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Post by Kirtikumar Chavda

Published Sep 09, 2026Updated Sep 09, 20262 min read

AI’S NEXT BOTTLENECK MAY NOT BE CHIPS.

IT MAY BE POWER.

Think about what is happening:

  • Bigger AI models
  • More inference
  • More data centers
  • More GPUs
  • More networking
  • More cooling
  • More electricity

The AI race is rapidly turning into an energy + infrastructure race.

$NVDA can build the world’s fastest GPUs.

But those GPUs still need:

  • Electricity
  • Data centers
  • Cooling
  • Grid capacity
  • Fiber + optical networking

That’s why I’m watching the entire AI infrastructure stack — not just the obvious AI names.

Semis → Memory → Photonics → NeoCloud → Power → Nuclear → Grid

AI doesn’t stop at the server rack.

It reaches all the way to the substation.

That’s the opportunity most investors are still underestimating.

DYOR.