ClaimAudio · 102:34 — 104:04
Power will not be the binding constraint on US AI compute scaling, because unconventional generation (behind-the-meter turbines, reciprocating and ship engines, fuel cells, solar-plus-battery) can unlock roughly 20% of the terawatt-scale US grid that today sits idle except during rare peak-demand spikes.
Dylan argues the US can scale AI power well beyond current levels by tapping unconventional generation sources to absorb grid capacity normally reserved for rare peak demand, meaning power — unlike chips — isn't fundamentally supply-constrained. ✦ AI generated
Dylan Patel · Dwarkesh Podcast · 2026-03-13 · original ↗
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“If in 2030 we have enough logic and memory to do 200 gigawatts a year, do you just think that these things are on a path to ramp up to more than 200 gigawatts a year, or what do you see?”
Today, data centers are only 3-4% of the power of the US grid, and by 2028 they'll be 10%. But if you can unlock 20% of the US grid like this, it's not that crazy. The US grid is terawatt-level, not hundreds-of-gigawatts-level. So we can add a lot more energy.
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102:34– Scaling power in the US will not be a problem
102:34– Scaling power in the US will not be a problem
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