Abstract: Artificial intelligence (AI) governance is another competitive field after the world's scientific and technological powers have launched an "arms race" on big models. There is a tendency of generalization of AI policy, which needs to be analyzed and interpreted from the perspective of system thinking in multiple dimensions. Combined with the principle of technology and the comprehensive analysis of the paper and the implementation feedback of the US AI policy, this paper finds that the overall US AI policy presents the characteristics of rapid iteration, multiple crossover and internal and external "double-sided". Behind it are the market-led AI governance, the cross-border linkage of "government-society-market" subjects, and the political movement of science and technology security. Its policy development trend will focus on seeking new business models and new governance models, pushing more international "cooperation" of big models, and intensifying efforts to suppress potential competitors. Based on this, China's AI governance and policy innovation should not only continue to coordinate development and security; It is also necessary to consider the development trend of the mainstream technology paradigm of big models, incorporate many factors into the element set of policy decision-making and formulation, and adapt the innovation of new technology paradigm and security compliance policy. It is more necessary to adhere to the high level of science and technology self-reliance, while maintaining a high level of reform and opening up. Ultimately, we lead the global AI governance in the new wave of science and technology.