While the US pursues cutting-edge AGI, China is competing aggressively on cost at the application layer. By making LLM tokens and energy dramatically cheaper (e.g., $1.10 vs. $10+ per million tokens), China is fostering mass adoption and rapid commercialization. This strategy aims to win the practical, economic side of the AI race, even with less powerful models.

Counterintuitively, China leads in open-source AI models as a deliberate strategy. This approach allows them to attract global developer talent to accelerate their progress. It also serves to commoditize software, which complements their national strength in hardware manufacturing, a classic competitive tactic.

A nation's advantage is its "intelligent capital stock": its total GPU compute power multiplied by the quality of its AI models. This explains the US restricting GPU sales to China, which counters by excelling in open-source models to close the gap.

Current geopolitical strategies are aimed at securing cheap, abundant energy. This is not for traditional consumption but to fuel the immense power demands of the AI arms race between the US and China. Lowering energy costs is the primary lever to accelerate intelligence creation and gain a competitive edge.

An emerging geopolitical threat is China weaponizing AI by flooding the market with cheap, efficient large language models (LLMs). This strategy, mirroring their historical dumping of steel, could collapse the pricing power of Western AI giants, disrupting the US economy's primary growth engine.

The shift from simple chatbots to task-oriented "agentic AI" dramatically increases the demand for AI tokens. This makes China's ability to produce tokens cheaply a more critical and growing strategic advantage, as the resource becomes increasingly scarce and valuable.

China is compensating for its deficit in cutting-edge semiconductors by pursuing an asymmetric strategy. It focuses on massive 'superclusters' of less advanced domestic chips and creating hyper-efficient, open-source AI models. This approach prioritizes widespread, low-cost adoption over chasing the absolute peak of performance like the US.

Beyond low electricity costs, Chinese AI models achieve a structural cost advantage through their "mixture of experts" architecture. This technical approach, spurred by US chip restrictions, requires less computing power to generate tokens compared to prevalent US systems.

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.