The integration of artificial intelligence and machine learning into smart music applications presents new avenues for musical expression. These applications facilitate the creation of emotionally expressive compositions by analyzing and interpreting the emotions conveyed in music. Simultaneously, they connect musicians from different locations, enabling collaborative music production in real-time through cloud-based platforms, thus simplifying collaboration in music production. The purpose of this research is to provide insights into the relationship between music and technology, which is closely intertwined with production, distribution, and consumption patterns. Using document analysis as the research method, this study explores the potential benefits of integrating artificial intelligence and machine learning into the music industry, examining future models and use cases from various perspectives. Additionally, this study outlines the need for future research to improve artificial intelligence and machine learning algorithms, ensure their responsible and ethical application, and provide insights into new possibilities for musical innovation.