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Minus One · 3 min · Dec 13, 2024

AI startups can win by focusing where giants cannot

Alexandr Wang argues that needing vast funding is a poor business plan, especially against foundation-model companies with enormous resources. A focused startup can build an edge by committing to a differentiated problem.

Alexandr Wang

Alexandr Wang is founder and CEO of Scale AI.

Dropped out of MIT to co-found Scale AI in 2016; Meta invested $14.3B in it in 2025 and hired him to lead Superintelligence Labs.

  • Aditya Agarwal, Host · General partner, South Park Commons

    One of Facebook's first engineers, he helped build its first search engine; later CTO of Dropbox.

About this segment

Alexandr Wang argues that needing vast funding is a poor business plan, especially against foundation-model companies with enormous resources. A focused startup can build an edge by committing to a differentiated problem.

From “Scale AI & the Startup Hunger Games with Alexandr Wang”, Dec 13, 2024. Watch the full episode

“the premium is actually just picking a certain problem to care about for a really long time.”
Alexandr Wangat 44:36 · Minus One44:36

Takeaways

  1. Avoid competing head-on with companies that have effectively unlimited capital.
  2. Choose a problem you can keep investing in over time.
  3. Focus can help a startup outperform larger, distracted competitors.

In this episode

Full episode
  1. 34:31AI founders need to separate conviction from industry hype4:18

  2. 42:08AI startups can win by focusing where giants cannot3:13

  3. 30:15Model progress now depends on specialized human data3:55Up next
  4. 5 more moments in the full episode

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

  1. 42:11

    resonate so um if your business plan is that you need to raise a lot of money because you need to spend a lot of money that is in business terms a bad business because um because it uh it um yeah obviously you want to build a profitable company you want to build something that makes money so if you have to spend a lot of money you're just deeper in the hole um i think that like i think that oftentimes um silicon valley gets caught up in certain uh sort of uh um races for these grandiose, ambitious objectives.

  2. 42:49

    And so, you know, if you want to be emperor of the world by controlling the foundation model that is God, then I think, yeah, you probably need lots of money. But that's probably not the goal of most people here, or most companies. The goal of most companies is to, you know, build a profitable business that has the ability to keep compounding for a long time period. And so, you know, we watched this pretty closely in the self-driving car debacle, where you know there were um there were hundreds of billions of dollars raised i think close to 100 billion dollars raised to build uh large-scale autonomous vehicles i think like now with the whole cruise thing i think actually like basic like exactly zero of those companies ended up succeeding um so all the money that went into the self-driving cars like you have one winner which

  3. 43:40

    is waymo uh and it turns out they have an infinite bank account so they're not really a company you can compete with and i think there's a real analogy to where we are today which is there's like you know if you want to get on the treadmill and compete on trading foundation models you're competing with companies with more money than than you know all 10 countries. It's truly the richest entities that humanity has ever known.

  4. 44:07

    That Microsoft should be in the G8. Exactly. That's not a good strategy. I don't think you should try to compete with an infinite balance sheet. I think that for sure right now, the imperative is what is a creative way? But what is a way in which you can develop something that is genuinely differentiated in the ecosystem and also something that you can keep investing in for a long time horizon? Like, I think for at least right now in AI, like, the premium is actually just picking a certain problem to care about for a really long time.

  5. 44:44

    um you know opening eye and anthropic and google these are like very fearsome companies but they also have like literally a bajillion like 10 000 things to care about and worry about and optimize for and um it's very hard for any of them to focus on a particular area perplexity i think is the best example of this like it's still none of the other products are as good as perplexity in just simple search-based LLM output.

  6. 45:12

    And so, they haven't spent that much money. They're just way more focused on that problem. So focus always has a big premium.