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全球首款AI智能体手机发布:这次 我们真的要跟App说再见了?

晨阳 2026-07-15 12:00
晨阳 2026/07/15 12:00

邦小白快读

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本文核心是介绍阶跃星辰发布全球首款原生AI智能体手机STEPX Neo,以及当前国内智能体手机赛道的整体发展情况,核心干货如下:

1. 这款手机的核心优势:它是国内首款拿到国家标准L3级证书的智能体手机,和传统手机外挂AI功能不同,它从底层重构了操作系统Step AOS,用户只需要说出自己的需求,智能体就能自动跨App完成任务,不用手动切换操作,同时有四维安全框架保障使用安全,记忆和执行能力都达到行业领先水平。

2. 市场相关信息:这款手机会在7月17日的世界人工智能大会首秀,目前还没公布配置和上市时间,业内估算价格大概率3500元起。当前智能体手机已经进入爆发期,一共分出四大技术阵营,IDC预计2026年国内新一代AI手机出货量能达到1.47亿台。

3. 目前的争议点:一部分用户认为这是真正的下一代手机,也有不少人担心新品牌的供应链、售后能力,以及支付安全和新交互逻辑的接受度,最终表现还需要市场检验。

本文梳理了智能体手机行业的最新发展格局,对各类品牌把握行业方向、布局新赛道有较高参考价值,核心干货如下:

1. 消费趋势与用户需求:当前传统手机行业陷入同质化内卷,用户已经不满足挤牙膏式的参数升级,期待真正的颠覆性体验,行业整体向以用户意图为中心的自主数字共生体进化,趋势已经不可逆转。

2. 技术路线参考:当前市场已经分化出四大核心阵营,分别是原生系统重构、大模型厂+硬件厂轻资产联合、硬件形态创新、传统巨头原有生态渐进升级四种路线,不同规模、不同资源的品牌都可以找到适配自身的发展路径。

3. 需要关注的用户痛点与机会:用户目前对智能体手机的支付安全、隐私保护、售后保障都有明显顾虑,品牌布局时需要针对性解决这些问题;同时原生智能体系统已经开放生态合作,首批接入了十余家头部应用,应用品牌提前适配就能抢占新生态的早期流量红利。

当前智能体手机已经从概念验证进入规模化竞争阶段,是数码品类的新增长点,核心干货整理如下:

1. 市场机会:IDC预测2026年国内新一代AI手机出货量将达到1.47亿台,赛道已经进入密集爆发期,用户对AI手机的颠覆性创新有较高的关注度和期待,市场存在大量增量空间,不同价位带都有对应的产品机会。

2. 市场反馈参考:目前不同路线的产品都已经有市场反应,原生重构路线的STEPX Neo获得了行业高度关注,努比亚和字节跳动合作的轻资产路线产品定价3499元,二手市场一度被炒到12999元,可见中价位带的智能体手机市场热度极高。

3. 风险与经营提示:目前智能体手机仍处于量产初期,存在供应链磨合不足、用户接受度不确定、安全隐私争议等问题,新品牌在硬件调校、售后渠道上经验较少,卖家备货需要优先选择头部品牌的产品,控制新品备货量,同时提前做好用户交互逻辑的科普教育,降低用户的接受门槛。

智能体手机赛道的爆发,给硬件生产制造工厂带来了新的商业机会和转型启示,核心干货整理如下:

1. 产品生产与设计需求变化:传统手机的同质化内卷已经结束,行业不再单纯比拼屏幕刷新率、摄像头像素等传统参数,转而围绕智能体能力做硬件适配,诞生了专属交互副屏、隐藏式机械臂云台等新的设计需求,对工厂的研发设计能力提出了新要求。

2. 新的商业机会:当前大模型厂商纷纷向下游硬件延伸,对代工厂的需求大幅提升,本次阶跃星辰B+轮融资就有头部ODM厂商华勤技术参与投资,首款产品也由华勤代工,越来越多新入场品牌会选择和成熟代工工厂合作,给工厂带来了新的订单增长空间,产业资本也更青睐有技术能力的制造企业。

3. 数字化转型启示:智能体手机是软硬一体化的产品,要求工厂适配端侧大模型定制、底层系统硬件适配的新需求,工厂可以深化和大模型企业的绑定合作,推进自身数字化能力升级,抓住本轮产业升级的红利。

智能体手机行业的快速发展,催生了大量新的服务需求,核心干货整理如下:

1. 行业发展趋势:智能手机正在从传统的App容器,转变为以用户意图为中心的自主进化数字共生体,软硬一体化融合是确定的长期发展方向,2026年就将进入规模化竞争阶段,整体市场空间超过1亿台出货量,行业增长潜力巨大。

2. 当前行业的核心痛点:新入场的大模型厂商缺乏硬件供应链和量产经验,传统硬件厂商缺大模型和智能体底层技术能力,用户对智能体的安全隐私保护有较强顾虑,整个行业还缺乏统一的安全技术标准。

3. 可布局的服务方向:服务商可以对接大模型厂商和硬件制造工厂,做资源整合的撮合服务;也可以参与智能体安全标准建设,推出安全审计、隐私保护相关的技术解决方案;还可以针对C端用户推出新交互逻辑的科普内容,帮助品牌完成用户教育,降低新品的市场推广阻力。

智能体手机赛道的爆发给各类平台带来了新的增长机会,核心干货整理如下:

1. 行业对平台的新需求:原生智能体操作系统需要接入各类头部应用服务,应用分发平台需要适配新的系统生态,开放接口对接智能体调度;智能体手机新品类的爆发,也给电商零售平台带来了新的招商机会和流量增长点。

2. 当前可布局的方向:目前市场已经有四大技术阵营,多个新品从3000元到8000元价位带完成布局,2026年7月起就陆续有新品亮相上市,平台可以提前对接不同阵营的品牌,提前开启新品招商和流量预热,抢占新品类的增长红利。

3. 需要规避的风险:目前智能体手机仍处于市场验证初期,存在供应链不稳定、用户接受度不确定、安全隐私争议等问题,平台招商时需要优先选择口碑好、供应链成熟的头部品牌合作,同时做好用户风险提示,跟进市场反馈调整运营策略,规避新品类带来的不确定性风险。

本文披露了智能体手机赛道的最新产业动向,对研究下一代计算终端发展有较高参考价值,核心干货整理如下:

1. 最新产业动向:2026年智能体手机赛道进入密集爆发期,市场已经清晰分化出四大技术路线,分别是原生智能体系统重构、大模型厂+硬件厂轻资产联合、硬件形态创新、传统巨头生态渐进升级,不同背景的玩家选择了适配自身的路径争夺下一代终端话语权;大模型企业阶跃星辰已经完成从模型层到硬件终端的战略闭环,推出了全球首款原生智能体手机,成为颠覆式创新路线的代表。

2. 产业面临的新问题:当前产业仍存在多个待解决的问题,包括新入场玩家缺乏供应链管理、硬件调校、售后渠道建设经验,用户对智能体的安全隐私存在普遍顾虑,还要打破传统互联网应用的生态壁垒,培养用户新的交互习惯也需要较高的时间成本。

3. 商业模式与发展趋势:当前已经诞生了自研硬件、联合开发、生态升级三种主流商业模式,行业已经完成从概念验证到规模化竞争的过渡,软硬一体化融合是确定趋势,IDC预测2026年国内出货量将达到1.47亿台,产业空间广阔,谁能实现智能体的落地谁就能拿到下一代计算平台的入场券。

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Quick Summary

This article covers the launch of STEPX Neo, the world's first native AI agent phone by Chinese AI firm Stepverse, and the overall development of China's domestic AI agent smartphone track. Key takeaways are as follows:

1. Core strengths of the device: It is the first AI agent phone in China to obtain the national L3-level intelligence certification. Unlike traditional smartphones with bolt-on AI features, it rebuilt its operating system Step AOS from the ground up. Users only need to state their needs, and the AI agent will automatically complete cross-application tasks without manual switching. It also features a four-dimensional security framework to protect user safety, with industry-leading memory and task execution capabilities.

2. Market details: The phone will make its debut at the World Artificial Intelligence Conference on July 17. Specifications and an official launch date have not yet been announced, and industry insiders estimate its starting price will likely be around 3,500 yuan. The AI agent smartphone segment is now entering a period of rapid growth, and has split into four distinct technical camps. IDC projects that shipments of new-generation AI phones in China will reach 147 million units by 2026.

3. Existing controversies: Some users see this as a true next-generation smartphone, but many others have concerns about the new brand's supply chain capabilities, after-sales service, payment security, and consumer adoption of the new interaction logic. The product's ultimate market performance remains to be tested.

This article outlines the latest development landscape of the AI agent smartphone industry, offering valuable reference for brands to understand industry direction and layout the new track. Key insights are as follows:

1. Consumer trends and user demand: The traditional smartphone industry is mired in homogenized competition, and users are no longer satisfied with incremental parameter upgrades. They are demanding truly disruptive user experiences, and the industry is irreversibly evolving toward autonomous digital agents centered on user intent.

2. Technical route references: The market has currently split into four core technical camps: native system reconstruction, light-asset partnership between large model developers and hardware manufacturers, hardware form innovation, and incremental upgrades within the existing ecosystems of traditional giants. Brands of different sizes and with different resource endowments can find development paths suited to their own capabilities.

3. User pain points and untapped opportunities: Users currently have clear concerns about payment security, privacy protection and after-sales support for AI agent phones, which brands need to address when entering the market. Meanwhile, the native AI agent system has opened up ecosystem cooperation, with more than ten leading domestic applications already onboard as early partners. Application brands that complete adaptation early can capture early traffic dividends in the new ecosystem.

AI agent smartphones have moved beyond proof of concept to enter a phase of large-scale competition, becoming a new growth driver for the consumer electronics category. Key takeaways for sellers are as follows:

1. Market opportunities: IDC forecasts that shipments of new-generation AI phones in China will hit 147 million units by 2026, as the track enters a period of explosive growth. Users have strong attention and high expectations for disruptive AI innovation in smartphones, creating massive incremental market space, with product opportunities across all price points.

2. Early market takeaways: Products following different technical routes have already entered the market and generated early feedback. STEPX Neo, which follows the native reconstruction route, has garnered extensive industry attention. The light-asset route product co-developed by ZTE's Nubia and ByteDance is priced at 3,499 yuan, and was once resold for as high as 12,999 yuan on the secondhand market, demonstrating extremely strong market demand for mid-priced AI agent phones.

3. Risks and operational notes: AI agent phones are still in the early stage of mass production, facing issues such as unpolished supply chains, uncertain user adoption, and safety and privacy controversies. New brands also lack experience in hardware tuning and after-sales channel building. For sellers, we recommend prioritizing inventory from established leading brands, controlling initial order volumes for new products, and preparing educational materials in advance to explain the new interaction logic to lower the adoption barrier for users.

The boom in the AI agent smartphone track brings new business opportunities and transformation insights for hardware manufacturing factories. Key takeaways are as follows:

1. Changes in product manufacturing and design requirements: The homogenized competition of traditional smartphones is coming to an end. The industry no longer competes solely on traditional parameters such as screen refresh rate or camera pixel count, and is instead shifting toward hardware adaptation for AI agent capabilities. This has created new design demands such as dedicated interactive secondary screens and hidden mechanical gimbal structures, raising new requirements for factories' R&D and design capabilities.

2. New business opportunities: Large model developers are increasingly expanding downstream into hardware, greatly boosting demand for foundry services. Stepverse's recent B+ round financing counted leading ODM firm Huaqin Technology as an investor, and Huaqin is also the contract manufacturer for Stepverse's first phone. A growing number of new entrants will partner with established manufacturing factories, bringing new order growth for factories, and industrial capital also increasingly favors manufacturing enterprises with strong technical capabilities.

3. Insights for digital transformation: AI agent phones are integrated software-hardware products, requiring factories to adapt to new demands for on-device large model customization and underlying system-hardware adaptation. Factories can deepen their cooperative ties with large model companies, advance upgrades to their own digital capabilities, and capture the dividends of this round of industrial upgrading.

The rapid growth of the AI agent smartphone industry has spawned a large number of new service demands. Key insights are as follows:

1. Industry development trends: Smartphones are evolving from traditional application containers to autonomous, evolving digital agents centered on user intent. Integrated software-hardware convergence is a clear long-term development direction, and the industry will enter large-scale competition by 2026, with total annual shipments exceeding 100 million units, indicating enormous growth potential.

2. Core industry pain points: New entrant large model developers lack hardware supply chain and mass production experience, while traditional hardware manufacturers lack expertise in large models and underlying AI agent technology. Users also have strong concerns about AI agent safety and privacy protection, and the industry still lacks unified security technical standards.

3. Service areas to explore: Service providers can act as matching intermediaries connecting large model developers and hardware manufacturing factories to integrate resources. They can also participate in building AI agent security standards and launch technical solutions for security auditing and privacy protection. They can also create educational content about the new interaction logic for end users, helping brands complete user education and reduce market adoption friction for new products.

The boom in the AI agent smartphone track brings new growth opportunities for all types of platforms. Key takeaways are as follows:

1. New industry demands for platforms: Native AI agent operating systems require integration with a wide range of leading application services, so application distribution platforms need to adapt to the new system ecosystem and open up interfaces for AI agent scheduling. The emergence of the new AI agent phone category also brings new merchant recruitment opportunities and traffic growth for e-commerce retail platforms.

2. Near-term opportunities for layout: The market already has four technical camps, with multiple new products positioned across price points from 3,000 yuan to 8,000 yuan. New products will be launched starting in 2026, so platforms can connect with brands from different camps in advance, launch pre-launch merchant recruitment and traffic warm-up campaigns, and capture growth dividends from the new category early.

3. Risks to avoid: AI agent phones are still in the early stage of market validation, with issues such as unstable supply chains, uncertain user adoption, and safety and privacy controversies. When recruiting merchants, platforms should prioritize partnerships with well-established leading brands with mature supply chains, add clear user risk disclosures, and adjust operating strategies based on market feedback to mitigate the uncertainty brought by the new category.

This article discloses the latest industry developments in the AI agent smartphone track, offering valuable reference for research on the development of next-generation computing terminals. Key insights are as follows:

1. Latest industry developments: The AI agent smartphone track will enter a period of rapid growth in 2026, and the market has clearly split into four technical routes: native AI agent system reconstruction, light-asset partnership between large model developers and hardware manufacturers, hardware form innovation, and incremental upgrades within existing ecosystems of traditional giants. Players with different backgrounds have chosen paths suited to their own capabilities to compete for dominance in the next-generation terminal market. Large model firm Stepverse has completed its strategic closed loop from model layer to hardware terminal, launching the world's first native AI agent phone to become the representative of the disruptive innovation route.

2. Unresolved industry challenges: The industry still faces multiple unsolved problems: new entrants lack experience in supply chain management, hardware tuning, and after-sales channel building; users have widespread concerns about AI agent security and privacy; players must break through the ecosystem barriers of traditional internet applications; and cultivating user habits for the new interaction logic requires significant time investment.

3. Business models and development trends: Three main business models have emerged: self-developed hardware, co-development partnerships, and ecosystem upgrades. The industry has completed the transition from proof of concept to large-scale competition, and integrated software-hardware convergence is a confirmed trend. IDC projects domestic shipments will reach 147 million units by 2026, indicating broad industry space. Players that successfully deliver commercially viable AI agent products will secure entry to the next-generation computing platform market.

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.

就在昨晚,大模型独角兽阶跃星辰扔出了一枚行业深水炸弹——

正式发布智能体原生操作系统Step AOS、大模型原生AI终端品牌STEPX,以及旗下首款手机产品STEPX Neo。

这不仅是国内首款斩获国家标准L3级证书的智能体手机,更是掌舵人印奇入主阶跃星辰、公司斩获50亿巨额B+轮融资后的首场“硬核肌肉秀”。

当传统手机巨头还在传统框架里外挂AI功能时,阶跃星辰选择了一条最激进的路:彻底打破App的围墙,用“意图”重构操作系统底层。

智能手机正在从“App的容器”蜕变为“自主进化的数字共生体”。

STEPX Neo软件生态首批合作伙伴包括美团、WPS、剪映、携程、高德、支付宝、百度、滴滴、京东等头部应用。

产品将于7月17日开幕的世界人工智能大会上进行首秀,目前官方尚未公布具体配置及上市时间。

从“App容器”到“自主中枢”

STEPX Neo重构人机边界

在STEPX Neo发布之前,阶跃星辰在公众视野中更多以“中国大模型六小虎”之一的形象出现。

但这场发布会表明,它的战略半径已从模型层延伸至硬件终端,完成了“由软向硬”、“由云到端”的战略闭环。

2026年1月26日,阶跃星辰宣布印奇正式出任公司董事长,负责整体战略节奏与技术方向的制定。印奇毕业于清华大学姚期智班,曾创立旷视科技,目前同时担任千里科技董事长。阶跃星辰与千里科技将深化合作,共同推进“AI+终端”战略落地。

同日,阶跃星辰宣布完成超50亿元人民币B+轮融资,参与机构包括上国投先导基金、国寿股权、华勤技术等产业投资人,腾讯、启明、五源等老股东进一步跟投。

印奇的特殊之处在于:他既懂计算机视觉时代的算法,也经历过从技术到产品、从产品到规模化落地的完整产业周期。

在发布会现场,印奇表示:“AI以光速进入智能体时代,AI从会说到会想再到会做,实现了三步跨越,智能体成为通往AGI的最佳载体。”

与市面上在Android或iOS上外挂AI模块的“补丁路径”不同 ,Step AOS是从底层架构开始为智能体重新设计的。它将硬件和原有系统的全部能力,转化为智能体可直接调用的算力、可理解的数据和能力。

具体而言,Step AOS在三个层面进行了重构:

新设施层面,传统操作系统的一切资源都围绕“人操作应用”来设计,Step AOS则专门为智能体重新分配硬件资源、重新调度系统能力。

新能力层面,Step AOS主打三大关键能力:

记忆能力方面,引入双域三步记忆结构,分为用户域与智能体域,遵循“记—理—忆”三步链路,日常问答记忆召回最快仅需15毫秒,已在Personamem、LongMemEval等国际评测基准上达到SOTA水平。

决策与执行方面,采用端云多脑体系,依据任务复杂度、成本与速度等因素动态调配不同规模的大语言模型,简单任务百毫秒内本地解决,复杂任务联动云端深度思考。阶跃自研的Step Edge端侧基座模型专为终端硬件定制,在29项权威基准评测中位列同类端侧模型第一。

安全方面,阶跃提出“可信、可见、可控、可逆”四维框架:操作在可信执行环境中完成、每步操作可审计回溯、权限按需授予用完即收,误操作支持一键撤回。阶跃还联合上海人工智能实验室发布《新一代智能体系统安全技术白皮书》及《端侧大模型网络安全指南》,并宣布共同研制智能体安全技术国家标准。

新交互层面,Step AOS引入NUI自然交互机制,支持语音、视觉、文字等多模态输入,交互范式从“过程交互”转向“结果交互”——用户不再需要在不同App间频繁切换,只需表达意图,智能体即可自主理解、规划并跨应用调度资源。

传统意义上的AI手机,本质上是一个个“App的容器”,用户需要手动点开软件、输入指令、跨应用复制粘贴。而STEPX Neo的核心差异点,在于它把这些繁琐的中间步骤全部“降维打击”了。

用户在STEPX Neo上不需要面对一桌面的应用图标,面对的只有个人智能体“Amoo”。

作为个人智能体的统一入口,Amoo展现出了极强的自主意图理解与任务拆解能力。例如,用户只需对手机说一句“帮我规划这周末去杭州的行程”,Amoo就会自主将任务拆解为:查询天气、筛选高铁票、对比酒店价格。

STEPX Neo采用橙黑配色、双后置摄像头设计,摄像头旁配备专属交互副屏。该手机由全球智能硬件ODM头部企业华勤技术代工。

业内人士基于BOM成本估算,价格可能在3500元起。

STEPX Neo亮相后,网友对它的讨论呈现出鲜明的分化。

一部分网友认为,相较于传统手机厂商挤牙膏式的AI修图、AI消除功能,阶跃星辰这种直接将智能体作为系统底座、打通跨应用调度的做法,才是真正的“下一代手机形态”。

另一方面,有观点指出,作为一个硬件领域的“新玩家”,阶跃星辰在手机供应链管理、硬件调校(如影像、发热控制、续航)以及售后渠道建设上几乎是从零开始。

同时,网友也对智能体在涉及高频、高额资金支付时的安全性和隐私保护表达了顾虑。对于习惯了传统手机操作界面的大众用户而言,能否接受这种颠覆性的交互逻辑,依然需要市场时间的检验。

智能体手机阵营的技术分野

2026年,智能体手机赛道进入密集爆发期,多条技术路线在同一舞台上展开正面交锋,从操作系统底层重构到硬件形态创新,从轻资产联合开发到系统级深度整合,不同路径的玩家正以各自的逻辑争夺下一代终端的话语权。

根据其技术架构与商业模式,当前市场已分化出四大核心技术阵营:

1. 原生智能体操作系统派(颠覆式重构)

代表产品:阶跃星辰STEPX Neo

这一阵营选择抛弃原有的传统系统框架,从零重构Step AOS操作系统。其核心理念是“不装App,只装意图”,让智能体直接调度硬件资源。

作为代表,STEPX Neo也是目前唯一斩获国家标准L3级证书的智能体手机。

2. “轻资产”联合路线(算法厂与硬件厂结盟)

代表产品:努比亚×字节豆包 (nubia M153)

采用“系统级适配”的合作模式,由大模型厂商(豆包)输出技术能力,硬件厂商(努比亚)开放硬件与系统授权。

该路径依赖Android底层的“模拟触控(INJECT_EVENTS)”权限来实现跨应用的语音自动点击与执行。该设备定价3499元限量发售,在二手市场曾被一度炒至12999元。

3. 硬件形态创新派(具身智能延伸)

代表产品:荣耀Robot Phone

荣耀Robot Phone计划于2026年8月全球上市,起售价7999元。

该路径最核心的突破在于硬件形态的创新,其内置了“隐藏式机械臂云台系统”。

在交互上,结合端侧大模型YOYO的情感识别,摄像头能够通过物理层面的点头、摇头等动作直观回应用户,让AI拥有了物理实体。

4. 传统巨头的系统级重构(生态渐进升级)

这一阵营由传统手机巨头主导,致力于在原有的庞大系统生态上进行深度AI集成:

谷歌Gemini Intelligence:将Android系统升级为“智能系统”,并在状态栏中开辟了“Android Halo”专属席位,用来实时显示智能体的运行状态并接受用户指示。该功能将率先搭载于三星Galaxy及Pixel系列,让手机从被动助手升级为自主代理。

华为鸿蒙智能体框架2.0:伴随HarmonyOS 7将盘古大模型深度植入手机本地,其智能体框架已能实现90%以上复杂任务的成功运行。

小米澎湃OS 4:深度集成AI智能体并将其嵌入系统底层运行逻辑。基于自研MiMo大模型打造的移动端智能体miclaw,可直接调度超过50项系统功能,首发机型预计为小米18系列。

除此之外,OPPO、vivo等厂商也各自推出了端侧AI与智能体能力的布局。

智能体手机赛道正在从“概念验证”走向“规模化竞争”。IDC预计2026年国内新一代AI手机出货量将达到1.47亿台,未来智能体手机的竞争将进入更激烈的阶段。

从传统工具到数字共生体的跨越

过去十几年间,传统智能手机的演进轨迹已经陷入了高度同质化的怪圈。

无论是屏幕刷新率的锱铢必较,还是摄像头像素与变焦倍数的无限内卷,本质上都是在对“一块玻璃加一块芯片”的物理工具进行修修补补。

而智能体手机不再以App为中心,而是以用户的意图为中心。它将散落在各个应用生态里的服务彻底打碎、重组,用底层操作系统的自主进化,替代了人类手指在屏幕上的机械重复。

当手机开始具备理解、规划和代为执行的能力时,它就已经从一个单纯传递信息的媒介,异变为人类在数字世界里的分身与助手。

尽管在量产初期,大模型原生手机依然要面对供应链磨合、互联网生态壁垒以及用户习惯培养的重重阵痛,但这种软硬一体化的融合趋势已经不可逆转。

在这场重塑终端生态的行业洗牌中,谁能真正让智能体走出云端、触碰物理世界,谁就将手握通往下一代计算平台的最关键门票。

注:文/晨阳,文章来源:创业邦(公众号ID:ichuangyebang ),本文为作者独立观点,不代表亿邦动力立场。

文章来源:创业邦

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FAQ回顾

AI智能体手机和传统智能手机有什么区别?

传统智能手机以App为中心,是App的容器,用户需要手动操作各类应用、切换界面完成任务;AI智能体手机以用户意图为中心,搭载智能体原生操作系统,可自主理解需求、跨应用调度资源完成任务,无需用户手动操作多个App。

当前智能体手机赛道主要有哪些技术阵营?

当前智能体手机主要分为四大技术阵营:一是原生智能体操作系统派,代表为阶跃星辰STEPX Neo;二是算法厂与硬件厂结盟的轻资产联合路线;三是硬件形态创新派,代表为荣曜Robot Phone;四是传统巨头主导的系统级重构派。

2026年国内新一代AI手机出货量预计是多少?

IDC预计2026年国内新一代AI手机出货量将达到1.47亿台,目前智能体手机赛道已从概念验证阶段走向规模化竞争阶段,不同技术路线的厂商正争夺下一代终端的市场话语权。

阶跃星辰STEPX Neo有什么核心特点?

STEPX Neo是国内首款斩获国家标准L3级证书的智能体手机,搭载自研Step AOS智能体原生操作系统,记忆召回最快仅需15毫秒,支持多模态自然交互,用户仅需表达意图即可由智能体自主完成跨应用任务。

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