The growing integration of Artificial Intelligence (AI) in strategic management has sparked interest in understanding its interplay with individual experience in predicting firms’ performance. This study delves into the relationship between AI-generated firm performance predictions and individual predictions, especially focusing on the roles of domain-specific and general experience. Our research underscores the nuanced role that individual experience plays in influencing AI’s predictive capabilities, particularly under the condition of environmental uncertainty. Notably, we highlight the advantages of leveraging individual experience in AI predictions while showing the contingencies upon which the blending of machine learning and individual knowledge results in better or worse outcomes
