全球市值最高的 AI 芯片巨头英伟达（NVIDIA）周三公布的财报及业绩指引，为持续两年的 AI 投资热 潮浇下一盆冷水。尽管第二财季营收略超预期，但第三季度营收预测平平，且明确未包含中国数据中心 业务收入，这一表现不仅引发市场对 AI 投资增速放缓的担忧，更直接导致公司盘后股价下跌 3%，拖 累美股期货同步走低。作为标普 500 指数核心成分股，英伟达的业绩波动不仅关乎自身估值，更牵动着 全球 AI 产业格局与资本市场走势。 业务板块表现分化明显。作为核心增长引擎的数据中心部门，营收达 411 亿美元，同比增长 56%，但 略低于 413 亿美元的预期，且占总营收比重从去年同期的 88% 微降至 88%，增长动能边际减弱。曾是 英伟达 "基本盘" 的游戏业务表现尚可，收入 42.9 亿美元，高于 38 亿美元的预期，同比增长 13%；但 汽车业务未能达标，销售额 5.86 亿美元，同比小幅下滑 7%，多元化布局尚未形成有效支撑。 更令市场担忧的是第三季度指引。英伟达预计截至 10 月的第三季度销售额约为 540 亿美元，虽与华尔 街平均预期持平，却远低于部分分析师 600 亿美元的乐观预判。更关键的是，公司 ...

Core Viewpoint - The article emphasizes how AI is reshaping the investment landscape, making it more accessible for ordinary people to turn their life insights into investment opportunities through innovative tools like the AI Agent Bobby [5][6][109]. Group 1: Introduction to Bobby - Bobby is introduced as the first AI Agent in the financial trading sector, designed to serve as a 24/7 investment partner that can handle the entire investment process from idea generation to execution and portfolio management [18][19]. - The development of Bobby took two years, focusing on addressing user pain points such as high investment awareness barriers and complex tool operations [6][18]. Group 2: Vakee's Investment Philosophy - Vakee Lai, the CEO of RockFlow, shares her investment worldview, emphasizing the importance of leveraging cognitive advantages gained from experiences in advertising and technology investments [6][11]. - The article discusses how Vakee aims to democratize investment, making it accessible to the general public, particularly the younger generation [6][11]. Group 3: Future of Investment - The article posits that the future of investment will involve removing traditional graphical user interfaces (GUIs) in favor of conversational AI agents like Bobby, which can cater to individual user needs through natural language interactions [22][38]. - It highlights a shift in investment behavior among younger generations, who are increasingly using trading as a means of self-expression and value representation [101][102]. Group 4: User Experience and Feedback - Real user cases are presented, showcasing how Bobby has successfully facilitated trades and provided personalized investment strategies, leading to significant returns for users [67][84]. - The article notes that Bobby's conversational interface lowers psychological barriers for novice investors, making the investment process feel less intimidating [72][73]. Group 5: Development Challenges and Innovations - The development of Bobby faced challenges such as ensuring fast response times and cost control, which are critical for user satisfaction in trading scenarios [78][79]. - The article discusses the importance of a strong engineering team with domain expertise in finance to create a reliable and effective AI Agent [56][60]. Group 6: Broader Implications - The article concludes by encouraging readers to recognize investment opportunities in everyday life, suggesting that insights from personal experiences can lead to successful investment decisions [109][113]. - It emphasizes that the ability to translate life observations into investment actions is a key advantage that ordinary individuals possess over traditional financial analysts [113].