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Just For You
Memory Wipe: The Great TurboQuant MiscalculationSubmitted by Jeffrey Neal Johnson. Date Posted: 4/1/2026. 
Key Points
- The recent panic over data-compression technology misunderstands that such software breakthroughs historically drive even greater demand for hardware.
- Foundational memory and storage companies continue to see strong, real-world demand driven by the unstoppable expansion of data centers for artificial intelligence.
- Investing in the essential equipment makers offers a strategic way to participate in the entire semiconductor buildout, regardless of which individual chip types lead the market.
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The artificial intelligence (AI) boom has been a powerful engine for the stock market, rewarding investors who targeted the companies building its foundation. Yet a sudden, sharp selloff recently hit the semiconductor sector: industry leaders like Micron (NASDAQ: MU) and Western Digital (NASDAQ: WDC) pulled back from recent highs. The downturn wasn’t triggered by weak earnings or lowered guidance, but by what at first looked like good news — a technology breakthrough from Alphabet’s (NASDAQ: GOOGL) Google. That created a puzzling situation on Wall Street. In a market relentlessly chasing the next phase of AI growth, why would a development designed to make AI faster and more efficient cause widespread investor panic? The contradiction has prompted debate about the future role of hardware in an increasingly software-defined world and created a potential disconnect between stock prices and projected long-term semiconductor demand. How a Virtuous Cycle Was Mistaken for a Vicious One
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At the center of the selloff is Google's "TurboQuant" technology, an advanced data-compression method. In simple terms, it enables the same information to occupy less digital space. The market’s reaction was immediate: if data can be compressed, the world will logically need less physical memory and storage hardware — a direct threat to memory chip makers. But that reasoning misunderstands how technological progress typically unfolds. A recent note from a Bank of America (NYSE: BAC) analyst called the selling pressure unwarranted and laid out a more nuanced reality. Efficiency gains rarely erase demand; they tend to create a virtuous cycle. Technologies like TurboQuant don’t eliminate the need for hardware — they enable developers to build larger, more powerful, and more complex AI models. Those models process vastly more data and, in turn, demand faster, higher-capacity memory and storage. There’s a clear historical parallel: the MP3 format didn’t kill the market for music players — it expanded digital music consumption and fueled demand for devices like iPods and smartphones. TurboQuant and similar advances will likely have the same effect for AI, accelerating a trend that already requires a massive, multi-year buildout of data center infrastructure. Sorting the Signal From the NoiseThe market’s broad reaction has affected companies differently. For investors, distinguishing among these impacts is key to finding opportunities. Micron: Demand That Can't Be CompressedMicron sits at the intersection of market fear and AI-driven opportunity. As a leading producer of high-bandwidth memory (HBM) — essential for training and running advanced AI models — Micron was directly in the line of fire. But the company’s fundamentals tell a different story.
Unwavering Demand: Perhaps the most compelling rebuttal to bearish arguments is that Micron’s HBM supply for 2026 is already sold out. That’s a tangible indicator of insatiable demand from data center customers that a software compression algorithm doesn’t erase. HBM works in tandem with AI accelerators from companies like NVIDIA (NASDAQ: NVDA), and its importance is growing. Financial Strength: This demand showed up in Micron’s latest quarterly report, which comfortably beat analyst expectations. With a forward price-to-earnings ratio that looks reasonable given its growth prospects, the stock appears mispriced after the recent pullback. Analyst Confidence: Wall Street remains largely bullish, with a consensus Buy rating and an average price target implying meaningful upside. The recent dip could offer an attractive entry into a leader of the AI hardware buildout. Western Digital: Even Compressed Data Needs a HomeWestern Digital plays a foundational role in the AI ecosystem. The AI revolution depends on enormous datasets — data lakes — and those datasets must be stored. While WDC isn’t a direct HBM competitor, its hard disk drives (HDDs) and solid-state drives (SSDs) are the backbone of the data centers that store and serve this information.
A Two-Pronged Approach: Western Digital benefits from both ends of the storage stack. Its SSDs deliver the high-speed access needed for active AI workloads, while its high-capacity HDDs provide cost-effective mass storage for archiving and training massive datasets. Essential Infrastructure: As AI models generate and process exabytes of data, demand for storage infrastructure will only increase. Western Digital’s recent positive earnings underscore the resilience of its core business. The Investment Case: The market appears to be underestimating the less glamorous but essential role of mass data storage in the AI supply chain, making Western Digital a value-oriented way to play the long-term trend. Applied Materials: Supercycles Still Explode Under CompressionIf you want exposure to the long-term semiconductor supercycle while minimizing single-category risk, Applied Materials is a strong option. Applied Materials follows the "picks and shovels" model — supplying the complex machinery needed to build the fabrication plants where chips are made.
A Market Leader: Applied Materials is dominant in the wafer fab equipment (WFE) market. Its performance is tied to the capital expenditures of the world’s largest chipmakers. As long as the world needs more and better chips, companies will need Applied Materials’ equipment. Strategic Insulation: It’s largely irrelevant whether the end product is memory for AI, processors for smartphones, or another chip type. That strategic position buffers Applied Materials from short-term shifts in demand for any single chip category. Institutional Confidence: Applied Materials has solid fundamentals, with high institutional ownership and consistently bullish analyst targets. Its recent selloff reflects broader sector sentiment rather than weakness in its core business, creating a discounted opportunity to invest in the industry’s manufacturing expansion. Seeing the Forest and the TreesThe market has sold off hardware on a software story — a classic overreaction that overlooks the symbiotic relationship between data efficiency and hardware demand. The future of AI isn’t about using less hardware overall; it’s about needing more powerful hardware to handle increasingly complex tasks. On balance, the long-term outlook for AI-driven semiconductor demand remains intact; if anything, technologies like TurboQuant will accelerate it. Volatility driven by misunderstood headlines often creates compelling entry points for investors focused on fundamentals. For those willing to look past the immediate noise, the current dislocation among these foundational chipmakers represents opportunity, not a sign of structural decline. |
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