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Chinese artificial intelligence models may be slightly behind those developed in the U.S., but Chinese AI apps are expected to gain rapid traction, according to Kai-Fu Lee, former head of Google China. He mentioned that Chinese large language models (LLMs) are around six to nine months behind their American counterparts, while less advanced Chinese models could lag by about 15 months. Lee, known for his expertise in AI and author of “AI Superpowers: China, Silicon Valley, and the New World Order,” made these remarks at the AVCJ Private Equity Forum China recently.
Lee also predicted that Chinese AI apps will proliferate at a faster pace in China than in the U.S. due to the reduced cost of training good AI models. He emphasized the inevitability of China developing the best AI apps globally, although he noted the uncertainty of whether these apps would come from major corporations or smaller enterprises.
The industry is anticipated to see a shift towards generative AI consumer applications in the next five to eight years, potentially leading to the development of a “super app” capable of performing various tasks. Lee highlighted the need for new devices designed specifically for these applications, mentioning that the ideal device should be always on and always listening.
Several major Chinese companies, such as Alibaba and Tencent, have already launched their AI models and business products, while also investing in AI startups. For instance, Beijing-based ShengShu Technology, supported by Alibaba-affiliate Ant Group, recently announced enhancements to its text-to-video model Vidu. This new feature aims to improve the portrayal of main elements or characters in AI-generated video clips, offering advertisers an opportunity to create more engaging promotional content. Vidu, which was introduced earlier this year, provides basic tools to the public with advanced features available through subscription. Co-founder and CEO Jiayu Tang revealed that multiple companies have shown interest in ShengShu’s services, indicating a growing demand for innovative AI solutions in the market.
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Emily Jensen, graduated from the London School of Economics and Political Science (LSE) in the UK in 2015 with a degree in Economics. She specializes in financial markets and international trade. After graduating, she worked as an analyst at an investment bank in London, where she developed expertise in global economic trends. She later transitioned into consulting, focusing on fintech ventures and providing insights into global economic developments. Emily is passionate about the intersection of finance and technology and aims to drive innovation in the financial sector.
