Updated
Updated · The Motley Fool · Jul 31
Micron Sinks 32% From June High as $5.9 Trillion AI Build-Out Faces Spending Doubts
Updated
Updated · The Motley Fool · Jul 31

Micron Sinks 32% From June High as $5.9 Trillion AI Build-Out Faces Spending Doubts

2 articles · Updated · The Motley Fool · Jul 31

Summary

  • Micron has fallen 32% from its June record high as investors question whether AI customers can sustain the infrastructure spending needed to keep memory demand booming.
  • Bloomberg projects 118 gigawatts of U.S. data-center capacity by 2030, and Nvidia says each gigawatt costs about $50 billion to build—implying roughly $5.9 trillion in capital spending.
  • Rising AI costs are already prompting restraint: Uber said Anthropic's Claude Code exhausted its 2026 AI budget in four months, while Amazon and Walmart have capped some employee AI usage.
  • UBS found 60% of businesses are shifting tasks to cheaper AI models, a trend that could curb demand for computing capacity and eventually weaken sales for chip suppliers like Micron.
  • Micron's own results remain strong for now—fiscal third-quarter revenue jumped 346% to $41.4 billion—but investors are looking past current shortages and pricing power toward a possible demand and margin slowdown.

Insights

With memory prices skyrocketing, at what point will tech giants abandon current designs and crash the AI chip market?
Will the relentless AI infrastructure boom ultimately make your next smartphone or laptop too expensive to afford?