Thriving with AI: Human–AI Collaboration, Employee Adaptability, and Performance

Abstract

In terms of professionals’ work, the introduction and utilization of artificial intelligence (AI) results in important changes: ways of obtaining and using information, making decisions and accomplishing tasks can alter. Nevertheless, it seems that benefits brought by human AI collaboration depend on the way employees are capable of altering their techniques of labor and obtaining the necessary skills that will allow them to benefit from using AI technologies. The research discussed will analyze the issue using empirical methods in order to examine human–AI cooperation and the performance of employees from higher education institutions in Pakistan. Based on such theories as Job Demands Resources Theory and Sociotechnical Systems Theory, this research will suggest that the employee’s ability to adapt is the mediating variable in the relationship between the independent variable (human AI cooperation) and the dependent variable (performance). The study also introduces the concept of AI literacy to apply it in testing its moderator role in the relationship between the above-mentioned variables. The quantitative method of research will be used; the time-lagged survey will be administered to both academic and administrative employees of higher education institutions in Pakistan. The collected data will be analysed using different techniques of measuring and modelling in order to find direct connections between the method of cooperation and the performance of the workforce, as well as detect potential mediating or moderating connections. The research aims not only to provide a better understanding of the role of collaboration between humans and AI in a professional environment, but also to draw conclusions that can be applied in life.