Analysts Boost Micron (MU) Price Targets as AI Demand Drives Growth

Micron Technology, Inc. (NASDAQ:MU) is one of the best affordable AI stocks to buy now. On December 12, Stifel raised its price target on Micron (NASDAQ:MU) to $300, up sharply from $195, and reiterated its Buy rating. The firm pointed to accelerating demand for AI infrastructure as a key inflection point for the industry, noting that memory pricing has strengthened heading into year-end.

Stifel expects Micron to post solid results for fiscal first-quarter earnings, followed by a constructive outlook for the second quarter. According to the firm, improving profitability and more efficient bit production, combined with supportive market conditions, position the company well for continued momentum.

On December 12, UBS raised its price target on Micron Technology to $295 from $275 while keeping a Buy rating, citing strong momentum in DRAM and NAND pricing. UBS now expects DDR prices to rise 35% in Q4 2025 and NAND up 20%, with further gains projected into early 2026. Customers, including major cloud providers, are locking in multi‑year contracts through 2028 amid tight supply, and UBS estimates Micron’s EPS could reach $38 by 2027, reflecting continued robust demand and growth.

In a separate update, Micron announced on December 3 that it plans to wind down its Crucial consumer brand by February 2026 as it shifts its focus toward enterprise and commercial markets. The decision aligns with Micron’s broader push to support AI-driven data center demand and deepen relationships with key customers. Warranty support for existing Crucial products will continue, and affected employees will be reassigned where possible, reinforcing the company’s long-term focus on growth and innovation in memory and storage technologies.

Micron Technology, Inc. (NASDAQ:MU) is a key player in AI infrastructure, delivering advanced memory and storage solutions for artificial intelligence workloads. Its portfolio includes high‑performance DRAM, NAND, and NOR products that power data‑intensive applications across industries.

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Disclosure: None. This article is originally published at Insider Monkey.