OpenAI CEO Sam Altman confirmed the company will build humanoid robots powered by its artificial intelligence models, but the plan faces a critical vulnerability: nearly all the specialized components needed to manufacture these robots are controlled by China. This dependency could dramatically increase costs and create geopolitical risks for one of the world's most influential AI companies.

What Makes Humanoid Robots So Expensive?

The core problem lies in a single component: actuators, or robot motors. These motors account for roughly 40 to 60 percent of a humanoid robot's total build cost, according to an April 2026 McKinsey and Company supply-chain report. The catch is that these motors rely on rare-earth magnets, and China dominates the global processing of these materials.

The numbers are stark. Approximately 90 percent of the world's magnet processing happens in China, as does about 69 percent of rare-earth mining that feeds into that processing pipeline, according to McKinsey's analysis. Without access to Chinese suppliers, a typical humanoid robot would cost roughly $131,000 to build, according to robotics firm OpenMind's 2026 Physical AI Readiness Index. That figure is nearly triple the $46,000 the same robot would cost using standard supply chains, which already run through China.

Why Is OpenAI Entering the Robotics Market Now?

Altman discussed OpenAI's robotics ambitions during a September 1 podcast episode, explaining that the company envisions humanoid robots specializing in different tasks, such as working in data centers. He emphasized the importance of advancing artificial intelligence infrastructure to support this vision. "I would love to have a personal robot that could do the tasks that I don't wanna do," Altman said during the podcast.

This marks a significant shift for OpenAI. The company previously eliminated its robotics team in 2021 after struggling to acquire enough real-world robot data to train its models, according to reporting from VentureBeat. The new push suggests OpenAI believes it has solved that data problem and is ready to vertically integrate robotics and artificial intelligence.

How Does This Compare to Competitors Like Figure AI?

OpenAI is not alone in pursuing humanoid robotics. Figure AI, a competitor in the space, has already committed to vertical integration of robot artificial intelligence and hardware. Brett Adcock, CEO of Figure AI, explained the company's philosophy after parting ways with OpenAI in February 2025: "We found that to solve embodied AI at scale in the real world, you have to vertically integrate robot AI. We can't outsource AI for the same reason we can't outsource our hardware," Adcock stated.

Brett Adcock, CEO of Figure AI

"We found that to solve embodied AI at scale in the real world, you have to vertically integrate robot AI. We can't outsource AI for the same reason we can't outsource our hardware," said Brett Adcock.

Brett Adcock, CEO at Figure AI

Figure AI produces general-purpose humanoid robots intended for factory use, with plans to eventually deploy them in homes. The company's vision extends beyond labor replacement; according to its "Master Plan," robots will eventually become capable of building other robots, potentially reducing labor costs and freeing humans from manual work.

What Are the Key Supply Chain Vulnerabilities?

The supply chain challenge breaks down into several critical dependencies:

• Rare-Earth Mining: China controls approximately 69 percent of global rare-earth mining, the raw material needed to create the magnets that power robot motors.
• Magnet Processing: About 90 percent of the world's magnet processing occurs in China, meaning even if rare-earth materials come from elsewhere, they must be refined there.
• Motor Manufacturing: Actuators represent 40 to 60 percent of a humanoid robot's cost, and these motors depend entirely on processed rare-earth magnets.
• Cost Multiplication: Without Chinese suppliers, production costs could triple from $46,000 to $131,000 per robot, making commercial deployment economically unfeasible.

Steps to Understanding the Geopolitical Risk

For investors, policymakers, and technology observers, understanding this supply chain vulnerability requires examining several dimensions:

• Trade Policy Risk: Any future trade restrictions or tariffs on Chinese components could immediately increase costs for OpenAI and other humanoid robot manufacturers, potentially making their business models unviable.
• Strategic Dependency: Relying on a single country for critical components creates leverage for that country in negotiations, potentially affecting technology development timelines and capabilities.
• Domestic Supply Development: The U.S. and allied nations would need to invest heavily in rare-earth mining and magnet processing infrastructure to reduce this dependency, a process that could take years or decades.
• Competitive Advantage: Companies that can secure alternative supply chains or develop new manufacturing processes could gain significant competitive advantages in the emerging humanoid robotics market.

The challenge facing OpenAI and other humanoid robot developers is not primarily technological; it is logistical and geopolitical. While artificial intelligence models can be trained anywhere with sufficient computing power, the physical robots that embody these models require materials and manufacturing capabilities concentrated in a single country. This structural vulnerability could shape the future of the robotics industry for years to come.