> 0:29:22.720
<v Speaker 5>developing super intelligent physicists. But that's not where we're putting

0:29:22.720 --> 0:29:23.200
<v Speaker 5>our eggs.

0:29:24.000 --> 0:29:26.600
<v Speaker 3>Do we need the government to get us? I mean,

0:29:26.720 --> 0:29:29.360
<v Speaker 3>what's a company to say, I'm about making money. I'm

0:29:29.360 --> 0:29:34.120
<v Speaker 3>going to go that path, which is a capitalistic society.

0:29:34.440 --> 0:29:37.160
<v Speaker 3>If you become public, you want to reward your shareholders

0:29:37.360 --> 0:29:37.600
<v Speaker 3>like it.

0:29:38.320 --> 0:29:40.360
<v Speaker 5>I think the government has a role to play. Okay,

0:29:40.560 --> 0:29:43.520
<v Speaker 5>but let me make two other points Carol's. First of all,

0:29:43.560 --> 0:29:48.120
<v Speaker 5>I don't think that developing pro worker AI would be

0:29:48.160 --> 0:29:51.440
<v Speaker 5>a money losing proposition. If you're a company, if you

0:29:51.480 --> 0:29:56.560
<v Speaker 5>can make your workers more productive, that's also beneficial for you.

0:29:57.000 --> 0:30:00.280
<v Speaker 5>But it's only a mindset for a manager to saylabor

0:30:00.320 --> 0:30:02.080
<v Speaker 5>is a cost, I'm going to try to eliminate it.

0:30:02.200 --> 0:30:05.360
<v Speaker 5>Labor is also your asset, and also tech companies that

0:30:05.440 --> 0:30:08.360
<v Speaker 5>develop successful technologies of this sort, there will be markets

0:30:08.440 --> 0:30:10.760
<v Speaker 5>for it. Whether at the margin will be more or

0:30:10.800 --> 0:30:14.880
<v Speaker 5>less profitable than other things, you know, details will determine that.

0:30:14.960 --> 0:30:16.760
<v Speaker 5>But it's not going to be a money losing proposition

0:30:16.800 --> 0:30:19.760
<v Speaker 5>if it's really worthwhile to do right, But we need

0:30:19.760 --> 0:30:22.120
<v Speaker 5>to get there, and that's not where we are. The

0:30:22.160 --> 0:30:25.760
<v Speaker 5>government has an important role, so does democratic society. These

0:30:25.800 --> 0:30:28.440
<v Speaker 5>technologies are going to influence all of us, all of

0:30:28.440 --> 0:30:29.920
<v Speaker 5>our lives are going to be shaped by But by

0:30:29.960 --> 0:30:32.800
<v Speaker 5>the way, we are fortunate in the United States because

0:30:32.840 --> 0:30:35.080
<v Speaker 5>they are going to shape the lives of another six

0:30:35.120 --> 0:30:37.200
<v Speaker 5>billion people who don't live in the United States and

0:30:37.240 --> 0:30:40.000
<v Speaker 5>in China, but they have no say. We at least

0:30:40.040 --> 0:30:43.800
<v Speaker 5>have a say. We're still a democracy. Liberal democracies in crisis,

0:30:43.840 --> 0:30:47.160
<v Speaker 5>but we're still a democratic nation. So we can influence

0:30:47.200 --> 0:30:49.400
<v Speaker 5>those things, and it's just the right time to do it.

0:30:49.880 --> 0:30:52.479
<v Speaker 3>But you say the path ahead is not easy. Forging

0:30:52.600 --> 0:30:54.960
<v Speaker 3>working class liberalism is a tall order in the best

0:30:54.960 --> 0:30:57.840
<v Speaker 3>of times, and much more challenging in today's polarized environment

0:30:58.080 --> 0:31:00.920
<v Speaker 3>with little trust and institutions that it'll be. Still, we

0:31:01.000 --> 0:31:04.520
<v Speaker 3>have no alternative but to try. If liberalism does not

0:31:04.600 --> 0:31:10.840
<v Speaker 3>remake itself, it will be anti liberal, anti democratic alternatives

0:31:10.840 --> 0:31:17.520
<v Speaker 3>such as new oligarchies, authoritarianism, ethno nationalism, deep rooted hierarchy,

0:31:17.600 --> 0:31:21.280
<v Speaker 3>or renewed extreme progressive movements that will win out. So

0:31:21.320 --> 0:31:22.600
<v Speaker 3>the alternative is not great.

0:31:22.720 --> 0:31:25.120
<v Speaker 5>It's not great at all. But the way that I

0:31:25.160 --> 0:31:30.040
<v Speaker 5>see it is like I draw an analogy with the

0:31:30.160 --> 0:31:34.320
<v Speaker 5>Roman Empire. You can say the Roman Empire collapsed because

0:31:34.960 --> 0:31:38.240
<v Speaker 5>the barbarians were very strong, But I think that's the

0:31:38.280 --> 0:31:42.480
<v Speaker 5>wrong perspective. The Roman Empire collapsed because it had lots

0:31:42.520 --> 0:31:47.560
<v Speaker 5>of problems inside and that enabled the barbarians to exploit it.

0:31:47.560 --> 0:31:51.120
<v Speaker 5>It's the same with liberal democracy. We have problems inside

0:31:51.120 --> 0:31:53.800
<v Speaker 5>liberal democracy. We didn't live up to our promises we

0:31:53.840 --> 0:31:56.680
<v Speaker 5>are to our great potential, and that has made those

0:31:56.760 --> 0:32:01.320
<v Speaker 5>anti establishment ideas, some of them very ugly, something that

0:32:01.360 --> 0:32:05.120
<v Speaker 5>people turn to in reaction. So if liberalism remakes itself,

0:32:05.200 --> 0:32:07.480
<v Speaker 5>I think it still has a lot of momentum.

0:32:07.960 --> 0:32:10.080
<v Speaker 4>You have faith, I have faith, I have hope. Do

0:32:10.120 --> 0:32:11.760
<v Speaker 4>we have the right people to do it?

0:32:11.960 --> 0:32:16.200
<v Speaker 3>No, that's to be continued our thanks to Drone Asimoglu,

0:32:16.520 --> 0:32:19.640
<v Speaker 3>he is Economic Nobel Laureate Institute Professor in the Department

0:32:19.640 --> 0:32:23.040
<v Speaker 3>of Economics at MIT. We've been talking about his new book,

0:32:23.040 --> 0:32:28.240
<v Speaker 3>What Happened to Liberal Democracy? Remaking Up Politics of Shared Prosperity. Well,

0:32:28.240 --> 0:32:30.000
<v Speaker 3>as we get ready to wrap up and if a

0:32:30.120 --> 0:32:32.880
<v Speaker 3>deep dive talk on institutional gridlock has you reaching for

0:32:32.920 --> 0:32:36.760
<v Speaker 3>the top shelf, you are in good company. We are

0:32:36.920 --> 0:32:39.960
<v Speaker 3>taking a look at what's happening with the wine industry

0:32:40.000 --> 0:32:42.480
<v Speaker 3>with spirits, I mean, just take a look at climate change.

0:32:42.480 --> 0:32:43.960
<v Speaker 4>You've got Europe's heat waves.

0:32:44.000 --> 0:32:47.120
<v Speaker 3>They're putting crops at risk and creating more challenges for farmers.

0:32:47.320 --> 0:32:50.479
<v Speaker 3>For the wine industry, warmer summers are definitely hitting their calendar.

0:32:50.560 --> 0:32:52.800
<v Speaker 6>Yeah, one of the largest family on vineyards in Spain, Ramot,

0:32:53.120 --> 0:32:56.400
<v Speaker 6>began picking grapes earlier than ever. This is really interesting

0:32:56.400 --> 0:32:58.600
<v Speaker 6>in France, and this is coming from our Bloomberg News team.

0:32:58.960 --> 0:33:01.920
<v Speaker 6>The producer of some of the world's most expensive wines.

0:33:01.960 --> 0:33:04.280
<v Speaker 6>We're talking about the owner of Okay Am I going

0:33:04.320 --> 0:33:09.280
<v Speaker 6>to say, that's right, Libe that day. Okay has looked

0:33:09.280 --> 0:33:13.320
<v Speaker 6>at recovering great varieties from the Middle Ages to be

0:33:13.440 --> 0:33:14.920
<v Speaker 6>more resilient to global warming.

0:33:15.040 --> 0:33:17.000
<v Speaker 3>Well, this is what you call about adapting right and

0:33:17.040 --> 0:33:18.760
<v Speaker 3>figuring it out. And we've done.

0:33:18.640 --> 0:33:22.600
<v Speaker 4>That throughout, you know, hundreds of years.

0:33:22.840 --> 0:33:24.560
<v Speaker 6>Well, one person who helps brands figure out how to

0:33:24.560 --> 0:33:27.360
<v Speaker 6>reach customers is Jessica Cogan. She's founder and CEO of

0:33:27.560 --> 0:33:30.440
<v Speaker 6>HSP Brands. It's a marketing firm that works with beverage

0:33:30.480 --> 0:33:33.840
<v Speaker 6>and alcohol companies. They work with brands such as Tito's

0:33:33.920 --> 0:33:36.840
<v Speaker 6>New Belgium Brewing, Pernard, Racco, Diaggio and more. And she

0:33:36.920 --> 0:33:39.040
<v Speaker 6>joins us here in the Bloomberg Studios. Welcome.

0:33:39.120 --> 0:33:40.240
<v Speaker 1>Thank you guys for having me.

0:33:40.520 --> 0:33:42.640
<v Speaker 3>Tell us about your company and tell us who you're

0:33:42.680 --> 0:33:44.440
<v Speaker 3>talking with and like the trends. First of all, let's

0:33:44.440 --> 0:33:46.800
<v Speaker 3>talk about the business environment because when it comes to wine,

0:33:47.240 --> 0:33:49.240
<v Speaker 3>and I will say, we have a lot of folks

0:33:49.280 --> 0:33:52.600
<v Speaker 3>in the newsroom, a lot are younger that don't drink

0:33:52.600 --> 0:33:55.560
<v Speaker 3>alcohol anymore. So tell us about what you're seeing here.

0:33:55.640 --> 0:33:59.600
<v Speaker 1>Not true, not true, Well, it's just not true. But

0:33:59.640 --> 0:34:02.040
<v Speaker 1>first I just want to like broaden the lens here

0:34:02.040 --> 0:34:06.040
<v Speaker 1>because that's really important to understand that the industry is

0:34:06.760 --> 0:34:09.200
<v Speaker 1>in flux in the best possible way.

0:34:10.000 --> 0:34:11.479
<v Speaker 4>You talk a lot about business here.

0:34:12.200 --> 0:34:14.920
<v Speaker 1>Right now is the moment to be inside the industry

0:34:14.960 --> 0:34:15.960
<v Speaker 1>because there's disruption.

0:34:16.520 --> 0:34:17.800
<v Speaker 4>Disruption is huge.

0:34:18.000 --> 0:34:20.680
<v Speaker 1>I'm going to throw it back to somebody that you know,

0:34:21.560 --> 0:34:26.960
<v Speaker 1>we all know. It's totally different industry. Beauty nineteen forty

0:34:27.000 --> 0:34:30.000
<v Speaker 1>six agreed. There was a woman who went out there

0:34:30.280 --> 0:34:32.200
<v Speaker 1>stea water. How did you know?

0:34:32.400 --> 0:34:35.919
<v Speaker 3>Because iconic, iconic, And what did she do?

0:34:37.239 --> 0:34:37.759
<v Speaker 5>She gate?

0:34:38.120 --> 0:34:44.239
<v Speaker 1>She sampled, She got people tasting. That's the difference. Right now.

0:34:44.320 --> 0:34:47.840
<v Speaker 1>The way we need to think about adult beverage is sampling,

0:34:48.239 --> 0:34:52.840
<v Speaker 1>getting people out there tasting products. The industry as a

0:34:52.880 --> 0:34:57.839
<v Speaker 1>whole right now, those brands that lean into touching consumers,

0:34:58.320 --> 0:35:02.640
<v Speaker 1>having meaningful in per conversations, those are the brands that

0:35:02.680 --> 0:35:06.040
<v Speaker 1>are winning. Wine hasn't figured that out yet.

0:35:06.160 --> 0:35:08.000
<v Speaker 3>Even though they do, like you know, all the wine

0:35:08.000 --> 0:35:10.359
<v Speaker 3>stores in my neighborhood, you know, like you know, there's

0:35:10.360 --> 0:35:11.960
<v Speaker 3>a night where it's like you can come in and sample.

0:35:12.080 --> 0:35:13.799
<v Speaker 3>Is that what you're talking about or is it even

0:35:13.840 --> 0:35:14.759
<v Speaker 3>something more aggressive?

0:35:14.840 --> 0:35:18.880
<v Speaker 1>It's much more aggressive. It's actually national retail grocery. It

0:35:18.960 --> 0:35:22.600
<v Speaker 1>is retail, big box, it's retail across the board. Any

0:35:22.760 --> 0:35:27.040
<v Speaker 1>retailer that is selling adult beverage should be sampling in

0:35:27.120 --> 0:35:27.880
<v Speaker 1>their aisles.

0:35:28.160 --> 0:35:28.520
<v Speaker 3>Why.

0:35:29.000 --> 0:35:33.880
<v Speaker 1>It's an opportunity. It's your biggest audience, we say in

0:35:33.920 --> 0:35:37.719
<v Speaker 1>the industry, and you'll see on the CEO of Consolation

0:35:37.880 --> 0:35:40.560
<v Speaker 1>was talking about we need to get back to consumers.

0:35:40.560 --> 0:35:42.520
<v Speaker 1>We need to go to music festivals, We need to

0:35:42.520 --> 0:35:45.280
<v Speaker 1>get people at the beach. You need to get people

0:35:45.360 --> 0:35:49.239
<v Speaker 1>in the store. That's where they are and for them,

0:35:49.360 --> 0:35:52.600
<v Speaker 1>it is a moment, it is an experience, and that

0:35:52.800 --> 0:35:54.200
<v Speaker 1>is what adult beverage is about.

0:35:54.320 --> 0:35:56.680
<v Speaker 6>What about social media though, because you say you have

0:35:56.719 --> 0:35:59.319
<v Speaker 6>to go where the consumers are they're on Instagram. Yes,

0:35:59.440 --> 0:36:03.840
<v Speaker 6>the regulations and rules about alcohol and influencers.

0:36:03.400 --> 0:36:06.040
<v Speaker 1>Times, I mean, well not within When you're an influencer,

0:36:06.040 --> 0:36:08.520
<v Speaker 1>you're an independent on you can really do whatever you want.

0:36:08.600 --> 0:36:11.520
<v Speaker 1>But for example, like what we do is we actually

0:36:11.640 --> 0:36:15.360
<v Speaker 1>because we're independent, we are not supplier, we are not retailer.

0:36:15.640 --> 0:36:18.799
<v Speaker 1>We will put an invite out there to send consumers

0:36:18.840 --> 0:36:22.640
<v Speaker 1>to their local grocery store that's within five miles of

0:36:22.680 --> 0:36:25.800
<v Speaker 1>their store to come taste a wine that they wanted

0:36:25.840 --> 0:36:29.120
<v Speaker 1>to taste, a Malibu RTD that they want to taste,

0:36:29.239 --> 0:36:32.759
<v Speaker 1>a Cathamigos RTD they want to taste. You need to

0:36:33.000 --> 0:36:36.440
<v Speaker 1>use the locations that are available to you, where consumers

0:36:36.480 --> 0:36:40.120
<v Speaker 1>are at, where they're actively in the stores sampling.

0:36:40.560 --> 0:36:42.799
<v Speaker 3>So when you do something like that, is it store

0:36:42.800 --> 0:36:45.680
<v Speaker 3>by store basis or do you go to a retailer

0:36:45.680 --> 0:36:47.359
<v Speaker 3>and I'm just going to throw you know, whether it's

0:36:47.600 --> 0:36:51.000
<v Speaker 3>Whole Foods or like whatever, And do you make a

0:36:51.080 --> 0:36:53.640
<v Speaker 3>deal to do it across their stores or does it

0:36:53.680 --> 0:36:55.760
<v Speaker 3>have to be location specific where it makes sense?

0:36:56.120 --> 0:36:59.640
<v Speaker 1>I mean for us, we aren't on the distributor side

0:36:59.760 --> 0:37:02.279
<v Speaker 1>or the retailer side. We sit in the middle. And

0:37:02.320 --> 0:37:05.440
<v Speaker 1>so we'll partner with the retailer working with the supplier.

0:37:05.719 --> 0:37:09.120
<v Speaker 1>The supplier says to the retailer, thank you so much.

0:37:09.360 --> 0:37:12.640
<v Speaker 1>I'm doing this program. I want to support it. With sampling.

0:37:13.239 --> 0:37:15.040
<v Speaker 1>The thing is is that we.

0:37:15.040 --> 0:37:16.240
<v Speaker 3>Do with food all the time.

0:37:16.360 --> 0:37:18.680
<v Speaker 4>Like you think about a different food store, right, right.

0:37:18.600 --> 0:37:23.960
<v Speaker 1>I mean think about beauty fashion food. How do you

0:37:24.120 --> 0:37:26.400
<v Speaker 1>connect with a discretionary purchase?

0:37:27.200 --> 0:37:27.480
<v Speaker 4>Right?

0:37:27.560 --> 0:37:29.200
<v Speaker 3>I mean you have it at you know, I always

0:37:29.200 --> 0:37:30.879
<v Speaker 3>think about you're right with beauty, look at the four

0:37:30.960 --> 0:37:32.600
<v Speaker 3>the idea of you like you're playing with the stuff,

0:37:32.880 --> 0:37:34.919
<v Speaker 3>and that leads to purchases, right.

0:37:35.080 --> 0:37:37.279
<v Speaker 1>And So what I like to think of is when

0:37:37.280 --> 0:37:41.160
<v Speaker 1>we're sampling in a physical store in a retailer, consumers

0:37:41.200 --> 0:37:42.879
<v Speaker 1>are voting with their pocketbook.

0:37:43.040 --> 0:37:47.120
<v Speaker 3>That was Jessica Cogan, founder and CEO of HSP Brands.

0:37:47.480 --> 0:37:49.560
<v Speaker 3>And that wraps up the weekend edition of Bloomberg Business

0:37:49.600 --> 0:37:52.080
<v Speaker 3>Week from Bloomberg Radio. Thank you so much for joining us.

0:37:52.360 --> 0:37:55.440
<v Speaker 3>Be shorter tuned into Bloomberg Business Week daily Monday through Friday,

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<v Speaker 3>This week, we featured also a conversation with Lucas Shaw,

0:38:24.840 --> 0:38:28.520
<v Speaker 3>Bloomberg News Media and Entertainment Managing editor, on why Hollywood

0:38:28.560 --> 0:38:31.239
<v Speaker 3>box offices are rebounding. You can find that on our

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<v Speaker 3>podcast feed. Plus, the latest edition of the magazine is

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<v Speaker 3>available on newstands now. Find Bloomberg BusinessWeek also at Bloomberg

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<v Speaker 3>dot com and always on the Bloomberg terminal. I'm Carol

0:38:41.760 --> 0:38:44.440
<v Speaker 3>Masser Tim. We'll be back next week. Have a good

0:38:44.480 --> 0:38:47.040
<v Speaker 3>and safe weekend, everyone. Do stay with us. Today's top

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<v Speaker 3>stories and global business headlines are coming up right now.