Nigeria is experiencing a significant surge in investment aimed at establishing the country as a leading digital and Artificial Intelligence (AI) hub in Africa, drawing billions of dollars in global investment as the country seeks to build next-generation data centers capable of supporting AI and high-performance computing.
The boom is reshaping the nation’s technology landscape and positioning Nigeria as a contender for digital leadership on the continent. But with the promise comes significant financial and operational pressure, raising questions about whether the country’s infrastructure can keep pace with the accelerating demands of AI.
Nigeria’s cloud computing market is expanding at an estimated annual rate of 26 percent and is projected to grow from $1.03 billion today to $3.28 billion by 2030. The country has attracted nearly $1 billion in investment from global and regional operators building advanced data facilities designed to meet escalating demand from a young, mobile digital population.
The broader data-center sector was valued at roughly $278 million in 2024 and is expected to reach $671 million by 2030, while total power capacity dedicated to these facilities is forecast to increase sixfold to nearly 280 megawatts.
Major operators are spearheading the build-out. Airtel Nigeria is investing $120 million to construct a 38-megawatt hyperscale data center in Lagos’s Eko Atlantic district, designed for high-density AI workloads. Rack Centre is developing a 12-megawatt AI-optimized facility in Lagos, built for high-performance compute and energy-efficient cooling.
In an interview with African Currents, Dr. Krishnan Ranganath, Regional Executive for West Africa at Africa Data Centres, said the surge in investment and growing global interest in Nigeria’s digital infrastructure could elevate the nation into a major technology hub while advancing economic growth and digital sovereignty.
The Hidden Cost of the AI Race
Behind the optimism lies a complex reality: AI-ready data centers require massive power resources, advanced cooling, and low-latency connectivity needs that are challenging and expensive to meet in Nigeria’s hot climate and unstable grid environment.
AI computing loads demand tens of kilowatts of power per rack, far more than traditional server farms. Frequent power outages force operators to invest in hybrid energy systems that combine unreliable grid supply with gas turbines, solar, or diesel engines. According to Schneider Electric, AI workloads consume significantly more energy than conventional computing, intensifying both operational costs and environmental impact.
Cooling poses another costly challenge. Tropical temperatures reduce the efficiency of air-based systems, pushing providers to adopt technologies such as direct-to-chip or liquid-immersion cooling and advanced building-management software.
Connectivity improvements including subsea cables like Equiano and 2Africa and strengthened terrestrial fiber are enabling local processing and lower latency. But industry experts warn that infrastructure alone is insufficient without substantial investment in engineers, cooling specialists, and AI-focused technical talent.
The risk factors are substantial: infrastructure failures could idle expensive GPU farms, unstable energy could erase computing advantages, and without strong domestic capability, Nigeria may remain dependent on foreign cloud providers.
Strategic Bet With High Stakes
Nigeria’s commitment is driven by scale and opportunity: a population exceeding 200 million, a median age around 18, and Africa’s largest tech ecosystem. The country hopes to build computing capacity locally to strengthen digital sovereignty and capture value from emerging AI industries.
Policymakers and industry leaders emphasize that success requires reliable power, skilled talent, smart regulation, and real usage demand. The National Digital Economy Policy and Strategy 2020–2030 aims to support these priorities, focusing on infrastructure expansion, data residency, and technology-driven growth.
Nigeria’s data-center and AI infrastructure build-out represents a pivotal moment for the continent’s digital future, one defined by both promise and risk. If energy systems stabilize, talent pipelines grow, and policy frameworks align, Nigeria could secure a leading role in Africa’s AI economy. If not, the country faces the possibility that its high-cost infrastructure may fall short of its ambitions just as the global AI race accelerates.
