Beijing has launched a centralised national data group to turn China's data resources into support for artificial intelligence and economic growth. Experts warn that the group's success depends on overcoming entrenched barriers to data sharing. The centrally managed state-owned enterprise was established on October 20, with headquarters in Xiongan New Area, Hebei province. The initiative reflects Beijing's increasing efforts to expand infrastructure supporting China's AI industry.
Vice-Premier Ding Xuexiang told the inauguration ceremony that the initiative was a "major strategic decision" intended to improve China's competitiveness in AI and the digital economy. Zhou Lisha, research director at Tsinghua University's Institute for Modern State-Owned Enterprises, said national coordination was expected to reduce data-sharing and usage costs. Zhou said the group was expected to speed up the conversion of data into commercially valuable assets and support China's economy. Zhou said unlocking the value of China's extensive data resources was expected to stimulate economic growth, in comments recently published by the university's Xiuzhong College.
Sun Yi, a professor at the University of Chinese Academy of Sciences, said the group could develop common data standards and coordinate collection and procurement. Sun said those efforts could supply high-quality data sets for domestic AI models and embodied AI applications, including robotics. People's Daily quoted Sun on Monday as saying those efforts could reduce the overall expense of training AI models.
Beijing is backing the group with major state-backed enterprises, including China's leading telecoms carriers and power grid operators. Guohai Haitong Securities analysts said in a client note last week that this structure could give the group access to the backers' existing resources and infrastructure. China Southern Power Grid is a shareholder in the data group. People's Daily reported on Monday that Yu Yun, the company's digitisation department head, said China Southern Power Grid would link the company's energy-sector data-sharing infrastructure to the group's national platform to facilitate data circulation and develop applications combining computing power and electricity resources.
National Data Administration statistics show that China's data industry expanded 15.7% year on year to 6.78 trillion yuan (US$1.02 trillion) in 2025. The statistics put the number of businesses in the sector at 482,000.
However, experts have identified fragmented data standards, unclear ownership rights and difficulties coordinating resources across companies and government agencies as potential obstacles. Securities Times recently quoted Yu Fenghui, a senior researcher affiliated with Beijing-based think tank Pangoal Institution, as saying persistent barriers included inadequate transaction safeguards and inconsistent regional trading-platform standards, with fragmented rules rather than insufficient regulation now the main obstacle to data flows across regions and industries.
An editorial in the state-backed People's Posts and Telecommunications News last week warned that balancing the group's state-backed role with market-oriented operations would be the biggest challenge. The editorial warned that excessive government intervention could displace private-sector innovation, while excessive emphasis on commercial profit would weaken the group's original mission. The editorial argued that the group should enable existing businesses rather than replace those businesses, concentrating on infrastructure, data-sharing standards and major applications.
China Launches State-Owned Data Group to Fuel AI and Economic Growth
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China has launched a state-owned data group to boost AI and economic growth, with a focus on ecosystem growth. Based in Xiongan New Area, the enterprise aims to cut data-sharing costs and speed up data asset commercialization. Inflation data from the National Data Administration shows the data industry hit 6.78 trillion yuan in 2025, up 15.7% year-on-year. Major state firms, including China Southern Power Grid, will connect their data to the national platform. Experts warn of challenges like fragmented data standards and unclear ownership.
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