WEBVTT - Bloomberg Wall Street Week - December 20th, 2024

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<v Speaker 1>This is Wall Street Week.

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<v Speaker 2>I'm David Weston bringing you stories of capitalism. This week,

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<v Speaker 2>the price of regulating competition around the world. We spoke

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<v Speaker 2>with former EU Commissioner Margareta Vesteier on her very last

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<v Speaker 2>day and the job, about what she has meant for

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<v Speaker 2>Europe's tech industry and a growing threat for the data

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<v Speaker 2>at the center of our economy. How US statistical agencies

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<v Speaker 2>are grappling with shrinking budgets even before cuts to the

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<v Speaker 2>overall federal budget. But we begin with a story about

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<v Speaker 2>one hundred and five trillion dollars. That is the size

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<v Speaker 2>of the gross domestic product of the entire world, and

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<v Speaker 2>also the amount of money researchers tell us Americans will

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<v Speaker 2>inherit over the next twenty five five years. If that

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<v Speaker 2>seems large, that's because it is.

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<v Speaker 3>It's definitely the biggest number we've ever seen. We've been

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<v Speaker 3>looking at this research for over a decade now.

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<v Speaker 2>Chase Horton is a senior analyst that Cerooly Associates, and

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<v Speaker 2>he's the lead author of a new report quantifying how

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<v Speaker 2>much wealth in the US will be given out or

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<v Speaker 2>passed on over the next two and a half decades.

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<v Speaker 2>It's a big jump from the numbers to really found

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<v Speaker 2>a few years ago, and he thinks he knows why.

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<v Speaker 3>It's really a confluence of three trends. Over the past

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<v Speaker 3>dozen or so years, we've seen a substantial amount of

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<v Speaker 3>wealth creation, So privately held wealth by households in the

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<v Speaker 3>United States has increased essentially one hundred percent since we

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<v Speaker 3>were looked at this in twenty eleven, and that's on

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<v Speaker 3>an inflation adjusted basis. In addition, we also have seen

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<v Speaker 3>wealth become increasingly concentrated among fewer wealthier households, and those

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<v Speaker 3>wealthier households are more likely to be survived by their assets,

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<v Speaker 3>so they're not going to be spending those assets down

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<v Speaker 3>like the rest of us. And we've also seen wealth

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<v Speaker 3>concentration among older households, so more wealth is held today

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<v Speaker 3>by households that are over the age of sixty than

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<v Speaker 3>we've seen in a long time. And it's also the

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<v Speaker 3>highest portion. If you look at the ratio of expected

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<v Speaker 3>to wealth transfer in the next twenty five years as

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<v Speaker 3>a ratio of overall wealth held today, we see about

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<v Speaker 3>eighty percent of the wealth held today going to be

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<v Speaker 3>in motion over the course of the next twenty five years.

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<v Speaker 3>And when we first looked at this about a decade ago,

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<v Speaker 3>that ratio is closer to fifty percent of assets in motion.

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<v Speaker 3>So the ratio of wealth expected to be changing hands

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<v Speaker 3>in the next twenty five years is significant and much

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<v Speaker 3>greater than what we even saw a decade ago.

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<v Speaker 2>More money getting passed down over a relatively short time,

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<v Speaker 2>and for the one in five who receive any inheritance

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<v Speaker 2>at all, the share of their net worth coming from

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<v Speaker 2>that inheritance rather than their earned income is on the rise.

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<v Speaker 2>A new Bloomberg analysis shows today your financial status has

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<v Speaker 2>more to do with who your parents are than at

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<v Speaker 2>any time in recent history. That inherited money now accounts

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<v Speaker 2>for at least a quarter of the wealth for the

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<v Speaker 2>average inheritor, but many economists think that figure is much higher,

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<v Speaker 2>including former Treasury Secretary than Wall Street Week contributor Larry Summers.

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<v Speaker 4>If you account what happens when somebody gets an inheritance

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<v Speaker 4>and then they invest it, and that builds up more wealth,

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<v Speaker 4>that probably the vast majority is certainly a majority of

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<v Speaker 4>the wealth in our economy is related to inheritance, and

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<v Speaker 4>that's of course a complicated thing. On the one hand,

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<v Speaker 4>family values are good, on the other hand, it's not

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<v Speaker 4>like it's equally distributed. It's not like it's even as

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<v Speaker 4>unequally distributed as income. It's not even like it's as

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<v Speaker 4>unequally distributed as the rest of wealth. It's really very

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<v Speaker 4>much a phenomenon about a very small action of the population.

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<v Speaker 2>Given how much wealth is being transferred, one might think

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<v Speaker 2>we may see a wider distribution of that wealth as well,

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<v Speaker 2>but don't count on it.

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<v Speaker 3>We constantly get asked, will this be redistributive in terms

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<v Speaker 3>of wealth in the United States, And from what we've

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<v Speaker 3>seen in the numbers is we don't really think that

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<v Speaker 3>that's an expectation that people should have. You know, we

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<v Speaker 3>see a significant amount of the wealth, over fifty percent

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<v Speaker 3>is held by high net worth households, so those that

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<v Speaker 3>are ten million or more in net worth, and that

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<v Speaker 3>makes up around two percent of the population, and we

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<v Speaker 3>expect a lot of that wealth to go to the

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<v Speaker 3>top two percent of inheritors. So we don't really see

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<v Speaker 3>any sort of reason or thing to make us believe

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<v Speaker 3>that this is going to be, you know, widely distributed

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<v Speaker 3>beneficially for all Americans.

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<v Speaker 2>All that concentrated wealth being passed down echoes what the

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<v Speaker 2>United States saw back in the Gilded Age of the

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<v Speaker 2>late nineteenth century, which led President Teddy Roosevelt to call

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<v Speaker 2>for a graduated inheritance tax on big fortunes properly safeguarded

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<v Speaker 2>against evasion. And Andrew Carnegie, who became the richest man

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<v Speaker 2>in the world in nineteen oh one when he sold

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<v Speaker 2>his steel company to John D. Rockefeller, agreed saying, of

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<v Speaker 2>all forms of taxation, this seems the wisest. In nineteen sixteen,

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<v Speaker 2>Congress enacted the federal estate tax that's been with us

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<v Speaker 2>in some form or another ever since. But today that

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<v Speaker 2>tax doesn't apply to the vast majority of the one

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<v Speaker 2>hundred and five trillion dollars passing hands.

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<v Speaker 4>I think there's a lot of good that's come in

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<v Speaker 4>this country out of family businesses, family farms, of family assets.

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<v Speaker 4>I do think the extent to which this avoids taxation,

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<v Speaker 4>even among the very wealthiest people is something that is

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<v Speaker 4>very bizarre. Your study estimated that there'll be about two

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<v Speaker 4>and a half trillion dollars of wealth passing this year.

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<v Speaker 4>The collections on the inheritance tax are only going to

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<v Speaker 4>be about one percent of that two and a half

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<v Speaker 4>trillion dollars. Of course, relatively limited inheritances shouldn't get taxed.

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<v Speaker 4>Of course, you have to treat family farms in appropriate ways.

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<v Speaker 4>But two and a half trillion dollars passing and the

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<v Speaker 4>vast majority of that being among five percent or one

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<v Speaker 4>percent of the people who die, and only collecting one

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<v Speaker 4>percent of it in taxes. I do think we can

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<v Speaker 4>do better.

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<v Speaker 2>There is little reason to expect that the inheritors will

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<v Speaker 2>pay any more in taxes under the next Trump administration.

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<v Speaker 2>In his first term, mister Trump worked with Congress to

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<v Speaker 2>cut the number of people subject to the tax to

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<v Speaker 2>near historic lows, and in campaigning for a second term,

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<v Speaker 2>advocated eliminating it altogether. But there is one way the

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<v Speaker 2>great wealth Transfer will reduce inequality. Women are set to

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<v Speaker 2>inherit more money than ever before.

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<v Speaker 5>Enormous amounts of this are going to women, because first,

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<v Speaker 5>you have to think that men and women have different

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<v Speaker 5>life expectancies, So first the money goes to the wife.

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<v Speaker 2>Emily Green is head of wealth management at Elevest, a

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<v Speaker 2>financial firm that focuses on working with women. Wealth advisors, brokers,

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<v Speaker 2>real estate agents and others could be well positioned for

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<v Speaker 2>a windfall as the wealth transfer accelerates in the next

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<v Speaker 2>few years, and Green says she and her team have

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<v Speaker 2>seen firsthand the shift from men to women and this.

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<v Speaker 5>Next generation millennials and such, there's a lot more single

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<v Speaker 5>women there have been in prior generation, So there's a

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<v Speaker 5>lot more women controlling the wealth as this inheritance comes

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<v Speaker 5>down than there was previously. It's really going to change

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<v Speaker 5>the way that we invest, spend, give all these different

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<v Speaker 5>types of things because women are going to get this

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<v Speaker 5>huge amount of money.

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<v Speaker 2>How far along are we in the process of this

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<v Speaker 2>wealth transfer.

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<v Speaker 5>We're still really early. We're still really early.

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<v Speaker 2>Until now, women have gotten a smaller share of inherited

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<v Speaker 2>wealth than men, but Soorooly estimates that over the next

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<v Speaker 2>quarter century, gen Z women will become the first to

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<v Speaker 2>receive at least half of the country's inheritance, and that

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<v Speaker 2>Green says, has major implications for the way that money

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<v Speaker 2>will be spent and invested in the future.

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<v Speaker 5>And you have seen women tend to hire, women tend

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<v Speaker 5>to give philanthropically, women tend to invest more in other women.

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<v Speaker 5>They can give more politically, they can look to make

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<v Speaker 5>sure that the people in office are reflecting them. You

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<v Speaker 5>think about businesses and so the more women can start

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<v Speaker 5>their own businesses and do these things, that changes society

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<v Speaker 5>as well. If you look at women business owner numbers,

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<v Speaker 5>they're great entrepreneurs. Women have the money to create businesses.

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<v Speaker 5>They can create businesses that serve them. So even think

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<v Speaker 5>about healthcare healthcare. For a long time, drugs were only

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<v Speaker 5>tested on men, and so when we think about healthcare,

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<v Speaker 5>if women can create healthcare companies that are focusing on

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<v Speaker 5>fifty percent of the population as well, you are changing things.

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<v Speaker 5>There's a lot of opportunity within these spaces because there's

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<v Speaker 5>a lot of companies that just aren't focusing on women

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<v Speaker 5>and how they're actually thinking about this.

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<v Speaker 2>An economy that's better suited to fulfill the needs of

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<v Speaker 2>the whole population rather than just fifty percent of it

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<v Speaker 2>is certainly an improvement. But what about the eighty percent

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<v Speaker 2>of Americans who don't stand to inherit anything? Will rising

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<v Speaker 2>inequality way on economic dynamism?

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<v Speaker 1>How much does it matter?

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<v Speaker 2>Big questions and easy enough to ask, But when it

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<v Speaker 2>comes to answering them, what's best for the US economy

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<v Speaker 2>might not be what's best for your family, and one

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<v Speaker 2>of those will always come first. Just to push it

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<v Speaker 2>and get a little personal here. You wrote a paper

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<v Speaker 2>in nineteen eighty one. I think you were still a

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<v Speaker 2>PhD candidate at the time. Now you've had a very

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<v Speaker 2>successful career, I hope done reasonably well, have a fan,

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<v Speaker 2>have a granddaughter.

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<v Speaker 6>Have your views.

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<v Speaker 2>Changed on the intergenerational transfer wealth sort of that late

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<v Speaker 2>in your career as opposed at the very beginning.

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<v Speaker 4>I think at the very beginning, I didn't really think

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<v Speaker 4>of it as a personal issue at all. I thought

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<v Speaker 4>about it as just part of understanding the savings process

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<v Speaker 4>in the economy. Now I think about wanting to help

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<v Speaker 4>my children now that I have a grandchild, help my grandchild,

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<v Speaker 4>but certainly not to the point where they're not living

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<v Speaker 4>their own lives professionally and doing their own work. Is

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<v Speaker 4>the philosophy that I have. I take advantage of the

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<v Speaker 4>law as it is written, and I find it troubling

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<v Speaker 4>that the law affords me as many opportunities to avoid

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<v Speaker 4>paying taxes in completely legal ways.

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<v Speaker 7>As it does.

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<v Speaker 4>And I think there are all kinds of changes in

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<v Speaker 4>the estate tax law that would make that law function

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<v Speaker 4>in a fairer and more equitable way.

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<v Speaker 2>Those changes are unlikely to come soon, if at all,

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<v Speaker 2>and until they do, the economy may grow more dynastic,

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<v Speaker 2>forcing us to come to grips with how much of

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<v Speaker 2>our wealth is truly ours and how much we owe

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<v Speaker 2>to future generations coming up. As Europe struggles to get

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<v Speaker 2>its tech sector on the map, we examine the role

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<v Speaker 2>that competition policy may play and the trade offs between

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<v Speaker 2>taking the lead in regulation and spurring innovation. That's next

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<v Speaker 2>on Wall Street Week.

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<v Speaker 6>You're listening to Bloomberg Wall Street Week with David Weston

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<v Speaker 6>from Bloomberg Radio. This is Bloomberg Wall Street Week with

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<v Speaker 6>David Weston from Bloomberg Radio.

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<v Speaker 2>This is a story about trade offs, in particular the

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<v Speaker 2>tradeoff between making sure firms don't dominate an industry and

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<v Speaker 2>making sure that those same firms have the incentives to

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<v Speaker 2>innovate and grow so that they can drive the economy.

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<v Speaker 2>It's a tradeoff being made differently in the US and

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<v Speaker 2>Europe when it comes to the tech sector. Bloomberg's Max

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<v Speaker 2>Ramsey tells us about the EU's self assigned role as

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<v Speaker 2>the world's regulator in chief.

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<v Speaker 8>The European economy is facing a slow agony as it

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<v Speaker 8>struggles to compete with the US and China. So said

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<v Speaker 8>none other than former ECB President Mario Draghi in September,

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<v Speaker 8>pointing to sluggish growth and productivity.

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<v Speaker 9>Growth has been slowly down for a long time in Europe,

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<v Speaker 9>but we've ignored it. We until I would say, until

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<v Speaker 9>two years ago, we would never have such a conversation

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<v Speaker 9>as the one we're having today because things were sort

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<v Speaker 9>of going well. And now we cannot ignore it any longer.

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<v Speaker 9>Now conditions have changed. Europe is nowadays stuck in a

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<v Speaker 9>static industrial structure populated by meat technology companies which are

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<v Speaker 9>already mature. The problem is not that we lack smart people,

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<v Speaker 9>and we don't lack certainly good ideas, but there are

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<v Speaker 9>too many barriers to commercialize in innovations and scaling the

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<v Speaker 9>map in the European Union.

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<v Speaker 8>The numbers helped show the scale of the gap between

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<v Speaker 8>Europe and the US despite having a larger population. The

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<v Speaker 8>European Union's GDP sits around nineteen trillion dollars. That's compared

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<v Speaker 8>to twenty nine trillion dollars for the US. The stock

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<v Speaker 8>six hundred's market cap is about fourteen trillion dollars versus

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<v Speaker 8>over fifty trillion for the S and P five hundred.

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<v Speaker 8>One criticism has been that Brussel's aggressive approach to regulation,

0:14:18.520 --> 0:14:23.000
<v Speaker 8>especially with big technology companies, has held corporate Europe back

0:14:23.160 --> 0:14:26.560
<v Speaker 8>versus its global rivals. The person at the center of

0:14:26.560 --> 0:14:30.000
<v Speaker 8>this policy for the past decade is Margreta Vestaya, the

0:14:30.040 --> 0:14:33.560
<v Speaker 8>EU's Format Competition Commissioner. We spoke to her on her

0:14:33.640 --> 0:14:36.760
<v Speaker 8>final day as the bloc's top antitrust enforcer.

0:14:37.200 --> 0:14:42.560
<v Speaker 10>What that has been sort of mid live in Danish politics,

0:14:42.600 --> 0:14:46.240
<v Speaker 10>in European politics, was to make sure that everybody has

0:14:46.240 --> 0:14:49.840
<v Speaker 10>a fair chance of making it and making sure that

0:14:49.880 --> 0:14:53.520
<v Speaker 10>the market provides for thats that the market serves customers.

0:14:54.200 --> 0:14:56.880
<v Speaker 10>That has been you know, the thrend of these ten

0:14:57.000 --> 0:14:57.480
<v Speaker 10>years from me.

0:14:57.720 --> 0:14:59.560
<v Speaker 8>It's a mancha that has resulted in some of the

0:14:59.640 --> 0:15:02.880
<v Speaker 8>toughest rules in the world for big tech. Another way

0:15:02.880 --> 0:15:05.400
<v Speaker 8>to put it, if you can't beat Silicon Valley at

0:15:05.400 --> 0:15:09.000
<v Speaker 8>its own game, regulate it. Vestia has overseen some of

0:15:09.040 --> 0:15:12.320
<v Speaker 8>the EU's most high profile cases, taking on the world's

0:15:12.440 --> 0:15:16.600
<v Speaker 8>biggest companies and issuing over twenty five billion euros in

0:15:16.720 --> 0:15:20.280
<v Speaker 8>fines for abuses of dominance and cartel violations.

0:15:20.640 --> 0:15:21.880
<v Speaker 7>Today is a big win.

0:15:22.280 --> 0:15:25.720
<v Speaker 8>She won a record thirteen billion euro tax judgment against

0:15:25.760 --> 0:15:30.160
<v Speaker 8>Apple and oversaw one of the Eve's landmark pieces of regulation,

0:15:30.480 --> 0:15:34.400
<v Speaker 8>the Digital Markets Act. We asked about her rise from

0:15:34.520 --> 0:15:38.680
<v Speaker 8>Danish politician to perhaps the most feared name in Silicon Valley.

0:15:39.280 --> 0:15:42.240
<v Speaker 10>I don't really know how to prepare for being on

0:15:42.240 --> 0:15:45.240
<v Speaker 10>the front page of one of the US main papers.

0:15:45.440 --> 0:15:48.000
<v Speaker 10>It's important to figure out how to go with it.

0:15:48.840 --> 0:15:52.360
<v Speaker 10>I came, of course from executive positions in Denmark. I

0:15:52.440 --> 0:15:57.160
<v Speaker 10>was the Deputy Prime Minister. That several experiences as a minister.

0:15:57.760 --> 0:15:59.920
<v Speaker 10>But I think the most important point is that you've

0:16:00.040 --> 0:16:03.000
<v Speaker 10>believe in what you do. That's the cases that we

0:16:03.160 --> 0:16:06.960
<v Speaker 10>have thoughts, that they have been fought with great work

0:16:06.960 --> 0:16:10.040
<v Speaker 10>by the teams, with very strong evidence. I think that's

0:16:10.080 --> 0:16:12.840
<v Speaker 10>the kind of preparedness that you need, that you believe

0:16:12.880 --> 0:16:15.200
<v Speaker 10>that this is a strong case and you have something

0:16:15.520 --> 0:16:16.680
<v Speaker 10>valuable to say.

0:16:17.600 --> 0:16:20.480
<v Speaker 8>And from her point of view, things have gotten better.

0:16:20.960 --> 0:16:23.960
<v Speaker 10>I definitely think that we have made progress. The world

0:16:24.080 --> 0:16:28.239
<v Speaker 10>was different ten years ago. How we looked at technology

0:16:28.360 --> 0:16:31.840
<v Speaker 10>was very different. Ten years ago, nobody was really asking

0:16:31.920 --> 0:16:35.480
<v Speaker 10>questions to say is this really fair? Is this a

0:16:35.520 --> 0:16:39.280
<v Speaker 10>good way to behave in the marketplace? That has changed completely.

0:16:39.800 --> 0:16:43.160
<v Speaker 10>You know, now people have much more nuanced views. I

0:16:43.200 --> 0:16:45.600
<v Speaker 10>think seeing all the good things that comes with technology,

0:16:45.920 --> 0:16:48.760
<v Speaker 10>but also realizing that we really need to take care

0:16:49.800 --> 0:16:52.600
<v Speaker 10>both to make sure that the market remains open, but

0:16:52.680 --> 0:16:57.840
<v Speaker 10>also that technology is not addictive, is not providing rapid

0:16:57.880 --> 0:17:03.200
<v Speaker 10>holes or dark patterns or anything else that may manipulate

0:17:04.080 --> 0:17:08.040
<v Speaker 10>us as humans in ways that undermine how society works.

0:17:08.440 --> 0:17:11.639
<v Speaker 8>But today, Vestia's legacy faces a challenge from those who

0:17:11.720 --> 0:17:15.720
<v Speaker 8>say regulation has her Europe, stopping it from creating massive

0:17:15.760 --> 0:17:20.000
<v Speaker 8>technology companies to rival the US or China. We put

0:17:20.000 --> 0:17:22.840
<v Speaker 8>this to Roxanne Vasa, a woman at the very heart

0:17:22.920 --> 0:17:24.440
<v Speaker 8>of Europe's tech scene.

0:17:25.040 --> 0:17:26.000
<v Speaker 7>What I sum up.

0:17:27.560 --> 0:17:31.720
<v Speaker 11>Versus europe regulation, Well, I mean I think Europe definitely

0:17:31.760 --> 0:17:35.200
<v Speaker 11>has the image and the reputation of always wanting to regulate,

0:17:36.040 --> 0:17:36.879
<v Speaker 11>and they're good at it.

0:17:40.280 --> 0:17:43.720
<v Speaker 8>Vasa is the director of Station F, a startup campus

0:17:43.840 --> 0:17:47.239
<v Speaker 8>in Paris. She's also a scout for Sequoia Capital and

0:17:47.320 --> 0:17:48.920
<v Speaker 8>an angel investor herself.

0:17:49.240 --> 0:17:54.560
<v Speaker 11>And I definitely think regulation does in some cases slow

0:17:54.640 --> 0:17:57.800
<v Speaker 11>things down. It creates complexity. In some cases, it's not

0:17:57.880 --> 0:18:00.760
<v Speaker 11>even clear when the regulations are first coming out exactly

0:18:00.840 --> 0:18:03.199
<v Speaker 11>what they apply to and what we need to do

0:18:03.280 --> 0:18:05.400
<v Speaker 11>to comply with them, so it can be quite quite

0:18:05.440 --> 0:18:09.120
<v Speaker 11>difficult to navigate, especially for young innovative companies that don't

0:18:09.119 --> 0:18:10.600
<v Speaker 11>have a lot of resources and a lot of time

0:18:10.640 --> 0:18:11.880
<v Speaker 11>to spend on that kind of thing.

0:18:12.160 --> 0:18:15.560
<v Speaker 8>All that she says can bring some disadvantages for companies

0:18:15.600 --> 0:18:18.679
<v Speaker 8>in Europe compared to their rivals in North America.

0:18:19.000 --> 0:18:21.920
<v Speaker 11>I think in the US there's a lot more flexibility.

0:18:21.960 --> 0:18:25.359
<v Speaker 11>The consumer is potentially less protected because of those discrepancies,

0:18:26.600 --> 0:18:29.040
<v Speaker 11>but as we mentioned, there's less room for innovators to

0:18:29.040 --> 0:18:33.480
<v Speaker 11>play with. So I think there are two very different approaches,

0:18:33.520 --> 0:18:38.120
<v Speaker 11>and I think the European approach will naturally dissuade some

0:18:38.160 --> 0:18:39.880
<v Speaker 11>types of innovation from happening here.

0:18:40.320 --> 0:18:42.600
<v Speaker 8>Margaret Tavastaya takes a different view.

0:18:43.200 --> 0:18:47.000
<v Speaker 10>We're talking a lot these days about competitiveness. The paradox

0:18:47.160 --> 0:18:51.000
<v Speaker 10>is that you can have competition without having competitiveness, but

0:18:51.040 --> 0:18:56.560
<v Speaker 10>you cannot have competitiveness without competition. So really important to

0:18:56.720 --> 0:19:02.520
<v Speaker 10>maintain that strive that everybody should challenged. If you achieve

0:19:02.600 --> 0:19:07.360
<v Speaker 10>a very strong market position, it comes with responsibility. So

0:19:07.520 --> 0:19:09.760
<v Speaker 10>to some degree, I think a lot of people can

0:19:09.800 --> 0:19:13.040
<v Speaker 10>mirror themselves in what we are asking your market participants

0:19:13.400 --> 0:19:17.280
<v Speaker 10>in their own lives. If someone is rich and powerful,

0:19:17.480 --> 0:19:21.280
<v Speaker 10>they have responsibility. If someone is small with very few

0:19:21.320 --> 0:19:24.400
<v Speaker 10>means well they should have a better chance of making it.

0:19:25.000 --> 0:19:28.480
<v Speaker 8>This view has informed the flagship technology regulation for the

0:19:28.520 --> 0:19:31.840
<v Speaker 8>EU and by extension, much of the world over the

0:19:31.880 --> 0:19:32.800
<v Speaker 8>past ten years.

0:19:33.119 --> 0:19:36.639
<v Speaker 10>I think it's important here to see while some regulation

0:19:36.840 --> 0:19:40.360
<v Speaker 10>like the dinal Markets Act is opening the marketplace.

0:19:40.520 --> 0:19:42.399
<v Speaker 7>Regulation like the AI.

0:19:42.040 --> 0:19:45.439
<v Speaker 10>ADS makes AI safe to use, which means again that

0:19:45.520 --> 0:19:48.720
<v Speaker 10>it opens the market for many more use cases where

0:19:48.760 --> 0:19:52.200
<v Speaker 10>people may otherwise scare off. So I think it's important

0:19:52.240 --> 0:19:55.840
<v Speaker 10>to look at regulation and say, okay, that is market creating,

0:19:55.920 --> 0:19:59.960
<v Speaker 10>that is market opening, that is enabling innovation. And then

0:20:00.119 --> 0:20:04.359
<v Speaker 10>look at regulation where you have reporting obligations that you

0:20:04.440 --> 0:20:08.040
<v Speaker 10>may not need or that implementation have been done in

0:20:08.080 --> 0:20:12.000
<v Speaker 10>a way that was overly strict, where with new technology

0:20:12.200 --> 0:20:15.879
<v Speaker 10>or going through things, I would say, why did we

0:20:15.960 --> 0:20:17.919
<v Speaker 10>do that in such a complicated manner?

0:20:17.960 --> 0:20:19.400
<v Speaker 7>There are much easier ways to.

0:20:19.359 --> 0:20:21.760
<v Speaker 10>Do this, So I think it's really important to do that,

0:20:21.800 --> 0:20:25.040
<v Speaker 10>And the new Commission has obliged itself to go through

0:20:25.080 --> 0:20:28.320
<v Speaker 10>the entire.

0:20:27.320 --> 0:20:29.120
<v Speaker 7>Body of regulation to.

0:20:29.200 --> 0:20:33.439
<v Speaker 10>Weed out the overlaps what is unnecessary in order to

0:20:33.480 --> 0:20:35.360
<v Speaker 10>make life easier for businesses speak and.

0:20:35.320 --> 0:20:37.000
<v Speaker 1>Small station FSA.

0:20:37.040 --> 0:20:41.680
<v Speaker 8>Vasa also says that while regulation can sometimes slow tech innovation,

0:20:41.880 --> 0:20:45.959
<v Speaker 8>it can also create opportunities, and she's optimistic about the

0:20:46.000 --> 0:20:47.960
<v Speaker 8>future of Europe's startup culture.

0:20:48.320 --> 0:20:48.879
<v Speaker 7>I think it's.

0:20:48.760 --> 0:20:51.760
<v Speaker 11>Interesting we don't also talk about the opportunities that some

0:20:52.040 --> 0:20:55.760
<v Speaker 11>regulations can create. And when I say that something specifically

0:20:56.480 --> 0:21:00.439
<v Speaker 11>of climate tech, the climate tech industry, I do think

0:21:00.480 --> 0:21:03.520
<v Speaker 11>that the regulation obviously is causing a lot of headache

0:21:03.560 --> 0:21:05.920
<v Speaker 11>for some companies that have to comply, but it is

0:21:05.960 --> 0:21:08.720
<v Speaker 11>also creating a lot more opportunity and a lot more

0:21:08.800 --> 0:21:12.000
<v Speaker 11>interest for this category in Europe. I would say actually

0:21:12.160 --> 0:21:16.200
<v Speaker 11>that Europe has made a huge cultural shift, maybe over

0:21:16.320 --> 0:21:19.840
<v Speaker 11>the last five years. If I'm looking specifically at France,

0:21:19.920 --> 0:21:22.639
<v Speaker 11>ten years ago, it was definitely not a thing to

0:21:22.680 --> 0:21:25.840
<v Speaker 11>be an entrepreneur. It was almost considered crazy, why don't

0:21:25.880 --> 0:21:29.360
<v Speaker 11>you go get a real job essentially, but that has

0:21:29.680 --> 0:21:32.480
<v Speaker 11>one hundred percent change today and I think just about

0:21:32.520 --> 0:21:35.000
<v Speaker 11>everybody wants to be a founder. So I think this

0:21:35.119 --> 0:21:37.960
<v Speaker 11>cultural shift that we're seeing in France and the rest

0:21:37.960 --> 0:21:41.040
<v Speaker 11>of Europe is also catching up with It has changed

0:21:41.080 --> 0:21:42.520
<v Speaker 11>a lot of things. And when I actually look at

0:21:42.560 --> 0:21:45.399
<v Speaker 11>how people build companies in the US and in Europe,

0:21:45.400 --> 0:21:48.840
<v Speaker 11>I mean obviously structurally in Europe, things are very different.

0:21:48.920 --> 0:21:53.440
<v Speaker 11>It means something very different to build a company buttural,

0:21:54.040 --> 0:21:58.560
<v Speaker 11>the kind of mindset of entrepreneurs is almost identical. I

0:21:58.560 --> 0:22:01.560
<v Speaker 11>would say it's actually maybe become even a little bit

0:22:01.560 --> 0:22:04.879
<v Speaker 11>more balanced recently. I think with AI, we've seen the

0:22:05.040 --> 0:22:07.679
<v Speaker 11>US having to step in a bit more, deciding to

0:22:07.720 --> 0:22:09.520
<v Speaker 11>regulate a bit more now, or have to see if

0:22:09.520 --> 0:22:11.119
<v Speaker 11>that continues with the new presidency.

0:22:11.480 --> 0:22:15.680
<v Speaker 8>The u's tough approach to regulation hasn't always pleased its partners.

0:22:16.160 --> 0:22:20.159
<v Speaker 8>President Trump notably attacked the Stayre, saying she hates the

0:22:20.280 --> 0:22:24.040
<v Speaker 8>United States, perhaps worse than any person I've ever met.

0:22:24.359 --> 0:22:27.800
<v Speaker 8>Now she hands over to her successor today, Saidribeta of Spain.

0:22:28.040 --> 0:22:35.320
<v Speaker 8>With massive antitrust decisions to take against American companies Apple, Alphabets, Google, Meta,

0:22:35.520 --> 0:22:39.080
<v Speaker 8>and X, owned by Trump confidant Elon Musk, could face

0:22:39.240 --> 0:22:43.640
<v Speaker 8>billions in fines or even mandatory divestment orders. We ask

0:22:43.720 --> 0:22:46.560
<v Speaker 8>Drewbera how she hopes to deal with the new administration.

0:22:47.080 --> 0:22:52.480
<v Speaker 12>I will try to anticipate how to say cooperative relations

0:22:52.520 --> 0:22:55.639
<v Speaker 12>in this fields. I think that all American consumers and

0:22:55.680 --> 0:23:00.720
<v Speaker 12>European consumers worldwide consumers to benefit when we pay attention

0:23:00.920 --> 0:23:06.639
<v Speaker 12>on how the market does work, and I was said,

0:23:06.840 --> 0:23:12.400
<v Speaker 12>and this is quite clear that before in the previous

0:23:12.440 --> 0:23:16.440
<v Speaker 12>Trump bandit there was also some involvement, relevant involvement and

0:23:16.760 --> 0:23:22.960
<v Speaker 12>coordination between the competitition competition policies and decisions between the

0:23:23.000 --> 0:23:25.320
<v Speaker 12>two authorities. So I hope that we can work together.

0:23:25.600 --> 0:23:28.080
<v Speaker 8>As for Vestias, she may be backing away from the

0:23:28.080 --> 0:23:32.040
<v Speaker 8>front lines of antitrust enforcement, but she's hardly fading away.

0:23:32.280 --> 0:23:35.840
<v Speaker 10>Well, what the future brings, I don't know. What I

0:23:35.920 --> 0:23:40.359
<v Speaker 10>know is that I bought myself a domain, which is

0:23:40.520 --> 0:23:45.240
<v Speaker 10>dot eu because it may be that the European Commission

0:23:45.320 --> 0:23:45.920
<v Speaker 10>is done with me.

0:23:45.960 --> 0:23:47.760
<v Speaker 7>But I'm so not done with Europe.

0:23:50.080 --> 0:23:53.440
<v Speaker 2>Coming up, numbers make the world of Wall Street go around,

0:23:53.960 --> 0:23:57.000
<v Speaker 2>but the reliability of those numbers may be at risk

0:23:57.080 --> 0:24:00.960
<v Speaker 2>as we continue to cut government costs. Next on Wall

0:24:00.960 --> 0:24:01.720
<v Speaker 2>Street Week.

0:24:22.760 --> 0:24:27.000
<v Speaker 6>This is Bloomberg Wall Street Week with David Weston from

0:24:27.119 --> 0:24:28.040
<v Speaker 6>Bloomberg Radio.

0:24:29.320 --> 0:24:33.120
<v Speaker 2>This is a story about numbers here at Bloomberg. Numbers

0:24:33.200 --> 0:24:36.880
<v Speaker 2>are our business. They move markets and help us understand

0:24:36.880 --> 0:24:40.080
<v Speaker 2>the economy, and so we need them to be timely

0:24:40.280 --> 0:24:43.520
<v Speaker 2>and accurate. Our colleague Molly Smith tells us about the

0:24:43.640 --> 0:24:46.600
<v Speaker 2>risk of not getting the numbers that we need.

0:24:49.320 --> 0:24:52.560
<v Speaker 13>One of President elect Donald Trump's earliest priorities. When he

0:24:52.600 --> 0:24:55.440
<v Speaker 13>steps back into the Oval office in January, We'll be

0:24:55.520 --> 0:24:59.600
<v Speaker 13>shrinking the government by cutting regulations, spending, and headcount.

0:25:01.040 --> 0:25:03.600
<v Speaker 14>For God, this is an important day. It's the beginning

0:25:03.640 --> 0:25:05.920
<v Speaker 14>of a journey. You've heard what DOGE is all about,

0:25:06.000 --> 0:25:09.520
<v Speaker 14>the Department of Government and efficiency. It's a new thing,

0:25:09.880 --> 0:25:12.080
<v Speaker 14>and this is a new day in Washington and a

0:25:12.080 --> 0:25:13.000
<v Speaker 14>new day in America.

0:25:13.040 --> 0:25:15.720
<v Speaker 13>A slim down federal government could present a threat to

0:25:15.760 --> 0:25:18.840
<v Speaker 13>a handful of statistical agencies that have been sounding the

0:25:18.880 --> 0:25:22.240
<v Speaker 13>alarm on their cash crunch for years. The Census Bureau,

0:25:22.520 --> 0:25:25.400
<v Speaker 13>the Bureau of Economic Analysis, and the Bureau of Labor

0:25:25.440 --> 0:25:29.760
<v Speaker 13>Statistics are all under financial strain. The BLS collects and

0:25:29.840 --> 0:25:33.359
<v Speaker 13>analyzes US employment data, and it lays claim to what

0:25:33.600 --> 0:25:37.199
<v Speaker 13>could be the single most important piece of information in

0:25:37.240 --> 0:25:39.919
<v Speaker 13>the world of finance, the monthly Jobs Report.

0:25:40.440 --> 0:25:47.719
<v Speaker 15>Every year, BLS lost purchasing power right salaries for the workers.

0:25:47.760 --> 0:25:52.040
<v Speaker 15>We're going up, but the budget was not.

0:25:53.320 --> 0:25:57.200
<v Speaker 13>Erica Groschen is intimately familiar with the BLS's fight for funding.

0:25:57.600 --> 0:26:00.960
<v Speaker 13>She served as its commissioner under President Obama from twenty

0:26:01.000 --> 0:26:02.560
<v Speaker 13>thirteen to twenty seventeen.

0:26:02.800 --> 0:26:07.760
<v Speaker 15>You start almost two years beforehand, so one you've got

0:26:07.760 --> 0:26:10.439
<v Speaker 15>one budget kind of in process, and you're pulling together

0:26:10.520 --> 0:26:14.919
<v Speaker 15>the next year's budget. The department sends that budget to

0:26:15.040 --> 0:26:19.240
<v Speaker 15>OMB and from all of the departments, so the Department

0:26:19.280 --> 0:26:23.960
<v Speaker 15>of Commerce, Labor, et cetera. The OMB helps the White

0:26:24.000 --> 0:26:27.080
<v Speaker 15>House pull together what's called the President's budget. Then it

0:26:27.119 --> 0:26:30.120
<v Speaker 15>goes to the House and to the Senate, and each

0:26:30.160 --> 0:26:34.280
<v Speaker 15>of those appropriations committees winnows it down further. So it's

0:26:34.800 --> 0:26:39.159
<v Speaker 15>a long drawn out, complicated process where you're continually giving

0:26:39.240 --> 0:26:46.480
<v Speaker 15>up on ideas and necessities that you really wanted to

0:26:46.480 --> 0:26:47.000
<v Speaker 15>be funded.

0:26:47.359 --> 0:26:51.240
<v Speaker 13>The BLS, Census Bureau and the BEEA how to combine

0:26:51.240 --> 0:26:55.040
<v Speaker 13>two point two billion dollar budget last year just zero

0:26:55.160 --> 0:26:59.600
<v Speaker 13>points zero three percent of federal spending after adjusting for inflation.

0:27:00.160 --> 0:27:03.840
<v Speaker 13>BLS funding has slumped almost twenty percent since twenty ten.

0:27:04.200 --> 0:27:09.280
<v Speaker 16>Congress, unlike its predecessors in the nineteenth century, has lost sight,

0:27:09.680 --> 0:27:12.800
<v Speaker 16>in my opinion, of the value of the statistical system.

0:27:13.240 --> 0:27:16.680
<v Speaker 13>Andrew Reemer at George Washington University has been researching the

0:27:16.760 --> 0:27:19.919
<v Speaker 13>role of policy and agency funding for twenty years.

0:27:20.359 --> 0:27:22.480
<v Speaker 16>Back in the day two hundred plus years ago, the

0:27:22.520 --> 0:27:27.720
<v Speaker 16>primary customer for the data was Congress. There was no internet.

0:27:28.600 --> 0:27:31.240
<v Speaker 16>Data were if it was published, it was published way late.

0:27:31.359 --> 0:27:34.520
<v Speaker 16>No one could really use it. Our world has changed,

0:27:34.600 --> 0:27:38.320
<v Speaker 16>and so we're on Wall Street week. The first Friday

0:27:38.320 --> 0:27:40.879
<v Speaker 16>of every month, the stock market does something on the

0:27:40.880 --> 0:27:44.320
<v Speaker 16>basis of the numbers that come out on Friday morning

0:27:44.600 --> 0:27:46.400
<v Speaker 16>regarding unemployment and jobs.

0:27:46.760 --> 0:27:49.119
<v Speaker 1>The FED needs that data.

0:27:49.359 --> 0:27:51.400
<v Speaker 16>The second thing that happens when that data come out

0:27:51.600 --> 0:27:54.240
<v Speaker 16>first Friday of the month is that Chairman Powell goes

0:27:54.280 --> 0:27:56.080
<v Speaker 16>in front of the cameras and says what it means

0:27:56.119 --> 0:27:59.160
<v Speaker 16>for the FED cutting or not cutting interest rates up

0:27:59.160 --> 0:28:01.840
<v Speaker 16>the street from me as a target. Target relied on

0:28:02.520 --> 0:28:05.680
<v Speaker 16>census data to determine it's going to be in my neighborhood.

0:28:06.320 --> 0:28:11.320
<v Speaker 16>Every business, every retail business, every factory uses federal data

0:28:11.359 --> 0:28:13.760
<v Speaker 16>to figure out where it's going to invest and how

0:28:13.840 --> 0:28:17.080
<v Speaker 16>much it's going to invest. If those data are bad,

0:28:17.720 --> 0:28:18.879
<v Speaker 16>companies lose money.

0:28:19.359 --> 0:28:22.400
<v Speaker 13>The data isn't just important on paper. It has real

0:28:22.440 --> 0:28:25.760
<v Speaker 13>market consequences, which we saw play out when a weaker

0:28:25.760 --> 0:28:29.720
<v Speaker 13>than expected print helped trigger a six point four trillion

0:28:29.800 --> 0:28:31.600
<v Speaker 13>dollar global wipeout in August.

0:28:32.000 --> 0:28:34.160
<v Speaker 1>Well, here is a downside surprise. It's going to catch

0:28:34.200 --> 0:28:35.000
<v Speaker 1>the market's attention.

0:28:35.119 --> 0:28:39.160
<v Speaker 16>One hundred and fourteen thousand jobs created last month, according

0:28:39.160 --> 0:28:40.080
<v Speaker 16>to the BLS.

0:28:40.800 --> 0:28:44.040
<v Speaker 13>Michael Collins at PGIM Fixed Income sees the difference in

0:28:44.080 --> 0:28:46.560
<v Speaker 13>the quality of the data and the effect it has

0:28:46.640 --> 0:28:48.800
<v Speaker 13>on how he makes his investment decisions.

0:28:49.200 --> 0:28:53.440
<v Speaker 17>The data is probably less reliable today than it's been,

0:28:53.520 --> 0:28:56.240
<v Speaker 17>But that being said, we have so much more data

0:28:56.680 --> 0:28:58.600
<v Speaker 17>right than we've ever had. I mean, you think back,

0:28:58.840 --> 0:29:01.040
<v Speaker 17>you know, the nineteen to forties, fifties and sixties, and

0:29:01.040 --> 0:29:03.400
<v Speaker 17>you look at the old newspaper clippings, I mean the

0:29:03.720 --> 0:29:07.000
<v Speaker 17>limited amount and the and the poor timeliness of the data.

0:29:07.480 --> 0:29:10.160
<v Speaker 17>People are still managing money and making you know, big

0:29:10.200 --> 0:29:14.360
<v Speaker 17>investments on those releases. Today we're actually, you know, have

0:29:14.440 --> 0:29:19.280
<v Speaker 17>the benefit of having so much macro data, micro data,

0:29:19.960 --> 0:29:23.600
<v Speaker 17>uh you know, contemporaneous data, leading data, lagging data, and

0:29:23.640 --> 0:29:26.680
<v Speaker 17>so we have the flexibility to put it all together

0:29:27.040 --> 0:29:29.280
<v Speaker 17>and try to, you know, paint a bigger picture. And

0:29:29.320 --> 0:29:31.800
<v Speaker 17>we're really looking, you know, at each piece of data

0:29:31.880 --> 0:29:34.600
<v Speaker 17>as a as a component to the bigger picture.

0:29:34.600 --> 0:29:36.800
<v Speaker 1>Does it support our thesis or.

0:29:36.760 --> 0:29:39.760
<v Speaker 17>Does it you know, make us think twice about our

0:29:39.800 --> 0:29:42.960
<v Speaker 17>thesis and maybe pause before we put on a trade

0:29:43.040 --> 0:29:45.680
<v Speaker 17>or an investment that that will benefit from from from

0:29:45.720 --> 0:29:47.840
<v Speaker 17>our view, and by the time you get the revisions

0:29:48.040 --> 0:29:50.840
<v Speaker 17>right that it is so backward looking that it doesn't

0:29:50.880 --> 0:29:53.760
<v Speaker 17>reflect market behavior going forward.

0:29:53.840 --> 0:29:53.920
<v Speaker 3>Right.

0:29:54.000 --> 0:29:58.640
<v Speaker 17>The markets are very forward looking beasts, as you know, Uh,

0:29:58.680 --> 0:30:02.120
<v Speaker 17>they will take each data point and try to extrapolate

0:30:03.040 --> 0:30:06.400
<v Speaker 17>the trend up or down on any of these different

0:30:06.600 --> 0:30:09.920
<v Speaker 17>indicators or series. So when you do a revision, all

0:30:09.960 --> 0:30:13.400
<v Speaker 17>it does is kind of reset maybe the level, but

0:30:13.440 --> 0:30:14.240
<v Speaker 17>it doesn't really.

0:30:14.160 --> 0:30:15.640
<v Speaker 1>Change the forward looking trend.

0:30:16.320 --> 0:30:19.600
<v Speaker 17>So either way, the data to investors like us, long

0:30:19.680 --> 0:30:21.000
<v Speaker 17>term investors.

0:30:20.760 --> 0:30:22.680
<v Speaker 1>Are not that important.

0:30:23.320 --> 0:30:25.800
<v Speaker 17>What's important is how the markets are going to respond

0:30:26.120 --> 0:30:29.320
<v Speaker 17>to activity in the future. So we're always trying to

0:30:29.320 --> 0:30:32.600
<v Speaker 17>stay obviously one step ahead of the data, right, to

0:30:32.640 --> 0:30:35.640
<v Speaker 17>try to take the data and again try to paint

0:30:35.640 --> 0:30:40.520
<v Speaker 17>a picture of the direction of these different indicators, and

0:30:40.560 --> 0:30:43.480
<v Speaker 17>we will certainly make investments and put on trades and

0:30:43.520 --> 0:30:46.960
<v Speaker 17>put on positions that we think are consistent with our

0:30:47.080 --> 0:30:50.560
<v Speaker 17>view on which way the data is pointing. If you

0:30:50.600 --> 0:30:54.320
<v Speaker 17>get a revision, by then it's real, it's really moot.

0:30:54.640 --> 0:30:58.360
<v Speaker 13>In August of this year, the BLS found itself unprepared

0:30:58.480 --> 0:31:01.800
<v Speaker 13>to handle a delay in releasing a scheduled revision to

0:31:01.880 --> 0:31:05.280
<v Speaker 13>its jobs data. The figures were finally released about thirty

0:31:05.320 --> 0:31:07.920
<v Speaker 13>minutes after they were supposed to come out, but not

0:31:08.000 --> 0:31:11.040
<v Speaker 13>before a handful of firms, including B and P, Prryba,

0:31:11.240 --> 0:31:14.400
<v Speaker 13>and Mazuo got the numbers because they called the BLS

0:31:14.400 --> 0:31:17.240
<v Speaker 13>and asked. The follout from the glitch was made worse

0:31:17.280 --> 0:31:21.360
<v Speaker 13>by the massive revision, highlighting another issue plaguing the BLS

0:31:21.600 --> 0:31:25.720
<v Speaker 13>and other statistical agencies, declining response rates to surveys.

0:31:26.240 --> 0:31:30.240
<v Speaker 15>Because response rates are falling, then you're not actually getting

0:31:30.280 --> 0:31:35.760
<v Speaker 15>sixty thousand households every month, you're getting substantially less than that,

0:31:36.320 --> 0:31:43.160
<v Speaker 15>and so you're really missing out on smaller groups, racial groups,

0:31:44.200 --> 0:31:49.480
<v Speaker 15>industry groups, veterans, etc. If you want to know what's

0:31:49.520 --> 0:31:53.960
<v Speaker 15>going on with the various groups, the information just won't

0:31:54.000 --> 0:31:57.600
<v Speaker 15>be as good. Response rates are falling for all surveys

0:31:57.800 --> 0:32:03.960
<v Speaker 15>all across the world, all kinds of surveys. There's what it's.

0:32:03.400 --> 0:32:04.160
<v Speaker 7>Called in the field.

0:32:04.200 --> 0:32:06.760
<v Speaker 15>It's called survey fatigue. So people get a lot of

0:32:06.800 --> 0:32:10.280
<v Speaker 15>requests and when it first started, there were very few surveys.

0:32:10.320 --> 0:32:13.840
<v Speaker 15>And another factor in all of this has been the

0:32:13.880 --> 0:32:15.440
<v Speaker 15>demonization of government.

0:32:16.120 --> 0:32:18.520
<v Speaker 13>Grosshan says the lack of trust in the government and

0:32:18.560 --> 0:32:21.920
<v Speaker 13>its data creates a feedback loop of low response rates

0:32:21.960 --> 0:32:23.320
<v Speaker 13>and inaccurate data.

0:32:23.400 --> 0:32:30.240
<v Speaker 15>So a conversion of the top ranks of the staff

0:32:30.840 --> 0:32:37.959
<v Speaker 15>in the statistical agencies to political appointees threatens to undermine

0:32:38.040 --> 0:32:42.760
<v Speaker 15>trust in the agencies. And when you undermine trust, you

0:32:42.840 --> 0:32:45.080
<v Speaker 15>interfere with their ability to fulfill their mission.

0:32:46.160 --> 0:32:48.800
<v Speaker 16>If you had come here a few years ago, these

0:32:48.800 --> 0:32:50.000
<v Speaker 16>streets didn't exist it.

0:32:50.160 --> 0:32:53.680
<v Speaker 13>Zach Brandon and Aaron Olver saw firsthand how data from

0:32:53.680 --> 0:32:58.800
<v Speaker 13>statistical agencies turned into cash for their hometown of Madison, Wisconsin, but.

0:32:58.800 --> 0:33:02.240
<v Speaker 18>Really start earlier in two thousand and five, two thousand

0:33:02.240 --> 0:33:05.880
<v Speaker 18>and four. But the report that I think set the

0:33:05.920 --> 0:33:08.840
<v Speaker 18>groundwork for what came out of the Chips Act was

0:33:08.960 --> 0:33:11.840
<v Speaker 18>this the study that came from Brookies in twenty nineteen.

0:33:12.000 --> 0:33:15.400
<v Speaker 18>They looked at population, they looked at types of jobs,

0:33:15.440 --> 0:33:18.719
<v Speaker 18>they looked at share of bachelor's degrees, They looked at

0:33:19.160 --> 0:33:21.920
<v Speaker 18>stem R and D investments, they looked at.

0:33:21.840 --> 0:33:23.120
<v Speaker 1>PhDs per capita.

0:33:23.720 --> 0:33:26.360
<v Speaker 18>So all that is federal data that's collected, and so

0:33:26.400 --> 0:33:32.240
<v Speaker 18>those data sets become important to put together the composite.

0:33:31.080 --> 0:33:35.479
<v Speaker 13>Fifteen Wisconsin companies specializing in healthcare technology as well as

0:33:35.560 --> 0:33:39.280
<v Speaker 13>higher education institutions came together last year to seek the

0:33:39.320 --> 0:33:42.360
<v Speaker 13>designation as a so called tech hub under the Chips

0:33:42.360 --> 0:33:45.920
<v Speaker 13>and Science Act. The state earned forty nine million dollars

0:33:45.920 --> 0:33:49.440
<v Speaker 13>in federal funding, which is expected to create nine billion

0:33:49.520 --> 0:33:53.600
<v Speaker 13>dollars worth of economic development and more than thirty thousand jobs.

0:33:53.920 --> 0:33:57.600
<v Speaker 18>There's sexy headlines and then there's discernible data, right, and

0:33:57.640 --> 0:33:59.960
<v Speaker 18>so you have to look past the headlines, and also

0:34:00.160 --> 0:34:03.280
<v Speaker 18>to look past scale, because if you just looked at size,

0:34:03.320 --> 0:34:04.920
<v Speaker 18>if you just said, you know, well, who has the

0:34:05.000 --> 0:34:07.760
<v Speaker 18>most of these employees, you would just stay in those

0:34:07.800 --> 0:34:10.600
<v Speaker 18>five cities, you know, you'd go to New York wherever

0:34:10.640 --> 0:34:13.440
<v Speaker 18>there was scale. But what you're really looking for is

0:34:13.640 --> 0:34:15.680
<v Speaker 18>a bit of a needle in the haystack. You're looking

0:34:15.680 --> 0:34:18.600
<v Speaker 18>for density. What you're looking for is where is this

0:34:18.640 --> 0:34:21.400
<v Speaker 18>bubbling up now? And that if you could add an

0:34:21.400 --> 0:34:23.880
<v Speaker 18>accelerant to it, So where has the spark occurred? And

0:34:23.880 --> 0:34:26.280
<v Speaker 18>if we could add an accelerant, where will it catch fire?

0:34:26.480 --> 0:34:29.719
<v Speaker 18>What are the solutions to global challenges that the US

0:34:29.840 --> 0:34:33.600
<v Speaker 18>can develop? So health being one of those, So personalized medicine,

0:34:34.000 --> 0:34:36.120
<v Speaker 18>thinking about BioHealth is going to be a big part

0:34:36.160 --> 0:34:38.560
<v Speaker 18>of the future economy in this country.

0:34:39.080 --> 0:34:41.640
<v Speaker 1>So where are those companies? Where does that research exist?

0:34:41.640 --> 0:34:44.200
<v Speaker 18>And I think that's what you saw in this technology

0:34:44.239 --> 0:34:47.320
<v Speaker 18>hub that's developed within Wisconsin, is that if you start

0:34:47.320 --> 0:34:49.839
<v Speaker 18>in Milwaukee and you make your way to Madison, you've

0:34:49.840 --> 0:34:53.080
<v Speaker 18>got more than one hundred companies that touch health in

0:34:53.160 --> 0:34:55.560
<v Speaker 18>some way. And some of the largest companies in the

0:34:55.600 --> 0:34:59.560
<v Speaker 18>world that are doing health care, health delivery, health research,

0:35:00.080 --> 0:35:03.600
<v Speaker 18>health R and D happen to be based in this corridor.

0:35:03.840 --> 0:35:06.200
<v Speaker 1>But if you weren't looking at data, you wouldn't have

0:35:06.280 --> 0:35:06.719
<v Speaker 1>noticed that.

0:35:07.520 --> 0:35:11.040
<v Speaker 13>Brandon says that despite his city's rapid tech growth, it

0:35:11.080 --> 0:35:14.680
<v Speaker 13>could stumble without federal support, and other cities could miss

0:35:14.719 --> 0:35:19.200
<v Speaker 13>out on future investment if statistical agencies continue to lose resources.

0:35:19.600 --> 0:35:25.600
<v Speaker 1>It's really hard to be the dominant innovation economy in

0:35:25.640 --> 0:35:29.000
<v Speaker 1>the world. It's not that hard to undo.

0:35:28.760 --> 0:35:33.040
<v Speaker 18>It, right, and slowly ticking away, knocking off pieces of

0:35:33.080 --> 0:35:35.920
<v Speaker 18>what got us here will set us on us certainly

0:35:36.000 --> 0:35:38.480
<v Speaker 18>on a downward trajectory. And so if you're worried about

0:35:38.480 --> 0:35:42.400
<v Speaker 18>global competitiveness, if you're worried about understanding China's rise and

0:35:42.440 --> 0:35:45.320
<v Speaker 18>innovation and matching that against the US rise and innovation,

0:35:45.760 --> 0:35:48.000
<v Speaker 18>you need data to be able to understand what the

0:35:48.040 --> 0:35:48.839
<v Speaker 18>future looks like.

0:35:49.200 --> 0:35:52.560
<v Speaker 13>Understanding that future as best we can will always be valuable,

0:35:52.760 --> 0:35:55.160
<v Speaker 13>no matter whose data we use to do it. So,

0:35:55.239 --> 0:35:58.040
<v Speaker 13>if the government can't survey and put out its own figures,

0:35:58.360 --> 0:36:01.760
<v Speaker 13>can the private sector pick up the slack? Erica Groschen says,

0:36:01.960 --> 0:36:02.920
<v Speaker 13>It's not so simple.

0:36:03.280 --> 0:36:07.480
<v Speaker 15>It's a huge opportunity, but it's not a substitute. Why

0:36:08.040 --> 0:36:11.960
<v Speaker 15>a private sector company would never have the incentive to

0:36:12.080 --> 0:36:16.560
<v Speaker 15>create the long history of data that the statistical agencies

0:36:16.640 --> 0:36:20.120
<v Speaker 15>do that really help you to put current conditions in perspective.

0:36:20.680 --> 0:36:24.200
<v Speaker 15>They don't have the incentive to be as transparent.

0:36:24.800 --> 0:36:28.400
<v Speaker 13>For now, government data and private surveys continue to go

0:36:28.520 --> 0:36:32.080
<v Speaker 13>hand in hand, but no matter who generates them, good

0:36:32.160 --> 0:36:36.200
<v Speaker 13>numbers will always cost money. The question is do we

0:36:36.280 --> 0:36:42.840
<v Speaker 13>value them enough to keep paying the bill.

0:36:40.800 --> 0:36:42.799
<v Speaker 2>That does it for us? Here at Wall Street Week,

0:36:42.960 --> 0:36:45.600
<v Speaker 2>I'm David Weston. This is Bloomberg. See you next week

0:36:45.640 --> 0:37:02.480
<v Speaker 2>for more stories of capitalism.