Abstract

Artificial Intelligence (AI) has emerged as a transformative tool in economic choice-making, reshaping how corporations and individuals make informed financial selections. This study explores the position of AI in improving economic selection making procedures, specializing in predictive analytics, danger evaluation, and portfolio management. How AI-pushed technology such as machine learning (ML), language processing (NLP), and neural networks can improve financial outcomes, reduce human bias, and provide real-time data insights. Through an analysis of current AI applications inside the financial quarter, this research goals to contribute to the body of understanding that supports higher choice-making frameworks. Overview, the adoption of AI in financial offerings has remained significant, but the present day contribution remains focused on operational efficiency and analytical assistance. While AI is being used in increasing numbers in regions that include fraud detection, credit risk modeling, and research funding, human judgment continues to play a huge role in final financial selections. The view therefore highlights the importance of a human-AI collaborative method supported by appropriate governance, transparency and duty.

Keywords: Artificial Intelligence, Financial Decision Making, Financial Organizations, Machine Learning