Predictive Modeling in Economics: The Role of AI and Deep Learning

The use of artificial intelligence and deep learning techniques in creating models has made great impacts in social economics where intricate phenomenon needs to be modeled and especially forecast. This paper reviews AI techniques and deep learning structures used in the analysis of economic data emphasizing their ability to identify non-linear data characteristics and deal with large number of variables. Some of the areas where this approach is utilized includes; financial forecast, analysis of macroeconomic indicators and assessment of policy outcomes. It also discusses the limitations, including data quality, interpretability, as well as an ethical concern and suggestions for future research works. Consequently, the research underlines the opportunities that AI has within the sphere of economic decision-making, providing accurate and efficient solutions for analysing significant economic issues.