SK Hynix Inc. is seeing demand for its $28 billion U.S. share sale exceed available shares by more than seven times [1, 2].

The surge in interest highlights the critical role of the South Korean memory chipmaker in the global artificial intelligence supply chain. As AI-related semiconductor demand grows, investors are positioning themselves to benefit from the hardware that powers these systems.

The company launched the U.S. listing on July 6, 2026 [3]. The sale of American Depositary Receipts (ADRs) on the Nasdaq aims to raise 43 trillion won, or approximately $28 billion [1, 3]. While some reports place the potential raise at more than $26 billion [4], the primary target remains the higher figure.

"Demand for SK Hynix's $28 billion U.S. share sale was more than seven times available shares," a person familiar with the matter said [1].

Early indications of interest for the listing reached up to $7 billion from major investors [3]. According to a source cited by Bloomberg News, the offering has drawn robust interest from global long-only funds and technology-focused investors [2].

Pricing for the shares is set for Thursday, July 11, 2026 [3]. The high level of oversubscription suggests the company may have significant leverage in finalizing the price of the ADRs, a move that could maximize the capital raised for future AI infrastructure investments.

This listing serves as a major test of Wall Street's appetite for memory stocks, which have historically been more volatile than general logic chips [4]. However, the current AI wave has shifted the perception of memory components from commodity hardware to essential strategic assets [1, 2].

“Demand for SK Hynix's $28 billion U.S. share sale was more than seven times available shares”

The extreme oversubscription of the SK Hynix ADR sale signals a shift in investor sentiment toward memory chip manufacturers. By moving toward a U.S. listing, the company is not only seeking massive capital—potentially $28 billion—but is also aligning its valuation with the AI-driven growth seen in U.S. tech giants. This suggests that the market now views high-bandwidth memory as a primary bottleneck and growth driver for the entire AI industry.