In the race to build a robotic workforce, Figure AI, Inc. just strapped on a jetpack. In a candid walkthrough on the Shawn Ryan Show, the company revealed it can now assemble a complete humanoid robot in about 90 minutes. This isn’t some far-off projection; it’s their current capability when the line is running, with ambitions to scale to a staggering one million units per year within the decade. Let that sink in. We’ve officially left the “one-off science project” phase of humanoids and entered the era of the assembly line.
The robot at the center of this manufacturing blitz stands 5'6" tall, weighs around 135 pounds, and runs for four to five hours on a single charge. When it’s out of juice, it recharges in about an hour by simply standing on an inductive charging pad, pulling in about two kilowatts of power wirelessly through its feet. Every movement, from walking and balancing to complex manipulation, is driven entirely by Figure’s Helix neural network; there’s no traditional, hand-written code for its actions. When asked about durability, a Figure representative noted with admirable frankness that after a fall, “Sometimes we break necks, sometimes it’s fine.”
This production horsepower isn’t just for show. Figure AI already has commercial agreements with heavyweights like BMW for automotive manufacturing and Brookfield for logistics and real estate applications. The company also teased two more major customer announcements coming within the next 60 days. The robots feature fifth-generation hands with embedded cameras and tactile sensors, a soft, foam-wrapped body for safety, and removable “clothes” that don’t require tools.
Why is this important?
The biggest bottleneck in robotics has never been just the robot; it’s the factory that builds the robot. While competitors focus on demos, Figure is focused on scaling production. A 90-minute build time per unit fundamentally changes the economics and accessibility of general-purpose robots. It signals a strategic pivot from crafting individual, high-cost prototypes to mass-producing a standardized platform. This approach, combined with an AI-first control system that learns instead of being explicitly programmed, suggests Figure isn’t just trying to build a better robot—it’s trying to build the Ford Model T of the humanoid world. The race is no longer just about who has the most agile bot, but who can build and deploy them by the thousands.