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Chinese Hedge Funds Embrace AI, Challenging Western Dominance in Fund Management

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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.

Quantum Computing Stocks Surge Following D-Wave’s Positive Forecast

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Shares of quantum computing companies saw notable gains on Thursday, outperforming the broader market after D-Wave Quantum (QBTS.N) issued a strong quarterly revenue forecast. D-Wave‘s stock jumped 15%, reaching $6.71, after the company projected its current-quarter performance would exceed analysts’ expectations. This followed an 8% increase on Wednesday, which was fueled by the publication of a peer-reviewed paper in Science, showing that its quantum computer surpassed one of the world’s most powerful classical supercomputers.

Quantum computing relies on quantum mechanics, which gives it a performance advantage over traditional computers, allowing faster and more efficient processing through parallel operations and the ability to predict multiple outcomes simultaneously.

Other quantum computing stocks also saw significant gains. Quantum Corp (QMCO.O) surged 26%, marking its largest daily percentage increase since February. Quantum Computing Inc (QUBT.O) also rose by 2%, while the broader market struggled, with the Nasdaq Composite down more than 2% in the afternoon.

The quantum sector is gaining increasing attention, with experts comparing it to the early stages of artificial intelligence (AI). Jake Dollarhide, CEO of Longbow Asset Management, noted that quantum computing is still in its “embryonic stage” and predicted rapid growth, with the sector becoming a focal point on Wall Street.

While most stocks in the sector saw gains, IonQ (IONQ.N) struggled, with its shares falling 5.3% to $20.68 after Kerrisdale Capital announced a short position on the stock. IonQ has seen significant volatility, down nearly 50% year-to-date following a more than 200% rise in 2024.

Tesla Collaborates with Baidu to Improve Assisted Driving in China

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Tesla is working with Baidu, a Chinese tech giant, to enhance the performance of its advanced driving assistance system (ADAS) in China, according to two sources familiar with the matter. This collaboration follows criticism from customers over a recent update to Tesla’s Full Self-Driving (FSD) Version 13 software, which failed to meet expectations.

Baidu has sent a team of engineers from its mapping division to Tesla’s Beijing office to improve the integration of Baidu’s navigation maps with Tesla’s FSD V13. The goal is to refine the system’s understanding of Chinese roads, including lane markings and traffic light signals, making it more accurate and up-to-date. The exact number of engineers or the financial terms of the collaboration were not disclosed.

This partnership comes as Tesla faces challenges with data and regulatory restrictions imposed by both Beijing and Washington, hindering its ability to bring its full Autopilot and FSD systems to its second-largest market. Unlike in the U.S., where Tesla trains its AI with data from its own fleet, it cannot do so in China due to local data laws. This has led to increasing pressure from competitors like BYD and Xpeng, which offer similar technology without charging extra fees.

The updated software, released in February, aimed to add urban navigation features but faced backlash for not delivering the promised full FSD functionality in China. Tesla’s FSD V13 had not been sufficiently trained to navigate Chinese streets, causing drivers to encounter frequent traffic violations such as incorrect lane changes and running red lights.

The partnership with Baidu, a dominant map provider in China, aims to resolve these issues by improving the mapping capabilities and providing more accurate navigation data. Tesla has been relying on Baidu for mapping services since 2020.

This collaboration comes as Tesla’s market share in China declined for the first time last year, dropping from 11.7% to 10.4% in 2024, according to recent data. Meanwhile, local competitors have been pushing sales more aggressively. In the U.S. and Europe, Tesla has faced a slowdown in demand, putting further pressure on its performance in China.

Despite the regulatory challenges and competition, Tesla remains focused on rolling out full FSD technology in China this year. However, it remains unclear how soon the collaboration with Baidu will lead to a resolution of the system’s issues.