Recently, automation is taking place at a very fast rate in most sectors around the world, and as can be deduced, Nigeria is not an exception to this trend. The consequences of automation on social systems and individual experience, as seen from the Nigerian angle in this paper, focus on how technological advancement affects society as well as both sides of the individual in Nigeria. Automation in Nigeria has a lot of opportunities that would lead to economic growth and efficiency through technological innovations in industries such as Agriculture, manufacturing, and services. Nevertheless, it also presents difficulties, including job redundancy, skills, and social changes. Automating potentially exacerbates income inequality in general, as automation is reshaping traditional job markets on a societal level. This study employs a mixed-methods approach to examine the dual impact of automation on societal structures and individual experiences in Nigeria. A representative sample of one hundred and twenty Nigerian workers across sectors of work that were affected by automation in agriculture, manufacturing, and services was administered a structured survey. The methodology combines quantitative data analysis with qualitative insights to provide a comprehensive understanding of the effects of automation. In addition, it covers possible ways of harnessing the benefits of automation for the benefit of Nigeria's society and the challenges involved. The quantitative data from this study show that automation has induced productivity growth and higher incomes for those who change to new technological roles, but it has also caused negative consequences, especially for the lowest-skilled workers. In other words, automation has led to a stratification in social status, where those with technical skills are increasingly valued, while those without are marginalized. To minimize the negative consequences of automation on vulnerable populations, social policies and support systems will need to be reevaluated in the transition towards automated processes