纪源资本，杀回来了

Core Insights - The article discusses the strategic positioning and investment plans of Jiyuan Capital, highlighting a significant increase in investment scale and team growth, indicating a strong return to the market [3][5]. Investment Strategy - Jiyuan Capital plans to invest 2.5 times more in 2025 compared to 2024, targeting a total investment of 2.5 billion RMB, with over 2 billion RMB already returned from exits [3]. - The firm aims to focus on AI applications and embodied intelligence, with a substantial portion of the investment directed towards these sectors [10]. Team Development - The team at Jiyuan Capital has grown from 73 to 82 members, with two new partners promoted from within, indicating a commitment to internal talent development [4]. - The leadership emphasizes the importance of connecting Chinese entrepreneurs with Asian and overseas markets, positioning the firm as a "super node" in the investment landscape [5]. Market Trends - The article notes that the current generation of AI entrepreneurs is perceived as exceptionally talented, influenced by figures like Elon Musk, and is expected to address deeper value questions regarding the future of work [7][8]. - Jiyuan Capital recognizes the shift in investment paradigms from mobile internet to AI, while maintaining a consistent logic in selecting people to invest in [6][10]. Sector Focus - The firm is particularly interested in vertical applications that address specific needs, with a preference for strong teams and reliable founders [10]. - Hardware investments are gaining traction, driven by a combination of supply-side talent density and demand for innovative product experiences [11]. Future Outlook - Jiyuan Capital is preparing to organize an AI robotics Demo Day in Singapore, aiming to connect promising Chinese companies with local resources and government entities [14]. - The firm believes that the current competitive landscape requires a focus on consolidating resources in the most promising sectors, rather than spreading investments too thinly [14].