South Korea Bets 4.7T Won on a Sovereign AI Model It Says Will Top the World
Seoul dropped its biggest budget ever on Monday, proposing a 12.8% spending hike for 2027 that steers 4.7 trillion won into a homegrown AI model billed as the world's highest-performance. Another 21.3 trillion won goes to chips, physical AI and data centers, nearly double last year's level. Critics see a surveillance and labor problem hiding inside the ambition.
South Korea wants its own brain. The government unveiled its largest-ever annual budget on Monday, proposing to lift total 2027 spending by 12.8%, putting it at 820.9 trillion won, according to a CNBC report published Nov. 2. Artificial intelligence, semiconductors and data centers are the headline winners.
The centerpiece is 4.7 trillion won set aside to build a sovereign AI model that officials describe as the world's highest-performance. A separate 21.3 trillion won is earmarked for chipmaking, physical AI and AI data centers, nearly double the 2026 level. Officials say the point is to lean less on foreign AI systems and keep a domestic grip on the compute, data and talent that frontier models run on.
Seoul isn't alone in writing big checks. China is preparing to spend roughly 2 trillion yuan, about $295 billion, over five years on a nationwide web of interconnected data centers, according to NaturalNews. The timing looks friendly on paper: the International Monetary Fund expects South Korea's economy to grow 3.3% in 2026, its fastest clip since the post-pandemic bounce in 2021. Lee said the higher spending would mean virtually no net increase in government debt, with newly issued bonds going to repay existing debt, per a WOL report.
Not everyone is cheering. Critics argue state-backed AI programs hand government and big corporations a tighter grip on data and computing infrastructure, and privacy advocates told reporters that centralized systems raise surveillance risks while shrinking individual control over personal information. One critic pitched decentralization and user-controlled data as the safer route. Labor groups warned that wider AI deployment could push workers out and demanded retraining guarantees, according to the report.
Then there's the power bill. Industry projections cited by NaturalNews suggest AI infrastructure spending could blow past $5 trillion by 2030, with data center demand hitting 100 gigawatts, while thin grid capacity is already choking expansion. A July 2026 report noted that one ChatGPT query burns roughly 10 times the energy of a standard Google search. One analyst argued carbon dioxide benefits plant growth and that climate narratives have been used to throttle the energy AI needs.
Mike Adams has framed the fight as ownership, not benchmarks, writing in a September 2026 analysis that the central question is who gets to own that intelligence. He has pushed local, independently operated AI as the only defense against what he calls permission control, and described decentralized systems as putting knowledge directly in users' hands instead of routing it through gatekeepers in publishing, academia and government. The budget now heads to parliamentary review, where officials say procurement and performance metrics will be published. Critics want transparency and real support for open-source and decentralized alternatives.
TopicsSouth Korea · International Monetary Fund · OpenAI · ChatGPT · Anthropic · IBM · Mike Adams · China
Source: naturalnews.com
Written by Paparazzi with AI. Not financial advice.
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