China’s tech giants race to turn artificial intelligence into real-world machines
MARKET INSIDER – Artificial intelligence is moving out of the cloud and into the physical world—and Alibaba wants to be at the center of that shift. On Tuesday, the Chinese tech giant unveiled a new AI model designed to power robots, signaling its ambition to compete in the rapidly emerging field known as “physical AI,” where software meets machines that can see, move, and act.
The model, called RynnBrain, was developed by Alibaba’s DAMO Academy and is built to help robots understand their surroundings, recognize objects, and execute physical tasks. In a demonstration video, a robot identifies pieces of fruit and places them into a basket—an action that appears simple but requires sophisticated coordination between perception, decision-making, and movement.
RynnBrain gives Alibaba a foothold in robotics at a moment when physical AI is becoming a strategic priority, particularly in China. The sector spans everything from industrial robots to self-driving vehicles and humanoid machines, all of which rely on AI systems capable of modeling and responding to the real world. Beijing has identified robotics and autonomous systems as core technologies in its competition with the United States, accelerating investment and commercialization across the supply chain.
Globally, the race is intensifying. Jensen Huang of Nvidia has repeatedly described AI-driven robotics as a “multitrillion-dollar opportunity,” with Nvidia developing its own robotics-focused models under the Cosmos platform. Google DeepMind is advancing Gemini Robotics-ER, while Elon Musk is building proprietary AI for Tesla’s Optimus humanoid robot.
Alibaba’s move builds on momentum from its Qwen family of AI models, which are regarded as among the most advanced developed in China. Like Qwen, RynnBrain will be released under an open-source framework, allowing developers worldwide to use and adapt the model freely. That strategy has been central to Alibaba’s efforts to grow an international developer ecosystem and counterbalance U.S.-led AI platforms.
China’s advantage may lie in execution. In humanoid robotics in particular, Chinese companies are widely viewed as moving faster than their U.S. counterparts, with multiple firms planning to scale production this year. Combining AI models like RynnBrain with China’s manufacturing depth could accelerate the transition from experimental robots to commercially viable machines.
For investors and industry watchers, Alibaba’s announcement is another sign that the next phase of AI competition will be physical, not just digital. As algorithms increasingly control robots, vehicles, and autonomous systems, the battle for AI leadership will be decided less by chatbots—and more by which companies can successfully deploy intelligence into the real world.
