Efficiency of Artificial Intelligence among Engineers in Manufacturing Firms in Nigeria

This study examined “Efficiency of Artificial Intelligence among Engineers in Manufacturing Firms in Nigeria”. Methodology: Relevant data were drawn from selected journals, textbooks. Qualitative content analysis was used to analyze the data. Study conclusion and policy recommendations: The study concluded that the efficiency of artificial intelligence (AI) among engineers in manufacturing firms in Nigeria reflects both promising potential and significant challenges. Empirical evidence suggests that AI technologies, when effectively adopted, enhance productivity, accuracy, and task performance by automating routine engineering processes, enabling real-time monitoring, and improving data-driven decision-making. In firms with sufficient infrastructure and skilled personnel, AI integration has already resulted in measurable gains, such as reduced downtime, faster maintenance cycles, and improved product quality. Finally, the study recommends that to enhance the efficiency of artificial intelligence among engineers in manufacturing firms in Nigeria, it is recommended that firms invest in continuous training and capacity-building programs to equip engineers with the necessary AI-related technical skills. Government and private sector collaboration should be strengthened to improve digital infrastructure, such as stable power supply and high-speed internet, which are critical for the smooth operation of artificial intelligence systems.