SK Hynix has drawn a wave of assertive proposals from major technology customers aiming to lock in supplies of memory chips as demand rises with the expansion of artificial intelligence, people familiar with the discussions said.
The approaches cover several structures. Some proposals envisage direct investments in memory production - effectively funding dedicated manufacturing lines - while others would provide financing for purchases of manufacturing equipment. A commonly cited example of the latter is ASML's extreme ultraviolet (EUV) lithography systems, which are used to inscribe circuits on silicon wafers and carry price tags in the hundreds of millions of dollars.
Company insiders say SK Hynix is treating these offers with caution despite holding robust cash reserves. The concern is that accepting customer funding could reduce the company's strategic flexibility by creating obligations to favored buyers, and could require supplying chips at discounted prices in exchange for guaranteed revenues over longer terms.
SK Hynix is not unique in benefitting from the surge in demand for advanced memory. Samsung Electronics and Micron have also experienced a marked increase in orders as businesses accelerate construction of data center capacity. Memory chips are a crucial element for advanced AI processors, and the rising need for such processors has pushed demand for the associated memory components higher.
The proposals under consideration differ in structure and duration, and company officials are weighing the trade-offs inherent in taking partner capital. On one side is the benefit of immediate, de-risked demand and potential support for heavy capital expenditure; on the other side is the risk of long-term commercial constraints and price concessions tied to financing arrangements.
As SK Hynix evaluates these offers, the company faces the decision of whether to preserve full strategic autonomy by relying on its cash reserves, or to accept external capital that could accelerate capacity build-out but carry contractual conditions. The outcome of these deliberations could shape how the company meets the AI-driven demand surge without compromising its pricing and customer mix.