- in Podcast by Bobby Owsinski
Episode 615 – The Unique Human Fingerprint AI Can’t Match With Craig Anderton
Is AI really coming for your gig, or are most musicians worried about the wrong things entirely? In this episode of my Inner Circle Podcast, author, musician, and lecturer Craig Anderton breaks down what AI actually means for working artists, producers, and songwriters, and why the real advantage is still the human fingerprint that machines cannot touch.
Craig unpacks new listener data that shows real pushback against AI-generated music, why fans still want to support human artists, and how musicians can stop trying to “out-computer a computer” and instead double down on feel, emotion, and creative risk-taking.
He also shares where AI tools are genuinely useful in the studio, from vocal comping and demo production to research and writing, and where they fall apart on nuance, vibe, and context.
You’ll hear Craig’s take on legal and copyright minefields around training data, the difference between influence and imitation, and what K-pop and modern fan culture can teach every independent musician about building deeper connections and putting a unique “fingerprint” in the music.
In This Episode
- Why musicians and engineers are nervous about AI, and how listeners really feel about AI-generated tracks
- What a major Deezer survey revealed about fans wanting AI music labeled or excluded from playlists
- The musical “imperfections” in timing and pitch that machines still cannot truly recreate
- How to stop trying to “out computer a computer” and lean into human feel and emotion
- Craig’s “make love to music” analogy and why asking “what if” beats “how do I” when you create
- Practical studio uses for AI and machine learning, from vocal comping to disposable soundtracks
- The difference between influence and imitation, and why AI cannot live your experiences for you
- What K pop fan culture and physical product can teach every artist about building a loyal audience
And much more.
You can hear it via Apple Podcasts, Amazon Music, YouTube Music, Mixcloud, Spotify, Deezer, TuneIn Radio, or RadioPublic.
Also, a video version of this podcast is now available on YouTube as well.
