Ever since the Sino-US trade frictions escalated into a full-scale trade war in 2018,the competition between China and the US in the high-tech field has always been the focus of international attention.In this context,public opinion and government narratives often compare the Sino-US artificial intelligence competition with the space race between the US and the Soviet Union during the Cold War,for further validating the policy orientation of "decoupling"between China and the US.Under this narrative,China and the United States are two incompatible national actors in terms of ideology,economic development,and even the vision for the future order of the world.The former Trump administration in the United States also vigorously promoted this view to impose large-scale controls on Sino-US trade,especially in terms of trade and capital flows in the high-tech sector.Trump’s measures include putting intensified restrictions on bilateral economic ties and suppressing the bilateral exchange of students and talents.This paper aims to argue that the popular narrative of zero-sum competition in Sino-US relations,especially in the field of artificial intelligence development,is incorrect and harmful.The interdependence between China and the United States in high-tech fields such as artificial intelligence already exists,which also means that the "decoupling" of the high-tech fields between China and the United States will impose heavy costs on both countries in terms of economic,social,and political development.However,the current research on Sino-US technological development focuses extensively on the perspectives of competition,with the comparison of the development strategies and strengths of the two sides.Therefore,there is a lack of research on the comprehensive and in-depth elaboration of the existing interdependence and integration between the two countries in terms of the development of artificial intelligence.One innovative aspect of this article is to describe and analyze the current interdependence between China and the United States in the field of artificial intelligence,so as to understand the impact and cost of the policy orientation of "decoupling".This paper collects and analyzes relevant data and cases on the interdependence of talent training,capital flows,and data resources between China and the United States in terms of artificial intelligence development.Through the analysis of the quantity,quality,and mobility of AI talents between China and the United States,this paper finds that China and the United States have a high degree of interdependence on talents in the field of artificial intelligence.On the one hand,Chinese researchers play an indispensable role in promoting scientific research and enterprise development in the United States.On the other hand,Chinese students studying in the United States also bring more financial support and jobs to the development of American higher education and other related industries.China has also become the most important source of high-tech non-American talents for the United States.At the same time,the United States is also the largest source for China’s overseas artificial intelligence talent inflow.Regarding the capital flow in the field of artificial intelligence between China and the United States,this paper finds that although the Sino-US government frictions had negative impacts on Sino-US bilateral investment in AI,it has not changed the upward trend of both the scale and the amount of AI investment between China and the United States.The rising enthusiasm of Chinese and American strategic investors in the AI field,particularly in areas involving public interest such as medical care,also demonstrates the long-term strategic considerations and confidence of Chinese and American investors in each other’s market.In terms of data resources,China and the United States each have their respective advantages.This paper further points out that data,as a non-zero-sum resource,requires in-depth communication and cooperation between China and the United States,to maximize its potential value.Areas of cooperation should cover regulations on domestic data storage,cross-border circulation,and security assurance,so as to ensure the interoperability of the data governance between the two countries. |