The Research Report on Embodied AI Training Grounds (2026), jointly issued by the Artificial Intelligence Research Institute at the China Academy of Information and Communications Technology (CAICT) alongside other collaborating organizations, highlights that the industrial chain for AI training grounds is starting to take shape. This emerging structure exhibits an inverted-triangle pattern, characterized by a robust supply of upstream technologies, while downstream applications are still in the early stages of development and expansion. Given the substantial costs associated with the construction and operation of these training grounds, current commercial services are predominantly centered around the sale of data products. However, an overreliance on data sales alone leads to prolonged payback periods. Consequently, most training grounds are compelled to diversify their revenue streams, exploring avenues such as platform-based transactions to enhance financial sustainability.