In separate facilities miles apart, two companies are racing to solve the same problem: how to build a robot that looks, moves, and eventually works like a human. Figure and 1X recently released new factory footage showcasing their respective humanoid robots—the Figure 03 and the 1X Neo—and the contrast in their approaches reveals just how diverse the paths to commercialisation have become.

Figure vs 1X: Two Visions of the Humanoid Future

Figure’s factory footage shows a precision-engineered environment where the Figure 03 handles discrete assembly tasks with impressive dexterity. The company’s approach emphasises high-performance motors, sophisticated torque control, and a vision system trained on millions of real-world manipulation examples. Figure has focused on getting the basics right: stable bipedal locomotion, reliable hand-eye coordination, and the ability to recover from perturbations without falling.

1X, meanwhile, showcased the Neo Alpha in a lighter, more flexible manufacturing context. The company’s approach emphasises safety and collaborative potential over pure performance. Neo is designed explicitly to work alongside humans in environments not fully engineered for robots—a crucial distinction for applications in logistics, elder care, and retail.

The Commercial Timeline

Neither company is promising mass-market consumer humanoids anytime soon. The near-term commercial opportunity is narrow: specific industrial tasks where humanoid dexterity adds value—in warehouses, assembly lines, and fulfilment centres. Figure has announced a pilot partnership with BMW. 1X has deployed early units with an undisclosed European logistics partner.

Industry analysts project meaningful commercial deployments—dozens to hundreds of units in controlled environments—by 2027. Mass deployment, if it comes, remains a 2030+ proposition.

Why the Delay?

The core challenge isn’t mechanics. It’s generalisation. Robots can perform specific tasks with superhuman reliability in controlled factory environments. The moment environment or task varies—say, a dropped object, an unexpected obstacle, a slightly different box size—current robots struggle in ways humans don’t. Solving this generalisation problem requires advances in spatial reasoning, tactile sensing, and real-time motor adaptation that remain active research areas.

The Human Impact

For workers, the implications are complex. Proponents argue humanoids will take the most dangerous and repetitive tasks, allowing humans to focus on higher-value work. Skeptics note that warehouse and logistics workers—who have organised, advocated, and occasionally struck for better conditions—may find their negotiating leverage reduced as robotic alternatives improve. The technology will arrive. How societies adapt to it is a choice we haven’t yet made consciously.