Memory Chips Take Center Stage in the AI Growth Cycle

The memory chips and AI growth

The global rush into artificial intelligence is entering a different phase, and you can see that shift reflected in where analysts are now looking across the semiconductor market. After years of focus on processors that power AI models, attention is increasingly moving toward the memory and storage hardware needed to support them.

Analysts say this change marks an important moment in what many are calling the AI Supercycle 2026. As AI models grow larger and more complex, the amount of data they rely on has increased sharply. That growth has created pressure not just on computing power but also on the systems required to store and move vast amounts of information inside servers and data centers.

According to DA Davidson analyst Gil Luria, the industry is still early in this memory cycle. He said recent progress in AI models has made memory the next major bottleneck, noting that demand is rising across chips, servers, and entire data center installations. As a result, companies focused on memory are becoming increasingly important to the broader AI buildout.

That view helps explain why Micron Technology has moved into the spotlight. The Idaho-based chipmaker has seen its stock surge roughly 240 percent over the past year, yet analysts continue to describe its valuation as relatively low compared with both the broader market and leading AI chip designers. Micron currently trades at a forward earnings multiple well below the S&P 500 and Nvidia, a gap that has drawn attention from value-focused investors.

Micron’s growing role in high-bandwidth memory has reshaped how analysts view the company. HBM is a specialized form of DRAM used heavily in AI training, where speed and data throughput are critical. Micron recently projected that the total addressable market for HBM could reach $100 billion by 2028, reflecting how central memory has become to the AI hardware stack.

Analysts point out that producing HBM is complex and resource-intensive. That complexity has redirected manufacturing capacity away from traditional memory products like smartphone chips and flash storage. The result has been tighter supply, stronger pricing, and improved margins for producers such as Micron. For now, those dynamics are helping support the stock’s momentum.

While Micron is a key U.S. name in the space, many analysts see South Korea’s SK Hynix as the current center of the memory boom. The company is the primary supplier of HBM to Nvidia and holds a dominant share of the market as of late 2025. That position places SK Hynix at the heart of AI infrastructure spending tied to Nvidia’s platforms.

At the same time, analysts note that SK Hynix’s leadership brings risks. Its dominance has created capacity constraints, particularly as demand grows for the next generation of AI memory. If the company struggles to meet demand for newer products, it could face competitive pressure. Even so, forecasts suggest SK Hynix could expand its market share further in 2026 as Nvidia rolls out new AI systems.

A less obvious but increasingly discussed name is Sandisk. Since its separation from Western Digital, Sandisk’s stock has climbed sharply, reflecting renewed interest in long-term storage solutions. While much of the AI conversation revolves around DRAM, analysts say NAND flash is becoming more important as AI moves closer to end users.

This shift is tied to what analysts describe as “AI at the edge,” where processing and storage happen locally rather than exclusively in centralized data centers. Devices such as robots and autonomous vehicles rely on fast, reliable storage to handle data in real time, a trend that supports Sandisk’s position in the market.

Despite the optimism, analysts caution that memory remains a commodity business. Unlike companies with proprietary software ecosystems, memory suppliers compete in a market where products can often be substituted. That makes pricing power harder to sustain once supply shortages ease.

Luria warned that major customers can shift orders between suppliers from year to year, which limits long-term stability. He said that while current bottlenecks are driving strong performance, those conditions may not last indefinitely.

For now, however, investors appear willing to overlook those longer-term risks. Analysts say tight supply conditions are dominating market behavior, supporting higher prices and strong earnings momentum across memory producers. From a shorter-term investment perspective, that environment continues to favor companies exposed to AI-driven demand.

As the AI supercycle evolves, analysts expect volatility to remain part of the picture. Capacity expansion, shifting customer needs, and rapid technological change all have the potential to reshape the market. Still, the current focus on memory highlights how the next stage of AI growth is changing priorities across the semiconductor industry.

For investors watching the Business and Finance landscape heading into 2026, analysts say the takeaway is clear. The AI boom is no longer just about processors. It is increasingly about the infrastructure that supports them, and memory makers now sit at the center of that transition.

This content was adapted from an article in Yahoo