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    🇨🇳China·AI News·18 Jun 2026·via SCMP

    US AI dominance vulnerable to China amid long-term ‘structural challenges’, scholar says

    A prominent Chinese scholar suggests that the United States’ dominance in artificial intelligence could be challenged by China within the next two decades. Li Cheng, founding director of the Centre on Contemporary China and the World (CCCW) at the University of Hong Kong, co-authored a paper highlighting China’s advantages in energy and industrial applications as key factors that could erode America’s AI lead. While the US currently holds an edge in cutting-edge chips, these structural advantages could allow Beijing to dismantle Washington’s AI supremacy. This assessment underscores a potential shift in the global AI landscape, with significant implications for technological leadership.

    Nexa's Summary

    This analysis from a leading Chinese scholar underscores the intensifying AI competition between the US and China, a dynamic that profoundly impacts Asia’s tech ecosystem. China’s strategic focus on energy and industrial applications for AI, as highlighted by Li Cheng, indicates a pragmatic approach to leveraging its existing strengths. This contrasts with the US’s emphasis on advanced chip technology, suggesting a divergence in AI development pathways that could lead to different areas of global leadership.

    For Asian markets, this competition presents both challenges and opportunities. Countries in the region, many of whom are deeply integrated into global supply chains, will need to navigate the implications of a bifurcated AI landscape. The potential for China to establish a strong “AI moat” through industrial applications could create new regional standards and market demands, influencing investment flows and technological partnerships across Asia. This strategic rivalry will likely accelerate innovation within the continent, as nations seek to develop their own AI capabilities and secure their positions in the evolving global tech order.

    Original reporting by SCMPWe don't republish, read the full story →

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