The higher it rises, the more optimistic investors get? Micron surpasses the $1,000 mark as Wall Street sees "growing demand for storage with no competition"
Micron Technology's share price closed above $1,000 for the first time, prompting Wall Street analysts to raise their price targets, citing the dual drivers of sustained AI demand expansion and constrained supply of memory chips.
On Monday, Micron shares closed at $1,034.74, hitting a historic milestone. Raymond James analyst Melissa Fairbanks significantly raised the price target from $530 to $1,100 on the same day, anticipating that AI-driven memory demand and supply tightness will continue into 2027–2028, supporting Micron's elevated price levels.

Morningstar analyst William Kerwin told MarketWatch that Micron's breakthrough of the $1,000 psychological threshold could be further fueling investor enthusiasm. The wave of analysts raising price targets also confirms the market's general expectation for further upside potential in Micron's stock.
"Rising memory demand with no competition"
Melissa Fairbanks noted in her research report that High Bandwidth Memory (HBM) chips are becoming increasingly complex with each new generation of Graphics Processing Units (GPU), a trend that reinforces Micron's market position as one of the few suppliers of HBM.
She expects that the pattern of strong AI demand and "constrained" memory supply is likely to persist into 2027–2028, providing a foundation for Micron to maintain high pricing.
Last week, D.A. Davidson analyst Gil Luria raised his target price from $1,000 to $1,500, reasoning that Micron, SK Hynix, and Samsung virtually monopolize the entire DRAM and high-bandwidth memory market.
In his report, Luria noted bluntly that he "isn't aware of any competition coming in"—for new entrants to break into this market, they would need to build new wafer fabs, which require two to three years to construct, creating a high entry barrier that serves as a strong moat for existing players.
Meanwhile, Stifel analyst Brian Chin stated that Nvidia's upcoming RTX Spark personal computing chip will bring an additional boost in demand for Micron. The new chip supports higher memory capacity and offers better efficiency than regular PC processors, positioning Micron's memory chips to benefit from this trend.

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
AI demand drives TSMC to accelerate capacity expansion, 2nm monthly production aims for 120,000 wafers by year-end
According to reports, industry giants such as Apple, Nvidia, and AMD have collectively increased their orders by 10% to 20%, directly boosting TSMC's 2nm monthly production capacity to 120,000 wafers by the end of the year, which exceeds the previous estimate by more than 20% and brings forward the 2027 target by two years. For the first time in history, five factories will ramp up production simultaneously, and the annual compound growth rate of capacity from 2026 to 2028 will reach as high as 70%.
Long-term US Treasury Sell-off Continues! 10-Year Treasury Yield Breaks 5.2% Again, “AI Boom vs. Rising Financing Costs” Narrative Showdown Intensifies
On Monday, oil prices rose and US Treasury bonds were sold off again as former US President Donald Trump rejected Iran's latest proposal to reopen the Strait of Hormuz, heightening concerns about inflation.
Banks Have Been Earning Effortlessly from Idle Funds for Years—Will AI Agents Change Everything?
For years, banks have profited from customers' idle funds, but AI agents may be about to change this situation.
Goldman Sachs: US stocks are showing a "strong index, weak confidence" pattern; catch-up rally may become the main theme of the next phase
Goldman Sachs stated that the current U.S. stock market is showing an unusual pattern: while index performance is strong, investor confidence remains weak. This suggests that the market still has further upside potential, and stocks that previously lagged behind leading AI stocks may soon experience a catch-up rally.

