高盛大会揭示了科技业的AI鸿沟：一边是甲骨文因AI合作，合同收入预增359%而股价大涨；另一边则是普通软件公司被华尔街严厉拷问"如何变现"。资 本正疯狂涌向英伟达等AI基础设施"卖铲人"，冰火两重天格局尽显。 本周在旧金山举行的为期三天的"高盛Communacopia + 科技大会"上，最引人注目的市场动态并非来自即将到来的IPO热潮，而是源自一家成立48年的 科技巨头。甲骨文（Oracle）公司股价因其未来合同收入预计将飙升359%而大涨，其中大部分增长归功于其与OpenAI的一项交易。这一事件生动地展 示了AI对市场估值的直接引爆效应。 会场内的热度分布也印证了这一点。英伟达（Nvidia）和OpenAI的演讲环节成为全场最热门的活动，主宴会厅在演讲开始前20分钟便已座无虚席，投 资者甚至需要占据三个分会场才能容纳。相比之下，即便是Meta和Alphabet（谷歌母公司）的演讲也仅坐满了两个分会场。这种鲜明的对比，直观地 反映了当前华尔街资本的关注焦点所在。 AI鸿沟：冰火两重天的科技股 对于那些不直接构建AI数据中心、制造AI芯片或开发AI模型的公司而言，大会的气氛则远没有那么乐观。尤其是软件制造商，它 ...

Core Insights - The focus of the Goldman Sachs annual technology conference was on artificial intelligence (AI), highlighting a clear divide in the tech industry between companies at the forefront of AI infrastructure and those struggling to demonstrate their AI strategy's value [1][2][3] Group 1: AI Market Dynamics - Oracle's stock surged due to a projected 359% increase in future contract revenue, largely attributed to a deal with OpenAI, showcasing AI's direct impact on market valuations [1] - Nvidia and OpenAI's presentations were the most popular, indicating a strong investor interest in companies directly involved in AI, while presentations from Meta and Alphabet attracted less attention [1][2] Group 2: Investor Sentiment - Companies not directly involved in AI, particularly traditional software manufacturers, faced scrutiny from investors who demanded clear evidence of AI monetization capabilities [2][3] - High expectations were placed on software companies to quickly adapt their narratives to meet customer demands for AI integration [3] Group 3: AI Monetization Examples - Google Cloud's Thomas Kurian highlighted that Google has already earned billions through AI, emphasizing the market's desire for clear AI monetization cases [4] - Twilio reported significant annual revenues from AI startup clients, while Grindr's CEO discussed how new AI features could enhance subscription services [4][5] Group 4: Data Infrastructure Companies - Database companies like Databricks, Snowflake, and MongoDB received significant investor attention for their critical roles in supporting AI infrastructure and managing large volumes of data [5] - Snowflake's stock rose by 43% and MongoDB's by 37% this year, reflecting the market's recognition of data processing capabilities as essential assets in the AI era [5]