Artificial Intelligence, Employability and Labour Market Restructuring: An Industrial Sociological Analysis of Educational Preparedness in Nigeria
The growing integration of artificial intelligence into global production systems has introduced a decisive shift in labour market structures, redefining employability standards and placing renewed pressure on educational institutions to produce technologically adaptable graduates. Against this background, this paper examined artificial intelligence, employability and labour market restructuring through an industrial sociological analysis of educational preparedness in Nigeria. Specifically, the paper examined how artificial intelligence is influencing employability patterns in Nigeria’s labour market, assessed the role of Nigeria’s educational system in preparing graduates for labour market changes associated with artificial intelligence, and analysed the implications of artificial intelligence-driven labour market restructuring for workforce participation and occupational opportunities in Nigeria. The paper adopted Human Capital Theory as its theoretical framework, while analytical review method was utilised through critical examination and synthesis of current scholarly literature published between 2020 and 2026. The paper revealed that artificial intelligence is increasingly shaping recruitment priorities in favour of digital competence, computational reasoning and adaptive technological literacy. The paper further established that Nigeria’s educational system remains inadequately positioned to equip graduates with relevant competencies due to outdated curricula, weak digital infrastructure and insufficient industry-academic collaboration. The paper also found that artificial intelligence is generating new occupational opportunities while simultaneously reducing routine employment pathways and widening labour market inequality among graduates. The paper concluded that educational preparedness is central to labour market competitiveness in Nigeria’s evolving technological environment. It recommended urgent curriculum reform, strengthened institutional collaboration with technology-driven industries, and strategic investment in digital infrastructure and lecturer capacity development to improve graduate readiness for an artificial intelligence-driven labour market.
KEYWORDS: Artificial Intelligence, Employability, Labour Market Restructuring, Industrial Sociology, Educational Preparedness, Nigeria.
