Seagate shares drop 8% as CEO warns new factories would take too long to meet AI chip demand

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Seagate led a memory stock sell-off with shares falling over 8% after CEO Dave Mosley revealed the company can't quickly scale production to meet AI-driven demand. His comments at a JPMorgan conference highlighted the semiconductor industry's struggle with long lead times, as building new factories would slow technological growth while demand continues to significantly outstrip current capabilities.

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Seagate CEO Sparks Memory Stock Sell-Off With Factory Concerns

Shares of Seagate tumbled more than 8% on Monday, triggering a broader memory stock sell-off after CEO Dave Mosley acknowledged the company faces significant challenges in scaling production capacity to meet surging demand for memory chips driven by the artificial intelligence buildout

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. Speaking at a JPMorgan conference, Dave Mosley was asked what it would take to add unit or floor capacity to produce more chips in the company's facilities. His response sent ripples through the semiconductor industry: building new factories or bringing up new machines would simply take too long

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Production Capacity Constraints Collide With AI Infrastructure Needs

Mosley explained that if teams were redirected to construct new facilities, it would create a paradoxical situation where the company would eventually gain more production capacity but at the cost of slowing the rate of technological growth

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. This difficulty to scale up production comes at a critical moment when memory chips have become essential components for AI infrastructure development. The sector had experienced a strong rally in recent months, fueled by massive AI investments from tech companies racing to build out their artificial intelligence capabilities

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Long Lead Times Create Supply-Demand Imbalance

The executive's comments reignited concerns about the long lead times inherent in the semiconductor industry, particularly as demand outstrips production across the memory chip sector

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. Mosley pointed out that Seagate must manage extensive production cycles and maintain visibility several quarters ahead for its customers. The company is actively seeking to secure visibility on four to five quarters of available capacity, while acknowledging that demand continues to significantly outstrip current production capabilities

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. This supply constraint could create bottlenecks for companies building AI data centers and training large language models, potentially slowing the pace of AI deployment across industries. Market observers are now watching whether competitors face similar scaling challenges and how this capacity crunch might affect pricing dynamics and AI project timelines in the coming quarters.

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