Nigerian universities face a difficult question as artificial intelligence (AI) becomes increasingly important in education and the workplace: how can institutions prepare students for an AI-driven future when reliable internet access remains a challenge for many learners?
The issue goes beyond introducing artificial intelligence courses or encouraging students to use tools such as ChatGPT. Effective AI education requires dependable connectivity, suitable computers, electricity, trained lecturers and opportunities for students to practise what they learn. Without these essentials, universities risk teaching a technology that many students cannot consistently access outside the classroom.
The challenge is particularly important for Nigeria, where young people need relevant digital skills to compete for employment, participate in technological innovation and contribute to economic development. Universities cannot afford to ignore AI, but adopting it without addressing existing infrastructure gaps could deepen educational inequality.

AI Education Must Go Beyond the Classroom
Artificial intelligence is already changing how students research, understand difficult subjects, complete assignments and acquire new skills. However, knowing how to use an AI chatbot is different from understanding how artificial intelligence works, evaluating its outputs or developing AI-powered systems.
A September 2026 study published in Discover Education, which examined Nigerian undergraduates across the country’s six geopolitical zones, found that students use AI to access academic materials, study independently and understand subjects through tailored explanations. The research also identified challenges, including unreliable internet connections, insufficient AI literacy, misleading AI-generated information and overdependence on the technology.
These findings highlight an important distinction. Nigerian students are already encountering AI, but universities must help them use it responsibly and develop the technical knowledge needed to create solutions of their own.
That requires practical learning, not simply adding AI to an existing curriculum. Students need opportunities to experiment with data, understand machine learning concepts, write code and test AI applications. When internet access is inconsistent, these activities become more difficult, particularly where institutions depend on online platforms and cloud-based computing resources.
Also Read: Why African Universities Are Expanding AI Degree Programmes to Prepare Students for the Future
The Cost of Connectivity Could Widen Educational Inequality
For many students, accessing digital learning resources involves balancing the cost of mobile data against other essential expenses. Even when an AI tool offers a free version, using it regularly may require a stable connection, a suitable device and sufficient electricity.
Students who can afford personal laptops, reliable broadband and additional data subscriptions have an advantage over classmates who depend on shared campus facilities or mobile internet. This difference can affect their ability to practise, complete research and develop marketable skills.
The problem also extends to universities. Research published in August 2026 in the International Journal of Quantitative and Qualitative Research Methods examined digital inequality in Nigerian public university libraries. It identified unreliable connectivity, unstable electricity and expensive foreign-currency subscription models as barriers to integrating AI into academic library services.
These obstacles suggest that AI education cannot be treated as a curriculum issue alone. Universities need infrastructure investment, affordable access to computing resources and continuous training for lecturers. Otherwise, students may learn the theory without gaining enough practical experience to apply it.
Back Story: Nigeria Is Taking Steps to Expand Digital Learning
Nigeria has begun exploring ways to reduce the cost of accessing educational content online. On 1 October 2026, the Nigerian Communications Commission announced a zero-rated data access initiative, developed with the Association of Licensed Telecommunications Operators of Nigeria.
The initiative provides eligible learners with up to 100MB of free daily data for approved educational platforms. According to the commission, the programme is intended to make digital learning resources more accessible and reduce connectivity-related barriers.
This is a useful step, although its impact will depend on which platforms qualify, how easily students can access the benefit and whether the allowance meets their learning needs. A modest daily allocation may support reading and basic research, but intensive AI development, large downloads and extended online practical sessions can require considerably more data.
The wider debate is also gaining attention. A BusinessDay report published on 10 October 2026 highlighted concerns about whether Nigerian tertiary institutions have the infrastructure, updated curricula and teaching capacity needed to prepare students for an AI-driven economy.
What Nigerian Universities Must Do Next
Nigerian universities do not need to postpone AI education until every infrastructure problem has been solved. Instead, they should pursue two goals together: introducing relevant AI skills and improving the conditions that make practical learning possible.
Institutions can begin with foundational AI literacy, responsible use, programming and data analysis before progressing to more advanced applications. They can also establish shared computer laboratories, negotiate affordable connectivity, provide offline learning materials and develop partnerships with technology companies and research organisations.
Government agencies and telecommunications providers should support these efforts through affordable educational connectivity, dependable campus networks and improved electricity supply. Universities must also train lecturers to teach AI critically, helping students recognise inaccurate outputs, protect personal information and avoid excessive dependence on automated tools.
Ultimately, the question is not whether Nigerian universities can afford to teach artificial intelligence. They cannot afford to leave their students unprepared for it. The real challenge is ensuring that AI education delivers practical skills to students across different income levels and locations, rather than becoming another advantage reserved for those who can afford better access to technology.
Also Read: Why Online Universities Could Become Nigeria’s Answer to the Growing Demand for Higher Education



