South Korean Official: AI Dominance Requires Computing and Data, Not Just Models
Translated from Korean, summarized and contextualized by DistantNews.
At a glance
- South Korea's Vice Minister of Science and ICT, Ryu Je-Myung, stated that securing AI leadership requires more than just advanced models.
- He emphasized the need for robust infrastructure, including large-scale computing resources and data, to support AI development.
- Ryu made these remarks at the Smart Cloud Show 2026, highlighting the shift in global AI competition towards infrastructure.
To achieve leadership in the artificial intelligence race, countries must develop not only superior AI models but also the underlying infrastructure to support them, according to Ryu Je-Myung, South Korea's Second Vice Minister of Science and ICT.
Ryu stressed that securing a leading position in AI necessitates a comprehensive approach, encompassing substantial computing power and vast datasets alongside cutting-edge AI models. He spoke at the "Smart Cloud Show 2026," South Korea's largest tech conference, held in Seoul on August 26, 2026.
The Vice Minister's remarks signal a recognition that the global competition in artificial intelligence is increasingly shifting its focus from solely AI models to the critical importance of computing resources and data infrastructure. This perspective underscores the need for strategic investment in hardware and data management to foster AI innovation and maintain a competitive edge.
To secure AI leadership, we must have not only excellent AI models but also computing and data.
Originally published by Chosun Ilbo in Korean. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.