The AI race isn't just about technology; it's also about public perception. China's 83% "AI optimism" rate fosters rapid development, while the U.S. rate of only 39% fuels a "regulatory frenzy" and public fear, potentially causing the nation to lose its lead.

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While U.S. advocates for AI cooperation with China often feel they are in a marginalized minority fighting a hawkish narrative, their counterparts in China feel their position is mainstream. Chinese academia, industry, and think tanks broadly view international governance collaboration as a priority, not just an acceptable option.

According to Nvidia's CEO Jensen Huang, China's real threat in the AI race isn't just its technology but its centralized ability to bypass the state-by-state regulations and power constraints bogging down US companies. While the US debates 50 legislative frameworks, China rapidly deploys infrastructure, creating a significant speed advantage.

Despite being a leader in AI development, the US has significant negative public sentiment. This skepticism contrasts with more positive views in China and Europe and could hinder AI adoption, funding, and favorable regulation, creating a unique challenge for the industry's leaders.

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 emergence of high-quality, open-source AI models from China (like Kimi and DeepSeek) has shifted the conversation in Washington D.C. It reframes AI development from a domestic regulatory risk to a geopolitical foot race, reducing the appetite for restrictive legislation that could cede leadership to China.

A Google/Ipsos survey reveals the U.S. has the lowest AI optimism and is the only surveyed nation without majority AI use. This is not just a consumer trend but a strategic vulnerability, suggesting a national reluctance to adapt that could hinder economic and technological progress as other nations embrace AI.

For Chinese policymakers, AI is more than a productivity tool; it represents a crucial opportunity to escape the middle-income trap. They are betting that leadership in AI can fuel the innovation needed to transition from a labor-intensive economy to a developed one, avoiding the stagnation that has plagued other emerging markets.

While the US focuses on creating the most advanced AI models, China's real strength may be its proven ability to orchestrate society-wide technology adoption. Deep integration and widespread public enthusiasm for AI could ultimately provide a more durable competitive advantage.

The US-China AI race is a 'game of inches.' While America leads in conceptual breakthroughs, China excels at rapid implementation and scaling. This dynamic reduces any American advantage to a matter of months, requiring constant, fast-paced innovation to maintain leadership.

While U.S. firms race towards the abstract goal of Artificial General Intelligence (AGI), China is pursuing a more practical strategy. Its focus on applying AI to robotics for industrial automation could yield more immediate, tangible economic transformations and productivity gains on a mind-boggling scale.