Is Micron Technology the Most Underrated Artificial Intelligence (AI) Play of the Decade?

Is Micron Technology the Most Underrated Artificial Intelligence (AI) Play of the Decade?


  • The buildout of artificial intelligence (AI) infrastructure could be a $7 trillion opportunity.

  • GPU designers are the most obvious beneficiaries of rising data center infrastructure spending.

  • Memory specialist Micron is positioned to grow alongside GPU stocks as hyperscalers continue to pour vast sums into constructing AI data centers.

  • 10 stocks we like better than Micron Technology ›

When it comes to artificial intelligence (AI) stocks, the semiconductor industry is one of the most closely followed.

Parallel processors from chip designers like Nvidia, Advanced Micro Devices, and Broadcom have become the hardware backbone of generative AI. Meanwhile, Taiwan Semiconductor Manufacturing remains perhaps the most lucrative pick-and-shovel AI trade in the market given its leading position in the chip fabrication space.

Another chip stock that has put on an impressive show throughout 2025 is Micron Technology (NASDAQ: MU) — its shares have soared 188% this year alone. After this type of rally, investors might fear they’ve missed their chance to get into the stock, but I’d encourage taking a longer-term perspective.

Because Micron is such a critical piece of the overall chip landscape, there’s a case to be made that even now, it remains an underrated AI stock.

Much of the chatter surrounding the semiconductor industry relates to how graphics processing units (GPUs) and custom application-specific integrated circuits (ASICs) are being deployed to provide processing power in data centers. For this reason, specialty players like Micron have largely been overshadowed by the likes of Nvidia, AMD, and Broadcom.

The interesting nuance to understand here, however, is that Micron doesn’t even compete with these companies. Rather, it’s positioned to grow alongside its larger semiconductor cohorts.

At its core, Micron builds memory and storage chips for electronic devices and data centers. The company’s DRAM (short-term memory), NAND (long-term storage), and high-bandwidth memory (HBM) solutions are necessary to allow the processors handling AI workloads to communicate with each other and process information efficiently across GPU clusters.

Micron building with logo.
Image source: Micron Technology.

A recent report published by management consulting firm McKinsey & Company suggests that investment in AI infrastructure could reach nearly $7 trillion over the next five years. In addition, Goldman Sachs is forecasting that the major hyperscalers — Microsoft, Alphabet, Amazon, and Meta Platforms — could spend nearly $500 billion on AI capital expenditures (capex) over the next year.



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