To Win the AI Race, America Must Remember Why It’s Worth Winning

Real Clear Defense | Len Khodorkovsky

China is rapidly eroding the United States’ artificial intelligence lead through Military-Civil Fusion and open-weight model deployment, threatening democratic influence over critical global digital infrastructure. Alibaba’s Qwen model has logged over 3 billion downloads in six months, while research group Epoch AI estimates the American technical lead has narrowed to just seven months.

This technological convergence mirrors China's control of 80 percent of the global rare-earth supply chain and its lead in 69 of 74 critical technologies tracked by ASPI. Good-enough Chinese systems risk entrenching authoritarian digital infrastructure. To counter this expansion across developing nations, the White House’s America’s AI Action Plan and National Champions Initiative promote exporting democratic AI stacks alongside allies like TSMC, ASML, and Nvidia. Sustaining technological supremacy requires combining high-performance American open models with coordinated allied hardware supply chains and shared compute power to secure global adoption.

Comment

China’s rapid model distillation relying on underlying semiconductor hardware exposes a fundamental bottleneck in dual-use artificial intelligence ecosystems. While open-weight algorithms scale rapidly, advanced semiconductor manufacturing depends on single-source suppliers like ASML in the Netherlands and TSMC fabrication plants in Taiwan. Restricting advanced GPU exports without bottlenecking photolithography components leaves a structural vulnerability in Western containment strategies.

Specifically, wafer fabrication requires specialised immersion DUV equipment and extreme ultraviolet lithography systems that cannot be easily duplicated through software distillation alone. Because Beijing’s Military-Civil Fusion relies on legacy commercial fabrication pathways for dual-use PLA computing platforms, targeting the physical equipment manufacturing pipeline curtails Chinese algorithmic scaling far more effectively than software export bans.

Strategic Question for Discussion

Which factor presents a more formidable barrier to Beijing's Military-Civil Fusion in AI — Western restrictions on ASML photolithography equipment or the physical capacity limits of TSMC fabrication nodes?

Restrictions on ASML photolithography hardware represent the more enduring bottleneck because algorithmic efficiency gains cannot bypass hardware physics once advanced lithography tools are denied. While TSMC capacity constraints create short-term friction, Beijing's inability to indigenise extreme ultraviolet scanners severely limits the long-term production of high-density chips for PLA dual-use systems.

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