Are AI's being approached or avoided?

Adopting Artificial Intelligence (AI) in organizational settings creates a dichotomy between economic gains for stakeholders and job security concerns for employees, leading to documented avoidance behavior. This resistance can negatively impact innovation and market competitiveness. This paper examines perceived workload (PW), an area not yet fully explored, and it is a critical factor in employees' reluctance to engage with AI technologies. The research investigates how task delegation to AI influences PW and the subsequent avoidance behavior, considering the legal context that precludes AI accountability and necessitates human oversight. The study will incorporate responsibility denial (RD) as a cognitive mechanism within its theoretical framework, examining how and why RD among employees influences organizational outcomes and AI adoption. The findings will help identify how to effectively manage PW perceptions and could potentially reduce AI avoidance, facilitating better AI integration into workplaces and protecting corporate investments.