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Today's Bonus Article Memory Wipe: The Great TurboQuant MiscalculationReported by Jeffrey Neal Johnson. First Published: 4/1/2026. 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, with industry leaders like Micron (NASDAQ: MU) and Western Digital (NASDAQ: WDC) retreating from recent highs. The downturn was not prompted by weak earnings or lowered guidance, but by what initially looked like good news: a technological advance from Alphabet's Google (NASDAQ: GOOGL). That created a puzzling situation on Wall Street. In a market relentlessly chasing the next phase of AI growth, why did a development designed to make AI faster and more efficient trigger widespread panic? The apparent contradiction has raised questions about the future of hardware in an increasingly software-defined world and whether stock prices now diverge from projected long-term semiconductor demand. How a Virtuous Cycle Was Mistaken for a Vicious One At the center of the selloff is Google's "TurboQuant" technology, an advanced data-compression method. In simple terms, it compresses data so more information fits in less digital space. The market's reaction was immediate: if data can be made smaller, the world might need less physical memory and storage hardware. That perceived threat to memory-chip business models sparked the selloff. Your electric bill is up 42% since 2019, and utilities requested $31 billion in rate hikes last year alone. The culprit: AI data centers consuming power at a scale the grid was never designed to handle. The last time a bottleneck like this formed, three overlooked infrastructure stocks surged 1,700%, 1,900%, and 900% before Wall Street caught on. One analyst has identified the next candidate - earlier in the cycle, smaller, and positioned at a chokepoint that even the largest players cannot build around. See the one infrastructure stock Wall Street is about to chase Key PointsThe 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. - Special Report: The Biggest IPO Ever: Claim Your Stake Today
However, this view misunderstands how technological progress typically plays out. A recent note from a Bank of America (NYSE: BAC) analyst argued the selling pressure was unwarranted and pointed to a more nuanced reality. Efficiency gains 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 larger models process vastly more data and, in turn, demand faster and higher-capacity memory to perform effectively. History offers a clear parallel. The MP3 format did not kill the market for music-playing devices; it sparked an explosion in digital music consumption that fueled demand for products such as iPods and smartphones. TurboQuant and similar advances are likely to have a comparable effect on AI, accelerating a trend that already requires a significant, multi-year expansion of data-center infrastructure. Sorting the Signal From the Noise The market's broad-based reaction has affected companies in different ways. For investors, distinguishing between headline-driven volatility and underlying fundamentals is critical to spotting opportunities. Micron: Demand That Can't Be Compressed Micron sits at the intersection of market fear and the AI opportunity. As a leading producer of high-bandwidth memory (HBM) essential for training and running advanced AI models, it was an obvious target for seller concern. Yet the company's fundamentals tell a different story. -
Unwavering Demand: Micron's HBM supply for 2026 is completely sold out. That real-world indicator reflects insatiable demand from data-center customers—demand that a software compression algorithm does not negate. HBM works in tandem with AI accelerators from companies like NVIDIA (NASDAQ: NVDA), and its importance is growing. -
Financial Strength: The demand showed up in Micron's latest quarterly earnings report, which comfortably beat analyst expectations. With a forward price-to-earnings ratio that remains reasonable given its growth outlook, the stock looks mispriced after the recent dip. -
Analyst Confidence: Wall Street remains largely bullish, with a consensus Buy rating and an average price target implying healthy upside. The recent pullback may represent an attractive entry point into a leader of the AI hardware buildout. Western Digital: Even Compressed Data Needs a Home Western 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 is not a direct HBM competitor, its hard disk drives (HDDs) and solid-state drives (SSDs) form the backbone of the data centers that house this information. -
A Two-Pronged Approach: Western Digital benefits from both ends of the storage market. Its SSDs provide the high-speed access needed for active AI workloads, while its high-capacity HDDs deliver 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 grow. Western Digital's recent positive earnings underscore the health of its core business. -
The Investment Case: The market appears to be overlooking the less glamorous but vital role of mass data storage in the AI supply chain. That makes Western Digital a value-oriented way to play the same durable, long-term trend. Applied Materials: Supercycles Still Explode Under Compression One of the most insulated ways to invest in the long-term semiconductor supercycle is through Applied Materials. Applied Materials operates on the "picks and shovels" principle: it supplies the complex, essential machinery used to build the advanced fabrication plants where chips are made. -
A Market Leader: Applied Materials is a dominant player in the wafer fab equipment (WFE) market. Its business is tied to the capital expenditures of the world's largest chipmakers. As long as the world needs more and better chips—a virtual certainty—chipmakers will need Applied Materials' equipment. -
Strategic Insulation: It matters less whether the end customer is building memory for AI, processors for smartphones, or another class of chip. That strategic position provides a buffer from short-term shifts in demand for any single chip category. -
Institutional Confidence: Applied Materials' fundamentals are robust, with high institutional ownership signaling confidence from large investors and consistently bullish analyst price targets. Its recent weakness is driven more by sector sentiment than by core-business deterioration, offering a discounted way to gain exposure to the industry's manufacturing expansion. Seeing the Forest and the Trees The market has sold off hardware stocks on a software story—a classic overreaction that overlooks the symbiotic relationship between data efficiency and hardware demand. The future of AI is not about using less hardware overall; it's about needing more powerful and higher-capacity hardware to handle increasingly complex tasks. The long-term outlook for AI-driven semiconductor demand remains intact and, if anything, could be accelerated by technologies like TurboQuant. Volatility driven by misunderstood headlines often creates compelling entry points for investors focused on fundamentals. For those who can look past the immediate noise, the current dislocation among these foundational chipmakers represents opportunity rather than a sign of structural decline. |
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