
From Accra, where he writes, Chief Tutu Baffour Asare Brownsy Williams has been following a debate that Ghana's entertainment industry has so far conducted mostly at the level of fear and fashion. Will AI replace actors, composers and crews? Which app can imitate a highlife guitar line? In his view these are the wrong questions, and answering them first has delayed a more serious one: **who owns the infrastructure on which the next generation of African creativity will be made, stored, distributed and paid for?**
A Large Culture, a Small Share
Chief Tutu's argument begins with a gap between cultural influence and economic return. UNESCO-linked estimates put the world's cultural and creative industries at about $2.25 trillion annually, nearly three per cent of global GDP, employing close to 30 million people. Africa's slice is thin. UNDP puts the continent at only around 2.9% of global creative goods exports, about $58.4 billion, and less than 1% of African GDP. A Brookings report from 2025 adds that Africa has around 5% of global cultural and creative jobs (2 million) while generating a much smaller share of the sector's value.
To Chief Tutu, a continent that supplies a disproportionate share of the world's rhythm, fashion vocabulary and storytelling, and captures so little of the revenue, is not a talent problem. It is an ownership problem. AI could make it worse.
The Compute Divide
The new variable is where the machines live. The World Bank's October 2026 Africa Economic Update notes that Africa has nearly 18 percent of the world's population, yet hosts just 0.6 percent of global data center capacity, and holds only about 2 percent of global AI training data. The Africa Data Centres Association puts active capacity at roughly 360MW, with 238MW under construction and 656MW in the pipeline.
The more sobering finding is that the gap may not close. Africa's capacity is expected to triple by 2030, but global capacity is forecast to quadruple over the same period, so Africa's relative share is likely to stay broadly flat. For a creative economy, this means that a Ghanaian studio rendering an animated feature, a producer running generative tools, or a label training a voice model will largely be renting capacity abroad, in foreign currency, on someone else's terms. As one analysis of Nigerian startups put it, compute-intensive work stayed abroad, with egress fees and dollar-denominated cloud bills absorbed locally.
Power is the binding constraint. Industry bodies identify electricity availability and pricing as the principal bottleneck for new facilities. Chief Tutu draws a practical conclusion: entertainment infrastructure in Ghana can no longer be measured only in cinemas and studios. It now includes the grid, fibre, and the servers behind every tool a creator touches.
Ghana's Strategy: Promise and Test
Ghana has made a serious start. President John Dramani Mahama launched the National AI Strategy 2025–2035 on 24 April 2026 in Accra. It is meant to add 500 billion cedis to the economy by 2035. For creatives, one target stands out: one trillion tokens of curated Ghanaian-language data by 2030. Chief Tutu regards this as the most consequential cultural line in the document. If Twi, Ga, Ewe, Dagbani and Fante are well represented in the data that AI systems learn from, Ghanaian stories can be told without being flattened through foreign accents and assumptions. If that data is gathered without consent, compensation or community governance, the strategy becomes a mechanism for extraction.
The strategy also provides for a dedicated Responsible AI Office to oversee implementation. In Chief Tutu's view, its first credible act would be to settle questions that creatives are already asking. Who consents when a voice, a face or a catalogue is used for training? How are royalties calculated when output is machine-assisted? What counts as Ghanaian authorship?
The Industry Beneath the Technology
None of this lands on solid ground. Commentary on the sector in June 2026 observed that, unlike South Africa and Morocco, Ghana lacks a well-resourced national film fund and comprehensive incentive programmes; copyright enforcement remains inconsistent, and most cinemas are concentrated in a few major cities. The same piece noted that the absence of standardized compensation has contributed to talent migration.
Chief Tutu treats this as the most important context of all. AI does not create these weaknesses, but it will magnify them. A sector without functioning licensing, collective management or distribution reach will find that the tools reward whoever already owns the platforms.
The debate inside the industry reflects the tension. The National Film Authority's Kafui Danku has argued the conversation should not be about AI versus Ghanaian creatives, but how to ensure Ghanaian creatives control the tools, tell their own stories, own the intellectual property and benefit financially. Chief Tutu finds that framing sound. He also takes seriously the concern she acknowledged: younger industry players fear the technology could reduce opportunities to work on film sets. In a country with a median age of 21.3 years, young crew and performers are the industry's workforce, and a policy that treats their fear as mere resistance to progress will lose the trust it needs.
What Equity Would Require
Chief Tutu's recommendations are deliberately modest, because he believes the sector is poorly served by grand declarations:
1. **Consent and compensation first.** No Ghanaian creative work should enter a training dataset, local or foreign, without a documented licence and a payment mechanism.
2. **Treat compute as cultural infrastructure.** Public and private investment in local, power-secure computing should include creative-sector access, whether through shared render capacity, subsidised cloud credits or university partnerships.
3. **Fund the unglamorous layer.** A film development fund, working collective rights management and distribution beyond Accra and Kumasi matter more to creators' incomes than any single tool.
4. **Train for adoption, not just awareness.** The World Bank notes that generative AI use among working-age people ranged from 7.2 percent in Rwanda to 23.1 percent in South Africa, with 16 countries below 10 percent. Ghanaian creatives need skills, devices and affordable access to participate on equal terms.
5. **Keep the human credit line.** Audiences and awards bodies should know what is human-made, machine-assisted or synthetic, so that authorship stays legible.
A Reserved Conclusion
Chief Tutu does not predict that AI will destroy or save Ghanaian entertainment. He argues that the outcome will be decided by decisions the industry can still influence: who builds the infrastructure, who writes the licensing terms, and who is paid when culture becomes data. Africa is not short of stories, rhythm or audiences. The test is whether it will own enough of the machinery to be paid for them.



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