OpenAI plans to build a complete humanoid robot system, including custom hardware and the artificial intelligence to control it, CEO Sam Altman confirmed this week. The announcement marks a significant strategic pivot for the AI company, which previously ended its robotics efforts in 2021. Unlike simply licensing AI models to existing robot platforms, OpenAI is investing in actuators, motors, and other mechanical components that form the physical body of the machine.

Why Is OpenAI Building Hardware When It's Known for Software?

The decision reflects a growing recognition in the AI industry that controlling a physical robot requires deep integration between the brain and the body. OpenAI's CEO explained the rationale in straightforward terms: homes, workplaces, tools, and equipment are all designed around human reach, movement, and manipulation. A humanoid form factor makes practical sense for environments built by and for humans.

More importantly, owning the robot fleet gives OpenAI direct access to physical interaction data. When a robot attempts a task, fails, or succeeds, every sensor reading and correction becomes training material for the AI models that control future robots. This feedback loop is crucial. Forbes reported that insufficient data contributed to OpenAI ending its previous robotics project in 2021. A company-controlled robot fleet could provide the failures, corrections, and sensor records needed to train embodied AI models, which are AI systems designed to learn through physical interaction with the world.

What Does OpenAI's Hiring Tell Us About Its Robot Plans?

OpenAI's recruitment activity reveals the scope of its hardware ambitions. Forbes found 19 open robotics positions in San Francisco, with several focused on critical components that most companies would outsource entirely. The job listings include:

• Actuator Design: Engineers responsible for motors, transmissions, sensing, and thermal architecture, with emphasis on torque density and manufacturability
• Manufacturing Integration: Technical program managers working with manufacturing partners on production-ready designs
• Mechanical Systems: Positions covering PCB layout, thermal simulation, firmware, prototyping, and inventory management

This level of internal hardware development goes far deeper than simply placing an AI model on an existing commercial chassis. Actuators are among the most difficult parts of a humanoid robot to source and manufacture at scale. McKinsey research cited by Forbes indicates that actuators can account for 40 to 60 percent of a humanoid robot's bill of materials. Precision components including harmonic drives and roller screws face concentrated supply chains, while rare earth magnets remain heavily dependent on Chinese processing.

How Does This Compete With Figure AI and Tesla?

OpenAI's move places it in direct competition with vertically integrated humanoid developers. The company previously invested in Figure AI's $675 million funding round in 2024, but Figure ended the collaboration in February 2025 and chose to develop its robot intelligence internally. Figure CEO Brett Adcock stated at the time that embodied AI required integration of both hardware and AI, a philosophy OpenAI now appears to embrace.

"We will definitely do a humanoid. We will do other form factors as well," said Sam Altman.

Sam Altman, CEO at OpenAI

Tesla's Optimus program offers a cautionary tale. Tesla began producing Optimus units roughly five years after announcing the program, yet has not shipped customer robots and missed its target of approximately 10,000 units in 2025. Elon Musk has described Optimus as Tesla's hardest product to scale because its components and supply chain are largely new. OpenAI's actuator recruitment suggests the company understands that manufacturing constraint, even though Altman describes the robot brain as the central challenge.

When Will OpenAI's Humanoid Robot Actually Arrive?

OpenAI has not disclosed the humanoid's design, intended first application, or whether final assembly will be handled internally or by a manufacturing partner. The company has made no product announcement, disclosed no prototype, provided no delivery schedule, and set no production targets. Altman did note that industrial infrastructure and manufacturing would likely come before household adoption, although he expects personal robots to eventually become widely owned.

The timeline remains uncertain, but OpenAI's substantial hiring and hardware focus suggest the company is treating this as a multi-year engineering effort. The company's strategy places it alongside other major AI players betting that controlling the full stack of hardware and software will be essential to winning the humanoid robotics market.