Nvidia's $500 Billion Korean Gambit: Inside the AI Chipmaker's High-Stakes Balancing Act

Nvidia's $500B SK partnership and circular investments raise questions ahead of August 26 earnings: virtuous cycle or risk?

The arithmetic of artificial intelligence has grown so large that it now defies conventional corporate logic. Nvidia, the Santa Clara chipmaker that has become the bellwether for the AI boom, is simultaneously orchestrating partnerships worth half a trillion dollars, financing its own customers, and watching its own executives quietly cash out millions in stock. The question hanging over the company as it approaches its August 26 earnings report is whether this extraordinary expansion is a virtuous cycle or a house of cards.

The Korean Colossus

The most striking development came this week when Nvidia and South Korea's SK Group unveiled a partnership valued at more than $500 billion, according to Bloomberg. The centerpiece is a two-gigawatt AI factory to be built by SK Telecom, equipped with Nvidia's forthcoming Vera Rubin platform, with the first facility slated to come online in 2027. SK hynix, meanwhile, will collaborate with Nvidia on developing the next generation of high-bandwidth memory chips — a critical component that has become one of the tightest bottlenecks in the AI supply chain.

The scale is almost incomprehensible by historical standards. For context, the entire global data center market was estimated at roughly $250 billion just a few years ago. Nvidia and SK Group are proposing to build AI infrastructure worth twice that amount in a single partnership. The arrangement also signals a strategic shift: Nvidia is no longer content to simply sell chips — it is now actively co-developing the memory technology that its own processors depend on, effectively integrating vertically into its supply chain.

A Pattern of Circular Investment

The SK deal is not an isolated gambit. Days earlier, on July 29, Nvidia announced a long-term partnership with Safe Superintelligence, the AI startup founded by former OpenAI chief scientist Ilya Sutskever. Bloomberg reported that Nvidia has invested approximately $5 billion in the company, which will gain access to the Vera Rubin platform. In South Korea, Nvidia is putting $1 billion into sovereign AI infrastructure, with Brookfield contributing up to $9 billion under a non-binding framework agreement and Naver covering the remainder of a $10 billion project. The DSX factory being built with Naver and Brookfield is slated to expand from an initial 55 megawatts to 200 megawatts by 2028.

The pattern is unmistakable: Nvidia invests in its customers, secures access to scarce components, and creates demand for its own products. The line between supplier and investor has all but disappeared. But this circular financing model has attracted scrutiny. On July 31, reports emerged that Nvidia was in talks with OpenAI about a $250 billion backstop to help the AI company lease computing capacity for a US data center project. That same day, the stock fell roughly five percent, dragging the entire chip sector down with it — and Nvidia ceded its title as the world's most valuable publicly traded company to Apple.

Insiders Sell While the Stock Climbs

Adding another layer of complexity is the behavior of Nvidia's own leadership. Over the past 90 days, insiders have executed 13 transactions — all sales — totaling approximately $767.2 million, according to screening data cited by Yahoo Finance and BeInCrypto. That follows a prior three-month period in which insider sales amounted to roughly $410 million. While such selling is often attributed to routine portfolio diversification, the persistence of the pattern at a time when the stock is trading 7.21 percent above its 50-day moving average gives even bullish observers pause.

The stock's recent trajectory has been robust despite these headwinds. Shares closed Thursday at €189.82, up more than nine percent from a week earlier, though still about six percent below the 52-week high. By Friday, the stock had climbed further to €192.18, a gain of 1.24 percent on the day and 10.37 percent over the past seven trading sessions — bringing it within nearly five percent of its 52-week peak.

The China Question and the Skeptics

Beneath the surface of the growth narrative lies a geographic vulnerability that has been building for months. According to a report from late June, Nvidia's revenue contribution from China in its data center business has effectively fallen to zero amid tightened export controls — a dramatic reversal from a year earlier, when the country contributed billions. The shortfall has been offset by the sheer scale of US and Asian orders, but the loss of an entire market remains a structural risk that no amount of Korean megadeals can fully erase.

That risk has not gone unnoticed. Star investor Michael Burry pointed Tuesday to a potential demand shortfall of $250 billion — precisely the scale of the OpenAI negotiations. Yet despite such warnings, 36 analysts currently rate the stock a buy. The gap between euphoria and skepticism has rarely been narrower.

The August 26 Reckoning

The real test arrives on August 26, when Nvidia reports results for the second quarter of fiscal year 2027, which ended in late July. The market is anticipating revenue of approximately $91 billion. In the previous quarter, the company posted record revenue of $81.6 billion, up 85 percent year over year, with the data center business surging 92 percent to $75.2 billion. Management also announced an additional $80 billion share buyback program and raised the quarterly dividend from $0.01 to $0.25 per share.

The question that will define the earnings call is no longer whether Nvidia can deliver — the company has proven that repeatedly. The more pressing concern is whether the customers financing these vast data center projects can sustain the pace. With $500 billion in Korean partnerships, a $250 billion OpenAI backstop under discussion, and billions more flowing into startups and infrastructure projects around the globe, Nvidia has effectively become the architect of its own demand. Whether that architecture holds will determine not just the stock's trajectory, but the fate of the entire AI industry.