China Releases Report on Embodied AI Training Grounds and Industry Challenges

The China Academy of Information and Communications Technology and its partners have released the "Embodied AI Training Ground Research Report (2026)." The report highlights that while the industry chain is beginning to take shape, it faces an inverted triangle structure with active upstream technology supply but limited downstream applications. Embodied AI requires physical interaction with environments, making specialized training grounds crucial for testing and data collection. However, high construction costs and long payback periods from data sales could slow down the commercialization and deployment of humanoid robots. Building these training grounds is highly capital-intensive, involving costs for scene construction, data acquisition, hardware, computing power, and storage. To achieve profitability, the report suggests transitioning from simple data sales to diversified models like platform transactions and "Training as a Service" (TaaS).