Artificial Intelligence (AI) has emerged as a transformative force in the field of economic forecasting, enhancing the accuracy and timeliness of predictions while enabling the analysis of large and complex datasets. This paper explores the transition from traditional econometric methods to AI-powered forecasting, detailing the advantages and challenges involved in this shift. Case studies illustrate successful applications across various sectors, including finance, healthcare, and government, highlighting the potential for AI to improve decision-making processes. By examining the implications of AI in economic forecasting, this research aims to provide a nuanced understanding of its impact on policymaking, business strategy, and socioeconomic dynamics.