Wednesday, April 1

3 Reasons the Memory Supercycle Is Reasserting Itself After a Rough Week


  • Micron Technology (MU) stock surged to the $370 level Wednesday morning, rebounding from a brutal 14.55% one-week selloff triggered by Google’s TurboQuant memory-compression fears.

  • The chipmaker’s HBM4 memory is in mass production for NVIDIA’s (NVDA) Vera Rubin platform.

  • Moreover, Micron could be positioned attractively after recent share-price weakness as the company’s Q2 FY2026 NAND revenues surged 169% year-over-year to $5B, driven by sales of AI data center SSDs.

  • A recent study identified one single habit that doubled Americans’ retirement savings and moved retirement from dream, to reality. Read more here.

Micron Technology (NASDAQ:MU) shares are up 9% in Wednesday morning trading, climbing from an opening price of $337.84 to around $370. The bounce follows a brutal stretch in which MU shares had declined 14.55% over the past week, dragged lower by fears surrounding Google’s TurboQuant memory-compression algorithm. Today’s rally signals that investors may be reassessing whether that selloff went too far.

The previous one-week decline pushed MU shares well below analyst consensus targets, creating what looks like a valuation gap that the market is beginning to close. With today’s rally, however, MU stock is now up 27% year-to-date. For context on just how far Micron has come over the longer term, we analyzed how a $1,000 investment in MU 10 years ago would be worth around $29,919 today.

Read: Data Shows One Habit Doubles American’s Savings And Boosts Retirement

Most Americans drastically underestimate how much they need to retire and overestimate how prepared they are. But data shows that people with one habit have more than double the savings of those who don’t.

This story isn’t only about Micron, though. The memory supercycle appears to be reasserting itself, and here are three reasons why.

Last week’s selloff was triggered by reports that Alphabet (NASDAQ:GOOGL) developed TurboQuant, an AI memory-compression algorithm reducing memory needs for large language models by up to 83%. The market reacted sharply, but analysts are now pushing back on the severity of that reaction.

Analysts at Morgan Stanley reaffirmed Micron’s Overweight rating after the TurboQuant selloff, stating that memory supply acts as a critical bottleneck for AI development and that the strength in memory stocks is more durable than the market perceives.

Crucially, TurboQuant primarily targets AI inference efficiency. It could actually accelerate new memory demand by enabling AI deployment on previously memory-constrained edge devices.



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