谷歌风雨飘摇,市值蒸发数千亿美元,Gemini Spark能救场吗?

marsbitPublicado em 2026-07-01Última atualização em 2026-07-01

Resumo

最近,谷歌陷入内忧外患,核心人才接连流失:Transformer架构师Noam Shazeer、AlphaFold主导者John Jumper,以及Gemini预训练和编程核心贡献者Jonas Adler、Alexander Pritzel相继离职,分别投身OpenAI和Anthropic。资本市场迅速反应,Alphabet股价两天内下跌5%-6%,市值蒸发数千亿美元,反映出市场对谷歌能否留住顶尖人才的深层担忧。 与此同时,谷歌产品节奏也面临挑战,备受期待的Gemini 3.5 Pro再次推迟发布。在此背景下,谷歌推出了新的AI产品Gemini Spark。与普通聊天机器人不同,Spark作为云端持续运行的智能体,能深度集成Gmail、日历、文档等谷歌Workspace套件,根据用户设定的目标自动分解任务、跨应用执行工作流,并能通过协议连接外部服务。其目标是为用户提供一个“永不停机的数字员工”。然而,其目前仅面向每月100美元的Google AI Ultra用户开放,高价策略引发争议。 分析认为,谷歌手握最完善的生产力工具生态,本应是开发“AI劳动力”或智能体的天然赢家,但因大公司的谨慎和对风险的规避,反而在Agent竞赛中落后于OpenAI、Anthropic及众多创业公司。Spark的推出标志着谷歌终于放手让AI深入生产力环节,但能否借此挽回颓势、弥补人才流失的损失,并支撑其下一个十年,仍是巨大疑问。

最近,谷歌人心惶惶,风雨飘摇。

6月18日,Transformer八子之一Noam Shazeer发文宣布离开谷歌,去OpenAI。2024年,谷歌花了约27亿美元把他请回来,坐上Gemini联合负责人的位子。不到两年,他又走了。

两天后,John Jumper也走了,去Anthropic。他是2024年诺贝尔化学奖得主,AlphaFold的主导者,在DeepMind待了快九年。

然后是Jonas Adler和Alexander Pritzel,Gemini预训练和编程方向的核心贡献者,也参与过AlphaFold。最新消息:这两位也准备去Anthropic。

如果这只是普通离职,谷歌当然扛得住。

可问题是,这四个人分别踩在大模型最核心的几条神经线上:架构、科学、编程、预训练。

资本市场的反应来得很直接,用脚投票。6月22日,Alphabet股价两天里跌了5%到6%,市值蒸发数千亿美元。

投资人担心的不是哪一款产品,是一件更根上的事:谷歌还留得住造出它最重要那些东西的人吗?

更尴尬的是,就在这场人才失血发生的同一个月,谷歌端出了它酝酿已久的新牌:Gemini Spark。

一边是大脑流失,一边是大力出奇迹。

2026年的谷歌,最真实的样子就藏在这种撕裂里。

Gemini 3.5 Pro疑跳票,谷歌破局靠Spark?

不止是人才流失,谷歌更难看的是产品节奏。

I/O 2026上,所有人都在等Gemini 3.5 Pro。

谷歌CEO站在台上说了句「再给我们一个月」,台下据说响起一片叹气。

结果一个月过去,最新消息:Gemini 3.5 Pro从6月又推到了7月。

两百万token的上下文、Deep Think深度推理,纸面上很强,就是迟迟不到你手里。

就在这片黄昏里,谷歌甩出了它这一年最重的一张牌:Gemini Spark。

先说清楚它跟你手机里那个Gemini有什么不一样。

普通聊天机器人,你问一句它答一句,你一关App,它就不存在了。

Spark不是。它跑在谷歌云的专用虚拟机上,你合上电脑、锁了手机、睡着了,它还在云端醒着,继续替你干活。

你不需要为了让它运转,一直开着电脑。

它接得最深的,是谷歌自己那套你天天在用的工具:Gmail、日历、Docs、Sheets、Slides、Drive,还有地图和YouTube。

光说不够,看它真能干什么。

你是个摄影师。一封询价邮件进来,Spark自动把客户名字、想约的日期抽出来,记进你那张「客户追踪」表格,再以这个客户的名字新建一个Drive文件夹。

你家有娃。让它盯着邮箱里学校发来的通知,把关键截止日期抽出来,每天给你和你伴侣发一份汇总。

看出门道了吗。

这些都不是「帮我写封邮件」这种一问一答,是给个目标,它自己拆成好几步,跨好几个App跑完。

谷歌给它配了一套叫Antigravity的Agent框架,还分成Tasks、Skills、Schedules,能定时跑,也能等某个条件触发了再跑。

任务(Tasks):您可以让人工智能智能体投入工作,将其连接到您的Google Workspace生态系统,包括Gmail、日历、文档、表格和幻灯片。

技能(Skills):通过构建技能,您可以精确设定Spark如何处理您经常重复的事项,从而定制您的使用体验,让您免于重复输入提示词。

日程安排(Schedules):通过设置基于时间或条件的触发规则,在您确切需要的时刻执行任务,让您按自己的方式自动化处理工作负载。

往外它也能伸手。

通过MCP协议接上Canva、OpenTable、Instacart,理论上你能让它订餐厅、买菜。涉及花钱、发邮件这类高风险动作,它会先停下来问你一句。

想象一个不要工资、不喝咖啡、在云端永远在线的实习生。这大概就是Spark想让你产生的幻觉。

代价是:它现在只给Google AI Ultra用户,每月100美元那一档。

Pro用户能拿到的是另一个叫Daily Brief的晨间简报,不是Spark本体。

网友直呼,这定价简直就是个笑话。

一道隐形的门,把「数字员工」圈在了最贵的那层里。

谷歌起了个大早,却赶了个晚集

把Spark放回整个Agent战场,它的意义就更复杂了。

OpenAI有自己的Agent产品路线。

Anthropic从Computer Use到Claude Code,也在把「让AI替你动手」这件事越做越深。

还有大量垂直Agent创业公司,正在从法律、销售、招聘、客服、数据分析、编程等场景切进去。

行业达成了高度共识:AI正在从工具,变成劳动力。

过去的AI是副驾驶。你开车,它提醒你。现在的AI是司机。你说目的地,它自己规划路线。

而谷歌最尴尬的地方在于,它本来最应该赢。

没有哪家公司比谷歌更适合做生产力Agent。

Gmail、Calendar、Docs、Sheets、Drive,这些不是孤立应用,而是现代办公生活的毛细血管。

真正的数字员工,如果能天然接入这些系统,效率优势会极其可怕。

问题是,谷歌手里攥着最好的牌,却没有最早把牌打出来。

原因也不难理解。谷歌越大,越怕出事。

AI读错邮件怎么办?误删文件怎么办?把不该发的内容发出去了怎么办?访问用户隐私引发公关灾难怎么办?

这些问题对创业公司是风险,对谷歌就是雷区。

于是它谨慎,犹豫,审查,等待。

而就在谷歌犹豫不决时,以OpenClaw为代表的开源项目正在重新定义「浏览器智能体」。

它们像寄生体一样直接接管网页操作,效率惊人。

谷歌的失利本质,在于「巨头的傲慢与恐惧」。

Spark的出现,是谷歌终于决定放开束缚,让AI真正进入后台「替人干活」的转折点。

这就是谷歌最痛的悖论:它起了个大早,却赶了个晚集。

谷歌能否靠Spark止血?很难。

但Spark至少指明了方向:AI必须从「对话框」里走出来,进入生产力的毛细血管。

而对于那些眼睁睁看着市值蒸发2000亿的投资者来说,他们最想问的是:那些造神的人都走了,剩下的这台「打工机器」,真的能撑起谷歌的下一个十年吗?

参考资料:

https://x.com/LuminaXspace/status/2069702715999998139

https://www.datacamp.com/blog/gemini-spark

本文来自微信公众号“新智元”,作者:ASI启示录

Criptomoedas em alta

Perguntas relacionadas

Q文章中提到谷歌近期有哪些关键人才流失?

A根据文章,近期离开谷歌的关键人才包括:Transformer八子之一Noam Shazeer(去往OpenAI)、2024年诺贝尔化学奖得主AlphaFold主导者John Jumper(去往Anthropic),以及Gemini预训练和编程方向的核心贡献者Jonas Adler和Alexander Pritzel(也准备去往Anthropic)。

Q谷歌推出的新产品Gemini Spark是什么?它与普通的聊天机器人有何主要区别?

AGemini Spark是谷歌推出的一个运行在谷歌云专用虚拟机上的智能体产品。它与普通聊天机器人的主要区别在于:它可以在云端持续运行,即使你关闭设备,它也能继续替你完成任务;它能深度集成谷歌自家的生产力工具套件(如Gmail、日历、Docs等),并可连接到外部服务(如Canva、OpenTable);它能通过Antigravity框架分解并执行跨应用的复杂任务,而不仅是进行简单的问答。

QGemini Spark的定价策略是什么?它引发了怎样的市场反应?

AGemini Spark目前仅提供给Google AI Ultra用户,即每月100美元的最高档订阅用户。而相对便宜的Pro用户只能获得一个名为“Daily Brief”的晨间简报功能,而非Spark本体。文章指出,这种定价策略被部分网友直呼“简直就是个笑话”,形成了一道将高级“数字员工”功能圈定在最昂贵层级中的隐形门槛。

Q文章如何描述谷歌在AI智能体(Agent)领域竞争中的处境?

A文章指出,虽然谷歌拥有世界上最适合做生产力智能体的工具套件(如Gmail、Calendar、Docs等),但它却“起了个大早,赶了个晚集”。原因是,作为科技巨头,谷歌在让AI深度介入用户工作流程和敏感数据方面过于谨慎和犹豫,担心出错引发公关灾难或隐私问题。就在它犹豫期间,OpenAI、Anthropic等竞争对手以及众多开源项目(如OpenClaw)已经在该领域取得了进展,抢占了先机。

Q为什么文章认为Gemini Spark很难为谷歌解决当前的人才流失和市值下跌问题?

A文章认为,虽然Spark指明了让AI从“对话框”走进生产力核心的正确方向,但它本身作为一款高价订阅产品,很难为谷歌当前的困境“止血”。文章最后抛出的核心问题是,在“造神”的关键人才接连流失的背景下,仅仅推出一款“打工机器”(指Spark这类执行工具)并不足以解决根本问题,也难以让投资者相信它能够独自撑起谷歌的下一个十年。

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