Core Insights - The application of AI in quantitative private equity has become a significant focus, with firms like DeepSeek leading the charge in this area [1][2] - Major quantitative private equity firms are heavily investing in AI research and development, indicating a competitive landscape [2][3] Group 1: AI Investment Trends - In the first half of 2025, the integration of AI in quantitative private equity is highlighted as a key direction, with firms like Ming Shi Fund increasing investments in supercomputing and AI strategy development [1] - DeepSeek, established by Huanfang Quantitative, has gained attention, with its founder Liang Wenfeng being a prominent figure in the industry [2] - Leading firms such as Kuande and Jiukun have publicly announced their commitment to enhancing AI research and development [3] Group 2: Performance Metrics - Huanfang Quantitative's product, Jiuzhang Huanfang CSI 500 Quantitative Multi-Strategy No. 1, reported a year-to-date return of 18.08% and a cumulative return of 394.05% since inception [2] - The average return for quantitative private equity firms this year is reported at 6.85%, with some individual products performing above this average [4] Group 3: Internal Conflicts - Jingqi Investment faced internal turmoil with the resignation of its controlling person, Fan Siqi, who cited management and coordination challenges as reasons for his departure [4] - Following his resignation, Fan Siqi accused the company of orchestrating a planned removal, claiming he lost access to critical operational tools and communication channels [5] - Despite the turmoil, Jingqi Investment clarified that the funds managed by Fan Siqi represent a small portion of the company's total assets under management, indicating limited impact on overall operations [4][5]

Core Viewpoint - The article highlights the increasing integration of AI in quantitative private equity firms in China, showcasing the significant advancements and performance improvements achieved through AI technologies in investment strategies [2][5][9]. Group 1: Company Developments - NianKong Technology has collaborated with Shanghai Jiao Tong University to submit a research paper on large language models, indicating its commitment to AI research [2]. - The company has established Shanghai QuanPin Siwei Artificial Intelligence Technology Co., Ltd. to focus on cutting-edge AI research [2]. - NianKong Technology has fully replaced traditional statistical arbitrage strategies with deep learning-based machine learning algorithms across all its stock strategy products [2]. Group 2: Performance Metrics - NianKong Technology's quantitative products have shown impressive performance, with an average return of ***% over the past year [2]. - Among the 15 billion AI quantitative private equity firms, 13 have reported products with performance data, achieving an average return of 29.91% over the past year [7]. - The average returns for these firms over three years and five years are 41.15% and 117.06%, respectively [7]. Group 3: Industry Trends - The number of billion-dollar quantitative private equity firms in China has reached 39, with 15 actively engaging in AI-related investments [3]. - The trend of integrating AI into quantitative investment strategies has been accelerated since the emergence of DeepSeek, a significant AI model in the industry [4]. - The application of AI technologies is seen as a key factor for survival and competitiveness in the quantitative investment sector [25].