The Quality Problem in Music Existed Long Before AI

The most dangerous thing AI has done to songwriting isn’t what people think.

It hasn’t stolen jobs.

It hasn’t destroyed creativity.

It hasn’t killed originality.

It’s lowered our standards.

A lot of writers now confuse completion with quality.

A song gets generated.

The verses rhyme.

The chorus repeats.

The structure looks right.

And suddenly people assume the work is finished.

But anyone who has spent time around great songwriting knows that’s where the real work begins.

The strongest songs rarely succeed because of what they say.

They succeed because of how they make people feel.

That’s the part machines still struggle with.

Not emotion itself.

The tiny decisions.

The unexpected phrase.

The awkward truth.

The line that feels lived rather than assembled.

I don’t worry about AI creating masterpieces.

I worry about creators becoming satisfied too early.

Because audiences can forgive imperfection.

What they don’t forgive is emotional emptiness.

The future belongs to creators who know the difference.

And if you’re using AI in your writing process, don’t ask whether the lyrics are finished.

Ask whether they sound like something only you could have written.

That’s a much harder question.

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King Samuel Benson is a songwriter, creator, and founder of Eritail Studios. Through music, podcasting, and creative commentary, he explores creativity, technology, storytelling, and the ideas shaping the future of independent artistic work.

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