Research without
boundaries.

Emmanuel Usulor Nwogboji, Umar Atolagbe, Ogah Sunday Ogbo

This study examines the effect of artificial intelligence on manufacturing and industrialisation in Africa, focusing on how AI-driven automation is disrupting industrial employment, threatening the labour-intensive manufacturing pathway that historically enabled structural transformation in East Asia, and reshaping the industrial policy choices available to African economies. The study adopts a mixed-methods design combining systematic documentary analysis, comparative policy mapping, and secondary quantitative data from major international and regional institutions. Guided by Structural Transformation Theory and the Technology-Organisation-Environment Framework, the study identifies six major disruption domains: automation of labour-intensive tasks, concentration of productivity gains in foreign-owned firms, displacement of workers witho

Emmanuel Usulor Nwogboji, Emmanuel Simon, Ogah Sunday Ogbo

This study examines how artificial intelligence is reshaping media and public discourse in Africa, with a focus on the spread of disinformation, the challenges facing local journalism, and the need for stronger governance. It adopts a mixed-methods approach, combining documentary analysis, comparative regulatory review, and data from organisations such as UNESCO, the Reuters Institute, Africa Check, the Mozilla Foundation, and Research ICT Africa, alongside reports from regulators in Nigeria, Kenya, South Africa, Ghana, and Egypt. The study identifies six key areas of disruption. These include the use of AI to spread electoral disinformation, the rise of health misinformation, and the role of algorithms in amplifying ethnic and communal tensions. It also highlights AI-driven financial scams targeting mobile money users, the growing pressu

Emmanuel Usulor Nwogboji, Ogah Sunday Ogbo, Umar Atolagbe

This study examines how artificial intelligence (AI) is reshaping retail and consumer markets in Africa, focusing on rising market concentration, the displacement of informal traders, and the need for stronger regulation. It adopts a mixed-methods approach, combining documentary analysis, comparative regulatory review, and data from organizations such as the International Finance Corporation, the African Development Bank, the African Competition Forum, the ILO, and FinMark Trust, alongside reports from regulators in Nigeria, Kenya, South Africa, Ghana, and Egypt. The study identifies six key areas of disruption: AI-driven pricing allows large digital platforms to undercut informal traders, data control strengthens these platforms’ market dominance, recommendation systems influence consumer behavior, and AI-integrated supply chains often e