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突发 阿里联手荣耀手机搞操作系统

李响 2026-07-16 10:29
李响 2026/07/16 10:29

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本文核心爆料是业内传出阿里将和荣耀联手研发下一代智能终端操作系统Agentic OS,预计在7月18日世界人工智能大会荣耀分论坛正式官宣,核心干货整理如下:

1. Agentic OS和传统系统的区别:它不再是被动等待用户指令的工具,而是能主动理解用户意图、自主调动手机内全应用能力完成需求的智能体,可打破不同应用之间的边界,用户说出模糊需求后,系统就能自动组合对应应用完成操作。

2. 双方合作的基础条件:阿里有成熟的大模型、云计算能力和庞大服务生态,本次合作牵头的Token Foundry是阿里最高战略权重的业务单元,专门推进多模态AI产品落地;荣耀硬件底子扎实,近年市场增长迅猛,2025年全年手机发货量超7100万台,海外销量增长近一半,海外占比首次超过50%,折叠屏在欧洲市占达34%,端侧AI已有技术突破,合作空间充足。

3. 本次合作和京东荣耀合作的差异:京东和荣耀的合作聚焦渠道物流与销售,属于商业层面联动,阿里则是深入手机系统底层重构,是AI技术落地的核心布局。

本次阿里荣耀合作事件,给AI及手机相关品牌带来了明确的行业趋势参考与合作思路,核心干货整理如下:

1. 消费与行业趋势:当前手机行业竞争已经从摄像头、屏幕等硬件参数比拼,转向AI体验的差异化竞争,消费者对智能交互的需求升级,主动服务型的Agentic OS会成为下一代产品竞争的核心赛道,打破应用边界的一体式体验是未来产品的核心方向。

2. 产品研发方向:大模型技术爆发后,单纯预装AI应用已经无法形成核心竞争力,需要从操作系统底层架构开始重构,适配大模型的多模态感知、系统级权限打通、自主决策能力,才能满足新一代用户需求。

3. 合作模式参考:品牌不需要追求全链路自研,可依托自身优势和互联网大厂走互补合作路线,荣耀凭借硬件和全球化终端覆盖优势,对接阿里的大模型云计算能力,快速补齐AI体验短板,同时荣耀分别和京东、阿里达成不同类型合作,分别覆盖渠道销售和技术研发,可为多品牌开放合作提供参考。

4. 市场机会提示:荣耀近年海外增速迅猛,证明国产手机品牌出海仍有较大增长空间,搭建本地海外供应链是支撑出海增长的核心基础。

本文透露出AI终端行业的新机会与风险提示,对手机及相关品类卖家的核心干货整理如下:

1. 新增量机会:AI将重构手机行业的用户体验,下一代Agentic OS落地后,会打破原有应用分隔的格局,催生大量基于AI系统的新应用、新配套服务需求,做细分应用、周边产品的卖家可提前卡位布局相关赛道。

2. 出海配套机会:国产手机品牌出海增速明显,荣耀2025年海外销量增长近50%,海外占比首次超过国内,欧洲、中东等区域市场空间大,头部品牌出海会带动本地物流、售后、营销、配套配件等一系列需求,卖家可依托头部品牌的出海路径挖掘配套生意机会。

3. 合作增长思路:当前头部品牌更倾向开放互补合作,而非全链路自研,中小卖家可依托自身在细分领域的优势,对接头部品牌的生态需求,嵌入头部品牌的AI生态,获取稳定的流量和增长机会。

4. 风险提示:AI体验已经成为手机及智能硬件产品的核心竞争力,没有跟进布局AI相关能力的传统硬件卖家,会逐渐丧失产品差异化优势,需要尽快跟进AI技术落地趋势,调整产品方向,避免被市场淘汰。

本次阿里荣耀合作布局下一代AI操作系统,给硬件生产工厂带来了不少启示和商业机会,核心干货整理如下:

1. 产品生产设计需求变化:随着AI操作系统重构终端体验,端侧AI算力已经成为手机等智能硬件的核心要求,未来智能硬件对承载大模型能力的芯片、相关硬件配置要求会持续提升,工厂需要调整生产研发方向,适配更高算力硬件的生产需求,跟上行业变化。

2. 新商业机会:AI技术落地正在向多个民用场景渗透,除了手机领域,阿里已经和美的合作研发家庭AI大脑,将大模型植入全屋智能,此外零售、内容生产等多个领域都在推进AI落地,相关智能硬件工厂可以主动对接头部互联网企业的AI生态,拿到新的订单和增长机会。

3. 数字化转型启示:当前行业已经进入技术驱动的新阶段,单纯依靠加工生产获取利润的空间越来越小,工厂需要跟进AI技术发展趋势,推进自身生产的数字化升级,同时借助大厂的技术能力升级自身产品,打开新的增长空间。

4. 开放合作思路:当下工厂不需要追求全链路自主研发技术,可依托自身生产制造的硬件优势,和技术大厂开展互补合作,更快实现产品落地,抢占市场先机。

AI技术落地浪潮下,给各类To B服务商带来了明确的行业趋势和业务机会,核心干货整理如下:

1. 行业发展趋势:大模型技术已经从概念研发阶段进入商业化落地阶段,正在从云侧服务走向终端系统底层,目前已经覆盖手机、智能家居、零售、内容创作等多个场景,AI落地是未来5到10年明确的行业发展主方向。

2. 核心新技术方向:智能体操作系统Agentic OS是下一代终端系统的核心发展方向,它需要多模态交互、系统级权限打通、自主决策调度等技术支撑,做相关技术研发的服务商可以提前布局,卡位赛道。

3. 客户痛点梳理:当前终端品牌落地AI系统,普遍缺大模型底座和云计算技术能力,而互联网技术大厂缺成熟的终端硬件载体,双方都有强烈的互补合作需求,服务商可依托对接能力,挖掘中间对接配套的商业机会,或是针对双方痛点开发对应的解决方案。

4. 细分业务机会:AI落地带动了大量细分需求,比如出海品牌需要覆盖全链路的海外物流售后服务商,系统重构需要配套的AI应用开发服务商,智能家居落地需要整体解决方案服务商,这些细分领域都有较大的市场空间。

阿里荣耀合作事件反映出当前行业对平台的新需求,也给各类互联网平台提供了风向参考,核心干货整理如下:

1. 行业对平台的新需求:大模型AI落地时代,用户对交互体验的要求发生变化,平台需要从原来提供应用分发能力,转向提供底层AI能力支撑,打破不同应用之间的边界,满足用户一站式完成全流程需求的新要求。

2. 头部平台的两种主流打法:当前互联网大厂争夺终端入口形成了两种成熟路径,一种是京东模式,聚焦消费场景,从渠道物流销售切入,依托购物场景叠加AI能力;另一种是阿里模式,聚焦终端系统底层,直接布局操作系统核心,提前定义下一代服务分发规则,两种模式都可为不同定位的平台提供参考。

3. 平台招商与生态建设方向:平台可借鉴阿里开放合作的思路,围绕AI落地在各个场景寻找对应领域的优质合作伙伴,共同推进AI落地,一起做大生态蛋糕,不需要追求全链路自主布局。

4. 风向规避:当前AI已经进入战略卡位阶段,全球头部科技巨头都在布局AI原生操作系统,如果平台不跟进AI落地的趋势,会逐渐丧失在下一代智能生态的话语权,需要尽快布局相关业务,卡位核心赛道,避免错失行业变革机遇。

本文披露的阿里荣耀合作事件,反映出AI和手机产业的最新动向,可为产业研究提供不少新样本,核心干货整理如下:

1. 产业最新动向:当前大模型技术落地已经进入深水区,行业竞争焦点从大模型本身的研发,转向大模型在终端系统的落地,手机作为离用户最近、使用时长最高的超级终端,已经成为各大巨头争夺的核心载体,全球科技巨头包括苹果、谷歌、华为、阿里都已经进场,AI原生操作系统正在重构整个行业的格局。

2. 新的商业模式:不同于以往巨头全链路自研的封闭模式,本次阿里和荣耀的合作是开放互补模式,阿里输出大模型和云计算能力,荣耀输出硬件终端能力,双方各取所长,这种开放合作模式可能会成为未来AI落地的主流商业模式,打破了“造终端必须自研系统”的固有路径,为产业研究提供了新的样本。

3. 产业变革方向:过去的移动互联网是应用经济,各个应用独立分隔,Agentic OS会打破应用边界,重构服务分发规则,改变用户和终端的交互关系,也会重新划分行业的利益格局,这种底层变化是非常值得研究的产业新方向。

4. 产业组织新特征:当前商业环境中,企业跨界融合成为常态,企业之间从零和竞争走向开放合作共同做大蛋糕,已经成为行业新共识,这种产业组织层面的变化,也为相关研究提供了新的观察对象。

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Quick Summary

This article reveals an industry rumor that Alibaba and Honor are jointly developing Agentic OS, a next-generation intelligent operating system for consumer terminals, which is expected to be officially announced at Honor's sub-forum during the World Artificial Intelligence Conference on July 18. Key takeaways are as follows:

1. What differentiates Agentic OS from traditional systems: Instead of passively waiting for user commands, it works as an intelligent agent that actively understands user intent and independently mobilizes capabilities across all apps on the device to fulfill demands. It breaks down silos between different applications, enabling the system to automatically combine corresponding apps and complete operations after a user states a vague need.

2. Foundations of the partnership: Alibaba boasts mature large language model (LLM) technology, cloud computing capabilities and a massive service ecosystem, with Token Foundry—the business unit leading the collaboration—holding the highest strategic priority within the company, focused on advancing commercialization of multimodal AI products. Honor, meanwhile, has solid hardware expertise and has achieved rapid market growth in recent years: It shipped over 71 million smartphones in 2025, with overseas sales growing nearly 50% pushing its overseas share above 50% for the first time. It holds 34% of the foldable phone market in Europe, and has already made technical breakthroughs in on-device AI, creating ample room for collaboration.

3. Differences between this partnership and Honor's collaboration with JD.com: Honor's cooperation with JD.com focuses on channel logistics and sales, and is a commercial-level partnership. By contrast, Alibaba's collaboration goes deep into the underlying reconstruction of the mobile system, forming a core strategic layout for AI commercialization.

The Alibaba-Honor partnership provides clear industry trend insights and cooperation models for brands in the AI and smartphone sectors. Key takeaways are as follows:

1. Consumer and industry trends: Competition in the smartphone industry has shifted from competing on hardware specs such as cameras and displays to differentiating through AI experiences. As consumer demand for intelligent interaction upgrades, proactive agent-based Agentic OS will become the core competitive track for next-generation products, and integrated experiences that break application silos will be the core direction for future products.

2. Product R&D direction: After the LLM technology boom, simply pre-installing AI applications can no longer build core competitiveness. Brands need to reconstruct the underlying architecture of operating systems to support LLMs' multimodal perception, system-level permission integration, and autonomous decision-making capabilities, to meet the demands of a new generation of users.

3. Cooperation model reference: Brands do not need to pursue full-link in-house development. Instead, they can pursue complementary partnerships with large internet technology companies based on their own strengths. Honor leverages its advantages in hardware and global terminal coverage to access Alibaba's LLM and cloud computing capabilities, quickly closing gaps in AI experience. Additionally, Honor's separate partnerships with JD.com (covering channel sales) and Alibaba (covering technological R&D) offer a reference for multi-brand open collaboration.

4. Market opportunity note: Honor's rapid overseas growth in recent years proves that Chinese smartphone brands still have significant room for growth in global markets, and building localized overseas supply chains is the core foundation to support outbound growth.

This article reveals new opportunities and risk warnings in the AI terminal industry. Key takeaways for sellers of smartphones and related product categories are as follows:

1. New incremental opportunities: AI will restructure the user experience of the smartphone industry. The launch of next-generation Agentic OS will break down the existing siloed app landscape, spurring demand for a large number of new AI-based applications and supporting services. Sellers focused on niche applications and peripheral products can position themselves early in these related tracks.

2. Outbound supporting opportunities: Chinese smartphone brands are seeing rapid outbound growth. Honor's overseas sales grew nearly 50% in 2025, with its overseas share exceeding domestic sales for the first time. Markets such as Europe and the Middle East offer substantial room for growth. The outbound expansion of leading brands will drive a series of demands for local logistics, after-sales service, marketing, and supporting accessories. Sellers can leverage the outbound paths of leading brands to tap into supporting business opportunities.

3. Growth through collaboration: Today's leading brands prefer open complementary cooperation over full in-house development. Small and medium-sized sellers can leverage their strengths in niche segments to align with the ecosystem needs of leading brands, embed themselves in their AI ecosystems, and access stable traffic and growth opportunities.

4. Risk warning: AI experience has become the core competitiveness for smartphones and smart hardware products. Traditional hardware sellers that have not followed up to build AI-related capabilities will gradually lose their product differentiation advantage. They need to catch up with the trend of AI commercialization as soon as possible, adjust their product direction, and avoid being eliminated from the market.

Alibaba and Honor's joint layout of next-generation AI operating systems brings multiple insights and business opportunities for hardware manufacturing factories. Key takeaways are as follows:

1. Shifts in product design and manufacturing demand: As AI operating systems restructure terminal experiences, on-device AI computing power has become a core requirement for smartphones and other smart hardware. Future smart hardware will see continuously rising requirements for chips and hardware configurations capable of supporting LLM capabilities. Factories need to adjust their R&D and production directions to meet the demand for higher-computing-power hardware and keep pace with industry changes.

2. New business opportunities: AI commercialization is penetrating into multiple civilian scenarios. Beyond smartphones, Alibaba has already partnered with Midea to develop a home AI brain that integrates LLMs into whole-house smart systems. AI commercialization is also advancing in sectors including retail and content production. Related smart hardware factories can proactively connect with AI ecosystems built by leading internet companies to secure new orders and growth opportunities.

3. Insights for digital transformation: The industry has now entered a new technology-driven stage. Profit margins from pure processing and manufacturing are shrinking. Factories need to keep up with AI development trends, advance the digital upgrade of their production processes, and upgrade their own products with the technical support of large technology firms to open up new growth space.

4. Open cooperation approaches: Today, factories do not need to pursue full-link independent technology R&D. They can leverage their own advantages in manufacturing and hardware to build complementary partnerships with large technology companies, achieve product commercialization faster, and seize first-mover advantage in the market.

Against the backdrop of the AI commercialization wave, clear industry trends and business opportunities have emerged for various B2B service providers. Key takeaways are as follows:

1. Industry development trend: LLM technology has moved from conceptual R&D to commercial deployment, and is expanding from cloud-side services to the underlying layer of terminal systems, covering multiple scenarios including smartphones, smart homes, retail, and content creation. AI deployment will be the clear main direction of industry development for the next 5 to 10 years.

2. Core new technology direction: Agent-based operating system Agentic OS is the core development direction of next-generation terminal systems, and requires technical support including multimodal interaction, system-level permission integration, and autonomous decision scheduling. Service providers focused on related R&D can position themselves early in this track.

3. Pain points of clients: Currently, terminal brands generally lack LLM infrastructure and cloud computing technical capabilities to deploy AI systems, while large internet technology companies lack mature terminal hardware carriers. Both sides have strong demand for complementary collaboration. Service providers can leverage their connection capabilities to tap business opportunities in intermediary matching and supporting services, or develop targeted solutions to address the pain points of both parties.

4. Niche business opportunities: AI deployment has driven a large number of niche demands: outbound brands need full-link overseas logistics and after-sales service providers; system reconstruction requires supporting AI application development service providers; smart home deployment needs integrated solution service providers. All these niche segments offer substantial market space.

The Alibaba-Honor partnership reflects the industry's new demands for platforms and provides strategic reference for various internet platforms. Key takeaways are as follows:

1. New industry demands for platforms: In the era of LLM-powered AI deployment, user demands for interaction experience have changed. Platforms need to transition from providing application distribution capabilities to providing underlying AI capability support, break down silos between different applications, and meet the new requirement of enabling users to complete end-to-end demands in one stop.

2. Two mainstream strategies for leading platforms: Large internet companies have formed two mature paths competing for terminal entry. The first is the JD.com model: it focuses on consumer scenarios, enters the market through channel logistics and sales, and adds AI capabilities on top of shopping scenarios. The second is the Alibaba model: it focuses on the underlying layer of terminal systems, directly layouts the core of operating systems, and pre-defines the rules for next-generation service distribution. Both models provide references for platforms with different positioning.

3. Direction for platform merchant recruitment and ecosystem building: Platforms can learn from Alibaba's open collaboration approach, seek high-quality partners in various fields around AI deployment to jointly advance AI commercialization and expand the ecosystem pie, rather than pursuing full in-house layout.

4. Strategic warning: AI has now entered the strategic positioning stage, and leading global technology giants are all布局 AI-native operating systems. If platforms fail to follow the trend of AI deployment, they will gradually lose their voice in the next-generation smart ecosystem. They need to布局 related businesses as soon as possible, position themselves in core tracks, and avoid missing the opportunity for industry transformation.

The Alibaba-Honor partnership revealed in this article reflects the latest developments in the AI and smartphone industries, and provides new samples for industrial research. Key takeaways are as follows:

1. Latest industry developments: LLM commercialization has now entered the deep water stage, and the focus of industry competition has shifted from LLM R&D itself to the deployment of LLMs in terminal systems. As the super terminal closest to users with the highest usage time, smartphones have become the core battleground for competition among major tech giants. Leading global players including Apple, Google, Huawei, and Alibaba have all entered the space, and AI-native operating systems are reshaping the entire industry landscape.

2. A new business model: Unlike the closed model of full in-house development adopted by previous giants, the partnership between Alibaba and Honor follows an open complementary model: Alibaba outputs LLM and cloud computing capabilities, while Honor outputs hardware and terminal capabilities, with each side leveraging its own strengths. This open cooperation model may become the mainstream business model for future AI deployment, breaking the long-held assumption that "terminal makers must develop their own operating systems in-house" and providing a new sample for industrial research.

3. Direction of industrial transformation: The previous mobile internet era was an application economy, with all apps operating independently in silos. Agentic OS will break down these application boundaries, restructure service distribution rules, change the interaction relationship between users and terminals, and redistribute industry interests. This underlying shift is a new industry direction well worth further research.

4. New characteristics of industrial organization: In the current business environment, cross-industry integration between enterprises has become the norm. It has become a new industry consensus that enterprises should shift from zero-sum competition to open cooperation to jointly expand the overall market. This change at the industrial organization level also provides a new object of observation for related research.

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.

马云的神话还在继续。

出品 | 电商派Pro作者 | 李响

都说商场如战场,同行是冤家,这话确实不假。

多年来,互联网企业你争我夺,为了份额和流量打得不可开交,这几乎成了行业常态。

但万事万物都在变化,商业世界里没有永远的朋友,也没有永远的对手。

尤其是现在这个竞争激烈、技术迭代飞快的市场环境下,业务与业务之间的边界越来越模糊,企业跨界早已是家常便饭。

对他们来说,与其互相较劲,不如一起把蛋糕做大,这已经成为一种共识。

最近圈内也传来类似的消息,引起了不少人的关注。

据新浪科技披露,7月18号,世界人工智能大会WAIC上,荣耀要举办“从数字屏幕到具身智能——物理世界新范式”分论坛。

嘉宾名单里,除了大家熟悉的未来学家凯文·凯利,还有阿里巴巴集团副总裁许主洪。许主洪的身份值得留意,他是阿里ATH事业群Token Foundry多模态交互的负责人。

据公开信息,许主洪负责的Token Foundry,是目前阿里战略权重最高的业务单元之一,由阿里巴巴CEO吴泳铭亲自挂帅。

吴泳铭同时直接分管ATH事业群和Token Foundry,他是阿里最早一批核心元老,跟随马云多年,也是马云回归后亲手选定的集团CEO人选,背后是马云对技术路线的信任和重托。这个业务单元的核心任务,就是推动多模态交互和模型能力的产品化落地。

许主洪出现在论坛嘉宾名单里,显然背后不简单。

果不其然,从荣耀内部渠道了解到,阿里和荣耀的确计划官宣一项重磅合作。目前,阿里、荣耀方面暂未进行正面回应。

如果消息属实,那说明双方合作将聚焦在下一代终端操作系统,业内称为Agentic OS。

所谓Agentic OS,指的是能主动理解用户意图、提供帮助的操作系统,不再只是被动等待指令的工具,更像一个有行动能力的智能体。

这次分论坛的主题也呼应了这一点,AI正从工具向伙伴演进。

很早之前,马云就提出过这样一个说法,叫“人算不如天算,天算就是云计算”。

在他的构想里,无论是做决策还是立规矩,都不该止步于“人算”,而要往更科学、更看长远的“计算”去走。

阿里也是认准了这一点,在六年前就笃定“数据是未来的方向,云计算是未来的方向”。

时至今日,这个想法在与荣耀的合作中落地生根。

而为什么会和荣耀合作?这可能与其近几年的市场表现有关。

数据显示,2025年荣耀全年手机发货量超过7100万台,海外销量增长接近一半,海外占比首次超过50%。

根据Counterpoint数据,2024年荣耀折叠屏Magic V5在欧洲拿下了34%的份额,最新旗舰Magic8也在端侧AI上做出了一些突破。

硬件底子扎实,才有承载一套新操作系统的可能。

阿里与荣耀若真的达成合作,显然会给行业带来更多可能性。

此前荣耀和京东也有合作,但路线不同。

今年1月,京东官方对外披露,京东物流与荣耀在中东地区的合作再进一步,双方已联合搭建起多个本地海外仓。

目前,京东已成为荣耀在该区域最重要的供应链物流服务商之一,为其销量增长提供了有力支撑。

事实上,早在去年6月,双方就已先行在阿联酋落地首个海外仓项目。

随着合作不断深化,半年后又在沙特新增设仓,业务版图持续扩展。

根据官方信息,京东物流现为荣耀提供覆盖中东北非主要国家和地区的全链路一体化服务,既包括电商平台的订单履约,也涉及线下门店的配送支持,以及逆向退货等售后环节,几乎包揽了当地市场的整体物流运作。

另外,李响了解到,京东跟荣耀签的是全渠道战略,核心围绕销售展开。京东帮荣耀铺渠道,做营销,把手机更快送到消费者手里,本质还是商品交易。

手机卖出去了,大家各取所需。这类合作当然重要,但更多停留在商业联动层面。

阿里这次要介入的深度,明显高出不少。

此次阿里和荣耀合作布局的是系统底层,是芯片之上、应用之下的核心地带。

或许合作之后,荣耀手机从开机那一刻起,就会带着阿里的AI能力。

不是预装一个语音助手应用那么简单,而是让整个系统围绕AI重新生长。用户长按电源键,或对着屏幕说出一个模糊的想法,系统就能调动所有能力去完成,不用在各个应用之间来回切换。

这个区别有多大?打个比方,京东的合作像是给荣耀装上了高效的物流车轮,让手机卖得更远,而阿里和荣耀的合作则是直接放在AI技术落地上,从源头开干。

两者并非竞争关系,但折射出互联网大厂对终端入口两种不同的打法。

京东牢牢把住消费场景,从购物切入,让AI帮忙下单、比价、跟踪物流。阿里则直取中枢,要在人机交互的最底层,定义下一个十年的服务分发规则。

放眼行业,大模型技术全面爆发之后,手机操作系统似乎成了争夺焦点,所有厂商都在找落地的核心载体。

手机依然是离人最近、使用时长最高的超级终端。谁能把大模型和手机底层系统做深度适配,谁就拿到了通往用户意图的通行证。

过去大家习惯了应用经济,每个应用都是单独的,打车用一个,吃饭用一个,社交用另一个。

但Agentic OS似乎要打破这些墙。或许可以做到,用户说出需求,系统就能自行组合日历、邮件、地图、电商,把所有事情办完。

这背后需要的是系统级的权限打通、多模态感知和自主决策能力。而这些,都必须从操作系统的底层架构开始重构。

苹果在布局Apple Intelligence,谷歌把Gemini嵌进安卓,华为鸿蒙也在走全场景智能的路子。

每一个巨头都明白,再不进场就晚了。

阿里虽然不造手机,但它有大模型,有云计算,有庞大的服务生态,它需要加速AI和云计算技术的落地。

而荣耀既有高端机型的AI硬件算力,又有全球化、全价格段的覆盖能力,而且不像部分厂商那样必须完全自研系统,合作空间更大,是非常好的中断合作伙伴。

阿里最近的一系列动作也指向这条AI落地的主线。

在终端与芯片方面,阿里与MediaTek在天玑移动平台上完成了通义千问大模型的端侧部署,使用户在离线状态下也能获得即时、精准的多轮人机对话体验。

智能家居与生活服务方面,阿里与美的签署战略合作,联合研发家庭AI大脑,将千问大模型植入全屋智能,让空调、冰箱从听从指令进化为预判需求。

此外,苏宁易购旗下碧英科技与阿里云达成合作,共同推动AI大模型能力在零售及更多行业规模化落地。

在内容生成领域,阿里还领投了爱诗科技近30亿元的C轮融资,加码视频大模型布局。

如今轮到荣耀,这条逻辑线依然连贯。

在终端、家庭、零售到内容创作的每一个关键场景,阿里都在寻找最具落地能力的合作伙伴,把AI真正用起来。

与荣耀达成合作,阿里显然受益很大。

而荣耀自身正加速布局Agentic OS,也急需一个强大的AI合作伙伴来共同落地场景化体验。

就当前来说,手机行业的竞争,早已超越摄像头、屏幕等硬件层面的比拼,AI体验正成为决定产品差异化的关键变量。

荣耀Magic8已经展示了一些端侧AI能力,比如实时翻译、智能修图,但要实现真正的Agentic OS,需要一个能处理复杂多模态任务、连接海量服务的大模型底座。

阿里AI和云计算的能力,正好可以补上这块拼图。

某种程度上,看待阿里与荣耀的合作,重点不在采购金额的数字,而在于战略卡位的分量。

阿里通过荣耀,有望拿到下一代智能终端生态的入场券。这张入场券的价值,在于它可能重新定义手机和人的关系。

若消息属实,等到7月18号,双方在WAIC分论坛上亮出具体方案,外界或许能第一次看到Agentic OS的雏形。

一个会看、会听、会想、会做的操作系统,有可能会从概念走向实物。

当手机真正变成能理解人的伙伴,会呈现出什么面貌?它掌握日程、偏好、社交关系,在恰当的时间给出恰当的建议,甚至替用户完成一连串操作。

到那时候,手机就不再只是硬件,而是一个陪伴身边的智能体。

阿里和荣耀的这次联手,也许就是那个转折点的开端。

巨头之间每一次握手,都在划定未来世界的权力格局。

属于合作的新故事,才刚刚开篇。

注:文/李响,文章来源:电商报(公众号ID:kandianshang),本文为作者独立观点,不代表亿邦动力立场。

文章来源:电商报

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FAQ回顾

Agentic OS是什么?

Agentic OS即下一代终端智能操作系统,不再是被动等待用户指令的工具,而是可主动理解用户意图、提供服务的具备行动能力的智能体,能打破应用间壁垒,自主组合多应用能力完成用户需求。

阿里为什么选择和荣耀合作研发智能操作系统?

荣耀硬件底子扎实,2025年全年手机发货量超7100万台,海外占比首次超50%;2024年折叠屏Magic V5在欧洲拿下34%市场份额,旗舰Magic8在端侧AI已有突破,且具备全球化全价格段覆盖能力,合作空间大。

阿里与荣耀的操作系统合作和京东与荣耀的合作有什么区别?

京东与荣耀的合作聚焦商业层面,围绕中东北非供应链物流、全渠道销售营销展开;阿里与荣耀的合作聚焦系统底层,将阿里AI能力深度植入操作系统,重构人机交互逻辑,二者是不同的终端入口打法。

当前手机厂商布局AI操作系统有什么价值?

当前手机行业竞争已脱离摄像头、屏幕等硬件参数比拼,AI体验成为产品差异化的核心变量,掌握大模型与手机底层系统的深度适配能力,就能拿到通往用户意图的通行证,重新定义人与手机的交互关系。

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