THE NEXT SOUND IS NOT HUMAN OR AI.
IT IS HUMAN, AUGMENTED.

More music does not automatically mean better music.

Democratization has always increased quantity before it increases quality. AI is doing that at an unprecedented scale. An enormous amount of AI-generated music today is generic, predictable or simply irrelevant. We have no interest in pretending otherwise.

But that is not, in itself, an argument against AI. Most music made by humans has always been forgettable too. The difference is that generative systems can now reproduce the musical average at extraordinary speed.

And perhaps that exposes something uncomfortable.

If a musical formula can be convincingly reproduced from a few words, the problem may not be the machine. The formula may already have been exhausted.

For years, large parts of music have become extraordinarily sophisticated at refinement, revival and recombination. Production improved. Tools improved. Access improved. But genuine ruptures — moments when we hear something and do not yet know what to call it — became rarer.

AI should not become another machine for producing more of what we already have. That would be the least interesting possible future.

Rights matter. So does listening.

We understand why the arrival of generative music has produced resistance. Musicians, unions, labels and rightsholders are fighting very real battles over consent, copyright, attribution, compensation and the recordings used to train generative systems.

Those questions matter. They must be resolved fairly. Artists should participate in the value created from their work, and technology does not acquire a moral exemption simply because it is new.

But there is another question, and it should not be confused with the legal one:

What happens after the music reaches our ears?

Too often, AI-assisted music receives a scarlet letter before anybody seriously considers what the artist actually did with the technology. The process becomes the verdict. We reject that.

We do not believe a record should be celebrated because AI was involved. But neither do we believe it should be dismissed because AI was involved.

Listen first. Then judge the imagination, the decisions, the emotion, the transformation and the music.

None of us creates from nothing.

There is a strange mythology around human creativity: the idea that an original piece of music somehow appears untouched from the deepest interior of its creator. That is not how culture works.

Every musician is formed by thousands of hours of listening. Every composer absorbs harmony, rhythm, timbre, structure and gesture from other composers. Every producer accumulates sonic memories. Every DJ builds relationships between records that already existed.

Sometimes we deliberately quote those influences. Sometimes we transform them until their origin disappears. And sometimes cryptomnesia does something stranger: an idea returns from memory and we genuinely experience it as our own.

Metaphorically, every musician carries a private training set.

Everything we have heard leaves traces. We recombine them, distort them, forget where they came from and occasionally create something whose ingredients are familiar but whose final form feels new.

That does not mean human learning and machine training are technically, ethically or legally the same thing. They are not, and questions around permission and remuneration deserve serious answers. But it does mean that influence itself cannot be the crime.

The meaningful question is what happens next. Is the result merely imitation? Or has somebody transformed those influences into something with identity, intention and value? We have always asked that question of human artists. We should be capable of asking it of human–AI creation too.

Technology does not owe us our old position.

Every technological revolution produces fear. Sometimes that fear is justified. Jobs disappear. Skills lose scarcity. Economic structures change.

Music has experienced this repeatedly: recorded music challenged live musicians; synthesizers challenged orchestras and session players; drum machines challenged drummers; sampling challenged conventional ideas of authorship; affordable digital studios challenged expensive recording facilities.

And yet music did not end. Its frontier moved.

We do not believe an existing musical formula has an intrinsic right to remain economically protected simply because people once needed more money, equipment or technical knowledge to reproduce it.

If a machine can easily replicate something we considered uniquely valuable, then perhaps we need to ask an uncomfortable question: where was the value actually located? Scarcity? Technical difficulty? Access to expensive production? Or the idea itself?

AI does not make human creativity irrelevant. But it may brutally expose where creativity was already absent. And if part of commercial music can now be reproduced almost automatically, our response should not simply be to forbid the machine from entering the room. It should be to demand more from ourselves. More identity. More risk. More intention. More humanity. More reasons not to be replaceable.

Björk already warned us about this.

When electronic music was undergoing an earlier technological revolution, musicians heard remarkably similar accusations. Machines were cold. Computers had no feelings. Electronic music had no soul.

Björk's response in 1995 was simple: “the computer is just a tool.” If computer music lacked soul, she argued, it was because nobody had put it there.

Almost thirty years later, discussing artificial intelligence, she returned to exactly the same idea: “We have to bring soul to things made by AI.”

That is very close to what we believe. A guitar does not supply the emotion. Neither does a synthesizer. Neither does a sampler. Neither does an orchestra. And neither does an AI model.

The tool expands the possibility. The human decides why it matters.

The frontier of AI music is not yet the frontier of music.

That is precisely why NEXT SOUND exists. At the moment, generative systems are astonishingly capable of reproducing musical conventions. We are much less interested in that.

We are interested in the artists who push these systems away from their defaults. People who combine things that should not belong together. Who break structures. Who force models into unfamiliar territories. Who discover that an error is not always an error. Who recognise when a strange transition, an impossible performance, an unstable voice or a synthetic artefact contains the beginning of a new musical idea.

Who understand that the first generation may be the least interesting one. Who cut it apart. Resample it. Rearrange it. Play over it. Destroy it. Rebuild it. Contradict it. Make it theirs.

AI is extraordinarily good at giving us statistically plausible answers. Art often begins when somebody refuses the plausible answer.

Those are the people we want to find. Not the best prompt. Not the most technically impressive generation. Not the most convincing imitation of an existing hit. The music.

Human intention. Machine surprise. Human authorship.

We believe the most interesting future is neither human versus AI nor AI replacing the musician. It is the continuous conversation between both.

An artist can arrive with a melody, a rhythm, a piece of writing, an unfinished production, twenty years of musical culture — or simply an intuition they do not yet know how to realise.

The machine can extend it. Distort it. Misunderstand it. Contradict it. Or take it somewhere the artist would never have gone alone. And then the artist decides. What matters. What survives. What disappears. What needs to be played again. What was merely an error. And what was an error worth keeping. What becomes the work.

The technology expands the palette. It does not decide what is worth painting.

AI can take music forward. It can also take it sideways — and backwards.

The possibilities are not only about inventing the future. Generative systems may give us extraordinary new access to musical time.

Entire sonic ecosystems have disappeared because the musicians, rooms, microphones, consoles, synthesizers, recording techniques and economic conditions that created them no longer exist in the same combination.

AI offers the possibility of entering some of those worlds again. Not simply to imitate them. To change them.

To imagine a soul record that might have existed in 1972 but contains a harmony nobody would have written in 1972. A forgotten 1981 electro-funk record from an alternative timeline. A big band performing something that could never have been conceived in the 1930s. An impossible ensemble. An instrument that has never existed. A recording that feels discovered rather than created — until something happens that tells you it could never actually have belonged to our history.

The first digital revolution democratized access to the studio. Generative music may democratize access to musical time.

It may allow us to travel backwards into lost sonic worlds, forwards into sounds we have not yet named, and sideways into alternative musical realities that were never recorded.

That is what we want to reward.

NEXT SOUND AWARDS was created to find signal inside an increasingly enormous ocean of generated music.

We are not interested in rewarding music simply because AI was used to make it. Quite the opposite. As AI makes music easier to produce, our standards should become higher, not lower.

We want to discover music that needed somebody to have an idea. Music with identity. Music with judgement behind it. Music that makes strange technology emotionally relevant. Music that resurrects forgotten languages. Music that invents new ones. Music that stretches an existing genre until it becomes something else. Music that emerges from a mistake somebody was intelligent enough not to correct. Music that makes us dance. Feel. Think. Or simply stop because we have not heard anything quite like it before.

Ultimately, AI-assisted music will not earn cultural respect because it wins awards created specifically for AI. It will earn respect when a record made with AI is simply considered a great record.

When a DJ plays it because it destroys a dancefloor. When a critic champions it because it matters. When a soundtrack moves an audience. When musicians themselves want to understand how it was made.

When somebody hears something genuinely new and their first question is no longer: “Was this made with AI?” but: “What is this music called?”

That is the moment we are looking for. When the technology becomes less interesting than the music. NEXT SOUND exists to help accelerate that moment.