The benefits – when AI actually makes life easier
Inspiration without having to wait for your brain to wake up
AI can churn out harmonies, rhythms, soundscapes and melodies at a pace that makes an ordinary musician look like a Stone Age man with a recorder. It’s like having a constant jam partner who never suffers from performance anxiety, never gets stuck and never says, “I think we need to take a break”.
That doesn’t mean that AI writes the song for you. It means you don’t have to stare at a blank project in your DAW and wonder why you ever got into music in the first place.
Mixers that actually sound the way you imagined they would
AI tools can analyse frequencies, dynamics and balance, and offer suggestions that are sometimes so spot-on that you wonder if they’ve been eavesdropping on your inner monologue. It’s no substitute for a trained ear – but it’s a brilliant way to avoid sitting there fiddling with the same EQ band until you start questioning your very existence.
Democratisation – the studio moves into your pocket
You no longer need a room full of expensive kit to experiment with sound design, composition or mastering. AI is making advanced tools accessible to more people, which is both fantastic and a little daunting. Suddenly, anyone can make music. And yes, that’s both an advantage and a disadvantage.
The downsides – when AI becomes a little too good for its own good
Music without people
The biggest problem isn’t that AI can create music. It’s that people let AI create music for them and then happily say, “I’ve made a song”. No. You’ve pressed a button. There’s a difference.
Music isn’t just the end result. It’s the process, the struggle, the frustration, the joy, the swearing, and that moment when you realise you have to start all over again. If you take away the human element, you take away the soul. Then it’s just noise.
Conformity – the great musical mess
AI is trained on existing music and therefore tends to reproduce what already works. The result can be music that is technically correct but emotionally sterile. Like a perfectly tuned guitar that nobody can be bothered to play.
Over-reliance – when the tool becomes a crutch
If you let AI do everything, there’s a risk you’ll stop developing your own skills. It’s a bit like always using a sat-nav – eventually, you won’t even know how to get to the kitchen without being told what to do.
“AI steals from existing works and pieced them together”
You hear this a lot, and it sounds dramatic – almost as if AI were sneaking about in the night wearing a black hoodie and breaking into music libraries.
But let’s be honest: That is exactly what every musician already does.
There are hardly any:
- a rhythm
- a chord progression
- a melodic phrase
- an mixing idea
…which hasn’t been done before. Musicians draw inspiration from everything they hear. They borrow, reshape, transform, distort and build on it. That’s how music works. That’s how music has always worked.
Blues guitarists play phrases that are older than their great-grandfather. EDM producers use structures that are so standardised you could set your watch by them. Pop songs follow melodic patterns that have been culturally ingrained since the Stone Age.
It’s not theft. It’s tradition. It’s evolution. It’s music.
AI does the same thing – only faster and with a better memory.
Conclusion – the future is a duet between humans and machines
AI is not the enemy. Nor is it the saviour. It is a tool. A powerful, sometimes irritating, sometimes brilliant tool.
The real question is not if AI will be used in music. That’s already a foregone conclusion. The question is how We use it.
- As inspiration, not a substitute.
- As a reinforcement, not a shortcut.
- As a creative partner, not as a ghostwriter.
When human emotion meets the capabilities of a machine, something new can emerge – something that does not replace what is human, but rather enhances it.
And that is where the music of the future will be born.
Seraphine Kallistra