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Memory chipmakers join the trillion-dollar club amid AI boom

By Editorial Team · Published May 27, 2026 · 2 min read · Source: Crypto Briefing
RegulationAI & CryptoMarket Analysis
Memory chipmakers join the trillion-dollar club amid AI boom

Memory chipmakers join the trillion-dollar club amid AI boom

Samsung, Micron, and SK Hynix have each crossed the $1 trillion market cap threshold within days of each other, collectively worth nearly $3 trillion.

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Add us on Google by Editorial Team May. 27, 2026

Samsung Electronics, Micron Technology, and SK Hynix have each surpassed $1 trillion in market capitalization in May 2026, propelled by insatiable demand for the high-bandwidth memory chips that power artificial intelligence systems. Together, the trio now commands a combined valuation approaching $3 trillion.

Three trillion-dollar milestones in rapid succession

Samsung was the first to cross the threshold earlier in May, becoming only the second Asian company to reach a trillion-dollar market cap after TSMC.

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Micron Technology followed on May 26, briefly touching the $1 trillion mark after its share price surged more than 18%. The catalyst was a price target upgrade from UBS analysts.

SK Hynix completed the trifecta the very next day, May 27, with shares climbing between 9% and 15% in a single trading session.

Why memory chips became AI’s secret weapon

Samsung, Micron, and SK Hynix are the three companies that dominate global HBM production. When every major tech company on the planet is racing to build AI data centers, and every data center needs HBM, the math gets very favorable very quickly for this trio.

Micron’s CEO has indicated the company sold out its entire HBM supply capacity for 2026. Analysts tracking these firms now describe HBM supply as projected to remain sold out through the remainder of the year, giving all three companies strong forward visibility.

The end of the memory chip cycle?

Analysts are now reassessing these firms not as cyclical commodity producers but as structural beneficiaries of a multi-year AI buildout. Cyclical companies trade at lower multiples because their earnings are unpredictable. Structural growth companies trade at premiums because their earnings trajectories are more durable.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
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