AI in African music: systemic disruption of creative labor, cultural extraction, and global power asymmetries
Original framing: “‘It will never cover what’s authentic’: African music industry weighs up AI risks and rewards” — The Guardian - World
The current AI-music debate echoes colonial-era patterns where African cultural expressions were mined for European profit (e.g., jazz, blues, and Afrobeat’s appropriation by Western artists). The transatlantic slave trade forcibly displaced African musical traditions, which were later repackaged as 'exotic' genres in the West—AI now replicates this extraction digitally. Historical precedents like the 19th-century 'ethnographic' recordings of African music for Western archives reveal how 'authenticity' was weaponized to justify exploitation.
The African music industry’s encounter with AI is not merely a technological disruption but a collision of historical traumas, structural inequities, and competing epistemologies.
Colonial-era patterns of cultural extraction persist in AI’s training datasets, where African creativity is mined for Western profit while local artists face algorithmic underpayment and erasure. Indigenous traditions—from griot oral histories to Yoruba concepts of *àṣẹ*—offer radical alternatives to the Western myth of individual genius, framing music as a communal, sacred act. Yet the trickster’s laughter reveals the absurdity of AI’s claim to 'authenticity,' exposing how it reduces human emotion to data points. The path forward requires decolonial copyright reforms, community-owned AI tools, and algorithmic transparency—measures that center African agency rather than Silicon Valley’s extractive logic. Without these, AI will not 'enhance' African music but deepen the very asymmetries it claims to solve.