A Study on the Transformative Creative Paradigm After AI Intervention in the Digital Creation Workflow

With the rapid development of generative artificial intelligence, new pathways have emerged in the digital media art creation process, characterized by AI’s auxiliary or deep participation. This study focuses on the application of AI in creative workflows, exploring how its nonlinear features—such as multi-round judgment, instant feedback, and task parallelism—significantly enhance artistic creation efficiency, while shifting the creator’s role from an executor to a designer of process strategies and a coordinator of judgments. Based on the theoretical framework of the “Co-Creation Artificial Intelligence System Ontology” (Tool—Critic—Teammate), this paper conducts an in-depth analysis of two representative cases: the building mapping work The Machine’s Soliloquy at the Chongqing Light Festival and the AI-generated commercial Hidden Domain. The study proposes a cyclic collaboration model of “Prompt—Generate—Judge—Regenerate,” revealing the evolving roles and efficiency advantages of AI at different creative stages, and highlighting how this mechanism aligns closely with the current needs of the art industry. Finally, it argues that the value of generative AI as a nonlinear collaborator lies not in replacing human creativity, but in reshaping the relational logic among judgment, execution, and feedback in artistic creation, providing a feasible structural paradigm for the evolution of future digital creation models.