WEBVTT - EVs and Climate Change and the Paparazzi Economy

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<v Speaker 1>You're listening to the Bloomberg Opinion podcast counts Saturdays at

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<v Speaker 1>one in seven pm Eastern on Bloomberg dot Com, the

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<v Speaker 1>iHeartRadio app, and the Bloomberg Business App, or listen on

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<v Speaker 1>demand wherever you get your podcasts.

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<v Speaker 2>Welcome to Bloomberg Opinion I Amy Morris. This week we

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<v Speaker 2>look at the population exodus from New York, what's luring

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<v Speaker 2>people away and what that means for the tax base.

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<v Speaker 2>We'll also dive into the latest health warning from the

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<v Speaker 2>Surgeon General. He says social media may be hazardous to

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<v Speaker 2>your child's health. And we'll get a behind the scenes

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<v Speaker 2>look at how paparazzi are falling victim to modern times.

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<v Speaker 2>But we begin with electric vehicles and the promise of

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<v Speaker 2>a cleaner planet. President Biden's administration last fall awarded nearly

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<v Speaker 2>three billion dollars in grants to build and expand domestic

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<v Speaker 2>manufacturing of batteries for electric vehicles in a dozen states.

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<v Speaker 3>The United States is making funding available on of the

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<v Speaker 3>Events Production Act to incentivize American and Canadian companies to

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<v Speaker 3>responsibly mine and process critical minerals needed for electric vehicles

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<v Speaker 3>and stationary storage batteries.

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<v Speaker 2>While EV's can play a role in reducing emissions. It

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<v Speaker 2>is just a start and not nearly enough on its own.

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<v Speaker 2>Joining us now is a Bloomberg Opinion editor Romish ratnas

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<v Speaker 2>are Romish slowing or maybe pausing climate change. Likely we'll

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<v Speaker 2>take more than just switching to electric vehicles, but it

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<v Speaker 2>would at a minimum anyway require widespread adoption of evs,

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<v Speaker 2>and that hasn't happened yet either. So talk us through this.

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<v Speaker 2>What has to happen for this to get any traction?

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<v Speaker 4>Yeah, I mean, I think the goal of electrifying transportation,

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<v Speaker 4>that is, getting people out of gas powered cars and

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<v Speaker 4>into electric vehicles, which are zero emission, carbon neutral vehicles,

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<v Speaker 4>you know, is a goal that is necessary to achieve

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<v Speaker 4>if the world is going to hit the climate targets

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<v Speaker 4>that we've set out for ourselves to you know, mitigate

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<v Speaker 4>the worst effects of climate change. And the question is

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<v Speaker 4>really how to go about doing that in a way

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<v Speaker 4>that's efficient, cost effective, and also also is actually going

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<v Speaker 4>to achieve the goals that we have set out, and

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<v Speaker 4>the way in which the US and and some other

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<v Speaker 4>countries are going about it is is not likely to

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<v Speaker 4>meet those targets if we continue on the course that

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<v Speaker 4>we are on. And there a variety of reasons for that,

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<v Speaker 4>But what we believe needs to be done is to

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<v Speaker 4>take a look at how these policies are working out,

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<v Speaker 4>how the policies aimed at promoting evs are working out,

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<v Speaker 4>and what more has to happen in order for them

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<v Speaker 4>to actually achieve what they are meant to achieve.

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<v Speaker 2>I want to get into that a little bit. One

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<v Speaker 2>of those policies. Is the government really juicing demand for

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<v Speaker 2>EV's thanks to subsidies? You know this, But how sustainable

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<v Speaker 2>is that? Those subsidies can't go on forever?

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<v Speaker 5>Yeah, I mean politically they are unlikely going forever.

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<v Speaker 4>We're already seeing, you know, significant backlash against them. If

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<v Speaker 4>you could imagine if the Republican Party gains control of

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<v Speaker 4>both Houses of Congress and the presidency, you know, a

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<v Speaker 4>lot of the subsidies that are in place today may

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<v Speaker 4>well be rolled back. Even if they're in place, they

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<v Speaker 4>are enormously expensive and they are not necessarily doing anything

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<v Speaker 4>to reduce carbon emissions. Because what we are seeing is

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<v Speaker 4>that by and large, people are buying evs, but they're

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<v Speaker 4>not necessarily replacing their existing vehicles with evs. Evs tend

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<v Speaker 4>to be a secondary car or a tertiarch or second

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<v Speaker 4>or third car. So people are buying evs and they're

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<v Speaker 4>driving them on the weekends, or they're still using their

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<v Speaker 4>gas powered cars for long trips and EV's maybe to

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<v Speaker 4>do short errands around town. In other words, you're not

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<v Speaker 4>removing dirty cars from the roads. You're just adding newer

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<v Speaker 4>evs on top of the existing fleet, and so the

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<v Speaker 4>net effect on the climate is not nearly what a

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<v Speaker 4>lot of advocates would hope.

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<v Speaker 2>You touched on something right there. I want to get

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<v Speaker 2>into a little bit, a bit of a curveball, if

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<v Speaker 2>you'll indulge me, that people often use the EV's as

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<v Speaker 2>their second car to run errands around town and use

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<v Speaker 2>the gas powered vehicle to do maybe a long trip.

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<v Speaker 2>Self have been in the market for a new car

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<v Speaker 2>and an EV just won't work because I do a

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<v Speaker 2>lot of interstate travel, and they don't have the infrastructure

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<v Speaker 2>that I'm looking for, and I don't know that they

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<v Speaker 2>can take me as far as I need to go

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<v Speaker 2>on a single tank or on a single charge. So

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<v Speaker 2>tell me how you would reassure me and convince me

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<v Speaker 2>to buy an EV as a primary vehicle if that

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<v Speaker 2>infrastructure isn't there.

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<v Speaker 4>Well, I think that's I think that's hard, and I

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<v Speaker 4>think that's why we're seeing the demand for EV's, while

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<v Speaker 4>it has certainly increased considerably over the last few years,

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<v Speaker 4>has not reached a point a threshold where you know,

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<v Speaker 4>you're seeing even kind of massive numbers of people in

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<v Speaker 4>the average car buyer saying I'm going to get rid

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<v Speaker 4>of of my fuel efficient vehicle that I'm driving now

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<v Speaker 4>and and traded in for an EV when, as you said,

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<v Speaker 4>the charging infrastructure hasn't been built out in a lot

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<v Speaker 4>of places.

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<v Speaker 5>It's hard to do long haul trips with evs, and.

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<v Speaker 4>So, you know, I think again the subsidies and the

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<v Speaker 4>tax credits, which are sort of the centerpiece of the

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<v Speaker 4>EV promotion policies that the government has been pushing, are

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<v Speaker 4>really only one piece of the puzzle. And in order

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<v Speaker 4>to sort of reach and hit the targets and have

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<v Speaker 4>the climate benefits that we are aiming for a lot

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<v Speaker 4>of other things have to be put in place, and

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<v Speaker 4>that's a big one. The charging infrastructure has to be

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<v Speaker 4>built out at a much bigger scale than what we've

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<v Speaker 4>seen so far. Of Course, you know, a lot of

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<v Speaker 4>the money and the Inflation Reduction Act and the infrastructure

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<v Speaker 4>bill passed by Congress aim to try to expand those

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<v Speaker 4>that infrastructure, but that's going to take time, and again,

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<v Speaker 4>all of these things have to go right for the

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<v Speaker 4>kind of goals that people who rightly want to do

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<v Speaker 4>something about climate change have in mind. I think the

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<v Speaker 4>point is that EV's on their own and just getting

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<v Speaker 4>more people to buy evs is not going to do

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<v Speaker 4>the trick.

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<v Speaker 5>A lot of other things have to happen as well.

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<v Speaker 2>So what else is going to have to happen, What

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<v Speaker 2>other X factors complicate that transition, and what else should

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<v Speaker 2>be done. One of my questions for you is is

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<v Speaker 2>gas just not expensive enough? Does that need to be taxed?

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<v Speaker 4>That's what a lot of economists have said for many

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<v Speaker 4>years that if you want to do this in an

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<v Speaker 4>efficient way, if you want to actually make a dent

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<v Speaker 4>and carbon emissions, you've got to put a tax on carbon.

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<v Speaker 4>You have to make it expensive to choose a kind

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<v Speaker 4>of gas guzzler over an EV And the only way

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<v Speaker 4>to do that is to is to.

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<v Speaker 5>Tax dirty fuels.

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<v Speaker 4>And so you know, if you were to do that,

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<v Speaker 4>then I think you would start to see people making

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<v Speaker 4>different choices, and you would see the market reacting in

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<v Speaker 4>a way that I think would over time create a

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<v Speaker 4>bigger market for for evs and currently exists. And you know,

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<v Speaker 4>this problem of people holding on to their their dirty

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<v Speaker 4>gas guzzlers longer than the otherwise would have because they

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<v Speaker 4>can't afford an EV and the automakers are no longer

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<v Speaker 4>incentivized to produce, uh, you know, cheaper fuel efficient cars.

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<v Speaker 4>I think that would go away if you had, you know,

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<v Speaker 4>some sort of carbon pricing scheme, you know, short of

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<v Speaker 4>that which you know, politically there are lots of obstacles

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<v Speaker 4>in front of a carbon tax. You know, there are

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<v Speaker 4>things that could be done, for instance, congestion pricing, which

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<v Speaker 4>is something that a lot of European cities have introduced,

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<v Speaker 4>but the US has been slow to adopt, in which

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<v Speaker 4>you just make it more expensive for folks to drive

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<v Speaker 4>into densely populated, dense urban areas. You know, that could

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<v Speaker 4>be something at a local level that could make a difference.

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<v Speaker 4>But ultimately, I think the point we're trying to drive

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<v Speaker 4>at is that there should be.

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<v Speaker 5>A mix of technologies. We shouldn't be putting all of

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<v Speaker 5>our chips.

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<v Speaker 4>On evs as the only solution of climate change and

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<v Speaker 4>policymakers need to think about ways in which we are

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<v Speaker 4>promoting low carbon options, but not necessarily a specific technology

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<v Speaker 4>that gets you to that low carbon outcome. And this

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<v Speaker 4>current system as it's set up, is putting all of

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<v Speaker 4>our emphasis on evs, and we think that's a risky bet.

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<v Speaker 2>Are they doing that because that's where the money is.

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<v Speaker 2>I mean, there's an actual hunger and a drive, no

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<v Speaker 2>pun intended for evs at this point. People are actually

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<v Speaker 2>wanting to buy them, even if they are as a

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<v Speaker 2>second car. Could that be why? Maybe it's low hanging fruit.

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<v Speaker 4>Yeah, I think there are a number of reasons. I mean,

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<v Speaker 4>I think the auto industry has seen it as an opportunity,

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<v Speaker 4>especially the US auto industry has seen it as an

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<v Speaker 4>opportunity to gain market share that they've lost to some

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<v Speaker 4>of the foreign competitors.

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<v Speaker 6>You know.

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<v Speaker 4>Again, I think evs are going to be a significant

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<v Speaker 4>part of the mix going forward. And I think the

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<v Speaker 4>goal should be for wider adoption of electric vehicles, and

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<v Speaker 4>I think the question is sort of, you know, how

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<v Speaker 4>to get there, how quickly we have to move? We

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<v Speaker 4>should be moving toward that goal, and whether they're in

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<v Speaker 4>the In the meantime, there are ways in which policymakers

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<v Speaker 4>and the government can continue to encourage and incentivize more

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<v Speaker 4>climate conscious choices, but not take the risk of betting

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<v Speaker 4>on evs which may or may not ultimately, you know,

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<v Speaker 4>achieve the goals that.

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<v Speaker 5>We want them to.

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<v Speaker 2>Bloomberg Opinion editor Romesh Retinas are and coming up, We're

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<v Speaker 2>going to take a look at the population exodus in

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<v Speaker 2>New York and what most of them have in common.

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<v Speaker 2>You are listening to Bloomberg Opinion.

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<v Speaker 1>You're listening to the Bloomberg Opinion podcast Contest Saturdays at

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<v Speaker 1>one in seven pm Eastern on Bloomberg dot Com, the

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<v Speaker 1>iHeartRadio app, and the Bloomberg Business App, or listen on

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<v Speaker 1>demand wherever you get your podcasts.

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<v Speaker 2>You're listening to Bloomberg Opinion. I'm Amy Morris. New York

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<v Speaker 2>has been losing people to other states for quite some time,

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<v Speaker 2>but something new happened during the pandemic. Those who had

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<v Speaker 2>left had higher incomes than those who stayed behind, a

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<v Speaker 2>lot higher. Let's welcome in Justin Fox, a Bloomberg Opinion

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<v Speaker 2>columnist covering business. He's going to set us straight on this. Justin.

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<v Speaker 2>Let's talk about this exodus of the wealthy what's luring

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<v Speaker 2>them away?

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<v Speaker 6>I mean during the pandemic, like in twenty twenty, it

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<v Speaker 6>wasn't so much what was luring the way is what

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<v Speaker 6>was going on in New York. New York City was

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<v Speaker 6>the epicenter of the pandemic, and the you know, for

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<v Speaker 6>good reason maybe maybe was overdone. But the sort of

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<v Speaker 6>reaction to it as the pandemic eased was things were

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<v Speaker 6>much stricter here in other places, and I think that

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<v Speaker 6>was initially the main thing people driving away, But also

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<v Speaker 6>the fact that all the big businesses in New York

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<v Speaker 6>went remote was like, Wow, I'm sick of living in

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<v Speaker 6>this tiny apartment with laundry in the basement. Maybe I

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<v Speaker 6>should go try somewhere else. And so there was a

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<v Speaker 6>lot that a lot of that going on, but a.

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<v Speaker 2>Lot happened pretty much all at once. What's the outcome

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<v Speaker 2>as New York continues to lose that population, Well, I.

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<v Speaker 6>Mean what you can see so the really detailed tax

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<v Speaker 6>data that says who left and what their incomes were

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<v Speaker 6>the most recent numbers we have for that date from

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<v Speaker 6>twenty twenty one. So it's still you know, that was

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<v Speaker 6>still when we were kind of in pandemic mode here

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<v Speaker 6>and looking at the census population estimate. Since then, there's

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<v Speaker 6>actually been this return of people to Manhattan, but continuing

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<v Speaker 6>loss in the outer borrows and the suburbs, which is

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<v Speaker 6>sort of an indication at least in Manhattan is the

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<v Speaker 6>most affluent of the five boroughs of New York City,

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<v Speaker 6>so the people coming back were probably getting some affluent

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<v Speaker 6>people coming back. But the thing I decided to look

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<v Speaker 6>at because I had actually written about what's happened with

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<v Speaker 6>federal income taxes a few weeks ago, and basically over

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<v Speaker 6>the course of the pandemic, when the stock markets were

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<v Speaker 6>going crazy and house prices were going crazy, so was

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<v Speaker 6>income tax revenue bringing in tons of it, because that's

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<v Speaker 6>just the way a progressive income tax system works, where

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<v Speaker 6>if people with very high incomes are having their incomes

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<v Speaker 6>jump up even more, which is what happens when you

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<v Speaker 6>have an asset price boom, then that brings in more

0:13:55.600 --> 0:13:58.880
<v Speaker 6>taxes than anybody really had penciled in. And so we

0:13:58.960 --> 0:14:04.160
<v Speaker 6>had these huge gains in income tax revenue nationally, but

0:14:04.280 --> 0:14:07.000
<v Speaker 6>even in New York, even though other statistics since then

0:14:07.040 --> 0:14:09.400
<v Speaker 6>I've shown that a lot of affluent people were leaving,

0:14:09.960 --> 0:14:12.120
<v Speaker 6>so many people made so much money that it didn't

0:14:12.160 --> 0:14:15.520
<v Speaker 6>make any difference. What's happened over the past year is

0:14:16.120 --> 0:14:19.040
<v Speaker 6>federal income tax revenue has dropped a bunch, but I

0:14:19.120 --> 0:14:21.520
<v Speaker 6>was looking at the New York state income tax revenue

0:14:21.520 --> 0:14:23.960
<v Speaker 6>and it has dropped a lot more. So it's sort

0:14:24.000 --> 0:14:27.040
<v Speaker 6>of like the tide has gone out now and you

0:14:27.080 --> 0:14:30.120
<v Speaker 6>can kind of see the real effect of who left

0:14:30.400 --> 0:14:33.360
<v Speaker 6>and what impact that's going to have on the state's

0:14:33.360 --> 0:14:34.920
<v Speaker 6>ability to pay for things.

0:14:35.200 --> 0:14:38.040
<v Speaker 2>So that then is why the loss of the affluent

0:14:38.080 --> 0:14:41.000
<v Speaker 2>taxpayer didn't really create problems during the height of the

0:14:41.040 --> 0:14:44.920
<v Speaker 2>pandemic per se. Correct, Are we still seeing that loss?

0:14:45.040 --> 0:14:47.880
<v Speaker 2>Is there still, if not a hemorrhage, a trickle of

0:14:47.920 --> 0:14:50.280
<v Speaker 2>a loss of that level of taxpayer.

0:14:51.280 --> 0:14:51.720
<v Speaker 5>I don't know.

0:14:51.960 --> 0:14:54.360
<v Speaker 6>I mean the one lie, I just don't know. This

0:14:54.400 --> 0:14:58.720
<v Speaker 6>could because we could just be mostly seeing a reflection

0:14:58.840 --> 0:14:59.960
<v Speaker 6>of what happened.

0:14:59.760 --> 0:15:01.120
<v Speaker 2>See but sort of lacking.

0:15:02.080 --> 0:15:05.480
<v Speaker 6>Yeah, But I mean there is this long standing lots

0:15:05.520 --> 0:15:08.080
<v Speaker 6>of people leave New York, and some of it is

0:15:08.120 --> 0:15:11.560
<v Speaker 6>this perfectly healthy thing where, especially with the city, people

0:15:11.640 --> 0:15:14.680
<v Speaker 6>come in when they're you know, either young professionals getting

0:15:14.720 --> 0:15:18.520
<v Speaker 6>some ipaying job or immigrants coming from overseas off and

0:15:18.960 --> 0:15:21.760
<v Speaker 6>cramming into some tiny apartment with a bunch of other people,

0:15:22.240 --> 0:15:26.040
<v Speaker 6>and they succeed and do better, and some decide they

0:15:26.040 --> 0:15:28.480
<v Speaker 6>want to stick around and some leave. And also you

0:15:28.600 --> 0:15:31.560
<v Speaker 6>have single people moving in and then moving out when

0:15:31.600 --> 0:15:35.920
<v Speaker 6>they have kids. So some level of that is not terrible,

0:15:35.960 --> 0:15:38.320
<v Speaker 6>and the city can sustain it. It's just sort of

0:15:38.320 --> 0:15:42.360
<v Speaker 6>this question of whether it's reached this less sustainable point.

0:15:42.360 --> 0:15:44.560
<v Speaker 6>And I think that right now, I don't know, Like

0:15:44.640 --> 0:15:47.560
<v Speaker 6>the New York City. I made the mistake of going

0:15:47.600 --> 0:15:50.760
<v Speaker 6>shopping in Soho and it's insane. There are so many people.

0:15:51.200 --> 0:15:54.240
<v Speaker 6>And the issue in New York is actually there's there's

0:15:54.320 --> 0:15:58.920
<v Speaker 6>just about as much activity of every sort except people

0:15:59.000 --> 0:16:01.200
<v Speaker 6>coming into the office, and there's less of that.

0:16:01.720 --> 0:16:04.680
<v Speaker 2>And we are talking with Justin Fox, a Bloomberg opinion columnist,

0:16:04.800 --> 0:16:09.320
<v Speaker 2>about the exodus of affluent tax payers from New York. Now, Justin,

0:16:09.480 --> 0:16:12.640
<v Speaker 2>in your column on the Bloomberg Terminal, you link this

0:16:12.800 --> 0:16:16.760
<v Speaker 2>exodus to the debt ceiling showdown on Capitol Hill. Help

0:16:16.840 --> 0:16:18.000
<v Speaker 2>us connect the dots there.

0:16:18.160 --> 0:16:21.920
<v Speaker 6>Well, just it's the fact that federal tax revenue fell

0:16:22.080 --> 0:16:25.680
<v Speaker 6>so quickly that kind of sped up the reckoning and

0:16:25.720 --> 0:16:27.840
<v Speaker 6>forced them to have to deal with this. Now, whereas

0:16:28.120 --> 0:16:30.400
<v Speaker 6>I think last year that people were predicting and it

0:16:30.400 --> 0:16:33.120
<v Speaker 6>wouldn't be till fall or so that they would run,

0:16:33.200 --> 0:16:36.480
<v Speaker 6>that they would run out of money, and federal income

0:16:36.520 --> 0:16:40.120
<v Speaker 6>tax revenue fell so fast that the moment where Janet

0:16:40.200 --> 0:16:43.560
<v Speaker 6>Yellen said she couldn't pay the bills moved up. And

0:16:43.600 --> 0:16:47.920
<v Speaker 6>I mean in New York New York State. I don't

0:16:47.960 --> 0:16:50.800
<v Speaker 6>know exactly what's going to happen now, but clearly the

0:16:50.840 --> 0:16:53.440
<v Speaker 6>revenue is coming in way below projected and at the

0:16:53.480 --> 0:16:57.280
<v Speaker 6>state level, income taxes are sort of what pays the bills.

0:16:57.640 --> 0:17:00.640
<v Speaker 6>For New York City, it's less of an issue taxes

0:17:00.680 --> 0:17:04.120
<v Speaker 6>only maybe a quarter of revenue or less. It's more

0:17:04.280 --> 0:17:07.439
<v Speaker 6>property taxes, which is a more slow moving thing and

0:17:07.480 --> 0:17:10.280
<v Speaker 6>at least so far vary issues with commercial real estate,

0:17:10.320 --> 0:17:13.480
<v Speaker 6>but residential real estate in New York City seems to

0:17:13.520 --> 0:17:14.880
<v Speaker 6>be as in demand as ever.

0:17:15.760 --> 0:17:19.800
<v Speaker 2>Are we seeing this on a smaller scale in different areas?

0:17:20.520 --> 0:17:23.160
<v Speaker 2>Are we able to even gauge that because New York

0:17:23.280 --> 0:17:25.440
<v Speaker 2>is such an enormous part of the economy.

0:17:26.000 --> 0:17:31.200
<v Speaker 6>There's a professor at Stanford Business School, Joshua Row, who's

0:17:31.240 --> 0:17:34.520
<v Speaker 6>been looking at what happens in California at a really

0:17:34.560 --> 0:17:37.520
<v Speaker 6>detailed level when there have been various things that have

0:17:37.560 --> 0:17:40.160
<v Speaker 6>happened over the past few years. There was a referendum

0:17:40.160 --> 0:17:43.200
<v Speaker 6>pass that raised taxes on people with very high incomes.

0:17:43.680 --> 0:17:48.119
<v Speaker 6>Then there was the twenty seventeen federal tax bill, which

0:17:49.400 --> 0:17:53.359
<v Speaker 6>actually lowered almost everybody's taxes, but people in California and

0:17:53.440 --> 0:17:55.679
<v Speaker 6>New York on average, who are making more than a

0:17:55.680 --> 0:18:00.199
<v Speaker 6>million dollars a year, it raised their federal taxes. That

0:18:00.320 --> 0:18:03.320
<v Speaker 6>created another incentive to leave, and then the pandemic created another.

0:18:03.400 --> 0:18:05.440
<v Speaker 6>And what he showed is, you know, it's not very

0:18:05.440 --> 0:18:09.640
<v Speaker 6>many people, but a much higher percentage of very very

0:18:09.720 --> 0:18:13.520
<v Speaker 6>high income people left right at those moments. So clearly

0:18:13.920 --> 0:18:18.320
<v Speaker 6>there are some issues with you know, taxes driving people

0:18:18.320 --> 0:18:21.240
<v Speaker 6>out as well and anything. When something happens like the

0:18:21.320 --> 0:18:24.280
<v Speaker 6>move to remote work, it just lowers one of the

0:18:24.320 --> 0:18:28.919
<v Speaker 6>barriers that's there. And that's got to be an issue

0:18:28.960 --> 0:18:31.159
<v Speaker 6>for New York too. I haven't seen that level of

0:18:31.640 --> 0:18:36.639
<v Speaker 6>really detailed research, and New York's income tax revenue, income

0:18:36.680 --> 0:18:40.080
<v Speaker 6>tax rates don't go up quite as high as California's

0:18:40.359 --> 0:18:43.480
<v Speaker 6>at the highest incomes. But yeah, that's one of the

0:18:43.520 --> 0:18:44.439
<v Speaker 6>things that's going on.

0:18:44.920 --> 0:18:47.040
<v Speaker 2>We're not talking about people then so much as we're

0:18:47.080 --> 0:18:50.480
<v Speaker 2>talking about money, number one. Yeah, and number two because

0:18:50.680 --> 0:18:55.720
<v Speaker 2>of the sort of residual hangover side effects of the pandemic,

0:18:56.000 --> 0:18:58.640
<v Speaker 2>like remote work. It sounds like this is not something

0:18:58.680 --> 0:19:01.360
<v Speaker 2>that's just going to resolve itself magically like getting over

0:19:01.400 --> 0:19:04.639
<v Speaker 2>the flu. This is maybe a different way of looking

0:19:04.640 --> 0:19:07.760
<v Speaker 2>at things, a different way of being able to manage

0:19:07.920 --> 0:19:11.760
<v Speaker 2>or check the tax revenue based on what census says

0:19:11.840 --> 0:19:15.639
<v Speaker 2>is happening. As far as the the exodus and and

0:19:15.680 --> 0:19:16.800
<v Speaker 2>people coming into the city.

0:19:17.720 --> 0:19:20.199
<v Speaker 6>Yeah, I mean, I think in New York is going

0:19:20.280 --> 0:19:23.520
<v Speaker 6>to have to be creative and at some level actually

0:19:23.560 --> 0:19:28.480
<v Speaker 6>recognized that having the highest taxes in the country. I mean,

0:19:28.480 --> 0:19:30.439
<v Speaker 6>maybe New York City can manage it because New York

0:19:30.480 --> 0:19:33.160
<v Speaker 6>City is unique and social, but for elsewhere in the state,

0:19:33.680 --> 0:19:37.280
<v Speaker 6>it's not maybe the best policy. I mean, New York

0:19:37.280 --> 0:19:39.560
<v Speaker 6>State has high level of services and that's good, but

0:19:39.600 --> 0:19:43.760
<v Speaker 6>they're not always delivered super efficiently. And yeah, I mean,

0:19:43.760 --> 0:19:46.199
<v Speaker 6>and it's not just New York. I think DC is

0:19:46.240 --> 0:19:50.280
<v Speaker 6>having some of these issues as well. And it's hard

0:19:50.320 --> 0:19:52.400
<v Speaker 6>to say because I think early in the pandemic there

0:19:52.480 --> 0:19:55.359
<v Speaker 6>was this, oh, the cities are over, everyone's going to leave,

0:19:55.960 --> 0:19:59.000
<v Speaker 6>and that's clearly not what's happening. But it's not like

0:19:59.040 --> 0:20:01.800
<v Speaker 6>they're roaring not like every bit of them is roaring back.

0:20:01.840 --> 0:20:05.560
<v Speaker 6>What seems to be happening is residential neighborhoods in most

0:20:05.600 --> 0:20:09.959
<v Speaker 6>big cities are doing pretty well, but commercial districts are

0:20:10.000 --> 0:20:10.720
<v Speaker 6>still struggling.

0:20:11.400 --> 0:20:14.840
<v Speaker 2>Justin Fox is a Bloomberg Opinion columnist covering business and

0:20:14.880 --> 0:20:18.440
<v Speaker 2>coming up on Bloomberg Opinion. The Surgeon General says social

0:20:18.520 --> 0:20:22.000
<v Speaker 2>media could be bad for your kid's health. Much more

0:20:22.000 --> 0:20:24.879
<v Speaker 2>on that, just ahead, and don't forget. We're available as

0:20:24.920 --> 0:20:29.199
<v Speaker 2>a podcast on Apple, Spotify or your favorite podcast platform.

0:20:29.560 --> 0:20:30.960
<v Speaker 2>This is Bloomberg Opinion.

0:20:40.280 --> 0:20:44.280
<v Speaker 1>You're listening to the Bloomberg Opinion podcast Countess Saturdays at

0:20:44.280 --> 0:20:47.399
<v Speaker 1>one and seven pm Eastern on Bloomberg dot Com, the

0:20:47.480 --> 0:20:50.600
<v Speaker 1>iHeartRadio app, and the Bloomberg Business App, or listen on

0:20:50.680 --> 0:20:52.760
<v Speaker 1>demand wherever you get your podcasts.

0:20:55.280 --> 0:20:59.040
<v Speaker 2>This is Bloomberg Opinion. I'm Amy Morris, the US Surgeon

0:20:59.160 --> 0:21:02.920
<v Speaker 2>General of the ve Murthy has issued a warning social

0:21:02.960 --> 0:21:05.040
<v Speaker 2>media could be bad for your kids.

0:21:05.280 --> 0:21:08.040
<v Speaker 7>My worry is that for many kids, not for all kids,

0:21:08.280 --> 0:21:12.199
<v Speaker 7>but for many kids, social media is chipping away at

0:21:12.200 --> 0:21:16.000
<v Speaker 7>their self esteem. It's taking time away from activities. That

0:21:16.040 --> 0:21:18.960
<v Speaker 7>are critical for help and development, like sleep, but also

0:21:19.040 --> 0:21:22.600
<v Speaker 7>in person interaction and physical activity. But it's also exposing

0:21:22.640 --> 0:21:24.080
<v Speaker 7>them to harmful content.

0:21:24.200 --> 0:21:28.520
<v Speaker 2>Surch in general Vivek Murphy social media advisory serving as

0:21:28.560 --> 0:21:31.800
<v Speaker 2>a roadmap for how to better understand the impact of

0:21:31.880 --> 0:21:37.560
<v Speaker 2>platforms like TikTok, Instagram, and Snapchat on developing brains of adolescents.

0:21:38.040 --> 0:21:41.320
<v Speaker 2>For more, let's talk with Bloomberg opinion columnist Lisa Jarvis,

0:21:41.320 --> 0:21:45.600
<v Speaker 2>who covers healthcare, biotech, and the pharmaceutical industry. I'm a

0:21:45.680 --> 0:21:49.280
<v Speaker 2>bit surprised this warning hasn't been issued before, if not

0:21:49.320 --> 0:21:52.520
<v Speaker 2>from the Surgeon General, from some healthcare professionals.

0:21:53.680 --> 0:21:56.320
<v Speaker 8>Well, you know, Amy, it actually was. I did a

0:21:56.320 --> 0:21:59.840
<v Speaker 8>column a few weeks ago in the American Psychological Association

0:22:00.040 --> 0:22:03.440
<v Speaker 8>put out their own social media advisory, and of course

0:22:03.480 --> 0:22:06.760
<v Speaker 8>Surgeon General Levec Murphy has said that he feels that

0:22:06.880 --> 0:22:09.760
<v Speaker 8>kids under the age of thirteen shouldn't be using social

0:22:09.800 --> 0:22:12.679
<v Speaker 8>media at all. But yeah, I think all of us

0:22:12.720 --> 0:22:16.200
<v Speaker 8>are like, duh, this was needed, and it were surprised

0:22:16.240 --> 0:22:19.800
<v Speaker 8>it didn't happen earlier. I think what they have done

0:22:19.800 --> 0:22:23.879
<v Speaker 8>here is really compile a list of recommendations and in

0:22:23.920 --> 0:22:27.040
<v Speaker 8>a way open questions that we want answered about social media,

0:22:27.119 --> 0:22:29.639
<v Speaker 8>and maybe that's what the hold up was, was just

0:22:29.680 --> 0:22:32.520
<v Speaker 8>defining what we do and don't know and need to know.

0:22:33.520 --> 0:22:35.879
<v Speaker 2>That's vast though what we don't know, is it not?

0:22:36.960 --> 0:22:39.840
<v Speaker 8>It's so vast, and I think that's really the concern, right,

0:22:40.000 --> 0:22:44.120
<v Speaker 8>is that there is a lot of conflicting information Where

0:22:44.160 --> 0:22:46.640
<v Speaker 8>we talk about social media in our harms for kids,

0:22:46.680 --> 0:22:49.520
<v Speaker 8>a lot of it we're talking about correlation.

0:22:49.160 --> 0:22:49.880
<v Speaker 9>Not causation.

0:22:50.160 --> 0:22:53.120
<v Speaker 8>There's I mean, in a way because it's so new,

0:22:53.200 --> 0:22:55.879
<v Speaker 8>we don't have enough out there and we don't have

0:22:56.000 --> 0:23:00.119
<v Speaker 8>enough data, and so I think a lot of what

0:23:00.200 --> 0:23:03.080
<v Speaker 8>this report is asking for is to set out a

0:23:03.119 --> 0:23:06.120
<v Speaker 8>research agenda to make sure that we understand how this

0:23:06.160 --> 0:23:09.639
<v Speaker 8>is affecting kids' brains, and to really ask companies to

0:23:09.680 --> 0:23:11.960
<v Speaker 8>participate in that in a way that they haven't been.

0:23:12.320 --> 0:23:15.760
<v Speaker 2>Now when the Surgeon General makes these sorts of suggestions

0:23:15.960 --> 0:23:20.480
<v Speaker 2>issues these warnings like part of this, he wants companies

0:23:20.520 --> 0:23:24.040
<v Speaker 2>to add some scientific advisory boards to learn more about

0:23:24.040 --> 0:23:27.800
<v Speaker 2>the impact of social media on kids' brains. How binding

0:23:28.000 --> 0:23:28.400
<v Speaker 2>is that.

0:23:29.520 --> 0:23:32.439
<v Speaker 8>You know, his recommendations aren't binding, but he does include

0:23:32.440 --> 0:23:35.960
<v Speaker 8>a list of recommendations to policy makers about how to

0:23:36.600 --> 0:23:39.560
<v Speaker 8>you know, essentially enforce some of that with the social

0:23:39.600 --> 0:23:42.240
<v Speaker 8>media companies. We'll see where we go. To me, that's

0:23:42.240 --> 0:23:46.040
<v Speaker 8>a better middle ground than saying we're going to ban TikTok,

0:23:46.160 --> 0:23:51.040
<v Speaker 8>which probably isn't going to happen, right, that's probably unconstitutional,

0:23:51.320 --> 0:23:53.719
<v Speaker 8>as some of my one of my colleagues has written.

0:23:54.400 --> 0:23:58.520
<v Speaker 8>So I think trying to put some very realistic and maybe,

0:23:59.160 --> 0:24:01.919
<v Speaker 8>you know, like I said, middle ground recommendations would be

0:24:01.920 --> 0:24:04.160
<v Speaker 8>a better way to try to get this information out

0:24:04.160 --> 0:24:04.440
<v Speaker 8>of them.

0:24:05.359 --> 0:24:07.439
<v Speaker 2>Remember when we were growing up and there was always

0:24:07.480 --> 0:24:11.880
<v Speaker 2>some uproar over a suggestive lyrics and a song, or

0:24:11.920 --> 0:24:15.800
<v Speaker 2>a racy scene in a movie, or violence on TV.

0:24:16.680 --> 0:24:18.760
<v Speaker 2>How is social media different?

0:24:19.840 --> 0:24:22.359
<v Speaker 8>No, that's such a good question. And I think about

0:24:22.359 --> 0:24:24.800
<v Speaker 8>that all the time, I said in my column, And

0:24:24.840 --> 0:24:27.760
<v Speaker 8>I feel this deeply, like am I having a tip

0:24:27.880 --> 0:24:30.919
<v Speaker 8>or gore moment, my going overboard a bright my worries

0:24:30.960 --> 0:24:35.920
<v Speaker 8>about this? You know, to me, it's different because it is.

0:24:36.520 --> 0:24:39.280
<v Speaker 8>It just permeates every part of our day. You know,

0:24:39.440 --> 0:24:42.639
<v Speaker 8>kids have their phones on. They're not supposed to necessarily

0:24:42.720 --> 0:24:45.600
<v Speaker 8>have them at school, but they do. They're spending many

0:24:45.680 --> 0:24:50.000
<v Speaker 8>hours a day interacting. It's changing how they communicate with

0:24:50.040 --> 0:24:53.200
<v Speaker 8>one another, and it's changing their social really their social

0:24:53.240 --> 0:24:56.480
<v Speaker 8>fabric and their connectivity. That's different than sort of passively

0:24:56.520 --> 0:24:58.920
<v Speaker 8>sitting in front of a TV and worrying like, oh,

0:24:58.960 --> 0:25:01.160
<v Speaker 8>they saw something violent, are they going to be violent now?

0:25:01.200 --> 0:25:03.080
<v Speaker 8>I think to me, that strikes me as a very

0:25:03.080 --> 0:25:04.040
<v Speaker 8>different situation.

0:25:04.760 --> 0:25:08.000
<v Speaker 2>We are talking with Bloomberg opinion columnist Lisa Jarvis about

0:25:08.000 --> 0:25:11.800
<v Speaker 2>the Surgeon General's health warning about social media and its impact,

0:25:12.000 --> 0:25:15.760
<v Speaker 2>especially on children and adolescents. Let's talk a little bit

0:25:15.800 --> 0:25:19.560
<v Speaker 2>about where these warnings and suggestions go from here. You

0:25:19.560 --> 0:25:22.439
<v Speaker 2>would mention that they're not necessarily binding, but if they

0:25:22.480 --> 0:25:26.440
<v Speaker 2>can get the attention of lawmakers, maybe they can make

0:25:26.480 --> 0:25:28.920
<v Speaker 2>some sort of rule or regulation that would be binding.

0:25:28.960 --> 0:25:31.840
<v Speaker 2>How what's the process and what sort of timeline are

0:25:31.840 --> 0:25:32.520
<v Speaker 2>we looking at?

0:25:32.960 --> 0:25:35.960
<v Speaker 8>Probably slower than most of us who are parents would like.

0:25:37.160 --> 0:25:39.080
<v Speaker 8>You know, I have an eleven year old who still

0:25:39.080 --> 0:25:41.520
<v Speaker 8>doesn't have a phone. I wish this had already happened.

0:25:41.880 --> 0:25:44.520
<v Speaker 8>I guess my hope is that maybe we circumvent some

0:25:44.600 --> 0:25:47.040
<v Speaker 8>of that and the companies decide they're going to participate.

0:25:47.440 --> 0:25:50.080
<v Speaker 8>You know, we know they're collecting data on how kids

0:25:50.200 --> 0:25:53.920
<v Speaker 8>use the apps. I spoke with a researcher who studies

0:25:53.960 --> 0:25:57.080
<v Speaker 8>social media and adolescence who's from the University of North

0:25:57.119 --> 0:26:00.760
<v Speaker 8>Carolina and you know their social media. These are hiring

0:26:00.800 --> 0:26:05.440
<v Speaker 8>people out of his lab to likely study this internally,

0:26:05.520 --> 0:26:08.560
<v Speaker 8>and so if they could be compelled without needing to

0:26:08.600 --> 0:26:11.040
<v Speaker 8>pass laws, to at least share some of that data,

0:26:11.080 --> 0:26:12.760
<v Speaker 8>maybe we don't have to go that route.

0:26:12.800 --> 0:26:13.480
<v Speaker 5>That's my hope.

0:26:13.560 --> 0:26:18.719
<v Speaker 8>Maybe that's probably over overly optimistic, but you know, it

0:26:18.760 --> 0:26:23.080
<v Speaker 8>does feel like the potential to pass laws that at

0:26:23.160 --> 0:26:26.480
<v Speaker 8>least would say, here are some guardrails on some of

0:26:26.520 --> 0:26:29.880
<v Speaker 8>the way a younger person uses an app, not allowing

0:26:29.920 --> 0:26:32.720
<v Speaker 8>them to infinitely scroll, not having things like the light

0:26:33.320 --> 0:26:36.320
<v Speaker 8>like button for someone who's under a certain age, because

0:26:36.359 --> 0:26:40.240
<v Speaker 8>we know that that kind of reward system affects their

0:26:40.280 --> 0:26:43.399
<v Speaker 8>brains differently than it does for adults. Those type of

0:26:43.440 --> 0:26:45.760
<v Speaker 8>guardrails seem like things that they could get on board

0:26:45.760 --> 0:26:48.680
<v Speaker 8>with and then they can transition that user into adulthood.

0:26:49.640 --> 0:26:53.560
<v Speaker 2>So then maybe the response, since it's not a legally

0:26:53.600 --> 0:26:57.720
<v Speaker 2>binding issue, that if companies run a foul of this,

0:26:58.000 --> 0:27:00.800
<v Speaker 2>or if it is, it becomes obvious that there are

0:27:00.880 --> 0:27:05.320
<v Speaker 2>issues maybe with a company and kids who are using

0:27:05.440 --> 0:27:08.119
<v Speaker 2>their product then maybe it would be more of a

0:27:08.280 --> 0:27:11.199
<v Speaker 2>social response, for lack of a better word, I was

0:27:11.200 --> 0:27:14.639
<v Speaker 2>trying not to say social, but maybe more more of

0:27:14.680 --> 0:27:17.080
<v Speaker 2>a community response to it, you know.

0:27:17.920 --> 0:27:20.040
<v Speaker 8>Yeah, I mean I think we as parents have to

0:27:20.160 --> 0:27:24.040
<v Speaker 8>demand that companies do more to adapt the design of

0:27:24.080 --> 0:27:27.600
<v Speaker 8>their products to be safer for kids, you know. And

0:27:28.560 --> 0:27:30.679
<v Speaker 8>you know, I would be more willing to let my

0:27:30.800 --> 0:27:33.000
<v Speaker 8>child have TikTok if I knew that it was a

0:27:33.000 --> 0:27:36.320
<v Speaker 8>safer environment for her to be scrolling, you know. So

0:27:36.840 --> 0:27:39.000
<v Speaker 8>I do think that there has to be push from

0:27:39.040 --> 0:27:43.240
<v Speaker 8>all sides. But you know, and I think the research

0:27:43.280 --> 0:27:45.480
<v Speaker 8>will help to because if we have clear evidence that

0:27:45.560 --> 0:27:48.359
<v Speaker 8>it's causing harm, which right now there's signs of that,

0:27:48.560 --> 0:27:51.119
<v Speaker 8>like scraps of data, but not you know, sort of

0:27:51.200 --> 0:27:53.879
<v Speaker 8>overwhelming data that says this causes harm, I think that

0:27:53.960 --> 0:27:56.840
<v Speaker 8>would push the policy side. If the companies don't do

0:27:56.880 --> 0:27:58.240
<v Speaker 8>it themselves.

0:27:57.840 --> 0:28:00.879
<v Speaker 2>What are we learning. What are researchers find about social

0:28:00.920 --> 0:28:04.600
<v Speaker 2>media companies, the experts they hire, the data they gather,

0:28:04.680 --> 0:28:05.840
<v Speaker 2>what are they figuring out from that?

0:28:06.760 --> 0:28:09.080
<v Speaker 8>Well, you know, they're not sharing it with us. But

0:28:09.119 --> 0:28:11.760
<v Speaker 8>I can say that this researcher at the University of

0:28:11.760 --> 0:28:15.080
<v Speaker 8>North Carolina, who I spoke to came out with a

0:28:15.119 --> 0:28:18.680
<v Speaker 8>study in January where he showed that twelve year olds

0:28:18.680 --> 0:28:24.040
<v Speaker 8>who habitually check social media have different distinct brain patterns

0:28:24.040 --> 0:28:26.520
<v Speaker 8>from twelve year olds who don't. Now that's not a

0:28:26.640 --> 0:28:28.840
<v Speaker 8>judgment good or bad. We don't know kind of what

0:28:28.880 --> 0:28:32.280
<v Speaker 8>that how that translates into who they become later, but

0:28:32.600 --> 0:28:35.360
<v Speaker 8>it does show us that something's happening at this very

0:28:35.480 --> 0:28:39.000
<v Speaker 8>vulnerable point of brain development. We also know there is

0:28:39.040 --> 0:28:41.920
<v Speaker 8>some certainly a lot of anecdotes and starting to be

0:28:42.080 --> 0:28:45.080
<v Speaker 8>some data around eating disorders and girls who are on

0:28:45.120 --> 0:28:48.840
<v Speaker 8>social media because the algorithm just keeps feeding them the

0:28:48.920 --> 0:28:52.080
<v Speaker 8>same messages, you know, and reinforcing those messages when they're

0:28:52.120 --> 0:28:55.520
<v Speaker 8>looking at it. And then I think the other area

0:28:55.680 --> 0:28:58.880
<v Speaker 8>is just kind of general mental health and suicidality. You know,

0:28:59.560 --> 0:29:02.320
<v Speaker 8>one of our colleagues and news had a very really

0:29:02.400 --> 0:29:06.080
<v Speaker 8>striking and scary report about the way that social media

0:29:06.120 --> 0:29:10.680
<v Speaker 8>can feed stories of suicide to kids who are already

0:29:10.720 --> 0:29:13.680
<v Speaker 8>experiencing some you know, mental health issues and.

0:29:14.040 --> 0:29:17.760
<v Speaker 2>The surge in general. Also called for more transparency from

0:29:17.800 --> 0:29:20.120
<v Speaker 2>those companies. What does he mean by that and how

0:29:20.120 --> 0:29:20.880
<v Speaker 2>did that resonate?

0:29:21.280 --> 0:29:24.840
<v Speaker 8>I think, you know, transparency about who their users are,

0:29:25.160 --> 0:29:29.480
<v Speaker 8>about what their data, what data they're collecting, because we

0:29:29.720 --> 0:29:32.400
<v Speaker 8>just don't know, you know, right now, what data they're collecting.

0:29:32.560 --> 0:29:36.760
<v Speaker 8>More transparency about you know, what are the experiments they're running,

0:29:37.040 --> 0:29:40.120
<v Speaker 8>because they probably are, about how to direct different users

0:29:40.120 --> 0:29:43.200
<v Speaker 8>in different directions. I think all of that is important,

0:29:44.360 --> 0:29:48.360
<v Speaker 8>important information as we think about, you know, what is

0:29:48.400 --> 0:29:50.800
<v Speaker 8>and is not appropriate for kids and social media.

0:29:51.480 --> 0:29:53.400
<v Speaker 2>So what happens now? What does this good?

0:29:54.800 --> 0:29:57.640
<v Speaker 8>I mean, I hope that, you know, I think that's

0:29:57.640 --> 0:30:00.280
<v Speaker 8>the that's the question, right. There's always this like, well,

0:30:00.320 --> 0:30:02.880
<v Speaker 8>this report came out, had a list of recommendations. I

0:30:02.920 --> 0:30:06.760
<v Speaker 8>think there needs to be pressure from all sides, you know, parents,

0:30:06.880 --> 0:30:09.719
<v Speaker 8>kids themselves. You know, I think kids themselves should be

0:30:10.040 --> 0:30:12.760
<v Speaker 8>especially kids who may have aged up and experienced social

0:30:12.840 --> 0:30:16.440
<v Speaker 8>media and now have hindsight to sort of ask questions

0:30:16.480 --> 0:30:20.040
<v Speaker 8>about whether that was good or bad. I think, you know,

0:30:20.120 --> 0:30:22.920
<v Speaker 8>policymakers should be looking at this and saying, Okay, maybe

0:30:22.920 --> 0:30:25.480
<v Speaker 8>this is a more appropriate roadmap than saying we're going

0:30:25.560 --> 0:30:27.640
<v Speaker 8>to try to ban TikTok in our state. You know,

0:30:28.760 --> 0:30:31.760
<v Speaker 8>I think we all just have to keep applying pressure.

0:30:31.880 --> 0:30:35.720
<v Speaker 2>Bloomberg Opinion columnist Lisa Jarvis covers healthcare, biotech, and the

0:30:35.760 --> 0:30:41.080
<v Speaker 2>pharmaceutical industry. Celebrity photographers papa razzi are a victim of

0:30:41.120 --> 0:30:43.480
<v Speaker 2>our modern times. And we've all heard about the car

0:30:43.640 --> 0:30:46.240
<v Speaker 2>chase through the streets of Manhattan, how Brinds, Harry and

0:30:46.280 --> 0:30:49.040
<v Speaker 2>Megan tried to get away from photographers one evening while

0:30:49.120 --> 0:30:52.280
<v Speaker 2>in New York City. But the incident isn't really as

0:30:52.400 --> 0:30:55.600
<v Speaker 2>much about history repeating itself as it is a harbinger

0:30:55.640 --> 0:30:59.880
<v Speaker 2>of how technology maybe changing the nature of our job,

0:31:00.200 --> 0:31:03.840
<v Speaker 2>all our jobs, even the paparazzi here to explain, as

0:31:03.840 --> 0:31:08.600
<v Speaker 2>Bloomberg opinion columnist covering economics, Alison Schrager, Alison, welcome back,

0:31:08.640 --> 0:31:12.000
<v Speaker 2>Thank you so much for joining us. How has technology

0:31:13.040 --> 0:31:17.000
<v Speaker 2>essentially destroyed the economics of celebrity pictures? And those are

0:31:17.040 --> 0:31:18.280
<v Speaker 2>your words, not mine.

0:31:18.800 --> 0:31:21.040
<v Speaker 9>Well, yeah, when this all happened, everyone thought back to

0:31:21.080 --> 0:31:25.560
<v Speaker 9>obviously the Princess Die tragedy, but mark for celebrity pictures

0:31:25.600 --> 0:31:28.640
<v Speaker 9>has really changed since then. So when I wrote my book,

0:31:28.720 --> 0:31:31.600
<v Speaker 9>I ended up spending a couple of weeks hanging out

0:31:31.600 --> 0:31:33.640
<v Speaker 9>with the New York paparazzi and going with them on

0:31:34.200 --> 0:31:37.560
<v Speaker 9>sort of stakouts. And so they were telling me that

0:31:37.800 --> 0:31:40.720
<v Speaker 9>pretty much around the Diana era pretty much until about

0:31:40.760 --> 0:31:42.720
<v Speaker 9>maybe two thousand and eight, which is what they call

0:31:42.840 --> 0:31:45.520
<v Speaker 9>the gold Rush era. That's actually their words, not mine.

0:31:45.920 --> 0:31:48.520
<v Speaker 9>You would get so much money for just even a

0:31:48.680 --> 0:31:51.240
<v Speaker 9>shot of a celebrity, you know, getting coffee. That was

0:31:51.280 --> 0:31:54.440
<v Speaker 9>like the just like US US weekly time, and that

0:31:54.520 --> 0:31:56.120
<v Speaker 9>was when you'd get this huge premium. And this is

0:31:56.120 --> 0:31:57.960
<v Speaker 9>when you also had all those car chases. You heard

0:31:57.960 --> 0:32:01.560
<v Speaker 9>about them all the time. But then you know, like

0:32:01.640 --> 0:32:04.200
<v Speaker 9>what happened in a lot of industries, there were two forces. One,

0:32:04.400 --> 0:32:07.600
<v Speaker 9>we had the Great Recession, so people stopped buying glossies,

0:32:08.000 --> 0:32:12.560
<v Speaker 9>and also online, like they just had way more websites

0:32:12.640 --> 0:32:16.320
<v Speaker 9>pushing celebrity pictures, and these websites just needed a higher

0:32:16.360 --> 0:32:18.520
<v Speaker 9>volume of pictures, which you think would be good for

0:32:18.640 --> 0:32:21.800
<v Speaker 9>the photographers, but it wasn't because they don't sell directly

0:32:21.880 --> 0:32:25.320
<v Speaker 9>to the media websites. They have these intermediaries. They're photo

0:32:25.360 --> 0:32:28.760
<v Speaker 9>agents who and they sell to the they are the

0:32:28.760 --> 0:32:31.400
<v Speaker 9>ones of their relationships and sell to the magazines. So

0:32:31.880 --> 0:32:35.600
<v Speaker 9>that industry, that middle tier consolidated into just a few players,

0:32:35.640 --> 0:32:38.600
<v Speaker 9>so they had a lot more market power over the paparazzi.

0:32:38.760 --> 0:32:41.760
<v Speaker 9>In the meantime, they're the buyers of the pictures, wanted

0:32:41.760 --> 0:32:45.160
<v Speaker 9>a higher volume, so they switched to a subscription model

0:32:45.560 --> 0:32:49.120
<v Speaker 9>rather than paying per photo, which meant that the poparazzi

0:32:49.360 --> 0:32:52.760
<v Speaker 9>now just get a fraction of the money from the subscription.

0:32:53.360 --> 0:32:56.360
<v Speaker 9>And I was curious how they managed their risk, And

0:32:57.160 --> 0:32:59.920
<v Speaker 9>one of their primary way is that they formed teams

0:33:00.480 --> 0:33:03.240
<v Speaker 9>and where they share tips and they sort of stay

0:33:03.280 --> 0:33:06.000
<v Speaker 9>out celebrities together to ensure they get the shot, and

0:33:06.040 --> 0:33:08.680
<v Speaker 9>then they share the money. Well, of course, getting an

0:33:08.720 --> 0:33:11.880
<v Speaker 9>exclusive is a very has a very high premium, so

0:33:11.960 --> 0:33:15.000
<v Speaker 9>there's always an incentive to cheat on your alliance. So

0:33:15.080 --> 0:33:17.760
<v Speaker 9>they like have all this bad blood. So it's a

0:33:17.880 --> 0:33:21.760
<v Speaker 9>very sort of contentious sort of environment because they all

0:33:21.800 --> 0:33:24.200
<v Speaker 9>have these like long histories of cheating on each other.

0:33:24.840 --> 0:33:27.560
<v Speaker 9>And I think what people don't get is, particularly when

0:33:27.600 --> 0:33:30.960
<v Speaker 9>celebrities are climbing that their food chain, you're getting famous,

0:33:31.000 --> 0:33:34.800
<v Speaker 9>getting attention is really important. Often they tip off these photographers,

0:33:34.840 --> 0:33:37.520
<v Speaker 9>particularly when they're young and up and coming. These guys

0:33:37.520 --> 0:33:40.680
<v Speaker 9>are poor immigrants barely making not even making minimum wage,

0:33:41.280 --> 0:33:45.560
<v Speaker 9>largely make these celebrities and then somehow get vilified in

0:33:45.600 --> 0:33:46.320
<v Speaker 9>the whole process.

0:33:46.880 --> 0:33:49.120
<v Speaker 2>So then where does it go from here? We were

0:33:49.160 --> 0:33:52.960
<v Speaker 2>talking earlier about how the automation process and the consolidation

0:33:53.080 --> 0:33:58.040
<v Speaker 2>of that middle tier has really cramped their style, so

0:33:58.080 --> 0:34:00.640
<v Speaker 2>to speak, and cramp their industry. What happens now, are

0:34:00.640 --> 0:34:02.560
<v Speaker 2>we going to see them go extinct?

0:34:03.040 --> 0:34:05.120
<v Speaker 9>So what I found interesting is they said I talked

0:34:05.120 --> 0:34:07.600
<v Speaker 9>about the risk they managed by forming alliances. That is

0:34:07.640 --> 0:34:12.439
<v Speaker 9>obviously like kind of like diversification, but like systematic risk

0:34:12.560 --> 0:34:15.520
<v Speaker 9>in any industry, the only way get so much harder

0:34:15.560 --> 0:34:17.440
<v Speaker 9>risk to marinage, and that's what they're facing. So a

0:34:17.440 --> 0:34:19.800
<v Speaker 9>lot of them are actually having to leave the industry altogether.

0:34:20.360 --> 0:34:22.920
<v Speaker 9>You always have new upstarts because it's fun, and you know,

0:34:22.960 --> 0:34:25.680
<v Speaker 9>there are these random, big paydays where you do get

0:34:25.680 --> 0:34:28.120
<v Speaker 9>a good shot, but there's certainly a fewer of them.

0:34:28.239 --> 0:34:32.799
<v Speaker 9>And that's why this car chase was so unusual. For

0:34:33.040 --> 0:34:35.880
<v Speaker 9>you know, a picture of a celebrity back then you

0:34:35.920 --> 0:34:38.479
<v Speaker 9>could maybe get ten twenty thousand dollars. Now you'll maybe

0:34:38.480 --> 0:34:41.200
<v Speaker 9>get five. So I think there's just going to be

0:34:41.239 --> 0:34:44.760
<v Speaker 9>fewer otherm We're probably going to just see more celebrity

0:34:44.800 --> 0:34:47.360
<v Speaker 9>photos be more curated the way they want, like you know,

0:34:47.440 --> 0:34:52.080
<v Speaker 9>released on Instagram, and it'll probably just be less interesting,

0:34:52.760 --> 0:34:53.200
<v Speaker 9>all right.

0:34:53.120 --> 0:34:56.759
<v Speaker 2>Thank you, Alison. Bloomberg Opinion columnist Alison Trigger and that

0:34:56.840 --> 0:34:59.560
<v Speaker 2>does it for this week's Bloomberg Opinion. We are produced

0:34:59.560 --> 0:35:02.200
<v Speaker 2>by Eric and you can find all of these columns

0:35:02.200 --> 0:35:05.160
<v Speaker 2>on the Bloomberg Terminal. We're also available as a podcast

0:35:05.200 --> 0:35:09.080
<v Speaker 2>on Apple, Spotify or your favorite podcast platform. Now, stay

0:35:09.120 --> 0:35:11.960
<v Speaker 2>with us. Today's top stories and global business headlines are

0:35:12.000 --> 0:35:15.040
<v Speaker 2>coming up. I'm Amy Morris. This is Bloomberg