China is explicitly subsidizing domestic semiconductor firms through its National Integrated Circuit Industry Investment Fund. This state-backed capital is the key driver behind its policy to achieve technological independence and replace foreign companies like NVIDIA.
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From China's perspective, producing more than it needs and exporting at cutthroat prices is a strategic tool, not an economic problem. This form of industrial warfare is designed to weaken other nations' manufacturing bases, prioritizing geopolitical goals over profit.
The massive IPO success of More Threads, founded by a former NVIDIA executive, highlights immense domestic investor enthusiasm for creating a homegrown alternative to NVIDIA, backed by unprecedented government capital and political will.
The real long-term threat to NVIDIA's dominance may not be a known competitor but a black swan: Huawei. Leveraging non-public lithography and massive state investment, Huawei could surprise the market within 2-3 years by producing high-volume, low-cost, specialized AI chips, fundamentally altering the competitive landscape.
Beyond the well-known semiconductor race, the AI competition is shifting to energy. China's massive, cheaper electricity production is a significant, often overlooked strategic advantage. This redefines the AI landscape, suggesting that superiority in atoms (energy) may become as crucial as superiority in bytes (algorithms and chips).
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.
Contrary to their intent, U.S. export controls on AI chips have backfired. Instead of crippling China's AI development, the restrictions provided the necessary incentive for China to aggressively invest in and accelerate its own semiconductor industry, potentially eroding the U.S.'s long-term competitive advantage.
SoftBank selling its NVIDIA stake to fund OpenAI's data centers shows that the cost of AI infrastructure exceeds any single funding source. To pay for it, companies are creating a "Barbenheimer" mix of financing: selling public stock, raising private venture capital, securing government backing, and issuing long-term corporate debt.
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.
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.
Beyond raw materials, China's national ambition is to achieve near-total self-sufficiency. The prevailing mood is that there is "nothing for which it wants to rely on foreigners a single day longer than it has to." This philosophy of aggressive import substitution signals a fundamental break with the logic of reciprocal global trade.
