AI & Technology

How AI Can Fix Africa’s Unreliable Grids

By Bim Adisa, Founder and CEO, Beacon Power Services

For the past two decades, electrification has been central to Africa’s development agenda. Although nearly 600 million Africans still lack electricity, there have been significant strides, with electrification rising from 26% to 47% between 2000 and 2019. 

However, progress has slowed sharply since 2020. To meet the United Nations’ development goal for electricity access, the African continent now needs to double its electrification pace. 

Electricity access alone is no longer a sufficient benchmark. The more urgent challenge is grid reliability. Across Africa, millions of households and businesses are technically “connected to the grid” but receive power that is erratic, weak, or too expensive to be useful. The result is not only more Africans lacking power but a strong distortion of social and economic life. 

Nowhere is this clearer than in Nigeria, where electricity access reached over 60% in 2023, yet unreliable supply remains a major constraint on firms. Over 22 million petrol and diesel generators serve roughly a quarter of households and nearly a third of MSMEs, providing energy at a much higher cost than grid power. 

Intelligence Gap 

What causes Africa’s unreliable grids? One reason is an intelligence gap: the continent’s grids are often blind. Utilities lack real-time visibility into power flow, where losses occur, or when electrical assets may develop faults. 

A 2025 study in Kenya, for example, found that while existing infrastructure supported “basic monitoring and fault detection,” they were “unable to effectively handle high data velocity, variability, and the integration of renewable energy.” 

This lack of smart electric grids is true in many African markets, leading to a responsive rather than predictive approach. Faults are identified after outages instead of before. Revenue is lost as a result of inefficiencies hidden in fragmented, analog systems. In this context, building more generation capacity or extending transmission lines, while necessary, will not be sufficient alone. 

Energy Unreliability 

The costs of unreliable national grids are enormous. Some businesses in Sub-Saharan Africa report losses of 31% due to frequent outages, with the average exceeding 5%. On a macro level, energy unreliability is believed to reduce Africa’s GDP by more than 2%. 

This is where artificial intelligence can fundamentally shift the equation. At Beacon Power Services, we have built an AI-enabled platform, Adora, that can analyze over a billion grid data points daily. This offers utilities something they have historically lacked: real-time situational awareness. 

With this visibility, grids become manageable systems rather than opaque ones. AI can map network infrastructure in granular detail, track asset performance, and monitor consumption patterns at the level of individual customer nodes. The impact is immediate. Utilities using such platforms have reduced technical losses by as much as 25%, a significant gain in cases where lost power directly translates into lost revenue and a less reliable service. 

Reactive to Predictive 

The use of AI technology also enables a shift from reactive to predictive operations. Through predictive maintenance, algorithms can detect patterns that signal impending equipment failure, such as a transformer overheating or a line approaching overload, and trigger intervention before outages occur. In situations where even short disruptions can cripple businesses, this kind of foresight is transformative. 

Using AI to improve grid reliability also has an essential environmental dimension. Africa’s reliance on diesel generators is not only costly — Nigerian households alone spend $14bn annually powering small petrol and diesel generators — but also polluting. By optimizing grid performance and reducing outages, AI can reduce the need for backup generation. More reliable grids imply fewer incentives for households and businesses to invest in self-generation, lowering emissions and energy costs. 

Investing in AI 

For policymakers and investors, the implication is clear: AI and digital infrastructure must be core components of the energy sector. Investing in data systems, analytics platforms, and AI capabilities is vital to delivering faster, more cost-effective service improvements. 

While the continent has made huge progress expanding electricity access, the next challenge is performance. A grid that delivers power only half the time is not a platform for industrialization: it constrains it and greater economic growth. 

Artificial intelligence will not solve Africa’s energy challenges on its own. But by making grids visible, predictable, and optimizable, it can turn unreliable systems into reliable ones, and in doing so, help unleash Africa’s economic potential. 

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