Micron, Sandisk surge on AI memory scarcity outlook
Memory stocks, including Micron Technology Inc., Sandisk Corp., and SK hynix Inc., surged in premarket trading as investors bet on sustained AI infrastructure spending. Morgan Stanley analysts highlighted a persistent scarcity of memory chips and compute power, predicting a multi-year supply-demand imbalance that supports higher prices. The firm estimates memory inflation could reach $80 billion this year, with shortages expected to last several years despite recent market volatility.

*this image is generated using AI for illustrative purposes only.
Memory stocks gained in premarket trading Thursday as investors continued to favor companies expected to benefit from strong artificial intelligence infrastructure spending and tight memory supply. Micron Technology Inc., Sandisk Corp., SK hynix Inc. and Western Digital Corp. moved higher as demand for AI memory and storage remained strong. The rally follows a sharp pullback in the previous session, where Micron shares fell nearly 3% despite broader optimism about the sector.
AI Spending Keeps Memory Demand High
AI servers require large amounts of high-bandwidth memory (HBM), DRAM, NAND flash and storage. As hyperscalers expand data-center capacity, investors expect memory makers to benefit from firmer pricing and sustained demand. Morgan Stanley's Andrew Slimmon said memory chips and compute power are likely to remain in short supply for the foreseeable future, reinforcing his positive view on artificial intelligence-related investments despite concerns about heavy data center spending.
Speaking on CNBC on Wednesday, Slimmon said Wall Street remains focused on the near-term cost of AI infrastructure, while technology companies are investing aggressively to capture long-term demand. "There's a scarcity of memory chips. There is a scarcity of compute power," Slimmon said. "I don't think that will be resolved in the near future."
Morgan Stanley Sees Multi-Year Tailwind
Morgan Stanley analyst Joseph Moore echoed that view, saying the recent pullback in memory stocks has created an attractive buying opportunity as AI spending continues to tighten industry supply. Moore said memory remains "at the center of every methodology for AI training and inference" and argued that recent weakness reflects short-term concerns rather than a deterioration in long-term demand.
Moore said data center customers continue to view memory as a key constraint on expanding AI infrastructure. He expects that dynamic to support the sector for several years. "We're seeing these second-derivative sell-offs," Moore said. "But the true north here is the strength of the data center and the belief from data center customers that memory's going to be a binding constraint on the ability to ramp AI for really multiple years."
Moore also said the industry is experiencing an unusual period of pricing power. He estimated memory inflation could total about $80 billion this year as demand for high-bandwidth memory, DRAM and NAND outpaces supply. He added that NVIDIA Corporation CEO Jensen Huang recently told investors memory shortages are likely to persist for years, forcing the industry to improve efficiency rather than rely on additional supply.
Analyst Outlook
The stock carries a Buy rating with an average price forecast of $1548.86. Recent analyst moves include:
| Firm | Rating | Price Forecast | Date |
|---|---|---|---|
| Keybanc | Overweight | $1750.00 | July 14 |
| Cantor Fitzgerald | Overweight | $2000.00 | June 29 |
| Cantor Fitzgerald | Overweight | $1500.00 | June 25 |
Price Action
Sandisk shares were up 1.62% at $1625.11, Micron Technology shares were up 2.98% at $988.05 and SK hynix shares were up 6.55% at $176.10 during premarket trading on Thursday.
How might memory manufacturers address efficiency challenges to mitigate persistent shortages?
What impact could sustained high memory prices have on the profitability of AI-focused hyperscalers?
Are there potential risks of oversupply if AI infrastructure spending slows in the future?

































