Video · 2026-08-14 · 58m · 6 moments

$39B founder says his company could 100x in 5 years

✦ AI generated

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Prediction◆

Figure and Hark are at an inflection point where they could be 100x to 1000x bigger in 5 years, with a binary outcome of massive success or failure.

Brett Adcock frames his companies as being at a critical inflection point where the outcome is binary — either robots scale or they don't — and all his energy is focused on making them 100x to 1000x bigger.

transcript

Brett Adcock: I think any way I would characterize is like we're just like we're just now like these companies of mine are just now hitting inflection point and they're really early like they can be like really big. So if it works this will like 100x, 1000x from here. So most of my energy is like how do I make sure that works? There is no flatline here. It's either like it goes down or goes up, right? Either like it's binary. Either the robots go out of scale or they don't go out of scale. So in like 5 years time, it's either going to be a very big thing or very bad. And so all my energy is going into making this like thousand or a million x from where we're at here. And so it's it's like the pressure is on to like really just deliver.

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Prediction◆

The AI work happening now is going to be 100 times bigger than the internet.

Brett Adcock predicts that AI will dwarf the internet in scale and impact, citing the speed of progress in deep learning as evidence that this trend is accelerating faster than anything he saw in 15 years of software and internet work.

transcript

Brett Adcock: I think at a high level, I think the AI work that we're seeing here now is going to be so much it's going to be like a hundred times bigger than the internet. It's just like everything is just so it's just working so well. like the system is working well like deep learning works and everything's happening faster than I would have think and my like you know having done like 15 years of like software and internet like it was just like nothing was happening faster on a trend line here it's happening like that in AI.

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Prediction

AI will split into two directions: physical humanoid robots and a digital AI-to-human symbiosis, with the digital version acting like a personal Jarvis that uses computers, has memory, and can see and talk.

Adcock outlines his vision for AI splitting into two paths — physical robots doing real-world labor and a digital AI companion like Iron Man's Jarvis that can autonomously navigate the internet, remember everything about your life, and handle tasks end-to-end without relying on APIs.

transcript

Brett Adcock: I strongly believe like AI will head in two directions like uh like and then at some point maybe even like maybe like head together like the first is we'll have AI out in the physical world that will like do everything in the in in the environment for you like laundry, dishes, cooking like run the supply chain and be in healthcare. The vessel for that is a humanoid robot. It's just a human form and it will just go out and do like you like want one piece of hardware that can like you know the hardware is capable of doing everything and you put like smart AI into it and it'll go off and do everything in the world. That's what Figure is working on. Separately than that, there's going to be this like really close like digital like AI to human symbiosis that forms. You're going to have like this very special thing that you can like talk to that's with you everywhere you go that will know all your stuff, have access to all your memories, have access to all your accounts and systems and be able to actually go do things for like a superhuman assistant. It'll be like um maybe the closest thing is like Jarvis from Iron Man and it will be able to do like it'll be like super human in almost every way. It'll know everything about your life. You'll be able to access it at any moment whenever you need it. It'll be in the background helping you out at all times.

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Claim

The hard problem for Figure is not manufacturing but achieving true human-level intelligence in a robot so it can work in any home or environment through language alone — solving general robotics.

Adcock argues that the real challenge isn't mass production — it's building robots intelligent enough to enter any unseen environment and perform useful work through language commands alone. He believes this is solvable with about 100 robots and a 50-person team, representing a trillion-dollar opportunity.

transcript

Brett Adcock: The hard problem is not that. We think we believe now the most important constraint to really solve is like building a really intelligent robot system to the world... We're trying to crack like the true human level intelligence of figure. Like we really want to tackle like how do we make it so I can put it into any home. It can do every every every job I'd want it to do. That's what we're working on... what I've learned now is that the home is super solvable today. So like we can like not go work on that problem and just like sit here and work in a warehouse, but me or none of my guys want to solve that problem. We want to solve a robot that can go into any environment just through language and do work. We want to be the first to do that. You can probably do that with a 100 robots and a 50 person team. So that that company overnight would be a trillion dollar market cap.

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Data

Figure robots are already performing real work for customers at human speeds with positive ROI, having shipped to three customers and run 200 hours straight at 2.9 seconds per package.

Adcock describes Figure's current progress: robots are deployed to customers including BMW, performing logistics tasks like package sorting at human speed (2.9 seconds per package over 200 continuous hours), with customers citing labor shortages and high turnover as the primary motivation for adoption.

transcript

Brett Adcock: They just did a live YouTube video and they had hundreds of thousands maybe millions of views of people watching this robot sort packages off of a conveyor belt... It's the pitch is like they come to us and they're saying like we're dying with labor. It's like we're like we have like really high turnover. Some areas have over 100% turnover per year. It's really expensive to find talent. We have like a just a large talent shortfall. The talent's really expensive. Like wages are going up and we like we don't have a solve for this. We can't figure out how to automate all this work and uh we need you to come in and help us... We did that 200 hours straight at 2.9 seconds a package. So, we're already at human speeds. We're already doing this here now. They're already having ROI and uh we're now in the early stages of like getting these out to these customers and scaling it up.

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Definition

Working on hard things is easier than working on easy things because hard problems are only 3-5x harder but can have 100x to a million x higher payoff, with less competition and better talent.

Adcock explains his philosophy that tackling hard problems is strategically superior: they're only marginally harder than easy ones but offer exponentially higher returns, attract better talent, and face less competition — using humanoid robots vs. robot dogs as a concrete example.

transcript

Brett Adcock: Everybody's trying to do easy things. When you work on harder things, you have like less generally like overall probably there's like first order like less competition. You have probably like a hard thing probably means like it could be a potential like really big TAM, really big exit if it works... I think there's like a nonlinear curve to scaling like here the difficulty here meaning like I think a lot of the hard things are not like 10 or 100 times harder I think the hard things sometimes are like two or three or four times harder maybe five times harder but they're not 100 times harder so you might have a hundred times better payoff but it might be like three or four times harder... Like probably humanoids are probably like three times harder than that. Maybe four. That's it. But like there's really no I don't think there's like really a real market for for humanoid like like those dogs, right? I think it's just like a niche thing.

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Highlight slides

Inflection Point: Binary Outcome✦ from: Figure and Hark are at an inflection point where they could be 100x to 1000x bigger in 5 years, with a binary outcome of massive success or failure.Growth Potential✦ from: Figure and Hark are at an inflection point where they could be 100x to 1000x bigger in 5 years, with a binary outcome of massive success or failure.Scaling Imperative✦ from: Figure and Hark are at an inflection point where they could be 100x to 1000x bigger in 5 years, with a binary outcome of massive success or failure.AI: 100x Bigger Than the Internet✦ from: The AI work happening now is going to be 100 times bigger than the internet.Speed of AI Progress✦ from: The AI work happening now is going to be 100 times bigger than the internet.

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