I just wrote about the billion-dollar rounds flooding into humanoid robotics. Here is the story from the other end of the scale, and I find it more encouraging. Hugging Face's open-source robot, a 25-centimeter bipedal machine with fifteen actuators and a sensor kit that includes a camera, speaker, LiDAR, NFC, Bluetooth, and WiFi, just passed a million dollars in sales. Fully open hardware, openly documented, quietly making real money.
One of these robotics stories is funded like an industrial giant. The other is a small, open, shippable thing that people are actually buying. They are both true, and the small one is the one most builders can learn from.
Open hardware turned out to be a business
The reflexive assumption about open-source hardware is that you cannot make money on it, because anyone can copy the design. Hugging Face's robot is a live counterexample. The plans are open, the software stack is open through their LeRobot ecosystem, and it crossed a million in sales anyway. That is worth sitting with, because it means openness and revenue are not the opposites people assume.
The reason it works is the same reason open-source software companies work. Most buyers do not want to source fifteen actuators, fabricate a chassis, and debug a sensor stack to save money on a robot that already exists and is affordable. They want the finished thing, they want it to work out of the box, and they are happy to pay the people who designed it. Openness is not the giveaway that kills the business. It is the trust and the ecosystem that make the business, because you can see exactly what you are buying, modify it, and build on a platform other people are also building on.
Why this is the better story for builders
The mega-funded humanoid companies are placing a bet only a handful of players can place: billions of dollars, years of runway, factories. That is a real path, and it is not your path or mine. The Hugging Face robot is the other path, and it is copyable. Small, open, well-documented, useful, and sold to a community that already trusts you. You do not need a $1.4 billion round to do a version of that. You need a genuinely good open thing and a community that wants it finished.
This maps directly onto the software lesson I keep returning to. The durable edge is rarely secrecy. It is the combination of something genuinely useful, an ecosystem around it, and enough trust that people would rather buy from you than rebuild it themselves. Open hardware just proved the same thing is true when there are atoms involved, which is the harder case. If it holds for robots, whose bill of materials you can literally photograph, it holds for almost anything you might build in software.
There is a caveat worth stating: a million dollars is a milestone, not a company that has proven it can scale, and hardware margins are brutal in a way software margins are not. This is an encouraging proof point, not a finished case study. But the direction is real, and the direction is the opposite of the one the billion-dollar headlines imply. You do not have to be enormous and closed to make physical AI pay. Small and open is on the board.
If you have shipped open hardware and made it pay, or watched it fail to, I would like to hear which side of the line you landed on and why, because that ledger is where the real lessons are.
