The U.S.-China Economic and Security Review Commission urged Washington to develop a national data strategy that treats data as an economic asset [1].
This recommendation comes as the U.S. faces increasing competition from China, which has aggressively commercialized its data troves to fuel advancements in emerging technologies. The commission said that failing to adapt could result in the U.S. ceding global leadership in setting the rules for data usage and governance [1].
The commission said that China's approach provides a strategic advantage in sectors such as artificial intelligence and robotics [2]. By treating data as a formal economic asset, the commission suggests the U.S. can better leverage its own information ecosystems to maintain a competitive edge [1].
The report, published June 18, 2024, suggests that the current U.S. framework lacks a cohesive national strategy to match the state-led efforts seen in China [1]. Without such a shift, the U.S. risks falling behind in the development of next-generation technologies that rely heavily on massive, organized datasets [2].
Developing a national strategy would involve creating clearer pathways for the commercialization of data while balancing security, and privacy concerns [1]. The commission said that the ability to harness data efficiently is now a primary driver of economic growth and national security [2].
The commission's findings emphasize the need for a coordinated effort between the public and private sectors to ensure that U.S. data remains a tool for innovation rather than a missed opportunity [1].
“The U.S. risks losing global leadership as China commercialises its data troves.”
This recommendation signals a shift in how U.S. policymakers view the relationship between data and national security. By framing data as an economic asset rather than just a privacy concern or a byproduct of digital activity, the USCC is advocating for a more proactive, state-aligned approach to data management similar to the model used by the Chinese government to accelerate AI development.


