This learning conducts a sectoral analysis of Artificial Intelligence (AI) adoption and its resultant productivity advantages within Nigeria's embryonic business landscape. Whereas AI offerings a transformative opportunity to improve operational competence, data-driven decision-making as well as over-all competitiveness, its incorporation through the Nigerian economy remains jagged. The Financial Technology (Fintech), Healthcare plus Agriculture sectors lead adoption, leveraging AI for critical functions such as swindle detection, client service automation and prognostic analytics to optimize supply chains as well as advance diagnostics. Empirical confirmation proposes that AI adoption absolutely correlates with productivity improvements, comprising up to a 65% upsurge in informed decision-making plus noteworthy operational budget reductions in adopting businesses. Equally, the prevalent deployment of AI, chiefly amid Small as well as Medium Enterprises (SMEs), is relentlessly vulnerable by dangerous hurdles: considerable financial constraints, tenacious infrastructural shortages (unreliable power plus limited internet admittance), a noteworthy digital skills gap as well as an undersized regulatory framework for data governance. The investigation clinches that while Nigeria enjoys the entrepreneurial ambition besides potential for AI leadership, bridging the infrastructural plus skills gulfs through targeted policy involvements and tactical investment is critical to completely unlock AI-driven productivity as well as withstand long-term economic development.
Peter et al. (Sat,) studied this question.
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