This review article explores the transformative impact of Artificial Intelligence (AI) on financial planning, emphasizing its role in enhancing efficiency, accuracy, and strategic decision-making. The integration of AI into financial planning has redefined traditional methodologies, offering new opportunities for innovation and operational improvements. Through a comprehensive analysis of peer-reviewed literature and empirical studies, the research highlights the historical progression, current implementations, and multifaceted impact of AI in the financial sector. The study examines the challenges and ethical considerations associated with AI adoption, including data privacy, regulatory compliance, and the potential for algorithmic bias. It also discusses the benefits of AI in risk assessment, predictive analytics, and personalized financial planning, while addressing the need for a balanced approach that ensures ethical stewardship and regulatory compliance. The findings underscore the dual role of AI as both a catalyst for efficiency and a source of new challenges, advocating for a harmonious blend of innovation and ethical responsibility. The study concludes with recommendations for financial institutions to embrace AI's potential while addressing its challenges through continuous learning, adaptability, and ethical vigilance. The research provides insights into navigating the complexities of AI-driven financial planning, emphasizing the importance of a collaborative and informed approach to ensure the stability, fairness, and trustworthiness of financial planning practices.This review article explores the transformative impact of Artificial Intelligence (AI) on financial planning, emphasizing its role in enhancing efficiency, accuracy, and strategic decision-making. The integration of AI into financial planning has redefined traditional methodologies, offering new opportunities for innovation and operational improvements. Through a comprehensive analysis of peer-reviewed literature and empirical studies, the research highlights the historical progression, current implementations, and multifaceted impact of AI in the financial sector. The study examines the challenges and ethical considerations associated with AI adoption, including data privacy, regulatory compliance, and the potential for algorithmic bias. It also discusses the benefits of AI in risk assessment, predictive analytics, and personalized financial planning, while addressing the need for a balanced approach that ensures ethical stewardship and regulatory compliance. The findings underscore the dual role of AI as both a catalyst for efficiency and a source of new challenges, advocating for a harmonious blend of innovation and ethical responsibility. The study concludes with recommendations for financial institutions to embrace AI's potential while addressing its challenges through continuous learning, adaptability, and ethical vigilance. The research provides insights into navigating the complexities of AI-driven financial planning, emphasizing the importance of a collaborative and informed approach to ensure the stability, fairness, and trustworthiness of financial planning practices.