By Muturi Githae<\/em><\/p>\n\n\n\n A data centre is not normally sold as an energy story. In Kenya it increasingly has to be.<\/p>\n\n\n\n When Kenya and Abu Dhabi’s G42 announced plans in 2024 for a 1GW data centre powered by geothermal energy, the attraction was obvious. Kenya had something most African countries struggle to secure: abundant, relatively cheap renewable electricity. The proposed facility was to begin at 100MW and expand over time. Amos Siwoi, chief executive of EcoCloud, said that geothermal power would allow Kenya to meet regional data demand while \u201csetting a new standard for eco-friendly infrastructure\u201d. <\/p>\n\n\n\n The sales pitch is becoming more powerful.<\/p>\n\n\n\n Artificial intelligence has made electricity an IT procurement issue. A company buying cloud capacity increasingly has to ask not only where its data are stored, but what powers the machines doing the computation. That changes the marketing proposition for African data-centre operators. Clean electricity is no longer merely a corporate virtue. It can be an asset to sell.<\/p>\n\n\n\n Kenya is unusually well placed.<\/p>\n\n\n\n More than 90% of its electricity generation comes from renewable sources, according to industry data, with geothermal power providing a dependable base alongside hydro, wind and solar. That gives the country a rather unusual proposition for an AI market: digital infrastructure connected to a relatively low-carbon electricity system.<\/p>\n\n\n\n But the arithmetic is becoming less comfortable.<\/p>\n\n\n\n AI consumes prodigious quantities of power. Data centres require electricity not only for processors but for cooling, storage and the infrastructure that keeps everything running when the grid misbehaves. Jean-Pascal Tricoire, chairman of Schneider Electric, put the problem plainly during a visit to Nairobi in May: \u201cWe need more data centres in Africa to support local innovations. But we must have more energy because AI runs on data centres, which consume a lot of power.\u201d <\/p>\n\n\n\n That \u201cbut\u201d is doing important work.<\/p>\n\n\n\n Africa wants the data centres. It does not yet have enough electricity, transmission capacity or reliable infrastructure to support them at scale. The International Monetary Fund estimates that AI could raise sub-Saharan Africa’s economic output by as much as 4% over the next decade, but only if countries improve electricity, connectivity and digital skills. Without those improvements, the gain could be as little as 0.2%. <\/p>\n\n\n\n Power, rather than algorithms, may therefore determine who gets to participate in the AI economy.<\/p>\n\n\n\n Kenya’s renewable advantage could become a competitive weapon. It could also become a bottleneck.<\/p>\n\n\n\n The problem is intermittency. Kenya Power warned this month that the rapid integration of wind and solar is beginning to affect grid stability and reliability. Renewable generation is clean, but a grid still has to deliver electricity when the sun is not shining and the wind is not blowing. AI workloads, unlike some factories, are not particularly sympathetic to the weather. <\/p>\n\n\n\n Storage becomes important.<\/p>\n\n\n\n KenGen commissioned a 1.16MWh battery energy-storage system in 2025 to support its modular data centre in Nairobi. The system was designed to provide uninterrupted renewable power and forms part of the company’s plan to install 500MWh of storage capacity over the next decade. <\/p>\n\n\n\n This is where the green claim becomes more than marketing copy.<\/p>\n\n\n\n A data-centre operator able to demonstrate reliable renewable power can offer something global cloud companies increasingly value: lower emissions without sacrificing uptime. That distinction matters because AI customers are not necessarily buying computing for altruistic reasons. They want performance, resilience and predictable costs. Carbon credentials come after those. Sometimes much after.<\/p>\n\n\n\n The clever African operator will sell all four.<\/p>\n\n\n\n Olkaria EcoCloud, for instance, plans to use geothermal and solar power and says its cooling system will use water from Lake Naivasha and harvested rainwater. Its proposition is not simply that the facility is green. It is that renewable energy can provide reliable mission-critical infrastructure. <\/p>\n\n\n\n That is a more credible pitch.<\/p>\n\n\n\n There is also a geopolitical angle. Companies seeking to place AI infrastructure close to African customers will care about energy security, connectivity and sovereignty. Kenya’s location, fibre links and renewable electricity make it a plausible regional hub for cloud and AI services.<\/p>\n\n\n\n Yet the country has already discovered the limits of enthusiasm.<\/p>\n\n\n\n President William Ruto, discussing the proposed large-scale Microsoft-G42 data-centre project, said: \u201cTo switch on that one data centre, we would need to shut off power for half the country. That\u2019s when I knew there was a problem.\u201d <\/p>\n\n\n\n The remark is more revealing than any technology conference presentation.<\/p>\n\n\n\n A hyperscale data centre cannot be treated as another industrial customer. Its electricity demand can be enormous. If the grid has to choose between powering AI infrastructure and keeping households and factories supplied, the politics will become unpleasant rather quickly.<\/p>\n\n\n\n Africa therefore faces a peculiar AI conundrum. It needs more computing to raise productivity, yet the computing itself demands infrastructure that many countries have not built. Renewable energy helps, but renewable generation without transmission, storage and dependable grid management is not enough.<\/p>\n\n\n\n The opportunity is to build the two together.<\/p>\n\n\n\n Geothermal plants near data centres. Solar backed by batteries. Dedicated power-purchase agreements. Efficient cooling. More local generation. Better transmission. Perhaps nuclear power in countries where the economics and institutions permit it. The point is not to pick one technology. It is to stop treating energy and digital infrastructure as separate investment categories.<\/p>\n\n\n\n They are becoming the same project.<\/p>\n\n\n\n That could create an African advantage.<\/p>\n\n\n\n Much of the developed world is trying to decarbonise an electricity system that was built around coal and gas. African countries have the less enviable problem of needing to build much more electricity in the first place. That is painful, but it offers a chance to avoid locking new digital infrastructure into high-carbon power.<\/p>\n\n\n\n The prize is bigger than data centres.<\/p>\n\n\n\n Cheap, reliable clean electricity can support manufacturing, electric transport, telecommunications and industrial computing. AI may simply be the customer arriving first and demanding the most.<\/p>\n\n\n\n Investors should pay attention to that distinction. The fashionable question is which African company will build the continent’s next great AI model. The more consequential one may be which country can supply the electricity to run it.<\/p>\n\n\n\n The marketing advantage, then, is not really green branding.<\/p>\n\n\n\n It is infrastructure.<\/p>\n\n\n\n A data centre powered by renewable electricity can advertise lower-carbon computing. A country with abundant clean power can advertise something more valuable still: the ability to keep the machines running.<\/p>\n\n\n\n In an industry obsessed with intelligence, that may prove the smarter proposition.<\/p>\n","protected":false},"excerpt":{"rendered":" The greenest AI may also be the cheapest one By Muturi Githae A data centre is not normally sold as an energy story. In Kenya it increasingly has […]<\/p>\n","protected":false},"author":1,"featured_media":4857,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[178,186],"tags":[],"ledger_sector":[],"class_list":["post-4856","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-digital","category-reputation-purpose"],"_links":{"self":[{"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/posts\/4856","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4856"}],"version-history":[{"count":1,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/posts\/4856\/revisions"}],"predecessor-version":[{"id":4858,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/posts\/4856\/revisions\/4858"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=\/wp\/v2\/media\/4857"}],"wp:attachment":[{"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4856"},{"taxonomy":"ledger_sector","embeddable":true,"href":"https:\/\/theledgerafrica.media\/index.php?rest_route=%2Fwp%2Fv2%2Fledger_sector&post=4856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}