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The Pattern Is Bigger Than CME

The CME outage underscored growing stress on U.S. digital infrastructure as AI workloads push power, cooling, and grid limits.

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The CME shutdown wasn’t an isolated event. It’s part of a larger reality: the digital economy is now so stretched that a single failure — in cooling, software, or electricity — can disrupt everything without warning.

We’ve already watched AWS outages knock major apps, payment systems, logistics networks, crypto platforms, and even banks offline because one overloaded data-center cluster malfunctioned. A routine software error at Cloudflare has taken huge portions of the internet down for hours. And across the U.S., 9 of 13 power regions are running “critically tight,” leaving almost no buffer as data-center electricity use accelerates. At the same time, data centers themselves are running hotter, denser, and closer to their thermal ceiling than they were ever designed for — making the entire system more fragile with each new AI build-out.

Different causes, same conclusion:

these failures can happen anywhere, at any moment, and the ripple effects hit immediately.

We’re asking our computers, power grids, and cooling systems to handle far more than they were built for. AI drives electricity demand higher. More electricity creates more heat. More heat strains cooling systems. And when any part of that chain fails, the shockwaves hit the economy immediately.

The physical world — cooling, power, transformers, water, and grid capacity — is becoming the real bottleneck for the digital economy.

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