| The rapid development of generative artificial intelligence (GAI) and large language models (LLM) is driving journal publishing from the “digital era” toward the “AI era” centered on intelligent decision-making, profoundly reshaping its ideology, process, product, and business model. This paper analyzes the deep challenges faced by journal publishing in the AI era from four dimensions: content production, review and evaluation, knowledge organization, and value realization. By introducing the perspectives of media ecology and actor-network theory, it constructs a new four-tier paradigm framework of “ideology–process–product–ecosystem,” whose core lies in “human–machine collaboration, data-driven operation, and knowledge service.” Finally, six interrelated and progressive innovation paths are proposed from the aspects of strategic concept, technical foundation, process reengineering, talent structure, niche strategy, and risk governance, aiming to provide theoretical reference and practical guidance for the strategic transformation and sustainable development of journal publishing institutions in the AI era. |
