China's Strategic Leadership in the Global AI Race

The CKGSB released a white paper detailing China's strategic position in the global AI race, emphasizing its strengths in manufacturing, data, and its startup scene. The report explores AI's impact across open-source AI, workforce transformation, robotics, and ecosystem development, with significant implications for U.S.-China tech rivalry.


Devdiscourse News Desk | Beijing | Updated: 01-07-2025 17:38 IST | Created: 01-07-2025 17:38 IST
China's Strategic Leadership in the Global AI Race
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Cheung Kong Graduate School of Business (CKGSB) has unveiled a white paper, 'China and the Global AI Race,' underlining China's efforts to bolster its leadership in the artificial intelligence sector. The report describes China's unique capabilities in manufacturing, access to rich data, and a rapidly evolving startup environment as key components driving its AI ambitions.

Insights shared by CKGSB faculty and industry experts paint a comprehensive picture of China's AI strategy, highlighting four critical areas: open-source innovations, workforce evolution, advancements in intelligent robotics, and AI ecosystem development. The white paper delves into how open-source AI is reshaping technology landscapes, referencing the DeepSeek R1 model's potential impact on cost-efficiency and its strategic importance amid the ongoing U.S.-China tech competition.

The analysis extends to the workforce dimension, detailing how AI technologies are not eradicating jobs but reshaping them by creating new skill demands. The paper frames a narrative where 'AI Architects' will emerge, redefining leadership roles. In robotics, the potential for AI growth is seen as significant, with China's advanced smart vehicle industry poised for major contributions. Overall, the document positions China as a forward-thinking participant in the AI realm.

(With inputs from agencies.)

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