Chipmaker Micron (MU) may not be the new Nvidia (NVDA), but after a roughly 700% surge over the past year, it is starting to look like one of the most important AI infrastructure stocks in the market. The stock recently closed at $746.81, which equates to an $842 billion market cap, and a bull case can be made that MU stock could eventually hit $1,500 if investors stop treating it like a traditional cyclical memory company. That sounds aggressive at first, but the reason is simple: the AI bottleneck is growing.
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New trading tool for NVDA bearsFor the first stage of the AI boom, investors focused mostly on GPUs and raw compute. Now, the next pressure point is memory bandwidth, and that is where Micron’s role becomes much harder to ignore.
Why Micron Is Being Compared to Nvidia After Its 700% Surge
The comparison to Nvidia is not perfect, and it should not be taken literally. Nvidia still controls the most valuable part of the AI stack through its GPUs, CUDA ecosystem, and software advantage. However, Micron is starting to benefit from the same type of catalyst that helped Nvidia earlier in the AI boom. More specifically, the market is realizing that AI infrastructure is not only about compute. It is also about memory.
This matters because AI models do not just need more GPUs. They need faster memory close to those GPUs so data can move quickly enough to keep them running efficiently. High-bandwidth memory, or HBM, has become one of the most important parts of AI infrastructure because it helps expensive AI chips perform at full power. This is why Micron is no longer being viewed only as a commodity memory name.
It is also worth noting that demand is not just strong for HBM. Indeed, DRAM and NAND supply for data centers, PCs, smartphones, and other end markets is also tight. Micron said that quarterly revenue nearly tripled year-over-year, while DRAM, NAND, HBM, and each of its business units hit new revenue records. That does not sound like a normal memory recovery. It sounds like a company whose demand curve may have structurally changed.
Why MU Stock Could Hit $1,500 If This Cycle Is Different
And it is this demand that makes the $1,500 scenario possible. Micron reported $13.6 billion in revenue a couple of quarters ago, then $23.9 billion in Q2, which was up 196% year-over-year. However, the next-quarter forecast calls for revenue of about $33.5 billion and adjusted EPS of $18.97. Most importantly, though, Micron’s 2026 HBM4 supply is reportedly sold out under binding contracts. That gives Micron something memory investors rarely had in past cycles: visibility.
Historically, Micron’s biggest weakness was the boom-and-bust nature of memory. When demand was strong, customers ordered aggressively, producers added supply, inventories built up, prices fell, and earnings collapsed. That cycle made investors hesitant to assign Micron a premium valuation. However, three-to-five-year supply agreements change the math. They give Micron more predictable demand, while giving customers the supply security they need for massive AI infrastructure projects.
To be clear, this does not mean cyclicality is gone forever. Memory is still memory, and supply can eventually catch up. But customer behavior looks different now. AI companies, hyperscalers, and hardware makers are treating advanced memory as a strategic input rather than a cheap interchangeable component. If customers are willing to lock in supply years in advance, then Micron’s business may deserve to be valued differently than it was in past cycles.
The Valuation Case for Micron After Its 700% Surge
After a 700% surge, Micron does not look cheap on the chart, but the earnings multiple tells a different story. At around $746 per share, the company’s market cap was already roughly $842 billion, which means the path to $1 trillion is no longer some far-off fantasy. It would only require about 19% upside from that level. The bigger question is whether Micron can eventually justify a $1.5 trillion to $1.7 trillion valuation, which is what a $1,500 stock price would imply if the share count stays roughly similar.
Even after the rally, Micron is trading at roughly 12x forward earnings, which is low compared with many AI infrastructure stocks. If Micron can sustain something close to a $75 to $100 EPS run rate, then a $1,500 stock would imply roughly 15x to 20x earnings. That is not unreasonable for a company with tight supply, record margins, multi-year contracts, and a growing role in AI infrastructure, especially when considering that Micron’s average P/E ratio over the past 5 years has been around 17x.
The risk is durability. If investors believe 2026 and 2027 are peak-cycle years, Micron probably will not get a Nvidia-like re-rating. But if the market decides AI has permanently changed memory demand, then Micron could be valued less like a commodity chipmaker and more like a strategic AI supplier. That is the real debate now. Micron does not need to become Nvidia to keep working as a stock. It just needs investors to believe that this memory cycle is no longer the same as before.
Wall Street’s Take
Turning to Wall Street, analysts have a Strong Buy consensus rating on MU stock based on 27 Buys, three Holds, and zero Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average MU price target of $581.89 per share implies 22.1% downside risk.
