AI Supply Chain Tightens: Chip Push from South Korea, Record Profit for Samsung

The artificial intelligence ecosystem is at the center of a massive supply chain crisis and capital race around the globe. South Korean President Lee Jae-myung warned his officials that the country must act much faster to maintain its supremacy in the global chip and AI market. The success of the massive investment plan announced last week, which exceeds 576 billion dollars, is seen as dependent on permitting processes, land procurement, and especially basic infrastructure not being delayed. To support this move, the government aims to establish a "Future Response Fund" with extra tax revenues generated from the semiconductor boom to reduce the country's social and economic divide. Ensuring the smooth provision of critical infrastructure such as electricity and water stands out as the most crucial step in realizing this vision.

The overwhelming demand for memory chips has essentially blown up Samsung Electronics' financial results. The company's second-quarter operating profit is expected to reach 86 trillion Won, increasing exactly 18 times compared to the same period last year. This tremendous growth is not limited to high-bandwidth memory (HBM) used to train AI models; it is also strongly fueled by rising demand in traditional DRAM and NAND storage. Experts point out that with AI applications evolving into "agentic" AI systems that perform more complex, multi-step, and autonomous tasks, memory requirements have reached colossal proportions. Analysts anticipate that the current supply shortage and memory chip scarcity will likely continue until the year 2027.

On the AI hardware side, Nvidia is facing production bottlenecks in advanced server systems. According to statements from the research organization SemiAnalysis, the launch of the company's next-generation Kyber NVL144 architecture, which combines 144 high-level processors in a single server rack, has been delayed. The main reason is the severe difficulties in manufacturing the multi-layered printed circuit boards (PCBs) that connect the electronic modules within the system. This delay proves that in the race for AI supremacy, speed is closely tied not only to chip design but also to rack manufacturing and overall system integration. The postponement of the Kyber system to the year 2028 reveals how fragile the industry is while trying to meet massive infrastructure demands.

Strategic partnerships between chip manufacturers and tech giants are also rapidly shifting to increase competitiveness. According to South Korean media reports, Meta is working on a deal exceeding 10 trillion Won with Samsung to produce the third generation of its self-designed AI accelerators, MTIA. Having previously sourced its chips from TSMC, Meta reportedly plans to rely on Samsung's advanced 2 nanometer manufacturing technology for this new initiative. Meanwhile, SK Hynix, the leader in the HBM market, has also initiated a massive U.S. share sale plan worth approximately 28 billion dollars to capitalize on AI investments. This public offering, which will be listed on Nasdaq, will enable the company to integrate more deeply into U.S. capital markets and finance new factory investments.

Developments in the tech world are not limited to hardware and manufacturing capacity; companies are beginning to control the costs of AI tools and create new digital ecosystems. For instance, Tesla demonstrated the need to manage costs by implementing a new policy limiting its employees' weekly spending on third-party AI tools to 200 dollars. Giants like Uber, Meta, and Walmart are also imposing similar budget limits on their personnel's AI usage. At the same time, Elon Musk's social media platform X is expanding its financial tools called "X Money", which offer users money transfer and payment services. This "super app" vision, which stands out with its high interest rates and cash-back options, aims to become widespread globally, but it remains to be seen how successful it will be due to strict regulations and security concerns.