AI-Driven Music Composition and Its Impact on Musical Styles: A Comprehensive Review

Artificial intelligence (AI) has become an influential force in music composition, reshaping stylistic conventions, creative workflows, and audience experiences. This review examines the evolution of AI music composition technologies—from rule-based systems and machine learning models to generative networks and hybrid human-AI tools—and their impact on melodic, harmonic, rhythmic, and structural aspects of musical style. We discuss aesthetic and creative implications, including the redefinition of authorship, co-creative collaboration, audience perception, and ethical considerations. Challenges such as technical limitations, stylistic biases, and intellectual property issues are analyzed, alongside potential solutions. Finally, we explore future directions, emphasizing explainable AI, personalized and adaptive generation, immersive integration with interactive media, and human-AI partnership in creativity. The findings highlight AI’s transformative potential while underscoring the importance of responsible, culturally informed, and collaborative approaches in shaping the future of music.

Authors

Publication Details

Journal
Education insights.
Published
2025-09-25
DOI
https://doi.org/10.70088/eagegp03
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Music Composition and Its Impact on Musical Styles: A Comprehensive Review

Rui Zhao
Education insights.
Music and Audio Processing
article

AI-Driven Music Composition and Its Impact on Musical Styles: A Comprehensive Review

Rui Zhao
article en

Abstract

Artificial intelligence (AI) has become an influential force in music composition, reshaping stylistic conventions, creative workflows, and audience experiences. This review examines the evolution of AI music composition technologies—from rule-based systems and machine learning models to generative networks and hybrid human-AI tools—and their impact on melodic, harmonic, rhythmic, and structural aspects of musical style. We discuss aesthetic and creative implications, including the redefinition of authorship, co-creative collaboration, audience perception, and ethical considerations. Challenges such as technical limitations, stylistic biases, and intellectual property issues are analyzed, alongside potential solutions. Finally, we explore future directions, emphasizing explainable AI, personalized and adaptive generation, immersive integration with interactive media, and human-AI partnership in creativity. The findings highlight AI’s transformative potential while underscoring the importance of responsible, culturally informed, and collaborative approaches in shaping the future of music.

Education insights.Vol. 2(9)
Openalex Percentile: Top 67%
Music and Audio Processing
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