前言 传统投研依赖人脑归纳；未来投研依赖人机协作。AI不会替代分析师，但一定会替代不会用AI的分析师。 投研正在被重新定义 过去一年，我在无数场直播、线下会、甚至饭局上，都被问到同一个问题：AI 到底会不会取代投资研究分析员？ 这是一个好问题，但也是一个旧问题。 更现实的提问应该是：在AI主导的世界里，谁能成为被AI放大的那群人？ 我一直强调，未来的分析师，不是"看报告"的人，而是"训练AI去看报告"的人。当OpenAI、Anthropic、百度、阿里都在加速智能体（Agent）的生态建设 时，整个金融行业的工作方式，也在发生底层重构。 很多人还没意识到，AI正在让"投研门槛"发生变化。 在过去，你要做投研，需要三样东西：数据、模型、时间。数据要买、模型要建、时间永远不够。这决定了研究始终是少数人的专属游戏。 （我毕业后的第一份工作就是干这个，这是我当时的工位 但AI打破了这个壁垒。现在，一个GPT或Claude的智能体，就能在几分钟内：阅读上百页财报；抽取经营核心指标；分析上下游企业；给出初步估值逻 辑。 换句话说，AI已经让"一个人+一台电脑"变成"一支研究团队"。Reportify的使命，就是把这支"A ...

Core Viewpoint - The article discusses the insights from the new book "2049: The Possibilities of the Next 10,000 Days" by Kevin Kelly and Wu Chen, which explores the transformative trends in technology, society, and economy over the next 25 years, emphasizing concepts like the mirror world, AI collaboration, genetic revolution, space economy, and "Cool China" [1][6]. Summary by Sections Insights from "2049" - The book serves as a guide for navigating an uncertain future, focusing on the framework of thinking rather than specific predictions [6]. - It highlights the tension between the acceleration of AI and the persistence of industrial-era systems, suggesting that significant changes will take time [6][7]. The Concept of the Mirror World - The mirror world represents a new paradigm of human-computer interaction, moving beyond traditional interfaces to a more immersive experience [12]. - It requires a virtual engine, termed Universal Personal Agent (UPA), which acts as a personal assistant, enhancing communication and interaction [13][15]. Impact on Education - The book posits that AI will fundamentally disrupt traditional education systems, moving from a scarcity of resources to a more abundant and personalized learning experience [20][21]. - It suggests that the role of education will shift from credentialing to fostering genuine skills and connections among individuals [22][23]. The Future of Work and AI - The discussion includes the potential for AI to replace certain tasks but emphasizes that it will also empower individuals, changing the nature of work rather than simply eliminating jobs [8][9]. - The relationship between humans and AI is framed as one of collaboration rather than competition, with AI serving as a tool for enhancement [9][10]. The Cool Economy - The article introduces the idea of a "cool economy," where emotional value and cultural connections become paramount, moving beyond mere functionality [36][38]. - It emphasizes the importance of creativity and personal expression in a future where technology enables diverse and individualized experiences [39][40]. Content Creation and Individual Empowerment - The potential for a content explosion is highlighted, where anyone with a good idea can create and share content, facilitated by AI tools [42][43]. - The concept of "super individuals" emerges, where personal insights and unique perspectives can thrive in a digital economy [43]. Healthcare Transformation - The article hints at the transformative impact of AI on healthcare, suggesting that it will lead to more personalized and efficient medical services [45].

Core Viewpoint - The article highlights an upcoming live discussion featuring prominent figures in technology and economics, focusing on their new book "2049: The Possibilities of the Next 10,000 Days," which explores significant changes in technology, society, and the economy over the next 25 years [1]. Summary by Sections - The live event will feature Shitai Feng, a partner at Chongyang Investment, and Wu Chen, a renowned financial writer and former editor of "The Economist: Business Review," discussing the insights from their collaboration with Kevin Kelly, a notable technology thinker [1]. - Kevin Kelly is recognized for his foresight in predicting trends such as the internet, artificial intelligence, and the sharing economy, while Wu Chen is known for his deep exploration of technological innovation and global trends [1]. - The book "2049" serves not only as a futurist work but also as a guide for navigating uncertainties in the coming years, covering topics from "mirror worlds" to AI collaboration, genetic revolutions, and space economy [1].