Africa’s dynamic music scene, from the vibrant studios in Lagos to the creative hubs of Nairobi, is grappling with an uncertain future. The emergence of generative artificial intelligence (AI) has ignited heated discussions among artists, producers, and legal experts regarding whether this technology signifies a new era of creative freedom or poses a sophisticated threat of cultural appropriation. This discourse reached its zenith recently at the Atlantic Music Expo in Cape Verde, where industry leaders issued stark warnings that urgent regulatory measures are essential to protect Africa’s rich musical heritage from being co-opted by global tech giants.
The economic implications are substantial. Africa’s music streaming sector is projected to soar to Ksh65 billion ($500 million) by 2027. However, the proliferation of AI-generated “deepfake” songs is already undermining the income of prominent artists. Nigerian singer Fave’s experience, where his vocals were cloned for an unauthorized viral track, has raised alarms in the industry. Though Fave managed to reclaim his narrative by releasing official remixes, many emerging artists lack the legal means to safeguard their vocal identities in an environment that evolves more rapidly than legal frameworks can adapt.
The innovation dilemma: tool or thief?
Proponents of AI argue that it has the potential to democratize music production. For younger producers in Kibera with limited access to expensive equipment, AI tools can master tracks, generate drum patterns, and even create orchestral arrangements at a fraction of traditional costs. Augusto Jorge de Albuquerque Veiga, Cape Verde’s Minister of Culture, emphasized the necessity of collaboration to prevent being overwhelmed by these technologies. The expo also highlighted AI’s capacity to archive endangered traditional rhythms and languages, preserving them digitally for future generations.
Despite these positive aspects, the opaque nature of AI training models raises significant concerns. Most AI music generators are fed existing copyrighted material without the consent or compensation of the original creators. This situation is particularly detrimental to African music, which has historically received minimal rewards on global platforms. Intellectual property lawyers in Lagos are advocating for a “cultural data tax,” a levy on tech companies to fund African artists whose works contribute to training algorithms.
Kenya’s copyright and competition challenges
In Kenya, there is growing pressure on the Kenya Music Copyright Society (MCSK) and the Kenya Copyright Board (KECOBO) to modernize the Copyright Act 2001 to account for synthetic media. The country’s music industry, a vital segment of the youth economy, faces challenges from Afrobeats and Gengetone genres that mirror the emerging AI-generated “Nairobi sound.” If AI technology can churn out thousands of songs emulating a leading Kenyan artist, the market value of human creators could diminish significantly.
Compounding these issues, the South African government’s recent reversal of its National AI Policy—previously criticized for including AI citations—has reverberated across the continent. This situation underscores a substantial “trust gap” in governance. For Kenyan artists, the emphasis has increasingly shifted to live performances and “human-verified” content, which are seen as essential to maintain competitiveness in an age dominated by synthetic sounds.
Key obstacles for African music
The legal framework concerning “right of voice” and “digital personality” remains underdeveloped across most African nations. Revenue erosion is another critical issue, as streaming platforms often struggle to differentiate between AI-generated and human-created tracks, resulting in misallocated royalties. Additionally, cultural appropriation manifests when AI models trained on Western datasets misrepresent or dilute African rhythms, leading to generic interpretations of local genres.
The Atlantic Music Expo concluded with a compelling call to establish a Pan-African AI Ethics Charter for the Arts. This initiative aims to ensure that Africa can leverage the advantages of AI without losing the essence of its musical identity. Benito López, expo director, emphasized that while AI can replicate rhythms, it cannot replicate the struggles, history, and lived experiences that render African music genuinely authentic.
The challenge for the next generation of Kenyan artists is to master the algorithm before it outsmarts them. The future of the industry hinges on striking a balance between technological efficiency and the human element, a balance that remains subject to independent verification by the market.
