摘要：

目的 在人工智能（AI）深度介入期刊媒体融合的背景下，分析科技期刊编辑在媒体融合实践中面临的能力结构困境，探讨AI作为生产力条件介入后，编辑实现能力跃迁的现实基础与可能路径。 方法 立足科技期刊媒体融合的实践场景，采用理论分析与案例归纳相结合的方法，从编辑个体工作方式变化入手，梳理传统以流程执行为核心的编辑工作模式在媒体融合中的结构性局限，构建“向内个体赋能—向外参与治理”的双路径分析框架，系统探讨编辑能力跃迁的实现机制。 结果 在媒体融合实践中，编辑面临传播任务叠加导致的流程执行压力以及传播参与度受限的双重困境。AI技术的介入为突破这一困境提供了现实条件：通过向内路径，AI工具可为编辑实现事务性减负，使编辑工作方式从具体执行转向流程统筹，工作重心从操作能力转向协作能力；通过向外路径，编辑逐步具备参与内容审核协作、学术议题引领、可信标识体系构建等更高层次传播治理的能力，从而为编辑在传播体系中的结构性位置改编提供了可能。 结论 AI为科技期刊编辑在媒体融合中的能力跃迁提供了技术支撑与路径指引，编辑的专业价值正由单一的流程执行能力向更高层级的协作参与与内容生态治理能力延伸。这一转变也为科技期刊在未来传播格局中重新确立制度性位置提供了新的可能。

关键词: 科技期刊编辑, 媒体融合实践, 人工智能赋能, 能力跃迁, 路径分析

Abstract:

Purposes To analyze the competency dilemmas faced by scientific journal editors in media convergence practices and explore pathways for competency transition under artificial intelligence （AI） empowerment. Methods Grounded in media convergence practice scenarios， this study employs theoretical analysis and case induction to examine the structural limitations of traditional process execution-centered editorial work models and constructs a dual-pathway framework of “inward individual empowerment - outward participatory governance”. Findings Editors face dual challenges of process execution pressure and limited communication participation in media convergence. AI intervention provides realistic solutions： the inward pathway enables task reduction in content processing， format production， and data statistics， transforming editors’ work from specific execution to process coordination and shifting competencies from operational to collaborative capabilities； the outward pathway， based on released time/energy and adjusted competencies， enables editors to participate in higher-level governance including content review collaboration， academic agenda leadership， and credible identification systems. AI empowerment not only improves efficiency but fundamentally changes editors’ structural position in the communication system. Conclusions AI provides technical support for editors’ competency transition in media convergence. Editors’ professional value is extending from process execution to collaborative participation and content ecosystem governance， offering new possibilities for scientific journals to re-establish their institutional position in future communication landscapes.

Key words: Scientific journal editors, Media convergence practices, Artificial intelligence empowerment, Capability transition, Path analysis