00:30:13 · Aditya Agarwal, Elad Gil
[00:30:13] S1: It's like pre SPF, post SPF. You know? [00:30:15] S0: Yeah. You know, seriously, it really it really is... Or pre ChatGPT, post ChatGPT, right, or whatever it is. And it really swings people's outcomes in careers, and there's actually really interesting data in general that I remember seeing years ago where if you graduate into a recession versus a boom cycle, you make dramatically less over your entire career. And the reason is you have fewer opportunities. You have your jobs. You never manage to get bored early. Like, all the things that come with a boot cycle, miss. And all the things and the hardness of the bear cycle you hit. [00:30:49] S1: You're just also less optimistic. Like, I I read that same study, which is that you expect the world to wish me and ruin my life. I think you're doing okay. [00:30:58] S0: So Never mind. [00:31:00] S1: You know, I I think you just expect that, like, hey. Your your expectation out of the world is that growth is low and that there are larger systemic forces which are actually preventing you from flourishing as opposed to kind of like YOLO. It's just like, you know, you go up and up. Right?
00:31:15 · Elad Gil
[00:31:15] S0: Yeah. And so I think that same thing is... I'm not saying financially. I just mean in general, there's... There was that crypto AI divide. Yeah. And you had founders who started crypto companies, and they stuck with them in many cases. And then you had other people who started AI companies, and it was a few month of difference. It's the exact same type of person. And so I think that's kind of fascinating. And, you know, there's all these weird cocoa defects in the medic of... Like, there's all this stuff we don't talk about that's kinda happening in the background. I think another interesting question, which we can skip if you don't wanna talk about it, but I think, you also see Silicon Valley kinda moving these five to seven year cohorts of people. And so there's this interesting question of, like, how do people maintain relevance across multiple cycles or portazitabine? Or why do two people seem equally good have very different outcomes? Is it them? Is it probabilistic? Is it... You know, if you run a Monte Carlo simulation in a person's life, you rerun their life a billion times as the expected outcome of that person. And how do these circumstances impact that? So there's all these really interesting things that you can think about in terms of tell. I'll give you another talent question. Jensen Huang, amazing CEO, brilliant, amazing strategist, like, so good at, like, running the company and contouring way. Biggest market cap in the world, like, high EQ, very technical, like, amazing. For years, he was running a $6,000,000,000 company. Right? For thirty years. For thirty years, he ran a company, and he was this hidden gem of a billion CEO who eventually steered things into AI and, you know, game over. How many other Jensen Huangs are there out there running public companies where it's just in a market that right now isn't boomy, but they're exceptionally talented? Is it zero? Is this uniquely good and that may be trivial? Is it a 100? Is it... Like, how do you identify these people, and how do you unlock them? And so I think there's these really interesting sort of talent questions. Like, what is the aggregate available talent on the planet and how you harness it in different ways that I think is kinda never discussed really.
00:33:08 · Aditya Agarwal
[00:33:08] S1: I mean, curious to get your... You kind of mentioned one of the central questions is, like, a value chain. Are there not enough good opportunities, or are there not enough, you know, good founders? Where do you kind of, like, you know, almost fall at?
00:33:23 · Elad Gil
[00:33:23] S0: Most likely, there's enough good founders who are just not pointed at the right things. And so it's ineffective... Or it's a it's a faulty search function. And if you think about it, entrepreneurship is a distributed search around, the economic landscape of the world. That's really what's happening. Right? You're really running a giant search function across across the economy. And, it's not an efficient process, and there's, you know, unequal information and unequal access and all the rest of it. And so, it doesn't work well. But I think there's probably enough good people that if you pointed them at the right thing. Now the folks side of it is, if you ask people how many great product people exist on the planet, I asked a very well known public market CEO who runs one of the most interesting product companies that question. I said, how many great product people do you think exist in Silicon Valley or in tech? And he said, at most, a few 100. And so then each company has at most a couple of those, and those are the people with high agency who are grinding big things for those very large companies. Right? And so there's there's... Now he may be robbed. Maybe there's tens of thousands in the wrong sort of tests or maybe there's, like, 50. I don't know. But, it is striking if you look at that overlay of, you know, if everything's a bell curve, then you need outliers on multiple aspects of multiple bell curves to do certain things exceptionally. So then you're compounding small probabilities. So one argument is for any given thing, there's not that many people, and one of the parts of that bell curve is almost always agency.
00:34:49 · Aditya Agarwal, Elad Gil
[00:34:49] S1: I was gonna say, I actually think that the most... The longer that I am in Silicon Valley, the most determining bit that I find is actually the psyche agency. It's like, given a particular situation, is your first reaction is like, I'll just do it. I'll just do things. I'll figure it out. Like, isn't it... Like, even any problem, your reaction is not that, oh, this seems super hard. It seemed too possible. It's more like, yeah. And I have to do it. We'll figure it out. There's some way... There... There's nothing that can, in some way, stop you. That doesn't mean you won't get stopped. But your first reaction is always like, oh, yeah. I gotta figure it out. I'm guide on my way out of it. Right? I think the open question for me and my variant of it was, is that something that can be truly inculcated slash taught slash developed versatility? Is there something a little bit more intrinsic about it? Yeah. It's about... I think it's probably both. And I think, you know, one of the questions I ask at the end, which I'll probably just ask now, is, in this incredible age of technological capabilities, what do you want your kids to have? And the first answer is just like agency. Say, I want all my kids to be like, I [00:35:59] S0: thought you were gonna say Bitcoin. That's what I think of. Yeah. Bitcoin. It may study the same. [00:36:05] S1: So my Ruchi's brother was visiting us this last week, and turns out that I gave all of his children a bunch of Bitcoin 6 years ago. And then I asked him, like, do you know where the keys are? And he's like, lost it.
00:36:05 · Aditya Agarwal, Elad Gil
[00:36:05] S1: So my Ruchi's brother was visiting us this last week, and turns out that I gave all of his children a bunch of Bitcoin 6 years ago. And then I asked him, like, do you know where the keys are? And he's like, lost it. [00:36:22] S0: Alright. Agency sounds like the right answer. [00:36:24] S1: Anyway, agency Okay. Coming back to it. [00:36:30] S0: You can buy Bitcoin ETFs now, by the way. So it makes a [00:36:33] S1: But they also go down when Bitcoin goes down. Yeah. Availability. Absolutely. I don't care. That's... Yeah. It's interesting. So Elad wrote a great book called The High Growth Handbook. Prateek actually has a chapter in that book. I think it's The Wolf. It's kinda named after Pulp Fiction's Harvey Keitel, you know, kind of like character, the wolf. But that was... I'm sure that that book was written, what, ten years ago? [00:37:00] S0: Something like that. Seven, eight years. It's been [00:37:02] S1: a while. What's the biggest thing you advise or off gate pay? And make