OpenAI Is Building Humanoid Robots: Sam Altman’s Bold Move Beyond ChatGPT, the Race for Physical AI, and What Personal Robots Could Mean for Everyone!

OpenAI may be preparing for its biggest transformation yet: moving beyond chatbots and software into the physical world with humanoid robots. In this episode of The Daily AI Chat, we examine Sam Altman’s statement that OpenAI will “definitely” build humanoids—and his belief that everyone could eventually have a personal robot.The announcement is still a statement of intent, not a finished product or confirmed launch plan. Yet OpenAI’s hiring activity offers a revealing look at what may already be taking shape behind the scenes. A robotics data-acquisition operations role describes work involving collection facilities, operators, rigs, equipment readiness, throughput, downtime, and data quality across multiple robot forms. Those details point toward the difficult operational foundation needed to teach intelligent machines how to act safely and reliably in the real world.Why would OpenAI want to build the body as well as the brain? Controlling its own robot platform could give the company a tighter feedback loop. It could collect physical-behavior data tailored to specific goals, train and revise its models, then test those models on consistent hardware. That could become a major strategic advantage in embodied AI, where high-quality demonstrations and real-world experience are far harder to obtain than text or images from the internet.But humanoid robotics also exposes OpenAI to an entirely new class of challenges. A chatbot mistake may produce an incorrect answer; a robot mistake can damage property or injure someone. Success will depend on far more than impressive model benchmarks. OpenAI will need to demonstrate dependable task completion, low rates of human intervention, safe movement, mechanical reliability, robust perception, and useful work between failures.The competitive stakes are enormous. Tesla is developing Optimus as a general-purpose autonomous humanoid, while Figure has described an integrated system connecting visual-language understanding with high-speed motor control. If OpenAI enters this race with its own hardware, it would compete not only on intelligence but also on sensors, manufacturing, control systems, safety validation, and access to proprietary training data.We also explore the unanswered questions: Will OpenAI begin with industrial and infrastructure work before moving into homes? How will it validate safety around people? Can it manufacture robots at scale? Will personal robots become practical tools, expensive novelties, or a new computing platform as consequential as the smartphone?This discussion separates confirmed facts from ambition and explains why OpenAI’s robot plans matter even before a product exists. The company that helped popularize generative AI may now be positioning itself to put that intelligence into machines that can see, move, manipulate objects, and operate alongside humans.Source: The Rundown AI, published September 6, 2026. Article by Jennifer Mossalgue, drawing on an earlier TIME interview reported by Alex Heath and additional public materials from OpenAI, Figure, and Tesla.Listen for a clear, engaging breakdown of embodied AI, humanoid robotics, robot training data, OpenAI’s hardware strategy, personal robots, Tesla Optimus, Figure AI, automation, and the future of intelligent machines.