In the current era where artificial intelligence (AI) is deeply integrated into education

interdisciplinary teaching has become a main approach for cultivating innovative talents

and the interdisciplinary teaching competency of teachers urgently needs to be enhanced. This article defines the three core connotations of intelligent tool mastery

data insight and decision-making ability

and cross-border integration and innovation ability

and analyzes the internal logic of technology-driven competency improvement from the aspects of knowledge production

interaction paradigms

and evaluation feedback. Furthermore

it proposes three improvement strategies

including individual empowerment

school guarantee

and platform support

in order to provide theoretical and practical reference for enhancing teachers' interdisciplinary teaching competency driven by AI.