‘It will never cover what’s authentic’: African music industry weighs up AI risks and rewards

2026-04-29 · Source: AI (artificial intelligence) | The Guardian · Field: Media & Entertainment — Content Creation & Production, Entertainment Technology & Innovation, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, short

Summary

The Atlantic Music Expo in Cape Verde recently focused on the opportunities and risks of AI in the music industry, particularly for African markets. Delegates discussed how AI tools for mixing, mastering, and marketing can help independent artists, while emphasizing that AI cannot replace human talent or authenticity. The event highlighted concerns over weak intellectual property frameworks in many African nations, making them vulnerable to AI-generated plagiarism. Cape Verde, one of the few African states with a dedicated AI policy, aims to become a global cultural hub, with its culture minister, Augusto Jorge de Albuquerque Veiga, advocating for artists to integrate AI without losing their human identity. The expo also featured live performances, including the Brazilian ensemble Sambaiana, reinforcing the value of human interaction and emotion in music.

Key takeaway

For music industry professionals and policymakers in emerging markets, understanding AI's dual nature is critical. You should prioritize developing robust intellectual property protections to safeguard artists from AI-driven plagiarism, while simultaneously exploring how AI tools can empower independent creators to expand their global reach without compromising cultural authenticity. Invest in local AI solutions that amplify unique artistic expressions.

Key insights

AI offers music industry tools but cannot replace human authenticity, especially in vulnerable markets.

Principles

• AI complements, not substitutes, human creativity.
• Strong IP frameworks are crucial for AI music protection.

Method

Artists can reclaim unauthorized AI-generated tracks by integrating them into official releases, as demonstrated by Nigerian singer Fave, to maintain ownership and control over their work.

In practice

• Use AI for mixing, mastering, and data-driven marketing.
• Develop AI tools trained on local music to preserve uniqueness.

Topics

• AI in Music Industry
• Intellectual Property Protection
• African Music Markets
• Cape Verde AI Policy
• Music Production Tools

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI (artificial intelligence) | The Guardian.