Historically, musicians have always learned and incorporated elements from their predecessors. Jazz musicians, for instance, have long engaged in a process called “riffing,” where they build upon and transform musical ideas from other artists. Similarly, hip-hop and electronic music genres have extensively utilized sampling and remixing, which involves taking snippets of existing recordings to create new compositions. In short, it’s how we learn and the building blocks of our creativity.
AI in music creation aligns with a long tradition of using technology to enhance artistic expression. Indeed, music has continuously evolved with each technological advancement, from physical tape splicing in the 1970s to modern digital tools like AutoTune and MIDI.
The current generation of AI tools, like Suno and Udio, can be seen as extensions of these technologies, providing new ways to generate, manipulate, and enhance music. These tools democratize music production, making it accessible to a wider audience who might not have formal training or access to expensive equipment.
It’s essential to recognize that embracing AI in music isn’t about replacing human creativity but about augmenting it. By integrating AI, we can explore new creative horizons and continue the rich tradition of innovation in music. Let’s embrace this evolution and see where it takes us.
