Artificial intelligence has fundamentally reshaped Africa's economic landscape by giving rise to an entirely new infrastructure economy, according to the Chief Executive Officer of Inlaks, a leading technology solutions provider on the continent. Speaking at the Africa Tech Summit in Lagos, the CEO detailed how AI-driven demand is catalyzing massive investments in data centers, cloud computing, and connectivity networks.
AI as the Backbone of Digital Infrastructure
The CEO explained that AI is no longer an emerging technology but a core driver of infrastructure development. 'AI is not just a tool; it is the backbone of a new digital economy,' he stated. He noted that the proliferation of AI applications—from generative models to predictive analytics—requires immense computational power, which in turn necessitates robust physical and virtual infrastructure.
According to industry reports cited by the CEO, investments in AI-related infrastructure across Africa reached $2.5 billion in 2025, a 40% increase from the previous year. This includes spending on hyperscale data centers, edge computing nodes, and fiber optic expansion. The CEO emphasized that this trend is not limited to tech hubs like Nigeria, Kenya, and South Africa, but is spreading to emerging markets across the continent.
Data Centers: The New Power Plants
Comparing data centers to power plants of the industrial age, the CEO described them as the critical assets of the AI era. He highlighted that Inlabs has partnered with global cloud providers to deploy energy-efficient data centers in West Africa, reducing latency for local businesses. 'Every AI model training or inference request depends on reliable data center infrastructure. We are seeing a land rush for data center real estate,' he added.
The CEO also pointed to the ripple effects on energy and cooling technologies. As data centers consume significant electricity, investments in renewable energy and liquid cooling systems have surged. He reported that several African nations are now revising their energy policies to attract data center investments, recognizing them as catalysts for broader economic growth.
Cloud and Edge Computing Expansion
Beyond data centers, the AI-driven infrastructure economy encompasses cloud services and edge computing. The CEO noted that public cloud adoption in Africa grew by 35% in 2025, driven largely by AI workloads. Major cloud providers have opened local regions in South Africa, Nigeria, and Kenya, bringing services closer to end users.
Edge computing, which processes data near the source rather than in centralized data centers, is also expanding rapidly. The CEO cited examples in agriculture and healthcare, where AI models running on edge devices analyze crop health or patient diagnostics in real-time, reducing reliance on distant servers. This has spurred investments in small-scale edge facilities and IoT networks.
Workforce and Skills Development
The new infrastructure economy is also reshaping the job market. The CEO emphasized that AI infrastructure requires a workforce skilled in data center management, network engineering, and AI operations. Inlaks has launched training programs to address this skills gap, partnering with universities to certify over 5,000 professionals in the past year. 'We are building the human infrastructure to match the physical infrastructure,' he said.
However, challenges remain. The CEO warned that without sustained investment in power and broadband, the AI infrastructure economy could exacerbate digital divides. He called for public-private partnerships to ensure equitable access, particularly in rural areas. 'Infrastructure is only valuable if it serves all citizens, not just urban tech hubs,' he concluded.
Economic and Policy Implications
The emergence of AI infrastructure as a distinct economic sector has caught the attention of policymakers. The CEO urged African governments to create favorable regulatory frameworks for data centers and cloud services, including tax incentives and streamlined permits. He also stressed the importance of data sovereignty and security laws that facilitate cross-border data flows while protecting citizens' privacy.
Looking ahead, the CEO predicted that the AI infrastructure economy in Africa could triple in size by 2030, reaching $7.5 billion. This growth would be driven by increasing adoption of AI in finance, logistics, and government services. 'Africa has a unique opportunity to leapfrog traditional infrastructure and build a smart, AI-native foundation for the future,' he said.
