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Seagate leads memory sell-off as CEO says it would 'take too long' to build new factories
Samsung strike looms, causes ripple effect through memory stocks Shares of memory chip maker Seagate slipped more than 8% Monday, leading a group-wide sell-off after comments from CEO Dave Mosley raised concerns that it won't be able to meet the soaring demand fueled by the artificial intelligence buildout. Mosley was asked at a JPMorgan conference on Monday what it would take to add unit or floor capacity to produce more chips in Seagate's factories. "If we took the teams off and started building new factories or bringing up new machines, that would just take too long. You would end up with more capacity, but then you'd slow the rate of growth on that technology," Mosely said.
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Memory stocks hit by production capacity concerns
Speaking at a JPMorgan conference, Seagate CEO Dave Mosley explained that rapidly scaling up production capacity remains particularly complex. According to him, building new facilities and installing new equipment would take too long and could potentially hinder the group's technological advancements. These comments reignited fears over the long lead times inherent in the semiconductor industry, at a time when memory chips have become essential to the development of artificial intelligence infrastructure. The sector had rallied strongly in recent months, on the back of massive AI investments. However, Dave Mosley pointed out that Seagate must manage extensive production cycles and maintain visibility several quarters ahead for its customers. The executive indicated that the company is 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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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.

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 long1
.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 capabilities2
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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 capabilities2
. 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.Summarized by
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