Author: Rinat Mirzaitov

Humanoid robotics may never have a single ChatGPT moment. That would not mean the industry failed. A more plausible outcome is that humanoids become commercially important through a sequence of narrower breakthroughs: one task becomes economical, one customer expands, one robot learns a second workflow faster, service requirements fall, production rises, and another deployment becomes easier because of what was learned from the first. For investors, this would produce a very different market from the one implied by waiting for a single foundation-model release that suddenly makes humanoid robots broadly useful. The key question would shift from when the breakthrough…

Humanoid robotics is difficult for a reason that is easy to underestimate from demonstration videos: the robot has to solve many problems at the same time. It must perceive its surroundings, understand a task, decide what to do, move through physical space, maintain balance, manipulate objects, respond to unexpected conditions and monitor its own hardware. Those functions must work together quickly enough for the machine to remain useful and safe. That makes a humanoid fundamentally different from an AI system that only produces information on a screen. A humanoid converts intelligence into physical action, and every action creates new information…

The technological story through 2035 is unlikely to be one sudden moment when artificial intelligence overturns the economy and humanoid robots immediately replace large categories of physical labor. The more credible forecast is both slower and more consequential: technological capability will continue advancing rapidly, while companies, institutions and physical infrastructure absorb those capabilities at a much slower rate. ChatGPT was released publicly on November 30, 2022, not 2023, although 2023 was the year generative AI became a mainstream business and investment question. The distinction matters because more than three years later, the gap between what AI systems can technically do…

The hardest problem facing humanoid robotics companies is no longer simply making a robot walk, manipulate an object, or complete a carefully selected task. It is converting those capabilities into customer operations that work reliably, safely, repeatedly, and economically enough to survive procurement, integration, and renewal. Public evidence now establishes that useful humanoid work is possible. BMW has confirmed substantial operating activity involving Figure 02, while GXO has confirmed a commercial deployment of Agility Robotics’ Digit. These are material advances beyond promotional demonstrations. They do not yet establish that humanoid robots can be deployed broadly, supported cheaply, or operated profitably…

The Federal Communications Commission has created a formal U.S. market-access barrier for foreign-produced advanced robots just as Unitree Technology prepares to open subscriptions for its Shanghai STAR Market IPO. The strongest evidence is an FCC public notice issued July 28 and Unitree’s own risk disclosure reported by Reuters. The restriction applies to new covered equipment authorizations, while previously authorized Unitree products are not automatically removed from sale. The main uncertainty is how much the policy will constrain future models rather than the company’s existing U.S. business. The FCC added “foreign-produced advanced robotic devices” to its Covered List following an interagency…

Humanoid robotics has entered its foundation-model transition, but it has not yet reached a ChatGPT-style commercial breakthrough. The strongest current evidence supports a three-stage forecast. The developer-platform moment is beginning now, as robot reasoning, vision-language-action models, world models and shared training infrastructure become easier to access. The enterprise moment, when humanoids begin spreading across industrial customers because they can learn useful tasks quickly and operate at acceptable cost, is most likely around 2030. A consumer moment in which capable humanoids enter ordinary homes is more likely around 2034 or later. This forecast does not depend on a robot becoming as…

Samsung Electronics has created a robotics division reporting directly to its chief executive, moving robotics from a distributed research effort toward a centrally managed business priority. The RX, or Robotics eXperience, division will oversee strategy, core technology development and commercialization. This strengthens Samsung’s position as a potential humanoid robotics competitor and consolidator, but it does not yet provide evidence of a market-ready robot, operating customer deployment or robotics revenue. The division will be supported by planned research hubs in the United States, China and Japan. Samsung has appointed Executive Vice President Lee Dongkun to lead its Robotics Strategy Team. Lee…

Humanoid robotics is usually presented as a competition among companies building complete robots. The current Humanoid Analytics Company Tracker shows a broader commercial contest. The tracker contains 225 Core companies, covering humanoid manufacturers and substantial corporate humanoid programs, and 126 Adjacent companies supplying or developing dexterous hands, tactile sensors, components, AI systems, data platforms, software, and integration services. Together, those groups account for 351 in-scope entities reviewed between July 13 and July 14, 2026. The distinction matters because building the complete robot may not be the only, or the earliest, route to commercial value. Core companies carry the difficult task…

UBTECH Robotics appears to have the largest completed primary-capital base among the core humanoid robotics companies in this comparison once its initial public offering and subsequent H-share placements are counted. Its disclosed net proceeds total approximately HK$8.35 billion, equivalent to roughly US$1.07 billion for comparison purposes. Apptronik remains the leader in closed private financing, with more than $935 million raised through its Series A and total capital described by the company as nearly $1 billion. Figure AI has closed $745 million in external Series A and Series B funding, or approximately $845 million when a separately reported $100 million founder-financed…

China expects its humanoid robot output to exceed 100,000 units in 2026, according to Gan Xiaobin, deputy director of the science and technology department under the Ministry of Industry and Information Technology, speaking ahead of the 2026 World Artificial Intelligence Conference in Shanghai. The statement matters because it suggests China is moving the humanoid robotics race from prototype visibility toward industrial-scale production planning. It does not, however, prove that 100,000 humanoid robots will be deployed usefully, paid for by customers, or operating reliably in real work environments. The claim is best treated as a partially confirmed market signal. The official…