Hyperscalers In The Backseat, Memory And Gas Turbines To The Front

2026-03-06 06:30:00 ET

By Xavier Stonehouse

The current landscape of AI infrastructure has reached a critical inflection point where the dominant hyperscalers are being forced into the backseat by the physical and economic realities of the hardware they require. As DRAM contract prices skyrocket - with DDR5 projected to jump 62% quarter-over-quarter in early 2026 and nearly 400% year-over-year - the total cost of ownership (TCO) for datacenters is undergoing a radical shift. Memory now accounts for up to 40% of total rack costs, driving a scenario where the four major hyperscalers are forecast to spend a combined $650 billion in 2026 alone. This "existential spend" is no longer just about the fastest chips; it is a desperate race to secure scarce memory, silicon, and the power required to actually turn them on....

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