Chinese minister announces China's AI sector exceeding $165 billion at National People's Congress, with futuristic AI graphics on display.
Chinese minister announces China's AI sector exceeding $165 billion at National People's Congress, with futuristic AI graphics on display.
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中国人工智能产业2025年产值超1650亿美元,部长表示

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中国工业和信息化部部长李乐成表示,2025年中国核心人工智能产业产值超过1.2万亿元人民币(1650亿美元),从事该领域的企业超过6200家。此言于全国人大第四次会议开幕后提出,凸显政府推动技术升级以支持经济增长的努力。

在北京市举行的第十四届全国人民代表大会第四次会议开幕会议后,中国工业和信息化部部长李乐成表示,中国人工智能产业快速发展,得益于政府推广先进技术以支持产业升级和经济增长。2025年,该产业产值超过1.2万亿元人民币,约合1650亿美元,参与企业超过6200家。

李乐成指出,过去一年,中国开源人工智能模型的全球下载量最高,反映出中国开发模型在世界范围内的日益采用。此外,到2025年底,超过30%的大型制造业企业已将人工智能技术应用于运营。同时,中国企业已推出超过300款人形机器人模型。

政府工作报告中提交的议案强调,将推进和扩大“人工智能+”倡议,促进新一代智能终端和人工智能代理的更快应用,并在关键部门和领域鼓励人工智能的大规模商业应用。这反映了中国在科技自立自强方面的重点,尤其是在与美国的竞争背景下。

财政部在年度立法会议期间发布的预算报告草案显示,科学领域拨款达4264.2亿元人民币(617亿美元),同比增长10%,为政府主要支出领域中增长幅度最大,超过国防、外交、公共安全和教育。该拨款定位未来能源、脑机接口和卫星互联网等前沿领域为中国未来产业,并加大科技支出以支持它们。

这些发展凸显了中国在人工智能领域的全球雄心,以及通过创新驱动经济转型的承诺。

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Realistic illustration of China's 2026 Two Sessions press conference highlighting GDP growth targets and leaders including Premier Li Qiang and Xi Jinping.
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Economy press conference highlights from China's 2026 Two Sessions

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Following Premier Li Qiang's government work report setting a 2026 GDP growth target of 4.5-5%, Zheng Shanjie of the National Development and Reform Commission projected over 6 trillion yuan GDP growth this year at the NPC economy press conference. The service sector is expected to exceed 100 trillion yuan during the 15th Five-Year Plan (2026-2030). Leaders including Xi Jinping emphasized high-quality development amid the sessions.

China's vice minister of industry and information technology, Zhang Yunming, said at a January 22 press conference that the number of AI firms exceeded 6000 in 2025, with the core industry expected to surpass 1.2 trillion yuan. The sector highlighted how advanced manufacturing and AI-driven industries provided strong momentum for growth, boosting manufacturing value added by 5.9%.

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China's National People's Congress held a press conference on Wednesday, where spokesperson Lou Qinjian highlighted major advances in the domestically developed humanoid robot industry. He stated that 2025 marks a pivotal moment with breakthroughs in technological innovation and real-world applications. The event also explored how 'AI+' could open new frontiers for consumption.

Analysts suggest China’s rapid AI adoption may limit the economic fallout from its rapidly ageing population. As fertility rates fall across Asia, sustaining growth with fewer workers poses a daunting challenge. The region’s deep semiconductor, tech hardware, and machinery ecosystems enable faster and cheaper deployment than other regions.

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Hong Kong is advancing an “AI for all” initiative to integrate artificial intelligence across society, including an allocation of HK$50 million for public awareness and skills-building through AI courses, seminars, and competitions on responsible use. The Employees Retraining Board will be rebranded as “Upskill Hong Kong” to offer skills-based AI training for workforce competitiveness. Industry leaders like Keith Li King-wah of Innopage have been adapting to the technology ahead of these government efforts, which also involve a major overhaul of school curricula and vocational retraining.

China's Ministry of Transport and three other government bodies have released an action plan to deeply integrate artificial intelligence into the shipping industry by 2027, including at least three pilot zones and more than 100 smart vessels. The strategy aims to bolster maritime operations and address bottlenecks amid global competition. By 2030, Beijing seeks to fully master key technologies and achieve a globally advanced level.

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According to data from the National Development and Reform Commission, China's total social logistics costs as a share of GDP fell to 13.9 percent in 2025, the lowest on record, down from 14.1 percent in 2024. This equates to 13.9 yuan (US$2.01) spent on logistics for every 100 yuan of economic output, signaling improved supply-chain efficiency. AI and delivery drones have played a key role, though challenges remain.

 

 

 

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