The Tech Download: Will China win the AI race?

Recent insights indicate that within the next five to ten years, a significant portion of the global population might be relying on a technology ecosystem developed in China. This perspective was shared by Rory Green, TS Lombard's chief China economist, during a discussion on CNBC's 'Squawk Box Europe.' He suggested that China's rapid advancements in artificial intelligence (AI) are challenging the United States' long-standing dominance in the tech sector. As China accelerates its efforts to develop artificial general intelligence (AGI)—an AI capable of human-like reasoning—the competition with the U.S. intensifies. This race is highlighted by Chinese companies making headlines on stock exchanges and the emergence of local AI chip manufacturers aiming to rival industry leader Nvidia. The year 2025 marks a critical point for Western observers, who are beginning to take notice of Chinese AI firms like DeepSeek, which have already sparked market excitement. Despite their growing capabilities, analysts like Paul Triolo from DGA-Albright Stonebridge Group caution that these companies still face significant hurdles, particularly in computing power. Export restrictions on advanced Nvidia GPUs pose substantial challenges for scaling AI development. In a December paper, DeepSeek acknowledged its limitations when compared to advanced closed-source models like Gemini 3, particularly regarding computational resources. A technical lead from Alibaba's Qwen team has suggested that the chances of a Chinese firm surpassing U.S. tech giants in AI over the next three to five years are slim, with estimates below 20%. However, Chinese AI firms do hold certain advantages. One notable area is their efficiency-driven approach to model development, achieving impressive performance while keeping computing costs lower. Nick Patience, AI lead at The Futurum Group, noted that Chinese labs have made significant strides in improving inference efficiency and quantization techniques, which are becoming increasingly relevant in the industry. Additionally, China's energy landscape is evolving rapidly, with the country adding more power capacity than the U.S. in the past four years, facilitating the growth of data centers and AI infrastructure. By introducing competitive open-source AI models, Chinese labs are beginning to undermine the competitive edge that U.S. companies have relied on for their closed models. As the competition transitions from merely performance-based metrics to realizing value, this could provide a notable advantage for Chinese firms. Green's prediction about a potential Chinese tech stack gaining traction in parts of the Global South, where cost is a primary concern, reflects a plausible long-term scenario, although it remains speculative. Despite China's advancements, the U.S. retains significant strengths, particularly in advanced semiconductors, leading-edge research, and investment capabilities. The global AI landscape is expected to evolve into a multi-polar system, with various regions contributing to different layers of technology rather than being dominated by a single entity. As AI continues to permeate all aspects of society, industry leaders, including the CEO of Mistral AI, predict that over half of current enterprise software could eventually be replaced by AI. In a related development, Meta has secured a substantial chip agreement with Nvidia, indicating ongoing advancements in the sector. As geopolitical tensions rise, Europe is also striving to reduce reliance on U.S. digital services. Finally, a recent indictment of three Silicon Valley engineers accused of stealing trade secrets from Google and transferring sensitive data to Iran underscores the competitive and sometimes contentious atmosphere surrounding technological advancements. Microsoft President Brad Smith has noted that American tech firms should be vigilant about the advantages Chinese competitors gain from government subsidies in the AI race.