The AI Economy Could Exploit African Creativity If Policy Fails
For decades, the global creative economy followed a familiar structure.
Artists, musicians, and writers produced cultural work. Publishers, record labels, and studios controlled distribution. Revenue flowed through licensing deals, royalties, and rights agreements.
That structure is beginning to break down in a new and troubling direction.
Across the world, artificial intelligence companies are training powerful systems on massive datasets scraped from the internet. Those datasets include music, art, literature, and visual culture from every corner of the globe.
Africa’s creative output is deeply embedded in that data.
And almost none of the value being generated is flowing back to the creators who made it.
The New Resource Extraction
There is a pattern to how Africa has historically related to global economic systems.
Wealth is identified. It is extracted. It is processed elsewhere, and the profits are collected by someone else.
For centuries, that wealth was mineral or agricultural. Today, it is cultural.
The global generative AI market was estimated at $22 billion in 2025 and is projected to reach $324 billion by 2033. This industry growing at a pace that few sectors in human history have matched. The companies building these systems include OpenAI, Midjourney, Stability AI and they are training them on enormous internet datasets that include creative work from around the world. These systems do not ask permission. They do not pay licensing fees. They do not distinguish between a corporate press release and a handcrafted novel written by a writer in Accra.
Afrobeats producers post their music online. Nollywood filmmakers distribute content on streaming platforms. African visual artists share work across Instagram and digital galleries. African writers publish across dozens of media platforms.
All of that work is part of the training data powering tools now generating billions in commercial revenue across the world.
The parallel to colonial resource extraction is not rhetorical. It is structural. Value is generated from African creative labor, processed into AI capabilities, and sold on global markets — while the communities that produced that cultural wealth remain outside the value chain entirely.
The Global Policy Response
The rest of the world has not been passive.
A significant body of policy and legal activity has emerged in recent years, largely in markets with powerful creative industries and well-organized advocacy ecosystems.
Several major developments are already shaping the global conversation:
The European Union AI Act requires transparency around training data, establishing that creators must be able to determine whether their work was used to train commercial AI systems
The U.S. Copyright Office is reviewing how existing copyright frameworks apply to AI training and AI-generated content
Lawsuits by artists and authors against AI companies — including from the New York Times, a coalition of visual artists, and Getty Images — are actively shaping legal interpretation and policy debates
These responses reflect serious institutional engagement with the challenge.
Africa, however, is largely absent from these conversations.
There are no equivalent lawsuits from African creators. No African government has enacted comprehensive AI legislation addressing training data rights. The regulatory frameworks being built elsewhere are being built without African voices at the table.
Why African Creators Are Especially Vulnerable
Several factors make this moment particularly dangerous for African creative industries.
Weak IP enforcement systems
Copyright law exists across most African jurisdictions, but the gap between legal text and practical enforcement is significant. Cross-border action against technology companies headquartered in the United States or Europe is extremely difficult.
Limited creator advocacy infrastructure
In the United States and Europe, powerful trade organizations have the institutional capacity and legal resources to pursue AI companies. African creative industries have some equivalent structures, but they are less resourced and less embedded in policy processes.
Jurisdictional asymmetry
The companies training AI systems on African creative work are almost entirely headquartered in the United States. An African creator whose work was used without consent has no straightforward legal recourse in an African court.
Rapidly growing global visibility
Afrobeats global listenership grew 22 percent in 2025. In Nigeria, Africa’s largest music market, local music consumption shot up 82 percent over the previous year. Sub-Saharan Africa led global music revenue expansion in 2023, recording a remarkable 24.7 percent increase driven primarily by streaming services. Nollywood is the world’s second-largest film industry by volume. African digital art, literature, and fashion are reaching international audiences at scale.
That growing visibility means African creative work is more widely distributed across the internet than ever before — and therefore more thoroughly represented in AI training datasets.
The cultural reach that African creators have spent decades building is, paradoxically, increasing their exposure to extraction.
The Economic Stakes
The numbers are significant — and growing fast.
Africa’s creative economy is currently valued at roughly $60 billion, and analysts say it could capture up to $200 billion in global creative exports by 2030 with the right investment and structural reform. By that same year, the continent is projected to create more than 20 million work opportunities through its creative industries alone.
At the sector level, the picture is equally striking. Nigeria’s entertainment sector, already valued at $9 billion in 2023, is projected to reach $13.6 billion by 2028. Nollywood currently earns $590 million annually, while Africa’s gaming industry reached $1 billion in 2024 and is projected to grow to $3.7 billion by 2030.
Against that backdrop, consider what it means for AI systems to generate value from African cultural data without compensation flowing back to creators.
The harm operates on two levels.
First, there is the direct displacement of revenue. When an AI music tool trained partly on Afrobeats produces tracks that commercial clients use in advertising, it competes with the musicians whose work informed the system — without paying licensing fees. When an AI image generator trained on African visual art produces brand imagery, it displaces commissions that might otherwise have gone to the artists whose aesthetic sensibility shaped the output.
Second, there is the longer-term structural risk. AI systems trained on datasets with limited African representation will reflect those imbalances in their outputs. The systems increasingly mediating global cultural production may embed distortions that shape how African culture is perceived and valued internationally.
The global creative economy pulls in $2.3 trillion annually, equivalent to 3.1 percent of global GDP, and employs about 6.2 percent of the world’s workforce. Africa’s share of that value is still well below its cultural contribution to the global internet. If licensing frameworks are not established now, the gap between what African creators contribute and what they receive may never close.
What Policy Could Look Like
The challenge is real. But it is not without solutions.
African governments and regional institutions could explore several concrete policy directions:
Mandatory disclosure of AI training datasets, so creators can establish whether their work was used and by whom
Licensing frameworks for creative datasets, requiring that AI training on African creative work involves either consent or compensation
Creator royalty pools for AI-generated outputs, modeled on collective licensing schemes already operating in the music industry
Digital watermarking and provenance tracking, embedding authorship metadata in creative works so the chain of custody between human creators and AI systems becomes traceable and enforceable
None of these policies would halt AI innovation.
They would establish one condition: that when AI systems generate commercial value from African creative work, the people behind that work receive a share.
That is not an anti-technology position. It is a property rights position.
The Window Is Not Indefinitely Open
By 2030, Africa will have the world’s largest youth population — over 400 million young people entering the workforce. The formal job market cannot absorb them. The creative economy, powered by digital platforms and low entry barriers, is one of the few scalable alternatives.
The AI systems currently being trained on global cultural data will not be retrained once governance frameworks are finally established. The economic arrangements being locked in now — who owns what, who pays whom, how value flows — will be difficult to renegotiate once they become entrenched.
The time to establish African creative rights in the AI economy is before those arrangements solidify, not after.
Africa has watched this pattern before. Resources identified, extracted, and processed elsewhere while the continent that produced them remained on the margins of the resulting wealth.
The AI economy is not inevitably the same story. It is a policy choice — made and remade by human decisions about regulation, enforcement, and the distribution of value from new technology.
The question is not whether African creativity will contribute to the AI economy.
It already does. Whether anyone consented to it or not.
The question is whether African creators, communities, and economies will share in the value that creativity generates — or whether the extraction, this time of culture rather than minerals, will follow the same old pattern to the same old end.
A guest post by
A curious mind exploring the crossroads of creativity and insight.
I have been thinking about this for quite some time on the reason why there is no African AI Act that will oversee the AI activities in Africa when other continental regions are already developed theirs.
Thank you so much for this.