Mastering Engineer Explains Why Suno AI Music Sounds Finished — and Why That’s an Illusion

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⭐Why does AI music sound so finished right out of the gate — especially in version Suno v5?
In this video, a professional mastering engineer explains why that perception exists, why it’s often an illusion, and when mastering actually makes sense for AI-generated music.

This is not an attack on AI and not a defense of any platform.
It’s a technical explanation of how AI music is generated, why it often sounds “done,” and why many of the issues people hear are not mastering problems at all.

Clarification: When this video refers to AI music sounding “finished,” it is specifically referring to analysis of Suno version 5. Earlier versions did not consistently reach this level.

We also discuss:

Why AI music often doesn’t need mastering
-The difference between mastering, enhancement, and audio restoration
-Why high-frequency filtering creates a false sense of polish
-Why artifacts and glitches occur across the entire frequency spectrum
-How audience size and responsibility factor into mastering decisions
-The practical “10 / 100” listener rule-of-thumb for mastering judgment

Whether you’re releasing music on SoundCloud, Spotify, or experimenting with AI tools like Suno, this video is meant to clarify when professional mastering is truly justified — and when it isn’t.

If your track is heading toward public release or wider distribution and you believe it may benefit from a professional evaluation, you can reach Edward at: 📩 [email protected]

📌 Note: Many AI tracks contain artifacts that fall outside mastering and into audio restoration. In those cases, no mastering work is recommended — and if that’s the case, we’ll tell you.

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