At the Africa Forward Summit in Nairobi, Kenya, on May 12, artificial intelligence (AI) emerged as a central theme alongside energy, agriculture, and international finance, marking a pivotal shift in focus for African leaders.
Historically, AI discussions in Africa revolved around ethics, digital literacy, and startup incubation. Today, governments are engaging with complex topics such as cloud infrastructure, sovereign data, regional computing capacity, and local language models—areas once dominated by engineers and Silicon Valley executives.
Over the past two years, several African countries have advanced AI policy frameworks: Kenya launched its National Artificial Intelligence Strategy; Nigeria introduced its own National AI Strategy; Rwanda established a Centre for the Fourth Industrial Revolution to oversee AI governance; and South Africa is progressing with its national AI policy. The African Union also adopted a Continental AI Strategy promoting African ownership of data and computing infrastructure.
This evolution reflects a growing recognition of AI as a geopolitical asset. Just as nations have historically competed for natural resources, they now compete for semiconductors, data centers, and computing power.
Despite Africa’s wealth in minerals vital for modern computing and its generation of vast digital data through mobile money, e-commerce, and government digitization, much of the infrastructure needed to transform these assets into economic value remains outside the continent.
This dependency is addressed in Section 6 of the Africa Forward Declaration, signed by 30 heads of state, which calls for investments in data centers, cloud computing, trusted data systems, broadband infrastructure, and African-led ownership of data and AI systems.
The declaration highlights that “Digital transformation and artificial intelligence are reshaping economies, public services, knowledge systems, security, creative industries, and global competitiveness,” underscoring Africa’s need to invest comprehensively across the digital and AI landscape.
Although Africa represents nearly 20% of the global population and hosts some of the fastest-growing internet markets, it currently commands less than 1% of the world’s data center capacity.
Mobile data consumption in Africa is growing at approximately 40% annually almost twice the global rate, yet the continent’s infrastructure to process and store this data remains critically insufficient.
A decade ago, African startups could build globally competitive products with rented cloud services and limited computing resources. However, the rise of generative AI has transformed the economic equation, demanding substantial investments in thousands of Graphics Processing Units (GPUs), advanced cooling systems, and stable electricity supplies.
Government investment in AI infrastructure across Africa remains limited, with most funding sourced from the private sector and development finance institutions (DFIs). In April, the International Finance Corporation committed $100 million to Raxio Group, a regional data center operator, marking its largest investment in African digital infrastructure.
Additionally, Cassava Technologies, founded by Zimbabwean telecom billionaire Strive Masiyiwa, announced plans in July 2025 for a $700 million investment to deploy Nvidia-powered AI infrastructure across Africa, aiming to become one of the continent’s first large-scale AI compute providers.
In 2024, Microsoft and Abu Dhabi-based AI firm G42 unveiled a $1 billion AI data center project in Kenya, powered by geothermal energy; however, the initiative has been paused due to stalled negotiations over electricity supply and financing.
These challenges highlight the critical need for resilient infrastructure to support computing power, prompting policymakers to view AI as an infrastructure challenge as much as a technological one. The Nairobi Declaration embodies this shift, placing AI investment at the heart of Africa’s economic strategy.
African leaders committed to mobilizing public and private investments in robust digital and AI infrastructure, including broadband connectivity, regional data centers, cloud and compute capacity, clean energy, and trusted data systems.
This shift extends beyond data centers. Over the past decade, Africa’s digital growth was defined by smartphone adoption, fintech expansion, and startup ecosystems in hubs like Lagos, Nairobi, and Cape Town. AI is now redefining that narrative.
The focus is moving from consumer applications to the foundational infrastructure that supports them. This global trend parallels developments in the U.S., where AI leadership is increasingly tied to national security, with accelerated government investments in AI infrastructure amid strategic competition with China.
Similarly, Gulf states are heavily investing in hyperscale data centers and semiconductor partnerships, while Europe frames AI within the context of technological sovereignty rather than mere innovation policy.
Africa is beginning to embrace a comparable outlook, with the Nairobi Declaration emphasizing digital sovereignty, African ownership of data, and the cultivation of local AI ecosystems.
The declaration also advocates for the creation of African language models, locally sourced datasets, and open-weight AI systems, signaling policymakers’ growing awareness that AI is a strategic asset poised to drive future economic growth.
Nonetheless, achieving technological sovereignty entails significant costs that may challenge many African nations. Building a competitive AI ecosystem requires more than skilled engineers; it demands reliable electricity, fiber networks, advanced chips, research capacity, and billions in patient capital. For governments facing fiscal constraints and competing priorities, securing these investments remains difficult.
The declaration’s call for co-investment between African and French institutions suggests that Africa may need international partnerships to develop sovereign AI infrastructure, given the scale of resources required.
Consequently, governments appear to be pursuing a hybrid approach seeking foreign capital while striving to maintain control over data, computing capacity, and intellectual property. Whether this balance can be successfully achieved remains to be seen.
Source link documentation originally provided by African Tech.
