AI at scale is constrained by physical inputs, and China has more slack in electricity plus dominant control over severa…
Rohan Paul Twitter · Rohan Paul (@rohanpaul_ai) · 2026-06-30
Rohan Paul argues that AI at scale is fundamentally bottlenecked by physical inputs—electricity, minerals, and magnets—and that China holds structural supply-chain advantages over the US in each.
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Topics: ai-infrastructureus-china-ai-competitionsupply-chainexport-controls
Claims
- AI at scale is constrained primarily by physical inputs: electricity, minerals, and magnet supply chains.
- China has greater slack in electricity capacity than the US for AI data center expansion.
- China holds dominant control over the minerals and magnet supply chains that data centers and chips depend on.
- Export controls may be accelerating China's development of physical AI infrastructure rather than slowing its AI progress.
Key quotes
AI at scale is constrained by physical inputs, and China has more slack in electricity plus dominant control over several minerals and magnet supply chains that data centres and chips depend on.
the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. — Aravind Srinivas
And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor. — Aravind Srinivas