AI赋能新质生产力的文献计量和可视化分析研究OA

Taking the core literature database of China National Knowledge Infrastructure(CNKI)as the data source,combined with the database literature analysis tools,high-cited literature statistics,and bibliometric and visual analysis methodsof CiteSpace,this paper shows the research status,hot directions,and development trends in the field of AI-enabled new productivity.The study finds that new productivity,as an inevitable result of the iteration of productivity development,involves diversified and optimized elements,among which AI empowerment has become the core supporting force.This paper focuses on the field of science and technology empowerment of new quality productivity.The results show that AI,driven by data,algorithms,and computing power,promotes productivity change from three aspects:shaping new workers,transforming labor materials and labor objects,and optimizing the allocation of production factors.Through innovative factor allocation methods,AI helps to form a new type of production relationship.The talent cultivation of new productivity,the correlation and combination of multiple innovation elements,and the construction of digital industrial systems have become the hot topics of future research.