AI is everywhere in music production right now.
From voice cloning and AI-generated backing vocals to stem separation, songwriting assistants and tools like Suno, producers are suddenly faced with a question that would have sounded ridiculous five years ago:
What parts of music production should humans still be doing?
In Episode 2 of KNOBS, Simon Moro and Terry Hart explore the real-world use of AI inside professional music production workflows, not the clickbait version.
This episode covers the practical reality of AI tools: where they genuinely save records, where they fall apart, and where they might accidentally strip the humanity out of music altogether.
Topics Covered
- Using AI voice synthesis for backing vocals and harmonies
- Why AI voice cloning still struggles with great singers
- How AI saved expensive recording projects
- Using AI for stem separation and vocal extraction
- Suno and AI-assisted songwriting workflows
- The risks of artists becoming attached to AI demos
- Why professional studios still matter in an AI world
- Mixing tools using machine learning and intelligent processing
- The future of music production education and mentorship
- AI fatigue and the rise of “AI slop”
Our Take On AI
We’re not anti-AI.
We use it.
But we also think there’s a big difference between using AI as a creative accelerator versus letting it become the creative process itself.
Because nobody remembers the prompt.
People remember the sessions. The mistakes. The late nights. The musicians. The moments when a song suddenly came alive in the room.
That part still matters.
And maybe it always will.
Listen now and let us know where you sit: tool or threat?
