AI-generated music poses a significant threat to the integrity of the art form and the livelihoods of human artists. The core issue lies in authenticity; music is fundamentally a form of human expression, conveying emotion, experience, and unique perspective. AI systems, trained on vast databases of existing music, can only remix and replicate patterns. The resulting tracks, often described as “soulless,” lack the nuanced emotional depth and genuine originality that connects listeners to human-created art.
This technological shift also creates severe ethical and economic concerns. The widespread use of existing, copyrighted music to train AI models without proper compensation constitutes a form of digital plagiarism. This unchecked utilization devalues the original works and further dilutes royalty pools for professional musicians and songwriters. As AI can generate a deluge of “slop”—low-quality, mass-produced content—it becomes harder for real artists to gain attention, thereby displacing human talent and making it more difficult to sustain a creative career.
Furthermore, the technology raises complex questions of ownership and intellectual property. Who owns the copyright for a song created by an algorithm trained on thousands of artists’ works? Until these legal and ethical gray areas are resolved, the pursuit of AI music prioritizes efficiency and profit over human creativity, risking a future where the soundscape becomes homogenized and less diverse.
