The State-owned Assets Supervision and Administration Commission of the State Council (SASAC, 国务院国有资产监督管理委员会) is not a digital human developer or product company. It is a significant institutional driver of digital human adoption in China because it oversees central state-owned enterprises and influences which AI applications are prioritized, validated, and scaled across that system. In the digital human context, SASAC-linked communications and enterprise cases place digital humans within a broader “AI+” framework for industrial modernization and consumption upgrades, including use cases such as digital human livestreaming, immersive shopping, and enterprise service functions. The scope is not limited to public-facing media or marketing. It also extends to internal operational uses, including AI digital human recruitment interview systems built on domestic large models that support dynamic follow-up questioning and individualized interview planning. This positions SASAC as a governance, policy-signaling, and deployment-enabling institution in the digital human ecosystem, with influence over adoption pathways across central SOEs rather than direct responsibility for creating digital human technologies.
The State-owned Assets Supervision and Administration Commission is involved with digital humans primarily through governance, prioritization, and enterprise-scale AI deployment rather than direct product development, and its role becomes most visible where digital human applications are linked to central state-owned enterprise modernization programs. In practice, this includes framing digital humans as part of a broader intelligent economy strategy in which large-model systems support personalized demand matching, service optimization, and new consumption formats such as digital human livestreaming and immersive shopping, while also connecting those capabilities to operational gains in areas like process optimization, quality control, scheduling, customer response, and precision marketing. SASAC’s involvement is also concrete at the application-selection level, where a central enterprise use case for an AI digital human recruitment interview system built on a domestic large model was recognized as a high-value AI scenario, with capabilities that include individualized interview planning, dynamic follow-up questioning, and structured candidate assessment. In addition, SASAC-linked channels have highlighted central enterprise media and communications examples involving digital humans, including ultra-realistic digital human content in telecom entertainment services, which shows that SASAC functions as a policy-signaling and scaling institution that helps legitimize and circulate digital human use cases across the state-owned sector.