AUTOMATION AND HUMAN CAPITAL DEVELOPMENT IN THE NIGERIAN OIL AND GAS INDUSTRY

This study examined the impact of automation on human capital development within the Nigerian oil and gas industry. It specifically focused on the potential for reskilling and upskilling and the adaptability of the workforce to automation-driven changes. The study employed a descriptive survey research design, utilizing a questionnaire to collect data from a sample of 385 workers, selected from a population of 10,671 employees across three major oil and gas companies in Nigeria. The sample was determined using the Yamane Taro method, and a multi-stage sampling technique was employed to target industry experts. The findings indicate a generally positive perception of reskilling and upskilling opportunities, with an overall mean score of 4.02, which suggest that the industry is making significant efforts to equip its workforce with the necessary skills to handle automation. However, some variability in responses highlights the need for improved accessibility and structure of these programs. Regarding workforce adaptability to automation-driven changes, the overall mean score of 4.14 reflects a strong capacity to adapt, though the data reveals challenges in training effectiveness, managerial support, and the pace of technological advancements. The study concluded that while the Nigerian oil and gas industry is proactive in addressing the challenges posed by automation through reskilling and upskilling initiatives, there are areas for improvement, particularly in ensuring equitable access to these programs and enhancing support mechanisms for workers. These efforts are critical for sustaining the growth of the industry and ensuring that the workforce can fully leverage the benefits of automation