Europe's High Energy Costs Threaten AI Data Center Edge

Europe's electricity prices are structurally incompatible with the scale of AI infrastructure buildout now underway globally. At $89–$112 per megawatt-hour versus $28 in the US, European grid costs create a cost-per-token disadvantage that compounds dramatically as hyperscalers plan 2027–2030 capacity expansions. The mechanism is straightforward: AI training and inference workloads are energy-intensive enough that electricity prices directly determine where compute gets built. When the differential is 3–4x, routing decisions become obvious. Microsoft, Google, and Amazon are increasingly directing new data center capacity toward the US and Middle East, where energy economics support the unit economics of large-scale AI deployment. Essentially: (Microsoft, Google, Amazon) are already routing around Europe at the infrastructure layer. - US industrial electricity averages $28/MWh versus a European range of $89–$112/MWh, a gap that translates to hundreds of millions in operating cost differences at hyperscale. - The Middle East is emerging as the third pole in AI infrastructure, offering both cheap energy and sovereign investment incentives that Europe cannot match. - The 2027–2030 buildout window is when AI compute demand is expected to accelerate most sharply, making near-term siting decisions load-bearing for the next decade of capacity. Europe's AI policy ambitions and its energy market structure are now pulling in opposite directions, and the infrastructure decisions being made today will be difficult to reverse.