Foreign Investment Shapes Africa's AI Compute Landscape, Study Finds

A new research paper highlights the critical but often overlooked role of compute infrastructure in artificial intelligence development across Africa. It argues that current AI governance discussions frequently treat compute as a technical given, rather than recognizing it as a product of complex investment, ownership, and financial control dynamics. This oversight can lead to an incomplete understanding of how AI capabilities are truly being shaped on the continent.

The study systematically analyzed 46 publicly announced AI-relevant infrastructure projects in Africa, collectively valued at USD $12.7 billion, spanning the years 2019 to 2025. Through a value chain framework, the research mapped the key investors and geographical concentrations of these investments. Findings indicate a highly consolidated landscape, with global data center operators, hyperscale technology firms, and development finance institutions being the primary actors.

These investments are notably concentrated in four key African nations: South Africa, Kenya, Nigeria, and Egypt. The paper introduces the concept of "asymmetrical interdependence" to describe a situation where capital and physical infrastructure account for a significant 73% of total funding, yet control over the crucial compute layer remains largely in the hands of a small number of global technology companies. This imbalance has profound implications for local control and data sovereignty.

Ultimately, the research advocates for a more comprehensive approach to compute governance. It asserts that effective governance must extend beyond mere geographic access to infrastructure, encompassing a deep understanding of capital flows, ownership structures, and control mechanisms. Addressing these dynamics is essential for fostering equitable AI compute development and ensuring that African nations can genuinely participate in and benefit from the AI revolution.