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On October 31, 2026, CATL Chairman Zeng Yuqun said at the 2026 World Laureates Forum that the energy density of existing batteries is still insufficient to support broader applications, and that the company is using large language models to empower scientific discovery. According to reports by Cailian Press and Shangguan News, Zeng Yuqun introduced that CATL, relying on more than 1 trillion pieces of test data and a self-developed AI-native research system, connects wet laboratories with dry laboratories to accelerate discoveries in the field of electrochemistry. The reports also mentioned that CATL holds a 39% global market share in electric vehicles and 30% in energy storage systems, and has established a US$5 million dedicated capital fund, paying patent fees proportionally from the revenue of each battery. At present, this statement has been reported by two media outlets, with no subsequent developments yet.
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Oct 31
Cailian Press
CATL's Zeng Yuqun: Battery Energy Density Still Insufficient, Using Large Language Models to Accelerate Electrochemical Discovery
Zeng Yuqun, Chairman of CATL, said at the 2026 World Laureates Forum that existing battery energy density is still insufficient to support broader applications, and the company is using large language models to empower scientific discovery, relying on more than 1 trillion test data entries and a self-developed AI-native research system to connect wet labs and dry labs. CATL holds a 39% global market share in electric vehicles and 30% in energy storage systems, and has established a US$5 million dedicated capital fund, paying patent fees proportionally from the revenue of each battery.
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Shanghai Observer
CATL's Zeng Yuqun: Battery Energy Density Still Insufficient, Using Large Language Models to Accelerate Electrochemical Discovery
Zeng Yuqun, Chairman of CATL, said at the 2026 World Laureates Forum that existing battery energy density is insufficient to support broader applications, and the company is using large language models to empower scientific discovery in the field of electrochemistry. CATL possesses more than 1 trillion test data records and has developed its own AI-native research system that connects wet laboratories with dry laboratories. He also revealed that the company has established a dedicated capital fund of $5 million and pays patent fees at a certain percentage from the revenue of each battery.
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