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The warning that 50% of data centres aren’t getting built. that should create a market panic highlights an impending infrastructure bottleneck driven by power grid shortages and supply chain delays, forcing enterprises to immediately diversify their cloud strategies.
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|24 June 2026
Why 50% of data centres aren’t getting built. that should create a market panic
With half of planned data centres quietly collapsing before ground is broken, enterprises are facing an imminent cloud capacity crunch. Here is how to protect your business infrastructure.
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Questions fréquentes
Questions fréquentes
Why are 50% of planned data centres failing to be built?
Data centre construction projects are collapsing globally due to electric grid capacity overloads and massive supply chain backlogs. Local utility providers cannot supply the required power, and heavy equipment like transformers now face waiting times of over three years.
How does the AI energy crisis impact standard enterprise cloud costs?
Generative AI applications consume three to four times more energy than legacy software. Cloud giants are actively redirecting power capacity to high-density AI systems, causing capacity shortages and price spikes for traditional enterprise workloads.
What steps can businesses take to mitigate cloud infrastructure latency?
Enterprises should perform a thorough dependency audit, optimize application code to lower data transfer needs, and leverage local edge nodes or hybrid cloud options to keep critical data closer to corporate endpoints.
Is colocation a viable cost-saving alternative during this crunch?
Yes, renting physical rack space in carrier-neutral colocation facilities is highly effective for stabilizing operational budgets. It offers predictable monthly costs and protects companies from the volatile billing hikes of public cloud hyper-scalers.
What is the biggest mistake enterprises make in cloud migration?
The most common error is the 'lift-and-shift' trap, where legacy software is moved directly to the public cloud without optimization. This results in heavy resource consumption, massive bandwidth fees, and severe over-provisioning.
