Artificial intelligence (AI) is increasingly influencing how music is created, taught, and learned. For music education, this development raises important questions about its impact on pedagogy, teachers’ practices, and students’ experiences of creativity and learning. This paper presentation reports on progress from an ongoing PhD project (2024-2027) that addresses these issues through studies conducted in both Norway and Hong Kong.The first study is a scoping review of 22 empirical articles published between 2023 and 2025, conducted using Arksey and O’Malley’s framework and reported according to PRISMA guidelines. The review reveals a predominance of experimental research in Asian higher education, with findings pointing to positive effects of AI on creativity, motivation, self-efficacy, and technical skills. At the same time, concerns regarding authorship, authenticity, and teacher preparedness emerge, underscoring the need for critical engagement and teacher training.The second study is a cross-cultural survey of music teachers in Norway and Hong Kong. The questionnaire explores teachers’ use of AI in classroom practice, their perceptions of pedagogical affordances, and ethical considerations. The comparative design generates both shared insights and contrasts shaped by different educational contexts, offering a deeper understanding of global readiness and attitudes toward AI in music education.The third study is an experimental investigation with music teacher education students, focusing on an eight-lesson unit in Ableton Live. The test group uses AI-assisted production tools such as ChatGPT and Suno.com, while the control group works with Ableton Live and the sample library platform Splice. Pre- and post-tests examine effects on students’ perceived self-efficacy, learning outcomes, and creative products.Together, these three strands provide a comprehensive exploration of AI in music education, linking a systematic mapping of the research field with empirical insights from teachers and students. The paper presentation will address implications for pedagogy, teacher education, and future research, with particular emphasis on developing AI literacy as an essential competency for music educators. By situating music education within global debates on technology and creativity, this work highlights both the opportunities and the challenges that AI introduces to the field.