Addressing the current debate on the effects of AI on employment, this study aims to present an analysis and suggest a framework, consisting of two parts. Firstly, we explore the effects of AI and automation - in terms of a risk perception - on the workforce with a focus on organizational and occupational commitment. For this purpose, we conducted a survey with 153 participants across diverse industries. Our findings indicate that perceived risk of automation (PRA) on occupation has negative impacts on both organizational (OC) and occupational commitment (OCC). Our findings also suggest that additional research is necessary to investigate organizational dynamics that alleviate automation-related issues while optimizing its advantages. To this end, as the second part of this study, we suggest a hypothetical framework for the impact of AI-driven automation on employee perceptions, emphasizing AI literacy (AIL), perceived automatability (PCA), automation-related performance optimism (APO), and organizational commitment (OC). This study suggests that AIL can positively impact APO, highlighting the necessity for organizations to improve employees' comprehension of AI tools to promote optimism and adaptability. PCA is also suggested as being positively correlated with APO, indicating that employees who view automation with greater optimism can have positive effects on commitment. APO is further suggested as a major mediator in the interactions between AIL and OC, as well as between PCA and OC.
