美光万亿市值背后，是AI基础设施从算力到内存的转折点——做AI部署、推理优化或数据中心架构的团队，需要关注HBM如何成为新瓶颈。
美光科技因AI对高带宽内存（HBM）的强劲需求，市值突破1万亿美元，而12个月前仅为700亿美元。HBM作为紧邻加速器的内存，以极高速度向芯片输送数据，成为AI增长的关键约束。随着AI智能体、大模型和推理工作负载的爆发，内存取代模型成为新的瓶颈。UBS将美光目标价从535美元上调至1625美元，认为长期供应协议和部分固定定价可能使内存收益波动性降低。
Micron, the memory-maker for AI, just became a $1T…
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