Africa’s AI Ambitions Face Critical Infrastructure Questions  - Wire Nigeria

Africa’s AI Ambitions Face Critical Infrastructure Questions 

25 May 2026

As artificial intelligence (AI) investment accelerates globally, Africa is increasingly...

Africa’s AI Ambitions Face Critical Infrastructure Questions 

As artificial intelligence (AI) investment accelerates globally, Africa is increasingly being viewed as the industry’s next major growth frontier. But according to Steven Santini, Vice President for Secure Power, SSA at Schneider Electric, the continent’s AI ambitions will ultimately depend on its ability to solve one critical challenge: infrastructure readiness.

Speaking at this year’s IDC CIO Summit 2026,  a premier gathering for technology decision makers, held at the Sandton Convention Centre in Johannesburg, Santini said global AI players are already looking toward Africa as a strategic investment destination.

“The question becomes: is Africa ready? Global AI players increasingly view Africa as the next frontier, the new gold rush, in many respects. We have the land, the resources, and the growth potential. As many have already seen, data centres are being developed across Kenya, Nigeria, South Africa, and other regions where investment is welcomed.”

However, while momentum around AI infrastructure is rapidly building, Santini cautioned that the continent faces significant barriers that could slow adoption if not addressed strategically.

“Power remains the number one challenge for AI, particularly AI data centres. To put this into perspective, some of the projects we are involved with in the Middle East have power requirements comparable to entire cities.”

Focus on smaller infrastructure too

He further added that Africa’s infrastructure conversation cannot focus solely on hyperscale facilities. Instead, organisations should rethink how AI is deployed and where it delivers the greatest operational value.

“When people hear ‘AI’, they often picture massive hyperscale data centres. But AI exists in many different forms. Your laptop can run AI workloads. A small ten-node server cluster deployed at an industrial site can support AI applications. AI does not always require enormous, high-density centralised environments.”

Santini believes this shift is particularly relevant for Africa...

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