African Leaders Urge Accelerated Investment in Local AI I...

African nations are facing a critical juncture in the global artificial intelligence (AI) revolution, with a growing consensus among leaders and industry experts that urgent investment in local AI infrastructure and computing capacity is essential to secure the continent's digital future. Warnings have emerged from various forums, emphasizing that without homegrown capabilities, Africa risks becoming a mere consumer of AI technologies developed elsewhere, potentially hindering its economic growth and digital sovereignty.

A recent statement from the Technology Information Confederation Africa (TICON Africa) highlighted the precarious position, cautioning that Africa could be locked out of the AI economy if it fails to develop its own data centers and computing resources. The organization pointed to recent volatility in global AI and data center stocks as a stark reminder of the risks associated with over-reliance on foreign infrastructure.

Hardy Pemhiwa, CEO of Cassava Technologies, echoed these concerns, stating that Africa risks missing out on AI's transformative economic impact unless it builds its own digital infrastructure. Despite a combined GDP of approximately $3.5 trillion, the continent currently hosts only about 1% of global data centers, routing much of its digital traffic through Europe. This disparity raises the specter of Africa exporting raw data, only to import expensive finished AI products.

The urgency of this situation is further underscored by projections indicating a significant gap between demand and supply. A 2025 report by Access Partnership estimated that by 2030, sub-Saharan Africa could face a 98% deficit in AI computing capacity. This structural shortfall is not only due to the explosion of mobile internet use and fintech adoption but also the increasing demand from governments building digital public services and identity systems that require secure, locally hosted cloud infrastructure.

In response to these challenges, African governments are beginning to articulate clear strategies for digital independence. Ethiopia's State Minister of Innovation and Technology, Solomon Soka, recently declared that African nations must prioritize developing sovereign AI infrastructure, algorithms, and computing centers, asserting that digital independence cannot be built on 'rented infrastructure'. Ethiopia's Digital Ethiopia 2030 Strategy aims to host approximately 600 petabytes of national data domestically by the end of the decade.

Similarly, the recent Cairo International Exhibition and Conference for Information and Communications Technology (CAIRO ICT 2026) saw Egyptian Prime Minister Moustafa Madbouli inaugurate discussions focused on expanding AI and digital infrastructure. Co-organized with the Arab Information and Communication Technologies Organization (AICTO) and the Smart Africa alliance, the event emphasized joint sovereign computing capacity, localized data center expansion, and harmonized data governance to reduce technological dependency across Arab and African emerging markets.

The Sixth International Conference on Artificial Intelligence and Robotics also convened experts who called for increased investment in homegrown AI solutions, digital infrastructure, and local research capacity. Participants at the conference expressed significant concern over Africa's continued dependence on foreign-developed technologies and platforms, particularly regarding the storage, processing, and commercial utilization of data generated within the continent.

While the need for local infrastructure is clear, the path forward involves significant investment. The African data center market attracted $3.64 billion in investment in 2025 and is projected to reach $8.76 billion by 2031, yet analysts estimate an additional $6 billion is needed by 2030 to close the existing supply gap. External support, such as the UAE's $1 billion 'AI for Development' initiative across Africa, aims to provide access to computing power and technical expertise, highlighting the collaborative efforts required.

Local entrepreneurs are also stepping up to address the infrastructure deficit. Alexander Tsado, founder of Udu Technologies, left a career at NVIDIA to make AI computing power more accessible in six African countries. His company aims to bridge Africa's investment lag compared to other regions by offering flexible and affordable cloud GPU access to startups and institutions.

However, the rapid expansion of data centers also brings its own set of challenges. In South Africa, which boasts over 60 data centers—the most on the continent—civil society groups have called for a halt on new constructions. Their concerns revolve around the significant water and power consumption of these facilities in a country where many communities still lack basic access to these resources, underscoring the need for sustainable and equitable development strategies.

Ultimately, Africa's ability to meaningfully participate in the global AI economy hinges on its capacity to develop and control the foundational infrastructure. This includes not only physical data centers and computing power but also robust data governance frameworks, skilled human capital, and policies that foster indigenous innovation. The collective calls from various stakeholders signal a determined push towards a digitally sovereign and economically empowered Africa in the age of AI.