AI keeping up with music

What has changed is the music industry. The shifting boundary started in the late 20th century, more or so recently. I’ve learned about AI’s influence through TikTok, where AI-generated music is becoming increasingly common, how it can produce music and much more. For example, when artists can’t think of how to start music or content for their music, there is an app or tool called BandLab that is AI-generated to help with songs. It creates possibilities for artists to experiment with new sounds and styles without needing as much technical knowledge. In addition, it provides inspiration to artists to start a new project, offering a foundation upon which they can build. AI can now produce originals, break compositions for remixing, and even help tailor playlists to match specific moods or vibes. It enhances the listening experience by introducing songs that align with individual tastes and emotional states, making music discovery more engaging and efficient. My thoughts on AI with music can be a little weird because recently, there was a situation between two artists, and everyone thought the artist made a new song when AI used the artist’s voice to create a new song which freaked me out a little. I say that because it blurs the line between authentic and artificial music. The ability to replicate voices through the lines between real and AI-generated content raises concerns about copyrights and the rights of artists. Despite these concerns, I can see how AI could be valuable for musicians and creators. While I’m not an artist or songwriter myself, AI’s involvement could help streamline the creative process and make music production more accessible for many. As years go on moving forward will be finding a balance between embracing AI’s innovative potential and protecting the integrity and rights of artists in the process.