President Lee Jae-myung announced a regional growth blueprint on Monday to secure South Korea's leadership in artificial intelligence and semiconductors.
The initiative represents a strategic effort to maintain a competitive edge against regional rivals. By coordinating massive capital injections from the private sector, the government aims to bolster economic growth through the development of AI data centers and robotics.
During a "3-mega-project briefing" in Seoul, the president detailed the scale of the ambition. Reports on the total investment value vary across sources, ranging from $576 billion [1] to approximately $880 billion [2]. Other estimates place the total investment at about $1 trillion [3], while some reports suggest a combined plan from Samsung and SK Hynix reaching $1.3 trillion [4].
"This plan will secure South Korea’s global leadership in AI and semiconductors," Lee said.
The blueprint relies heavily on the cooperation of the nation's largest tech firms. Samsung Electronics and SK Hynix will lead the manufacturing of next-generation chips and the expansion of infrastructure. The collaboration is designed to ensure the country does not fall behind in the global race for AI supremacy.
Han Jong-hee, CEO of Samsung Electronics, said the company is committed to supporting the nation’s AI ambitions and will invest heavily in next-generation chips.
President Lee described the announcement as a decisive step toward a smarter, more prosperous future. He said the moment is historic for the country.
***
Sources: [1] Reuters (via MSN) [2] Business Times [3] MSN (General Report) [4] Econotimes
“"This plan will secure South Korea’s global leadership in AI and semiconductors."”
This massive investment drive signals South Korea's urgency to hedge against the rapid AI advancements of competitors like the U.S. and China. By integrating government policy with the industrial might of Samsung and SK Hynix, Seoul is attempting to create a vertically integrated ecosystem that controls everything from the raw silicon to the data centers that run AI models.
