China boosts power investment to lead US in AI race

China's State Grid Corporation plans to invest 4 trillion yuan (US$574 billion) by 2030 to build a more efficient power system integrating renewables, aiming to secure an edge in the US-China tech rivalry. Experts note that electricity is China's undeniable advantage in the AI race.

China boasts the world's largest power system, and Beijing is moving to lock in this advantage through record investment. The State Grid Corporation of China expects to invest 4 trillion yuan (US$574 billion) by 2030, a company record, to accelerate the building of a “new-type power system”—a more efficient and flexible grid designed to integrate renewables. The expansion could raise electricity’s share of end-use energy consumption to 35 per cent, with about 200 gigawatts of wind and solar capacity added annually, the company announced on Thursday.

“In the AI race, computing power comes down to chips, electricity and algorithms – and electricity is the one area where China holds an undeniable advantage,” said Peng Peng, executive chairman of the Guangdong Society of Reform, a think tank affiliated with the provincial government.

This initiative comes amid intensifying US-China tech rivalry, with the US pressuring China on chips, while China bolsters its power infrastructure to support AI growth. Keywords from the National Energy Administration include AI, SpaceX, Tesla, and Elon Musk, but the focus is on electricity's role in powering AI.

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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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China's AI sector tops $165 billion in 2025, minister says

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The output of China's core artificial intelligence industry exceeded 1.2 trillion yuan ($165 billion) in 2025, with more than 6,200 companies operating in the field, said Li Lecheng, head of the Ministry of Industry and Information Technology. The remarks came after the opening meeting of the fourth session of the 14th National People's Congress in Beijing on Thursday.

AlibabaのJoe Tsai会長は、中国が人工知能(AI)分野で優位に立っている理由として、電力網への投資とオープンソースモデルの活用を挙げました。同氏は、こうした大規模な投資が、エネルギー消費の激しいAIセクターに対して十分な供給と低コストを実現していると述べています。Tsai氏は、中国の産業の厚みがAI活用の大きな可能性を支えていると強調しました。

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Lu Tiezhong, chairman of China National Nuclear Power Co (CNNP), has proposed steady development of nuclear power to meet the surging energy demands of the AI industry and accelerate the construction of a modern energy system. In his submissions to the National Committee of the Chinese People's Political Consultative Conference this year, he highlighted that global tech giants are increasingly turning to nuclear energy to address high-energy consumption challenges from AI computing. As a stable, reliable, and zero-carbon baseload energy source, nuclear power is positioned to support high-load, nonstop facilities like AI data centers.

At COP30 in Belém, Brazil, China positioned itself as a green economy leader, proposing to cut emissions by 7-10% by 2035. The country dominates global production of clean technologies like solar panels and electric vehicles, despite being the top CO₂ emitter due to coal plants.

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Investor jitters are growing in the US as AI reshapes expectations, but China's markets have so far reacted with caution rather than panic. Artificial intelligence is already reshaping industries and markets, even though artificial general intelligence (AGI) has yet to be achieved. China's tech stocks have largely held steady amid recent domestic AI advancements.

China’s tech giants, including ByteDance, Baidu, Alibaba Cloud and MiniMax, are actively recruiting fresh talent in AI and semiconductors in the US. This overseas hiring spree highlights their ambitions to build up skilled workforces in AI systems development and semiconductor design amid intensifying competition in their home market.

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The rapid expansion of data centres driven by artificial intelligence poses risks to South Africa's already strained electricity and water supplies. Global forecasts predict a sharp rise in energy demands, with local facilities already consuming significant power. Experts urge greater transparency and resource management to mitigate potential shortages.

 

 

 

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