生成式人工智能(GenAI)正重塑口译工作模式，推动译员能力升级，高校口译专业教学亟需变革。本文首先梳理了译员能力的概念缘起和构成，提出 GenAI 时代译员能力升级的口译能力优化、技术能力扩展及职业素质更新；进而讨论高校口译教学变革路径，应依据译员能力的复合多元性和动态阶段性拓展课程设置、革新教学内容、完善教学进度、重构授课安排，并着力培养高阶思维能力。本文旨在为 GenAI 时代口译教学和译员职业可持续发展提供参考。

The emergence of Generative Artificial Intelligence (GenAI) has reshaped the interpreting practice and imposed new demands on interpreter competence. Consequently, interpreter training in higher education requires systematic reform to meet the challenge. This paper first reviews the conceptual origins and core components of interpreter competence. On this basis, it identifies three key elements for upgraded interpreter competence: improved interpreting skills, expanded technological capabilities, and updated professional qualities. The paper then discusses how interpreter training in higher education can be reformed in light of the upgraded competence. It proposed the enrichment of curriculum design and teaching content, and the optimization of training progression and arrangements so as to reflect the complex and dynamic nature of interpreter competence. At the same time, greater emphasis should be placed on higher-order thinking abilities. This study aims to provide insights for interpreter training and the sustainable professional development of interpreters in the GenAI era.