How to Use AI as a Musician, Remain Authentic, Survive and Become Successful in the Age of the 'Perfect Sound'
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AI made perfection easy. So where does the soul of music go next?
In this episode, Chris breaks down why algorithmic precision is saturating the soundscape—and why humanity is becoming the new scarce signal. Learn how to use AI as a musician without losing your voice, how to remain authentic, survive, and succeed in an AI-saturated creative scene.
What you’ll learn
– Why perfection fatigue is real, and how listener attention is shifting from technical polish to human feeling
– A practical hybrid workflow that uses AI for speed and ideation while preserving your unique taste and fingerprint
– How transparency and showing your messy process can outperform polished releases in the AI era
– Why imperfection is becoming a differentiator—and how to turn flaws into brand assets
Episode roadmap
– When perfect got boring: The Photoshop effect in audio and why pristine no longer moves people
– The rebellion cycle: From disco to punk to grunge to today’s lo-fi and tape-hiss renaissance
– Using AI without losing yourself: Curate machine output, inject human weirdness, and bend tools to your aesthetic
– The new marketing playbook: Document the making, build trust through process, and invite fans into the room
Actionable takeaways
– Use AI as a collaborator, not a tastemaker. Let it generate options, but you make the final call
– Keep human artifacts. Leave subtle timing, breath, grit, and noise that signal real performance
– Market the making. Share studio diaries, failed experiments, and iterative drafts to build connection
– Watch emerging authenticity genres: lo-fi cassette loops, human mixes, analog soul, and handmade music tags
Who this is for
– Musicians, producers, recording artists, mixing and mastering engineers, sound designers, and independent creatives
– Creators exploring AI music tools like Suno, Udio, and MusicGen who want to protect their voice and stand out