Goldman Sachs projects hyperscaler capex could reach $1.1 trillion in FY2027, while Oracle is expected to spend up to $95 billion in FY2027, underscoring the scale of the AI data center buildout. The article also highlights a cost concern: GPUs have only a 2-3 year useful life for mission-critical AI tasks, implying higher ongoing replacement and depreciation costs. Overall, the piece is constructive for AI infrastructure demand but cautious on the long-term economics.
Goldman Sachs projects hyperscaler capex could reach $1.1 trillion in FY2027, while Oracle is expected to spend up to $95 billion in FY2027, underscoring the scale of the AI data center buildout. The article also highlights a cost concern: GPUs have only a 2-3 year useful life for mission-critical AI tasks, implying higher ongoing replacement and depreciation costs. Overall, the piece is constructive for AI infrastructure demand but cautious on the long-term economics.
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