AI Chip Obsolescence and Investment Doubts
Analysis based on 7 articles · First reported Dec 11, 2025 · Last updated Dec 11, 2025
The rapid obsolescence and high failure rates of AI chips, driven by companies like Nvidia's fast innovation cycle, could lead to significantly higher depreciation costs for companies. This would slash profits for AI specialists such as Oracle Corporation and CoreWeave, making it more expensive for them to raise capital and potentially impacting the broader US economy's dependence on AI.
The tech industry's US$400 billion investment in specialized AI chips and data centers is facing scrutiny due to overly optimistic estimates of chip lifespan. Analysts, including Michael Burry, warn of an 'AI bubble' as chips from companies like Nvidia become obsolete within three to four years, losing 85-90% of their market value. Mihir Kshirsagar of Princeton University notes that wear, tear, and rapid technological advancements make the traditional six-year lifespan assumption unsustainable. AI processors also exhibit high failure rates, with Meta Platforms reporting a 9% annual failure rate for its Llama AI model. This accelerated obsolescence could force companies to shorten depreciation timelines, impacting profits and increasing capital-raising costs for heavily indebted AI specialists like Oracle Corporation and CoreWeave, potentially rippling through the US economy.
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