Micron Technology’s stock surged nearly 240% last year, fueled by soaring demand for memory chips powering artificial intelligence. But a new breakthrough from Google has shaken investor confidence, sparking questions about whether Micron can keep up its winning streak.

The Boom Behind Micron’s Gains

Micron’s fiscal 2026 second-quarter results stunned Wall Street. The company posted $23.9 billion in revenue — nearly triple the year-ago quarter — and earnings per share soared 682% to $12.20. Gross margins more than doubled to 74.4%, driven by intense demand for memory chips used in AI processing. CEO Sanjay Mehrotra attributed the surge to structural supply constraints and Micron’s strong execution in capitalizing on AI’s explosive growth.

Investors responded in kind, pushing Micron’s shares up 62% immediately after the report and nearly 240% over 2025. The company seemed poised to challenge semiconductor giants like Intel as the AI boom fueled rare demand for advanced memory technology.

Google’s Algorithm Throws a Wrench

But then came the curveball. Alphabet’s Google unveiled TurboQuant, a new algorithm that compresses large AI models’ memory needs by at least sixfold without sacrificing accuracy. This breakthrough, if it works as promised, could reduce the memory footprint of AI systems by roughly 83%. The market reacted swiftly, sending Micron shares tumbling as investors feared the demand for memory chips might plummet.

At first glance, the numbers look bleak. Why buy six times as many memory chips if AI models can run with one-sixth the memory?

But the reality is more nuanced. Industry experts argue that hyperscalers won’t simply buy fewer chips.

Instead, they could redeploy the freed-up memory for other tasks, like improving AI’s ability to recall specific information over longer periods — a so-called "needle-in-a-haystack" challenge critical for AI’s evolution.

Google has made TurboQuant open-source, allowing the entire AI industry to adopt the technology. That means the efficiency gains won’t just impact one company’s chip demand but could reshape memory requirements across the board.

Long-Term Prospects Still Look Bright

Despite the initial sell-off, some analysts see the dip as a buying opportunity. Micron estimates the high-bandwidth memory (HBM) market — vital for AI workloads — was worth $35 billion in 2025 and could triple to $100 billion by 2028. The persistent supply bottleneck that inflated memory prices hasn’t vanished, and demand continues to outpace production capabilities.

Micron’s ability to navigate these bottlenecks and innovate remains a key factor. While the market digests Google’s new algorithm, the company’s strong execution and strategic positioning in AI memory could keep it in the race.

Investors are watching whether Micron can maintain its momentum amid evolving technology and shifting demand patterns.

Market Volatility and Geopolitical Factors

Micron’s stock isn’t moving in a vacuum. Recent market rallies have been influenced by geopolitical developments, especially the potential easing of tensions in the Middle East. Speculation about the United Arab Emirates joining efforts to reopen crucial shipping lanes has boosted investor confidence in growth stocks, including Micron.

The rebound in Micron shares after their March dip suggests market participants are reassessing the long-term impact of Google’s compression technology. While uncertainty remains, the stock’s bounce back indicates many still believe in Micron’s role as a critical supplier in the AI revolution.

Micron faces a crucial moment. The company’s past performance shows it can capitalize on AI-driven demand, but Google’s innovation challenges the status quo. How Micron adapts to this new landscape could determine whether it follows in Intel’s footsteps or stalls amid the fast-changing tech race.