If China has one dollar left, "that dollar is going to be spent on AI rather than real estate," said Bruce Liu, CEO of Esoterica Capital. Private sector AI investment in the U.S. is around 23 times more than in mainland China, according to Fitch's BMI. China has its own cost advantages in the AI race, with a focus on being self-sufficient in AI without relying on the U.S. Beijing aims to make significant strides in advanced chips for AI, though still falling short of Nvidia's capabilities.

Now, Nvidia has secured $500 billion in financing for AI development, highlighting the U.S.'s advantage in capital. Beijing's efforts in the artificial intelligence race underscore determination and resolve. China's national policy and district-level subsidies support the goal of self-sufficiency in AI. Despite not needing the best AI globally, China has made progress in chip development for AI applications.

However, the financing gap with the U.S. remains a challenge, as Chinese firms struggle to tap into external, non-state capital. Despite this, Chinese AI models are gaining attention globally for their capabilities and competitive pricing. Beijing's investment in AI has led to advancements but lags behind Nvidia's computing power. While China could announce more financial support, the lack of chip capabilities hinders growth.

Huawei's computing capacity is significantly less than Nvidia's, and the company's chip production numbers are also lower, raising challenges in chip supply for AI applications. Investors are closely watching China's semiconductor push, viewing it as a parallel opportunity to U.S. tech investments. With a focus on entry price, investors are cautious about AI financing strategies. Unlike the U.S., China has not seen significant plans for large-scale debt issuance in AI projects.

Companies in China mainly rely on equity financing and internal funds for AI development, with a strong emphasis on building infrastructure to support computing power. China's AI ambitions are reshaping the landscape of technology investments. As both China and the U.S. increase spending on AI, the shift towards asset-heavy models is clear. The commercialization of AI remains a key test, with U.S. companies focusing on developing advanced models and China prioritizing AI integration across industries.

The competition is not just about AI capabilities but application and integration, with the potential to revolutionize industries. China's resolve in the AI race is evident through its investments and ambitions.

With a focus on self-sufficiency and innovation, China aims to compete globally in the AI sector. The rivalry between the U.S. and China extends beyond AI capabilities to applications and integration across industries, where the winner will be determined by finding the right formula for success.

China's State Taxation Administration is clarifying tax rules for China's ultra-wealthy to align technical details on offshore trusts. Manus is set to resume operations as an independent company after demands from Chinese regulators to unwind Meta's acquisition. The China-made C919 aircraft has made its first international flight between Beijing and Ulaanbaatar, Mongolia. Tencent reported a surge in spending on AI infrastructure, defending its potential for 'superior' AI returns.

Unitree's IPO is expected this week, with upcoming events including Pony.ai earnings, the World Robot Conference, Alibaba earnings, and the World Humanoid Robot Games in Beijing. Stay informed with CNBC for the latest updates in business news.