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The global dialogue surrounding artificial intelligence has arrived at a critical operational threshold. Foundational research laboratories, enterprise adopters, and public utilities are absorbing unsustainable physical and capital pressures. The exponential demand for datacenter floor space, multi-megawatt electrical substations, advanced cooling infrastructure, and specialized GPU clusters has created an intense industrial bottleneck. Simultaneously, regulatory scrutiny regarding energy consumption, sovereign data privacy, and catastrophic failure modes continues to mount worldwide.
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Christopher Wiley (2026) studied this question.
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