Abstract:The artificial intelligence (AI) -driven paradigm of scientific research, deeply embedded through the integration of data, computing power, and algorithms, has triggered profound changes in the research process, thinking logic, and organizational patterns. This study systematically summarizes the main characteristics and forms of the AI-driven new scientific research paradigm. It proposes that the evolution of the AI-driven research paradigm is shifting from “automated research” to “model-based research” and “intelligent research.” The depth and scope of AI applications in scientific research continue to expand, and this will drive significant changes in research organization and governance models. In addition, this study discusses the applicability of AI in various fields based on the characteristics of scientific disciplines and analyzes successful cases of the AI-driven new paradigm in various academic fields. It also examines the challenges confronted by key players such as research funding agencies, database construction operators, science and technology leading enterprises, research institutions and researchers, as well as pointing out the implications and making suggestions to explore the AI-driven research applications.