
Nvidia, of course, enjoys the present vogue. One observes its ascendance with a certain detached amusement, a planetary dominance built on the insatiable appetite of the digital age. But even empires, however silicon-based, are subject to the laws of diminishing returns. The discerning investor, therefore, casts an eye towards the supporting players, those companies poised to benefit from the inevitable correction – or, at least, to offer a modicum of diversification.
Enter Micron Technology. The shares, having performed with a vulgar exuberance – a 317% ascent in the last twelve months, one is reliably informed – suggest a degree of speculative frenzy. Yet, beneath the froth, there exists a genuine opportunity. The company, a purveyor of memory chips, finds itself, rather conveniently, at the heart of the generative AI boom.
The Necessities of Calculation
Nvidia’s graphics processing units, one gathers, are the current darlings of the algorithmic world. They perform the complex calculations demanded by these digital intelligences. But such calculations, however ingenious, are utterly reliant on memory. Micron’s chips, therefore, are not merely ancillary; they are fundamental. They store the vast quantities of data required for training, and provide the working memory necessary for rapid access. It is a symbiotic relationship, though one suspects Nvidia enjoys a considerably more advantageous position.
The major technology companies, naturally, are engaging in a rather ostentatious display of financial muscle. Goldman Sachs estimates spending could exceed $500 billion in 2026, a figure which, given the prevailing mood of excess, seems almost modest. Recent announcements from Alphabet and Amazon suggest a total capital expenditure closer to $700 billion. Such profligacy, while regrettable, does, of course, present opportunities for those companies capable of supplying the necessary hardware.
A Numerical Comparison
Nvidia, in its most recent quarter, reported revenue of $57 billion, with a gross margin of 73.4%. These figures, while impressive, are, one suspects, unsustainable. Micron, by comparison, reported revenue growth of 57%, with a gross margin of 57%. The disparity is, admittedly, significant, but it is largely attributable to the differing natures of the two businesses. Micron’s strength lies in the cloud service segment, where it sells high-bandwidth memory devices for AI data centers.
The price of high-bandwidth memory, one understands, commands a premium. Furthermore, reports suggest a shortage of these chips, a situation which, while inconvenient, is, from a shareholder’s perspective, decidedly advantageous. Micron is responding by investing heavily in new production capacity, a $200 billion build-out of dynamic random access memory. One hopes they do not overreach.
The Inherent Instability
In the short term, one anticipates a convergence of financial performance between Nvidia and Micron. Both companies will benefit from the current frenzy. However, the long-term outlook is rather more uncertain. Nvidia has established a considerable economic moat around its chips, largely through advanced designs and the proprietary programming interface, CUDA. Memory chips, by contrast, are largely commoditized. It is difficult to differentiate one from another, and production capacity tends to rise in tandem with demand, leading to predictable boom and bust cycles.
Micron’s investment in new capacity suggests they are aware of this inherent instability. They may be aiming to boost market share and secure long-term scale advantages. A sensible strategy, perhaps, though one cannot help but recall the cautionary tales of overexpansion.
The current valuation of Micron is, at least, attractive. A forward-price-to-earnings multiple of just 12.5, compared to Nvidia’s 24, suggests the market has priced in the long-term uncertainty. There is, one suspects, room for continued growth. A speculative venture, certainly, but not entirely without merit. One might, with a degree of cautious optimism, consider a purchase.
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2026-02-12 23:53