Micron Technology (NASDAQ: MU) just delivered an extraordinary quarter.
Fiscal fourth-quarter revenue reached $54.2 billion, up from $11.3 billion a year earlier. Earnings per share surged to $32.9 from $2.8 a year earlier. Even more striking, Micron expects revenue to reach approximately $61.5 billion in its fiscal first quarter of 2027, with earnings of about $37.80 per share.
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But the most important part of Micron’s latest earnings call wasn’t a record number. It was a sentence about what comes next: “Industry demand has strengthened since our last earnings call, and we expect memory and storage supply demand conditions to be much tighter in fiscal 2027 and 2028 than they were in 2026.”
If management is right, investors may be making a mistake by treating Micron’s current earnings as the cycle peak. The stronger possibility is that Micron’s best years may still be ahead.
Investors may be looking at the wrong year
Memory is a notoriously cyclical business. When demand exceeds supply, prices rise, and manufacturers make enormous profits. Those profits encourage companies to build more capacity. Eventually, supply catches up, prices fall, and profits can collapse. That’s why investors have been cautious about valuing Micron based on today’s earnings.
But management’s latest forecast challenges that traditional playbook. Micron isn’t saying supply-demand conditions will gradually loosen after the current boom. It’s saying they could become even tighter in fiscal 2027 and 2028.
That’s a remarkable statement considering how tight the market already is. It raises a very different question: What if 2026 isn’t the peak? If that’s true, investors might have understated the company’s prospects.
AI is changing the demand equation
The simplest explanation why 2026 may not be the peak is that demand is growing faster than the industry can add supply. And aritifical intelligence (AI) is a major reason.
Modern AI systems require enormous amounts of memory and storage. As AI models become larger and more capable, the amount of memory required by the computing infrastructure supporting them also increases.
Meanwhile, adding new memory production takes years. Manufacturers need to build fabs, install specialized equipment, and qualify new production.
