US and China Compete to Export AI Governance Models

The United States and China are competing to export opposing models of artificial intelligence governance to influence emerging digital economies [1, 2].

This rivalry matters because the standards adopted by other nations will determine who controls the underlying infrastructure, funding, and regulatory frameworks of the global AI era [1, 2].

The U.S. is promoting a market-driven ecosystem designed to foster innovation through private sector leadership [1, 3]. This approach emphasizes the role of commercial enterprises in shaping how AI is deployed and scaled globally. To support this vision, the U.S. has invested in digital-skills training in locations such as a training center in Ouagadougou, Burkina Faso ^[1].

China is pursuing a different path, championing an open-source model that emphasizes safety and state-aligned regulation [1, 3]. By exporting this framework, Beijing seeks to provide an alternative to the American system—one that integrates safety-focused oversight with accessible technology.

Both nations view the export of these visions as a strategic necessity [1, 2]. The competition extends beyond software and hardware to include the very rules that govern how AI interacts with society. By securing the adoption of their specific models, each power aims to lock in strategic influence over the technological trajectory of other countries [1, 2].

The struggle for dominance is playing out across the globe as nations decide which framework best suits their economic and political needs. While the U.S. leverages its existing market dominance, China utilizes its open-source initiatives to gain a foothold in developing regions [1, 3].