Africa is building the cloud. The question no one is asking is what it will cost, and who will pay. As governments from Algiers to Nairobi race to construct data centres, launch AI strategies, and attract hyperscale investment, the environmental, social, and fiscal consequences of that expansion remain largely unexamined. This is not a question about whether digital development matters. It does. It is a question about who gets to define what development means, and whether accountability can keep pace with ambition.
In late 2024, Algeria inaugurated a high-performance data centre, presenting it as a cornerstone of national development. Officials described the facility as a strategic infrastructure designed to address domestic shortages in computing capacity. Around the same time, state-owned Telecom Egypt sold a major Cairo data centrecampus to Helios Investment Partners, a move framed as part of the country’s digital modernisation agenda. Together, these developments point to a broader regional push. Across the Middle East and Africa, governments are rapidly expanding data centres as instruments of state strategy.
What is striking is not the pace of this expansion, but how narrowly it is framed. These facilities are discussed almost exclusively as engines of innovation and growth, even though they are also energy-intensive, water-dependent, and land-consuming physical assets. Digital development across much of the region is advancing through state-led strategies with limited public debate about how environmental, social, and fiscal burdens are distributed or how these trade-offs are weighed against other national priorities.
These framing matters because artificial intelligence has moved beyond experimentation to become a formal policy priority. In Algeria, government-led conferences focus on embedding new technologies into public administration, research, and economic planning. Algérie Télécom’s creation of a fund supporting startups in cybersecurity and robotics reflects the same orientation. National initiatives position artificial intelligence as a pillar of public-sector capacity-building, reinforced by projections that it could contribute up to 7% of GDP by 2027.
Similar approachesare unfolding across the region: private companies attract capital and create jobs, but public utilities and citizens often pick up the tab for grid upgrades and fuel.
The U.S. experience highlights what is often missing. There, the local impacts of large computing facilities have moved from technical assessments into public politics. Research from the University of Michiganshows that artificial intelligence data centres increase electricity demand, raise utility rates, and consume millions of gallons of water annually.
These effects have not gone unnoticed. In South Dakota, local opposition prompted state legislators to introduce a sweeping Data Center Citizens’ Rights Bill, seeking mandatory environmental disclosures, public hearings, and community consent before new construction. In Georgia, backlash over noise, land use, and grid pressure has fueled a wave of legislation aimed at scaling back AI infrastructure. And across the country, from Oregon to Iowa, protests are increasingly bridging political divides. As reported by Alaska Public Media, resistance to AI data centres is scrambling traditional alignments – conservatives, environmentalists, and rural landowners are calling for tighter oversight. The public response has shifted data centres from invisible infrastructure to a contested policy domain. By contrast, in many African countries, the same impacts remain largely unexamined in public debate.
The difference is not ambition but accountability. African governments and citizens are beginning to engage these issues, but institutional mechanisms remain underdeveloped. Few countries require robust public consultation. Fewer still have frameworks to measure long-term environmental and fiscal trade-offs. The result is a recurring pattern: national ambitions move faster than the regulatory systems meant to guide them. There are, however, early indications that alternative approaches are possible.
Morocco’s plan for a 500 megawatt renewable-powered data centre in Dakhla reflects an effort to align digital growth with energy strategy. Announced in 2025 by the country’s digital transition ministry, the facility is part of Morocco’s broader strategy to expand data storage within its own jurisdiction while positioning itself as a regional digital hub for Africa. Kenya’s geothermal-powered facility in Olkaria, part of a one-billion-dollar partnership with Microsoft and UAE firm G42, shows how environmental planning can be built into cloud infrastructure from the outset. The planned campus will begin with 100 megawatts of capacity and is expected to scale up to one gigawatt, with additional commitments to fibre connectivity, language models, and digital skills training. And Zambia’s civil society-led forum on AI and biodiversity offers a model of grassroots governance. Participants raised concerns about the energy and water demands of hyperscale data centres, the risks of extractive digital agriculture platforms, and the political implications of foreign-owned data routes. The forum concluded with a call for biosafety protections, digital rights, and community participation in AI policymaking. Together, these examples suggest that inclusive governance can begin before the ground is broken. What matters is not only how fast data centres are built, but whether citizens help shape the terms.
Ultimately, the question “Who pays for the cloud?” is about more than cost. It is about whose priorities define national development, whose resources are consumed to sustain it, and whose voices are heard when trade-offs are made. The cloud may be intangible, but its impacts are not. If its footprint remains invisible and its governance unchallenged, Africa risks replicating extractive patterns under a digital banner. The cloud cannot become the next frontier of silent sacrifice. It must become the ground where accountability is reclaimed and innovation fostered.
