SEOUL: As China accelerates its advance in foundation models, South Korea is not far behind in frontier model performance, according to Shin Jin-woo, information and communication technology endowed chair professor at the Kim Jaechul Graduate School of Artificial Intelligence (AI) at Korea Advanced Institute of Science and Technology.
But performance is not the real issue.
“The technology gap is often exaggerated,” Shin said in a recent interview with The Korea Herald in Seoul.
“Based on the time required to absorb and reproduce publicly released technologies, the difference is closer to half a year.”
Because many Chinese models are open source, South Korean developers can study and replicate core advances quickly, he explained.
However, he drew a sharp distinction between matching benchmarks and leading ecosystems.
“China already has the technological power to lead parts of the industry,” he said.
“That’s a different matter from simply catching up in performance.”
Shin noted that raw performance differences between US and Chinese models are narrower than commonly perceived.
“US models may be more polished in certain services, but Chinese models have reached comparable levels in many areas,” he said.
Where China stands out is industrial deployment speed.
“Even if the technology is not fully refined, it is deployed quickly.
“Feedback from those deployments flows back into the next generation of models. That cycle has become a structural advantage,” he said.
The loop – development, deployment, data accumulation and refinement – compresses iteration timelines in ways that pure lab competition cannot match.
According to Shin, China’s acceleration rests on three coordinated pillars: talent, data and computing power.
“AI ultimately depends on people, data and computing,” he said.
“China has mobilised engineering talent, expanded access to data and invested heavily in computing infrastructure.”
While the United States maintains dominance in high-end AI hardware globally, China has strengthened domestic semiconductor capabilities and alternative computing pathways.
“Bringing those three elements together in a coordinated way makes a major difference,” Shin said.
The debate over “sovereign AI” in South Korea has intensified as the government advances a state-backed foundation model initiative.
During the second-stage review of the national AI project, questions arose over how much open-source integration is acceptable for models labelled as domestically independent.
“It was a process of clarifying standards,” Shin said. “We needed to draw a line between open-source adoption and sovereign development.”
He added that large-scale foundation model development cannot be sustained by private companies alone.
“AI is capital-intensive and long-horizon,” Shin said.
“In South Korea’s corporate environment, few firms can absorb years of losses without government backing. Some level of state-driven momentum is inevitable.” — The Korea Herald/ANN
