This chapter examines the transformative integration of Geographic Artificial Intelligence (GeoAI) into economic geography, focusing on its innovative contributions and potential applications. GeoAI combines geospatial technologies and artificial intelligence to address core challenges in economic geography, including spatial-temporal distributions, network relationships, and dynamic transformations. The chapter explores how GeoAI facilitates nuanced analyses of international trade, supply chain resilience, geopolitical impacts, and real-time economic dynamics through advanced methodologies. Despite its potential, GeoAI faces challenges, such as data quality, model limitations, and ethical concerns, which highlight the need for rigorous frameworks and interdisciplinary collaboration. The chapter concludes by outlining future directions, emphasizing the expansion of generative AI, the advancement of real-time analytics, and the integration of GeoAI into policy-making, aiming to establish its role as an indispensable tool for modern economic systems.