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Reels & Riffs · Apr 15, 2026

Can Nordic Songcraft Survive the AI Music Flood?

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Erik Steigen · Reels & Riffs

Rena Song Fest (Norway), the world’s biggest songwriting camp, taking place in June each year. Photo by Sara Törnqvist.

There is something unmistakable about a great song from the Nordics.

It’s not just the melody, though there’s almost always a strong and interesting melody. It’s not just the production. though it’s almost always world-class.
It’s something harder to define, and increasingly rare: intentional human craft.

For decades, countries like Norway and Sweden have quietly shaped the global soundscape. From the precision pop of Max Martin to the emotional worlds of AURORA and the atmospheric identity of Röyksopp, not to forget Iceland’s new jazz-classical-pop sensation Laufey, Nordic music has been built on a simple idea:

Songs are made from the ground up. Not generated.

That distinction is now under pressure.

Artificial Intelligence, AI, is no longer theoretical when it comes to music.

Platforms can now generate songs in seconds, complete with vocals, production, and style references that mimic everything from chart pop to indie electronica. What used to take teams of writers, producers, and artists days or weeks can now be approximated instantly.

And importantly, to the average listener scrolling through a feed, the difference is getting harder to hear.

This is the moment where the industry is at risk of making a critical mistake: Treating AI music as just another tool in the same ecosystem as human-made songs. Because it’s not.

Laufey (Iceland). Photo by Rebecca Cabage/Invision/AP

The Nordic model didn’t become globally dominant by accident.

It was built on:

  • Songwriting sessions, camps and collaboration

  • Deep respect for composition and melody

  • Public and private investment in creative development

  • Small, tightly connected creative communities

A songwriting camp might appear to be about quantity, but it’s not a volume game. It’s a quality system meant to create gems.

A songwriter in Oslo or Stockholm doesn’t just assemble tracks. They come up with ideas and refine them. They start over. They write songs from scratch. The process can be slow, human, and often inefficient. Perfecting a song, especially its production, can take time. And that apparent inefficiency is the whole point of the creative process. It’s where identity lives.

I would argue that the best musicians, songwriters and producers got into making music based on their love for music and the creative process. When a songwriter starts writing a song, it is the unknown that is intriguing. It is the attempt to create something new and special that nobody has ever heard like that before, that is alluring. The creative process and the unknown result in the end is what most musicians are addicted to. Many ideas are started on to be tossed out an hour or two later, and that’s okay. It happens to all songwriters. It’s that process of creating something new from scratch that matters. Which is why protecting human-made music is so crucial right now for the future of music and music creators.

Ina Wroldsen (Norway).

AI music systems are trained on existing works. They are, by definition, reflections of what already exists.

AI can simulate the emotional tone of an AURORA track if prompted to do so.
They can approximate the sonic palette of Kygo.

But AI is not part of the cultural moment that produced those sounds.

AI didn’t grow up in Bergen to be inspired by the seven mountains surrounding a magnificent city on the West Coast of Norway drenched in rain 65% of the time. AI didn’t book writing rooms at STIM in Stockholm and gather a handful of great creative minds to write the next Zara Larsson hit. AI has never actually experienced anything. AI predicts what AI thinks you want to hear.

And prediction is not the same as creation.

Speaking of prediction: Let’s majorly digress for a moment to illustrate this point of AI being built to predict:

An interesting post went viral on social media a few days ago when someone uploaded an audio file with bodily sounds we are all familiar with to ChatGPT, the world’s most popular AI chatbot, and asked what it thought of the “music.” Here is the response, clearly what ChatGPT predicted the prompter wanted to hear, and further below is a link to an Instagram post where the audio is played. My favorite part of the reaction is the sentence “it reminds me of something that would play over a quiet city montage or end credits.” I wonder which film director would agree…

Enjoy:

and the reaction continues:

Listen to the uploaded audio on Artificial Intelligence.Insider’s Instagram post - scroll to the last slide for the audio - at your own risk.

We also have to acknowledge the best comments to that post:

Now, let’s get back to our regularly scheduled programming…!

The real threat isn’t that AI replaces great artists.

It’s that it floods the market with “good enough” music, something we have already seen several attempts at.

Music that:

  • Fills playlists

  • Satisfies algorithms

  • Requires no backstory, no identity, no authorship

The danger is that we dumb ourselves down to accept this in a 2026 environment when too many already treat music as a background activity while doing other things.

For regions like the Nordics, where the global reputation is built on consistent excellence, this is a serious challenge. Not because the talent disappears, but because the context around it becomes distorted.

When everything sounds polished, what stands out?

Shellback (Sweden), Justin Timberlake (USA), Max Martin (Sweden). Photo by Kevin Winter. © Getty Images.

I wrote three Reels & Riffs articles about AI Music recently published on December 8, December 20 and January 14. My main argument is that the music industry needs to make a clear distinction between two fundamentally different lanes:

1. Human-created music
Built on experience, authorship, the creative process, and cultural context

2. AI-generated music
Built on data, probability, and simulation

Trying to force both into the same system; same royalties, same discovery pipelines, same value perception; is not just messy. I truly believe it is wrong and misleading.

If AI music is closer to gaming (being interactive, generative, and user-driven) then it should be treated as such and stay on the platforms where the AI music was generated. Not presented to the world as songs.

AI music should never be treated as a direct equivalent to human songwriting, and especially not when there are royalties to be distributed.

The Nordic countries are not just participants in the global music industry.

They are standards-setters.

They’ve proven, over decades, that small creative ecosystems can shape global culture through discipline, collaboration, and craft, which makes them uniquely positioned to push back.

We do this not by rejecting technology, because this is not a rant about how we need to go back to the times when analog was the buzz word, but by defining boundaries.

By insisting that:

  • Authorship matters

  • Craft matters

  • Human perspective matters

  • The creative process matters

And that these things have value; not just emotionally, but economically.

Caroline Ailin (Norway) and Dua Lipa (UK) at the 2024 at the Critics Choice Awards.

This is not just a technology story.

It’s a cultural one. An economic one. And, increasingly, a philosophical one.

Because if we stop distinguishing between what is created and what is generated, we risk destroying the very thing that made music matter in the first place.

The Nordics have spent decades proving that small, human-centered creative ecosystems can shape global culture. Now they, and the rest of us, are being asked to decide what that culture should look like going forward.

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