$1.2 Trillion Cloud Spending Forecast Sparks Chaos in GPU Supply Chain

Morgan Stanley has increased its forecast for global hyperscaler capital expenditures to $1.2 trillion by 2027, up from an earlier estimate of $951 billion in May 2026. This represents a significant jump, with spending expected to reach $1.4 trillion by 2028.

The majority of this spending, approximately 75%, is attributed to AI infrastructure demands, with about 60% of the hardware capex relevant to AI involving imported components. This highlights the importance of supply chain management and trade policies in a market where tariffs and disruptions can significantly impact procurement timelines.

Crypto markets should take note as the GPU supply chain being devoured by AI hyperscalers is also crucial for crypto miners and decentralized compute networks. When Microsoft and Google order Nvidia chips, it creates pricing pressure and allocation constraints for other buyers, including companies like Marathon Digital, Riot Platforms, and Core Scientific.

Core Scientific's deal with CoreWeave is a notable example of this convergence, as former Bitcoin miners are retrofitting facilities to serve AI workloads due to shifting economics. Decentralized compute protocols like Render, Akash Network, and io.net are also positioned at this intersection, with a revised total addressable market.

For crypto investors, the mining sector's pivot toward AI hosting means that companies with existing power purchase agreements and data center shells have a strategic asset. Access to cheap, reliable electricity and physical rack space is becoming a competitive moat in AI as it does in proof-of-work mining.