**[ACE Robotics: Embodied Intelligence May Reach Its "ChatGPT Moment" by Late 2027, Data Bottleneck as Key Variable]** BlockBeats News, August 23 — Wang Xiaogang, chairman of Chinese embodied intelligence startup ACE Robotics (Daxiao Robotics), stated in an interview with Reuters: "We anticipate that by the end of next year, driven by advancements in world models and environmental data capture, embodied intelligence will reach its ChatGPT moment." ACE Robotics, backed by Ant Group and SenseTime, raised over $100 million in funding in the first half of 2026 and plans to "initiate an IPO as soon as regulations permit." Wang Xiaogang believes that current robots still struggle to reliably perform a wide range of tasks in unfamiliar environments, and the primary constraint is not algorithms but the severe lack of training data. "Over the past few years, the entire industry has accumulated only about 100,000 hours of data, which is far from sufficient to train embodied foundational models." ACE Robotics plans to collect tens of millions of hours of real-world environmental data within two years and deploy its technology to 1,000 stores over the next year. At the industry level, Boston Dynamics released the mass-production version of Atlas in January, claiming that AI has brought it closer to commercial deployment. In June, Alibaba launched the Qwen-Robot Suite, a robotic model toolkit, while researchers are experimenting with data collection solutions such as the HumanoidExo exoskeleton. The competition in embodied intelligence is shifting from hardware prototypes to a dual race in data scale and model capabilities. [Original Link]