FEATURE CABLESHIPS CAPACITY CONNECTION THE GREAT DATA CENTER CRUNCH Power, Politics, and the AI Squeeze BY JOHN MAGUIRE
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he world’s data centers are running out of runway. Across every major market—from Dublin to Dallas, from Singapore to Stockholm—the buildings that house the cloud are reaching physical and political limits. Artificial intelligence (AI) has turned data centers into industrial-scale powerhouses, gobbling up land, electricity, and water faster than governments and utilities can keep up. The result is a perfect storm: record demand colliding with heretofore unseen constraint.
THE AI BOOM HITS THE POWER LIMIT
Few sectors have grown as rapidly in the last decade as data centers. In Europe, the Middle East, and Africa (EMEA) region, leasing activity hit historic highs in 2024—yet capacity growth slowed because of the non-availability of sufficient power—not because demand softened in any sense1. This imbalance is global. The International Energy Agency (IEA) forecasts that data centers could consume 945 terawatt-hours of energy by 2030, more than double 2022’s total, and roughly equal to Japan’s annual use.2 The rise of AI is a key driver: the IEA says machine-learning workloads could quadruple global data-center energy demand over the next five years. That demand is concentrated for the moment in a few hotspots: the 1 https://www.reuters.com/business/energy/powersupply-constraints-slowing-emea-data-centre-rolloutreport-says-2025-11-06/ 2
https://www.iea.org/reports/electricity-2025
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U.S.A., northern Europe, and parts of East Asia, magnifying regional stress. The IEA warns that AI computing clusters may soon rival small cities in their energy footprint.
THE RISE OF THE SUPER-DENSE DATA HALL
Until recently, a typical server rack drew in the region of 1015 kW. But racks filled with Nvidia’s latest GPUs now require 40100 kW—and some configurations are apparently trending toward 150 kW per rack3. This represents an order-of-magnitude increase heat output and cooling needs. Britain’s National Grid operator, NESO, says racks as dense as 120 kW are becoming standard for AI4, while 3 https://www.sunbirddcim.com/blog/how-muchpower-does-nvidia-gb300-nvl72-need
4 https://dso.nationalgrid.co.uk/downloads/15083/ data-centre-impact-study2.pdf
Schneider Electric’s 2025 “AI-ready” design—developed with Nvidia—tops out at 132 kW per rack, relying on liquid cooling to survive the heat5. According to the Uptime Institute’s 2024 survey, about 22% of data centers already use some form of liquid cooling, and nearly half plan to adopt it by 2027. The shift is as significant as the jump from on-premise IT to the cloud itself: it changes building layouts, maintenance practices, and even the workforce skill set6.
GRIDLOCK: POWER IS THE NEW GOLD If cooling is the most visible
5 https://www.se.com/ww/en/about-us/newsroom/news/ press-releases/schneider-electric-launches-new-data-centersolutions-to-meet-challenges-of-high-density-ai-andaccelerated-compute-applications-68432e8baaaf82b041044f06 6 https://uptimeinstitute.com/uptime_ assets/7425ec68d479c5d78a743df94a79b114ed9f9c73f13b 6460949d2b8e73373209-GA-2024-07-uptime-instituteglobal-data-center-survey-results-2024.pdf