WEBVTT - How AI Could Freeze Progress with Hilary Allen

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News. This is Masters in

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<v Speaker 1>Business with Barry Ritholts on Bloomberg Radio.

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<v Speaker 2>I'm Barry Ridholts. You're listening to Masters in Business on

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<v Speaker 2>Bloomberg Radio. My extra special guest this week is Hillary Allen.

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<v Speaker 2>She is a professor at the American University Washington College

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<v Speaker 2>of Law in DC, where she specializes in financial regulation,

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<v Speaker 2>banking law, securities regulation, and technology law. She published a book,

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<v Speaker 2>Fintech Dystopia, a Summer Beach Read about how Silicon Valley

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<v Speaker 2>is ruining things, covering the intersection of finance, technology, law, regulation,

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<v Speaker 2>and politics. It's a perfect subject for us to talk about.

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<v Speaker 2>Hillary Allen, Welcome to Bloomberg.

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<v Speaker 3>Thank you so much for having me.

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<v Speaker 2>So fascinating conversation, fascinating topic that you write about. Before

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<v Speaker 2>we jump into that, let's spend a few minutes going

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<v Speaker 2>over your background. You get a bachelor's in Laws from

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<v Speaker 2>the University of Sydney in Australia, a Master of Laws

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<v Speaker 2>in Securities and Financial Regulation law from Georgetown here in

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<v Speaker 2>the States, and you graduated first in your class there.

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<v Speaker 2>What was the original career plan? Was it simply I'm

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<v Speaker 2>going to go be a lawyer. What were you thinking.

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<v Speaker 4>The original career plan was I'm just going to be

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<v Speaker 4>a lawyer. And then I loved law school and I

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<v Speaker 4>practiced for seven years and discovered there wasn't so much

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<v Speaker 4>law always in the practice of law, and I'm a

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<v Speaker 4>nerd and I missed it. And so the drive was

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<v Speaker 4>to go back to Georgetown and get my master's, do

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<v Speaker 4>some academic writing, and then launch a career as a

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<v Speaker 4>professor where I could.

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<v Speaker 3>Really sort of think slowly about the law.

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<v Speaker 2>And you practiced, you were in London, you were in Sydney,

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<v Speaker 2>Shaman and Sterling here in New York. Tell us a

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<v Speaker 2>little bit about the sort of legal work you were

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<v Speaker 2>doing when you were practicing attorney.

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<v Speaker 4>So basically there's sort of two broad categories of the

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<v Speaker 4>work I did. I did transactional work banking transactional, typically

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<v Speaker 4>acting for banks in leverage buyouts.

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<v Speaker 3>But the work I.

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<v Speaker 4>Think I enjoyed more was the regulatory compliance advisory. So

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<v Speaker 4>there was more law in that, especially when you had

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<v Speaker 4>new financial laws being handed down in Australia and changes

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<v Speaker 4>in the US with Dot Frank and sort of trying

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<v Speaker 4>to figure out how to comply with those new rules.

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<v Speaker 2>So how do you go from practicing bank transactions and

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<v Speaker 2>some regulatory law to ultimately working with the Financial Crisis

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<v Speaker 2>in Greek Commission. Tell us a little bit about your

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<v Speaker 2>experiences there.

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<v Speaker 4>So that was a serious of a series of fortunate events.

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<v Speaker 4>While I was doing my master's at Georgetown, I had

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<v Speaker 4>a professor who was tapped to be on the staff

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<v Speaker 4>of the financialis Inquired Commission, and he pulled me into

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<v Speaker 4>work with them two days a week and we were

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<v Speaker 4>investigating the causes of the two thousand and eight financial

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<v Speaker 4>crisis to put together the report that came out, which

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<v Speaker 4>really was.

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<v Speaker 2>Sort of a nice thick book that they published.

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<v Speaker 4>It's a really thick book with a really thick index even,

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<v Speaker 4>and the idea was to tell the story. And that's

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<v Speaker 4>really sort of stuck with me throughout my career, the

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<v Speaker 4>importance of being able to explain complex things and how

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<v Speaker 4>they knit together to cause things.

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<v Speaker 2>So working with the FCIC, how did that affect how

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<v Speaker 2>you looked at regulation in general, but more specifically the

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<v Speaker 2>government's responds to technology, new financial products, the regulatory world

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<v Speaker 2>in general.

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<v Speaker 4>So the gift that I got from working with the

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<v Speaker 4>Financial Crisis in quir Commission is sort of understanding that

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<v Speaker 4>there are a lot of things that come together and

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<v Speaker 4>you need to really look very broadly to understand systemic changes.

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<v Speaker 4>Another gift that it gave me was I think a

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<v Speaker 4>healthy skepticism of innovation rhetoric, right, because if you think

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<v Speaker 4>back to two thousand and eight and what caused it,

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<v Speaker 4>you know there were all these stories about well, these

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<v Speaker 4>new financial products, these complex new derivatives, we don't need

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<v Speaker 4>to regulate them, their innovation, sophisticated parties involved, We don't

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<v Speaker 4>want to tamp down on innovative potential. And so that

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<v Speaker 4>that skepticism has been a helpful skill set as I've

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<v Speaker 4>been navigating the sort of post two thousand and eight

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<v Speaker 4>financial world where you have the innovation rhetoric from Silicon

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<v Speaker 4>Valley infiltrating into financial services.

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<v Speaker 2>You raise a really interesting issue that I have to

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<v Speaker 2>ask about. So, how much of what we see as

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<v Speaker 2>regulation is either an adherence to an ideology that sometimes

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<v Speaker 2>says regulation is good and our guardrails and capitalism and

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<v Speaker 2>other ideology says regulation is expens and anti innovative and

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<v Speaker 2>reduces job creation. It seems like, regardless of the facts

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<v Speaker 2>on the ground, each side has their belief system. How

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<v Speaker 2>do you contextualize that.

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<v Speaker 4>Well, I mean, I think I don't think there were

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<v Speaker 4>too many people in the depths of the two thousand

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<v Speaker 4>and eight crisis who were saying there's too much regulation.

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<v Speaker 4>I think it's a function of where you are in

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<v Speaker 4>a particular time. I think people's memories fade really quickly,

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<v Speaker 4>and as soon as regulation has solved the problems it

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<v Speaker 4>was intended to solve, or the crisis that spurred the

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<v Speaker 4>regulation has dissipated, people quickly forget why that regulation is

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<v Speaker 4>there in place, and then it becomes much easier to

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<v Speaker 4>see it as something that is just a hindrance, something

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<v Speaker 4>that is just expensive, that doesn't have a role to play.

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<v Speaker 4>But I think what we're actually seeing right at this

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<v Speaker 4>moment is the erosion of the securities laws that really

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<v Speaker 4>have stood investors in goodstead since the nineteen thirties. Not

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<v Speaker 4>to say they're perfect, but the general sort of investor

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<v Speaker 4>protection regime that the Securities and Exchange Commission is always

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<v Speaker 4>implemented has really encouraged trust in the US stock market,

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<v Speaker 4>and it sort of made it the endvy of the world,

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<v Speaker 4>and people wanted to list here. That's really getting peeled

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<v Speaker 4>back right now, and so I think, you know, it'll be.

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<v Speaker 3>Pretty soon a moment.

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<v Speaker 4>Where we realize why we had all that regulation, and

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<v Speaker 4>we'll miss it.

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<v Speaker 2>So heading into the financial crisis, I recall looking at

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<v Speaker 2>some of what I called radical deregulation prior. And this

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<v Speaker 2>isn't by no means the sole cause of the financial crisis.

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<v Speaker 2>Lots of factors led to this. But you had the

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<v Speaker 2>Commodity's Futures Modernization Act, which allowed what was essentially an

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<v Speaker 2>insurance product to be issued without any insurance reserves and

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<v Speaker 2>a risky and then you had the repeal of glass

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<v Speaker 2>steel that kept depository banks separate from speculative Wall Street banks.

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<v Speaker 2>It probably didn't cause the crisis, but certainly allowed it

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<v Speaker 2>to get much bigger at the very least. And yet

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<v Speaker 2>there didn't seem to be any desire after the crisis. Hey,

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<v Speaker 2>maybe we should put these things back into place. Maybe

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<v Speaker 2>we should repeal what was added and restore what was repealed.

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<v Speaker 2>Nobody wanted. They want to go a totally different direction.

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<v Speaker 4>Well, I think again, this is a story of political economy,

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<v Speaker 4>and there are still a lot of people who are

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<v Speaker 4>mad at the Obama administration for prioritizing health care over

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<v Speaker 4>financial reform. Because basically they had one shot at doing

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<v Speaker 4>something big and if they had, and I'm not weighing

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<v Speaker 4>in to say that this was the right or the

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<v Speaker 4>wrong move, but if they had gone right out of

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<v Speaker 4>the gates with financial reform, I think we would have

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<v Speaker 4>seen more of the bigger structural things that you're talking about. So,

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<v Speaker 4>you know, in that immediate aftermath of the two thousand

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<v Speaker 4>and eight crisis, you had Sandy will who had been

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<v Speaker 4>the head of City Group and had sort of engineered

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<v Speaker 4>the end.

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<v Speaker 3>Of the glass Stegel legislation.

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<v Speaker 4>And from this maybe apocryphal, but apparently he had a

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<v Speaker 4>deal toy that said shatterer of glass Stegel that he

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<v Speaker 4>kept on his desk. And again this may be apocryphal,

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<v Speaker 4>but I heard that he basically sort of had a

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<v Speaker 4>conversion after two thousand and eight said oh, yeah, probably

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<v Speaker 4>shouldn't have done that.

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<v Speaker 2>Well, well, a lot of people did. Alan Greenspin famously said,

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<v Speaker 2>I incorrectly assumed people's concern over their own reputation would

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<v Speaker 2>have prevented some of the excesses we've seen. I'm paraphrasing,

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<v Speaker 2>but that was pretty close to what he said.

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<v Speaker 4>Yeah, he said, the world sort of didn't work the

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<v Speaker 4>way I thought it did, and I think, you know,

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<v Speaker 4>had they gone straight out of the gates with financial reform,

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<v Speaker 4>you might have seen some of that structural reform. But

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<v Speaker 4>by the time they got around to it, you know,

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<v Speaker 4>DoD Frank wesn't passed two twenty ten. You know, then

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<v Speaker 4>the political economy calculus had shifted. The industry was in

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<v Speaker 4>more of a position to sort of argue for weaker

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<v Speaker 4>rules and fewer structural changes.

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<v Speaker 2>It's amazing how rapidly memories fade and people just quickly, Oh, no,

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<v Speaker 2>that was then, Now it's new. You've worked inside the

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<v Speaker 2>global financial system as well as studying it from the outside.

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<v Speaker 2>How did being part of the FCICE affect how you

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<v Speaker 2>perceive technology, new financial products, regulation, and deregulation. How did

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<v Speaker 2>that affect your perspective?

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<v Speaker 4>You know, I didn't think a ton about technology at

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<v Speaker 4>that time. That's sort of been a later addition to

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<v Speaker 4>the work that I do. But the broader themes of

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<v Speaker 4>financial innovation, regulation, deregulation, you know, I see the value

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<v Speaker 4>in financial stability regulation in particular. So financial stability regulation

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<v Speaker 4>are the rules that are supposed to prevent financial crises,

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<v Speaker 4>and they work often sort of hand in hand with

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<v Speaker 4>investor protection regulations, but they also aim to do something differently.

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<v Speaker 4>And part of the challenge when you're trying to prevent

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<v Speaker 4>a financial crisis is this silo mentality where people just

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<v Speaker 4>think about their own little piece of the world, and Okay,

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<v Speaker 4>we can deregulate our little piece and we don't won't

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<v Speaker 4>think about the flow on consequences and what incentives it'll create,

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<v Speaker 4>et cetera. And so you know, my real takeaway was

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<v Speaker 4>always to have the most holistic perspective possible to break

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<v Speaker 4>down that silo mentality, and later in my career that

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<v Speaker 4>meant learning about the new technologies that are sort of

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<v Speaker 4>infiltrating the financial system.

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<v Speaker 2>So I want to talk about technology and I want

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<v Speaker 2>to talk about fintech dystopia. But there is a quote

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<v Speaker 2>from within that that applies directly to what you're describing

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<v Speaker 2>with stability, which was, it's the economic precarity. Stupid paraphrasing

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<v Speaker 2>James Carville'll tell us a little bit about the economic precarity.

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<v Speaker 4>Yeah, So, I think a mistake that we have made

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<v Speaker 4>collectively in recent years is to say, well, look, the

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<v Speaker 4>economy's doing well, everything's fine, and that really doesn't mesh

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<v Speaker 4>with many people's experience of the economy. So it used

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<v Speaker 4>to be, well, probably not always the case, but closer

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<v Speaker 4>to the case in the Clinton years, where there was

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<v Speaker 4>less economic inequality than there is now, that you could

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<v Speaker 4>sort of say, a rising tide lifts ale boats. But

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<v Speaker 4>now what we're seeing is over half of Americans live

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<v Speaker 4>from paycheck to paycheck, even in a good economy, right,

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<v Speaker 4>And so in that kind of circumstance, the financial systems,

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<v Speaker 4>not the economy, aren't working for everybody. And so I

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<v Speaker 4>think when we think about what we're trying to achieve

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<v Speaker 4>with our financial system, it should be that we are

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<v Speaker 4>trying to find a solution to this economic precarity. And

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<v Speaker 4>also that begs the question of whether the financial system

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<v Speaker 4>and investing is in actually the way to get there.

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<v Speaker 4>And maybe we need broader public policies to address that

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<v Speaker 4>economic precarity so that no one or at least not

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<v Speaker 4>half of the population are just scraping by.

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<v Speaker 2>So we just passed a new set of laws that

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<v Speaker 2>include thousand dollars accounts for newborns is not going to

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<v Speaker 2>solve financial inequality, or these kids, by the time they're thirty,

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<v Speaker 2>they'll be worth millions.

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<v Speaker 4>I think you might need to offset against the people

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<v Speaker 4>losing their health insurance subsidies. I don't think that one

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<v Speaker 4>thousand dollars is going to go very far right.

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<v Speaker 2>And what's fascinating is watching just a parade of billionaires

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<v Speaker 2>come out and no, no, we need to supplement that

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<v Speaker 2>thousand dollars. So first it was Michael Dell, and then

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<v Speaker 2>it was Ray Dalio. I don't know who else is

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<v Speaker 2>going to step forward, but it appears, hey, we're not

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<v Speaker 2>really paying a whole lot in axes, we might as

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<v Speaker 2>well throw some money at some babies. That seems to

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<v Speaker 2>be the philosophy.

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<v Speaker 4>Yeah, I mean, I don't love philanthropy in that sense.

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<v Speaker 4>Supplementing democratically sort of elected policies. You know, it gives

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<v Speaker 4>a lot of sort of discretion and power to people

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<v Speaker 4>as to how they want to distribute their large ss.

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<v Speaker 3>And to some degree that's fine.

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<v Speaker 4>But again, when we have a society where half of

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<v Speaker 4>the population is barely scraping by, I don't think their

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<v Speaker 4>liveability should be predicated on the whims of billionaire large s.

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<v Speaker 2>Fair enough, You talked about technological innovation in your book.

0:13:40.679 --> 0:13:46.480
<v Speaker 2>You argue that that is financial technology innovation is driven

0:13:46.840 --> 0:13:52.400
<v Speaker 2>largely by legal design rather than technical brilliance. Explain that

0:13:52.480 --> 0:13:55.800
<v Speaker 2>a little bit. What is it about fintech that seems

0:13:55.840 --> 0:13:59.920
<v Speaker 2>to be working the perspective from an attorney rather than

0:14:00.120 --> 0:14:00.760
<v Speaker 2>an engineer.

0:14:01.280 --> 0:14:03.599
<v Speaker 4>Yeah, so this was something that, as I said, I

0:14:03.640 --> 0:14:05.680
<v Speaker 4>came to a little later in my career. I think

0:14:05.720 --> 0:14:08.199
<v Speaker 4>earlier in my career when I first started looking at fintech,

0:14:08.240 --> 0:14:13.320
<v Speaker 4>I generally accepted the party line, this technology is revolutionary,

0:14:13.360 --> 0:14:16.760
<v Speaker 4>this technology is making things more efficient, this technology is

0:14:16.800 --> 0:14:20.880
<v Speaker 4>fixing things. And then I realized that the people who

0:14:20.920 --> 0:14:22.960
<v Speaker 4>were saying that had something to sell, and I probably

0:14:23.000 --> 0:14:25.720
<v Speaker 4>should learn a little more about the technology, because if

0:14:25.760 --> 0:14:28.560
<v Speaker 4>you want to work on financial regulatory policy now, you

0:14:28.640 --> 0:14:31.920
<v Speaker 4>need to understand the extent to which the technology actually

0:14:32.000 --> 0:14:35.520
<v Speaker 4>lives up to what it's claimed it can do.

0:14:36.280 --> 0:14:38.240
<v Speaker 3>And so sort of my first sort of.

0:14:38.160 --> 0:14:41.560
<v Speaker 4>Foray into this was I've looked really in detail at blockchain,

0:14:41.600 --> 0:14:45.280
<v Speaker 4>which is truly, frankly a terrible technology. It's a clunky

0:14:45.360 --> 0:14:50.680
<v Speaker 4>database and it's not something you would ever choose for

0:14:51.000 --> 0:14:54.520
<v Speaker 4>any kind of financial market infrastructure, but for the fact

0:14:54.880 --> 0:14:57.520
<v Speaker 4>that it's been very easy to convince regulators not to

0:14:57.520 --> 0:15:00.880
<v Speaker 4>regulate it, and so the value add comes from crypto

0:15:00.920 --> 0:15:05.000
<v Speaker 4>has never been blockchain technology as a technology. It's been

0:15:05.320 --> 0:15:09.920
<v Speaker 4>whipping up stories about that technology that have justified avoiding regulation.

0:15:10.600 --> 0:15:12.760
<v Speaker 3>And we see it in other instances as well.

0:15:12.800 --> 0:15:18.640
<v Speaker 4>You know, there are fintech lending that is replicating some

0:15:18.800 --> 0:15:21.880
<v Speaker 4>of the predatory payday lending that we've seen before.

0:15:22.680 --> 0:15:25.360
<v Speaker 2>So buy now, pay later sort of financing or.

0:15:25.400 --> 0:15:29.080
<v Speaker 4>Well, payday loans have been around a lot longer than that.

0:15:29.680 --> 0:15:31.360
<v Speaker 4>This is sort of a sort of it's like a

0:15:31.440 --> 0:15:34.240
<v Speaker 4>four hundred dollar loan that you get to bridge you

0:15:34.280 --> 0:15:38.760
<v Speaker 4>over till your next payday. And you know, there's been

0:15:38.800 --> 0:15:40.920
<v Speaker 4>a lot of predation in that market in some states

0:15:41.000 --> 0:15:43.680
<v Speaker 4>had banned those products essentially.

0:15:43.720 --> 0:15:46.520
<v Speaker 2>Do you think twenty nine percent interest is not fair?

0:15:46.840 --> 0:15:48.960
<v Speaker 2>You have a problem with that. We're just trying to

0:15:49.000 --> 0:15:50.080
<v Speaker 2>make a profit here.

0:15:50.240 --> 0:15:52.360
<v Speaker 3>Some of these interest rates are three hundred percent?

0:15:52.440 --> 0:15:55.840
<v Speaker 2>Get out. Yeah, that's insane. And what is New York

0:15:55.880 --> 0:15:57.960
<v Speaker 2>turned out? It like nineteen something.

0:15:58.280 --> 0:16:00.920
<v Speaker 3>I don't know about New York. Yeah, but but.

0:16:00.720 --> 0:16:04.960
<v Speaker 2>But normally, anything you know, mid double digits is thought

0:16:05.000 --> 0:16:08.440
<v Speaker 2>of as usurious. Three hundred percent is just next level.

0:16:08.560 --> 0:16:10.640
<v Speaker 4>Yeah, I mean it's not set as an interest rate

0:16:10.720 --> 0:16:13.120
<v Speaker 4>per se their fees, but once you actually convert that

0:16:13.200 --> 0:16:16.200
<v Speaker 4>into a paranum that can be in the hundreds of percentages.

0:16:16.240 --> 0:16:19.720
<v Speaker 4>And so that has always been a problem, and we've

0:16:19.720 --> 0:16:23.240
<v Speaker 4>had states act and then we've had new fintech lenders saying, well, actually,

0:16:23.240 --> 0:16:25.880
<v Speaker 4>we're different from payday lenders because we use AI to

0:16:25.920 --> 0:16:27.000
<v Speaker 4>screen our borrowers and.

0:16:26.960 --> 0:16:28.400
<v Speaker 3>So you should treat us differently.

0:16:29.520 --> 0:16:32.760
<v Speaker 4>And yet they're charging interest rates that are equivalent to

0:16:32.800 --> 0:16:35.280
<v Speaker 4>what payday lenders do. And then you mentioned by now

0:16:35.400 --> 0:16:38.840
<v Speaker 4>pay later. Again they say, well, we're not even extending loans.

0:16:39.120 --> 0:16:40.840
<v Speaker 4>This isn't a loan at all, so we shouldn't have

0:16:40.880 --> 0:16:45.440
<v Speaker 4>to comply with the laws around lending, around disclosure, around

0:16:45.480 --> 0:16:46.240
<v Speaker 4>that kind of thing.

0:16:46.280 --> 0:16:49.160
<v Speaker 2>How is that not alone? You're buying a product that

0:16:49.200 --> 0:16:53.240
<v Speaker 2>you don't have money for someone is paying for that.

0:16:53.520 --> 0:16:54.520
<v Speaker 2>Isn't that alone?

0:16:54.800 --> 0:16:55.360
<v Speaker 3>I would say?

0:16:55.400 --> 0:16:59.280
<v Speaker 2>So okay, but but what what's the counter to This

0:16:59.360 --> 0:17:03.880
<v Speaker 2>isn't a loan, This is a free layaway essentially?

0:17:03.960 --> 0:17:06.639
<v Speaker 3>Yeah, no, you know, we don't charge interest.

0:17:06.840 --> 0:17:08.920
<v Speaker 4>There are late fees if you don't pay, but that's

0:17:08.960 --> 0:17:10.240
<v Speaker 4>not the same as interest.

0:17:10.480 --> 0:17:14.479
<v Speaker 2>You know, that's there like we bought a couch no

0:17:14.600 --> 0:17:17.320
<v Speaker 2>interest for six months, so as long as you pay

0:17:17.359 --> 0:17:20.320
<v Speaker 2>it off within six months. That sort of thing seems

0:17:20.359 --> 0:17:21.960
<v Speaker 2>to be interest free.

0:17:22.320 --> 0:17:23.960
<v Speaker 4>But then when you look at the business model and

0:17:24.000 --> 0:17:26.159
<v Speaker 4>you see that a significant chunk of the people are

0:17:26.400 --> 0:17:28.080
<v Speaker 4>incurring these late fees.

0:17:28.040 --> 0:17:32.159
<v Speaker 2>Well, that's their fault, isn't it. That's human nature. You

0:17:32.240 --> 0:17:36.199
<v Speaker 2>can't blame us if we take advantage of people procrastinating

0:17:36.200 --> 0:17:38.640
<v Speaker 2>and not paying off their fees in time.

0:17:38.720 --> 0:17:40.960
<v Speaker 4>Well, it's not that they're procrastinating, it's that they're choosing

0:17:41.040 --> 0:17:43.200
<v Speaker 4>between paying rent or paying this off.

0:17:43.240 --> 0:17:45.760
<v Speaker 2>So this is yeah, medicine exactly.

0:17:45.880 --> 0:17:49.040
<v Speaker 4>So this is coming back to it's the economic procarity

0:17:49.080 --> 0:17:52.439
<v Speaker 4>stupid right. If people are in these dire straits, we

0:17:52.480 --> 0:17:55.199
<v Speaker 4>should not be surprised that fintech firms are trying to

0:17:55.200 --> 0:17:58.400
<v Speaker 4>capitalize on that and profit from it, which is why

0:17:58.440 --> 0:18:03.240
<v Speaker 4>I think, you know, what we need are some kind

0:18:03.320 --> 0:18:07.480
<v Speaker 4>of public safety nets to sort of make and to

0:18:07.520 --> 0:18:10.480
<v Speaker 4>hire minimum wage and hire social security benefits.

0:18:10.640 --> 0:18:14.040
<v Speaker 2>Coming up, we continue our conversation with Professor Hillary Allen

0:18:14.640 --> 0:18:19.960
<v Speaker 2>discussing her new book, Fintech Dystopia, a summer beat read

0:18:20.160 --> 0:18:25.000
<v Speaker 2>about Silicon Valley and how it's ruining things. I'm Barry Ridults.

0:18:25.040 --> 0:18:42.560
<v Speaker 2>You're listening to Masters in Business on Bloomberg Radio. I'm

0:18:42.600 --> 0:18:46.720
<v Speaker 2>Barry Ridults. You're listening to Masters in Business on Bloomberg Radio.

0:18:47.000 --> 0:18:50.159
<v Speaker 2>My extra special guest this week is Hillary Allen. She

0:18:50.320 --> 0:18:55.320
<v Speaker 2>teaches at the American University Washington College of Law in Washington,

0:18:55.400 --> 0:19:00.159
<v Speaker 2>d C. Where she specializes in regulation of financial and

0:19:00.240 --> 0:19:06.520
<v Speaker 2>technology laws. So let's talk about the Digital Only book

0:19:06.840 --> 0:19:15.040
<v Speaker 2>Ironic Right, Fintech Dystopia, where you describe modern financial technology

0:19:15.760 --> 0:19:21.399
<v Speaker 2>simply as Silicon Valley ruining things. Explain that seems like

0:19:21.440 --> 0:19:25.240
<v Speaker 2>an extreme example, and give us some examples of how

0:19:25.320 --> 0:19:26.879
<v Speaker 2>Silicon Valley is ruining things.

0:19:27.080 --> 0:19:29.760
<v Speaker 4>So, just to be clear, not all modern technology is

0:19:29.880 --> 0:19:33.840
<v Speaker 4>ruining things. There's a particular business model approach that I

0:19:33.920 --> 0:19:37.440
<v Speaker 4>think is ruining things, and that is derivative in many

0:19:37.440 --> 0:19:40.840
<v Speaker 4>ways of the venture capital model in Silicon adventure capital

0:19:41.280 --> 0:19:44.840
<v Speaker 4>just venture, Okay, yeah, venture capital model in Silicon Valley.

0:19:44.880 --> 0:19:49.320
<v Speaker 4>So it's sort of got thischene around it that's iconoclastic,

0:19:49.400 --> 0:19:54.000
<v Speaker 4>and they make bets on these moonshots that'll save all

0:19:54.040 --> 0:19:57.119
<v Speaker 4>of humanity and YadA, YadA YadA. But in fact it's

0:19:57.280 --> 0:20:02.400
<v Speaker 4>pretty well established as a play at this point. You know,

0:20:02.920 --> 0:20:05.360
<v Speaker 4>there's a lot of subsidies that go to venture capital

0:20:05.800 --> 0:20:10.679
<v Speaker 4>by virtue of their having access to pension funds by

0:20:10.760 --> 0:20:13.560
<v Speaker 4>virtue of sort of capital gains taxation, and so they've

0:20:13.560 --> 0:20:16.400
<v Speaker 4>got sort of and especially in low interest rate environments,

0:20:16.400 --> 0:20:18.200
<v Speaker 4>they attract a lot of money, so they have pretty

0:20:18.280 --> 0:20:21.360
<v Speaker 4>cheap money available to them. And then they go shopping.

0:20:22.160 --> 0:20:25.520
<v Speaker 4>And what they go shopping for is not the iconoclastic

0:20:25.680 --> 0:20:28.720
<v Speaker 4>sort of outlier that we think of, but what we've

0:20:28.760 --> 0:20:31.360
<v Speaker 4>seen and what the evidence shows is that they tend

0:20:31.359 --> 0:20:32.880
<v Speaker 4>to go shopping for the same things that their friends

0:20:32.880 --> 0:20:35.320
<v Speaker 4>are going shopping for, and they go shopping for the

0:20:35.359 --> 0:20:37.720
<v Speaker 4>businesses that their friends have developed. And so there's this

0:20:37.800 --> 0:20:41.840
<v Speaker 4>sort of very sort of insular mentality in what they're

0:20:41.840 --> 0:20:44.280
<v Speaker 4>looking for. And they're also looking for something that they

0:20:44.359 --> 0:20:48.159
<v Speaker 4>can cash out of very quickly, because you know, the

0:20:48.200 --> 0:20:51.639
<v Speaker 4>average venture capital fund has a ten year, sometimes twelve,

0:20:51.640 --> 0:20:53.080
<v Speaker 4>but usually ten year duration.

0:20:54.040 --> 0:20:55.440
<v Speaker 3>That's really not that much.

0:20:55.240 --> 0:20:58.480
<v Speaker 4>Time to find something to invest in, have it grow,

0:20:58.560 --> 0:21:01.400
<v Speaker 4>and then cash out, and so they're not looking for

0:21:01.480 --> 0:21:05.000
<v Speaker 4>things that are going to take decades to develop. They're

0:21:05.040 --> 0:21:07.360
<v Speaker 4>looking for things that they can grow quickly and get

0:21:07.400 --> 0:21:09.200
<v Speaker 4>out of in about five or six years.

0:21:09.240 --> 0:21:11.080
<v Speaker 2>So give us a few examples. What do you think

0:21:11.160 --> 0:21:15.640
<v Speaker 2>is the sort of you know, not adding a whole

0:21:15.680 --> 0:21:18.439
<v Speaker 2>lot of value venture backed businesses.

0:21:19.080 --> 0:21:23.160
<v Speaker 4>So not intentionally, but it just turned out that way.

0:21:23.160 --> 0:21:26.679
<v Speaker 4>As I wrote this book, almost every fintech business I

0:21:26.760 --> 0:21:29.359
<v Speaker 4>looked at had been funded by Andresen Horowitz.

0:21:29.920 --> 0:21:31.560
<v Speaker 3>They had been sort of the lead. So you know,

0:21:31.600 --> 0:21:34.920
<v Speaker 3>they they're.

0:21:33.600 --> 0:21:38.960
<v Speaker 2>The hot VC these days. I've full disclosure, I've interviewed Andresen,

0:21:39.040 --> 0:21:42.720
<v Speaker 2>I've interviewed Kapor, I've interviewed Horowitz. So I've sat with

0:21:42.800 --> 0:21:45.919
<v Speaker 2>them and talked about a lot of their businesses. But

0:21:46.280 --> 0:21:49.800
<v Speaker 2>the past few years they've been very front and center,

0:21:50.000 --> 0:21:50.640
<v Speaker 2>very active.

0:21:50.800 --> 0:21:54.240
<v Speaker 4>Yeah, no, and they sort of they have their as

0:21:54.240 --> 0:21:56.320
<v Speaker 4>a markete name. As you said, they're the hot vcs.

0:21:56.720 --> 0:21:59.679
<v Speaker 4>Once they say they like something, they can basically attract

0:21:59.760 --> 0:22:03.760
<v Speaker 4>other venture capital to those businesses. And so they're essentially

0:22:03.800 --> 0:22:04.919
<v Speaker 4>taste makers.

0:22:05.359 --> 0:22:08.639
<v Speaker 2>Which which is fascinating you say that, because before that

0:22:08.680 --> 0:22:11.760
<v Speaker 2>it was Sequoia, Before that it was Kleina Perkins, Like

0:22:11.840 --> 0:22:15.440
<v Speaker 2>you work your way, there's a hot firm for a decade.

0:22:15.480 --> 0:22:17.600
<v Speaker 2>The nineties had it, the two thousands out at the

0:22:17.640 --> 0:22:21.480
<v Speaker 2>twenty ten's had it. They tend not to maintain that

0:22:21.560 --> 0:22:26.200
<v Speaker 2>position forever. Although to Andres and Horwitz's credit, they've been

0:22:26.240 --> 0:22:28.640
<v Speaker 2>the it girl for a good good run so far.

0:22:29.520 --> 0:22:32.640
<v Speaker 4>Yeah, I mean I wouldn't say that that's a good thing,

0:22:32.840 --> 0:22:36.920
<v Speaker 4>but yeah, so you know, they they basically built the

0:22:36.960 --> 0:22:40.679
<v Speaker 4>crypto industry. So you know, the narrative around crypto is

0:22:40.680 --> 0:22:45.879
<v Speaker 4>that is this organic sort of community of cyberpunks and libertarians,

0:22:45.880 --> 0:22:50.679
<v Speaker 4>but they really built that industry. They were early investors

0:22:50.680 --> 0:22:53.560
<v Speaker 4>in coinbase, that was their first crypto investment, and then

0:22:53.640 --> 0:22:55.720
<v Speaker 4>they have plowed a lot of money into the industry

0:22:55.720 --> 0:22:57.680
<v Speaker 4>and it's sort of their seal of approval has been

0:22:58.040 --> 0:23:01.119
<v Speaker 4>what's attracted people to it. And you know, part of

0:23:01.119 --> 0:23:03.920
<v Speaker 4>what Andreeson Horowitz does is it doesn't just invest, it's

0:23:04.680 --> 0:23:08.520
<v Speaker 4>does aggressive marketing campaigns for the things that they've invested in,

0:23:08.600 --> 0:23:12.040
<v Speaker 4>aggressive lobbying. So they've really been at the forefront for

0:23:12.440 --> 0:23:18.960
<v Speaker 4>trying to get the laws changed to accommodate their business models. So, yeah,

0:23:18.960 --> 0:23:23.200
<v Speaker 4>there's there's crypto, but they've also been at the sort

0:23:23.200 --> 0:23:24.120
<v Speaker 4>of the forefront of.

0:23:25.920 --> 0:23:27.399
<v Speaker 3>I always there's one of the do not pace. I

0:23:27.400 --> 0:23:29.840
<v Speaker 3>think it's a firm that's theirs. I always get get

0:23:29.840 --> 0:23:30.360
<v Speaker 3>mixed up.

0:23:31.640 --> 0:23:36.920
<v Speaker 4>They they were very early investors in Robin Hood, the

0:23:37.480 --> 0:23:39.320
<v Speaker 4>fintech trading stock app.

0:23:39.160 --> 0:23:41.879
<v Speaker 2>Which originally started out as a stock app and then

0:23:41.920 --> 0:23:44.919
<v Speaker 2>it became eventually a crypto app, and now it's a

0:23:45.480 --> 0:23:46.760
<v Speaker 2>been on anything app.

0:23:47.000 --> 0:23:51.280
<v Speaker 4>Yeah, and again that is a company that, by the

0:23:51.320 --> 0:23:54.679
<v Speaker 4>time at iPod, had wracked up all kinds of fines

0:23:54.720 --> 0:23:57.920
<v Speaker 4>from the SEC and FINRA because it was violating laws

0:23:57.960 --> 0:23:58.960
<v Speaker 4>left right and center.

0:23:59.680 --> 0:24:00.439
<v Speaker 3>You know, it's.

0:24:01.880 --> 0:24:05.919
<v Speaker 4>It was one of the first to offer commission for brokerage.

0:24:06.600 --> 0:24:10.359
<v Speaker 4>But as the chestnut goes, if you're not paying for

0:24:10.440 --> 0:24:12.960
<v Speaker 4>the product, you are the product. And it makes most

0:24:12.960 --> 0:24:15.159
<v Speaker 4>of its money from payment for order flow and was

0:24:15.160 --> 0:24:18.960
<v Speaker 4>not clear with its customers in the early years about

0:24:19.000 --> 0:24:21.920
<v Speaker 4>that how that was going on, and how that they

0:24:21.920 --> 0:24:24.520
<v Speaker 4>get paid a lot more for your options trades than

0:24:24.560 --> 0:24:30.000
<v Speaker 4>your regular stock trades because more profitable, Yeah, more profitable

0:24:30.080 --> 0:24:32.760
<v Speaker 4>for the citadel securities of this world to take those

0:24:33.200 --> 0:24:33.840
<v Speaker 4>Yeah huh.

0:24:33.960 --> 0:24:38.240
<v Speaker 2>Really kind of interesting. And yet at the same time,

0:24:38.359 --> 0:24:42.360
<v Speaker 2>you have a chapter in your book Silicon Valley Welfare

0:24:42.480 --> 0:24:46.840
<v Speaker 2>Queen explain. I thought that these are you know, Ain

0:24:46.960 --> 0:24:52.320
<v Speaker 2>Randian libertarians that don't want to suckle off the teat

0:24:52.359 --> 0:24:55.640
<v Speaker 2>of big government, and these are people that are builders

0:24:55.680 --> 0:25:00.760
<v Speaker 2>and self made people. You're arguing not so much.

0:25:01.240 --> 0:25:03.720
<v Speaker 4>Well, they don't want us suckling on the teat of

0:25:03.760 --> 0:25:06.040
<v Speaker 4>the state because they might have to fund that with taxes.

0:25:06.119 --> 0:25:08.760
<v Speaker 3>But they're okay suckling themselves, right, So.

0:25:09.400 --> 0:25:12.840
<v Speaker 2>Give us a few examples what companies started out as

0:25:13.359 --> 0:25:14.240
<v Speaker 2>welfare queens.

0:25:14.680 --> 0:25:18.879
<v Speaker 4>Well, I mean, again, the whole story of tech, the

0:25:19.400 --> 0:25:23.960
<v Speaker 4>Internet and smartphone boom is very much based on technologies

0:25:24.000 --> 0:25:24.680
<v Speaker 4>developed by.

0:25:24.600 --> 0:25:27.400
<v Speaker 3>The government, DARPA and the whole Internet exactly.

0:25:27.600 --> 0:25:30.359
<v Speaker 4>And you know, and I think if you look at

0:25:30.400 --> 0:25:33.080
<v Speaker 4>the iPhone, a lot of the individual technologies that went

0:25:33.119 --> 0:25:33.880
<v Speaker 4>into that again.

0:25:33.800 --> 0:25:36.840
<v Speaker 2>Came everything with microwaves comes out of NASA, right.

0:25:37.240 --> 0:25:41.399
<v Speaker 4>So you know, first of all, this entirely self made

0:25:41.480 --> 0:25:45.760
<v Speaker 4>story falls apart right there, because, as I mentioned earlier,

0:25:46.119 --> 0:25:48.719
<v Speaker 4>if you've only got six years to turn around to technology,

0:25:48.760 --> 0:25:52.800
<v Speaker 4>you're not really investing in prototypes, in thinking really hard

0:25:52.840 --> 0:25:55.600
<v Speaker 4>about physical hardware and how that works. You're really looking

0:25:55.640 --> 0:25:58.439
<v Speaker 4>for a software thing that you can gin up pretty quickly.

0:25:58.880 --> 0:26:02.679
<v Speaker 4>And so the really low long term investment comes from

0:26:02.960 --> 0:26:06.639
<v Speaker 4>the state and has always done, and then it's commercialized,

0:26:07.320 --> 0:26:09.360
<v Speaker 4>you know, And I think that that sort of has

0:26:09.440 --> 0:26:13.080
<v Speaker 4>worked well, except that you get to the point where

0:26:12.520 --> 0:26:16.040
<v Speaker 4>the venture capitalists who are commercializing are saying, well, we

0:26:16.040 --> 0:26:18.160
<v Speaker 4>shouldn't have to pay any taxes to fund the state

0:26:18.280 --> 0:26:21.720
<v Speaker 4>that develops these technologies. They also benefit, as they said,

0:26:21.840 --> 0:26:28.560
<v Speaker 4>enormously from laws that they lobbied for in the late seventies.

0:26:28.640 --> 0:26:33.720
<v Speaker 4>I believe changes to ARISA, which allowed pension funds to

0:26:33.800 --> 0:26:37.520
<v Speaker 4>venture to invest in venture capital, basically didn't exist before.

0:26:37.800 --> 0:26:40.800
<v Speaker 4>And at that same period they were lobbying for changes

0:26:40.840 --> 0:26:41.920
<v Speaker 4>to the capital gains taxes.

0:26:42.040 --> 0:26:45.879
<v Speaker 2>Well, you have the carried interest loophole exact continues to persist.

0:26:47.000 --> 0:26:50.040
<v Speaker 2>I'm drawing a blank on the author's name. There's a

0:26:50.119 --> 0:26:55.680
<v Speaker 2>book Americana four hundred Years of Technological Innovation that makes

0:26:55.720 --> 0:26:59.159
<v Speaker 2>the argument you're making. Go back to the telegraph funded

0:26:59.200 --> 0:27:04.080
<v Speaker 2>by Congress, go to railroad. Like every major technological innovation

0:27:05.080 --> 0:27:09.199
<v Speaker 2>or most major innovations got seeded with the government, and

0:27:09.240 --> 0:27:14.080
<v Speaker 2>then eventually the private sector takes over. And what has

0:27:14.200 --> 0:27:18.439
<v Speaker 2>changed in recent years is that public private partnership seems

0:27:18.480 --> 0:27:19.640
<v Speaker 2>to have broken.

0:27:20.359 --> 0:27:20.600
<v Speaker 3>Yeah.

0:27:20.640 --> 0:27:22.359
<v Speaker 4>Actually so, the book I really like on this is

0:27:22.400 --> 0:27:24.200
<v Speaker 4>Margaret O'Mara's book, The Code Who Does?

0:27:24.400 --> 0:27:28.960
<v Speaker 3>She does a great history of Silicon Valley, and yeah.

0:27:28.800 --> 0:27:35.080
<v Speaker 4>I think the the understanding that there was a quidber

0:27:35.240 --> 0:27:42.200
<v Speaker 4>quo has sort of fallen away. So always the private

0:27:42.200 --> 0:27:46.040
<v Speaker 4>sector has commercialized this technology. But if we have an

0:27:46.119 --> 0:27:50.600
<v Speaker 4>unwillingness to sort of pay any taxes, if we have

0:27:50.640 --> 0:27:55.080
<v Speaker 4>an unwillingness to invest in government capacity to invest in

0:27:55.200 --> 0:27:57.879
<v Speaker 4>universities where so much of this stuff is developed, you know,

0:27:57.960 --> 0:28:02.160
<v Speaker 4>you take Mark Andresen. He he got his start because

0:28:02.200 --> 0:28:05.919
<v Speaker 4>he was happy or sorry, lucky enough to be a

0:28:06.000 --> 0:28:08.080
<v Speaker 4>student at the University of Illinois at the time where

0:28:08.119 --> 0:28:11.160
<v Speaker 4>they had a special grant to look at the beginnings

0:28:11.200 --> 0:28:14.239
<v Speaker 4>of the internet. He worked on a team there that

0:28:14.320 --> 0:28:18.399
<v Speaker 4>developed a prototype internet browser, and then he went into

0:28:18.440 --> 0:28:20.680
<v Speaker 4>the private sector and they let him build one from

0:28:20.680 --> 0:28:22.760
<v Speaker 4>the private sector, and that was Netscape, and that's how

0:28:22.800 --> 0:28:24.879
<v Speaker 4>he made his fortune. So he was sort of in

0:28:24.920 --> 0:28:27.320
<v Speaker 4>the right place at the right time to take advantage

0:28:27.560 --> 0:28:32.120
<v Speaker 4>of public investment in this kind of thing. And yet

0:28:32.200 --> 0:28:34.080
<v Speaker 4>this is the kind of thing that we're seeing that

0:28:34.119 --> 0:28:36.080
<v Speaker 4>these leading venture capitalists want to shut down.

0:28:36.800 --> 0:28:42.800
<v Speaker 2>Really interesting, since we've been talking about books, you've criticized Abundance,

0:28:42.920 --> 0:28:47.000
<v Speaker 2>which is by Derek Thompson and as recline as the

0:28:47.040 --> 0:28:50.560
<v Speaker 2>whole concept of abundance is sort of a sexy way

0:28:50.560 --> 0:28:54.360
<v Speaker 2>to make excuses for techno solutions to tell us a

0:28:54.400 --> 0:28:55.120
<v Speaker 2>little bit about that.

0:28:55.480 --> 0:28:58.320
<v Speaker 4>Yeah, so this is something I get into a lot

0:28:58.320 --> 0:29:00.880
<v Speaker 4>of conversations with people these days because I think there

0:29:00.920 --> 0:29:04.160
<v Speaker 4>are some elements of the original sort of abundance agenda

0:29:04.200 --> 0:29:06.720
<v Speaker 4>that are very appealing to people in terms of, for example,

0:29:06.760 --> 0:29:10.400
<v Speaker 4>increasing housing capacity. And I do think that that is

0:29:10.440 --> 0:29:12.920
<v Speaker 4>something that needs to happen and has to be done

0:29:12.920 --> 0:29:16.760
<v Speaker 4>in the right way. But if you look at who

0:29:16.840 --> 0:29:20.280
<v Speaker 4>is funding the abundance movement, they have conferences, et cetera.

0:29:20.440 --> 0:29:23.520
<v Speaker 4>It is Andreesan Horowitz and other people from Silicon Valley,

0:29:24.080 --> 0:29:30.080
<v Speaker 4>and it seems to be this attempt to essentially put

0:29:30.520 --> 0:29:36.160
<v Speaker 4>a happier face on the deregulatory project that Silicon Valley

0:29:36.200 --> 0:29:38.680
<v Speaker 4>is looking for, to sort of make it seem kinder, gentler,

0:29:38.720 --> 0:29:42.240
<v Speaker 4>and more progressive, because the abundance movement is sort of

0:29:42.280 --> 0:29:45.120
<v Speaker 4>in a nutshell, is supposed to be, well, we shouldn't

0:29:45.120 --> 0:29:48.040
<v Speaker 4>have artificial scarcity, we should build more of what we

0:29:48.120 --> 0:29:50.640
<v Speaker 4>want to do, that we should take away some of

0:29:50.640 --> 0:29:52.960
<v Speaker 4>the roadblocks that are getting in our own way. And

0:29:53.000 --> 0:29:54.480
<v Speaker 4>when you say it like that, it's sort of hard

0:29:54.520 --> 0:29:55.840
<v Speaker 4>to disagree with, Well.

0:29:55.720 --> 0:30:00.760
<v Speaker 2>That works for housing, you have nimbiism with housing, but

0:30:00.880 --> 0:30:03.479
<v Speaker 2>when you take that away, it also means you're going

0:30:03.560 --> 0:30:08.000
<v Speaker 2>to end up with perhaps high rises or multi family

0:30:08.080 --> 0:30:11.080
<v Speaker 2>units in a suburban area that some people don't want

0:30:11.120 --> 0:30:13.880
<v Speaker 2>in their neighborhood. There's always a series of trade offs

0:30:13.880 --> 0:30:16.520
<v Speaker 2>with people who are already there versus people want to

0:30:16.560 --> 0:30:21.400
<v Speaker 2>get there. What is the specific problem with abundance as

0:30:21.440 --> 0:30:26.640
<v Speaker 2>a philosophy towards building more of what we want as

0:30:26.680 --> 0:30:27.920
<v Speaker 2>a society.

0:30:28.200 --> 0:30:30.920
<v Speaker 4>Because it's who gets to decide what more of what

0:30:30.960 --> 0:30:33.320
<v Speaker 4>we want is. And if you look at who's funding

0:30:33.320 --> 0:30:37.040
<v Speaker 4>the abundance agenda, it is the billionaires and the tech elite.

0:30:37.400 --> 0:30:40.280
<v Speaker 4>And these are people who have really shown that they

0:30:40.320 --> 0:30:43.520
<v Speaker 4>are quite willing to run roughshod over regulations that are

0:30:43.520 --> 0:30:46.479
<v Speaker 4>there to protect the public from harm if that enables

0:30:46.480 --> 0:30:50.240
<v Speaker 4>them to profit. And so I am just skeptical that

0:30:50.320 --> 0:30:53.720
<v Speaker 4>a movement that is funded by these people is really

0:30:53.960 --> 0:30:57.000
<v Speaker 4>going to be prioritizing the kinds of projects that would

0:30:57.040 --> 0:31:00.640
<v Speaker 4>benefit the economically precarious. I think it's more likely that

0:31:00.640 --> 0:31:05.640
<v Speaker 4>there'll be benefiting themselves and will lose protections for people

0:31:05.680 --> 0:31:08.040
<v Speaker 4>with less voice that are currently in place.

0:31:08.600 --> 0:31:12.920
<v Speaker 2>So what sort of overhyped products do you think best

0:31:13.240 --> 0:31:18.240
<v Speaker 2>explain the problems with this approach, like what are these

0:31:18.280 --> 0:31:23.240
<v Speaker 2>companies putting out that either is a result of regulatory

0:31:23.280 --> 0:31:26.480
<v Speaker 2>capture or just don't do what they promise, Because you

0:31:26.520 --> 0:31:29.640
<v Speaker 2>would think that in the world of venture either your

0:31:29.680 --> 0:31:34.040
<v Speaker 2>product finds an audience, it finds a customer base, or

0:31:34.080 --> 0:31:36.600
<v Speaker 2>it doesn't and fails and that goes out of business.

0:31:37.240 --> 0:31:39.719
<v Speaker 4>Yeah, so that's sort of the perverted part of this

0:31:39.960 --> 0:31:42.560
<v Speaker 4>is that that market logic, like you know, survival of

0:31:42.560 --> 0:31:47.480
<v Speaker 4>the fittest, because of all the subsidies that benefit venture capital,

0:31:47.840 --> 0:31:49.800
<v Speaker 4>that doesn't really apply that logic anymore.

0:31:49.920 --> 0:31:51.800
<v Speaker 3>So, you know, give us an example Crypto.

0:31:52.560 --> 0:31:57.560
<v Speaker 4>Crypto should have died many times already, particularly it should

0:31:57.600 --> 0:31:59.920
<v Speaker 4>have died in twenty twenty two when we had the

0:32:00.160 --> 0:32:06.400
<v Speaker 4>crypto winter. At that time, particularly Andresen Horowitz. Crypto had

0:32:06.400 --> 0:32:09.600
<v Speaker 4>this huge war chest of funds that they had raised,

0:32:09.880 --> 0:32:12.480
<v Speaker 4>and they stopped investing in crypto startups at that point

0:32:12.520 --> 0:32:15.440
<v Speaker 4>because you know, everything was maribund. But what they started

0:32:15.520 --> 0:32:22.400
<v Speaker 4>using that money for was lobbying, political spending, and they

0:32:22.440 --> 0:32:26.400
<v Speaker 4>really worked very hard on members of Congress to essentially

0:32:26.520 --> 0:32:30.640
<v Speaker 4>create laws that would allow the crypto industry to keep

0:32:30.680 --> 0:32:33.920
<v Speaker 4>doing what they're doing, which was not allowed under the

0:32:34.240 --> 0:32:37.200
<v Speaker 4>securities laws as they were, so the whole business model

0:32:37.200 --> 0:32:41.520
<v Speaker 4>was regulatory arbitrage. They wanted laws that would sort of

0:32:41.520 --> 0:32:47.000
<v Speaker 4>give a patina of legitimacy and hopefully encourage institutional investment,

0:32:47.120 --> 0:32:52.239
<v Speaker 4>attract more money to the space, but not actually make

0:32:52.280 --> 0:32:56.360
<v Speaker 4>them have to. For example, like coinbase combines the functions

0:32:56.360 --> 0:32:59.120
<v Speaker 4>of a broker dealer and in exchange, that's not allowed

0:32:59.160 --> 0:32:59.920
<v Speaker 4>in securities.

0:33:00.040 --> 0:33:01.680
<v Speaker 3>You can see why. Therese all kinds of conflicts of

0:33:01.680 --> 0:33:02.880
<v Speaker 3>interests that coright.

0:33:02.520 --> 0:33:05.440
<v Speaker 2>Either you're in exchange or a brokerage firm, not both.

0:33:05.440 --> 0:33:07.840
<v Speaker 4>But in crypto you're both, right, And so if you

0:33:07.880 --> 0:33:11.760
<v Speaker 4>applied the securities laws to crypto, they would have to

0:33:11.760 --> 0:33:16.160
<v Speaker 4>disaggregate and basically would probably destroy their business model. So

0:33:16.280 --> 0:33:18.200
<v Speaker 4>what they wanted was a law that said, no, it's

0:33:18.240 --> 0:33:20.400
<v Speaker 4>fine crypto special you do both.

0:33:21.160 --> 0:33:23.240
<v Speaker 3>And so that really.

0:33:24.920 --> 0:33:28.960
<v Speaker 4>An industry that should have failed, is you know, again

0:33:29.520 --> 0:33:33.400
<v Speaker 4>rising being propped up all through this sort of aggressive

0:33:33.560 --> 0:33:38.840
<v Speaker 4>political spending. And I mean I've talked to people in

0:33:38.880 --> 0:33:41.480
<v Speaker 4>Congress off the record who have said that they've only

0:33:41.560 --> 0:33:44.280
<v Speaker 4>voted for these laws because they're afraid that if they

0:33:44.640 --> 0:33:49.400
<v Speaker 4>don't that crypto industries will target them.

0:33:49.440 --> 0:33:53.120
<v Speaker 2>What other products do you think are overhyped and fail

0:33:53.600 --> 0:33:55.360
<v Speaker 2>to satisfy their markets?

0:33:55.920 --> 0:33:57.840
<v Speaker 4>Well, right now, the obvious answer is a lot of

0:33:57.840 --> 0:34:02.920
<v Speaker 4>the AI products, the anything sort of. It's hard when

0:34:02.960 --> 0:34:05.080
<v Speaker 4>you talk about AI because it's such an umbrella term

0:34:05.120 --> 0:34:06.320
<v Speaker 4>for so many different things.

0:34:06.440 --> 0:34:09.800
<v Speaker 2>Right, I have perplexity on my phone. It does a

0:34:09.840 --> 0:34:12.600
<v Speaker 2>better job with search than Google. Does I get better

0:34:13.120 --> 0:34:17.920
<v Speaker 2>more comprehensive answers? What's wrong with AI?

0:34:18.920 --> 0:34:21.120
<v Speaker 4>Well, let me disaggregate it first, because there's plenty of

0:34:21.200 --> 0:34:23.719
<v Speaker 4>AI that there's nothing wrong with. Right, So, AI is

0:34:23.760 --> 0:34:25.800
<v Speaker 4>not intelligent in any way, shape or form. It's a

0:34:25.800 --> 0:34:28.440
<v Speaker 4>market that's a marketing term. What is it is is

0:34:28.560 --> 0:34:31.799
<v Speaker 4>it's an applied statistical engine. You have an algorithm that

0:34:32.040 --> 0:34:36.080
<v Speaker 4>looks for patterns in data and then acts accordingly. And

0:34:36.560 --> 0:34:38.960
<v Speaker 4>that kind of technology has been around for a long time.

0:34:39.000 --> 0:34:41.200
<v Speaker 4>It does like, for example, it's great for fraud detection

0:34:41.400 --> 0:34:44.200
<v Speaker 4>in a bank, for credit card transactions for example. So

0:34:44.200 --> 0:34:46.359
<v Speaker 4>that that's you know, that's that's an a plus use

0:34:46.400 --> 0:34:50.759
<v Speaker 4>of AI. But the last few years, everybody has been

0:34:51.080 --> 0:34:56.080
<v Speaker 4>pouring everything they've got into these LLM based tools, these

0:34:56.160 --> 0:34:58.000
<v Speaker 4>large language made model based tools.

0:34:58.080 --> 0:35:00.120
<v Speaker 3>So these are tools that can.

0:35:02.120 --> 0:35:05.759
<v Speaker 4>You know, old AI tools would just sort of classify something,

0:35:05.800 --> 0:35:08.920
<v Speaker 4>put something in a group, or predict something. But now

0:35:08.960 --> 0:35:14.120
<v Speaker 4>we have these tools that generate content, particularly text.

0:35:13.880 --> 0:35:17.120
<v Speaker 3>But also you know, video, music, et cetera.

0:35:17.680 --> 0:35:22.439
<v Speaker 4>And there are so many problems with this technology because

0:35:22.440 --> 0:35:26.960
<v Speaker 4>it's being sold as technology that can replace humans, right,

0:35:27.000 --> 0:35:31.719
<v Speaker 4>that can Basically it's worth throwing trillions of dollars into

0:35:31.719 --> 0:35:34.319
<v Speaker 4>this because of the productivity gains that we'll get by

0:35:34.400 --> 0:35:37.200
<v Speaker 4>firing all the humans. Essentially is the story they're telling.

0:35:38.920 --> 0:35:40.560
<v Speaker 4>First of all, that would be great.

0:35:40.680 --> 0:35:44.000
<v Speaker 2>Right, that's a problem in and of itself. The way

0:35:44.160 --> 0:35:51.480
<v Speaker 2>I have heard it described that's a little less catastrophic,

0:35:51.680 --> 0:35:55.480
<v Speaker 2>is this is going to make everybody more efficient, more productive.

0:35:55.840 --> 0:35:59.439
<v Speaker 2>It'll make companies more profitable, and we'll all be able

0:35:59.480 --> 0:36:03.600
<v Speaker 2>to do more with our existing stayoff than having to

0:36:03.680 --> 0:36:05.840
<v Speaker 2>go out and hire hundreds of more people.

0:36:06.320 --> 0:36:08.720
<v Speaker 3>But that is not true, sadly, that's the pitch line.

0:36:08.800 --> 0:36:12.880
<v Speaker 4>Right, So, these these tools make a lot of mistakes,

0:36:13.920 --> 0:36:17.000
<v Speaker 4>you know, even the very best ones make mistakes.

0:36:17.480 --> 0:36:19.360
<v Speaker 2>We've seen a lot of attorneys. You and I are

0:36:19.400 --> 0:36:21.799
<v Speaker 2>both attorneys. A lot of judges have been calling out

0:36:21.840 --> 0:36:26.440
<v Speaker 2>attorneys who theoretically are supposed to be doing this on

0:36:26.480 --> 0:36:29.560
<v Speaker 2>their own and instead are outsourcing it to AI and

0:36:29.600 --> 0:36:33.560
<v Speaker 2>all of its hallucinations and citing cases that don't exist.

0:36:34.600 --> 0:36:37.680
<v Speaker 2>The assumption is that's going to get better eventually, but

0:36:37.800 --> 0:36:38.240
<v Speaker 2>it won't.

0:36:38.360 --> 0:36:40.280
<v Speaker 3>So this is this is the problem, but it won't.

0:36:40.360 --> 0:36:41.000
<v Speaker 3>But it won't.

0:36:41.400 --> 0:36:45.880
<v Speaker 4>So these things are statistical engines, right, They they can't

0:36:46.080 --> 0:36:49.799
<v Speaker 4>check for accuracy because they don't understand accuracy as a concept. Right,

0:36:49.960 --> 0:36:55.240
<v Speaker 4>there's no reasoning it's it's literally the most statistically most

0:36:55.320 --> 0:36:57.600
<v Speaker 4>likely word after the last word I gave you is

0:36:57.640 --> 0:37:02.920
<v Speaker 4>this word. There is no way to make that care

0:37:03.480 --> 0:37:06.160
<v Speaker 4>about accuracy because it's it's not a it's not a

0:37:06.160 --> 0:37:11.160
<v Speaker 4>thinking machine. And I think there's increasing acceptance that these

0:37:11.440 --> 0:37:13.800
<v Speaker 4>models have hit a wall and they are as accurate

0:37:13.840 --> 0:37:14.799
<v Speaker 4>as they are going to get.

0:37:15.000 --> 0:37:20.000
<v Speaker 2>Really, yeah, that's kind of fascinating. My concern was, at

0:37:20.080 --> 0:37:23.360
<v Speaker 2>least on the legal side, Hey, you have this existing

0:37:23.440 --> 0:37:26.920
<v Speaker 2>body of work and all this research and brief writing

0:37:26.920 --> 0:37:29.880
<v Speaker 2>and arguments that exist as of now. If you're going

0:37:29.920 --> 0:37:31.800
<v Speaker 2>to replace people from doing that, are you're going to

0:37:31.960 --> 0:37:35.600
<v Speaker 2>freeze the state of legal knowledge at twenty twenty six

0:37:35.960 --> 0:37:38.799
<v Speaker 2>and five or ten years from now. If you don't

0:37:38.840 --> 0:37:41.640
<v Speaker 2>have people writing these briefs. You don't have people writing

0:37:41.719 --> 0:37:46.839
<v Speaker 2>these decisions. How can AI respond to what's taking place

0:37:46.840 --> 0:37:49.360
<v Speaker 2>over the past ten years if we don't have the

0:37:49.440 --> 0:37:51.440
<v Speaker 2>humans actually doing the grunt work.

0:37:51.960 --> 0:37:54.239
<v Speaker 4>Yeah, I mean there's a there's I mean, I think

0:37:54.440 --> 0:37:57.040
<v Speaker 4>those kinds of concerns have been expressed very much in

0:37:57.080 --> 0:37:58.120
<v Speaker 4>the cultural context.

0:37:58.200 --> 0:38:02.040
<v Speaker 3>You know, if we disincentivize.

0:38:01.200 --> 0:38:04.520
<v Speaker 4>Creators from making new music and new aret or is

0:38:04.560 --> 0:38:04.840
<v Speaker 4>this it?

0:38:05.000 --> 0:38:08.000
<v Speaker 3>Are we stuck with with what we've got with something

0:38:08.120 --> 0:38:08.720
<v Speaker 3>like the law.

0:38:08.960 --> 0:38:11.520
<v Speaker 4>One of the challenges is that you know, these large

0:38:11.560 --> 0:38:15.200
<v Speaker 4>language models, they don't get updated on a day to

0:38:15.280 --> 0:38:17.319
<v Speaker 4>day basis. You know, there's there's sort of a stop point,

0:38:17.360 --> 0:38:21.160
<v Speaker 4>and then they don't know well, they don't know anything

0:38:21.160 --> 0:38:24.279
<v Speaker 4>that they don't have the data from after a certain date,

0:38:24.360 --> 0:38:26.880
<v Speaker 4>So that that's a limitation. But the thing I worry

0:38:26.920 --> 0:38:32.239
<v Speaker 4>most about with the law is that you have to

0:38:32.400 --> 0:38:35.480
<v Speaker 4>be able to spot the hallucinations or you're going to

0:38:35.480 --> 0:38:37.680
<v Speaker 4>get yourself in very big trouble. And I think this

0:38:37.760 --> 0:38:40.520
<v Speaker 4>is true for a lot of different feels in and

0:38:40.560 --> 0:38:44.440
<v Speaker 4>this is again just to digress a little, why the

0:38:44.480 --> 0:38:48.719
<v Speaker 4>profitability narrative is not true right because the only place

0:38:48.719 --> 0:38:51.600
<v Speaker 4>where you can just put this content out and just

0:38:51.719 --> 0:38:54.799
<v Speaker 4>leave it there is in very low stakes places right

0:38:54.880 --> 0:38:57.880
<v Speaker 4>where it doesn't matter if you get something wrong. But

0:38:58.600 --> 0:39:01.200
<v Speaker 4>even you know, things that you wouldn't think are such

0:39:01.239 --> 0:39:02.919
<v Speaker 4>a big deal have proved to be quite high stake.

0:39:03.000 --> 0:39:06.440
<v Speaker 4>So Air Canada had a chat bot that told a

0:39:07.239 --> 0:39:11.240
<v Speaker 4>customer that if they wanted to apply for a bereavement

0:39:11.280 --> 0:39:14.440
<v Speaker 4>discount for a flight, they could do that after their

0:39:14.440 --> 0:39:17.440
<v Speaker 4>flight was done. Now that's not Air Canada's policy. You

0:39:17.480 --> 0:39:19.920
<v Speaker 4>had to do it in advance. And so this customer

0:39:20.080 --> 0:39:22.799
<v Speaker 4>tried to get their refund after the fact, and Air

0:39:22.840 --> 0:39:25.160
<v Speaker 4>Canada said, well, the chat buck got it wrong, too bad,

0:39:25.200 --> 0:39:26.920
<v Speaker 4>So sad for you, and.

0:39:26.960 --> 0:39:30.200
<v Speaker 2>It's your chat bought you own well responsible for it exactly,

0:39:30.280 --> 0:39:32.560
<v Speaker 2>yet not my mistake, your mistake exactly.

0:39:32.640 --> 0:39:35.560
<v Speaker 4>And so even in these sort of reasonably low stakes

0:39:35.600 --> 0:39:39.919
<v Speaker 4>customer service interactions, there's reason to be really worried about inaccuracy.

0:39:40.400 --> 0:39:43.320
<v Speaker 4>Now you start dialing up to things, to medical advice,

0:39:43.800 --> 0:39:48.439
<v Speaker 4>legal advice, you know, it's just you can't rely on them.

0:39:49.120 --> 0:39:51.520
<v Speaker 4>And I worry that we're putting people in a very

0:39:51.560 --> 0:39:55.280
<v Speaker 4>difficult position because it's a lot easier to get something

0:39:55.400 --> 0:39:57.719
<v Speaker 4>right when you write it yourself than it is to

0:39:57.760 --> 0:40:00.920
<v Speaker 4>find mistakes in something so some one else is put together.

0:40:01.280 --> 0:40:03.919
<v Speaker 2>So let me push back a little bit, because I've

0:40:03.920 --> 0:40:11.160
<v Speaker 2>been watching the AI reading medical scans, and at some

0:40:11.320 --> 0:40:15.239
<v Speaker 2>point last year, when maybe it was two years ago,

0:40:15.600 --> 0:40:23.520
<v Speaker 2>the technology theoretically past the accuracy rate of humans, fewer

0:40:23.560 --> 0:40:29.399
<v Speaker 2>false positives, more identifying missed negatives that should have been

0:40:29.440 --> 0:40:34.680
<v Speaker 2>positive than people. Is that not accurate or where are

0:40:34.719 --> 0:40:37.279
<v Speaker 2>we with the medical application of that?

0:40:37.520 --> 0:40:39.200
<v Speaker 4>So this is why I think it's so important to

0:40:39.200 --> 0:40:42.400
<v Speaker 4>disaggregate the different kinds of AI, because that is not

0:40:42.680 --> 0:40:46.080
<v Speaker 4>sort of LLLM based AI. And as I said, some

0:40:46.120 --> 0:40:47.759
<v Speaker 4>of those tools are great. I can't weigh in on

0:40:47.880 --> 0:40:50.480
<v Speaker 4>medical imaging and things like that, so it may very

0:40:50.520 --> 0:40:53.319
<v Speaker 4>well be the case. What I'm talking about is, you

0:40:53.320 --> 0:40:57.919
<v Speaker 4>know what, if you've got you know, a doctor coming

0:40:57.960 --> 0:41:02.200
<v Speaker 4>up with instructions for a care plan for their patients

0:41:02.920 --> 0:41:05.799
<v Speaker 4>and they let the AI do it, right, if there's

0:41:05.800 --> 0:41:08.120
<v Speaker 4>a mistake in there, they're much less likely to catch it.

0:41:08.160 --> 0:41:11.279
<v Speaker 4>If the AI, because you know, you know how things go,

0:41:11.600 --> 0:41:13.719
<v Speaker 4>you'll be expected to look at more of these because

0:41:13.760 --> 0:41:17.480
<v Speaker 4>you're not generating them yourself, right, And it's always easier

0:41:17.920 --> 0:41:21.040
<v Speaker 4>to get things right when you do it yourself than

0:41:21.080 --> 0:41:23.480
<v Speaker 4>when you're reviewing someone else. I mean, when we were lawyers,

0:41:23.520 --> 0:41:25.000
<v Speaker 4>we used to That's why you want to have the

0:41:25.040 --> 0:41:26.919
<v Speaker 4>pen on contracts. You want to you want to hide

0:41:26.920 --> 0:41:29.399
<v Speaker 4>things from the other side. And now it's now it's

0:41:29.400 --> 0:41:32.880
<v Speaker 4>the AI hiding stuff from you. And I worry that,

0:41:33.320 --> 0:41:36.239
<v Speaker 4>especially with younger lawyers coming up through the ranks who

0:41:36.280 --> 0:41:39.280
<v Speaker 4>are encouraged to rely on these tools from the beginning,

0:41:39.320 --> 0:41:44.000
<v Speaker 4>who won't actually develop the skills because you don't learn

0:41:44.080 --> 0:41:47.400
<v Speaker 4>well when you sort of don't process it yourself. So

0:41:47.440 --> 0:41:50.759
<v Speaker 4>if you're spent your whole career using AI, you're not

0:41:50.800 --> 0:41:53.520
<v Speaker 4>going to be able to spot the problems.

0:41:53.000 --> 0:41:54.879
<v Speaker 3>In the AI and not can have the skill set.

0:41:55.200 --> 0:41:57.799
<v Speaker 4>No, And so then I'm worried about, you know, those

0:41:57.840 --> 0:42:01.440
<v Speaker 4>young lawyers getting sued from malpractice because they missed something

0:42:01.440 --> 0:42:03.680
<v Speaker 4>that the AI generated, but they were never even given

0:42:03.680 --> 0:42:06.440
<v Speaker 4>the opportunity to learn how to spot it themselves.

0:42:06.239 --> 0:42:10.560
<v Speaker 2>It's a problem with the wrongs on the ladder being removed,

0:42:10.680 --> 0:42:16.359
<v Speaker 2>especially we see that now manifesting itself. The unemployment rate

0:42:16.400 --> 0:42:19.080
<v Speaker 2>of the under thirty is about double what it is

0:42:19.239 --> 0:42:22.080
<v Speaker 2>for the national unemployment rate. And I can't help but

0:42:22.160 --> 0:42:26.440
<v Speaker 2>wonder how much of that is somehow related to the

0:42:26.480 --> 0:42:29.800
<v Speaker 2>proliferation of AI tools for white collar job.

0:42:30.719 --> 0:42:33.920
<v Speaker 4>I think, you know, Corey Doctor, who does a lot

0:42:33.920 --> 0:42:35.520
<v Speaker 4>of work in the tech space, has a great quote

0:42:35.520 --> 0:42:37.440
<v Speaker 4>on this that I'm going to butcher a little, not

0:42:37.520 --> 0:42:39.040
<v Speaker 4>say it quite as well as he does it, but

0:42:39.120 --> 0:42:43.279
<v Speaker 4>he said, the AI can't do your job, but the

0:42:43.360 --> 0:42:46.480
<v Speaker 4>AI salesman can convince your boss to replace.

0:42:46.120 --> 0:42:48.280
<v Speaker 3>You with AI that can't do your job.

0:42:49.040 --> 0:42:52.520
<v Speaker 4>Right, So it's I think you're right that there is

0:42:53.760 --> 0:42:57.239
<v Speaker 4>at this moment, you know. I mean, it's also hard

0:42:57.280 --> 0:42:59.440
<v Speaker 4>to say how much of this is a AI washing

0:42:59.719 --> 0:43:04.080
<v Speaker 4>as a post to real AI displacement. Right the economy's

0:43:04.120 --> 0:43:05.759
<v Speaker 4>not in a great place right now. People don't want

0:43:05.800 --> 0:43:08.680
<v Speaker 4>to hire anyway. It looks a lot better if you say, well,

0:43:08.680 --> 0:43:11.160
<v Speaker 4>we're not hiring because we're replacing them with AI, than

0:43:11.280 --> 0:43:13.800
<v Speaker 4>just we're having a rough time we're not hiring.

0:43:13.920 --> 0:43:16.840
<v Speaker 2>AI washing is a phrase I haven't heard used in

0:43:16.880 --> 0:43:20.080
<v Speaker 2>modern parlance yet, but it certainly makes a whole lot

0:43:20.080 --> 0:43:22.160
<v Speaker 2>of sense. The line I heard, and I don't know

0:43:22.200 --> 0:43:24.480
<v Speaker 2>where I'm stealing this from, is you're not going to

0:43:24.560 --> 0:43:28.319
<v Speaker 2>be replaced by AI. You're going to be replaced by

0:43:28.360 --> 0:43:32.040
<v Speaker 2>somebody with a greater facility working with AI than you have,

0:43:32.440 --> 0:43:35.879
<v Speaker 2>and it sort of creates a self fulfilling arms race

0:43:36.000 --> 0:43:39.959
<v Speaker 2>to make sure you learn how to use that tool.

0:43:40.160 --> 0:43:43.160
<v Speaker 2>Otherwise you're at risk for being replaced by somebody who

0:43:43.560 --> 0:43:44.640
<v Speaker 2>knows how to use that tool.

0:43:44.800 --> 0:43:47.359
<v Speaker 4>I've heard that too, But I don't think these tools

0:43:47.360 --> 0:43:49.200
<v Speaker 4>are that hard to use, right, I mean, that's a

0:43:49.239 --> 0:43:51.319
<v Speaker 4>failure on the part of the AI companies if they're

0:43:51.320 --> 0:43:54.160
<v Speaker 4>so hard to use, right, It wasn't hard to use Google.

0:43:53.920 --> 0:43:59.960
<v Speaker 2>Search Perplexity and even chat GPT is absolutely easiest part

0:44:00.080 --> 0:44:03.200
<v Speaker 2>I use, don't. I don't find them difficult. Sometimes you

0:44:03.239 --> 0:44:08.320
<v Speaker 2>have to keep changing the prompts to get an improved answer.

0:44:08.880 --> 0:44:11.000
<v Speaker 2>Like if you just ask a question and walk away,

0:44:11.480 --> 0:44:15.279
<v Speaker 2>well then you're getting what everybody gets. But if I

0:44:15.320 --> 0:44:20.440
<v Speaker 2>don't really buy into the prompt engineer job title, but

0:44:21.120 --> 0:44:23.560
<v Speaker 2>a little exposure is the more you ask it and

0:44:23.600 --> 0:44:26.239
<v Speaker 2>the more you vary it, you get a variety of

0:44:26.280 --> 0:44:29.560
<v Speaker 2>answers and eventually you come up with something, Oh that's

0:44:29.600 --> 0:44:31.920
<v Speaker 2>interesting and different. Let me take a look at that.

0:44:32.080 --> 0:44:34.040
<v Speaker 4>So, I mean I have strong feelings about this as

0:44:34.040 --> 0:44:37.720
<v Speaker 4>an educator, because if these tools are worth their salt.

0:44:38.520 --> 0:44:40.400
<v Speaker 4>It shouldn't take our students long to figure out how

0:44:40.440 --> 0:44:42.680
<v Speaker 4>to use them, right, right, So why are we bringing

0:44:42.719 --> 0:44:45.760
<v Speaker 4>them into education where what they really need to learn

0:44:45.880 --> 0:44:48.600
<v Speaker 4>is how to spot hallucinations, how to think critically, so

0:44:48.680 --> 0:44:50.640
<v Speaker 4>that if they are going to use these tools later,

0:44:50.719 --> 0:44:52.680
<v Speaker 4>they can use them to the best of their abilities.

0:44:53.280 --> 0:44:54.640
<v Speaker 3>This whole arms race.

0:44:54.480 --> 0:44:56.680
<v Speaker 4>Sense of well, they need to use them in school

0:44:56.719 --> 0:44:58.879
<v Speaker 4>so they don't get left behind. I'm like, it didn't

0:44:58.880 --> 0:45:00.520
<v Speaker 4>take learn long to learn Google.

0:45:00.640 --> 0:45:01.320
<v Speaker 3>They'll be fine.

0:45:01.719 --> 0:45:05.640
<v Speaker 2>You've been pretty critical of things like crypto and stable coin.

0:45:05.760 --> 0:45:08.880
<v Speaker 2>We're going to get to those in a moment. I

0:45:08.920 --> 0:45:13.720
<v Speaker 2>want to talk about some other things you've discussed. You've

0:45:13.840 --> 0:45:20.319
<v Speaker 2>brought up the whole idea of technology as a branding exercise,

0:45:20.800 --> 0:45:28.520
<v Speaker 2>phrases like democratizing finance, disruptive technology, banking, the on banks.

0:45:29.040 --> 0:45:32.319
<v Speaker 2>You've described these as just you know, marketing and not

0:45:32.400 --> 0:45:35.800
<v Speaker 2>really accomplishing anything. Tell us a little bit about those

0:45:35.920 --> 0:45:37.480
<v Speaker 2>and give us some examples.

0:45:38.360 --> 0:45:40.600
<v Speaker 4>Sure, I mean, I think at the heart of all

0:45:40.680 --> 0:45:44.480
<v Speaker 4>this is innovation speak in innovation worship, right. We alluded

0:45:44.520 --> 0:45:49.320
<v Speaker 4>to that earlier, This sense that anything that is innovative

0:45:49.440 --> 0:45:53.120
<v Speaker 4>is inherently good and must therefore be permitted at all costs,

0:45:54.160 --> 0:45:56.600
<v Speaker 4>and that is sort of the font of a lot

0:45:56.600 --> 0:45:59.880
<v Speaker 4>of the rhetoric and narrative that we get out of

0:46:00.080 --> 0:46:04.960
<v Speaker 4>Silicon Valley that ultimately is there to attract funding, yes,

0:46:05.200 --> 0:46:09.920
<v Speaker 4>but also to procure legal treatment that facilitates what they

0:46:09.960 --> 0:46:13.360
<v Speaker 4>want to do. It actually creates offen an unleveled legal

0:46:13.400 --> 0:46:16.080
<v Speaker 4>playing field where you have the incumbents who have to

0:46:16.120 --> 0:46:19.040
<v Speaker 4>comply with all the laws, and then the disruptors, as

0:46:19.040 --> 0:46:23.040
<v Speaker 4>you say, who don't have to comply with all the

0:46:23.120 --> 0:46:25.839
<v Speaker 4>laws and can succeed on that basis even if their

0:46:25.880 --> 0:46:29.160
<v Speaker 4>product isn't superior in the way we would typically expect

0:46:29.520 --> 0:46:34.239
<v Speaker 4>a disruptor's product to be. So yeah, I mean, disruptive

0:46:34.360 --> 0:46:40.360
<v Speaker 4>innovation goes back to Clayton Christiansen and the innovator's dilemma,

0:46:40.880 --> 0:46:44.319
<v Speaker 4>This sense that if you stay still and just make

0:46:44.360 --> 0:46:47.920
<v Speaker 4>good products, you'll be out competed by someone who is

0:46:47.960 --> 0:46:52.719
<v Speaker 4>trying to do things a little differently. But you know,

0:46:53.160 --> 0:46:57.640
<v Speaker 4>there's no real formula that you can take away from

0:46:57.680 --> 0:47:00.800
<v Speaker 4>that as to what disruptive is in the of the beholder.

0:47:00.920 --> 0:47:03.040
<v Speaker 2>So let me push back on that a little bit.

0:47:04.160 --> 0:47:06.480
<v Speaker 2>And all my VC friends, I could just hear their

0:47:06.560 --> 0:47:11.560
<v Speaker 2>voices in my head, and the pushback is, Look, most

0:47:11.600 --> 0:47:15.960
<v Speaker 2>new companies fail, most new technologies crash and burn, most

0:47:16.080 --> 0:47:19.040
<v Speaker 2>new ideas never make it. And even the best of

0:47:19.080 --> 0:47:22.600
<v Speaker 2>the best vcs, they'll make one hundred investments for that

0:47:22.719 --> 0:47:25.839
<v Speaker 2>one moonshot that works out, and most of the other

0:47:25.920 --> 0:47:31.520
<v Speaker 2>ninety nine are at best break even but mostly losers.

0:47:31.560 --> 0:47:35.120
<v Speaker 2>How could you say this is true? Oh? And real

0:47:35.160 --> 0:47:42.000
<v Speaker 2>innovation often finds itself in between the regulatory regime because

0:47:42.120 --> 0:47:46.560
<v Speaker 2>the technology that's being created was never anticipated by the

0:47:46.640 --> 0:47:48.560
<v Speaker 2>regulators or anybody else.

0:47:49.239 --> 0:47:52.600
<v Speaker 3>Fair pushback a lot of points that I would quibble with.

0:47:52.600 --> 0:47:56.479
<v Speaker 3>There something that's fair. Quibble away, quibble away. All right, So.

0:47:57.920 --> 0:48:00.760
<v Speaker 4>There's this idea that the law is a bat innovation

0:48:00.840 --> 0:48:02.920
<v Speaker 4>because law is old and innovation is new, and the

0:48:03.000 --> 0:48:08.320
<v Speaker 4>law couldn't possibly have contemplated the innovation. The story about

0:48:08.320 --> 0:48:11.239
<v Speaker 4>the innovation is what makes it new. Right, most of

0:48:11.239 --> 0:48:14.719
<v Speaker 4>the things that we're seeing in the fintech space, they're

0:48:14.719 --> 0:48:16.439
<v Speaker 4>not that new. Right, As I said, you know, we've

0:48:16.440 --> 0:48:18.759
<v Speaker 4>got fintech lending has a lot of the things that

0:48:18.800 --> 0:48:23.400
<v Speaker 4>we didn't like about payday lending. Right, why shouldn't the

0:48:23.440 --> 0:48:28.400
<v Speaker 4>laws from payday lending apply crypto basically. I mean the

0:48:28.400 --> 0:48:30.840
<v Speaker 4>crypto markets for all the world look like the stocks

0:48:30.880 --> 0:48:33.440
<v Speaker 4>and bonds and the unregulated markets of the nineteen twenties.

0:48:33.480 --> 0:48:34.520
<v Speaker 3>We saw how that ended.

0:48:34.880 --> 0:48:37.520
<v Speaker 4>They ended in such a spectacular crash that we ended

0:48:37.600 --> 0:48:40.840
<v Speaker 4>up with the securities laws. Why shouldn't they apply? What's

0:48:40.880 --> 0:48:45.520
<v Speaker 4>so different? Right, So, this construction of novelty is something

0:48:45.560 --> 0:48:50.800
<v Speaker 4>that is done intentionally as a narrative. Now, I fully

0:48:50.800 --> 0:48:53.799
<v Speaker 4>appreciate that we need the optimists in this world who

0:48:53.840 --> 0:48:54.960
<v Speaker 4>are going to try new things.

0:48:55.000 --> 0:48:57.800
<v Speaker 3>And I say that very early on in the book.

0:48:58.080 --> 0:49:02.280
<v Speaker 4>The people who these stories are you because they attract

0:49:02.320 --> 0:49:04.400
<v Speaker 4>funding two new things. So I'm not saying we should

0:49:04.440 --> 0:49:07.560
<v Speaker 4>do away with it completely. My argument is that the

0:49:08.040 --> 0:49:14.000
<v Speaker 4>yin and yang, the balance between the optimists and the realists,

0:49:14.440 --> 0:49:17.040
<v Speaker 4>is badly out of whack because we give so much

0:49:17.080 --> 0:49:21.439
<v Speaker 4>deference to the stories about innovation, about disruption, about how

0:49:21.480 --> 0:49:25.319
<v Speaker 4>technology can solve problems that have been with us for centuries.

0:49:25.560 --> 0:49:30.200
<v Speaker 4>We can magically get rid of intermediaries now with blockchain technology, apparently.

0:49:30.120 --> 0:49:33.680
<v Speaker 2>Well, that was one of the story narratives, was this

0:49:33.800 --> 0:49:38.799
<v Speaker 2>intermediation until it no longer was the story. But let's

0:49:38.800 --> 0:49:42.239
<v Speaker 2>talk about some specific companies that you've mentioned, that you've

0:49:42.280 --> 0:49:45.640
<v Speaker 2>written about, and I want to get your sense on it.

0:49:45.719 --> 0:49:51.799
<v Speaker 2>And the oldest one was PayPal to this day, and

0:49:51.840 --> 0:49:54.640
<v Speaker 2>I was a PayPal user back in the nineteen nineties,

0:49:55.000 --> 0:49:58.319
<v Speaker 2>with eBay and those sort of things. To this day,

0:49:58.400 --> 0:50:01.719
<v Speaker 2>I don't understand what they did was any different than

0:50:01.760 --> 0:50:05.440
<v Speaker 2>a credit card, other than being a bit of middleware

0:50:06.640 --> 0:50:11.279
<v Speaker 2>that eventually became a rentier. Why not just use a

0:50:11.280 --> 0:50:14.279
<v Speaker 2>credit card? Why do I need PayPal between me and

0:50:14.400 --> 0:50:15.920
<v Speaker 2>Amazon or me and eBay.

0:50:16.520 --> 0:50:20.120
<v Speaker 4>So this is really an interesting story, and I learned

0:50:20.160 --> 0:50:22.280
<v Speaker 4>a whole lot about this in research for this book

0:50:22.520 --> 0:50:26.040
<v Speaker 4>by reading Max Chafkin's book The Contrarian about Peter Tiel

0:50:26.120 --> 0:50:29.360
<v Speaker 4>and the start of the beginning of PayPal. And in fact,

0:50:29.760 --> 0:50:33.319
<v Speaker 4>the idea for PayPal came from the same place that

0:50:33.400 --> 0:50:35.320
<v Speaker 4>the idea for crypto has come from, which is this

0:50:36.160 --> 0:50:40.560
<v Speaker 4>techno libertarian idea of we don't like regulation, we don't

0:50:40.640 --> 0:50:43.760
<v Speaker 4>like central banks, we would like to have private money,

0:50:44.239 --> 0:50:48.360
<v Speaker 4>and we would like technology to help us have private money.

0:50:48.760 --> 0:50:51.160
<v Speaker 4>And PayPal wasn't the only one of these kinds of

0:50:51.160 --> 0:50:53.760
<v Speaker 4>startups back in the early dot com bubble.

0:50:53.880 --> 0:50:55.879
<v Speaker 3>So PayPal, I.

0:50:55.760 --> 0:50:59.080
<v Speaker 4>Think succeeded because it sort of lucked into this deal

0:50:59.080 --> 0:51:01.319
<v Speaker 4>with eBay, as you said, right, it sort of had

0:51:01.360 --> 0:51:04.640
<v Speaker 4>no distinguishing features as far as I can tell, that

0:51:04.719 --> 0:51:07.440
<v Speaker 4>made it any superior to the beans is and the

0:51:07.440 --> 0:51:13.400
<v Speaker 4>fluses of this world. It lucked into this deal with eBay, so.

0:51:13.280 --> 0:51:19.480
<v Speaker 2>And eventually they buys them to solve their I guess

0:51:19.600 --> 0:51:22.640
<v Speaker 2>credit card management problem. I don't really understand. I still,

0:51:23.000 --> 0:51:25.040
<v Speaker 2>you know, twenty or twenty five years later, I still

0:51:25.040 --> 0:51:27.680
<v Speaker 2>don't understand why they were necessary.

0:51:28.320 --> 0:51:29.160
<v Speaker 3>I think. Yeah.

0:51:29.200 --> 0:51:32.239
<v Speaker 4>I mean, my knowledge of this comes primarily from reading

0:51:32.280 --> 0:51:35.319
<v Speaker 4>Max Chafkin's book, which I highly recommend. But that's that's

0:51:35.400 --> 0:51:39.120
<v Speaker 4>my understanding too. And so you know, they are a

0:51:39.200 --> 0:51:45.400
<v Speaker 4>payments technology. I too struggle to sort of understand what

0:51:45.440 --> 0:51:50.520
<v Speaker 4>they offer that a credit card doesn't in many ways.

0:51:51.680 --> 0:51:53.640
<v Speaker 3>One thing they are, though.

0:51:53.560 --> 0:51:57.400
<v Speaker 4>Is they are sort of the or regulatory arbitrage story

0:51:57.400 --> 0:51:59.520
<v Speaker 4>in fintech, right, So you know I've said so much

0:51:59.520 --> 0:52:01.839
<v Speaker 4>of fintech is actually about arbitrage in the law rather

0:52:01.840 --> 0:52:07.160
<v Speaker 4>than technological superiority. PayPal from the beginning was flaunting quite

0:52:07.200 --> 0:52:10.640
<v Speaker 4>aggressively the banking laws because only banks are allowed to

0:52:10.680 --> 0:52:15.560
<v Speaker 4>accept deposits, and people were keeping money in their PayPal

0:52:15.600 --> 0:52:17.760
<v Speaker 4>wallets and for all the world, that looks like keeping

0:52:17.760 --> 0:52:21.120
<v Speaker 4>a deposit. Peter Tiel from the beginning was very aggressive

0:52:21.480 --> 0:52:24.759
<v Speaker 4>on the lobbying to make sure that that was not

0:52:24.920 --> 0:52:28.279
<v Speaker 4>considered deposit taking. Early on there were multiple states that

0:52:28.320 --> 0:52:30.680
<v Speaker 4>were investigating it because they thought it was the unflawful

0:52:30.719 --> 0:52:35.320
<v Speaker 4>taking of deposits. He lobbied heavily in Congress, and lobbied

0:52:35.320 --> 0:52:40.960
<v Speaker 4>heavily at the FDIC, and ultimately, you know, that worked.

0:52:41.080 --> 0:52:43.480
<v Speaker 4>And so I think that has sort of been the prototype,

0:52:43.520 --> 0:52:48.400
<v Speaker 4>that blit scaling prototype. I think people perhaps underestimate the

0:52:48.480 --> 0:52:51.600
<v Speaker 4>degree to which blit scaling is really about playing it

0:52:51.600 --> 0:52:54.640
<v Speaker 4>on an unlegal, unleveled legal playing field.

0:52:55.120 --> 0:52:57.920
<v Speaker 2>Let's talk about stable coins. What sort of value do

0:52:58.040 --> 0:52:58.719
<v Speaker 2>they provide?

0:52:59.239 --> 0:53:03.640
<v Speaker 4>Again, unless you are trying to do illicit transactions or gamble,

0:53:03.880 --> 0:53:05.240
<v Speaker 4>not a whole lot, right.

0:53:05.160 --> 0:53:07.520
<v Speaker 2>So, well, stable coin is worth a dollar, and it

0:53:07.600 --> 0:53:12.240
<v Speaker 2>promises to always be worth a dollar. Don't we have dollars?

0:53:12.280 --> 0:53:13.600
<v Speaker 2>Why do I need a stable coin?

0:53:14.040 --> 0:53:17.680
<v Speaker 4>Well, you need a stable coin often to do illicit payments.

0:53:18.400 --> 0:53:21.719
<v Speaker 4>So if you want, you know, if you're they're very popular,

0:53:21.880 --> 0:53:25.759
<v Speaker 4>for example, with all kinds of dark cartels, and they're

0:53:25.800 --> 0:53:26.920
<v Speaker 4>good for sanctions of Asian.

0:53:28.239 --> 0:53:30.120
<v Speaker 3>They're also very good if.

0:53:30.360 --> 0:53:32.160
<v Speaker 4>You want to gamble in crypto and you want to

0:53:32.239 --> 0:53:34.080
<v Speaker 4>use it as sort of a cash management tool in

0:53:34.160 --> 0:53:36.840
<v Speaker 4>between crypto investments, kind of like a money market mutual

0:53:36.880 --> 0:53:39.720
<v Speaker 4>fund in your brokerage account for parking funds in between

0:53:39.800 --> 0:53:45.640
<v Speaker 4>crypto gambling. But they've really never had any utility in

0:53:45.680 --> 0:53:48.799
<v Speaker 4>any big way as a legal payments mechanism.

0:53:48.960 --> 0:53:52.400
<v Speaker 2>All right, So what about you mentioned the blockchain. I

0:53:52.719 --> 0:53:56.440
<v Speaker 2>keep reading that blockchain is going to allow us to

0:53:56.520 --> 0:54:00.439
<v Speaker 2>use smart contracts and have things happen automatically that now

0:54:00.520 --> 0:54:03.520
<v Speaker 2>have to be manually. What's the problem with blockchain?

0:54:04.280 --> 0:54:07.759
<v Speaker 4>Well, first of all, smart contracts can work without a blockchain.

0:54:08.040 --> 0:54:11.200
<v Speaker 4>Smart contracts pre date blockchains. They can run on all

0:54:11.320 --> 0:54:13.960
<v Speaker 4>kinds of databases. So if you want that kind of

0:54:14.000 --> 0:54:16.800
<v Speaker 4>functionality and it has pros and cons, and I've written

0:54:16.840 --> 0:54:20.239
<v Speaker 4>about this aton, you can have that without a blockchain.

0:54:20.760 --> 0:54:23.359
<v Speaker 4>The reason why you don't want to have it on

0:54:23.400 --> 0:54:25.719
<v Speaker 4>a blockchain, and this is something that does not get

0:54:25.760 --> 0:54:28.759
<v Speaker 4>anywhere near the attention it needs, is that there's all

0:54:28.840 --> 0:54:32.080
<v Speaker 4>kinds of operational risks associated with the blockchains themselves. So

0:54:32.080 --> 0:54:38.000
<v Speaker 4>blockchains are software, they are maintained by in the case

0:54:38.040 --> 0:54:40.799
<v Speaker 4>of the Bitcoin blockchain, just a few individuals. In the

0:54:40.840 --> 0:54:44.239
<v Speaker 4>case of the Ethereum blockchain, it's the Ethereum Foundation. They're

0:54:44.239 --> 0:54:49.560
<v Speaker 4>not regulated at all. They have no obligation to invest

0:54:49.600 --> 0:54:54.320
<v Speaker 4>in cybersecurity, to invest in getting their blockchains up and

0:54:54.400 --> 0:54:58.000
<v Speaker 4>running again. Should something go wrong, You're just you're really

0:54:58.040 --> 0:55:02.160
<v Speaker 4>sort of as I sometimes say, yolo ing operational risk

0:55:02.280 --> 0:55:06.520
<v Speaker 4>with regards to these blockchains. And so if you want

0:55:06.560 --> 0:55:10.840
<v Speaker 4>smart chain, so sorry smart contract functionality, don't use a blockchain.

0:55:11.120 --> 0:55:11.319
<v Speaker 1>Huh.

0:55:11.640 --> 0:55:15.040
<v Speaker 2>Coming up, we continue our conversation with Professor Hillary Allen

0:55:15.640 --> 0:55:20.959
<v Speaker 2>discussing her new book, Fintech Dystopia, a summer beach read

0:55:21.160 --> 0:55:26.000
<v Speaker 2>about Silicon Valley and how it's ruining fits. I'm Bury Ridults.

0:55:26.040 --> 0:55:43.479
<v Speaker 2>You're listening to Masters in Business on Bloomberg Radio. I'm

0:55:43.480 --> 0:55:47.640
<v Speaker 2>Barry Riddults. You're listening to Masters in Business on Bloomberg Radio.

0:55:47.920 --> 0:55:51.040
<v Speaker 2>My extra special guest this week is Hillary Allen. She

0:55:51.200 --> 0:55:56.200
<v Speaker 2>teaches at the American University Washington College of Law in Washington,

0:55:56.320 --> 0:56:00.960
<v Speaker 2>d C. Where she specializes in regulation of financial and

0:56:01.160 --> 0:56:05.600
<v Speaker 2>technology laws. So we mentioned stable coin, we've mentioned blockchain.

0:56:06.120 --> 0:56:09.960
<v Speaker 2>Is there any value in any of the crypto coins?

0:56:10.400 --> 0:56:15.600
<v Speaker 2>Be it bitcoin or ethereum. I know, we can't actually

0:56:15.680 --> 0:56:19.040
<v Speaker 2>describe the last one hundred coins that are out there

0:56:19.080 --> 0:56:23.799
<v Speaker 2>on the radio will violate George Colin's seven words you

0:56:23.800 --> 0:56:28.040
<v Speaker 2>can't say on TV or radio. But there's an outside

0:56:28.080 --> 0:56:32.759
<v Speaker 2>of the you know, ebu, doge coins and everything below that.

0:56:33.480 --> 0:56:38.360
<v Speaker 2>What's the value of the first five or so cryptocurrencies?

0:56:38.480 --> 0:56:42.080
<v Speaker 2>Is there anything worthwhile to these or is this just

0:56:42.160 --> 0:56:44.320
<v Speaker 2>a solution in search of a problem.

0:56:44.400 --> 0:56:47.120
<v Speaker 3>It's a solution in search of a problem. I mean essentially.

0:56:47.200 --> 0:56:50.719
<v Speaker 4>Even so, Bitcoin often is seen as the most credible

0:56:50.920 --> 0:56:52.960
<v Speaker 4>of these because it's been around the longest and has

0:56:53.160 --> 0:56:53.960
<v Speaker 4>large Bitcoin and.

0:56:53.920 --> 0:56:56.360
<v Speaker 2>Eth those are the two I hear about the most.

0:56:57.719 --> 0:57:00.440
<v Speaker 4>But both of them are essentially ponzi's in the sense

0:57:00.480 --> 0:57:04.120
<v Speaker 4>that there's nothing backing them. The only reason they have

0:57:04.239 --> 0:57:07.120
<v Speaker 4>value is because someone else might buy them from you.

0:57:07.880 --> 0:57:10.200
<v Speaker 4>If they choose not to, it could go to zero.

0:57:10.239 --> 0:57:12.200
<v Speaker 4>And actually, someone put it to me this way. It's

0:57:12.239 --> 0:57:13.719
<v Speaker 4>not that they could go to zero. They could go

0:57:13.760 --> 0:57:15.719
<v Speaker 4>to less than zero because they don't even have any

0:57:15.719 --> 0:57:19.840
<v Speaker 4>assets that could be used to administer a winding up right,

0:57:19.960 --> 0:57:21.760
<v Speaker 4>and and that's expensive.

0:57:22.480 --> 0:57:24.160
<v Speaker 3>You know you're gonna get the lawyers.

0:57:23.920 --> 0:57:25.760
<v Speaker 2>In the courts that everybody involved that tho, Well, you're

0:57:25.800 --> 0:57:28.480
<v Speaker 2>not suggesting that if you own bitcoin you may have

0:57:28.520 --> 0:57:31.480
<v Speaker 2>a liability down the road. Is that? Is that the implication?

0:57:31.880 --> 0:57:35.400
<v Speaker 4>No, I'm just saying that if someone was trying to

0:57:35.680 --> 0:57:38.040
<v Speaker 4>work out the end of one of these things, there

0:57:38.080 --> 0:57:41.400
<v Speaker 4>wouldn't even be you know, office furniture you could sell

0:57:41.480 --> 0:57:42.440
<v Speaker 4>to pay the lawyers.

0:57:42.880 --> 0:57:50.000
<v Speaker 2>Okay, you you've written about startups like farrahos I remember

0:57:50.200 --> 0:57:54.840
<v Speaker 2>juico tell us a little bit about those two, and

0:57:55.000 --> 0:57:58.480
<v Speaker 2>was that just, you know, one of these products that

0:57:58.600 --> 0:58:01.280
<v Speaker 2>just didn't work out? What what's the problem with that

0:58:02.040 --> 0:58:06.400
<v Speaker 2>technology solution to our juicing problems?

0:58:07.080 --> 0:58:09.360
<v Speaker 4>So Juiceara is just my favorite metaphor for all of this.

0:58:09.520 --> 0:58:11.760
<v Speaker 4>So for those of you who are unfamiliar with the

0:58:12.080 --> 0:58:16.120
<v Speaker 4>gift that is Juicero. So basically, this was a machine

0:58:16.120 --> 0:58:17.560
<v Speaker 4>that cost hundreds of dollars.

0:58:17.600 --> 0:58:18.840
<v Speaker 3>It was Wi Fi enabled.

0:58:18.960 --> 0:58:21.720
<v Speaker 2>Well, roll back the guy and you described this in

0:58:21.760 --> 0:58:25.160
<v Speaker 2>the book. The guy who invented this previously had set

0:58:25.200 --> 0:58:30.720
<v Speaker 2>off a fairly successful was it a juicing chain of

0:58:30.760 --> 0:58:34.880
<v Speaker 2>companies that got bought, and so he had some credibility

0:58:34.880 --> 0:58:38.240
<v Speaker 2>in the space. And now I'm not going to run restaurants.

0:58:38.320 --> 0:58:42.040
<v Speaker 2>I'm going to create a technology that people can juice

0:58:42.040 --> 0:58:42.439
<v Speaker 2>at home.

0:58:42.960 --> 0:58:45.320
<v Speaker 3>It was venture funded. They put a lot of money into.

0:58:45.160 --> 0:58:48.640
<v Speaker 2>This, one hundred plus million dollars and these these.

0:58:48.960 --> 0:58:50.920
<v Speaker 3>What it did was it squeezed these juice patches.

0:58:51.440 --> 0:58:54.560
<v Speaker 4>The problem was that people could just squeeze the juice

0:58:54.600 --> 0:58:56.880
<v Speaker 4>patches with their bare hands and get all the juice.

0:58:57.040 --> 0:59:00.520
<v Speaker 2>There was a notorious Bloomberg article of about out this,

0:59:01.800 --> 0:59:06.840
<v Speaker 2>but it raises the question did the company already squeeze

0:59:06.880 --> 0:59:10.360
<v Speaker 2>the juice and put in these pouches? Why didn't they, Like,

0:59:10.440 --> 0:59:13.400
<v Speaker 2>why wasn't this set up so that you can actually

0:59:13.400 --> 0:59:17.320
<v Speaker 2>put fresh fruit? Like doesn't it defeat the purpose if

0:59:17.360 --> 0:59:20.560
<v Speaker 2>you're buying pouches? Or was the whole idea of the

0:59:20.720 --> 0:59:21.880
<v Speaker 2>razor blade model?

0:59:22.360 --> 0:59:24.480
<v Speaker 4>So, I mean, the reason why I love this as

0:59:24.520 --> 0:59:28.720
<v Speaker 4>a metaphor is it really gets at this techno solutionism,

0:59:28.760 --> 0:59:31.120
<v Speaker 4>which is one of the concepts that I'm really coming

0:59:31.160 --> 0:59:35.280
<v Speaker 4>for in this book. And techno solutionism is this idea

0:59:35.320 --> 0:59:38.320
<v Speaker 4>that everything in our world can be reduced into a

0:59:38.320 --> 0:59:41.680
<v Speaker 4>technology problem, and that the only reason we haven't solved

0:59:41.720 --> 0:59:44.440
<v Speaker 4>certain things is because we haven't spent enough time and

0:59:44.480 --> 0:59:48.360
<v Speaker 4>money on developing the technology. And what that does is

0:59:48.480 --> 0:59:52.720
<v Speaker 4>it sort of flattens some problems into it gets rid

0:59:52.760 --> 0:59:56.640
<v Speaker 4>of the human messiness. It flattens problems, It ignores domain expertise.

0:59:56.680 --> 0:59:59.200
<v Speaker 4>People who've been working in particular fields for a long

0:59:59.240 --> 1:00:01.840
<v Speaker 4>time and know a lot of non tech stuff. It

1:00:01.920 --> 1:00:06.600
<v Speaker 4>sort of dismisses their expertise. And sadly, you know, there's

1:00:06.640 --> 1:00:09.560
<v Speaker 4>just this magic associated with technology at this point. And

1:00:09.880 --> 1:00:11.960
<v Speaker 4>as I said, I'm not anti technology. A lot of

1:00:12.000 --> 1:00:15.200
<v Speaker 4>it's great, but it doesn't deserve the level of sort

1:00:15.200 --> 1:00:17.800
<v Speaker 4>of magical deference that we give it. It can't solve all

1:00:17.800 --> 1:00:20.880
<v Speaker 4>our problems. And when we get into this mindset where

1:00:20.920 --> 1:00:23.600
<v Speaker 4>we think that if we throw enough money at technology,

1:00:23.600 --> 1:00:25.560
<v Speaker 4>it can solve anything and it will always be the

1:00:25.560 --> 1:00:30.520
<v Speaker 4>best solutions, we end up squeezing pouches with a machine

1:00:30.520 --> 1:00:31.560
<v Speaker 4>that we could squeeze.

1:00:31.200 --> 1:00:31.920
<v Speaker 3>With our bare hands.

1:00:31.920 --> 1:00:34.200
<v Speaker 4>And a joke that I try and make in the

1:00:34.200 --> 1:00:37.480
<v Speaker 4>book is like with AI, we may be better off

1:00:37.480 --> 1:00:39.000
<v Speaker 4>squeezing things with our bare minds.

1:00:40.000 --> 1:00:43.760
<v Speaker 2>So one more company I have to ask about Farahose.

1:00:44.840 --> 1:00:47.560
<v Speaker 2>I love the book Bad Blood, what really went into

1:00:47.640 --> 1:00:53.160
<v Speaker 2>details about how corrosive and co opting, co opting the

1:00:53.240 --> 1:00:57.120
<v Speaker 2>company itself was for everybody around it, including the attorneys

1:00:57.160 --> 1:01:01.480
<v Speaker 2>and all sorts of other bad actors. Why wasn't thereno

1:01:01.560 --> 1:01:04.680
<v Speaker 2>It's just an idea that didn't work. That you can't

1:01:05.200 --> 1:01:07.400
<v Speaker 2>if you want to draw a blood from a vein,

1:01:07.800 --> 1:01:10.280
<v Speaker 2>you have to draw a blood from a vein. You

1:01:10.320 --> 1:01:14.120
<v Speaker 2>can't just prick your fingertip and think that's going to

1:01:14.200 --> 1:01:16.280
<v Speaker 2>be the same as venal draws.

1:01:16.640 --> 1:01:18.920
<v Speaker 4>Well. So that's the thing with this techno solutionism. It

1:01:18.960 --> 1:01:22.320
<v Speaker 4>presumes that everything is a tech problem waiting to be solved.

1:01:22.760 --> 1:01:25.920
<v Speaker 4>It doesn't even countenance the possibility that there may not

1:01:26.200 --> 1:01:29.240
<v Speaker 4>be a technological solution for what you want to do,

1:01:29.280 --> 1:01:32.360
<v Speaker 4>that the technology you want may not be able to

1:01:32.480 --> 1:01:35.120
<v Speaker 4>do the thing you wanted to do. And when you

1:01:35.280 --> 1:01:39.440
<v Speaker 4>have that sort of collective sense, though, I think we

1:01:39.520 --> 1:01:42.600
<v Speaker 4>have now that if we throw enough money at any technology,

1:01:42.640 --> 1:01:45.120
<v Speaker 4>it can solve any problem we give it. You can

1:01:45.160 --> 1:01:48.440
<v Speaker 4>see how people get so susceptible to being sort of

1:01:48.520 --> 1:01:54.040
<v Speaker 4>drawn into the stories that outright con people like Elizabeth

1:01:54.040 --> 1:01:57.080
<v Speaker 4>Holmes might be telling, but also the stories that we're

1:01:57.080 --> 1:01:58.400
<v Speaker 4>being told about.

1:01:58.720 --> 1:01:59.560
<v Speaker 3>You know about.

1:01:59.280 --> 1:02:02.880
<v Speaker 4>AI right now, about crypto. You know, the more you

1:02:02.960 --> 1:02:08.400
<v Speaker 4>know about these technologies, the less impressive they seem, and

1:02:08.640 --> 1:02:13.520
<v Speaker 4>the more clearly it becomes illuminated that they just can't

1:02:13.600 --> 1:02:15.680
<v Speaker 4>do a lot of the things that they're going to do.

1:02:16.040 --> 1:02:18.640
<v Speaker 4>But that's so counter to how we typically talk about

1:02:18.680 --> 1:02:21.440
<v Speaker 4>technologies that it sort of it feels a bit weird

1:02:21.480 --> 1:02:25.120
<v Speaker 4>to talk like that, and you sort of you're going

1:02:25.160 --> 1:02:27.840
<v Speaker 4>against societal norms in a way. And so one of

1:02:27.840 --> 1:02:30.160
<v Speaker 4>the things that I really wanted to do with this

1:02:30.600 --> 1:02:34.880
<v Speaker 4>is to start making it easier to talk about these

1:02:34.880 --> 1:02:38.040
<v Speaker 4>things critically, to be not such an outlier to express

1:02:38.080 --> 1:02:40.920
<v Speaker 4>your frustrations. And I think we're actually having a moment

1:02:41.040 --> 1:02:44.600
<v Speaker 4>like that about AI because so many people really hate it.

1:02:45.440 --> 1:02:51.120
<v Speaker 2>Really, so you use the phrase techno solutionism, and Fairhos

1:02:51.160 --> 1:02:54.439
<v Speaker 2>is really the poster child for that. Because as you're

1:02:54.480 --> 1:02:59.360
<v Speaker 2>describing a lot of these things, I am recalling the story,

1:03:00.160 --> 1:03:04.240
<v Speaker 2>especially what you're referring to with domain expertise. She had

1:03:04.280 --> 1:03:10.000
<v Speaker 2>no medical or medical device training. None of the vcs

1:03:10.120 --> 1:03:16.640
<v Speaker 2>who put money into Fairnose were healthcare, biotech medical devices

1:03:17.240 --> 1:03:21.360
<v Speaker 2>like they all passed. Eventually, she hired a number of

1:03:21.400 --> 1:03:25.640
<v Speaker 2>people to try and with some background, but they seem

1:03:25.720 --> 1:03:28.920
<v Speaker 2>to turn over pretty quickly because now you can't do

1:03:29.000 --> 1:03:32.080
<v Speaker 2>that what you just pricking the skin, You're getting all

1:03:32.120 --> 1:03:36.040
<v Speaker 2>the interstitial tissue and fluids, and you're corrupting the sample

1:03:36.080 --> 1:03:38.680
<v Speaker 2>that you want to test for something you have. The

1:03:39.240 --> 1:03:43.320
<v Speaker 2>reason we draw from the vein is very medically specific,

1:03:44.320 --> 1:03:50.400
<v Speaker 2>and yet it attracted Henry Kissinger and the all sorts

1:03:50.440 --> 1:03:54.280
<v Speaker 2>of big law firms and everybody plowed in. She's the

1:03:54.280 --> 1:04:00.160
<v Speaker 2>next Stieve Jobs, the youngest self made female billionaire. Is

1:04:00.400 --> 1:04:04.240
<v Speaker 2>about us, that we're just so susceptible to buying into

1:04:04.280 --> 1:04:07.520
<v Speaker 2>these narrative twels that turn out to be nonsense.

1:04:08.520 --> 1:04:10.600
<v Speaker 4>So, I mean, part of it is that we're humans,

1:04:11.160 --> 1:04:17.479
<v Speaker 4>and humans have often sort of been snowed by things

1:04:17.480 --> 1:04:19.920
<v Speaker 4>that are flashy and shiny and exciting. I mean, that's

1:04:20.000 --> 1:04:23.960
<v Speaker 4>just very much the human condition. Some of the stuff

1:04:23.960 --> 1:04:26.520
<v Speaker 4>I talk about in the book that I really enjoyed

1:04:26.640 --> 1:04:30.640
<v Speaker 4>working on was the cognitive psychology aspects of it.

1:04:30.720 --> 1:04:31.520
<v Speaker 3>You know, sort of.

1:04:32.920 --> 1:04:40.160
<v Speaker 4>When we hear certain stories, it's very difficult to budge ourselves.

1:04:39.680 --> 1:04:40.800
<v Speaker 3>And be contrariant.

1:04:40.800 --> 1:04:43.080
<v Speaker 4>And as I was saying earlier, so you sort of

1:04:43.200 --> 1:04:48.280
<v Speaker 4>need a collective tipping point where people start to question

1:04:48.360 --> 1:04:50.880
<v Speaker 4>it so you don't feel like an outlier or the

1:04:50.960 --> 1:04:53.680
<v Speaker 4>norm when you start to question these things, and so

1:04:54.120 --> 1:04:55.840
<v Speaker 4>I think there's a role for media here. I think

1:04:55.840 --> 1:04:59.200
<v Speaker 4>there's a role for education. Unfortunately, the people who benefit

1:04:59.240 --> 1:05:02.240
<v Speaker 4>from technically also know this and have a very big

1:05:02.280 --> 1:05:05.080
<v Speaker 4>media presence and invest a lot in education. So it's

1:05:05.400 --> 1:05:09.560
<v Speaker 4>an uphill battle to start talking about these things differently.

1:05:10.560 --> 1:05:15.760
<v Speaker 4>But you know, ultimately we are all human and it's

1:05:15.880 --> 1:05:19.160
<v Speaker 4>nicer to believe that something will succeed than that it

1:05:19.200 --> 1:05:22.000
<v Speaker 4>will fail. I mean, you might not think I'd be

1:05:22.080 --> 1:05:23.440
<v Speaker 4>much fun at cocktail parties.

1:05:23.240 --> 1:05:23.800
<v Speaker 3>Although I am.

1:05:24.600 --> 1:05:28.360
<v Speaker 2>And the book is available for free at Fintech Dystopia

1:05:29.040 --> 1:05:33.400
<v Speaker 2>dot com dot com. Let's jump to our final questions,

1:05:33.480 --> 1:05:36.880
<v Speaker 2>our favorite questions we ask all of our guests, starting

1:05:36.920 --> 1:05:41.040
<v Speaker 2>with tell us about your mentors who helped steer your career.

1:05:42.520 --> 1:05:46.040
<v Speaker 4>So my first mentors probably my first law firm partner

1:05:46.160 --> 1:05:53.160
<v Speaker 4>boss in Australia, Stephen Kevinnagh, and I had thought I

1:05:53.280 --> 1:05:56.800
<v Speaker 4>was going to be an ip lawyer, but we had

1:05:56.800 --> 1:05:59.720
<v Speaker 4>a rotation system and we ended up and I ended

1:05:59.800 --> 1:06:04.520
<v Speaker 4>up in his financial services practice and he was just

1:06:04.520 --> 1:06:06.200
<v Speaker 4>a wonderful person to work for. It was a time

1:06:06.240 --> 1:06:08.840
<v Speaker 4>when the law had just changed in Australia and he

1:06:08.920 --> 1:06:13.160
<v Speaker 4>really was willing to hear what I had to say

1:06:13.240 --> 1:06:17.840
<v Speaker 4>about this new law, and so it was just I

1:06:17.920 --> 1:06:20.880
<v Speaker 4>just felt very invested in and that was lovely. And

1:06:20.920 --> 1:06:25.560
<v Speaker 4>then I think as an academic Patricia McCoy, who I adore,

1:06:26.400 --> 1:06:29.040
<v Speaker 4>sort of, I have had a very non traditional path

1:06:29.040 --> 1:06:31.720
<v Speaker 4>to academia. I had more practice experience than is usually

1:06:31.720 --> 1:06:33.800
<v Speaker 4>the case. I had fewer of the bells and whistles

1:06:33.800 --> 1:06:37.560
<v Speaker 4>credentials that people usually have. And again, she just saw

1:06:37.840 --> 1:06:43.200
<v Speaker 4>in me someone who was really passionate about preventing financial crises,

1:06:43.280 --> 1:06:46.920
<v Speaker 4>about sort of systemic risk, and sort of was willing

1:06:46.960 --> 1:06:49.720
<v Speaker 4>to look through the fact that I wasn't as polished

1:06:49.720 --> 1:06:52.240
<v Speaker 4>as most of the other people trying to enter academia

1:06:52.320 --> 1:06:54.360
<v Speaker 4>and support me, and I was very grateful for that.

1:06:54.840 --> 1:06:58.120
<v Speaker 2>We've talked about a run of different books. What are

1:06:58.120 --> 1:07:00.479
<v Speaker 2>some of your favorites? What are you reading now?

1:07:01.280 --> 1:07:03.600
<v Speaker 4>Oh, I was an English lip major, so I have

1:07:03.640 --> 1:07:08.320
<v Speaker 4>a many favorites. I'm very into the dystopian track, so

1:07:08.440 --> 1:07:11.920
<v Speaker 4>Handmaid's Tale nineteen eighty four. I just finished the Parable

1:07:11.920 --> 1:07:14.320
<v Speaker 4>of the Sewer in that Vein, which was parable of

1:07:14.360 --> 1:07:20.120
<v Speaker 4>the Parable of the Sewer Octavia Butler. I also have

1:07:20.200 --> 1:07:22.800
<v Speaker 4>always had a soft spot for really good children's literature,

1:07:22.920 --> 1:07:27.320
<v Speaker 4>So Philip Pullman's Dark Materials trilogy is one of my favorites.

1:07:27.480 --> 1:07:32.200
<v Speaker 4>And right now I'm reading with my kids Catherine Rundell's

1:07:32.240 --> 1:07:37.040
<v Speaker 4>books Impossible Creatures and The Poison King, and it's just

1:07:37.080 --> 1:07:40.400
<v Speaker 4>they're just so good. And then work wise, I've just

1:07:40.480 --> 1:07:43.800
<v Speaker 4>started Jacob Silverman's Gilded Rage, which is very much on

1:07:43.880 --> 1:07:46.120
<v Speaker 4>point for the conversation we're having Gilded Rage.

1:07:46.280 --> 1:07:49.800
<v Speaker 2>You know, we talked about a few crypto related books.

1:07:49.840 --> 1:07:55.200
<v Speaker 2>Did you see Zeke's number go up? It really is

1:07:55.480 --> 1:08:00.880
<v Speaker 2>just an astonishing, astonishing work. What sort of advice would

1:08:00.880 --> 1:08:03.880
<v Speaker 2>you give to a recent college grad interested in a

1:08:03.960 --> 1:08:10.280
<v Speaker 2>career on whether it was law, financial technology, regulation, what's

1:08:10.280 --> 1:08:11.480
<v Speaker 2>your advice to those people?

1:08:11.800 --> 1:08:14.080
<v Speaker 4>It's a really hard time for them. And I talk

1:08:14.200 --> 1:08:16.439
<v Speaker 4>to my students a lot about the careers, and you know,

1:08:16.520 --> 1:08:18.479
<v Speaker 4>things are the ground is shifting under our feet, and

1:08:18.479 --> 1:08:21.400
<v Speaker 4>in this time of uncertainty, really it's really hard to

1:08:21.439 --> 1:08:25.839
<v Speaker 4>figure out what to do. So I would recommend investing

1:08:25.840 --> 1:08:28.559
<v Speaker 4>in the fundamentals, and I think it's hard to do

1:08:28.680 --> 1:08:31.920
<v Speaker 4>when AI is being pushed, but becoming a good communicator,

1:08:32.240 --> 1:08:35.479
<v Speaker 4>learning how to write and speak to people clearly will

1:08:35.520 --> 1:08:36.120
<v Speaker 4>never I.

1:08:36.080 --> 1:08:39.160
<v Speaker 3>Think, go out of fashion. And investing in relationships.

1:08:39.160 --> 1:08:41.479
<v Speaker 4>Again, we're in this time where everything is sort of

1:08:41.479 --> 1:08:43.599
<v Speaker 4>becoming technologized and atomized, et cetera.

1:08:43.720 --> 1:08:46.559
<v Speaker 3>But in my career, having good.

1:08:46.439 --> 1:08:48.840
<v Speaker 4>Relationships with people, and I'm pretty sure you'll agree with

1:08:48.880 --> 1:08:52.120
<v Speaker 4>this has been one of the most successful things that

1:08:52.160 --> 1:08:55.439
<v Speaker 4>has helped me along the way. And so just investing

1:08:55.439 --> 1:08:59.360
<v Speaker 4>in personal relationships I think is always good advice.

1:09:00.000 --> 1:09:05.440
<v Speaker 2>Final question, what do you know about the world of fintech? Investing?

1:09:06.080 --> 1:09:09.760
<v Speaker 2>Regulation today might have been useful twenty twenty five years ago.

1:09:12.200 --> 1:09:16.439
<v Speaker 4>Honestly, I'm not sure that there's much because the world

1:09:16.479 --> 1:09:19.479
<v Speaker 4>was very different twenty to twenty five years ago. You know,

1:09:19.560 --> 1:09:25.040
<v Speaker 4>I always just invested in in index funds basically, and

1:09:25.600 --> 1:09:29.519
<v Speaker 4>you know, and that worked out frankly great, really well.

1:09:29.640 --> 1:09:33.880
<v Speaker 4>The challenge is, and I study financial crises, the challenge

1:09:33.960 --> 1:09:37.480
<v Speaker 4>is that when things go horribly wrong, everything is correlated.

1:09:37.960 --> 1:09:39.040
<v Speaker 3>Everything is correlated.

1:09:39.080 --> 1:09:41.559
<v Speaker 2>All correlations go to one in a crisis, for sure.

1:09:41.680 --> 1:09:45.480
<v Speaker 3>And I think we're on the brink of a crisis.

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<v Speaker 2>When you say on the brink, days, weeks, months, years.

1:09:49.800 --> 1:09:50.160
<v Speaker 3>Ah well.

1:09:50.240 --> 1:09:52.920
<v Speaker 4>John Maynard Kaine said that the markets can stay irrational

1:09:52.960 --> 1:09:54.880
<v Speaker 4>longer than you, and I can stay solvent, so I

1:09:54.920 --> 1:09:56.400
<v Speaker 4>will never put a time.

1:09:56.280 --> 1:09:56.840
<v Speaker 3>Frame on it.

1:09:57.040 --> 1:10:00.559
<v Speaker 4>But I you know, all warning indicators are flat read

1:10:00.600 --> 1:10:02.479
<v Speaker 4>at the same time as we are pulling back old

1:10:02.520 --> 1:10:05.439
<v Speaker 4>regulatory apparatus, So I think it's safe to say we're

1:10:05.520 --> 1:10:06.800
<v Speaker 4>on the brink of a crisis.

1:10:06.880 --> 1:10:11.480
<v Speaker 2>How could that ever go wrong? How could regulation unleaches

1:10:12.120 --> 1:10:14.880
<v Speaker 2>the animal spirits? As long as we're talking about canes,

1:10:16.560 --> 1:10:22.400
<v Speaker 2>it's all good. Perhaps not, perhaps not? Hillary, Thank you

1:10:22.479 --> 1:10:25.280
<v Speaker 2>so much for being so generous with your time. We

1:10:25.400 --> 1:10:28.840
<v Speaker 2>have been speaking with Hillary Allen, professor of law at

1:10:28.840 --> 1:10:33.680
<v Speaker 2>American University Washington College in DC and author of the

1:10:33.800 --> 1:10:39.800
<v Speaker 2>book available for free online, Fintech Dystopia, a Summer beach

1:10:39.880 --> 1:10:44.320
<v Speaker 2>read about how Silicon Valley is ruining things. If you

1:10:44.520 --> 1:10:47.840
<v Speaker 2>enjoy this conversation, well check out any of the six

1:10:48.000 --> 1:10:52.719
<v Speaker 2>hundred previous discussions we've had over the past twelve years.

1:10:53.040 --> 1:10:57.560
<v Speaker 2>You could find those at iTunes, Spotify, YouTube, Bloomberg, or

1:10:57.560 --> 1:11:02.280
<v Speaker 2>wherever you find your favorite podcast. I would be remiss

1:11:02.280 --> 1:11:04.479
<v Speaker 2>if I didn't thank our crack staff that helps put

1:11:04.520 --> 1:11:10.840
<v Speaker 2>these conversations together each week. Alexis Noriega is my video producer.

1:11:10.960 --> 1:11:16.760
<v Speaker 2>Sean Russo is my researcher Anna Luke is my podcast producer.

1:11:17.280 --> 1:11:21.320
<v Speaker 2>I'm Barry Ritolts. You've been listening to Masters in Business

1:11:21.840 --> 1:11:23.600
<v Speaker 2>on Bloomberg Radio.