This study examines the inherent complexity of artificial intelligence (AI), its influence on economics and finance, and how it has triggered tremendous shifts in the global economic landscape. Thus, it reveals new patterns that have never been seen due to deep learning, artificial intelligence, machine learning, and natural language processing, which are revolutionizing data analysis. In keeping with all of them, it offers numerous advantages, such as the ability to detect delinquent behavior, reduce the risk of adverse effects, perform algorithmic trading, and improve the prediction of the macroeconomic scenario. As an optical illusion of substance in economics, artificial intelligence is a multi-faceted door to subversive studies and analysis using unusual methodologies that question and revise established statistical and economic principles. This is increasingly true when applying artificial intelligence to many problems, from behavioral finance to new forecasting systems, to improve our understanding of global markets. This allows college students to tailor their experiences, conduct real-time data analysis, and apply artificial intelligence to bring theory to the street. This might be useful for scholars too; therefore, all types of future work should cover data privacy concerns, algorithmic bias, and ethical issues. The practical application of artificial intelligence technology in the financial and economic fields is not an isolated technological pursuit but requires interdisciplinary collaboration.