Goldman Sachs Projects AI Infrastructure Spending Will Exceed $1 Trillion by 2027
Goldman Sachs forecasts AI infrastructure spending will exceed $1 trillion in 2027. Nvidia remains the dominant AI infrastructure winner, while AMD is positioned in inference and agentic AI applications.
Goldman Sachs projects that spending on AI infrastructure will surpass $1 trillion in 2027, reflecting sustained capital intensity as hyperscalers and enterprises build out computational capacity for inference and agentic AI workloads. The forecast underscores the multi-year runway for semiconductor demand tied to datacenter expansion.
Nvidia remains the dominant supplier of AI accelerators and is positioned to capture the largest share of incremental infrastructure spending, according to the Goldman analysis. AMD is riding two concurrent trends—inference workloads that require lower-latency chips and agentic AI applications that distribute computational tasks across broader architectures—both of which expand the addressable market beyond training-only deployments.
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