The AI race is a national security imperative, akin to the Cold War arms race. However, the US is critically dependent on China for the copper, rare earths, and other materials required to build and power AI data centers, creating a massive strategic vulnerability.

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Dario Amodei, CEO of Anthropic, frames the debate over selling advanced GPUs to China not as a trade issue, but as a severe national security risk. He compares it to selling nuclear weapons, arguing that it arms a geopolitical competitor with the foundational technology for advanced AI, which he calls "a country of geniuses in a data center."

The strategic competition with China is often viewed through a high-tech military lens, but its true power lies in dominating the low-tech supply chain. China can cripple other economies by simply withholding basic components like nuts, bolts, and screws, proving that industrial basics are a key geopolitical weapon.

Contrary to the narrative of a simple "tech race," the assessment is that China is already ahead in physical AI and supply chain capabilities. The expert warns that this gap is not only expected to last three to five years but may widen at an accelerating rate, posing a significant long-term competitive challenge for the U.S.

The US and China have divergent AI strategies. The US is pouring capital into massive compute clusters to build dominant global platforms like ChatGPT (aggregation theory). China is focusing its capital on building a self-sufficient, domestic semiconductor and AI supply chain to ensure technological independence.

While headlines focus on advanced chips, China’s real leverage comes from its strategic control over less glamorous but essential upstream inputs like rare earths and magnets. It has even banned the export of magnet-making technology, creating critical, hard-to-solve bottlenecks for Western manufacturing.

While semiconductor access is a critical choke point, the long-term constraint on U.S. AI dominance is energy. Building massive data centers requires vast, stable power, but the U.S. faces supply chain issues for energy hardware and lacks a unified grid. China, in contrast, is strategically building out its energy infrastructure to support its AI ambitions.

The US is betting on winning the AI race by building the smartest models. However, China has strategically mastered the entire "electric stack"—energy generation, batteries, grids, and manufacturing. Beijing offers the world the 21st-century infrastructure needed to power AI, while Washington focuses on 20th-century energy sources.

China's superior ability to rapidly build energy infrastructure and data centers means it could have outpaced US firms in building massive AI training facilities. Export controls are the primary reason Chinese hyperscalers haven't matched the massive capital spending of their US counterparts.

China's global dominance isn't in owning mines, but in controlling the midstream refining and smelting processes. This creates a critical choke point for the West's supply of essential materials for defense, AI, and electrification, as they control 50-98% of processing capacity for key metals.

While the West may lead in AI models, China's key strategic advantage is its ability to 'embody' AI in hardware. Decades of de-industrialization in the U.S. have left a gap, while China's manufacturing dominance allows it to integrate AI into cars, drones, and robots at a scale the West cannot currently match.