AIxchange is moving to turn a long-running complaint about generative music into a practical licensing model, as the Berlin-based initiative gathers support from rights bodies in Europe and Africa. The company says its “Creative Weight Attribution” system is designed to track how much a recording or composition actually shapes an AI model, rather than simply dividing revenue by broad market share or catalogue size.

The latest partners include BUMA/Stemra, which AIxchange describes as its lead collective management organisation ally, alongside AFEM, CAPASSO and SAMPRA. According to AIxchange, the appeal of the model lies in its consent-first approach: creators and rights holders would be asked before their music is used for training, and remuneration would be tied more closely to measured influence. AFEM has already been advancing similar ideas, having published AI principles in 2025 calling for explicit authorisation, fair payment and transparent credit for creators.

The proposal arrives as music and technology firms continue to clash over how generative AI should be trained and monetised. AIxchange argues that the industry risks repeating the mistakes of the streaming era, where opaque terms and uneven distribution left smaller and international catalogues with less leverage. The startup says its framework is intended to avoid that outcome by giving deeper legacy catalogues and niche genres a fairer place in attribution systems.

AIxchange is also leaning on technical partners to strengthen its detection and weighting methods, including the Fraunhofer Institute and music analytics specialist Cyanite. That matters because, as the company acknowledges, AI detection becomes far less reliable once tracks are mastered, altered or remixed. Its response is to move beyond simple fingerprinting and instead estimate a work’s creative contribution inside the model itself.

The campaign is being pushed into the industry spotlight at IMS Ibiza and is due to continue at the Africa Rising Music Conference in Johannesburg. There, AIxchange and its partners want to make the case for a global standard that links AI use of music to licensing, auditability and consent. For supporters, the aim is not to slow AI’s spread, but to ensure that human creators remain part of the value chain.

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Source: Noah Wire Services