0:03
Hello everyone and welcome back to conversations with Tyler.
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Today I'm here with Sebastian Mallaby, who is the author of numerous excellent books on economics, politics, and current affairs.
0:14
He is a senior fellow at the Council on Foreign Relations, a contributing columnist to Washington Post, and most importantly, he has a new excellent and very well-reviewed book out called The Power Law, Venture Capital and the Making of the New Future. Sebastian, welcome.
0:31
Great to be with you, Tyler.
0:34
Do the observed high returns to venture capital funds constitute a counterexample to the theory of efficient markets? Yes. Why does it continue?
0:44
Why doesn't capital just flow into the sector and bid down the returns?
0:49
Well, maybe that's what we've been seeing just in the last 3 years or so with enormous amounts of money coming in during the pandemic and quite possibly there will be a correction.
1:01
Um you're asking, I guess, a more subtle question about whether on a sustained basis money would flow in and bid away the returns.
1:08
And I think the point here is that anytime you're dealing with alternative asset managers, whether it's hedge funds or venture capital, um it's the skill that you need and the money may be limitless, but the skills and the connections in Silicon Valley and what have you, that is not unlimited.
1:28
And so, skill can continue to generate good returns.
1:35
So, in that underlying mental model, the excess returns can stay more or less forever, right?
1:39
More capital coming in won't bid down the returns much. I think that's right.
1:45
I mean, you know, the returns have been pretty good at least for the better uh venture capital funds.
1:51
And here, you know, we we may want to come back to that caveat, but you know, going back to the beginning of the story in the '60s with Arthur Rock, the pioneer of venture capital, right through to today, uh you do see good returns.
2:05
I mean, Sequoia, which I regard as the top venture capital partnership in Silicon Valley, has uh generated returns of uh about 12 times um investors' money uh this century.
2:21
So, you you know, that's that's 12x. That's uh 1,200%. It's pretty good.
2:27
So, why isn't that skill replicable if the returns to replicating it are so high?
2:33
Well, you know, I think there's a sort of uh inefficient markets thinking.
2:40
Um there is a sort of notion that you can assume away skill um and that if skill is good, you could just make more of it uh and that would mean that you would compete the returns down.
2:52
I think some of the skill is so far off in the tail of the distribution that it's quite hard to replicate it.
3:01
Um I mean, a really good venture capitalist combines technical knowledge of what he or she is investing in, whether that's biotechnology or computer science, plus business feeling, plus the uh sort of skill of networking with people and putting teams together.
3:19
Um and a phenomenal energy, you know, because you've got to be out there getting up in the morning for one breakfast with one potential person you might invest in and then doing 14 cups of coffee uh before you go to bed and being that wired, you still sleep.
3:30
Um you know, I I it's it is tough to find enough people like that.
3:37
And you know, maybe we're going to discover that the last four or five years of boom have sucked in so much talent um that it will be competed away.
3:47
That could be true, but uh so far it hasn't happened.
3:51
What do you think of the view that in recent years there's been a huge consumer retail tech boom?
3:54
Basically Fang stocks, right?
3:58
And when that is over, it might be over now, the excess returns to VC will go away.
4:02
If you look at venture capital for biotech, which has been hammered lately as we're speaking here late January 2022.
4:11
And maybe venture capital is a limited model for one period of time, and otherwise it just does okay. True or false? False.
4:18
Um I say that because in the cyclical sense you might be right.
4:23
But I think there's a deep structural uh shift which is really important.
4:26
And that is that intangible capital has become more and more important in our economy.
4:34
And the nature of intangible capital is that it's hard to measure it in financial reports.
4:39
And so to understand whether a particular software investment, for example, is worth a huge amount or really nothing, you kind of need to understand what that software development within the company is doing.
4:51
And so you need to be hands-on.
4:54
You need to have the technical skills to evaluate that software project.
4:56
Um and and and that's, you know, the the more that intangible capital rises as a share of new GDP creation, the more this venture style hands-on um expert investing is going to be valuable.
5:15
Your explanation, if I understand it, to me seems to suggest that venture capital for biotech won't work very well.
5:20
So you're portraying it as something that's very, very hard to do, a very limited skill.
5:26
So you're going to be wrong a lot of times.
5:28
So that means the times you're right, the product has to be scalable very rapidly.
5:32
But in biotech, there there's regulators, right?
5:35
You often need a sales force.
5:38
It's not scalable in the way that say LinkedIn or or Netflix are scalable.
5:40
So doesn't that mean VC will just stay limited to a very small area.
5:46
Those things that are super rapidly scalable or if you think it's pretty easy to pick winners, then you have to think the rents get exhausted. Yeah.
5:56
Well, I mean, this is a version of a of actually a wider debate which goes beyond biotech which is sort of the claim that venture capital is really only good for software projects.
6:06
That it, you know, software can be scaled very very fast.
6:11
There are network effects once you get product market fit.
6:16
Um and you don't need much capital.
6:16
The the you know, the marginal cost of um serving one more customer is pretty much zero once you've built the Google search engine.
6:26
Um and so people will argue, "Look, you know, that's all that venture capitalists do."
6:31
That is for sure historically inaccurate.
6:34
I mean, there's a long history of venture investing which was more about hardware uh than software.
6:40
You know, it was about Apple computer.
6:42
It was about UUNET building the pipes of the internet.
6:44
It was about compact uh computers.
6:46
It was about semiconductor firms uh and so forth.
6:51
So, we we know the software version of this argument that venture capital only does, you know, cheap-to-scale software. That that's just wrong.
6:59
Um now, biotech I agree is a tougher example. It's more regulated.
7:04
Uh and historically, you know, there have been cases early on like Genentech which went public in 1980 with the first artificial insulin.
7:12
Huge huge venture return.
7:16
Really set Kleiner Perkins on the way to dominance over the next two decades in Silicon Valley in terms of venture investing.
7:23
But that's an outlier and it's true that health care investing has been tougher and less profitable and a lot of companies have withdrawn from that.
7:29
But I think the past isn't necessarily a guide to the future and the fun thing about venture is that you have to be watching to see where basic science is generating innovation that can be commercialized.
7:43
And the thing that didn't necessarily do that for a long time might be the thing that does it in the future.
7:49
Now you've had you know, a bunch of innovations from gene sequencing to CRISPR which makes it faster and easier to develop new drugs.
7:58
Those drugs can have huge consequences.
8:01
I mean Moderna the coronavirus vaccine from Moderna is a good example of this.
8:08
And I think that it would be wrong to rule out the idea that even pretty capital intensive regulation intensive sector like biotech you know, I think it might still work.
8:21
But what then in your mental model does limit the size of venture capital?
8:24
Because as a percentage of entire capital flows, it's pretty tiny, right?
8:28
Much smaller than private equity.
8:28
What if the margin makes venture capital not work?
8:36
You're right, it's small.
8:36
And the paradox is that the impact is big.
8:41
I mean just a couple of numbers on that.
8:42
Fewer than 1% of companies that get formed every year receive venture capital backing.
8:50
But if you look at the years since 1995, half of all the companies that go public got venture backing and three quarters of the market cap from those companies derived from venture backed companies.
9:02
So tiny share get the money, less than 1%, but three quarters of the market cap is the result.
9:10
So I mean that's the first point.
9:11
Just cuz it's small doesn't mean it has low impact.
9:15
I think at the limit to answer your question directly there are things which are either so capital intensive like building a new semiconductor fab you know, where you're really in the billions from from the get go where that's you know, it just venture doesn't do that.
9:33
It it's it's about Capital's not that scarce, right?
9:40
Yeah, I mean venture's advantage maybe helps to answer why sometimes it has a disadvantage.
9:47
So, one of the advantages that is the idea of stage-by-stage financing.
9:51
So, you give the company a bit of money, and then if it fails early, it fails cheaply cuz you haven't given it a huge check right from early on.
10:04
Um and something which is going to definitely take an enormous amount of money up front like a new semiconductor fab semiconductor fab is is not the right I mean just the in terms of comparative advantage, venture conceivably could raise that amount of money, and could conceivably go finance that.
10:22
It just wouldn't be the natural sweet spot, and it would be better to leave that to, you know, TSMC or Samsung or some established um maker of semiconductors.
10:34
Now, as you know, Sequoia has changed its rules so that it can now hold investments for much longer term periods than had been the case.
10:42
Uh if you extend this to its logical conclusion, you could imagine a future 10-15 years from now where hedge funds, VC firms, a lot of other financial intermediaries are all blended mixes of doing varying combinations of similar things.
10:58
10 or 15 years from now, what do you think will be the unique feature of venture capital?
11:02
Or do you think everything will be a blend? That's a great question.
11:06
I mean, I I would say that you know, the useful definition of venture capital is that it is an early-stage venture, an adventure in fact.
11:14
Uh and when you get to investing in companies which are more than about $500 million in market cap, that's a different thing. That's growth equity.
11:24
You know, I don't call that venture anymore.
11:26
And the reason I picked $500 million as as a as a number is that when Amazon went public in the late '90s, its public market cap when it IPO'd was was between 400 and 500 million.
11:41
Um and now what's happened is that the IPO point has been delayed because you've got this ability to raise late-stage uh growth capital.
11:51
And um more and more checks are being written, 100 million, 200 million, 300 million into companies that are worth 1 billion, 2 billion, 10 billion.
12:00
And you know, that is being grafted into traditional venture partnerships like Sequoia Capital.
12:05
So, I write a lot about Sequoia and you know, one of the amazing things is how much franchise risk they've been willing to take.
12:12
They were a traditional early-stage investment shop in 2000.
12:16
And then they grafted on this growth equity business, they grafted on a hedge fund business, they built an endowment fund on top of that.
12:26
And now as you say, they've got permanent capital.
12:27
Uh so, they're going to end up with multiple business lines, a bit like Goldman Sachs has multiple business lines.
12:33
But I think the venture capital portion of Sequoia's business will remain the early-stage part.
12:40
Even after the pandemic, it's striking to me how much venture capital uh remains concentrated in the Bay Area.
12:48
The major deals are mostly done there.
12:50
What's your mental model for that?
12:53
Well, I think the sort of the lesson of Silicon Valley um is that agglomeration effects or clustering effects are actually even bigger than economics has traditionally explained.
13:07
In other words, economics um and I, you know, did some reading when I was writing my book about you know, um sort of economic geography and that whole literature.
13:16
And the traditional story about why uh a cluster is a productive thing is that you get better matching between the skills of workers and the needs of companies when you have a very deep labor market.
13:31
So, if you're talking about, you know, coding uh and a company wants to hire a particular database engineer in a particular kind of database software, in Silicon Valley, there will be the precise type of engineer that you want.
13:45
Uh whereas if you're in a less deep pool of labor, you won't find that.
13:48
And the same goes the same argument goes for suppliers.
13:51
If you want to have a supplier that provides a particular kind of bespoke semiconductor, you're more likely to find that um that that supplier locally and be able to sort of go visit them if you're in Silicon Valley than elsewhere.
14:06
That would be why the firms, the startups are clustered.
14:07
Why are the venture capital deals clustered?
14:09
And furthermore, in a funny way, they're anti-clustered.
14:12
Like they're not all in New York, which is our major financial center by a long ways.
14:16
San Francisco is not that, right?
14:20
So, it's a mix of anti-clustering and then some extreme clustering for this set of deals that have some particular features. Yeah.
14:28
Well, I mean, I think that shows you why um venture capital is fundamentally different to the other kinds of capital that are going on on the East Coast and in Greenwich, you know, in New York and Greenwich and so forth.
14:38
I mean, it's just a totally different thing.
14:40
I always like to say, you know, the the kind of post-war archetypical financial companies on the East Coast, the archetypes were Prudential and Fidelity, and their names tell you a lot about their attitude to risk, right?
14:53
They were about stewarding capital and not losing it.
14:55
This kind of high-risk, power law return um you know, grand slam business that emerged in venture capital on the West Coast is utterly different.
15:04
So, it's not surprising that we would have an anti-cluster, a different center for that kind of financing.
15:09
But I think it clusters because this is a business where people syndicate into each other's deals, right?
15:16
So, one venture capitalist will lead the Series A round financing a company, and then another one will lead the series B and another one the series C.
15:25
Um often a single round like the series C will have multiple investors in it.
15:31
And it's just economical for the entrepreneurs to be able to visit a whole bunch of different VCs and pitch to 10 of them without having to get on a plane and fly around.
15:41
Um so I think there are clustering effects and also just sort of you know that the circulation of ideas people and money within the clusters which is something that venture capitalists facilitate uh works better when it's concentrated geographically.
15:59
And that's why you know at least until the last 10 years um when perhaps we've gotten to the point with the zoom uh and remote work and so forth where this is less true than it used to be.
16:12
But I think the the agglomeration effects were really very very powerful and venture capital needed to be clustered to be most effective and that's why you got the Silicon Valley dominance.
16:22
When is venture capital more effective versus when is angel investing more effective?
16:28
Angel investing wasn't really a factor until the mid-late 1990s.
16:34
Um once it became a factor and and it that happened because just venture capital means sorry Silicon Valley had reached a point of maturity where there were enough rich exited entrepreneurs who had made money starting their own companies and then wanted to turn around and fund some younger people who looked a bit like them.
16:53
Um that's what happened with Google.
16:55
Google could raise you know a million dollars in 1998 before going to any venture capitalists because angels had become a thing.
17:01
One of them was Jeff Bezos of Amazon.
17:05
Another was Andy Bechtolsheim uh who had funded started Sun Microsystems sometime before.
17:11
So um once you get angels then I I entrepreneurs are going to want to use them.
17:16
Because they're kind of friendly, um they're typically people who know a lot technically, and that you relate to, you look up to when you're a founder.
17:27
And so, I think angels are useful um for the first round of money, the first amount of mentoring.
17:34
And then when you get a bit more further along in your company, you want the series A, which means more money and more formal company structuring, uh a more a sort of tougher, clearer sense of what your next milestone is that you have to reach, otherwise you'll be shut down, then you go to the proper VC.
17:52
True or false, good CEOs make good VCs? Not always true.
17:57
So, as a as a generalization, I would say false.
17:59
I mean, the premise of Andreessen Horowitz, um the venture partnership set up in uh 2009, was that to be a good venture capitalist, you had to be uh an entrepreneur.
18:15
And you had to have run a company and understood what a startup is like from the inside.
18:20
And that just turned out to be false.
18:20
Um and Andreessen Horowitz has now given up the rule that to become a partner at the company, you have to have been a former founder of a company yourself.
18:30
Cuz it just isn't the best way necessarily.
18:32
It's one way you can choose um a good venture capitalist, but it's not the only way by any means.
18:39
Why has Mike Moritz been so good at VC?
18:44
Wow, that's a great question.
18:44
I think he was um willing to do two things.
18:49
Um when it came to company founders, he had the ability to enlarge their sense of themselves, of of that he he could intuit what they were doing.
19:01
He could get on people's wavelength, and not only understand them, but sort of understand them better than they understood themselves, and see more potential in their project than even they thought when they looked at it.
19:13
So, you know, the first example of this is is Yahoo.
19:18
Uh where, you know, Jerry Yang um and David Filo were, you know, in their um sort of porta-cabin on the Stanford campus and they thought they were building a hobby type thing and they were sort of proud of Yahoo as a directory of the emerging internet.
19:33
But, you know, Moritz showed up, listened, understood, and said, "You know, this is the new Apple.
19:42
You are going to make something with a quirky name.
19:43
Apple was quirky, Yahoo is quirky.
19:46
You're going to have a brand and you're going to be the face of a new phase in tech history."
19:50
So, he enlarged their sense of themselves.
19:54
And he was just great at delivering that kind of call to greatness speech.
19:57
You know, he sat down at PayPal uh with one of the uh founders of of PayPal uh who was resisting the idea of a merger with the Elon Musk rival, which was called x. com.
20:13
Uh and he said to him, "Listen, you know, if you do this merger, I will never sell stock in the company and you will build something that makes history in the Valley."
20:21
And that sort of call to greatness, you know, was inspiring. So, that's one thing.
20:25
That EQ to to get the best out of people and and and make them be even more ambitious than they already were.
20:34
The other thing Mike Moritz did is he risked the franchise of Sequoia.
20:36
You know, he did a bit what I was talking about before.
20:39
He was willing to go into China, which was a whole different challenge, uh go through a period when he had to fire the uh co-founder of Sequoia China because it wasn't working out, but stick with it.
20:52
And if you ask the question, "What is the top venture capital company in China?"
20:58
The answer is Sequoia China.
20:58
It's the same as the answer to the question, "What's the top venture capital company in Silicon Valley?" It's Sequoia.
21:06
So, Mike Moritz is able That's a bit anti-clustering that point, right? It is. Yes. Yes.
21:10
So, China requires a whole uh and in a way it's a way it's a kind of confirmation.
21:18
I would you're going to say I'm twisting the the argument here, but China of course has its own ecosystem when it comes to technology because the government erects these barriers which makes it tough for US companies to compete there.
21:30
And so, Chinese giants have dominated Chinese tech.
21:34
But they've been funded at least in the early phase of the digital economy in China almost always by American uh venture capital companies.
21:43
So, Sina, Sohu, NetEase, the the early sort of um web directories in China all funded by Americans.
21:53
Then you've got Baidu, Alibaba, Tencent, Ctrip.
21:55
All of these companies uh backed by Western VCs.
22:00
And so, what it shows you is that in the just in the same way that in Silicon Valley the VCs came in and built this cluster which had great circulation of ideas and people and money around the ecosystem so too they repeated the same trick in China.
22:16
And they built a new It's not really quite as tight of a cluster because it's split between Hong Kong and Shanghai and and even Hangzhou and Beijing.
22:23
Um so, it's not like Silicon Valley.
22:26
It's It's multiple cities.
22:27
But it is a kind of China cluster unto itself.
22:30
Um but but interestingly built with the same Silicon Valley DNA, the same lawyers, incorporation in the Cayman Islands for companies, use of American style employee stock options which, you know, were just not a thing in China until American Silicon Valley lawyers showed up in China and explained to people how stock options worked.
22:55
What has made Peter Thiel such a successful venture capitalist and angel investor?
23:01
Peter Thiel is fascinating because he articulated um more fully the idea of the power law uh than anybody else before in venture capital.
23:12
I mean, the early VCs I studied had the idea.
23:15
They didn't call it the power law, but they had the idea that one or two bets in a portfolio of 10 would would make all their money.
23:24
Um but Peter Thiel not only articulated it and took it further, but he then actually designed his investing and his company to to even greater extent around that concept.
23:36
So, the logic of the power law is that if all of your money will come from a couple of outlier bets, you better bet on outliers.
23:44
It's no good betting on something that looks normal because then everybody else will be doing a similar thing.
23:51
You won't be differentiated.
23:52
You won't have a moat around your company and you won't you know, you won't make supernormal returns.
24:00
So, Thiel's logic was if you're looking for those really crazy, you know, 20x, 30x, 40x wins you want to bet on people who are themselves a bit out of the box.
24:13
And so, you know, he makes a a joke and in fact he boasts about the fact that the majority of his co-founders at PayPal had made bombs in high school.
24:23
That Elon Musk uh one day when he was uh driving him along Sand Hill Road on the way to a meeting at Sequoia you know, trashed his um supercar.
24:31
I think I can't remember if it was a Ferrari or some other fantastically expensive car.
24:39
You know, span it around, you know, ruined it and was laughing his head off because he didn't have insurance.
24:43
And this is sort of Yeah, that strategy seems entirely replicable, right?
24:48
Anyone can take a lot of chances on smart eccentrics.
24:50
Like what does Peter have that is not so easily replicable?
24:56
Well, you have to be you know, it's a so the key point is even when you decide you're going to bet on on out-of-the-box people who look as if they're in the tail, there's still a difference between smart bets on the tail and bad bets on the tail.
25:16
And to make the smart bets, you do have to have a view and and an understanding of where technology is going.
25:25
Um you've got to skate to where the puck will be, which means you have to think forward, you know, okay, so we've you know, just think about Facebook where Peter Thiel did this you know, famous angel bet that that um is probably one of the best bets in US venture capital ever.
25:42
Um so how did he do that?
25:42
Well, um he first of all was not put off by the fact that this was an eccentric 19-year-old Harvard dropout who wouldn't look you in the eye.
25:54
Um and that the business partner of this guy was Sean Parker who'd been fired by VCs from his past two companies.
26:01
Um so he had to look through that stuff.
26:04
Uh but he also had to understand that with the coming of um you know, that with with with with the coming of with with the ubiquity of the internet, new kinds of communication would happen.
26:17
And that this idea of social media, which had been tried and failed in other examples like Friendster, you know, just because it had failed a couple of times in early iterations, social media could still be made to work if you did it right.
26:31
And and that's what he bet on and it was you know, it was it was still a long a long shot bet, but but it was a very high outcome bet if it went right.
26:41
Have you ever been tempted to try VC yourself and do you think you'd be good at it?
26:46
You're smart, you know the history of venture capital quite well.
26:51
Um you know, no, I think because I enjoy what I'm doing.
26:57
It's true that whenever I spend 5 years on a project, which is how these how long these books kind of take me.
27:04
Um, my my objective is to get into the cockpit with the people I'm writing about and fly around the landscape and really understand how the world looks through their eyes, to explain their thought process to people and so I wind up trying to think like them.
27:20
Um, and my critics would say I write as if I was one of them and I'm not critical of enough of the subjects I'm kind of write.
27:28
But, you know, my feeling is there's enough anger and um, you know, mistrust in the world.
27:33
I don't particularly want to add to that, but I would like to add to understanding so I I'm happy to be, you know, to plead guilty to trying to get into the skin of the people I'm trying to write about, but it doesn't mean I want to be them.
27:45
Ultimately, I'm happy uh, being a writer. Well, you're happy.
27:49
They might be happy doing something else.
27:51
Uh, Mike Moritz was happy writing about soccer, right?
27:57
He wrote a book about Alex Ferguson.
27:59
But, what's the non-replicable feature that that they have and you think you don't have?
28:05
Um, well, look, I think it would be helpful to be uh, more technical than I am.
28:10
I mean, most VCs uh, have an engineering degree or something or if they don't have that, they But, Peter Thiel's not very technical in that sense, right?
28:17
And he's one of the very best.
28:21
That's true and Michael Moritz also it fits that that model. Yes.
28:24
So, there are clearly um, exceptions.
28:28
Um, you know, Peter Thiel had started PayPal uh, before he became a venture capitalist and I think that was important.
28:35
Um, you know, he's also somebody who was deeply in that network.
28:40
I mean, he came from you know, he just so happened to come from Stanford, Silicon Valley. That was his roots.
28:46
Uh and so he was embedded in the network with people and that's a very valuable thing and you know, the PayPal mafia um tells you a lot about, you know, some of his returns come from the experience of having been deep in the trenches with people who were technical um and and backing them repeatedly.
29:05
Um so, you know, Elon Musk was his business partner at PayPal.
29:12
Also his business rival at PayPal.
29:12
They would fight each other and there was a famous coup when Elon went on um you know, honeymoon and he was fired from being CEO and Thiel was put in instead.
29:23
Um so, it wasn't all uh you know, love and and roses, but but nonetheless Peter Thiel backed uh SpaceX when um Elon Musk needed capital.
29:34
So, that embeddedness in the network I don't have.
29:37
Uh although I spent 5 years, you know, embedding myself enough to write this book.
29:42
Um I don't have the engineer I don't know.
29:44
I mean, I think there are plenty of smart people who can go and be venture capitalist.
29:46
Uh I like the idea that I spent 5 years um getting to know one kind of um business or financial specialty after another and I'm a sort of uh perpetual outside um writer come tourist.
30:02
What are the cultural factors that limit the success of venture capital in South England?
30:08
Because it is not developed a comparable network.
30:09
It's fantastic for science.
30:09
It has London financial center.
30:14
At least two incredibly universities, other academic contributors, yet it hasn't really taken off. Why not?
30:20
So, my theory about this is that you know, the lacking thing has been historically venture capital because you're right.
30:27
I mean uh two I mean, Oxford and Cambridge both have world-class computer science uh faculties in addition to um strength in in human sciences.
30:38
Um Uh and you know, Europe as a whole actually, that's true as well.
30:46
ETH in Zurich is very strong.
30:48
And there are more traded trained computer coders in Europe than there are in the United States.
30:56
Um so there are, you know, and Europe is a big rich consumer market.
30:57
So there are lots of strength in Europe.
31:00
What it's lacked traditionally, people the the kind of traditional line is that it's cultural.
31:05
People don't take risk in Europe.
31:07
You know, they're they're they're they're too keen on working for a big safe institution.
31:11
My view is that when you get venture investors added to the mix that are willing to underwrite the risk of small startups, all of a sudden people are willing to start them because the risk is paid for.
31:24
You can take the risk as an entrepreneur with somebody else's money.
31:28
And if it fails, you'll have burnt up your energy and time, and that's not to be sniffed at, but it will be somebody else's capital that underwrote it.
31:34
Furthermore, you will be helped to hire good people to help you because a venture capitalist will be on your cap table and will use its brand to bring in good people.
31:44
I'm always struck by the story that Eric Schmidt uh told me about why he joined Google as chief executive, which was a very risky move.
31:53
He'd been you know, Schmidt had been um chief executive of another company Intuit before, and he was joining Google that was controlled by these two grad students um who were notoriously, you know, ornery and contrarian and might fire him and didn't particularly like people who were over the age of 30.
32:10
So risk, you know, the my Eric Schmidt knew that going into Google he might get fired.
32:17
But he did it because the venture capitalist involved, John Doerr, said to him, "Look, if they bounce you out, I'll find you another great job somewhere else."
32:26
So that cultural thing about why is there this risk appetite in Silicon Valley?
32:32
It's not something you drink in the water.
32:34
It's not something in the air that you breathe.
32:35
It's venture capital that is de-risking entrepreneurship and the business of joining tech startups.
32:43
But venture capital is mobile, right?
32:45
You you would think it could all spread to South England, which is not a backwater by any stretch of the imagination. Very rarely Correct. And it's happening.
32:51
That's I was going to Yeah, I mean, you're asking the right question and the answer is it should happen and by the way it is happening.
32:58
I mean, uh Sequoia has recently opened an office in London.
33:04
General Catalyst and Lightspeed, two other well-known American VC firms, have also recently set up offices.
33:09
You've got Index Ventures, which is big in uh San Francisco, is also big in London.
33:13
You've got Accel, ditto, big in London as well as big in uh California. This is happening.
33:21
The ecosystem is growing.
33:21
The number of unicorns in Europe is growing exponentially.
33:25
And I predict that um in the next 10 years, uh Europe will grow a lot faster than the US tech ecosystem.
33:34
Geographically, what's the most underrated venture scene?
33:36
Where would you place it?
33:40
Well, it might be Europe as I've just said.
33:41
I mean, another Would you would you say it's like South England or is it Berlin or where exactly?
33:49
Um do you think people underrate I mean, what do they think about Sweden?
33:52
Cuz that's surprisingly hot, right?
33:53
You've got Spotify uh based in Stockholm and all the spin-offs from Spotify, which are bound to come.
34:02
And once you've got a unicorn, which is worth, you know, 50, 60 billion like Spotify is, what that's telling you is that there's a whole cadre of people who have experienced dramatic, intoxicating growth from the inside. They are now wealthy.
34:16
They can start their own new companies, they can become venture capitalists, or they can just become angel advisers to to new startups.
34:24
I would say Sweden is going to is going to step up and just like Seattle has, based off of Microsoft and Amazon, Uh I think the Spotify Halo effect in Stockholm would be pretty big.
34:37
So, it's not just that it's properly rated.
34:38
You think it's underrated.
34:41
Isn't Sweden, Stockholm too small to be like such a big venture scene if network effects are so important, if clustering is so important?
34:49
Doesn't it then have to be London, South England or maybe Berlin?
34:54
I think I would say South England actually is the most underrated precisely because Spotify is visible.
34:59
Sweden's doing just fine, but it seems to me properly rated. Okay.
35:04
So, if we So, going on what you say about um Sweden already being pretty highly rated, then if that's right, I'm happy to agree with you.
35:12
Maybe maybe South England is the most underrated.
35:13
I mean, you know, Graphcore is a great story.
35:18
This is a semiconductor design company and um at the beginning So, there was a moment, I think about 19 Sorry, uh 2017, 5 years ago when um Sequoia decided that uh AI semiconductor chips were going to need to take a leap to a next generation product.
35:41
That all the AI companies that Sequoia dealt with were saying the hardware that they were buying was just not up to scratch.
35:47
Nvidia was good, but you know, it wasn't good enough.
35:49
And so, Sequoia told one of its partners to do a worldwide search uh for the best emerging semiconductor company that was going to to knock it out of the park on AI uh semiconductor design.
36:03
And the partner who lived in uh Los Altos, California in Silicon Valley, began by looking at a company that, you know, guess what, was based in Los Altos, California.
36:15
But he ended up by recommending an investment in a company in Bristol, South England, called Graphcore.
36:22
And that company is now doing terrifically well, and that experience is one reason why uh Sequoia decided to open a company open a an office in London in 2020.
36:34
Now, I have some questions about other topics.
36:36
You have some highly regarded books about hedge funds and about the Fed.
36:39
In the late '90s, the bailout of Long-Term Capital Management, was that a kind of original sin that just set us on a path of bailing more things out at higher and higher price tags?
36:48
Should we have just let LTCM fall?
36:54
No, I think the original sin was Continental Illinois much earlier in 1986, I believe, when the Fed, you know, bailed out this bank um which it thought was too big to fail.
37:08
Um I'm not sure it really was too big to fail, but it was a moment when the Latin American debt crisis was still casting a shadow and the banking system was perceived to be fragile, and the Fed just wasn't willing to let it go.
37:20
That was the original sin because taxpayer money was used to bail it out.
37:24
The interesting thing about Long-Term Capital Management, which people forget, is that the Fed convened the creditors of Long-Term Capital Management at the Fed offices in New York, but it refused to provide any taxpayer money whatsoever uh to backstop Long-Term Capital Management.
37:44
Um and that was salutary.
37:48
And I think if you look at what happened in the 2008 crisis, actually hedge funds were not driving the crisis um because the prime brokers who extend um leverage to hedge funds learned the lesson from LTCM, and they didn't uh extend loans without taking good collateral.
38:09
And so, in actual fact, hedge funds turned out to be the relatively more stable part of the system in 2008, which was a time when insurance companies and investment banks and money market funds and commercial banks and all of these other players cost the taxpayers billions and hedge funds didn't.
38:29
What is it you understand about Alan Greenspan having written a whole book about him that other intelligent educated people do not?
38:39
I think the key thing was the sort of behind the title I chose the book the man who knew.
38:46
The key thing was that Alan Greenspan had written a PhD thesis mostly comprised of papers written in the 1950s.
38:52
Nobody had found that thesis until I found it.
38:57
And when I read it what it told me is that in the 50s in other words right at the beginning of his professional career Greenspan's obsession was with market bubbles stock market bubbles.
39:09
And he was really preoccupied with the way that bubbles could drive recessions in the real economy.
39:17
Balance sheet effects were at the core of his PhD work.
39:20
Now once you understand that it tells you that Greenspan failed in his own tenure at the Fed to prevent the mortgage bubbles bubble from inflating.
39:32
He failed not because he didn't understand about balance sheet effects.
39:38
He knew about balance sheet effects. He was the man who knew.
39:42
He knew more about them than most of the critics who suddenly discovered in 08 balance sheet effects.
39:46
Gee we better go read Hyman Minsky this is a big deal.
39:51
Greenspan knew about them and let and yet he let the bubble go wrong. What does that tell us?
39:55
It tells us that the institution of the Fed was sort of trapped into a position where inflation targeting had become irresistible.
40:06
And they just targeted inflation and paid no attention to asset bubbles.
40:11
And I think that was a big mistake.
40:13
How is Jerome Powell doing?
40:16
Well I think Jerome Powell um is is about to face a huge test as he tightens rates uh starting next month.
40:22
History will uh of course tell us whether he manages to stable stabilize inflation without causing a major recession.
40:29
Uh and that will determine how he's going to go down.
40:34
My guess, here's how I would frame it.
40:36
Um you know, having acknowledged that it's a risky thing to to to stick my neck out here.
40:42
Here's how I would frame it.
40:42
I would say that COVID was this humongous um shock uh to both supply and demand, unprecedented um and the Fed responded in an unprecedented way with a stimulus which as you know was was multiples of what was delivered in 2008.
41:03
And that did get us through um the the COVID downturn with remarkably little uh economic privations uh for for Americans.
41:17
And that is an amazing achievement.
41:19
COVID was tough in many ways in health terms and mental health terms.
41:24
But actually balance sheets of households uh did very well.
41:29
Now, that is a huge achievement.
41:31
You couldn't achieve that without accepting some risk that you would overshoot.
41:36
I mean, how do you how do you target the right amount of stimulus when you're that in in that completely uncharted water?
41:42
And you don't even understand the trajectory of the pandemic, let alone the pandemic's effect on the real economy. So, they took a risk.
41:51
They may have over shorted over stimulated.
41:53
And we'll see if they exit uh whilst you know, without causing a a big recession.
41:59
I think they will and I think that history will judge Jerome Powell to have been uh a very brave risk-taker and actually a success.
42:07
But I have to admit that I could be wrong.
42:10
And do think the Fed was excessively intimidated by the fiscal authority?
42:12
So there's a joint effort going on, right?
42:17
And the monetary authority, fiscal authority, they often want different things.
42:21
Uh do you think it's the case the Fed exactly understood the calculus or was shocked that inflation came in at almost 7% or even an alternative is they secretly welcomed it being that high or they would have preferred it only had been at 4% but the fiscal authority had more power.
42:36
Like what's your mental model of what went on in the government as a whole?
42:40
So there was overshooting but how does the Fed fit into your exact story?
42:46
Yeah, so my sense well my my strong feeling is that the story of Fed capture by the fiscal authority or in other words the president um is wrong.
42:58
Uh that what ever since Paul Volcker um the mental model of the Fed, everybody who works there in including and especially the chairman is that Paul Volcker was a hero.
43:11
He got inflation under control.
43:14
Anti-hero is Arthur Burns in the 1970s.
43:17
He let inflation get out of control.
43:19
You don't want to go down in history like Arthur Burns.
43:23
You want to go down in history like Paul Volcker.
43:25
That and that's just a sort of threshold level that is still a dominant instinct.
43:31
And yes, you know, we've been since around, you know, the early 2000s through this kind of zero lower bound oh inflation is too low worry.
43:41
And so that encouraged some risk-taking with the amount of stimulus and now we've overshot.
43:46
Um but I still think the dominant mental model is don't be Arthur Burns, be Paul Volcker.
43:52
And no amount of pressure from the executive branch would uh wipe that out.
43:57
And especially when you look at the executive branch and you ask okay, so who is the sort of chief economist in this fiscal authority that we're talking about?
44:06
is Janet Yellen, uh the former Fed chair herself.
44:12
Do I think she was trying to subjugate Fed independence? Of course, I don't.
44:15
I think it's a preposterous slander.
44:18
So, I really think that the Fed allowed overshooting not because they were being bullied by the president or by the Treasury, but simply because inflation surprised them on the outside.
44:29
Here's a very easy question.
44:29
Adjusting for risk, do hedge funds even yield supernormal positive returns on net?
44:39
So, it depends on the period you look at.
44:41
I mean, the best way to think about supernormal supernormal positive returns is, I think, simply to say uncorrelated returns.
44:47
I mean, an uncorrelated return which isn't driven by just the market going up, is pretty hard to come by, and a normal return, I think, is zero if you're trying to do that.
45:03
So, any positive return which isn't correlated with with the the stock market benchmark or whatever other benchmark you're choosing is good.
45:11
And in terms of a big diversified pension fund or endowment portfolio, will help your sharp ratio because it's giving you some extra juice to your return whilst without adding to risk because it's not a correlated position, and so when you net out the volatility of your hedge fund exposure with all your other exposures, it's actually volatility dampening. That's the idea.
45:34
So, do they produce alpha? Is the question.
45:36
And when I published my book in 2010 about hedge funds, the best research at the time said that net of fees there was positive alpha, and it was 3% a year between 1995 and the late 2000s.
45:50
That was a pretty strong positive number.
45:53
I think since 2010 the positive number has declined to be much, much smaller, and maybe even to disappear in some time periods.
46:00
I think that happened because of quantitative easing.
46:02
If you think about um hedge funds, what is it that they do?
46:08
Um they get paid to assess risk and price it.
46:13
And if risk spreads are being squeezed and compressed and reduced to almost nothing by the central bank through quantitative easing, uh then hedge funds are going to be paid less for doing their work.
46:25
Um so I think that's why supernormal positive returns, to use your language Tyler, have have have diminished.
46:33
I think they may now come back um because of the end of quantitative easing and the raising of of interest rates in the face of inflation.
46:42
So to ask the same question we discussed with venture capital, what is the non-replicable asset held by the very good hedge funds?
46:50
Otherwise, more capital comes in and competes that excess return away, right? Yes, again.
46:55
I mean, I think the answer to your question is partly that super, you know, capital does come in and compete excess returns away as strategies are discovered.
47:03
So, as you look at the history of of of hedge funds, um there keep on being new strategies that get invented or maybe new areas of finance where old strategies can be applied.
47:18
And so, you know, now we're in a world of big data, which means that new data sets become available to investors.
47:24
You can crunch new sets of numbers using new AI algorithms and develop new insights about patterns that appear to repeat themselves in defiance of efficient market logic, and you can invest on those.
47:41
And the first people to do that will get supernormal returns.
47:44
And then, after a bit, that technique may become uh um understood by enough people that more capital comes in, and the returns get competed away.
47:54
But this is a dynamic Darwinian evolutionary industry.
48:01
And new methods and techniques will be invented as the old ones cease to be profitable.
48:07
So, let's say there are some hedge funds that are quite special, but it seems a lot large numbers are not.
48:10
Yet, they're still doing some version of two and 20 fee structure. How is that sustainable?
48:17
If a large class of hedge funds don't really offer the promise of beating the market. Well, look.
48:23
I mean you have you you know the famous case here is mutual funds where actively managed mutual funds, the last time I looked at the data had a negative return.
48:36
Because the skill that's being purportedly provided uh is less than the fee, even though the fee is just a 1% of assets under management.
48:47
Um so, there you've got you know negative alpha.
48:51
And why do people continue to buy exposure in these money-losing actively managed mutual funds?
48:58
It's because hope springs eternal.
49:00
And people always think that they are investing in the top quintile of clever managers who are going to defy the what the average does.
49:10
Um you know, people go to Las Vegas and gamble, even though they know that the house has better odds than they do as as as the punters.
49:18
So, I think you know at a basic level, it's not so surprising that people continue to invest in uh actively managed hedge funds because they're a better option than actively managed mutual funds.
49:28
And the same would be true of actively managed venture capital, by the way.
49:33
Um so, that's that's part of the answer.
49:37
And but the other part is that, you know, as I was saying over a long stretch of time um hedge funds have produced uh positive uncorrelated returns, which are good for a portfolio.
49:50
The common way that this gets reported in newspapers, which is to say, look, the S&P went up 15% last year, and hedge funds only returned 4%.
49:58
So, hedge funds are a bunch of losers.
50:03
That is financially illiterate, um because you're not comparing apples with apples.
50:06
You need to compare, you know, what the alpha was in the two sets of strategy.
50:13
And by definition, the alpha in the S&P 500 S&P 500 is the benchmark, so it's a correlated return, and the alpha was zero.
50:22
What's interesting is to get some uncorrelated return that then dampens the overall volatility in the rest of your portfolio, because much of your portfolio will be correlated with the benchmark.
50:30
And if you can get this uncorrelated return, that will dampen the rest of your volatility, improve your risk-adjusted return in your total portfolio, and and and make your portfolio better.
50:44
How did Ray Dalio become so rich?
50:47
You know, between us, I mean, I know this is a podcast, but I'll use the expression anyway.
50:50
Between us, um Ray Dalio the man, in my estimation, um you can't answer that question.
51:00
Um I I I feel sometimes when I listen to him that half of what he says is obvious, and the other half is nonsense.
51:09
Uh to the point where, you know, it becomes a parlor game to look at his Ray Dalio's principles and say, you know, gee, if you see an open door, walk through it.
51:19
And was that the way you built the company? I don't think so.
51:20
Um so, I think if you want to understand why Bridgewater did well for a long time, although it's done less well recently, it's not about him.
51:29
It's It's not about the man, it's about the machine he built, right?
51:32
The machine um just, you know, patiently built a research organization that uh carefully built its own model of how markets by scraping data, producing, you know, very precise, clear, um studies of relationships.
51:53
One variable does this, the other one will will do that.
51:57
When you aggregate that knowledge base over time, you build an investment black box that really did work for for quite a stretch.
52:07
Um and I think, you know, based on my conversations with uh people who work for Ray Dalio, um I come away a lot more impressed, frankly, than I do by the public relations stick I've heard from him in the last 5 or 10 years.
52:23
As a writer, which topics in finance and investing do you think are undercovered? Hm.
52:31
I think actually that investing, if you go at it from the perspective of, you know, how does this really make money?
52:37
What what is the source of alpha?
52:40
I think that in general is a bit undercovered.
52:42
I mean, the starting point amongst um a lot of academics, as as your questions in a way have been telling us, is you know, there shouldn't be any returns.
52:53
Alpha should be impossible to to generate.
52:55
To understand how it is generated is difficult.
52:57
It requires a lot of getting close to the subject, getting close to the people who work for the subject, sorting through the nonsense, as I've just tried to do in my answer about Bridgewater.
53:11
Um and I don't think that many people frankly have the time to spend 5 years on one topic and and try to provide an answer.
53:22
And so, that's how I've tried to differentiate, is to is to make 5 years of time to go look at a specialty, and and I hope that is an undercovered thing, uh and therefore that I'm adding value to the to the books which are on the bookshelf.
53:38
Putting aside family connections, your wife being editor of The Economist, but what is it in media or journalism you're especially bullish on? Is it Substack? Is it old-style MSM? Is it whatever?
53:51
Um I'm a big admirer of uh The Information, which is a Silicon Valley media startup.
53:57
It's been going about 10 years.
54:00
Um and the reason I'm a fan is that I think that's the right model for for media startups.
54:05
In other words, I think Substack, where it's a lone writer uh doing a newsletter, can be excellent when you've got an unbelievably talented and energetic and exceptional person.
54:21
Uh you interviewed Tyler Andrew Sullivan uh not so long ago, and I would put him in that category of just an exceptional person.
54:30
Uh and he's If he wants to do Substack, you know, fantastic.
54:34
But, you know, he's exceptional.
54:36
And I think most of the time somebody can be great at a Substack for 3 years, possibly 5 years, but it's pretty hard to sustain that level of focus and energy.
54:49
And if you don't sustain it, you've built up brand over 3 to 5 years, and then you throw it away because you stop or you just go off the boil.
54:56
And therefore, it's more sensible to create a collective journalistic effort.
55:03
And that's what um that's what The Information is doing.
55:06
It's doing it in a particular area, which is tech. It only covers tech.
55:09
It has good people who know what they're doing.
55:13
Uh and it's got a team, and it's building that team, and I think that's terrific.
55:18
As a journalist, you covered Japan for years.
55:20
What do you see as the economic future of Japan?
55:22
They seem to have shrinking population, fairly low growth.
55:27
Uh not much appears to change.
55:27
Is that just going to continue forever, and there'll be a tiny Japan with hardly any people in it?
55:33
Or what's going to change?
55:36
I think Japan has areas of innovation that remain um interesting.
55:42
Uh it's been a while since I lived there.
55:44
I was there uh in the late uh 19 90s.
55:51
Uh no, sorry, the mid-1990s. I take it back.
55:53
Um uh but uh my sense is that in areas like um innovation around provision for uh old age.
56:03
Um you know, that's an obvious area where Japan has a lot of old people and they're doing quite a lot of things to to make that work for society.
56:09
So, the silver economy, as it's called, is something to look at in Japan.
56:13
I mean, it remains a highly educated um sophisticated both in terms of sort of you know, the visual aesthetic side of engineering and the technical side of engineering.
56:25
Um so, although the macro in Japan often looks underwhelming cuz with a declining population and bad um you know, restrictive immigration policies, you're going to get uh a negative path in terms of of macro growth.
56:38
Um nonetheless, there's some some interesting things there.
56:43
If you think about the role of Japanese culture in possibly discouraging risk-taking, is it like South England where you think venture capital can step in and get people to take the risk or just there's no way through that barrier?
56:55
Because there don't seem to be that many new truly excellent Japanese companies at a large scale.
57:01
And Sony mostly sells insurance at this point, right?
57:03
So, what's wrong What's gone wrong with risk-taking in Japan?
57:09
Masayoshi Son, of course, is Japanese.
57:12
Um now, you'll point out correctly that he's Korean-Japanese and that might make all the difference.
57:18
Um he felt marginalized growing up uh because he was Korean.
57:21
Because he felt marginalized, he left Japan in his teens and got into a a degree from UC Berkeley.
57:29
And so, he's a different kind of Japanese person, but he did go back to Japan and build this huge software distributor called SoftBank, and then he parlayed that into this sort of tech investing holding company.
57:41
So, it shows that entrepreneurship is not entirely impossible in Japan.
57:45
Uh I think it could happen, can happen.
57:50
Um I I don't I'm not close enough to it to understand why more of it hasn't happened.
57:55
Who's the greatest living British historian? Uh gosh.
58:00
Um That is a great question.
58:04
Um I would say uh the most entertaining is Niall Ferguson.
58:13
Um There are historians of uh early modern Europe um who who uh Peter I think I'm going to say Peter Goodwin.
58:27
I uh but the fact that I'm blanking on his name shows you that I'm not hugely hugely confident about the answer.
58:33
But so, I'll stick with Niall Ferguson.
58:35
He's He's He's always uh a wonderful writer uh and uh provocative to read.
58:42
What's the the economic future of the World Bank once China stops borrowing from it, which of course at some level has to make no sense?
58:50
Yeah, I mean China for a while, let's say between uh 1990 and 2005, generated just a vast amount of the World Bank's um success, both because you know, it reduced poverty hugely, and that made the global statistics on poverty reduction look good, which made the World Bank look good, and because it just borrowed money and paid it back unfailingly, and that was great for for business.
59:17
Um You're right that with China graduating, it creates a problem, and it also is a problem because China as a shareholder is problematic.
59:27
Um, you know, part of the the reason why the World Bank and IMF worked well for a long time relative to other multilateral institutions is that you had this lead shareholder in the form of the United States which uh basically called the shots.
59:43
And that provided some clarity and strategic direction for both the bank and the fund.
59:50
I think now with China being pretty big and influential within the World Bank it can disagree with the United States on something like, you know, where China should be ranked in the Doing Business report that uh that the World Bank produces.
1:00:05
Uh and this was a famous case where China seems to have put pressure on the World Bank president and as a result or indirectly or something, we don't exactly know uh China got reranked in that uh ranking of where to do business.
1:00:24
And so that's the kind of thing that undermines the World Bank credibility.
1:00:26
So China is problematic both because it's graduated and because it's a tricky shareholder.
1:00:31
Um and I think that it needs to find its way and until the US-China economic relationship goes better at a macro level the World Bank risks becoming the UN Security Council where the P5, the veto-wielding big powers, were at loggerheads on great power politics and therefore just froze the UN and couldn't agree on things.
1:01:00
So if you could pick someone now to head the World Bank unconstrained, whom would you pick and why?
1:01:06
Well, that's another great question.
1:01:06
I think you need somebody who's who would be good at this uh great power politics.
1:01:13
I think Bob Zoellick, when he was head of the World Bank a few years back, was a good choice because he was an American but he was also close to China and understood China.
1:01:24
Um, if you had to pick somebody now, I guess you would go down the list of um, Americans who have been ambassador in China or maybe vice versa.
1:01:34
Um, but uh, I think it would it would take somebody like that who has who has the stature.
1:01:40
I don't have a name that pops into my head, but that's But a young young Bob Zelick is what you want. Bob Zelick, yeah.
1:01:50
Why does classical liberalism seem to be dwindling today?
1:01:52
Admittedly, you may choose to challenge the premise.
1:01:56
But many countries are going in reverse, democracy is not more popular, there seems to be less tolerance of other people's ideas. What's going on?
1:02:04
What's your most fundamental account of that?
1:02:09
I think there's you know, there are lots of strands to this debate and I would just highlight two of them as to sort of set up my answer.
1:02:17
You know, I think fact the fact is that that that liberal capitalism has declined in popularity enormously since the 1990s when we thought that you know, it had won and that you know, Fukuyama's statement was was blunter than other people's when he said that you know, history was ending, but it wasn't different to most people's and um, you know, it really did feel as though other countries were converging around that model.
1:02:46
Now, you know, you poll young Americans and they prefer or they say they prefer what they call socialism.
1:02:52
What they quite mean by that is another debate, but anyway, liberal capitalism is clearly fallen out of favor.
1:02:57
Now, is that because capitalism wasn't as great as we thought it was in the 1990s and now now we're kind of spotting the flaws or is it because it was great, but now it's gone wrong?
1:03:10
Um, and I think there's some truth to the second.
1:03:16
Um, that it was great, but we've allowed some things to go wrong.
1:03:21
In particular, we need more competition um, to prevent both monopoly and monopsony.
1:03:28
Um, we need to do more about state capture by lobbies.
1:03:33
Um, we need to do more about inequality because it's all very well saying you only care about equal opportunity, uh, but income and wealth inequality is okay.
1:03:44
But we know that the latter, the income inequality, bleeds into the former because once you've got really severe inequalities of wealth, um, people can transfer that advantage uh, to their kids.
1:03:59
And so I think, you know, things that happened in the 2000s like the virtual elimination of the estate tax are really, really bad thing.
1:04:07
Um, we need to undo that because it's one thing to say we want strong incentives for entrepreneurship and I'm all for that because I've just written this book about venture capital and I believe in in disruption in the economy and I believe in risk-taking and I believe people should be compensated for taking those risks.
1:04:24
But at the same time, you need to reset to safeguard um, some equality of opportunity and I think things like the estate tax uh, ought to bite and that's really important. Last question.
1:04:37
What's your favorite movie and why? Um, let's see.
1:04:42
I think, um, The Grand Budapest Hotel.
1:04:47
It has a kind of zany surrealistic charm that is irresistible.
1:04:52
So I'm going to pick that as my favorite movie.
1:04:54
And that is an example of venture capital also, right? Yes, that's right.
1:05:00
Sebastian Mallaby, thank you very much.
1:05:02
Again, I'm very happy to recommend to you all Sebastian's new book, all of his old books as well, but the new book is The Power Law, Venture Capital and the Making of the New Future.
1:05:11
Thank you Talia, that was a lot of fun.