Nvidia vs. Micron: Which Is the Better Artificial Intelligence (AI) Semiconductor Stock to Own for the Next 5 Years?
- NVDA
- MU
Between 2023 and 2025, Nvidia (NASDAQ: NVDA) was the market’s most obvious artificial intelligence (AI) trade. During this period, the stock went parabolic, surging by 1,180% and turning the chipmaker into the world’s most valuable company by market cap. On a split-adjusted basis, that was a climb from about $14 per share to $186 by the end of 2025.
Currently, Nvidia stock sits around $218, up another 17% year to date. This is what it looks like when a company owns a scarce product that’s in heavy demand — in this case, graphics processing units (GPUs).
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Micron Technology‘s (NASDAQ: MU) rocket-like move came a bit later, but hit much harder. Memory chips were an afterthought during the initial GPU gold rush. But as training clusters got larger and inference workloads got hungrier, supplies of high bandwidth memory (HBM) started running short. Prices for HBM soared, and Micron stock responded epically — rising 239% in 2025 and another 242% so far this year. This type of price action indicates the market has recognized that memory is no longer just another tech commodity — its supply is one of the key bottlenecks dictating the pace at which data centers can be built.
Nvidia and Micron are not the same bet. While Nvidia sells engines, Micron is selling the tanks for the fuel these engines cannot operate without. This begs the question: At this point, which of these AI chip stocks would be the better one to buy and hold for the next five years?
Nvidia is more than a GPU designer
AI development is no longer just about who can procure the most GPUs. Nvidia understands this shift, and has spent the last couple of years trying to own the whole AI factory — from compute, networking, optics, and software to even some of the customers that rent capacity. This is what makes Nvidia’s partner ecosystem so important.
Marvell Technology received a $2 billion investment from Nvidia and a seat inside NVLink Fusion. This integration allows Marvell’s custom accelerators to plug directly into Nvidia’s rack-scale stack, rather than competing with it. Meanwhile, Coherent and Lumentum each received $2 billion checks from Nvidia in addition to purchase commitments to scale their lasers and silicon photonics — hardware that provides greater bandwidth and reduced latency, and keeps today’s ever-larger server clusters from choking on the limitations of copper.
