（文章来源：科技日报） 随着头部厂商陆续下场，手机AI智能体的实现路径、落地深度与系统整合能力，或将成为新一轮竞争 的关键分水岭。 2月26日，三星正式发布Galaxy S26系列，相关功能围绕"手机自动驾驶"式的AI操作能力展开，引发行 业关注。据介绍，升级后的手机助手作为对话式设备智能体，可听指令完成例如打开美团订电影票、预 约出租车等任务，用户只需核对详情并点击确认即可。该模式与此前大火的"豆包AI手机"类似。行业人 士认为，三星的动作从侧面印证了AI智能体已成为智能手机行业的共同演进方向。 值得注意的是，AI能力也更多应用在安全性和隐私保护方面。用户可根据使用场景自定义防窥显示屏 的防窥模式，并可灵活调整隐私等级。"部分屏幕区域防窥"选项可智能限制通知弹窗的可视范围，"最 大隐私保护"选项则会进一步弱化侧面视角的可见性。基于AI的来电筛选功能可识别陌生来电并概括来 电意图，帮助用户更安全地管理通话。基于机器学习的隐私提醒功能，一旦发现具备设备管理权限的应 用，在非必要情况下试图访问敏感数据（如精准位置、通话记录或联系人），便会主动向用户发送实时 提醒。 ...

Core Insights - The article discusses the evolving landscape of AI in the smartphone industry, particularly focusing on Chinese manufacturers adapting to new strategies in AI application development and deployment [1][10]. Group 1: AI Development Strategies - U.S. AI companies are creating a new ecosystem by investing in computational power for large model applications, with OpenAI and NVIDIA leading the charge [1]. - Chinese manufacturers are shifting their focus from competing on large model parameters to utilizing smaller models for practical applications, emphasizing cost-effectiveness and real-world usability [1][2]. - The development of AI capabilities in smartphones is increasingly centered on enhancing user experience through practical applications rather than merely increasing computational power [10]. Group 2: Practical Applications of AI - Chinese smartphone brands are showcasing advancements in AI that allow for proactive user interactions, such as predicting user actions and automating tasks [3][4]. - Honor's CEO highlighted the ability of AI to enhance user experience by simplifying complex tasks into single-step actions, demonstrating the practical benefits of AI integration [3][4]. - Vivo and OPPO are also exploring AI applications, with Vivo focusing on content organization and OPPO developing features for automatic bill recognition and memory assistance [5][4]. Group 3: Challenges in AI Implementation - Despite initial successes, the smartphone industry faces challenges such as power consumption, computational demands, and cost pressures that hinder widespread AI adoption [7][8]. - The need for additional investments in specialized hardware, such as NPU chips, increases costs significantly, impacting profit margins for manufacturers [8]. - The reliance on cloud support for complex tasks indicates that current mobile AI capabilities are still limited, necessitating further development [7]. Group 4: Market Trends and Future Outlook - The number of AI-supported scenarios in smartphones is rapidly increasing, with manufacturers reporting significant growth in the capabilities of their AI systems [9]. - The trend towards integrating AI into smartphones is expected to continue, with projections indicating that the percentage of smartphones supporting generative AI will rise significantly by 2029 [9]. - The article concludes that Chinese smartphone manufacturers are at the forefront of AI development, with their focus on practical applications potentially leading to a new commercial cycle in the industry [10].

Core Insights - The emergence of mobile AI agents is transforming the technology and consumer markets, evolving from passive voice assistants to intelligent partners that can perceive, think, and act, thus unlocking a new blue ocean in the smart economy [1] - This transformation is not just about technological upgrades or market expansion, but also about a profound reshaping of the industrial ecosystem and development models, moving from "individual advancement" to "collaborative construction" as the key to future success [1] Group 1 - The journey of AI agents breaking boundaries begins with a revolution in user experience, transitioning from "service seeking people" to "services seeking people," driven by the continuous efforts of terminal manufacturers to integrate large model capabilities into devices [1] - This evolution has effectively stimulated new consumer vitality and injected strong technological momentum into market recovery [1] Group 2 - However, while technology can break boundaries easily, ecological integration poses significant challenges, including cross-application collaboration, data privacy security, and unified ecological standards [2] - The establishment of China's first intelligent agent security ecological collaboration organization signifies a shift from competitive rivalry to cooperative coexistence within the tech industry, emphasizing the need for deep integration of basic hardware and software with upper-layer applications and an open ecosystem [2] Group 3 - The future competition in the smart economy will focus on the health and collaborative strength of the entire ecosystem rather than individual products or technologies [3] - Chinese tech companies must seize the opportunity presented by the AI-led industrial transformation to foster development through openness, collaboration, and innovation, thereby injecting robust digital intelligence into high-quality economic development [3]