This study explores the transformative impact of artificial intelligence (AI) on the structure of the music industry and the evolving patterns of digital music consumption. The research aims to investigate how AI-driven music platforms foster new forms of user engagement, leading to a paradigm shift from passive listening to active participation and co-creation. Traditionally, digital music consumption has centered on streaming and algorithmic recommendations. However, with the advent of AI technologies, users are increasingly engaging in personalized experiences, interactive creation, and collaborative musical expression. Drawing upon theoretical frameworks of digital consumption and user engagement, this study reviews the evolution of music consumption behaviors and examines key AI music platforms such as Spotify’s AI DJ, Boomy, and Mubert. Through case analysis, the research identifies how personalized recommendations, generative AI music composition, and interactive interfaces enhance user motivation, emotional involvement, and behavioral participation. The findings reveal that AI music platforms not only provide tailored listening experiences but also empower users to take part in music creation, transforming their role from passive consumers to active co-creators. This shift signifies a broader transformation in the digital music ecosystem, where consumption becomes a participatory and expressive act. Ultimately, the study highlights how the integration of AI and user engagement is redefining the meaning of music consumption, generating new cultural and economic value within platform-based ecosystems. The results provide theoretical and practical implications for future music industry strategies and platform business models.

ABSTRACT
1. 서론
    1.1 연구의 배경 및 필요성
    1.2 연구 목적 및 연구 문제
2. 이론적 배경
    2.1 디지털 음악 소비의 변화
    2.2 인공지능(AI) 기술과 음악 산업 혁신
    2.3 사용자 참여(User Engagement) 개념
    2.4 선행연구 검토 및 연구의 차별성
3. AI 음악 플랫폼의 현황 및 사례 분석
    3.1 주요 AI 음악 플랫폼 개요
    3.2 사용자 경험 중심의 인터페이스와 기능
    3.3 AI 추천 알고리즘과 개인화 전략
    3.4 플랫폼별 사용자 참여 구조 비교
4. 사용자 참여와 소비 행태 분석
    4.1 사용자 참여 동기 및 만족 요인
    4.2 개인화 경험이 소비 행태에 미치는 영향
    4.3 AI 음악 플랫폼이 만들어내는 새로운 소비 문화
5. 결론
참고문헌

• Kim young(Department of Practical Music, JoongBu University, 305, Dongheon-ro, Deokyang-gu, Goyang-si, Gyeonggi-do, Korea) | 김영 Corresponding author