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The Impact of AI-Driven Automation on Semi and Unskilled Workers in Sub-Saharan Africa's Manufacturing Sector: A Socio-Economic Analysis and Policy Perspective
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Author(s): Vusi S. Mncube (Dr. V.S. Mncube Foundation NPC, South Africa & Atlantic International University, USA)
Copyright: 2027
Pages: 28
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/406744
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Abstract
The rapid growth of AI and automation offers Sub-Saharan Africa economic opportunities as well as labor market challenges. Even though the technologies are capable of raising productivity, they are a threat to semi- and unskilled jobs, particularly in manufacturing. The systematic review is employed in this study to analyze the impact of AI-driven automation on vulnerable workers and considers socio-economic implications. Results indicate rising job displacement, industrial change, and inequality. Unless targeted interventions occur—including inclusive education, vocational training, and labor reforms—AI may exacerbate poverty and joblessness. The research also identifies policy loopholes and unequal AI preparedness on the continent. It ends with strategic suggestions to foster inclusive growth and orchestrate disruption, contributing evidence-based insights to the future of work in Africa.
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