Memory chips now power AI infrastructure
Micron Technology, a major manufacturer of memory chips, has shifted its focus from the cyclically volatile smartphone and PC markets to high-bandwidth memory (HBM) and NAND chips used in AI data centers. These chips are essential components for processors like those produced by Nvidia, which drive the complex computations required for AI training and operations.
High-bandwidth memory chips are used to manage active GPU computations, while NAND chips are crucial for bulk data transfers. As demand for AI infrastructure surges, Micron has redirected its manufacturing efforts to meet the growing need for these specialized memory solutions. This shift has caused the company to scale back on traditional memory chip production, such as those for consumer electronics.
Supply constraints are inflating chip prices
Micron and its competitors are struggling to match the rapid demand for AI-driven memory chips, which has led to a shortage of conventional DRAM and NAND chips. As a result, the prices of these traditional memory chips have increased, along with the prices of HBM and NAND chips used in AI applications. This shortage is not limited to Micron; the entire industry is grappling with capacity constraints that make it difficult to meet rising demand.
Looking ahead, analysts expect Micron’s revenue to rise significantly. In fiscal 2025, which ended last September, the company recorded $37.4 billion in revenue. Projections suggest that number could jump to $263.8 billion by fiscal 2028. Similarly, net income is expected to grow from $8.5 billion to $182 billion in the same timeframe. Such an increase would reflect the company’s transition into the high-margin AI memory market.
Micron could remain undervalued amid AI growth
Even with its recent 720% stock surge over the last year, Micron remains relatively undervalued compared to other high-growth tech stocks. Currently, the stock trades at just 12 times this year’s earnings, which is significantly lower than the 23 times valuation for Nvidia, a company that is expected to see slower revenue and profit growth. This discrepancy suggests that the market has not yet fully recognized Micron’s long-term potential in the AI space.
The company is investing in manufacturing capacity across key regions, including the U.S., Taiwan, and Singapore. These efforts are aimed at expanding its ability to produce AI memory chips and meet growing demand. Additionally, Micron is securing long-term strategic agreements with major enterprise clients through 2030. These contracts include fixed pricing bands with a high price floor, which should help the company maintain stable profits even if memory chip prices decline in the future.
These strategic moves, combined with the ongoing AI-driven demand for memory chips, could propel Micron’s stock higher in the coming years. Investors are beginning to take notice, and the company’s current valuation may provide room for further growth as the AI market continues to expand.