The Chinese government's intense desire for technological self-sufficiency and global leadership paradoxically reduces investment risk. Beijing now "desperately" needs its deep science companies to succeed, making another unpredictable, Jack Ma-style crackdown on the industry less likely than in previous years.

China employs a dual strategy for AI. Domestically, its Cyberspace Administration rigorously penalizes unlabeled deepfakes to maintain social control. Abroad, its companies like ByteDance face no such constraints, allowing them to use foreign IP freely and creating a significant regulatory arbitrage advantage over Western competitors.

Beijing is reportedly exploring blocking overseas distribution of its leading AI models, viewing them as national security assets. This challenges the widespread assumption that companies can indefinitely rely on these models as a low-cost alternative to Western frontier models, forcing a strategic rethink.

Contrary to fears that U.S. regulation cedes ground to China, the CCP has strong self-interested reasons to regulate AI. It is highly concerned with internal stability and control, cracking down on AI-driven social disruption and the risk of domestic cyberattacks, independent of Western policy.

The argument that the U.S. must race to build superintelligence before China is flawed. The Chinese Communist Party's primary goal is control. An uncontrollable AI poses a direct existential threat to their power, making them more likely to heavily regulate or halt its development rather than recklessly pursue it.

Beijing manages new technologies in three distinct phases. First, it 'Controls' political and speech risks (censorship). Second, it 'Harnesses' economic potential (e.g., AI+ initiatives). Finally, it 'Governs' the broader societal impacts like labor displacement and addiction.

China is considering restricting overseas access to its most advanced AI models from firms like Alibaba and ByteDance. This move directly emulates US restrictions on models like GPT-4, signaling a global trend where governments view frontier AI not just as a commercial product, but as a strategic national asset requiring state control.

Contrary to the argument that regulation stifles innovation, China has implemented extensive AI regulations over the past four years. During this same period, its AI technology has made significant inroads, challenging the notion that a laissez-faire approach is essential for competitiveness.

While the U.S. stalls on AI legislation, China is actively regulating it. This has led to significantly higher public trust and adoption in China (87% trust vs. 32% in the US), creating a more stable environment for AI development and deployment.