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AI落地物理世界 美团如何成为这个“接口”?

元君 2026-06-06 08:58
元君 2026/06/06 08:58

邦小白快读

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这篇文章核心介绍了美团在AI领域的整体布局,以及美团要做AI落地物理世界接口的战略定位,核心干货信息如下:

1. 美团最新2026年一季度业绩显示,实现营收910亿元,同比增长5.6%,经营亏损从上季度161亿元收窄至65亿元,一季度研发投入70亿元,同比增长22%,美团CEO明确表示会持续加大AI投入,迭代大模型和AI Agent能力。

2. 美团AI布局分为投资和自研两大板块:投资端已经覆盖AI大模型、具身智能、自动驾驶、芯片算力等多个硬科技领域,累计投资超过28家独角兽企业,其中7家成功上市,早期布局宇树科技,成为其最大外部股东。

3. 自研领域已有多个落地成果,包括万亿参数国产大模型LongCat、覆盖超70万商家的AI助理“智能掌柜”、累计超90万单的无人机低空配送航网,AI已经落地到衣食住行各类本地生活场景。

本文披露的美团AI布局,为消费品牌带来了很多关于行业趋势、运营升级、渠道拓展的干货参考,核心内容如下:

1. 消费与技术趋势:当前AI已经从纯数字聊天交互,转向落地物理世界的真实交易场景,AI融入本地生活衣食住行是未来核心趋势,消费者越来越依赖AI简化消费决策,减少选择负担,品牌需要适配这一变化。

2. 运营升级方向:美团已经推出面向商家的AI工具,到店餐饮的“智能掌柜”覆盖超70万商家,零售行业的“数字员工”覆盖超30万商户,这类AI工具可以实实在在帮助品牌商家降本增效,品牌可以接入这类工具升级运营。

3. 渠道拓展机会:美团AI助手已经实现跨平台合作,即将和腾讯元宝合作开放外卖等生活服务调用,品牌可以依托美团的AI入口,触达更多跨平台用户,把握AI落地带来的新流量机会。

美团的AI布局给各类本地生活、零售卖家带来了明确的机会提示和方向参考,核心干货内容如下:

1. 新的增长机会:AI落地物理场景已经进入规模化落地阶段,美团的AI工具已经开放给百万级商家使用,卖家可以接入“智能掌柜”“数字员工”这类AI工具,实现运营降本增效,提升自身竞争力。

2. 流量获取机会:美团AI助手在五一假期已经服务超一亿人次用户,覆盖全品类本地生活场景,同时美团还在推进跨平台合作,接入腾讯元宝的流量入口,卖家可以依托新的AI入口获得更多曝光,挖掘新增量。

3. 方向启示:美团反周期提前布局硬科技的思路,也提示卖家要关注长期技术趋势,不要被短期波动影响,要提前适配AI带来的行业变化,同时要聚焦真实交易需求,避免盲目追逐概念,把握落地性的机会。

面向消费赛道和硬科技供应链的工厂,可以从美团AI布局中获得不少商业机会和转型启示,核心干货如下:

1. 商业化落地机会:美团构建了完整的AI落地物理场景的生态,给很多硬件产品提供了规模化落地的场景,目前禾赛的激光雷达已经获得美团无人机的量产定点,立镖分拣机器人已经在美团买药仓实现规模化应用,银河通用的机器人也已经落地药店分拣,相关零部件和成品工厂可以对接美团生态获得订单。

2. 行业增长红利:当前具身智能、人形机器人赛道进入高速增长期,美团投资的宇树科技2025年人形机器人出货量超5500台,排名全球第一,即将成为“具身智能第一股”,相关供应链工厂可以提前布局,把握赛道增长红利。

3. 数字化转型启示:美团推进“零售+科技”战略,用AI赋能全链路,工厂也可以参考这一思路,借助AI技术升级生产和需求对接环节,更好适配消费端变化。

AI落地物理世界的新趋势,给各类科技和商业服务商带来了新的发展方向,核心干货内容如下:

1. 行业发展新趋势:当前AI产业已经从“卖铲子”的技术阶段,走向落地物理世界真实场景的应用阶段,本地生活日常交易是AI落地最大的场景之一,真实物理场景数据是当前AI进化的核心瓶颈,掌握场景和数据的平台会成为AI落地的核心接口。

2. 当前行业核心痛点:目前AI尤其是具身智能机器人,最大的发展瓶颈是泛化能力不足,需要大规模真实物理场景数据训练,很多新兴AI企业缺少落地场景和数据支撑。

3. 商业机会:服务商可以对接美团的生态,依托美团海量每日物理交易场景和数据打磨产品,同时美团有超百万商家需要AI工具降本增效,服务商可以针对这类需求开发配套解决方案,市场空间广阔。

美团从外卖平台转型科技底座的路径,给各类平台型企业的AI布局带来很多参考,核心干货内容如下:

1. 平台AI布局的差异化方向:AI浪潮下,平台不需要盲目比拼模型参数,而是可以结合自身核心优势,做AI落地的场景接口,美团依托自身本地生活物理场景的独特护城河,走出了差异化的AI发展路线,避免了和头部纯AI公司的直接竞争。

2. 平台布局的可借鉴做法:投资端采用反周期早期布局策略,不止提供资金,还给被投企业提供落地场景和数据支持,帮助企业快速成长;自研端覆盖大模型基座、C端AI助手、B端赋能工具、AI配送硬件全链条,形成从数字到物理的完整闭环。

3. 风险规避提示:平台布局AI要避免盲目跟风追热点,需要结合自身核心资源落地,同时要开放合作,美团和腾讯合作开放AI能力,放大了双方的价值,这种开放思路也值得参考。

美团的AI转型展现了国内AI产业发展的新动向,为产业研究提供了非常有价值的样本,核心干货内容如下:

1. 产业新动向:当前国内AI产业已经出现新的发展方向,AI从数字世界走向物理世界落地,互联网平台依托自身积累的场景和数据优势,正在成为AI落地物理世界的核心接口,美团就是典型样本,采用投资+自研双向发力的模式,已经覆盖国内大半硬科技核心资产。

2. 新的产业逻辑和商业模式:不同于纯财务投资,也不同于纯AI公司拼参数的模式,美团开创了“场景+投资+自研”的新商业模式,依托自身每日海量物理交易数据,赋能AI企业成长,反过来AI又升级自身的交易闭环,形成正向协同。

3. 研究启示:美团的路径显示,国内科技企业可以走依托国产自主算力、聚焦实体场景落地的差异化路线,实现AI的自主可控发展,这为研究国内AI产业发展路径、互联网平台转型方向都提供了重要的参考样本。

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Quick Summary

This article outlines Meituan's overall AI strategy, which positions the company as the interface for AI implementation in the physical world. Key takeaways are as follows:

1. Meituan's Q1 2026 financial results show revenue reached 91 billion yuan, up 5.6% year-over-year, with operating losses narrowing from 16.1 billion yuan last quarter to 6.5 billion yuan. R&D investment hit 7 billion yuan in the quarter, a 22% year-over-year increase. Meituan's CEO has confirmed the company will continue increasing AI investment to iterate its large language model and AI Agent capabilities.

2. Meituan's AI ecosystem consists of two pillars: investment and in-house R&D. On the investment side, it has built a portfolio covering hard tech sectors including large AI models, embodied intelligence, autonomous driving, and chip computing power, with investments in over 28 unicorn startups, 7 of which have gone public. It was an early backer of Unitree Robotics, and is now the company's largest external shareholder.

3. On the in-house R&D front, Meituan has multiple commercially deployed AI products, including LongCat, a Chinese-developed large model with 1 trillion parameters; "Smart Store Manager", an AI assistant serving over 700,000 merchants; and a low-altitude drone delivery network that has completed over 900,000 orders. AI is now integrated across local life scenarios spanning food, clothing, housing and transportation.

Meituan's AI expansion outlined in this article offers consumer brands valuable insights into industry trends, operational upgrades and channel expansion opportunities. Key takeaways are as follows:

1. Consumer and technology trends: AI is shifting from purely digital chat-based interaction to real transaction scenarios in the physical world. Integrating AI into daily local life services across all categories is set to become a core future trend. Consumers are increasingly relying on AI to simplify purchasing decisions and reduce choice fatigue, and brands need to adapt to this shift.

2. Operational upgrade opportunities: Meituan has already launched AI tools for merchants. "Smart Store Manager" for in-dining restaurants now covers over 700,000 merchants, while "Digital Employee" for the retail sector serves more than 300,000 businesses. These AI tools deliver tangible cost reductions and efficiency gains, and brands can integrate them to upgrade their operations.

3. Channel expansion opportunities: Meituan's AI assistant is already pursuing cross-platform partnerships, and is set to open up access to its food delivery and other life services through Tencent Yuanbao. Brands can leverage Meituan's AI-powered entry points to reach more cross-platform users and capture new traffic opportunities brought by AI adoption.

Meituan's AI expansion offers clear opportunity alerts and directional guidance for local life and retail sellers of all sizes. Key takeaways are as follows:

1. New growth opportunities: AI deployment in physical scenarios has entered a stage of large-scale commercialization. Meituan has opened its AI tools to millions of merchants, and sellers can integrate solutions like "Smart Store Manager" and "Digital Employee" to cut operational costs, boost efficiency and strengthen competitiveness.

2. New customer acquisition opportunities: Meituan's AI assistant served over 100 million users during the 2026 May Day holiday, covering all local life service categories. The company is also advancing cross-platform partnerships to connect to Tencent Yuanbao's traffic entry. Sellers can gain greater exposure and tap into new growth through these new AI-powered entry points.

3. Strategic guidance: Meituan's counter-cyclical early investment strategy in hard tech serves as a reminder for sellers to focus on long-term technology trends rather than being distracted by short-term market volatility. Sellers should adapt early to industry changes brought by AI, stay focused on real transaction needs, avoid chasing unproven hype, and prioritize tangible,落地 opportunities.

Factories serving the consumer sector and hard tech supply chain can identify new business opportunities and transformation insights from Meituan's AI expansion. Key takeaways are as follows:

1. Commercialization opportunities: Meituan has built a complete ecosystem for AI deployment in physical scenarios, which provides large-scale commercial application opportunities for hardware products. To date, Hesai's lidar has secured mass production orders for Meituan's delivery drones; Lipao sorting robots are deployed at scale in Meituan's pharmaceutical warehouses; and Galaxy General's robots are already used for sorting in retail pharmacies. Relevant component and finished product manufacturers can partner with Meituan's ecosystem to secure new orders.

2. Sector growth opportunities: The embodied intelligence and humanoid robot sectors are now entering a period of rapid growth. Unitree Robotics, a Meituan portfolio company, shipped more than 5,500 humanoid robots in 2025, ranking first globally, and is set to become the first publicly listed pure-play embodied intelligence company. Relevant supply chain factories can position themselves early to capture sector growth dividends.

3. Digital transformation insights: Meituan pursues a "retail + technology" strategy to empower its entire value chain with AI. Factories can adopt a similar approach, leveraging AI to upgrade production and demand matching processes to better adapt to changes in consumer demand.

The new trend of AI deployment in the physical world opens up new development directions for technology and business service providers. Key takeaways are as follows:

1. New industry trends: The AI industry has evolved from the early "tool-selling" technology phase to the application phase of deployment in real-world physical scenarios. Daily local life transactions represent one of the largest use cases for AI, and real-world physical scenario data is currently the core bottleneck for AI advancement. Platforms that control access to scenarios and data will become the core interfaces for AI implementation in the physical world.

2. Core industry pain points: The biggest bottleneck for current AI development, particularly for embodied intelligent robots, is limited generalization capability, which requires large-scale training data from real physical scenarios. Many emerging AI startups lack access to commercial scenarios and the data they need for development.

3. New business opportunities: Service providers can partner with Meituan's ecosystem to refine their products leveraging the platform's massive volume of daily physical transaction scenarios and data. Meituan also serves more than one million merchants that need AI tools to cut costs and boost efficiency, creating broad market opportunities for service providers to develop customized solutions to meet this demand.

Meituan's transition from a food delivery platform to a technology infrastructure provider offers valuable insights for AI strategy development for other platform companies. Key takeaways are as follows:

1. Differentiated positioning for platform AI strategy: In the AI boom, platforms do not need to blindly compete on model size. Instead, they can leverage their core competitive advantages to become the scenario-based interface for AI deployment. Drawing on its unique moat in local life physical scenarios, Meituan has built a differentiated AI development path that avoids direct competition with leading pure-play AI companies.

2. Replicable best practices for platform AI expansion: On the investment side, Meituan pursues a counter-cyclical early investment strategy, providing not only capital but also access to deployment scenarios and data to help portfolio companies grow rapidly. On the in-house R&D side, it covers the full value chain from large model foundations, to consumer-facing AI assistants, business-facing enabling tools, and AI-powered delivery hardware, building a complete closed loop from the digital world to the physical world.

3. Risk mitigation guidance: When building AI capabilities, platforms should avoid blindly following hot trends, and focus on deployment aligned with their core existing resources. Platforms should also pursue open collaboration: Meituan's open partnership with Tencent to share AI capabilities amplified value for both parties, and this open approach offers a useful reference for other players.

Meituan's AI transformation reveals new trends in China's AI industry and provides a highly valuable case study for industrial research. Key takeaways are as follows:

1. New industry trends: China's AI industry is now moving in a new direction, with AI expanding from the digital world to deployment in the physical world. Internet platforms, leveraging their accumulated advantages in scenarios and data, are emerging as core interfaces for AI implementation in the physical world. Meituan is a representative example: through its dual strategy of investment and in-house R&D, it now has exposure to the majority of China's core hard tech AI assets.

2. New industrial logic and business model: Unlike purely financial investment or the model size competition pursued by pure-play AI companies, Meituan has created a new "scenario + investment + in-house R&D" business model. The company leverages its massive daily volume of physical transaction data to empower AI startups to grow, while AI in turn upgrades its own transaction closed loop, creating positive mutual reinforcement.

3. Research implications: Meituan's path demonstrates that Chinese technology companies can pursue a differentiated development route built on domestically controlled computing power and focused on deployment in real physical scenarios, achieving independent and controllable AI development. This provides an important reference case for research on China's AI industry development path and the transformation direction of internet platforms.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

6月1日,美团披露了2026年第一季度业绩。

数据显示,一季度美团实现营收910亿元,同比增长5.6%,经营亏损由上季度的161亿元大幅收窄至65亿元。与此同时,美团持续推进“零售+科技”战略,本季度研发投入同比增长22%至70亿元,占总收入的7.7%。美团CEO王兴明确表示:“将持续加大AI投入力度,不断迭代AI Agent和大模型能力。”

就在美团发布一季报的同一天,市场传来另一则消息:宇树科技科创板IPO申请过会,即将冲刺“具身智能第一股”。当市场聚焦其420亿元估值时,一个关键细节引发关注:美团以合计9.65%的持股比例,成为宇树科技最大外部股东。

实际上,对宇树科技的投资只是美团科技版图的冰山一角。梳理发现,其投资早已覆盖AI大模型、具身智能、自动驾驶等多个领域。智谱AI、月之暗面、摩尔线程、银河通用、理想汽车等等,几乎每一家耳熟能详的硬科技独角兽背后,都有美团的身影。

更关键的是,美团在自研领域同样系统化推进:万亿参数国产大模型LongCat、累计超90万单的无人机低空航网、覆盖超70万商家的AI助理“智能掌柜”,一家科技公司的完整版图已然成型。

由此可见,在AI浪潮从“卖铲子”走向物理世界应用的大趋势下,美团正试图成为AI落地的入口之一。

01 到底布了多大的局?

如果要用一把尺子丈量美团科技版图的深度,宇树科技大概是最好的刻度之一。

招股书显示,宇树科技成立于2016年8月,总部位于浙江杭州。2025年,该公司实现营收16.99亿元,扣非后净利润5.91亿元,人形机器人出货量超5500台排名全球第一。此次科创板过会,也意味着“具身智能第一股”即将诞生。

而美团与宇树科技的渊源,早在行业爆发前夜就已结下。

当宇树科技进行B2轮融资时,大多数机构还在观望,美团就以领投方身份坐上了牌桌。到了B3轮,美团继续加注,一路跟投直到成为最大外部股东,合计持股9.65%。等到2025年其他大厂入场时,宇树科技的估值已经飙升至120亿元,机器人都登上了春晚,IPO路径早已清晰可见。其他大厂的投资,更多是怕错过而跟投,美团则是真正在早期就敢下重注的那个。

实际上,宇树科技只是冰山露出水面的那一角。

在具身智能领域,美团至少投资了16家企业,其中10家已成长为独角兽。对银河通用投资中,美团从天使轮就进场;对于星海图、自变量等明星公司,美团均在A轮入局。

芯片算力赛道,它参投了“国产GPU四小龙”中的摩尔线程和沐曦股份,还参投了“国家队”紫光展锐。

AI大模型方向,美团早早“上车”投资了智谱AI,更在A1轮领投月之暗面。

自动驾驶领域,它是理想汽车的最大外部股东,还布局了禾赛科技、九识智能。

AI智能硬件方面,快造科技、其域创新也都在名单上。

直观来看,在上述多个硬科技领域,美团都已实现覆盖。这份布局的规模,早已跳出了本地生活服务平台的传统边界。

数据显示,截至目前,美团至少已投资超过28家独角兽科技公司,其中7家已成功上市,另有宇树科技、紫光展锐等多家被投企业处于IPO申报阶段。

美团用数年时间,将中国硬科技的核心资产纳入其生态版图,并陪伴众多新兴头部企业从初创走向成熟。

02 为什么是美团?

然而,一个尖锐的问题随之而来:一家以外卖起家的本地生活服务平台,凭什么能投资大半个中国AI圈?那些估值动辄数百亿的硬科技独角兽,难道就缺美团这一份钱吗?

答案显然不只是钱。

剖析美团的投资逻辑,有两条最重要的线索:“早”和“重”。

自2018年上市后,美团的投资重心开始从大消费向硬科技转移;到2020年“零售+科技”战略正式提出时,这一转向已全面加速。

彼时,大厂的主流投资方向仍集中在游戏、内容、电商等变现效率更直接的领域,而具身智能、AI芯片、人形机器人还处于典型的早期“无人区”——技术路线尚未收敛、商业化路径不清晰、资本回报周期极长。

当所有人都觉得这些赛道太早、看不懂的时候,美团反而大踏步进入。

数据显示,在2022年互联网企业投资数量骤降70%的大背景下,美团逆势加码,硬科技投资占比最高达64%。甚至在2025年美团核心业务因外卖大战由盈转亏时,其硬科技投资仍不减反增。

正如业内人士所言,投资背后通常有两种不同的逻辑:一是在收益不确定时,投确定的赛道;二是在确定性中获取份额。而真正拉开差距的,往往是前者。美团这种反周期操作,展现的是长期对科技的支持和定力。

另外,美团不仅给钱,还给场景合作支持。例如,银河通用的Galbot机器人已在北京10余家药店实现24小时药品分拣;其域创新与小象业务合作进行了前置仓的测绘建模;禾赛的激光雷达已获得美团无人机的量产定点;立镖的分拣机器人也在美团买药仓实现了规模化应用。

这些案例揭示了一个关键事实:美团不只是在“投资”科技公司,更是在用自身最核心的业务资产,即每天发生在物理世界里的真实交易,作为被投企业的成长加速器。

更深层的想象力空间在于数据协同。宇树科技CEO王兴兴在2026年3月的亚布力论坛上坦言,机器人当前最大瓶颈是泛化能力不足,需要“基于视频生成的世界模型”和大规模真实物理场景数据。

因此,回到最初的问题:为什么是美团?

因为当大多数投资机构还在路演PPT中寻找赛道时,美团已经在物理世界里,为AI的进化日复一日地积累着数据。

美团的科技投资,账面上的浮盈是其次,场景里的未来才是真正的价值。

03 把AI种进衣食住行

既然已经投入这么多资金、布下这么大的局,美团到底想用AI做什么?

在今年3月的管理层沟通会上,美团CEO王兴曾表示:“物理世界的数字化将是AI非常重要的底座。虽然大模型越来越聪明,但我们可以想象,就算爱因斯坦当秘书,让他订一个餐厅,他也不知道哪个餐厅有座位。这不是智力问题,而是信息问题。”

翻译过来就是,AI不能只停留在聊天框里对着屏幕推理,它必须能理解真实的物理世界,能走街串巷、识别门牌、按动电梯、取餐送药。

言外之意,美团拥有物理世界最丰富的信息,它要做的是“入口派”赢家,不是要在AI赛道上和OpenAI比谁家模型参数更大,是要把AI融入本地生活的每一笔交易里。像点外卖、找餐厅、订酒店、买药、叫跑腿、调度骑手,所有这些决策环节都要让AI来帮忙,减少用户的选择负担。

而从布局上来看,这一思路在美团的自研路径上也体现得愈发清晰:

在基座能力上,今年4月美团新一代大模型LongCat-2.0-Preview开放测试,参数规模突破万亿。值得注意的是,该模型的训练和推理全程依托国产算力集群完成,在自主可控层面走出了一条差异化路线。

在用户端,美团基于LongCat升级的AI助手“小团”,在“五一”假期期间服务了超一亿人次的用户,覆盖了吃喝玩乐、出行等多种生活场景。

近期,美团的AI助手“小美”还将与腾讯元宝合作上线,用户可以直接通过元宝来调用外卖等服务。跨平台合作的消息传出后,截至6月2日收盘,美团和腾讯的股价双双涨超9%,市场对AI协同价值的认可由此可见。

在商家端,美团的愿景更为实际,即帮助每个商家用上自己的AI助理。到店餐饮行业的“智能掌柜”已累计服务超70万商家,服务零售行业的“数字员工”也覆盖了超30万商户。这些看似不那么“性感”的工具,却实实在在地帮助商家实现了降本增效。

除了上述主线,AI硬件也是美团打出的一张“硬核”牌。不久前,美团宣布其“城市低空航网”已正式投入常态化运营,累计商业订单超90万笔,位居全球第二,规模化盈利的临界点正在逼近。

大模型提供智能大脑,AI助手连接用户,商家工具赋能供给端,无人机则打通了物流配送的“最后一公里”,这一套从数字到物理、从消费到配送的完整闭环,正在构建起美团“物理AI”的完整基础设施。

04 结语

回过头看,从外卖平台到科技底座,美团用了不到十年的时间,完成了一次惊人却低调的转型。AI的投资与自研双向发力、硬科技投资覆盖半壁江山、真实物理场景的独特护城河,这几个维度的叠加,正在悄然改变美团的底层叙事逻辑。

当市场以科技公司的视角重新审视它时,或许会惊讶地发现,这家企业的想象力,远比我们看到的更大。

注:文/元君,文章来源:子弹财经,本文为作者独立观点,不代表亿邦动力立场。

文章来源:子弹财经

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