The Impact of AI on Economic Forecasting Accuracy: A Study of Recent Innovations and Their Limitations

Integrating artificial intelligence (AI) in economic forecasting marks a transformative advancement in the field, promising unprecedented accuracy and adaptability. This paper examines the dual facets of AI's impact: its ability to enhance forecasting precision through innovations like machine learning and natural language processing, and the inherent limitations, such as data biases, model interpretability challenges, and dependency on quality datasets. The research highlights how AI models outperform traditional methods, particularly during volatile economic periods by analyzing recent innovations—including deep learning models, real-time data integration, and sentiment analysis. However, it also acknowledges the need for human oversight and ethical considerations to address the “black-box” nature of AI algorithms. The study underscores the necessity of balancing technological capabilities with transparency and reliability, offering actionable insights for policymakers and businesses navigating the evolving economic landscape.