Last month, Google published a research paper on something called TurboQuant. Semiconductor stocks bled. And if you actually read past the headline, you'd know the entire selloff was based on a misunderstanding.
This is the second time in a year this exact pattern has played out. In January 2025, when DeepSeek dropped its efficient AI model, the entire chip sector tanked because investors assumed cheaper AI meant less demand for memory and processing power. Wrong. When inference got cheaper, it expanded who could afford to deploy AI at all—so memory demand actually rose. That's basic economics: when something gets cheaper, people use more of it, not less.
Now we're doing it again with TurboQuant.
Here's what TurboQuant actually does: it compresses something called the KV cache, which is used during AI inference—the part where a trained model answers questions or generates text. That's it. It has negligible impact on training memory, where the actual majority of high-bandwidth memory (HBM) demand comes from.
The $180 billion that hyperscalers are spending on memory this year? Mostly training spend. TurboQuant doesn't touch that. Also, it's just a research paper from 2025 that hasn't even been widely deployed yet—not even by Google.
But headlines went out saying "AI memory requirements could drop," investors panic-sold, and here we are again.
Look, I get it. AI is complicated. Memory hierarchies, training vs. inference, KV caches—it's not the easiest stuff to parse. But if you're going to trade on it, read past the abstract. Understand what the actual impact is before you hit the sell button.
The memory crunch doesn't end because of an algorithm. It ends when new fab capacities come online in 2027-28. Supply is the bottleneck, not efficiency improvements that mostly affect inference.
Here's the frustrating part: we're clearly stuck in a loop. News drops, headlines go crazy, people panic sell without reading, stocks bleed, thesis turns out to be wrong, stocks recover, and three months later we do it all over again.
At some point, you'd think the market learns. Apparently not.
So here's my advice: next time you see a headline about an AI breakthrough that's supposedly going to crater semiconductor demand, ask yourself three questions:
