There is a conversation happening across boardrooms, tech hubs, and university lecture halls in Nigeria right now, and it centres on one uncomfortable question: why is Africa’s largest economy still on the margins of the artificial intelligence revolution? Microsoft’s AI Diffusion Report for 2025 attempts to answer part of that question, and the numbers are both illuminating and sobering. According to the report, only about 9 to 10 percent of Nigeria’s working-age population actively uses generative AI products, placing the country firmly in the lower tier of global adoption despite its outsized reputation as a tech-forward African nation.
To put that figure in context, it helps to understand the broader landscape Microsoft is painting. By the end of 2025, roughly one in six people worldwide had used a generative AI product, with global adoption reaching 16.3 percent of the world’s population. That represents meaningful progress from the 15.1 percent recorded just months earlier. But the story beneath that headline number is far less encouraging for developing economies. Adoption in the Global North grew nearly twice as fast as in the Global South during the same period, widening the gap between wealthy and poorer nations from 9.8 to 10.6 percentage points. At the end of 2025, about 24.7 percent of the working-age population in the Global North was using generative AI tools, compared to only 14.1 percent in the Global South. Nigeria’s estimated 9 to 10 percent puts it well below even that already-lagging regional average.
What makes these numbers particularly striking is the contrast with how Nigerians are perceived, and how they perceive themselves, when it comes to technology adoption. Independent research tells a very different story. A 2025 global survey by Ipsos and Google found that 70 percent of Nigeria’s internet users had interacted with generative AI, significantly above many global averages. A separate Google and Ipsos study from early 2026 suggests that 93 percent of Nigerians now use AI to learn complex topics, with over 80 percent applying AI tools in their day-to-day lives. There is also the striking data point from a local survey which found that 88 percent of Nigerian adults had used an AI chatbot, representing an 18-point jump from 2024 and far exceeding the global average of 62 percent.
The discrepancy between Microsoft’s figures and these independent surveys is not a contradiction so much as a matter of measurement. Microsoft’s methodology derives its numbers from aggregated and anonymized telemetry data, adjusted for differences in operating system and device market share, internet penetration, and overall country population. This approach captures a specific definition of regular, measurable usage across Microsoft-adjacent products and platforms. It does not account for the millions of Nigerians who access AI tools intermittently through mobile browsers, messaging apps, or third-party platforms that fall outside Microsoft’s telemetry reach. In a country where mobile internet penetration is high but broadband infrastructure remains inconsistent, these gaps in data capture matter enormously.
Still, the Microsoft report’s framing forces an honest reckoning with the structural challenges that constrain Nigeria’s AI potential. The barriers are well-documented and deeply interconnected. Limited broadband access keeps large portions of the population from engaging with data-intensive AI applications. Inconsistent electricity supply means that even Nigerians who own capable devices cannot always use them reliably. High data costs price out millions of potential users, particularly in rural and semi-urban areas. And most global AI systems are built primarily for English or high-resource languages, which disadvantages users who communicate primarily in Hausa, Yoruba, Igbo, or any of Nigeria’s more than 500 other languages. The Microsoft report itself flags this, noting that nations where low-resource languages dominate tend to show lower AI adoption even after controlling for GDP and internet access.
It is worth noting what is changing. Microsoft has been investing directly in Nigeria’s AI future through its AI National Skills Initiative, which has so far reached over 350,000 Nigerians with AI skills in partnership with the Federal Government, Data Science Nigeria, and Lagos Business School. The programme’s second phase, launched in January 2025, is targeting one million citizens over three years. Over the past year, the initiative has also trained 99 public sector leaders, including members of the National Assembly and senior executives from 58 ministries and agencies, equipping them with AI-powered frameworks for governance and decision-making. President Bola Tinubu has publicly pledged to position Nigeria as a leader in Africa’s AI integration, signalling at least some top-level political will.
The global picture offers instructive comparisons. The UAE, which sits at the very top of Microsoft’s rankings with 64 percent of its working-age population using generative AI, did not arrive there by accident. It appointed the world’s first Minister of State for Artificial Intelligence back in 2017, launched a national AI strategy covering nine priority sectors that same year, and has spent nearly a decade building the policy scaffolding, digital infrastructure, and public trust that makes broad AI adoption possible. Singapore, in second place with nearly 61 percent adoption, followed a similarly deliberate path. South Korea made the most dramatic gains in the second half of 2025, jumping seven spots to 18th place globally by combining government policy, improved Korean-language model capabilities, and consumer-facing features that resonated with everyday users. These are not cautionary tales for Nigeria but blueprints.
What Nigeria has in abundance is the raw material that AI thrives on: a young, digitally curious, entrepreneurially driven population. The country has one of the largest concentrations of tech-savvy youth on the continent, a growing startup ecosystem, and a diaspora that punches well above its weight in global tech circles. The 10 percent figure from Microsoft’s report does not represent a ceiling but a floor, and a low one at that. The question is whether the conditions that would push that number toward 30, 40, or 50 percent over the next decade are being put in place now, while the technology is still relatively young and the opportunity window is open. Broadband expansion, reduced data costs, localised AI tools that work in Nigerian languages, and consistent electricity are not abstract policy goals. They are the direct preconditions for AI diffusion at scale.
The Microsoft report warns explicitly that unless infrastructure gaps in the Global South are addressed, the digital and innovation divide between richer and poorer nations risks widening further. For Nigeria, that warning lands with particular weight. A country of over 220 million people, with the largest economy in Africa and an enormous working-age population, sitting at roughly 10 percent generative AI adoption is not just a missed opportunity for individual productivity. It represents a structural disadvantage that compounds over time as AI becomes more embedded in how businesses operate, how governments deliver services, how students learn, and how economies grow. The gap is real. Whether it becomes permanent depends entirely on the choices made in the next few years.
