China’s hedge fund industry is undergoing a dramatic transformation as artificial intelligence (AI) takes center stage, driven by the success of High-Flyer, a prominent Chinese hedge fund that has integrated AI into its multi-billion-dollar portfolio. High-Flyer’s innovative approach to AI in trading, along with its DeepSeek AI startup, has sparked a race among mainland Chinese asset managers to adopt AI technologies, potentially disrupting the $10 trillion fund management market.
High-Flyer‘s success in leveraging AI to process market data and develop trading strategies has prompted other Chinese hedge funds, such as Baiont Quant, Wizard Quant, and Mingshi Investment Management, to enhance their own AI research. These funds are now accelerating their AI development efforts to stay competitive. According to Feng Ji, CEO of Baiont Quant, “We are in the eye of the storm” of an AI revolution, emphasizing that skepticism about AI-powered trading is quickly fading. “Two years ago, many fund managers mocked us AI-powered quants. Today, those who don’t embrace AI could be out of business.”
While these funds are largely focused on using AI for market analysis and generating trading signals based on investor risk profiles, the ambition is clear: to develop cutting-edge AI models like DeepSeek. This AI model, which stunned Silicon Valley with its low-cost capabilities, has significantly reduced barriers for Chinese funds to incorporate AI into their operations.
As more Chinese hedge funds look to replicate the success of U.S. systematic trading firms like Renaissance Technologies and D.E. Shaw, competition for “alpha” (outperformance) is intensifying. Wizard Quant, for example, recently announced plans to recruit top AI researchers to reshape the future of science and technology in trading. Meanwhile, Mingshi Investment is expanding its AI capabilities with its Genesis AI Lab and UBI Quant has been working on AI research for years.
The demand for highly skilled coding talent is escalating as these funds race to develop superior trading strategies using AI. In response, local authorities, like the government of Shenzhen, have pledged to invest in hedge fund computing needs, with plans to subsidize AI computing power to the tune of 4.5 billion yuan ($620.75 million).
On the mutual fund front, many Chinese retail fund companies are also jumping on the AI bandwagon. Firms such as China Merchants Fund, E Fund, and Dacheng Fund have successfully deployed DeepSeek, benefiting from its cost-effective AI solutions. According to Hu Yi, Vice General Manager at Zheshang Fund, DeepSeek has made AI accessible to the wider mutual fund industry, allowing funds to automate tasks like market signal monitoring and report generation. This frees up human resources for more strategic, creative roles.
In a broader context, DeepSeek‘s open-source, low-cost large language model has leveled the playing field for smaller Chinese fund managers, previously at a disadvantage compared to their larger U.S. counterparts. As Larry Cao, Principal Analyst at FinAI Research, explains, “Before DeepSeek, AI had mostly been reserved for top-tier players due to the high cost, talent, and technology requirements.”
Baiont’s Feng Ji highlights how AI has democratized access to expertise, enabling newer firms to challenge established players. “With AI, you can acquire 20 years of experience in just two months,” he said, noting that his own five-year-old fund, managing 6 billion yuan, has already surpassed many older rivals in terms of performance.