The largest electricity grid operator in the United States recently lowered its electricity demand growth forecast, which dealt a cold shower to the rising AI wave. The once-hot enthusiasm for computing power demand has cooled down, and energy cost pressures have eased accordingly. What does this mean for energy-intensive industries? Perhaps the AI chip race will not be as fierce as expected, and the corresponding electricity cost advantages may be redistributed. The market is returning from frenzy to rationality, and adjustments in energy supply forecasts are reshaping the expectations of the entire industry chain.
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GasOptimizer
· 01-15 23:12
To be honest, I saw the downward revision of electricity expectations coming a long time ago. You are still hyping the scarcity of computing power, while I have already started analyzing the cost structure—electricity costs have always been variable, and now someone finally admits it. The cooling down of the AI chip race might actually expand the space for energy hedging, which is a great opportunity for data analysis.
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GasFeeNightmare
· 01-15 20:25
Haha, this move by the power grid operator directly exposes the bubble of AI hype. I've long thought that the demand for computing power has been exaggerated too much.
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TestnetNomad
· 01-14 20:03
The computing power boom cools down; it still depends on how things develop next. Cheaper electricity bills make it easier to burn money on futile efforts.
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OptionWhisperer
· 01-14 20:02
Haha, finally someone is cooling down the AI hype. The computing power arms race might not be as crazy as imagined.
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LuckyBearDrawer
· 01-14 19:59
Is the computing power bubble about to burst... What will those guys who spent money on mining rigs earlier do?
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MagicBean
· 01-14 19:43
Haha, I thought AI was going to blow up the power grid, but it cooled down instead. This wave is quite realistic.
The largest electricity grid operator in the United States recently lowered its electricity demand growth forecast, which dealt a cold shower to the rising AI wave. The once-hot enthusiasm for computing power demand has cooled down, and energy cost pressures have eased accordingly. What does this mean for energy-intensive industries? Perhaps the AI chip race will not be as fierce as expected, and the corresponding electricity cost advantages may be redistributed. The market is returning from frenzy to rationality, and adjustments in energy supply forecasts are reshaping the expectations of the entire industry chain.