CNBC's The China Connection newsletter: Money or power? The key to winning the AI race

• U.S. private sector AI investment is roughly 23 times higher than China's, with President Trump gathering Wall Street titans to raise $500 billion for AI development
• Huawei's most advanced Ascend 950 chips have only 13% of the computing power of one Nvidia GB300 chip, and Huawei is expected to produce just 1.35 million AI chips in 2026 versus at least 6 million from Nvidia
• China plans to invest 3 trillion yuan in computing power infrastructure through 2030, focusing on AI integration across industries rather than developing the smartest models

Market Summary: China's AI Strategy and the U.S.-China Technology Race

Key Theme: China is prioritizing AI development with unwavering commitment despite significant financial and technological disadvantages compared to the United States.

Critical Data Points:

• Investment Gap: U.S. private sector AI investment is approximately 23 times larger than mainland China's, according to Fitch's BMI
• Chip Production: Huawei expects to produce only 1.35 million advanced AI chips in 2026, compared to conservative estimates of 6 million Nvidia chips
• Computing Power: Each Huawei Ascend 950 chip has roughly 13% of the computing capacity of one Nvidia GB300 chip
• Computing Infrastructure: China projects its computing power network buildout will generate significant capital investment through 2030

Main Companies Mentioned:

Nvidia, Huawei, DeepSeek, Tencent, Alibaba, Meta, Manus, Pony.ai

Strategic Insights:

Bruce Liu, CEO of Esoterica Capital, emphasized China's resolve: "If China has one dollar left, that dollar is going to be spent on AI rather than real estate." Beijing's goal is AI self-sufficiency, not necessarily global leadership.

Market Implications:

• China's financing asymmetry versus the U.S. represents a "durable structural explanation for US leadership"
• Chinese companies are releasing competitive AI models at lower costs despite technological limitations
• The AI race is shifting toward capital-intensive models, away from asset-light businesses
• Ultimate success depends on commercialization: U.S. focuses on advanced models while China emphasizes cross-industry AI integration
• China relies primarily on equity financing and internal funds rather than debt issuance for AI projects

Investment Opportunity: Raffles Family Office views China's semiconductor push as a "parallel" opportunity rather than direct competition with U.S. tech investment.