# Youngest AI Billionaire Advice from Alexander Wang | Founder of Scale AI | growth world ai

*Growth World AI* · https://www.youtube.com/watch?v=Qsa79nuRH0k

## Summary

In this short interview, Scale AI founder Alexander Wang shares advice for founders starting AI companies, warning about intense competition and the unrealistic fantasy of delegating to executives. He recommends tackling ugly, unsexy problems, as described in Paul Graham's essay 'Schlep blindness', and hiring people who genuinely care about their work. He also recounts how, at 19, he built Scale AI alone in San Francisco with backing from Y Combinator and Accel, recruiting mostly college friends because he had no credibility with experienced engineers.

## Key points

- Alexander Wang founded Scale AI at 19 after dropping out of MIT and moved to San Francisco alone with no team.
- He advises founders to start companies in areas long before they become cool, so they have a head start when the trend takes off.
- Founders starting AI companies today face enormous competition, with 50 or more companies working on ideas like AI-powered sales.
- The founder fantasy of hiring executives and stepping back is unrealistic because a founder CEO's value is making good decisions repeatedly over time.
- Paul Graham's essay 'Schlep blindness' argues that ugly, hairy, unsexy problems make great startup ideas, with Stripe as an example.
- Wang wrote a post called 'hire people who give a damn' and says the degree to which people's soul is invested in their work predicts success.
- He still reviews and approves or rejects literally every single hire at the company.
- Early funding came from Y Combinator and Accel, and his first hires were mostly friends from college because he had no credibility with experienced engineers.

## Notes

### Advice for AI founders
- Successful companies are usually started long before an area becomes cool; the head start is what lets you win when the trend arrives.
- Founders starting AI companies today face intense competition — Alexander Wang cites friends working on AI-powered sales where 50 or more companies are doing the same thing.

### The founder fantasy
- A common fantasy is hiring great executives, stepping back, and watching the machine work.
- This is unrealistic: a founder CEO is valuable because they make very good decisions over and over for an extended period, and pulling out of those decision loops is a mistake.
- Startups carry an innovation premium — investors believe founder companies will out-innovate the market, so the founder's job is to stay in the strategic decisions.

### Schlep blindness
- Wang recommends Paul Graham's essay 'Schlep blindness'.
- Most people avoid thinking about hairy, ugly, annoying but important problems; these unsexy problems often make the best startup ideas — Graham uses Stripe as an example.

### Hire people who give a damn
- Wang wrote a post with this title years ago.
- You can tell in interviews who phones it in versus whose soul is invested in their work; the magnitude of care predicts success.
- He still approves or rejects literally every hire at Scale AI.
- People who care deeply feel what happens in the business, change course faster, learn faster, and take work more seriously.

### Starting at 19
- Wang went to San Francisco alone after dropping out of MIT, with no team, coding every day.
- Y Combinator invested, followed by Accel, an early Facebook investor; these investors helped him find people to hire.
- He mostly hired friends from college — not because he could trust them, but because they could trust him; experienced 25-year-old engineers in San Francisco wouldn't join someone with no credibility.
- Some of those early recruits dropped out of school; others finished their senior year and then joined.

## Transcript

[00:09] So, you were once a young 19-year-old founder in the AI space. Uh, and you're a whole 25 26 26 >> 26. >> You're all of 26 now. I mean, you're basically a seasoned veteran. Um, but there are more and more founders every day starting AI companies uh right now and you've been through that. what's some advice you would give them about starting a company in the space? [bell] >> Yeah, so in general my um one of my observations from studying you know successful companies is that most of the time um you start companies long you know in an area or in a trend long before they become cool and the thing that allows you to actually win is that by the time the thing becomes cool or interesting you've had this like head

[00:54] running head start to be able to take advantage of the opportunity. Y >> um so that might cause founders to be slightly dissuaded from starting [laughter] AI companies today. Another way to think about this is like you know for founders starting AI companies today there's just like >> an incredible amount of competition you know I think um there was a uh um a few friends of mine were working on an idea for um AI powered sales. >> Yeah. >> And there are probably literally 50 if not more companies working on AI powered sales. The other thing on the flip side, there's a founder fantasy which is, oh, I'm going to just like hire a bunch of incredible execs. They'll do all the stuff I don't want to do and I'm going

[01:35] to be able to sit back and like just sort of watch the cogs happen and watch the machine work. And that's also extremely unrealistic because the reason that you are a good founder CEO is because you make very good decisions over and over and over again um over a extended period of time. And to pull yourself out of those decision-m loops is you know would be kind of crazy. That's a pattern we've seen a lot which is I'm going to hire executives. I'm going to step back a bit and then it's like oh realization that like hey some big decisions go wrong and like wait this is the point of me being here. >> Yeah. I think that a lot of startups and a lot of companies are valuable because of an innovation premium. You know,

[02:11] investors believe that that uh founder companies are going to out innovate the market and so your job is to out innovate the market. So >> you better be in the strategic decisions and innovate. Yeah, for sure. Uh it was an article by Paul Graham or an essay by Paul Graham I should say uh called Schle blindness and uh you know I encourage everyone to read it if if you get a chance but um basically the idea was that like you know most people avoid thinking about you know the really sort of just like hairy ugly difficult annoying problems that exist in the world but they're really really important and he actually uses Stripe as as one of the examples in his in his essay but um there's there's these

[02:51] problems are everywhere you know the sort of like ugly hairy problems that um that uh everyone knows are important but like aren't sexy to work on. And if you can identify what those problems are, then those generally make really exciting um startup ideas. So I wrote this post many years ago called hire people who give a And it really is pretty simple. You notice I noticed you know when you interview people or when you interact with people you can tell people who are just sort of like phone it in versus people who sort of like they like hang on to their work as like you know it's like it's like the so incredibly monumental and forceful and important to them that they they do great work and it sort of like eats at

[03:30] them when they don't do great work and when they do great work they're sort of so satisfied with themselves. And so there's sort of this like um the magnitude of of care. And one of the greatest indicators of like a just like how much I enjoyed working with people or like frankly how successful they were at scale was really just this like what is what you know to what degree of their what degree their soul is invested in into um uh into the work that they do. And so I think that that you know if you were to pick one thing that that probably is the sort of like unifier in some way. It's like, you know, um I care a lot, uh I care a lot about every decision we make at the company. Um you know, I still review every hire at the

[04:10] company. You know, I I we have this process why where I approve or reject literally every single hire at the company. Um uh and and so I care immensely and then this and then like I work with all these people who care immensely and then that enables us to really sort of like we um we feel much more deeply what happens in the business and as a result we sort of like uh you know we'll change course more quickly. We'll learn more quickly. Um we will uh we'll take our work more seriously. We'll adapt more quickly. And I think that that's been quite important to the to the success that we've had. >> Let's go back just a little bit. >> Okay. So you you go to San Francisco by yourself as a 19-year-old kid who had

[04:48] just dropped out of MIT. How do you but you're immature at that point. And so how do you develop leadership skills? And I mean how do you have how do you have the knowhow and make the connections to build a company as a 19-year-old kid? >> Yeah. you. So, um let's see what happened. So, basically early on like um it's about who you get investment from. And so, if you get >> So, it was just you with the competition. There was no team. >> No team. No team. And then, um and so I and I was coding every day. And then I got um we got Y Cominator to invest in us. And then we got um this this investment firm called Excel which was were one of the early investors into Facebook to invest. And so we got um

[05:48] some some good investors and then they helped me build the team like find people to hire. I also hired you know what actually happened is I mostly hired people I knew from school. >> Really? >> Yeah. So like >> cuz you could trust them. I think more that they could trust me because I think if like at the time if I went to like a a 25year-old engineer in San Francisco and I was like, "Hey, we should we should work together." I had no credibility. Like um I remember I w I like I would get coffee with these people and I would say like, "Yeah, this is what we're working on. It's super cool. You should join us." And then they would all just be like, "Okay, um cool. I guess I'm going to go back to my job

[06:33] now. [laughter] Um, so early on I had no credibility except for with people I went to uh college with uh who we were just like friends and we liked each other and so I managed to recruit a bunch of them over. Um, and >> they dropped out too. >> Some of them dropped out. Some of them [clears throat] just happened to, you know, were like seniors or whatever, finished school and then joined. Um, it was like a mix. It was a mix. Um, >> [music]