Artificial Intelligence (AI) plays a transformative role in enhancing financial modeling and forecasting in commercial banks by improving accuracy, efficiency, and decision-making processes through advanced algorithms and predictive analytics. This study investigates the impact of AI-based financial modeling techniques on the accuracy and efficiency of forecasting financial performance in commercial banks in Jordan, as well as the challenges and opportunities associated with AI adoption. Data were collected from 145 managers across four commercial banks in Amman, Jordan Commercial Bank, Jordan Kuwait Bank, Jordan Ahli Bank, and Housing Bank for Trade & Finance—using a questionnaire adapted from [1], which included demographic questions and a 5-point Likert scale. Findings reveal that AI significantly improves forecasting accuracy and operational efficiency, despite posing challenges related to costs and data protection. The study concludes that Jordanian banks should invest in AI technologies, supported by research funding, regulatory backing, and training initiatives to maximize benefits.