Nigeria probes Meta AI tool, signaling data sovereignty push
Nigeria's regulator has opened a formal investigation into Meta's new AI image-generation feature, marking a pivotal step in Africa's push to treat user data as a strategic economic asset rather than a free raw material for foreign tech companies.
Nigeria’s Federal Competition and Consumer Protection Commission (FCCPC) has initiated a formal investigation into Meta’s newly launched Muse Image platform. The probe, directed by President Bola Ahmed Tinubu and led by FCCPC Executive Vice Chairman Tunji Bello, centres on the platform's use of public Instagram photographs to generate AI content. The regulatory action follows a petition by the NPO.
The dispute highlights a growing friction between global technology firms and African regulators over who profits from the continent's digital data. While extracting public data may comply with Meta's terms of service, critics argue users do not understand their images are becoming raw material for commercial AI systems. For investors, this signals a rising regulatory risk: if African nations adopt frameworks similar to Australia’s bargaining code or Canada’s Online News Act, Big Tech could face new costs for data that is currently harvested for free.
The financial stakes are substantial. Mobile technologies contributed roughly $240 billion to Africa’s economy in 2025, equivalent to 7.8 per cent of GDP and supporting 13 million jobs, according to GSMA. With 80 per cent of the population now covered by mobile internet, the continent is generating an enormous stream of data. Yet the economic value of that information is largely captured by foreign firms that control the hyperscale cloud infrastructure and foundational AI models.
UNCTAD estimates the global AI market could reach approximately $4.8 trillion by 2033. African policymakers argue that to capture a share of this value, they must treat data governance with the same strategic urgency as mineral rights. This could translate into stricter data portability rules, mandates for local data processing, or demands for equitable data monetisation.
The regulatory push extends beyond privacy into industrial policy. There is mounting pressure to build sovereign cloud environments and high-performance computing infrastructure to stop the export of raw data. Regional bodies like the AU and AfCFTA are being urged to coordinate investments in indigenous AI models, particularly since over 2,000 African languages remain excluded from current global systems, limiting the commercial viability of foreign AI tools in local markets.
