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Markets Score 62 Bullish

AI Trade Evolves as High-Bandwidth Memory Takes Center Stage

Apr 23, 2026 09:00 UTC
MU, 000660.KS, 005930.KS
Medium term

Investors are shifting focus from GPU dominance toward the critical memory infrastructure powering AI data centers. SK Hynix, Samsung, and Micron are emerging as key beneficiaries of this structural shift.

  • AI investment is diversifying beyond Nvidia's GPU dominance
  • Memory capacity and speed are becoming critical for complex AI models
  • SK Hynix has introduced 12-layer HBM4 memory chips
  • Market concentration remains high among SK Hynix, Samsung, and Micron
  • Memory is now a primary target for targeted AI semiconductor exposure

The initial phase of the artificial intelligence investment cycle was characterized by a narrow focus on compute power, primarily dominated by Nvidia. However, as data center expansions accelerate and AI models grow in complexity, the market is recognizing a critical bottleneck: memory. High-bandwidth memory (HBM) has transitioned from a niche component to a strategic asset. The ability to move data quickly between memory and the processor is now as vital as the processing power itself, bringing long-overlooked semiconductor segments back into the spotlight. SK Hynix has already showcased its 12-layer HBM4 memory chips, signaling a push toward higher density and performance. This technological leap is essential for the next generation of AI workloads that require massive datasets to be processed in real-time. The memory landscape is controlled by a small oligopoly consisting of SK Hynix, Samsung, and Micron. As demand for HBM4 scales, these firms are positioned to capture a larger share of the AI value chain, offering investors a more diversified way to play the AI buildout beyond the GPU.

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