Gino Gavoni

What happens when more than 40 years of original music becomes a machine learning dataset? After two years of experimenting with over 500 compositions, multitrack recordings, MIDI, lyrics and performances, I explored how AI could learn from my own musical history while keeping human creativity at the center. The result is a new way of looking at AI, not as a replacement for songwriters and producers, but as another tool for creating music.

For years, the music industry has chased views, followers, streams and viral moments in search of the next big artist. But attention isn't the same as a fanbase. As labels rediscover the value of artist development, live performance and genuine fan connection, we may be entering a new era of music discovery. Maybe technology didn't replace traditional A&R after all. Maybe the algorithm was never A&R.

I recently watched an interview with Mikey Shulman, CEO of Suno, and something he said stuck with me. His vision for music is not simply about helping musicians make music. It is about making music creation something everyone can participate in, where creation itself becomes part of the entertainment. That sounds innocent enough, maybe even exciting, but when you look at everything else happening around the industry, it starts to raise a much bigger question. Spotify and Universal are...