广告
加载中

AI落地物理世界 美团如何成为这个“接口”?

元君 2026-06-09 14:12
元君 2026/06/09 14:12

邦小白快读

EN
全文速览

本文核心内容是美团从传统本地生活外卖平台转型,重仓AI领域,试图成为AI落地物理世界的核心接口,核心干货信息如下:

1. 最新业绩与战略方向:美团2026年一季度营收910亿元,同比增长5.6%,经营亏损收窄至65亿元,研发投入同比增长22%达70亿元,明确表示会持续加大AI投入,迭代大模型与AI Agent能力。

2. 布局规模:美团对外投资已经覆盖AI大模型、具身智能、AI芯片、自动驾驶等多个硬科技赛道,投资了超过28家独角兽企业,其中7家已经上市,是宇树科技、理想汽车等明星企业的最大外部股东,早期布局优势明显。

3. 自研落地成果:美团已经推出万亿参数国产大模型LongCat,用户端AI助手“小团”五一假期服务超1亿人次,商家端AI工具覆盖超百万商户,无人机低空配送累计订单超90万,已经常态化运营。

本文围绕美团AI落地物理世界的布局展开,对品牌商的战略决策有多方面参考价值,相关干货如下:

1. 消费趋势判断:当前AI已经从纯数字对话走向物理世界落地,正在融入本地生活消费全链路,用户对AI驱动的便捷生活服务需求快速提升,品牌需要跟进AI升级才能匹配用户新需求。

2. 渠道机会:美团已经搭建了成熟的C端AI入口,还即将和腾讯元宝合作,开放跨平台调用本地生活服务的入口,流量空间进一步扩大,品牌可对接美团AI生态获取新流量。

3. 运营升级参考:美团推出的智能掌柜、数字员工等AI工具,已经覆盖70万到店商家和30万零售商户,可帮助商家实现降本增效,品牌可接入这类工具优化自身运营。

4. 新场景机会:美团无人机配送已经实现常态化运营,未来即时配送效率会大幅提升,品牌可提前布局适配新配送场景的产品与服务。

本文介绍了美团AI落地物理世界的全链路布局,能给本地生活类卖家带来明确的机会参考,干货内容如下:

1. 工具赋能机会:AI赋能已经成为明确的行业趋势,美团面向卖家开放了成熟的AI工具,包括到店餐饮的智能掌柜、零售行业的数字员工,卖家可借助这类工具降低运营成本,提升运营效率,缓解人力压力。

2. 流量增长机会:美团AI助手本身已经覆盖亿级用户,还即将通过腾讯元宝开放跨平台入口,流量边界进一步拓宽,卖家可提前对接美团AI入口,获得更多曝光与订单。

3. 新场景机会:美团城市低空航网已经投入常态化运营,累计商业订单超90万,即时配送的效率和范围都会大幅提升,对配送时效性要求高的卖家,可提前布局新配送场景,满足用户即时需求。

4. 风险提示:AI升级是行业必然方向,未能跟进AI升级的卖家,会在运营效率和用户体验上落后于同行。

本文关于美团AI生态布局的内容,给生产制造类工厂带来了明确的商业机会与转型启示,干货整理如下:

1. 产品需求与商业机会:AI落地物理世界催生了大量硬件产品需求,包括人形机器人核心零部件、激光雷达、AI芯片、配送硬件等,美团的本地生活生态已经为这类硬件提供了成熟的落地场景,目前禾赛激光雷达已经获得美团无人机的量产定点,分拣机器人也已经在美团买药仓规模化应用,符合需求的工厂可对接美团生态获取稳定订单。

2. 数字化转型启示:美团将AI融入全链路交易的思路说明,工厂推进数字化升级,对接场景化AI技术,不仅可以提升生产效率,还能拓展新的商业化路径,打开增长空间。

3. 赛道红利参考:当前具身智能、人形机器人赛道进入快速增长期,头部企业宇树科技2025年人形机器人出货量已经位居全球第一,赛道增长确定性强,相关核心零部件工厂可抓住赛道增长红利,对接头部企业获得增长。

本文梳理了AI落地物理世界的行业趋势,以及美团的布局路径,能给AI相关服务商提供明确的方向参考,干货如下:

1. 行业发展趋势判断:当前AI产业已经从纯数字端的大模型竞争,转向物理世界的落地竞争,本地生活是AI落地最大的场景之一,市场空间广阔,AI服务商可聚焦本地生活场景做落地,避开纯大模型赛道的激烈竞争。

2. 行业核心痛点:目前AI机器人、具身智能的核心瓶颈是泛化能力不足,缺乏大规模真实物理场景的训练数据,美团拥有海量线下日常交易场景数据,服务商可探索和美团合作,获取数据打磨产品。

3. 市场需求方向:B端本地生活商家普遍有降本增效的需求,美团已经验证了AI商家助理的市场需求,面向商家的AI运营工具服务商拥有很大的市场空间,可对接美团生态拓展客户。

4. 技术方向参考:美团已经实现万亿参数大模型全程依托国产算力训练推理,国产算力相关服务商拥有广阔的合作空间。

本文介绍了美团布局AI做物理世界接口的完整思路,对各类平台的战略布局有较高的参考价值,干货整理如下:

1. 行业需求判断:当前AI落地物理世界已经成为明确的行业趋势,平台商需要升级AI能力,优化C端用户体验,赋能B端商家降本增效,才能跟上行业发展,避免被淘汰。

2. 布局思路参考:美团采取“对外早期投资+自研落地”双向发力的模式,对外提前布局硬科技核心资产,对内自研适配自身场景的AI能力,同时用自身真实场景反哺被投企业成长,形成了技术投资和业务落地的正向闭环,这种布局模式值得各类平台参考。

3. 差异化竞争思路:美团没有盲目和顶级AI厂商比拼大模型参数,而是依托自身物理场景的独特优势,聚焦AI落地本地生活交易,走差异化路线,这种思路帮助美团避开了激烈的同质化竞争,值得平台借鉴。

4. 风险规避参考:布局硬科技需要长期定力,可采取反周期操作提前占位,避免短期逐利错过核心赛道机会。

本文梳理了美团AI布局的完整路径,呈现了AI产业和互联网平台转型的新动向,对产业研究有较高的参考价值,干货如下:

1. 产业新动向:当前AI产业已经完成了初期的大模型技术竞赛,进入落地物理世界的新阶段,传统拥有线下场景的本地生活平台,依托自身场景和数据优势,正在成为AI落地物理世界的核心接口,这是AI产业发展的新方向。

2. 全新商业模式:美团打造了“早期投资硬科技+自身场景数据赋能+AI落地核心业务”的正向循环模式,对外投资卡位前沿技术,用场景帮助技术企业快速成熟,成熟技术反过来赋能自身核心业务,形成了闭环生态,这是互联网平台布局科技的全新商业模式。

3. 产业投资逻辑新变化:不同于过去互联网资本偏好短期变现项目的投资逻辑,美团反周期布局早期硬科技无人区,长期坚持投入,这种长期投资逻辑为产业资本布局科技提供了新的参考样本。

4. 核心结论:物理世界的场景数据已经成为AI进化的核心生产资料,拥有线下场景的平台具备天然的AI落地竞争优势。

返回默认

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

This article focuses on Meituan's strategic transformation from a traditional local life and food delivery platform to a heavy investor in artificial intelligence, with the goal of becoming a core interface for AI deployment in the physical world. Key takeaways are as follows:

1. Latest financial performance and strategic direction: In Q1 2026, Meituan reported revenue of 91 billion yuan, up 5.6% year-on-year, with operating losses narrowed to 6.5 billion yuan. R&D spending rose 22% year-on-year to 7 billion yuan, and the company explicitly committed to sustained increases in AI investment to iteratively improve its large language model and AI Agent capabilities.

2. Investment footprint: Meituan's outbound investments span multiple hard tech segments including AI large models, embodied intelligence, AI chips, and autonomous driving. It has invested in over 28 unicorn companies, 7 of which have gone public. Meituan is the largest external shareholder of high-profile firms including Unitree Robotics and Li Auto, giving it a clear first-mover advantage from early positioning.

3. In-house developed and deployed achievements: Meituan has launched LongCat, a domestic large model with one trillion parameters. Its consumer-facing AI assistant 'Xiao Tuan' served over 100 million users during the May Day holiday, while its AI tools for merchants cover more than 1 million businesses. Its low-altitude drone delivery service has accumulated over 900,000 orders and entered normal operations.

This article analyzes Meituan's layout for AI deployment in the physical world, offering multiple strategic insights for brand owners. Key takeaways are as follows:

1. Consumer trend assessment: AI has evolved from pure digital interaction to real-world deployment, and is now being integrated into the full value chain of local consumer services. User demand for AI-powered convenient lifestyle services is growing rapidly, and brands must upgrade their AI capabilities to meet evolving consumer expectations.

2. Channel opportunities: Meituan has built a mature consumer-facing AI entry point, and will soon partner with Tencent's Yuanbao to open a cross-platform entry for local life services, further expanding available traffic. Brands can access Meituan's AI ecosystem to capture new traffic.

3. Operational upgrade references: Meituan's AI tools including Smart Store Manager and Digital Employee already cover 700,000 in-store merchants and 300,000 retail businesses, helping businesses cut costs and improve efficiency. Brands can integrate these tools to optimize their operations.

4. New scenario opportunities: Meituan's drone delivery has entered normal operations, and will drastically improve on-demand delivery efficiency going forward. Brands can proactively position products and services adapted to this new delivery scenario.

This article outlines Meituan's end-to-end layout for AI deployment in the physical world, offering clear opportunity insights for local life sellers. Key takeaways are as follows:

1. Tool empowerment opportunities: AI empowerment is an established industry trend. Meituan opens access to mature AI tools for sellers, including Smart Store Manager for in-store dining and Digital Employee for the retail sector. Sellers can leverage these tools to cut operating costs, boost efficiency, and alleviate labor shortages.

2. Traffic growth opportunities: Meituan's AI assistant already reaches hundreds of millions of users, and will soon open a cross-platform entry point via Tencent Yuanbao, further expanding its traffic boundary. Sellers can connect to Meituan's AI entry early to gain more exposure and orders.

3. New scenario opportunities: Meituan's urban low-altitude delivery network has entered normal operations with over 900,000 cumulative commercial orders, and will significantly improve the efficiency and coverage of on-demand delivery. Sellers with strict timeliness requirements can proactively position for this new delivery scenario to meet users' immediate needs.

4. Risk warning: AI upgrading is an inevitable industry direction. Sellers that fail to keep up with AI upgrades will fall behind competitors in both operational efficiency and user experience.

This article covers Meituan's AI ecosystem layout, offering clear commercial opportunities and transformation insights for manufacturing factories. Key takeaways are as follows:

1. Product demand and commercial opportunities: AI deployment in the physical world has generated strong demand for a wide range of hardware products, including core humanoid robot components, lidar, AI chips, and delivery hardware. Meituan's local life ecosystem already provides mature deployment scenarios for these hardware. Currently, Hesai lidar has secured mass production designation for Meituan drones, and sorting robots are deployed at scale in Meituan Pharmaceutical warehouses. Eligible factories can connect to Meituan's ecosystem to secure stable orders.

2. Digital transformation insights: Meituan's approach of integrating AI into end-to-end transactions shows that factories pursuing digital upgrading and integrating scenario-based AI technology can not only improve production efficiency, but also open up new commercialization paths and unlock new growth.

3. Sector growth opportunities: The embodied intelligence and humanoid robot sectors are now in a period of rapid growth. Leading player Unitree Robotics ranked first globally in humanoid robot shipments in 2025, confirming strong sector growth. Relevant core component manufacturers can capture this growth dividend by partnering with leading sector players.

This article sorts out the industry trend of AI deployment in the physical world and Meituan's layout path, offering clear directional guidance for AI-related service providers. Key takeaways are as follows:

1. Industry trend assessment: The AI industry has shifted from competition purely in digital large models to competition centered on real-world deployment. Local life is one of the largest deployment scenarios for AI, with enormous market potential. AI service providers can focus on deployment in local life scenarios to avoid intense competition in the pure large model track.

2. Core industry pain points: The current key bottleneck for AI robots and embodied intelligence is limited generalization capability, and a lack of large-scale training data from real physical scenarios. Meituan holds massive data from daily offline transaction scenarios. Service providers can explore cooperation with Meituan to access data and refine their products.

3. Market demand direction: B2B local life merchants have widespread demand for cost reduction and efficiency improvement. Meituan has already validated market demand for AI merchant assistants, creating substantial market space for AI operation tool service providers targeting merchants, who can expand their customer base by accessing Meituan's ecosystem.

4. Technology direction references: Meituan has fully trained and run its trillion-parameter large model on domestic computing power, creating broad cooperation space for domestic computing power-related service providers.

This article introduces Meituan's complete strategic framework of positioning itself as an AI interface for the physical world, offering high reference value for the strategic layout of all types of platform operators. Key takeaways are as follows:

1. Industry demand assessment: AI deployment in the physical world is now a clear industry trend. Platforms must upgrade their AI capabilities to improve C-end user experience and empower B-end merchants to cut costs and boost efficiency, to keep up with industry development and avoid being displaced.

2. Layout framework references: Meituan pursues a dual strategy of "early external investment + in-house development and deployment". It proactively positions core hard tech assets through external investment, while developing in-house AI capabilities tailored to its own scenarios. It also leverages its own real-world scenarios to support the growth of its portfolio companies, forming a positive closed loop between technology investment and business deployment. This layout model is a valuable reference for all types of platforms.

3. Differentiated competition strategy: Instead of blindly competing with top AI firms on large model parameters, Meituan leverages its unique advantage in physical scenarios, focuses on AI deployment for local life transactions, and pursues a differentiated route. This approach allowed Meituan to avoid intense homogeneous competition, and is a valuable reference for platforms.

4. Risk mitigation references: Hard tech layout requires long-term commitment. Platforms can adopt counter-cyclical positioning to stake out key positions early, avoiding missed opportunities in core sectors from short-term profit chasing.

This article sorts out Meituan's complete AI layout path, presenting new trends in AI industry development and internet platform transformation, with high reference value for industrial research. Key takeaways are as follows:

1. New industry trends: The AI industry has completed its initial large model technology race and entered a new phase of deployment in the physical world. Traditional local life platforms with extensive offline scenarios are leveraging their advantages in scenarios and data to become core interfaces for AI deployment in the physical world, representing a new direction for AI industry development.

2. A new business model: Meituan has built a positive closed-loop business model of "early investment in hard tech + empowerment with scenario and data + AI deployment in core business". It invests early to stake out cutting-edge technologies, uses its scenarios to help technology companies mature quickly, and integrates mature technologies to empower its core business, forming a closed ecosystem. This represents a new business model for internet platforms to lay out technology development.

3. New changes in industrial investment logic: Unlike the traditional internet investment logic that prioritized short-term monetization projects, Meituan pursues counter-cyclical positioning in early-stage uncharted hard tech territory, with sustained long-term investment. This long-term investment logic provides a new reference sample for industrial capital布局 in the technology sector.

4. Core conclusion: Scenario data from the physical world has become the core production factor for AI evolution, and platforms with offline scenarios hold inherent competitive advantages for AI deployment.

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。

1

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。

2

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。

3

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。

4

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(公众号ID:Mzg5OTkwMzM0Ng==),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

广告
微信
朋友圈

这么好看,分享一下?

朋友圈 分享

APP内打开

+1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0