The rapid advancement of Artificial Intelligence (AI) is reshaping the global economic landscape, ushering in a transformative era known as the AI economy. This paper explores the dynamic interplay between AI technologies and economic growth, with a particular focus on intelligent finance—a domain where AI-driven tools and systems are revolutionizing financial decision-making, risk assessment, asset management, and market forecasting. By synthesizing recent academic and industry research, the paper examines how AI contributes to productivity enhancements, innovation acceleration, and the evolution of new business models across sectors. It also delves into the structural changes AI imposes on labor markets, capital flows, and regulatory frameworks, highlighting both opportunities and challenges that arise from this transition.

A central theme is the concept of "intelligent finance," where machine learning, natural language processing, and automated systems facilitate data-driven strategies, enabling more accurate financial planning and investment decisions. The review critically evaluates how these technologies influence macroeconomic indicators, financial stability, and global competitiveness. Furthermore, the paper discusses ethical considerations, including algorithmic bias, data privacy, and the socio-economic implications of AI-induced disruption.

Ultimately, this study offers a comprehensive overview of the emerging AI economy, providing insights into how nations and enterprises can adapt and thrive. By identifying key trends, policy gaps, and future research directions, the paper serves as a foundational resource for academics, policymakers, and financial leaders navigating the intersection of AI innovation and economic development in the 21st century.

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