AI and music have become increasingly interconnected in recent years. There are a variety of ways that AI is being used in music:

 

1. Music generation: AI algorithms can be trained to create new pieces of music, either by analyzing existing music or through trial and error. This has resulted in a growing number of AI-generated pieces of music, some of which have been well-received by listeners.

2. Music recommendation: AI algorithms can be used to analyze a user’s listening history and make personalized recommendations for new music that they might enjoy.

3. Music transcription: AI algorithms can be used to transcribe audio recordings of music into written notation, making it easier for musicians to learn and play the music.

4. Music analysis: AI algorithms can be used to analyze existing music in order to identify patterns and structures, which can then be used to create new music or to better understand the music that already exists.

5. Music performance: AI algorithms can be used to create virtual instruments that can be played using MIDI controllers or other input devices. These virtual instruments can produce sounds that are indistinguishable from those produced by real instruments, allowing musicians to create complex arrangements without the need for a large ensemble.

Overall, AI has the potential to revolutionize the music industry in many ways, from the creation of new music to the way that music is marketed and distributed. However, there are also concerns about the impact that AI could have on the jobs of human musicians and the potential for AI-generated music to lack the emotional depth and creativity of music created by human composers and performers.

And that is the point for me personally what makes music so great and relateable. The organic, creative and emotional expression. Maybe AI can somehow replicate what artist created back than but i would rather see a band perform than a Laptop.