Brett Adcock on CEO of Figure

1. Key Themes

Humanoid Robotics as the Largest Business Opportunity in Human History

Brett frames humanoid robotics not as a niche tech bet, but as a civilizational-scale economic shift. The core logic: human labor represents nearly half of global GDP, and robots that can replicate human work at scale would access that entire market.

"The meta problem in robotics is to be able to solve a humanoid robot. If you can solve this, it'll build the biggest business in the world by a large factor. A little under half the world's GDP is human labor." 00:00:00

"There's like 30 trillion, 40 trillion of wages paid every year to folks that'd be doing what at work. We'll be able to expand that work, automate more like a lot of it and continue to scale it up." 00:29:35

Vertical Integration as a Moat, Not Just a Strategy

Figure designs virtually every component in-house — motors, rotors, stators, sensors, joints, battery packs, kinematics — which Brett argues is not just efficient but critical for quality control, supply chain resilience, and intellectual defensibility.

"We design the motors, basically every part within there, the rotor, stator, everything. The sensors, the structure, the kinematics, the joints, the batteries... I think has really enabled us to control our destiny. We get to build our own supply chain. And without that, you're left at the mercy of some vendor." 00:07:00

Intelligence Over Hardware: The Real Bottleneck Is AI

When asked about Optimus and Tesla's manufacturing prowess, Brett pivoted instantly. The differentiator is not manufacturing — it's the AI model that makes the robot actually useful. This reframes the competitive landscape entirely.

"In my mind, this is not a manufacturing problem. This is an intelligence problem." 00:06:19

"We want to be the first place where we see AGI in the physical world. And we think we have the recipe. And we think we have the right training processes in place to do this." 00:31:59

2. Contrarian Perspectives

Figure Fired OpenAI — Not the Other Way Around

Most assume AI foundation model labs are ahead of robotics-specific teams on AI. Brett's claim is the opposite: his in-house team, built from a decade of robot learning backgrounds, outperformed OpenAI on robotics-specific AI tasks within a year of collaboration.

"It got to a point where our team internally that was designing these models were running circles around OpenAI. We were just way better at this... My team had come from robot learning backgrounds for over a decade. And so I fired them." 00:17:04

Trade Shows, PR, and Panels Are a Waste of Time

Against the prevailing startup wisdom that visibility and thought leadership are key to fundraising and recruiting, Brett actively avoids the "founder media circuit."

"Matters less about doing traditional PR and events, like going to trade shows and sitting on panels and stuff. None of this matters. It's not real." 00:22:18

Self-Funding Before Raising Is a Feature, Not a Handicap

Rather than raising institutional capital immediately to reduce personal risk, Brett self-funded Figure from zero to $1M/month burn before raising externally — giving him control and speed that institutional processes would have slowed.

"I self-funded the whole company up front. We got to a million a month of burn in four months." 00:07:30

Humanoid Robots Are Already Working — The Hype Gap Is Real

The common perception is that humanoid robots are still 5-10 years from real-world utility. Brett argues they are working now and the public underestimates progress because most people haven't seen them in person.

"Our hot take for robotics is it's kind of really difficult to see what's really happening in the space without coming on site and really seeing stuff... Humanoid robots are working now. It's pretty simple. Like we're seeing robots do everyday things." 00:01:37

3. Companies Identified

Figure Humanoid robotics company designing full-stack robots including hardware, AI models, and software. Brett is the CEO and founder. Mentioned as the primary subject — shipping robots at scale, deploying to commercial customers (BMW), building in-house AI models (Helix 2), and targeting 1M units/year production.

"We had record production in March and we're going to try to 3X that by May." 00:00:14

Archer Aviation Electric vertical takeoff and landing (eVTOL) aircraft company. Brett founded and took it public. Mentioned as proof of Brett's ability to scale deep-tech companies rapidly from scratch to public markets.

"I led design for every aircraft we have there... led the company through a public offering." 00:08:47

Cover Stealth hardware/AI company using terahertz imaging radar to detect concealed weapons in schools and public venues from standoff distances of 5-20 meters. IP spun out of NASA JPL. Mentioned as a personally funded, under-the-radar company with massive potential across 130,000 K-12 schools and all public venues worldwide.

"I own the IP from NASA Jet Propulsion Lab. I spun it out two years ago and I'm funding this project... we will deploy hopefully to our first schools in beta by end of year." 00:14:36

Hark AI lab focused on highly personalized AI models and next-generation AI-native devices (hardware interfaces to replace phones/laptops for AI interaction). Just came out of stealth with 50 people.

"We're building really awesome, magical AI models. And we're building really magical hardware." 00:15:44

4. People Identified

Jeff Bezos Founder of Amazon, major investor in Figure. Mentioned as a direct investor and source of strategic access for Brett, and as a generational role model for sustained high-performance company building.

"Jeff Bezos, which is a big investor for us at Figure. I get to basically have access to and talk with." 00:24:39

5. Operating Insights

Remove Yourself From the C-Suite Conference Room Before It's Too Late

Brett noticed at Archer post-IPO that he had drifted from product engineering into a loop of board meetings, analyst calls, and exec staff management — and made a deliberate, structural decision to reverse it at Figure. The lesson: CEOs of technical companies must actively protect their time on the floor.

"I woke up one day and I was like, I feel like it was in this Groundhog movie where I was like in this conference room with all my C-suite... I was just stuck in two-day-a-quarter board meetings and analyst callbacks... I made a decision to basically remove everything on my plate to spend time on product engineering." 00:20:59

Ruthlessly Eliminate Social Obligations — Protect Only Family and Work

Rather than "balance," Brett operates on a binary: companies and family. Everything else — friend trips, dinners with acquaintances — was consciously cut five years ago to unlock the mental and calendar space needed for compounding execution.

"About when I was at Archer, I got to a point where I was like, I don't really have time to do all three anymore. So I decided to stop doing the annual golf trip... I just don't do that anymore. I spend all my time with family or my companies." 00:19:36

Small-Batch Commercial Deployments as a Learning System, Not Revenue Events

Rather than scaling commercially as fast as possible, Figure ran a small batch of robots at BMW for six months, extracted learnings, and then rebuilt their entire AI/software commercialization approach. This feedback loop directly produced Helix 2.

"We had a small batch of robots that went out to BMW last year and did work every day. We ran for six months every single day... We refactored our whole approach to how to commercialize the software and AI systems after that. And that kind of led us to Helix 2." 00:05:10

6. Overlooked Insights

Cover: A Hidden Bet on Terahertz Imaging That Could Be Bigger Than Noticed

Brett mentioned Cover almost in passing, but the details are extraordinary and largely unreported. He personally acquired NASA JPL IP for terahertz radar (originally built for detecting bomb vests in Iraq/Afghanistan from standoff distances), recruited the core JPL team to Pasadena, and has been self-funding it for two years. The market is 130,000 K-12 schools in the U.S. alone — before any international or public venue expansion. This company is not publicly tracked, not venture-backed, and has proprietary government-origin technology with a founder who clearly understands how to scale hardware companies.

"There's a technology that was designed at NASA Jet Propulsion Lab about a decade ago that can detect weapons underneath clothes and in backpacks and bags from 5, 10, 20 meters away... I bought it. They'll sell it to you... we will deploy hopefully to our first schools in beta by end of year." 00:13:09

Hark: A New AI Device Category That Predates the "AI Hardware" Hype Wave

Brett's third company, Hark, is explicitly targeting the premise that phones and laptops are the wrong interface for AI — and is building both new AI models and new physical devices to interact with them. With 50 people and just out of stealth, this is a small but serious signal that a founder who successfully scaled two prior deep-tech companies believes the AI device layer is wide open. This is a theme many are discussing, but few are executing on with this pedigree.

"Right now we interact with AI through like 20-year-old computers, like phones and MacBooks and stuff like that. And they're just not the ideal intermediary and interface to AI." 00:15:44