The Global Race for AI Dominance

01-三月-2026

The Global Race for AI Dominance

Talal Abu Ghazaleh

For many years, I have emphasized that China has been evolving to become a major technological power, directly competing with the US tech sector. Based on close analysis of realities, I also anticipated how China would emerge as a leader in Artificial Intelligence (AI) field, driven by a strong national focus and large-scale technological initiatives launched by the Chinese government in science and technology to place itself at the forefront globally.
With its extensive experience in manufacturing and production, China has effectively completed the cycle by producing high-level scientists and experts in innovation and design, making it largely self-sufficient in multiple sectors, especially technology.

This was likewise anticipated by the NVIDIA CEO, Jensen Huang. For those unfamiliar with NVIDIA, it is the world’s leading chip producer specializing in Graphics Processing Units (GPUs) technology, designed for graphic-intensive applications that require large data processing thanks to its ability to perform vast numbers of calculations at high speed. NVIDIA’s GPUs are considered the preferred technology for powering AI data centers, driving global demand and significantly boosting the company’s share price in recent years, placing NVIDIA among the world’s most valuable companies, with an estimated valuation exceeding $5 trillion.

At a recent AI summit in London, Huang stated, “China will win the AI race”, highlighting the country’s excellence in energy availability and research resources. He noted that any US restrictions on advanced chip exports could ultimately accelerate China to develop its domestic alternatives, given its technological capabilities and expertise. Huang further added that while the US still has a chance to win the AI race, it faces significant challenges that must be addressed to sustain its competitive position.
Moreover, Huang also emphasized that access to electricity is a decisive factor in AI development. He pointed that while the US faces fragmentation in its energy landscape, China has addressed this challenge through strong government support and long-term planning to build and operate energy-intensive data centers, alongside a centralized education strategy focused on STEM disciplines.

China’s dominance in global patent fillings indicates a wider shift in global innovation leadership, especially in the fields of AI and emerging technology, producing more than 70% of generative AI patent worldwide. The US remains competitive in foundational research and developer ecosystems, however, it risks falling behind in intellectual property accumulation and the speed of commercialization.

It is evident that China is simply no longer catching up; it is now setting the pace in global technological competition. Its capacity to coordinate industrial policy, education, infrastructure, and innovation within a unified national strategy has created a highly powerful ecosystem that is difficult to compete with. 
The US continues to maintain talent and institutional strength, but now faces a fierce competitor that not only matches its technological capabilities, but often, in some cases, surpasses it in speed, scale, and strategic clarity.

The AI race is rapidly evolving in real time, and its outcome will shape the geopolitical and economic balance of the 21st Century.




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