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DongA Ilbo: SK Hynix gained ~$15B on its Kioxia stake earlier in 2026, and plans to return ~$12B to shareholders via a special dividend

SK Hynix Inc.'s shares bucked a broad selloff in AI-related stocks thanks to the prospect of a large dividend payout related …

Bloomberg

Context & Ripple Effects

SK Hynix entered the October selloff after a run of record financial results tied to AI HBM demand, including record fourth-quarter revenue and operating profit in early 2026. Management had already made shareholder returns a central response to concerns over the durability of AI spending, with a planned $29 billion treasury-share buyback and cancellation.

The reported Kioxia proceeds add a separate source of distributable capital: an investment gain rather than operating cash flow. That distinction matters as SK Hynix weighs returning cash to investors while AI-linked memory demand and chip valuations face sharper scrutiny.

First-order effects

  • The reported roughly $12 billion special dividend would transfer most of SK Hynix's reported gain from reducing its Kioxia holding directly to shareholders.
  • SK Hynix would pair a one-off cash distribution with its planned buyback, broadening its shareholder-return toolkit during a period of pressure on AI-related chip stocks.

Second-order effects

  • Investors would have a clearer basis to separate SK Hynix's operating performance from the realized value of its Kioxia investment when assessing the company’s capital returns.
  • Kioxia’s reduced role in SK Hynix’s investment portfolio makes the latter’s AI-memory earnings and capital-allocation decisions more central to its equity case.

Third-order effects

  • If large AI-memory producers continue to convert investment gains and peak-cycle cash generation into distributions, capital returns may become a more prominent counterweight to concerns about the durability of AI infrastructure spending.
  • The pattern points to a memory-industry divide between companies able to fund both aggressive capacity needs and shareholder payouts, and those without comparable AI-driven profitability.

The trend: AI-memory leaders are using exceptional cycle profits and portfolio gains to reinforce shareholder returns as investors test the staying power of AI infrastructure spending.