What happened
A judges’ report on the 2026 United Bank for Africa (UBA) Foundation National Essay Competition found that roughly 35‑40% of the more than 12,000 essays submitted exhibited linguistic and structural characteristics associated with tools. The panel, composed of English professors from four Nigerian universities, identified overly polished American English, repetitive transitional phrases, generic solutions unrelated to local contexts, and AI‑style disclaimer language as key indicators. They also noted clusters of identical introductory paragraphs, definitions and conclusions, suggesting the circulation of shared prompts or templates via tutorial centres or WhatsApp groups. The judges warned that such practices undermine the competition’s goal of assessing originality and critical thinking, and they recommended mandatory AI‑detection and plagiarism screening for future editions, clearer guidelines, teacher briefings, and a minimum word‑count filter.
The judges’ report, obtained by The PUNCH, examined over 12,000 entries submitted to the 2026 UBA Foundation National Essay Competition. The panel—Prof Ini Uko (University of Uyo), Prof Asabe Kabir (Usmanu Danfodiyo University, Sokoto), Prof Emmanuel Omobowale (University of Ibadan) and Prof Samuel Onuigbo (University of Nigeria, Nsukka)—identified a range of linguistic markers that they associated with tools such as ChatGPT and Gemini. Specific red flags included an "overly polished American English" style, repetitive transitional phrases like "In today’s rapidly evolving world" and "Delve into", and generic, non‑contextual solutions such as "vertical farming in urban skyscrapers" or "government should invest in blockchain for food traceability" that do not align with Nigeria’s smallholder farmer realities.
Beyond stylistic cues, the judges observed substantive duplication across submissions. Several essays shared identical introductory sentences, definitions sourced verbatim from Wikipedia, and concluding statements. One recurring opening line was: "Food security is defined by the Food and Agriculture Organization as when all people at all times have physical, social and economic access to sufficient, safe and nutritious food." The report interpreted these patterns as evidence of shared prompts, tutorial‑centre handouts, or WhatsApp broadcast templates circulating among students and schools.
The judges warned that the prevalence of AI‑generated and templated essays makes it difficult to assess genuine writing ability and critical thinking. They argued that honest students who invest effort in original work are placed at a disadvantage. To address the issue, the panel recommended mandatory AI‑detection and plagiarism screening for future competitions, clearer essay guidelines, briefing sessions for teachers, and technical measures such as configuring the competition portal to reject entries under 400 words.
Why it matters
The findings highlight a growing challenge for educators and competition organizers in Africa: the rapid diffusion of large‑language‑model tools among secondary‑school students. If unchecked, AI‑generated essays can erode the credibility of academic assessments, disadvantage students who rely on genuine writing skills, and dilute the development of critical thinking—a core educational objective. The report also underscores the need for systemic safeguards, such as detection software and policy revisions, to preserve the integrity of scholarship programmes that award substantial financial support. Moreover, the incident reflects a broader global trend where is reshaping how young learners approach assignments, prompting policymakers to reconsider curriculum design, assessment methods, and digital‑literacy training.
The report provides concrete evidence that tools are already influencing secondary‑school writing in Nigeria, a country with over 200 million people and a rapidly expanding youth population. This raises questions about the fairness of scholarship competitions that award millions of naira based on written submissions.
If AI‑generated content becomes normalized, it could diminish the development of essential skills—argumentation, evidence‑based reasoning, and cultural relevance—that are critical for higher education and the workforce. The lack of personal voice and local examples in many essays suggests a disconnect between students and their own lived experiences, potentially weakening civic engagement.
The judges’ call for AI‑detection aligns with a global push among educators to integrate technical safeguards. However, the effectiveness of detection tools varies, especially when students may use paraphrasing or ‑engineering techniques to evade detection. This underscores the need for a multi‑layered approach that combines technology, teacher training, and curriculum redesign.
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What to watch next
Future editions of the UBA essay competition will likely incorporate the recommended AI‑detection tools and stricter submission rules, providing a test case for how large‑scale contests can adapt to AI‑assisted writing. Observers should watch for any official policy changes from the UBA Foundation or the Nigerian Ministry of Education regarding AI use in schoolwork. Additionally, the emergence of commercial or open‑source AI‑detection solutions tailored to the Nigerian context could influence how other academic institutions address similar concerns.
Implementation of AI‑detection software by the UBA Foundation for the next competition cycle. The choice of tool (commercial vs. open‑source) and its accuracy in the Nigerian linguistic context will be closely monitored.
Potential policy statements from the Nigerian Ministry of Education regarding permissible AI use in school assignments, which could set precedents for other academic contests and examinations.
Emergence of local ed‑tech startups offering AI‑detection or plagiarism‑checking services tailored to African languages and dialects, which could influence broader adoption across schools.
Reactions from student groups and educators, particularly any organized pushback or advocacy for clearer guidelines on legitimate AI assistance versus outright plagiarism.