As the artificial intelligence wave enters its third year, the industry is giving rise to a new gold rush. Generative AI workloads are no longer constrained solely by raw computing power and capacity demands; the new bottleneck facing current AI infrastructure economics is memory. Against this backdrop, Micron Technology is coming into market focus due to its leading position in high-bandwidth memory chips.
When OpenAI publicly launched ChatGPT on November 30, 2022, Nvidia’s market capitalization was just $345 billion. Today, the company has become the world’s most valuable publicly traded company, with a market cap soaring to $4.6 trillion. Nvidia’s rise was fueled by its early-mover advantage in the graphics processing unit field, and a similar explosive opportunity is now brewing in the memory market.
A Goldman Sachs report released last December predicted that AI-related capital expenditure by hyperscalers could reach $500 billion by 2026. Considering Meta Platforms’ plans to invest up to $135 billion in AI capital expenditure this year, that forecast even appears conservative. While data centers continue to deploy the latest GPUs, accelerators, and networking equipment, another segment within the chip sector is poised for exponential growth.
Autonomous AI products, automated systems, and robots are driving the expansion of AI model training and inference deployment. From a budgeting perspective, developers can no longer simply concentrate excessive funds on general-purpose chips. Instead, the expanding AI workloads demand enhanced memory and storage solutions. According to TrendForce forecasts, DRAM and NAND chip prices could rise by 60% and 38%, respectively, in the coming months.
This market dynamic gives Micron strong pricing power, as customers scramble to procure high-bandwidth memory solutions to optimize their existing chip stacks. As an industry leader in high-bandwidth memory chips, Micron has achieved nearly a tenfold increase in market value during this AI revolution, with most of the gains occurring over the past six months.
Despite such a rapid surge, Micron’s valuation remains within a reasonable range—its forward price-to-earnings ratio is only 14x. In comparison, companies dominating other segments of the AI chip and data center market typically trade at forward P/E ratios two to three times that of Micron.
Compared to Nvidia’s market capitalization at the time of ChatGPT’s launch, Micron’s current market value still shows a significant gap. While Micron may not surge another tenfold from current levels to become the “next Nvidia,” supported by the long-term tailwinds driving its growth, the company is on the cusp of its “Nvidia moment,” poised for a new breakthrough. As demand for high-bandwidth memory begins to surge, Micron is becoming a key stock to watch within the chip sector.
