AI infrastructure scaling faces a critical bottleneck that often goes overlooked: energy. It's not about computational models or semiconductor supply anymore. The real challenge? Hyperscalers and massive data centers demand enormous power consumption, yet electricity grids—particularly across North America—are struggling to keep pace. Grid expansion takes time. Building new generation capacity takes longer. Meanwhile, demand just keeps climbing.

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BuyHighSellLowvip
· 01-20 13:58
NGL, energy is really the underestimated bottleneck, and all the semiconductor stuff is just hype; the power grid is the real ceiling... North America is already nearing its limit, and I feel something big is about to happen.
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FlashLoanPrincevip
· 01-20 06:56
Energy is the real ceiling; no matter how powerful the computing power is, without electricity it's all useless.
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SpeakWithHatOnvip
· 01-18 22:06
The energy crisis is the real ceiling; chips and computing power are just surface-level issues.
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SchrodingersPapervip
· 01-18 22:05
Energy is the real ceiling; the chip supply chain has long been outdated. The current scale is too large to sustain.
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MEVictimvip
· 01-18 22:05
The energy crisis is real, but I think everyone is still worried about the chip shortage. Meanwhile, the power grid here is about to be overwhelmed.
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UncleLiquidationvip
· 01-18 22:04
The energy crisis is the real killer, chips and computing power are just clouds...
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CryptoFortuneTellervip
· 01-18 22:01
The energy crisis has indeed been underestimated. Chips and computing power are not the bottlenecks; the power grid is the real ceiling.
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ProbablyNothingvip
· 01-18 21:56
The energy crisis is even crazier than the chip shortage; this is the real bottleneck.
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tx_pending_forevervip
· 01-18 21:52
Energy issues are really the ultimate weapon; the hype about chip production capacity has been exaggerated.
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