Developing AI-Driven Business Intelligence Systems to Strengthen Economic Competitiveness and Policy Innovation in the United States

The rapid growth in the data availability and the analytical capacity has brought new possibilities to the application of artificial intelligence (AI) to business intelligence (BI) systems to improve the economic decision making process and policy development. The proposed research is dedicated to the creation of an AI-based business intelligence model that would help enhance the economic competitiveness and policy innovation in America. The study combines the most important macroeconomic and financial market indicators such as interest rates, inflation, gross domestic product (GDP), unemployment, industrial production, and the performance of the stock market using a longitudinal economic and financial dataset of the United States between 1974 and 2024. The data, retrieved on Kaggle and gathered on the basis of trustworthy sources, including Federal Reserve Economic Data and Yahoo Finance offers close to 50 years of monthly data, which is appropriate in high-level time-series analysis and decision-support analysis. The suggested AI-based BI system includes machine learning and statistical methods to determine trends and predict the condition of the economy and assess the interdependence of macroeconomic variables. The system helps the stakeholders by turning the non-interactive economic data into interactive dashboards and predictive insights to be in a better position to understand the dynamics of the economy and predict the potential effect of the policy interventions. The results indicate that BI systems enhanced by AI can make significant improvements to the quality and timeliness of economic intelligence by revealing relationships between monetary policy instruments, real economic activity and financial market behavior. These lessons can be used by policy formulators to be innovative and effective in policy making and by businesses to remain relevant in an unstable economic climate. Ethical considerations, data governance, and transparency are also included in the study to make AI use in economic analytics responsible. In general, this study provides a realistic and applicable model of how AI business intelligence can be used to assist in strategic economic planning, improve the level of competitiveness, and guide policy innovation in the United States.