Micron, the memory-maker for AI, just became a $1T company because AI’s next shortage is memory, not models.
12 months ago, it was worth just $70 billion.
GPUs get most of the attention, but HBM has become the part that keeps them useful.
AI agents are making memory the new bottleneck of AI, because the smartest systems are useless when data cannot reach the chips fast enough.
High-bandwidth memory, or HBM, sits close to the accelerator and feeds it data at extreme speed, which is why it has become one of the quiet constraints behind AI growth.
The old semiconductor story was about who had the best logic chip.
The new one is about whether the whole machine can keep its data flowing fast enough for agentic AI, large models, and inference-heavy workloads.
UBS research also raised Micron’s target from $535 to $1,625 because long-term supply deals with partly fixed pricing could make memory earnings less cyclical than before.
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cnbc. com/amp/2026/05/26/micron-stock-trillion-market-cap.html
