Memory maker forecasts above-estimate sales as artificial intelligence fuels growth
Micron Technology (MU) delivered an upbeat forecast for its fiscal first quarter on Tuesday, signaling that surging demand for artificial intelligence (AI) hardware will continue to drive strong sales of its advanced memory chips.
The Boise, Idaho-based company projected revenue of $12.5 billion, plus or minus $300 million, handily topping Wall Street’s expectations of $11.94 billion, according to estimates compiled by LSEG. The guidance underscores how pivotal AI adoption has become for chipmakers, particularly in high-performance computing and data center infrastructure.
Micron, one of the world’s leading suppliers of DRAM and NAND memory, has benefited from the rising need for faster and more efficient chips to power generative AI applications and large-scale machine learning models. These technologies require immense computing capacity and rely heavily on high-bandwidth memory solutions, where Micron has positioned itself as a critical player.
“The AI revolution is reshaping the semiconductor landscape, and memory is at the heart of this transformation,” CEO Sanjay Mehrotra said earlier this year, highlighting the company’s strategic investments in next-generation memory products.
Micron’s bullish outlook follows a period of recovery for the broader memory industry, which has struggled with pricing pressures and oversupply in recent years. As cloud providers, hyperscalers, and enterprise customers ramp up AI deployments, analysts expect memory demand to strengthen further, supporting a sustained rebound.
The company’s shares have gained momentum in 2025, reflecting investor confidence in its ability to capitalize on AI-driven growth. Analysts note that Micron’s focus on advanced DRAM and high-bandwidth memory gives it a competitive advantage as rivals also race to meet soaring demand.
With its latest guidance surpassing expectations, Micron is positioning itself not only as a beneficiary of the AI boom but also as a key enabler of the technologies driving the next wave of digital transformation.
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