After a Monster Run, Is Micron Still Worth Owning?

Micron Technology (MU 0.49%) has delivered one of the most explosive rallies in the semiconductor sector in recent months. Over the last year, Micron stock has soared 324% – handily trouncing larger artificial intelligence (AI) chip peers like Nvidia, Advanced Micro Devices, Taiwan Semiconductor Manufacturing, and Broadcom.

The catalyst? Memory and storage are the new bottlenecks amid surging AI capacity demand. Yet after such a parabolic rise, smart investors are wondering whether Micron’s growth wave still has room to run or if the stock has peaked and is already priced to perfection.

Image source: Micron Technology.

Why did Micron stock surge last year?

Micron’s ascent was not fueled by vague hype narratives. Rather, the company plays a very specific, albeit increasingly important, role in the AI chip value chain.

Model training clusters built around graphics processing units (GPUs) and AI accelerators require massive volumes of ultra-fast memory layered alongside general-purpose chip processors. Concurrently, hyperscalers are doubling down on inference servers and high-capacity solid-state drives (SSDs) to store their vast libraries of training data.

The once-cyclical memory market has suddenly started to look like a growth engine poised to ride multiyear secular tailwinds supported by accelerating AI infrastructure. This means that Micron’s high-bandwidth memory (HBM) products are swiftly transitioning from a “nice to have” to a “must-have.”

As such, Micron is commanding enormous pricing power for its DRAM and NAND products – fueling robust revenue growth in tandem with a widening gross margin.

Data by YCharts.

How sustainable is the AI memory chip supercycle?

Memory demand has traditionally reacted to upgrade cycles with PCs and smartphones. AI demand is structurally different as it’s tied to exponential growth in model sizes and data volume.

Each new generation of models requires orders of magnitude more data parameters and training tokens than its predecessor. Meanwhile, scaling inference demands low-latency access to these vast workloads.

These dynamics create a floor under memory consumption trends that did not exist previously. So long as big tech continues committing hundreds of billions to AI infrastructure annually, the memory supercycle should remain in an elevated uptrend.

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NASDAQ: MU

Micron Technology

Today’s Change

(-0.49%) $-1.82

Current Price

$366.03

Key Data Points

Market Cap

$413B

Day’s Range

$340.50 - $366.90

52wk Range

$61.54 - $471.34

Volume

2M

Avg Vol

41M

Gross Margin

58.54%

Dividend Yield

0.14%

Is Micron stock a buy?

While demand for memory solutions appears durable, there is a notable risk when it comes to investing in Micron stock. And I’m not talking about chasing momentum before a massive sell-off.

Alphabet’s recent breakthrough in lossless data compression has caused dramatic selling pressure in Micron stock over the last week. Google’s TurboQuant algorithm has demonstrated how software efficiency can substitute for hardware scale without sacrificing model training data or accuracy.

The bear narrative is that the need for NAND and DRAM could begin to erode as Google’s new compression ability reduces the level of raw data that is required to be stored and transferred between GPU clusters.

Nevertheless, I still view Micron as a high-conviction opportunity amid ongoing AI infrastructure build-outs. The caveat, of course, is that investors must be able to stomach volatility. While Micron’s monster run was real, I expect the stock’s next leg higher will be much harder won.