South Korea advances agentic AI push across industry, talent and regulation
South Korea’s government is accelerating its push to prepare for an era of agentic artificial intelligence, where AI systems plan and act to achieve goals with less human intervention. The move spans industry development, talent cultivation, infrastructure, and regulatory groundwork as part of a broader strategy by the Ministry of Science and ICT.
On the morning of the meeting, Deputy Minister Ryu Jemyung of the Science and ICT Ministry led a discussion at the National Science and Technology Advisory Council in Seoul. The session, themed “In the agentic AI era, strategies for the software industry and talent development,” followed six recent innovation colloquia that gathered more than 70 domestic AI and software experts to map the path forward.
Participants described dramatic productivity gains, noting that projects that once took three years could be completed in as little as 40 days when agentic AI is involved. They warned, however, that the shift toward AI-driven production could widen gaps between firms and individuals depending on how effectively AI agents are deployed.
Joon-hee Cho, chair of the Korea AI and SW Industry Association (KOSA), emphasized a market shift from buying packaged software to using AI to build only the necessary features. This shift, he said, requires a reorientation of talent development to match the new demand from an AI-native economy.
The ministry’s discussions also touched on policy and regulatory questions raised by agentic AI, including how software project pricing should be adjusted, who bears responsibility for final outputs, and which new areas should receive institutional support. These issues reflect ongoing work to align law and policy with rapidly evolving AI-enabled workflows.
Experts argued that new talent must span from high-level problem framing and system design to validation and debugging of AI-generated results. They urged universities to pivot curricula away from coding-centric training toward design, verification, and real-world deployment skills.
Infrastructure and data access were highlighted as bottlenecks. KAIST professor Sung Min-hyeok stressed the lack of GPU clusters dedicated to AI education in Korea and called for innovative solutions, such as repurposing older enterprise GPUs for teaching while keeping research and education data separate.
Deputy Minister Ryu underscored that the government is revisiting AI-human resource strategies to ensure they meet field needs in an AI-centric environment. He said plans will target a continuum of AI expertise—from advanced researchers to practical talent and retraining for job seekers—creating a comprehensive talent-development policy for the agentic AI era.
Why this matters to the United States: Korea’s approach signals how a major Asian economy plans to integrate agentic AI into industry, education, and policy. For U.S. technology and defense interests, it highlights potential demand for AI hardware and cloud services, implications for global AI talent pipelines, and the regulatory and workforce shifts that could influence collaboration, supply chains, and competition in AI-enabled software development. The steps Korea takes could affect international standards, bilateral technology partnerships, and the broader pace of AI-enabled innovation.