2017-03-23 | Competition is for Losers with Peter Thiel (How to Start a Startup 2014: 5)

彼得·蒂尔谈创业战略:从垄断而非竞争中创造价值

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2025-06-07 15:08
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speaker 1: All right, good afternoon. Today's speaker is Peter teal. Peter was the founder of PayPal and palentier and founders fund and is invested in most of the tech companies in Silicon Valley. And he's going to talk about strategy and competition. Thank you for coming, Peter. Awesome. Thanks, Sam. Thanks for inviting me. Thanks for having me. I sort of have A, I have a single Eday fix that I'm completely obsessed with on the business side, which is that if you're starting a company, if you're the founder, entrepreneur starting a company, you always want to aim from monopoly and you want to always avoid competition. And so hence, competition is for losers, something we'll be talking about today. I'd like to start by saying something about the basic idea of, when you start one of these companies, how you go about creating value. And there's this question, what makes a business valuable? And I want na suggest that there's basically a very simple formula that you have a valuable company if two things are, number one, that it creates x dollars of value for the world, and number two, that you capture y percent of x. And the critical thing that I think people always miss in this sort of analysis is that x and y are completely independent variables. And so x can be very big, y can be very small, x can be of intermediate size. And if y is reasonably big, you can still get a very big business. So to create a valuable company, you have to basically both create something of value and capture some fraction of the value of what you've created. And sort of just to illustrate this as a contrast, if you sort of compare the us airline industry with a company like Google on search, if you sort of measure by the size of these industries, you could say that airlines are still more important than search. If you just measure it, say, by revenues, there's 195 billion in domestic revenues in 2012. Google had just north of 50 billion. And certainly sort of on some intuitive level, if you said you were given the choice and said, well, do you want to get rid of all air travel or do you want to get rid of your ability to use search engines? The intuition would be that air travel is something that's more important than search. And this is, of course, just the domestic numbers. If you looked at this globally, airlines are much, much bigger than searor than Google is, but the profit margins are quite a bit less. They were marginally profitable in 2012. I think the entire 100 year history of the airline industry, the cumulative profits in the us have been approximately zero. Companies make money, they episodically go bankrupt, they get recapitalized, and you sort of cycle and repeat. And this is reflected in the combined market capitalization of the airline industry. Es, maybe something of the us. Airline industry, something like a quarter that of Google. So you have a search engine much, much smaller than air travel, but much more valuable. I think this reflects these very different valuations on x and y. So you know if we look at perfect competition, you know there are sort of there's some pros and cons to the world of perfect competition on a high level. It's always this is what you study on Econ one. It's always it's easy to model, which I think is why Econ professors like talking about perfect competition. It's somehow is efficient, especially in a world where things are static because you have all the consumer surplus gets captured by everybody. And politically, it's what we're told is good in our society that you want to have competition, and this is somehow a good thing. Of course, there are a lot of negatives. It's generally not that good if you're involved in anything that's hyper competitive because you often don't make money. I'll come back to this a little bit later. So I think at one end of the spectrum, you have industries that are perfectly competitive. And at the other end of the spectrum, you have things that I would say are monopolies. And they're much stable longer term businesses. You have more capital. And if you get a creative monopoly for inventing something new, I think it's symptomatic of having created something, something really valuable. And so I do think sort of the extreme binary view of the world I always articulate is that there are exactly two kinds of businesses in this world there, businesses that are perfectly competitive, and there are businesses that are monopolies, and there's shockingly little that is in between. And this dichotomy is not understood very well, because people are constantly lying about the nature of the businesses they're in and why this, in my mind, this important is not necessarily the most important thing in business, but I think it's the most important business idea that people don't understand, that there are just these two kinds of businesses. So let me say a little bit about the lies that people tell. And so you, the basic, if you sort of imagine that there was a spectrum of companies from perfect competition to monopoly, the apparent differences are quite small, because the people who have monopolies pretend not to. They will basically say, and it's because you don't want to get regulated by the government. You don't want the government to come after you. So you will never say that you have monopolies. So anyone who has a monopoly will pretend that they're in incredible competition. And on the other end of the spectrum, if you are incredibly competitive and if you're in some sort of business where you will never make any money, you will be tempted to tell a lie that goes in the other direction, where you will say that you're doing something unique that is somehow less competitive than it looks because you will want to differentiate, you want to try to track capital or something like that. So if the monopolies pretend not to have monopolies, the non monopolies pretend to have monopolies, the apparent difference is very small, whereas the real difference, I would submit it is actually quite big. And so there's this distortion that happens because of the lies people tell about their businesses. And the lies are sort of in these opposite directions. Let me drill a little bit down further on the way these lies work. And so the basic law you tell as a non monopoly is that we're in a very small market. The basic lie you tell the monopoly is that the market you're in is much bigger than it looks. And so typically, if you want to think this in sort of set theoretic terms, you could say that a monopoly tells a lie where you describe your business as the union of these vastly different markets. And the annon monopolist describes it as the intersection, so that in effect, if you're a non monopolist, you will rhetorically describe your market as super small. You're the only person in that market. If you have monopoly, you will describe it as super big. And there's lots of competition in it. So some examples of how this how this works in practice. So I always use restaurants as the example of a terrible business. And there's always sort of my idea is that you know capitalism and competition are antonyms, capitism that accumulates capital. A world of perfect competition is a world where all the capital gets competed away. So you're opening a restaurant business. No one wants to invest because you just lose money. So you have to tell some idiosyncratic narrative and you say something like, well, we're the only British food restaurant in Palo Alto. So it's British Palo Alto. And of course, that's too small a market because people may be able to drive all the way to Mountain View or even Menlo Park. And there probably are no people who eat nothing but British food, at least no people who are still alive. And so that's sort of a fictitiously narrow market. There's sort of a Hollywood version of this where the way movies always get pitched is, you know, okay, it's like a college football star. You joins an elite group of hackers to catch the shark that killed his friend. And so now that is a movie that has not yet been made. But the question is, is that the right category or is the correct category it's just another movie, in which case there are lots of those. It's super competitive, incredibly hard to make money. No one ever makes money in Hollywood doing movies, or it's really, really hard. And so you always have this question about, does the intersection, is it real? Does it make sense? Does it have value that one should ask? And of course, there are startup versions of this where you and the sort of the really bad versions, you just take a whole series of buzzword sharing, mobile, social apps, you combine them and you have some kind of narrative. And whether or not that's a real business or not, it's generally a bad sign. So it's almost this pattern recognition. When you have this rhetoric of this sort of intersections, it generally does not work. The something of somewhere is really mostly just the nothing of nowhere. It was like the Stanford of North Dakota, one of a kind, but it's not Stanford. So let's look at the opposite. The opposite lie is if you are, let's say, the search company that's down the street from here and has about a happy 66% market share and is completely dominant in the search market, Google has not, almost never describes itself as a search engine these days, and instead it describes itself in all these different ways. So it sometimes says it's an advertising company. So if it was searched yousay, wow. Like it has this huge market share. That's really, really crazy. It's like an incredible monopoly. It's much bigger than it's a much more robust monopoly than Microsoft ever had in the nineties. Maybe that's why it's making so much money. But if you say it's an advertising market, you could say, well, there's search advertising is 17 billion, and that's part of online advertising, which is much bigger. And then you know, all us advertising is bigger. And then by the time you get to global advertising, that's close to 500 billion. And so you're talking about three point a half percent, a tiny part of this much larger market. Or if you don't want to be an advertising company, you can always say that you're a technology company. And so sorry, let and the technology market is something like a $1 trillion lar market. And the narrative that you tell is Google in the technology market is while we're competing with all the car companies with our self driving cars, we're competing with apple on tvs and iPhones, we're competing with Facebook, we're competing with Microsoft on office products, we're competing with Amazon on cloud services. And so we are in this giant technology market where there's competition in every direction. You look and know we're not the monopoly the government's looking for and we should not get regulated in any way whatsoever. And so I think one has to always be super aware that there are these very powerful incentives to distort the nature of these markets one way or the other. So the evidence of narrow markets in the tech industry is if you basically just if you look at sort of some of the big tech companies, apple, Google, Microsoft, Amazon, they've just been building up cash for year after year, and you have these incredibly high profit margins. And I would say that one of the reasons the tech industry in the us has been so successful financially is because it's prone to creating all these monopoly like businesses. And it's reflected by the fact that these companies just accumulate so much cash, they don't even know what to do with it beyond a certain point. And so let me say a few things about how to build a monopoly. And I think one of the sort of very counterintuitive ideas that comes out of this monopoly thread is that you want to go after small markets. If you're a startup, you know you want to get to a monopoly, you're starting a new company, you want to get to monoly monopolies. You have a large share of a market. How do you get to a large share of a market? You start with a really small market and you take over that whole market. And then over time, you find ways to expand that market in concentric circles. And the thing that's always a big mistake is going after a giant market on day one, because that's typically evidence that you somehow haven't defined the categories correctly. And it's it normally means that there's going to be too much competition in one way or another. And so I think almost all the successful companies in Silicon Valley had some model of starting with small markets and expanding. And you if you take Amazon, you start you start with just a bookstore. We have all the books in the world. So it's it's a better bookstore than anybody else has in the world when it starts in the nineties. It's online. There's things you can do, you can't do before, and then you gradually expand into all sorts of different forms of e -commerce and other things beyond that. You know eBay, you start with pez dispensers, you move on to Beanie Babies. And eventually it's all these different auctions for all these sorts of different goods. And what was very counterintuitive about what's very counterintuitive about many of these companies is they often start with markets that are so small that people, they don't think that they're valuable at all. When you get started, the PayPal version of this, we started with power sellers on eBay, which was about 20000 people. When we first saw this happening in December of 90 ninth January 2000, right after we launched, there was a sense that these were all it was, such a small market. It was terrible. We thought these were terrible customers to have. It's just people selling junk on the Internet. Why in the world do we want to be going after this market? But there was a way to get a product that was much better for everybody in that market. You could and we got to something like 25, 30% market penetration in two or three months, and you got some lock in, you got brand recognition and you're able to build the business from there. So I always think these very small markets are quite underrated. The Facebook version of this I always give is that the initial market at Facebook was 10000 people at Harvard. It went from zero to 60% market share in ten days. That was a very auspicious start. The way this gets analyzed in business schools is always, that's ridiculous. It's such a small market, it can't have any value at all. And so I think the business school analysis of Facebook early on or of PayPal early on or of eBay early on is that the markets were perhaps so small as to have almost no value. And they would have had little value had they stayed small. But it turned out there were ways to them grow them concentrically, and that's what made them so valuable. Now I think the opposite version of this is always where you have super big markets. And there's much so many different things that went wrong with all the clean tech companies in the last decade. But one theme that ran through almost all of them was they all started with massive markets. And every clean tech PowerPoint presentation that one saw in the years 2005 to 2008, which was sort of the clean tech bubble in Silicon Valley, started with, we're in the energy market. We're in a market that's measured in hundreds of billions or trillions of dollars. And then once you're sort of a minnow in a vast ocean, that's not a good place to be. That means that you have tons of competitors and you don't even know who all the competitors are. And so want be you want to be one of a kind company where it's the only one in a small ecosystem. You don't want na be the fourth online pet food company. You don't want na be the th thin film solar panel company. You don't want to be the one hundredth restaurant in Palo Alto. Your restaurant industry is a trillion dollar industry. So if you do a market size analysis, you conclude restaurants are a fantastic business to go into. And it's often large markets. Large existing markets typically mean that you have tons of competition, very, very hard to differentiate. So the first very counterintuitive idea is to go after small markets. Often markets that are so small people don't even notice them. They don't think they make sense. That's where you got a foothold. And then if those markets are able to expand, you can scale into a big monopoly business. You know, a second, there's sort of several different characteristics of these monopoly businesses that I like to focus on. And there's probably no sort of single formula to it. And I always think that in technology, there's always a sense that the history of technology, such that every moment happens only once. And so the next Mark Zuckerberg won't build a social network. The next Larry Page won't be building a search engine. The next Bill Gates won't be building an operating system. And if you're copying these people, you're not learning from them. And so there is always these very unique businesses that are doing something that's not been done before, end up having the potential to be a monopoly. If you're the opening line in Anna kininas that all happy companies, sorry, all happy families, all happy families are alike, all unhappy families are unhappy in their own special way. And the opposite is in business, where I think all happy companies are different because they're doing something very unique. All unhappy companies are alike because they fail to escape the essential sameness that is competition. And so one sort of characteristic of a monopoly technology company is some sort of proprietary technology. My sort of crazy, somewhat arbitrary rule of thumb is you want to have a technology that's an order of magnitude better than the next best thing. So Amazon had over ten times as many books. I mean, maybe not that high tech, but you figuout a way to sell ten times many books in an efficient online way. You know, PayPal, the alternative for PayPal, was using checks to send money on eBay, took seven to ten days to clear. PayPal could do it more than ten times as fast. So you want to have some sort of very powerful improvement in maybe an order of magnitude improvement on some key dimension. Of course, if you actually come with something totally new, it's it's just like an infinite improvement. So I would say the iphone was the first smartphone that worked. And so that's that's maybe maybe not infinite, but it's sort of definitely an order of magnitude or more of an improvement. So I think the technology is designed to give you a massive delta over the the next best thing. I think there often are network effects that can kick in that really help the thing very and these leaked monopolies over time, the thing that's very tricky about network effects is they're often very hard to get started. And so even though everyone understands how valuable they are, there's always this incredibly tricky question, why is it valuable to the first person who's doing something? Economies of scale. If you have something very high fixed costs, very low marginal costs, that's typically a monopoly like business. And then there's this thing of branding, which is sort of like just this idea that gets lodged in people's brains. I never quite understand how branding works. So I never invest in companies, which it's just about branding, but it is, I think, a real phenomenon that creates that creates real value. I think one of the things I'm gonna to come back this a little bit towards the end, but one of the things that's very striking is that software businesses are for some reason very good at some of these things. They're especially good at the economies of scale part because the marginal cost of software is zero. And so if you get something that works in software, it's often significantly better than the existing solution. And then you have these tremendous economies of scale, and you can scale fairly quickly. So even if the market starts small, you can grow your business quickly enough to stay stay at the same size as the growing market and maintain the sort of monopoly power. Now the critical thing about these monopolies is, is it's not enough to have a monopoly for just a moment. The critical thing is to have one that lasts over time. And so in in Silicon Valley is always the sort of idea that you want to be the first mover. And I always think in some ways, the better framing is you want to be the last mover. You want to be the last company in a category. Those are the ones that are really valuable. Microsoft was the last operating system, at least for many decades. Google is the last search engine. Facebook will be valuable if it turns out to be the last social networking site. And one way to think of this last mover value is this idea that most of the value in these companies exists far in the future. If you do sort of a discounted cash flow analysis of a business you look at, you have sort of all these profit streams. You have a growth rate, the growth rates much higher than the discount rate. And so most of the value exists far in the future. I did this exercise at PayPal in March of 2001. We had been in business for about 27 months, and we sort of had the growth rate was 100% a year. We were discounting future cash flows by about 30%. And it turned out that about three quarters of the value of the business as of 2001 came from cash flows in years 2:11 and beyond. And whenever you do the math on any of these tech companies, you get to an answer that's something like that. So if you are trying to analyze any of the tech companies in Silicon Valley, AirBNB, Twitter. Facebook, any emerging Internet companies, all the ones in Y Combinator, the math tells you that three quarters, 85% of the value is coming from cash flows in years 20, 24 and beyond. It's very, very far in the future. And so one of the things that we always overvalue in Silicon Valley is growth rates. And we undervalue durability because growth is something you can measure in the here and now. And you can always track that very precisely. The question of whether a compis still gonna to be around a decade from now, that's actually what what dominates the value equation. And that sort of is a much more qualitative sort of a thing. And so if we went back to this idea of these characteristics of monopoly, proprietary technology, network effects, economies of scale, you can think of these characteristics as ones that exist at a moment in time where you capture a market and take it over. But you also want to think about, are these things going to last over time? And so there's a time dimension to all these characteristics. So network effects often have a great time element, where as the network scales, the network effects actually get more robust. And so if you have a network effect business, that's often one that can become a bigger and stronger monopoly over time. Proprietary technology is always a little bit of a tricky one. So you want something that's ordered magnitude better than the state of the art in the world today. And that's how you get people's attention. That's how you initially break through, but then you don't want to be superseded by somebody else. And so there are all these areas of innovation where there was tremendous innovation, but no one made any money. So you know describe manufacturing in the 19 eighties. You could build a better describe than anybody else. You could take over the whole world, and two years later, someone else would come along and replace yours. And in the course of 15 years, you got vastly improved disc drives. So it had great benefit to consumers, but it didn't actually help the people who started these companies. And so there's always this question about having a huge breakthrough in technology, but then also being able to say, explain why yours will be the last breakthrough, or at least the last breakthrough for a long time, or will you make a breakthrough and then you can keep improving on it at a quick enough pace that no one can ever catch up. So if you have a structure of the future where there's a lot of innovation and other people will come up with new things in the thing you're working on that's great for society, it's actually not that good for your business typically. And then economies of scale we were talked about. So anyway, so I think this last mover thing is very critical. I'm always tempted. I don't want to overdo the chess analogies, but you know the first mover in chess is someone who plays White. White is about a one third of a pawn advantage. So there's a small advantage to going first. You want to be the last mover who wins the game. And so as those was the kablanca world champion, chess champion kabblanca line, you must begin by studying the end game. And I do think I wouldn't say that's the only thing you should study. I think this sort of perspective of asking these questions, why will this still be the leading company ten, 15, 20 years from now, is a really critical one to try to think through. Let me sort, I want to sort of go in two slightly other directions with this monopoly versus competition idea. And I think so I think this is the central idea in my mind for business, for starting business, for thinking about them. And there are some very interesting perspectives. I think it gives, on the whole, on the whole history of innovation and technology and science, because, you know, we've lived through 250000, 300 years of incredible technological progress in many, many different domains, steam engine to railways, to telephones, refrigeration, household appliances, know the computer revolution, aviation, all sorts of different areas of technological innovation. And then there's sort of analogous thing that one can say about science, where we've lived through centuries of enormous amounts of innovation in science as well. And the thing that I think people always miss when they think about these things is that because x and y are independent variables, some of these things can be extremely valuable innovations. But the people who invent them, who come up with them, do not get rewarded for this. And certainly, if you go back to, you need to create x dollars in value, you capture y percent of X. I would suggest that the history of science has generally been one where y is zero percent across the board. The scientists never make any money. They're always diluded into thinking that they live in a just universe that will reward them for their work and for their inventions. And this is probably the fundamental delusion that scientists tend to suffer from in our society. And even in technology. There are sort of many different areas of technology where there were great innovations that created tremendous value for society, but people did not actually capture that much of the value. And so I think there is this sort of whole history of science and technology that can be told from the perspective of how much value was actually captured. And certainly, there are entire sectors where people didn't capture anything. So you're the smartest physicist of the twentieth century. You come up with special relativity, you come up with general relativity. You don't get to be a billionaire. You don't even get to be a millionaire. It just somehow doesn't work that way. The railroads, incredibly valuable. Most of them just went bankrupt because it was too much competition. Wright brothers, you fly the first plane, you don't make any money. And so I think there is sort of a structure to these industries that's very important. And I think the thing that's actually rare are the success cases. So it's actually we really think about the history in this 250 year sweep. It's unwhy is almost always zero percent. It's always zero in science. It's almost always in technology. And so it's very rare where people made money. Eighteenth, early nineteenth century, the first industrial revolution was the textile mills, the steam engine. You sort of automated things. And you had these relentless improvements that people improved efficiency of textile factories, of manufacturing generally, at a clip of five to 7% every year, year after year, decade after decade. You had 60, 70 years of tremendous improvement from 1780 to 1850. But even in 1850, most of the wealth in Britain was still held by the landed aristocracy. The workers didn't make that much. The capitalists didn't make that much either. It was all competed away. There were hundreds of people running textile factories. It was an industry that just the structure of the competition prevented people from making any money. And so I think there are, in my mind, there probably are only two broad categories in the entire history of the last 250 years where people have actually come up with new things and made money doing so. One is these sort of vertically integrated, complex monopolies, which people did build in the second industrial revolution at the end of the nineteenth and started of the twentieth century. And so this was like Ford, it was the vertically integrated oil companies, like Standard Oil. And what these vertically integrated monopolies typically required was this very complex coordination. You got a lot of pieces to fit together in just the right way. When you assembled it, you had a tremendous advantage. This is actually done surprisingly little today. And so I think this is sort of a business form that when people can pull it off, is very valuable. It's typically fairly capital intensive. We live sort of in a culture where it's very hard to get people to buy into anything that's super complicated and takes very long to build. But know when I sort of think about my colleague Elon Musk from PayPal success with Tesla and SpaceX, I think the key to these companies was the complex, vertically integrated monopoly structure they had. So if you sort of look at Tesla or SpaceX, you ask you, was there sort of a single breakthrough? I mean, they certainly innovated on a lot of dimensions. I don't think it was a single ten x breakthrough and battery storage or you know, they may working on some things on rocketry, but they hadn't. It was no sort of single massive breakthrough, but was really impressive, was integrating all these pieces together and doing it in a way that was more vertically integrated than most of their competitors. So Tesla, you also integrated the car distributors so they wouldn't steal all the money has happened with the rest of the car industry in the us. Or SpaceX, you basically pulled in all the subcontractors where most of the large aerospace companies have single source subcontractors that are able to sort of charge monopoly profits and make it very hard for the integrated aerospace companies to make money. And so vertical integration, I think, is sort of a very underexplored modality of technological progress that people would do well to look at more. And then I think there is something about software itself that's very, very powerful. Software has these incredible economies of scale, these low marginal costs, and there is something about the world of bits, as opposed to the world of atoms, where you can often get very fast adoption. And the fast adoption is critical to capturing and taking over markets, because even if you have a small market, if the adoption rate is too slow, therebe enough time for other people to enter that market and compete with you. Whereas if you have a small to midsized market and have a fast adoption rate, you can take over this market. And so and so I think this is one of the reasons Silicon Valley has done so well and why software has been of this phenomenal industry. And what I would suggest, what I want to leave you with, is there are sort of these different rationalizations people give for why certain things work and why certain things don't work. And I think these rationalizations always obscure this question of creating x dollars in value and capturing y percent of x. So the science rationalization, we're always told, is that the scientists aren't interested in making money. They're doing it for charitable reasons, and that you're not a good scientist if you're motivated by money. And I'm not even saying people should always be motivated by money or something like this, but I think we should be a little bit more critical of this as a rationalization. We should ask, is this a rationalization to obscure the fact that y equals zero percent and the scientists are operating in this sort of world where all the innovation is effectively competed away and they can't capture any of it directly? And then the software distortion that often happens is because people are making such vast fortunes in software, we infer that this is the most valuable thing in the world being done, full stop. And so if people at Twitter make billions of dollars, it must be that Twitter is worth far more than anything Einstein did. And what that sort of rationalization tends to obscure is, again, that x and y are independent variables. And are these businesses where you capture a lot of x and there are others where you don't. And so I do I do think the history of innovation has been this history where the microeconomics, the structure of these industries has mattered a tremendous amount. And there is sort of this story where some people have made vast fortunes because they were in industries with the right structure, and other people made nothing at all because they were in these sort of very competitive things. And we shouldn't just rationalize that way. I think it's worth understanding this better. And then finally, let me come back to this sort of overarching theme for this talk, this competition is for losers idea, which is always this provocative way to title things, because we always think of the losers as the people who are not good at competing. We think of the losers as the people who are slow on the sports, on the track team in high school or who do a little bit less well on the standardized tests and don't get into the right schools. And so we always think of losers as people who can't compete. And I want us to really rethink and revalue this and consider whether it's possible that competition itself is off that sort of it's not just the case that we don't understand this monopoly competition dichotomy intellectually. So this sort of been talking about why you wouldn't understand it intellectually, because people lie about it. It's distorted. We have all the history of innovation rationalizes what's happening in all these very, very strange ways. But I think it's more than just an intellectual blind spot. I think it's also a psychological blind spot where we find ourselves very, very attracted to competition in one form or another. We find it reassuring if other people do things. The word ape, already in the time of Shakespeare, meant both primate and imitate. And there is something about human nature that's deeply memmetic imitative ape like, sheep like, lemming like curdlike. And it's this very, very problematic thing that we need to always think through and try to overcome. And there is always this question about competition as a form of validation, where we go for things that lots of other people are going for. And it's not that there is wisdom in crowds. It's not when lots of people are trying to do something that that's proof of it being valuable. I think it's when lots of people are trying to do something that often that is often proof of insanity. There are 20000 people a year who move to Los Angeles to become movie stars. About 20 of them make it. I think the Olympics are a little bit better because you have a, you know, you can sort of figure out pretty quickly whether you're good or not. So there's a little bit less of a dead weight loss to society. You the sort of educational experience at a place, the pre Stanford educational experience, there's always sort of a non competitive characterization where I think most of the people in this room had machine guns that were competing with people with bows and arrows. So it wasn't exactly a parallel competition. When you were in junior high school and high school, there's always a question, does the tournament make sense as you keep going? And this is a and so there is always this question, if people go on to grad school or postdoctoral educations, does the intensity of the competition really make sense? There's the classic Henry Kissinger line that describing his fellow faculty at Harvard that the battles were so ferocious because the stakes were so small, describing sort of academia. And you sort of think, on one level, this is a description of insanity. You know why would people fight like crazy when the stakes are so small? But it's also, I think, simply a function of the logic of the situation. When it's really hard to differentiate yourself from other people when the differences are when the objective differences really are small, then you have to compete ferociously to maintain a difference of one sort or another that's often more imaginary than real. There's always sort of a personal version of this that I tell where I was, sort of a hyper, hyper tracact. My eighth grade junior high school yearbook, one of my friends wrote in, I know you'll get into Stanford in four years, is as a sophomore, I sort of went going to Stanford four years later, then end of high school, went to Stanford Law School, ended up at a big law firm in New York, where from the outside, everybody wanted to get in on the inside, everybody wanted to leave. Had, and it was this very strange dynamic where after I sort of realized this was maybe not the best idea, and I left after seven months and three days, you know, one of the people down the hall from me told me, it's really reassuring to see you leave, Peter. I had no idea that it was possible to escape from Alcatraz, which of course, all you had to do was go out the front door and not come back. But so much of people's identities got wrapped up in winning these competitions that they somehow lost sight of what was important, what was valuable. Competition does make you better at whatever it is that you're competing on, because when you're competing, you're comparing yourself with the people around you. You're figuring out, how do I beat the people next to me? How do I do somewhat better at whatever it is they're doing? And you will get better at that thing. I'm not questioning that. I'm not denying that. But it often comes at this tremendous price that you stop asking some bigger questions about what's truly important and truly valuable. And so I would say that don't always go through the tiny little door that everyone's trying to rush through, maybe go around the corner and go through the vast gate that no one's taking. Thank you very much. I guess it's time for you. Want to take a few questions or. Oh, Yeah, people want to I'll take a few questions with a few minutes time. Yeah, go ahead. Since Yeah, as you mentioned earlier, often monopolies and Covid competition often looks similar because the narratives, people narratives we tell ourselves, do you have any ways to easily determine the difference when you're looking at an idea or evaluating your own idea? Well, I'd say the question I always try to focus on is what is the actual market? So not what's the narrative of the market, because you can always tell a fictional story about a market that's much bigger or much smaller, but what is the real objective market? So it's always, Yeah, you always try to figure it out and you realize people have incentives to powerfully distort these things. Yeah. So which of the aspects of monopolies that you mentioned would you say software problems like Google or piel? Well, they have network effects with the ad network. They had proprietary technology that gave them the initial lead because they had the page rank algorithm, which was sort of an order of magnitude better than any other search engine. You have economies of scale because of the need to store all these different sites. And at this point, you have brands. So Google has all four. Maybe the proprietary technology somewhat weaker at this point, but definitely it had all four and maybe three and a half out of four now Yeah how does this apply to paler and second what like a second what the Oh, that's a this sort of a set of companies are doing different copycat payment systems on on mobile phones or square. There's PayPal sort they have just they just have sort of different shapes. That's how they differentiate themselves. One is a triangle, one is a square and so you know maybe at some point the apes were in those shapes or something like that, but but I think, Nope. Palent here we started with a focus on the intelligence community, which is small submarket. You had a proprietary technology that used a very, very different approach where it was focused on the human computer synthesis rather than the substitution, which I think is the dominant paradigm. So there's a whole set of things I would say, on the market approach and the proprietary technology. Yes, we have design thinking methodology, startup thinking, which is used to mitigate risk by not creating things that people don't want, but having Young innovators have inspiration to create complex systems that last. Can you Yeah. So the question is, what do I think about lean startups? Iterative thinking where you get feedback from people versus complexity that may not work. So I am personally quite skeptical of all the lean startup methodology. I think the really great companies did something was sort of somewhat more of a quantum improvement that really differentiated them from everybody else. They typically did not do massive you customer surveys. The people who ran these companies sometimes not always suffered from wild forms of Aspergers. So they were not actually that influenced, not that easily deterred by what other people thought or told them to do. So I do think we're way too focused on iteration as a modality and not enough on trying to have A A virtual esp link with the public and figuring it out ourselves. I would say that let me see. I would say that I'm not the risk question, I think is always a very tricky one because there are you I think it's often the case that you don't have enough time to really mitigate risk. If you're going to take enough time to figure out what people want, you often will have missed the boat by then. And then, of course, there's always the risk of doing something that's not that significant or meaningful. So you could say a track in law school is a low risk track. From one perspective, it may still be a very high risk track in the sense that maybe you have a high risk of not doing something meaningful with your life. So we have to think about risk in these very complicated ways. I think risk is for this very complicated concept, last movement advantage, but then does not imply that there's any competition to begin with. Chest piece on the chest, boy. Yeah. So there's always this terminology thing. So I would say that there are categories in which people sort of are bundled together. I would say the monopoly businesses were, in effect, they really were a big first mover. In some sense. You could say Google was not the first search engine. There were other search engines before, but on one dimension they were dramatically better than everybody else. So they were the first one with paydrank, with sort of the automated approach. Facebook was not the first social networking site. My friend reed Hoffman started one in 1997, and they called it social net. So they already had the name social networking in the name of their company. Seven years before Facebook. Their idea was that it was going to be this virtual cyber space where I'd be a dog and yoube a cat wehave all these different rules about how weinteract with each other in this virtual alternate reality. Facebook was the first one to get real identity. So it was, I'd say, I hope Facebook would be the last social networking site. It was the first one in a very important dimension. People often would not think of it as the first because theysort of lump all these things together. Hello, more question. Okay, one more question. Let's take one here. If you're theoretically is someone who worked at golden satita college and left that six months and it's now computer science at Stanford, how would you recommend rethinking. You know I don't have a I'm not great at the psychotherapy stuff, so I don't quite know how to solve this there there are these very odd studies they've done on people who go to business school. There's one they've done at Harvard Business School where it's sort of the anti Asperger personality, where you have people are super extroverted, generally have low convictions, a few ideas. You have sort of a hothouse environment. You put all these people in for two years and at the end of it, they systematically end up the largest cohort, systematically ends up doing the wrong thing. They try to catch the last wave. Know in 1989, everyone at Harvard tried to work for Mike Milken as a one or two years before you went to jail for all the junk bond stuff. They were never interested in Silicon Valley or tech, except for 90 92000 when they timed the dot com bubble peaking perfectly. They did. And then zero, five, seven was housing, private equity, stuff like this. So I do I do think this tendency for us to see competition as validation is very deep. I don't think there's any sort of easy psychological formula to avoid it. So I don't quite know how what sort of therapy to recommend. But my first starting point, which is only like it's maybe 10% of the way, is to never underestimate how big a problem it is. We always think this is something that afflicts other people. So it's easy for me to point to people in business schools or people at Harvard or people on Wall Street. I think it actually does afflict all of us to a very profound degree. We always think of advertising as things that work on other people. Who are all these stupid people who fall for all those ads on tv? They obviously work to some extent, and they work to a disturbing extent on all of us. And it's something we all should work to overcome. Thank you very much.

最新摘要 (详细摘要)

生成于 2025-06-07 15:59

概览/核心摘要 (Executive Summary)

Peter Thiel 在本次演讲中系统阐述了他的核心商业哲学:“竞争是为失败者准备的 (Competition is for Losers)”。他认为,创业的终极目标应该是建立并维持一个垄断企业,而非在激烈的竞争中求生。Thiel 提出了一个关键的价值公式:企业的价值由其为世界创造的价值(X)与企业能从中捕获的价值比例(Y)共同决定,且 X 和 Y 是完全独立的变量。许多行业(如航空业)创造了巨大的社会价值(高X),但因激烈竞争导致利润微薄(低Y);而成功的科技公司(如Google)则通过垄断实现了高价值捕获(高Y)。

Thiel 指出,企业普遍会通过操纵市场定义来掩盖其真实地位:垄断者会通过将自身置于一个极大的市场(如“全球广告市场”)中来伪装成竞争者,以逃避监管;而非垄断者则会通过定义一个极小的交叉市场(如“帕洛阿尔托唯一的英式餐厅”)来伪装成独一无二的垄断者,以吸引投资。

建立垄断的关键策略是从小市场开始,实现完全主导,然后以同心圆方式逐步扩张。成功的公司如Facebook、PayPal都始于一个被忽视的微小市场。此外,企业应追求成为“最后进入者 (Last Mover)”,即在该领域建立一个持久的、无人能超越的业务,因为企业的绝大部分价值存在于遥远的未来。垄断企业的四大特征是:专有技术、网络效应、规模经济和品牌。Thiel 强调,软件行业因其极低的边际成本和快速的规模化能力,天然适合建立垄断。最后,他警告说,对竞争的迷恋是一种深刻的心理陷阱,它会使人专注于战胜身边的人,却忽视了去探索真正有价值和意义的、无人涉足的领域。

价值创造与捕获:X与Y的独立性

Peter Thiel 提出,评估一个企业价值的核心公式包含两个独立变量:
1. X:企业为世界创造的总价值。
2. Y:企业能从所创造的总价值中捕获的百分比。

Thiel 强调,X和Y是完全独立的变量 (x and y are completely independent variables)。一个企业可能创造巨大价值(高X),但如果无法有效捕获价值(低Y),它依然不是一个好生意。

  • 案例对比:航空公司 vs. Google
    • 美国航空业
      • 高X:2012年国内收入达1950亿美元,远超Google。从直觉上看,航空旅行业比搜索引擎对社会更重要。
      • 极低Y:利润率极低,整个行业百年历史的累计利润“约为零”。公司周期性破产和重组。
      • 结果:尽管行业规模巨大,其总市值仅约为Google的四分之一。
    • Google (搜索业务)
      • 相对较低的X:2012年收入约500亿美元,规模小于航空业。
      • 极高Y:通过在搜索市场的垄断地位,获得了极高的利润率和价值捕获能力。
      • 结果:成为一家远比整个航空业更有价值的公司。

竞争与垄断的二元对立

Thiel 提出了一个他认为人们普遍不理解的“极端二元观点”:

“世界上只有两种生意:完全竞争的生意和垄断的生意 (there are exactly two kinds of businesses in this world there, businesses that are perfectly competitive, and there are businesses that are monopolies)。”

  • 完全竞争 (Perfect Competition)
    • 优点:对消费者有利,是经济学模型的理想状态。
    • 缺点:对于身处其中的企业而言是灾难,因为所有利润都会被竞争消耗殆尽。Thiel 认为“资本主义和竞争是对立的”,因为资本主义是关于资本的积累,而竞争则会耗散资本。
  • 垄断 (Monopoly)
    • 优点:业务稳定,拥有更多资本进行长期规划和创新。成功的创新型垄断是创造了巨大新价值的标志。

企业讲述的“谎言”:市场定义的操纵

Thiel 指出,由于企业有强烈的动机,导致外界很难看清竞争和垄断的真实区别,因为它们都在“说谎”,但方向相反。

  • 非垄断者的谎言(夸大独特性)
    • 策略:将自己的市场定义为多个小领域的交集 (intersection),从而显得独一无二。
    • 目的:吸引投资和人才。
    • 例子
      • 一家餐厅会声称自己是“帕洛阿尔托唯一英式餐厅”,但实际上它仍在与所有其他餐厅竞争。
      • 电影项目被描述为“一个大学橄榄球明星加入一个精英黑客组织去抓捕杀死他朋友的鲨鱼”,以此宣称这是一个前所未有的电影,但其本质仍然是“又一部电影”。
  • 垄断者的谎言(掩盖垄断性)
    • 策略:将自己的市场定义为多个巨大市场的并集 (union),从而显得自己只是个小角色。
    • 目的:避免政府监管和反垄断审查。
    • 例子
      • Google 拥有约66%的搜索市场份额,但它从不称自己为搜索垄断者。
      • 它会说自己是一家广告公司,在全球近5000亿美元的广告市场中只占3.4%的微小份额。
      • 或者说自己是一家科技公司,在自动驾驶汽车、手机、办公软件、云服务等领域与苹果、Facebook、亚马逊等巨头激烈竞争。

如何建立垄断

Thiel 提出了建立垄断的几个反直觉但至关重要的策略。

1. 从小市场开始并主导它

“如果你想建立垄断,你应该从小市场开始 (you want to go after small markets)。”

  • 核心逻辑:直接进入一个巨大市场意味着激烈的竞争。正确的做法是选择一个足够小的市场,迅速占领全部或大部分份额,建立根据地,然后以“同心圆”的方式向外扩张。
  • 成功案例
    • Amazon:从“线上书店”开始,提供比任何实体店都多的书籍选择,然后扩展到所有电商领域。
    • PayPal:最初专注于eBay上约20,000名“超级卖家 (power sellers)”,这是一个被忽视的小市场,但在两三个月内获得了25-30%的渗透率,并以此为基础扩张。
    • Facebook:最初的市场仅限于哈佛大学的10,000名学生,在10天内获得了60%的市场份额。
  • 失败教训
    • 清洁技术 (Clean Tech):2005-2008年的大多数清洁技术公司都犯了同样的错误,即声称自己处于“数千亿乃至万亿美元的能源市场”。这使得它们成为“汪洋中的小鱼”,面临无数未知的竞争者。

2. 追求“最后进入者”优势 (Last Mover Advantage)

  • 核心观点:人们常说“先行者优势 (First Mover)”,但Thiel认为更重要的是成为“最后进入者 (Last Mover)”——即成为一个品类中最后、最持久、无法被超越的公司。
  • 价值的持久性:科技公司的绝大部分价值(约75%-85%)来自于10年甚至更久之后的未来现金流。因此,我们总是高估增长率,而低估企业的存续能力 (we undervalue durability)。
  • 思考维度:在评估一个公司时,最重要的问题是:“为什么这家公司在10年或20年后仍然会是市场的领导者?

垄断的四大特征

Thiel 总结了垄断企业通常具备的四个关键特征,这些特征不仅要在当下存在,更要能够持续。

  1. 专有技术 (Proprietary Technology)
    • 必须比最接近的替代品好一个数量级(10倍)。例如,PayPal的转账速度比支票快10倍以上。
    • 技术不仅要实现突破,还要能持续改进,让竞争对手无法追赶。
  2. 网络效应 (Network Effects)
    • 产品或服务的价值随着用户数量的增加而增加。
    • 网络效应一旦形成,会使垄断地位随时间推移而更加稳固。
  3. 规模经济 (Economies of Scale)
    • 拥有高昂的固定成本和极低的边际成本。
    • 软件行业是典型代表,其边际成本几乎为零,使其具有强大的规模化潜力。
  4. 品牌 (Branding)
    • 在人们心智中建立起强大的认知。Thiel承认这是一个真实但难以捉摸的现象。

创新的历史与价值捕获

Thiel 从价值捕获(Y变量)的角度重新审视了科技创新史,得出的结论是:绝大多数创新者并未从他们的创造中获益。

  • 科学界的零价值捕获:科学家(如爱因斯坦)创造了巨大的社会价值,但他们的Y值始终为零。Thiel称“科学家们生活在一个会奖励他们工作的公正宇宙中的想法,是他们根本性的错觉”。
  • 技术史上的低价值捕获:许多革命性技术,如铁路、飞机(莱特兄弟),其发明者或运营者并未赚到钱,因为行业结构充满了竞争。
  • 少数成功的例外
    1. 垂直整合的复杂垄断:如19世纪末的福特和标准石油。Thiel认为这是当今被低估的模式,并将特斯拉 (Tesla)SpaceX 的成功归因于其复杂的垂直整合,而非单一的技术突破。
    2. 软件:由于其独特的经济属性(低边际成本、快速采纳率),软件行业成为一个能够高效建立垄断并捕获巨大价值的领域。

竞争的心理学陷阱

Thiel 认为,人们之所以陷入无效竞争,不仅是智力上的盲点,更是深刻的心理盲点

  • 模仿的天性 (Mimetic Nature):人类有强烈的模仿(mimetic)倾向,如同猿猴、羊群或旅鼠。我们倾向于追求别人都在追求的东西。
  • 竞争作为验证 (Competition as Validation):当很多人都在做某件事时,我们将其视为这件事有价值的证明。但Thiel认为,这往往是“疯狂的证明 (proof of insanity)”。
  • 竞争的代价:竞争确实能让你在所竞争的领域变得更强,但它“往往伴随着巨大的代价,即你停止去问那些关于什么是真正重要和有价值的更宏大的问题”。
  • 个人经历:Thiel分享了自己从斯坦福法学院毕业后进入纽约顶尖律所的经历。他发现那是一个“从外部看人人都想进去,从内部看人人都想离开”的地方,他形容自己逃离律所如同“逃离恶魔岛 (Alcatraz)”。
  • 最终建议:不要总是试图挤进那扇人满为患的小门,或许你应该绕到拐角,走过那扇无人问津的宏伟大门。

问答环节 (Q&A Session)

  • Q1: 如何区分真实的垄断和伪装的竞争?
    • A: 关键是关注真实的、客观的市场是什么,而不是听信企业自己讲述的关于市场的“故事”。
  • Q2: Google具备哪些垄断特征?
    • A: Google拥有全部四个特征:专有技术(PageRank算法)、网络效应(广告网络)、规模经济和强大的品牌。
  • Q3: Palantir如何应用这一理论?
    • A: Palantir从一个非常小的子市场(情报界)开始,并拥有专注于“人机结合”而非“机器替代”的专有技术。
  • Q4: 对“精益创业 (Lean Startup)”的看法?
    • A: Thiel对此持怀疑态度。他认为伟大的公司通常实现了“量子级跃迁”(即非线性的、颠覆式的巨大进步),而不是通过迭代和用户反馈。创始人有时需要有近乎“阿斯伯格综合症”的特质,不轻易被他人观点动摇。规避短期职业风险(如选择去法学院)可能会带来“无法实现人生意义”的长期、更高维度的风险。
  • Q5: “最后进入者”是否意味着没有竞争?
    • A: 这里的“第一”或“最后”是针对某个关键维度而言。Facebook不是第一个社交网站,但它是第一个基于真实身份的社交网站,并希望成为最后一个。
  • Q6: 如何摆脱竞争心态?
    • A: 没有简单的心理处方。第一步是永不低估这个问题有多严重,并认识到它影响着我们每一个人,而不仅仅是“别人”。