It has been a historic period for memory and storage stocks. Once relegated to a bucket of lowly valued "commodity" stocks, the agentic AI revolution has spurred an absolutely massive increase in memory and storage demand. Not only has demand increased, but the technology has also evolved from an interchangeable commodity to a strategic enabler for AI systems.
The agentic era has therefore spurred massive stock price increases for memory and storage giants Micron (NASDAQ: MU), SK Hynix (NASDAQ: SKHY), and Sandisk (NASDAQ: SNDK). This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia.
For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue » However, those huge gains gave way to a big pullback in July because of profit-taking, fears of more efficient models from China, short-seller skepticism, and the "blow-up" of the AI-focused hedge fund Situational Awareness. Even after a bounce back in August, these stocks remain 15% to 30% below their June highs.
Is the recent pullback a harbinger of more pain and a "bubble bursting," or an opportunity to buy the dip? Last week, Elon Musk wrote a three-word sentence on his social media that strongly points to the latter. Last week on X, a private technology executive noted, "Memory, not compute, is the rate limiter of the Agentic Era," to which Elon Musk replied, "Few realize this." In the first wave of generative artificial intelligence, the environment was dominated by simple questions or prompts directed at the AI system, which would then find the answer.
That relatively simple AI application places a lot of onus on the GPU and its massively parallel-processing capabilities. However, in the agentic AI era, in which AI is tasked with planning and executing tasks independently, the game has changed. Now the focus has pivoted to planning, thinking, data retrieval, testing, and retesting agentic outputs.
That has exponentially expanded CPU-heavy "planning" tasks. Not only that, but each "task" also requires vast amounts of storage and memory. In a recent blog post from Micron, the company wrote that every single agent instance requires: State and KV/context staging -- keeping track of where it is in its reasoning loop.
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