The context of AI in music production in 2026

Imagine you spent years learning how to make the best sourdough bread in the city. The recipe is yours, the starter is yours, the technique is yours. Then programmable industrial mixers arrive: they can replicate your bread at impressive speed and at a scale you could never achieve on your own.

But here’s the thing: they only replicate because you created the original. Without your recipe, they would have nothing to imitate. That is exactly how artificial intelligence works in the Sound Branding universe.

Over the past two years, AI has jumped headfirst into the music production market with a seductive promise: generating tracks, sonic signatures, and complete musical identities in seconds. At Zanna Sound, a leading name in Sound Branding in Latin America, we didn’t just watch from the sidelines. We tested, made mistakes, experimented, and reached conclusions that go beyond the hype, backed by serious scientific evidence.

How does AI help in music production?

The first of these conclusions is simple and counterintuitive: starting from scratch with AI rarely works. When we asked an audio generation tool to create a song “from nothing,” the result was technically competent but emotionally empty. It lacked soul, color, identity.

Neuroscientist Daniel Levitin, from McGill University and author of This Is Your Brain on Music, demonstrated that the human brain processes music in a profoundly emotional way, simultaneously activating memory, reward, and decision-making.

Meanwhile, Professor Charles Spence, from the University of Oxford and leader of the Crossmodal Research Group, has proven in dozens of studies that sound alters perceptions subconsciously, changing how people evaluate a product, a space, or a brand without even realizing it.

AI, no matter how sophisticated, still has not mastered this territory. It recombines existing data but does not create with intention. And intention is exactly what Sound Branding demands.

What is the best way to teach AI to combine sounds?

Here is the perspective that few people grasp: AI has no story to tell. It has no experiences, carries no cultural repertoire, and cannot feel the difference between a brand that wants to come across as welcoming and another that wants to feel challenging. It needs a human to bring that compass. Without one, it produces the sonic equivalent of an expressionless face, structurally correct, emotionally inert.

But when you give AI a strong authorial reference or a composition with a defined identity, with the brand’s sonic signature already established, the game changes completely.

The tool captures melodic, rhythmic, and harmonic patterns with impressive precision and transforms them into variations for different contexts: more electronic for social media, more organic for physical environments, more epic for events, more minimalist for apps. This has been AI’s greatest practical advantage in our work.

What are the impacts of AI on music creation?

The strategic impact is enormous. The data confirms it: according to research by the IPA (Institute of Practitioners in Advertising) in partnership with Massive Music, highly memorable music makes a brand 4x more effective in recall.

Music with a high degree of fit with the brand’s identity makes consumers nearly 7x more willing to pay higher prices. And the largest Sonic Branding study ever conducted, the SoundOut Index 2025, covering 174 brands and more than 70,000 consumers, showed that brands with a strong sonic identity have 76% more brand power and 138% greater perceived advertising strength, according to Kantar BrandZ.

Sound is processed by the brain in 0.146 seconds, nearly 3x faster than we process visual information. It arrives before consciousness, before judgment. That is why an original sonic identity is not an aesthetic detail, it is a strategic asset that operates directly on the consumer’s emotional system.

The perspective that still goes unnoticed by many brands: when everyone has access to the same AI tools, what will set a memorable sonic identity apart from a generic one will not be the technology, it will be the creative depth behind it.

The AI music generation market is expected to reach USD 7.29 billion by 2036. This means that soon any brand will be able to generate tracks automatically. And that is where the problem begins: brands without an original sonic identity will all sound the same.

It is the algorithm paradox: the more people use the same tool without a strong human creative reference, the more everything converges toward the same average sound. The generic territory will be crowded. And whoever has built an original sonic identity before that happens will hold an asset that no AI can replicate, precisely because it would need the original to create any version.

After all, is AI a tool or a creator?

That is why we keep affirming, with the conviction of those who live this in practice every day: AI is a tool, not a thinker. It creates from what we create. Human musical genius remains the engine. And in Latin American Sound Branding, where we have been building this awareness for over 18 years, this distinction is strategic.

The future is not human versus machine. It is human with machine, where creativity sets the course and technology accelerates the journey.

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