Comparative analysis of AI innovation systems in the U.S. and South Korea

The rapid advancement of artificial intelligence (AI) significantly impacts the global landscape, making it essential for both technological and economic growth.Understanding the strategies countries use to support AI research is key to grasping innovation trends.The United States (U.S.) and South Korea are major players in this field, each developing a research ecosystem shaped by their unique economic and social backgrounds.This study explores AI research in these countries, focusing on research areas, government support, industry involvement, and talent development.By comparing these aspects, the analysis aims to highlight the distinct features of AI research in the U.S. and South Korea, as well as their roles in the global AI movement.Both nations approach AI development in different but complementary ways.The U.S. leads in innovation and talent cultivation, due to its prestigious academic institutions, corporate investments, and focus on fundamental research and key applications.While the U.S. government plays a crucial role in funding, there is growing attention to the social and ethical implications of technology, including efforts to expand access to AI.Meanwhile, South Korea adopts a governmentled approach, concentrating on AI hardware and proprietary models while leveraging its semiconductor industry.South Korea aims to become a responsible global leader in AI by prioritizing ethical practices and building trust.Significant government investments, research facilities, and international cooperation demonstrate its commitment to becoming a leading AI hub, despite challenges in fulfilling the demand for specialized expertise.