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Recently, I read an in-depth analysis report on the energy bottleneck of ultra-large-scale AI computing, which made me realize that the previous bubble theories might be about to be proven wrong by reality.
The core logic is actually very simple: electricity supply will become the true "balancing factor." This means that money-burning monsters like OpenAI can no longer play the game of unlimited investment. The ceiling on energy costs will automatically impose a constraint on these ultra-large-scale computing centers.
In other words, the market's self-regulating mechanism is more robust than we imagined. It's not just policy cuts, but physical constraints themselves that create a "energy gate" — ultra-large players will either have to control expenses or hit a wall. This kind of constraint is more realistic and harder to bypass.