The AI Race in Africa: A Continent at the Crossroads of Global Tech Power Struggles
As artificial intelligence (AI) reshapes economies, governance, and daily life worldwide, Africa stands at a pivotal moment—one where the continent’s digital future is being negotiated behind closed doors. While governments across the continent rush to develop AI strategies, attract foreign investment, and expand digital infrastructure, a deeper question lingers: Who will ultimately control Africa’s AI infrastructure, and at what cost?
The answer hinges on a delicate balance between economic opportunity, geopolitical leverage, and the risk of deepening technological dependence. With major tech firms, cloud providers, and global powers vying for dominance, African nations must navigate a landscape where data sovereignty, energy constraints, and long-term strategic interests collide.
The Scramble for AI Control: From Ambition to Reality
In April 2024, African Union ministers convened in Tangier, Morocco, to discuss AI—a technology now framed as both a tool for development and a battleground for influence. While nations like Nigeria, Kenya, Egypt, and Ghana have rolled out national AI strategies emphasizing local capacity-building and reduced reliance on foreign tech giants, the reality is far more complex.
Ghana’s AI strategy, for instance, explicitly labels AI as a “sovereign capability”—a bold declaration that underscores the continent’s push for digital self-determination. Yet, the Africa Declaration on Artificial Intelligence, endorsed by 49 countries and the African Union, reveals a broader tension: how to secure investment while retaining control over the very infrastructure that powers AI.
The challenge is evident in South Africa, where a draft AI policy was withdrawn earlier this year after officials discovered AI-generated content in its references—a glaring example of how rapidly evolving technology outpaces regulatory frameworks. This incident highlights a fundamental dilemma: Can African governments effectively govern AI when the tools themselves are often designed and controlled by external actors?
The Geopolitical Chessboard: Who Wins the AI Game?
The competition for AI dominance is no longer confined to Silicon Valley or Beijing—it has spilled into Africa’s digital landscape. Global tech firms, cloud providers, and nation-states are locked in a high-stakes race for data, computing power, and market access. For African countries, this fragmentation could be both a blessing and a curse.
Priyal Singh, a geopolitical analyst at Signal Risk, argues that Africa’s fragmented digital infrastructure—combined with the contested nature of the AI industry—gives the continent unprecedented leverage in negotiations.
“African states will indeed be provided with greater room for manoeuvre on AI and data infrastructure, precisely because this industry is so fragmented among global leaders,” Singh told Al Jazeera. “Major tech companies will need to accommodate local concerns far more than they would in other regions.”
This assertion is already playing out in real-time. Starlink’s expansion in Africa, for example, has sparked regulatory pushback from governments wary of monopolistic control over connectivity. If Starlink’s model—where a single foreign entity dominates infrastructure—is applied to AI, African nations risk repeating the mistakes of colonial-era resource exploitation, but this time with data and computational power instead of raw materials.
Yet, the leverage isn’t just political—it’s infrastructural.
The Energy and Resource Burden: Africa’s Underdeveloped Digital Backbone
Africa’s digital infrastructure remains woefully inadequate compared to its global counterparts. Industry estimates suggest the continent accounts for less than 1% of global data centre capacity, despite housing 18% of the world’s population. For context, France alone has more data centre capacity than the combined five largest African markets—Kenya, Nigeria, South Africa, Egypt, and Morocco.
This disparity isn’t just a matter of scale—it’s a structural constraint. Unreliable electricity supplies, high operational costs, and limited fiber-optic connectivity make it prohibitively expensive to host large-scale AI and cloud infrastructure. As a result, foreign investors—particularly those from the U.S., China, and the Gulf—are positioning themselves as the primary builders of Africa’s digital future.
One of the most high-profile and contentious examples is the $1 billion Microsoft-G42 data centre project in Kenya. When Kenyan President William Ruto raised concerns about the project’s energy demands, he wasn’t just voicing skepticism—he was highlighting a fundamental truth: Large-scale AI infrastructure requires massive power inputs, often far exceeding local grid capacities.
Reports indicate that negotiations between Kenyan officials and the consortium have centered on not just investment terms but also long-term energy commitments. If the project proceeds as planned, Kenya would effectively outsource its computational sovereignty to a foreign entity—one that could control critical data processing while extracting economic and strategic benefits in return.
This dynamic raises critical questions:
– Who will own the data generated in these centres?
– Will African governments have the right to regulate or audit AI algorithms?
– What happens if a foreign provider suddenly withdraws support?
These are not hypothetical scenarios—they are real risks in an era where AI infrastructure is increasingly treated as a strategic asset by global powers.
Beyond Western Tech: The Illusion of Diversification
While African leaders often frame their AI strategies as a shift away from Western dominance, the reality is more nuanced. Sanusha Naidu, a senior research fellow at the Institute for Global Dialogue, warns that diversification is rarely as simple as it seems.
“Whether it’s moving from Western tech companies to Chinese firms or Gulf-based entities, the calculus remains the same: what does Africa get in return?” Naidu explained.
She draws parallels to historical foreign investments, such as the 1990s textile industry boom, where subsidies and exploitative labor practices left African economies dependent on foreign capital. Data centres and AI infrastructure present similar risks—not just in terms of economic exploitation but also in environmental and social costs.
Water consumption, energy demand, and digital waste are often downplayed in corporate pitches, yet they have real-world consequences. A single large data centre can consume millions of liters of water daily—a luxury few African nations can afford. E-waste from AI hardware also poses environmental and health hazards, particularly in urban centers where recycling infrastructure is weak.
Naidu argues that African policymakers must demand more than just investment—they must secure meaningful developmental returns from these partnerships. This could include:
– Local job creation in AI development and maintenance.
– Data localization laws ensuring sensitive information stays within national borders.
– Energy subsidies or renewable energy commitments** to offset environmental costs.
Without these safeguards, Africa risks repeating the cycle of dependency—this time in the digital age.
The Digital Sovereignty Debate: Who Controls the Future?
The push for digital sovereignty in Africa is not just about owning AI infrastructure—it’s about controlling the narrative of development. From cloud computing platforms to surveillance systems and smart cities, African governments are increasingly adopting foreign-built digital tools. Yet, debates over data governance, digital rights, and where critical information should be processed are gaining urgency.
This tension is mirrored in proposals for an Africa Credit Rating Agency (ACRA), which aims to reduce reliance on Western-dominated agencies like Moody’s and Standard & Poor’s. If successful, such an agency could reclaim financial sovereignty—a principle that, if extended to AI, could reshape how the continent engages with global tech powers.
However, public awareness remains a major hurdle. Joseph Asunka, CEO of Afrobarometer, emphasizes that AI governance discussions are still elite-driven, with little citizen engagement.
“These negotiations should not just be conducted at the elite level and dumped on citizens,” Asunka stated. “If people don’t trust their governments in this space, it creates a trust gap—one that could stifle adoption of fintech, e-commerce, and digital governance tools.”
This is a critical oversight. Without public buy-in, AI initiatives risk backlash, resistance, and even backtracking—as seen in past digital identity projects where privacy concerns led to widespread distrust.
The Path Forward: Building Local Capacity in a Globalized AI World
Africa is unlikely to achieve full AI self-sufficiency—at least not in the near term. The continent remains deeply integrated into global tech supply chains, relying on foreign expertise, investment, and partnerships. Yet, the terms of engagement are now under scrutiny.
Efforts like the UN Development Programme’s timbuktoo initiative—which supports African tech ecosystems through innovation funding and digital infrastructure—represent small but significant steps toward local capacity-building. However, these programs pale in comparison to the scale of global AI investment, leaving African nations in a precarious position.
The real question is not whether Africa will use AI, but under what conditions. As governments negotiate new investments, draft regulations, and expand digital infrastructure, the decisions made today will define who controls the technologies shaping economies, public services, and daily life for decades to come.
The risk of inaction is clear: Africa could become a data colony, where foreign entities extract value while local populations bear the environmental, economic, and social costs. Alternatively, with strategic foresight and bold policymaking, the continent could reshape the global AI landscape on its own terms—but only if it demands a seat at the table**.
The race for Africa’s digital future has begun. The question is whether the continent will be a participant—or just another resource.
