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China's 15th Five-Year Plan for AI vs. Google's AI Efficiency Tech
China's 15th Five-Year Plan for AI and Global Influence
China's '15th Five-Year Plan' (2026-2030) designates the digital industry, with a strong focus on Artificial Intelligence (AI), as a top priority after the economy and science-technology. The plan includes fully implementing the 'AI+' action to seize commanding heights in AI industrial applications, empower various sectors, and build a global digital partnership network. It also aims to construct offshore computing facilities and cross-border data flow service infrastructure, actively participate in international AI governance, and support AI capacity building in Global South countries. This is a continuation of the 2017 State Council's 'Next Generation AI Development Plan,' which aims for China to become a global leader in AI by 2030.
Strengthening 'Digital Authoritarianism' and Surveillance Concerns
Wang Xiouwen, an assistant research fellow at Taiwan's Institute for National Defense and Security Research, analyzed that the 'AI+' action in China's '15th Five-Year Plan' aims to expand AI applications across various industries for large-scale implementation, ultimately establishing a 'digital state' and 'digital authoritarianism.' Since the early days of the internet, China has built the 'Golden Shield' project to block online content, asserting 'cyber sovereignty' and isolating its internet from the global one. Foreign platforms like Google and Wikipedia were blocked, while domestic alternatives like Baidu and WeChat were developed. These platforms are legally required to cooperate with the government on national security and intelligence, assisting surveillance and providing backdoor access to encrypted data. President Xi Jinping has designated the internet as a 'main battlefield for ideological struggle, directly related to ideological security and regime security,' tightening controls.
Google's AI Model Efficiency Improvements and Industry Shift
In contrast, Google recently unveiled 'TurboQuant' technology, which reduces AI model memory usage, signaling a shift in the AI industry's competitive landscape. This suggests that rather than solely competing on the size of large models, technologies that reduce inference costs and increase memory efficiency have become crucial. Domestic AI lightweighting and optimization specialized startups are also expanding collaboration opportunities with global companies, enhancing their presence. This indicates that the direction of AI technological advancement is moving beyond merely increasing model size to prioritizing efficiency and practicality.
*Source: 大紀元, 매일경제 (2026-04-05)*
