I’ve been in the tech game for a long time. I’ve seen companies come and go, and I’ve been fortunate enough to have a couple of successful exits myself. I’ve also invested in over 200 companies, including some of the biggest names in AI like Anthropic, OpenAI, and Scale AI. So, when I see a company like Figure AI making waves, I pay attention.
Figure AI is one of those companies that just seems to be doing everything right. They’re tackling a huge problem – humanoid robotics – and they’re doing it with a team that’s second to none. But what’s the secret to their success? Is it just hype, or is there something more to it? I’ve been digging into their technology stack, and I think I’ve found the answer.
The “It” Factor: A World-Class Team
First and foremost, you can’t talk about Figure AI without talking about the team. Brett Adcock, the founder, has a track record of building successful companies. He’s surrounded himself with some of the brightest minds in robotics and AI, with over 100 years of combined experience in the field. This isn’t a group of academics in an ivory tower; these are people who have been in the trenches, building and shipping real-world products.
This is something I’ve seen time and time again in my own career. The success of a company is almost always a direct result of the quality of its team. You can have the best idea in the world, but if you don’t have the right people to execute on it, you’re not going to get very far. Figure AI has the right people, and that’s a huge part of their secret sauce.
The Tech Stack: A Symphony of Hardware and Software
Of course, a great team is only part of the equation. You also need a solid technology stack. And this is where Figure AI really shines. They’re not just building a robot; they’re building a complete platform that combines cutting-edge hardware and software.
Hardware: Built for the Real World
On the hardware side, Figure AI is building a humanoid robot that’s designed to be both capable and safe. They’re using a combination of custom-designed actuators and sensors to give their robot a wide range of motion and the ability to interact with its environment in a nuanced way. This is a far cry from the clunky, slow-moving robots of the past.
One of the things that impresses me most about Figure AI’s hardware is their focus on real-world applications. They’re not just building a robot that can do cool demos; they’re building a robot that can actually perform useful tasks in a variety of settings. This is a key differentiator, and it’s one of the reasons why I’m so bullish on the company.
Software: The Brains of the Operation
Of course, hardware is only half the battle. The real magic happens in the software. Figure AI is using a combination of AI and machine learning to give their robot the ability to learn and adapt to new situations. They’re also leveraging a single neural system that controls the full body directly from pixels, which is a huge leap forward in robotics.
This is where Figure AI’s partnership with OpenAI comes into play. They’re using OpenAI’s powerful AI models to train their robots, which is giving them a huge advantage over the competition. This is a classic example of two innovative companies coming together to create something that’s greater than the sum of its parts.
The Tesla Optimus Comparison: A Tale of Two Robots
It’s impossible to talk about humanoid robotics without mentioning Tesla’s Optimus. On the surface, the two robots seem very similar. They’re both bipedal, and they’re both designed to perform a variety of tasks. But when you dig a little deeper, you start to see some key differences.
For one thing, Tesla seems to be taking a more top-down approach to robotics. They’re trying to build a robot that can do everything, which is a huge undertaking. Figure AI, on the other hand, is taking a more focused approach. They’re starting with a specific set of use cases and then expanding from there. This is a much more pragmatic approach, and it’s one that I think is more likely to succeed in the long run.
Another key difference is the team. While Tesla certainly has a lot of talented engineers, they don’t have the same level of robotics expertise as Figure AI. This is a huge advantage for Figure AI, and it’s one that I think will become increasingly apparent as the two companies continue to develop their robots.
The Future is Humanoid
I’ve been in the tech industry long enough to know that it’s impossible to predict the future with 100% accuracy. But if I had to bet on one company to crack the code on humanoid robotics, it would be Figure AI. They have the team, the technology, and the vision to make it happen.
This isn't just about building cool robots. This is about fundamentally changing the way we live and work. Humanoid robots have the potential to solve some of the world’s most pressing problems, from labor shortages to an aging population. And I, for one, am excited to see what the future holds.
Frequently Asked Questions
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.