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对许多消费者来说，AI的许多承诺和吸引力是个人的。 消费者正在寻找过去的通用工具，想知道这些技术将如何帮助他们的日常生活。 这些趋势与新类别可穿戴设备的出现相吻合，这些设备除了能够利用强大的前沿模型外，还具有了解用户背景的内在智能。 他们在哪里？他们看到什么，听到什么？他们的习惯，喜好，时间表是什么？
从被动配件到主动的智能手机通知，智能手机已不再是宇宙的中心；尽管它仍然非常重要，但在这个个人AI范式中，AI是UI. 它把注意力转移到你，用户身上。
这些新技术令人兴奋。 但消费者真正想要的是什么？
由Qualcomm Technologies委托编写的个人AI报告，基于对世界各地(美国，英国，德国，印度，巴西和中国)关键地理学上12,000多人的调查，侧重于个人AI在智能可穿戴器中的崛起，深刻地审视了这些发展。
智能手机已不再是宇宙的中心；尽管它仍然非常重要，但在这个个人AI范式中，AI是UI.
调查答卷人对单一装置的兴趣较少，对连接的生态系统的想法反应更强。 随着人们扩展他们的设备名册，这才有意义。 受访者并非完全依靠智能手机和笔记本电脑，而是在汽车上还连接了技术，以及智能手表，智能眼镜，可听取等智能可穿戴设备，以及戒指，接针等可穿戴设备。 他们希望这些装置协同运作，这样做的方法就是分散其中任何一种装置。 相反，了解用户并贯穿所有这些设备的AI agent成为统一因素。
考虑一个典型的workday：用户的手表检测到该出发开会了，在允许的情况下，他们的AI agent因子在日历细节，实时流量和整个设备的电池状态。 在车上，它提出最佳路线，并让他们了解他们的会议议程。 智能眼镜一到，就会发出谨慎的提醒，例如会议地点或新联系人的姓名，而电话则留在口袋里。 没有任何设备可以做任何事情；每个设备都发挥最适合它的作用，由个人的AI agent协调，了解用户的背景，只按用户的指示行事。
考虑到这一点，仅仅在组合中增加更多的硬件是不够的。 尽管受访者会对新的形式因素持开放态度，他们对摩擦和不必要的复杂性会很敏感，他们要求每个新设备都带点新的东西到桌面上
使用趋势有所上升。 报告发现，拥有可穿戴衣物的人已经在频繁使用人工智能(60%至少每周使用)，这表明它越来越不成为早期领养者的趣味实验，更是临界质量习惯。
智能可穿戴的“永远”性质似乎也赢得了答复者。 报告发现下列关于用户平均持续磨损的统计数字：
- 真正的无线收音机 - 三小时
- 无线耳机 - 3小时
- 智能眼镜 - 5小时
- 音频眼镜 -- -- 6小时
- 智能表 - 9小时
- 聪明的戒指、项链和挂子 - 8小时
消费者想要个性化的人工智能
消费者信托基金
但对于智能可穿戴器周围的所有兴奋和接触，有一个诱饵因素：信任。 由于将智能可穿戴的扩展用于更个人和持久的经验，信任对于个人AI是必要的。
有关收养的最大报告问题是隐私、安全和用户控制。 近60%的受访者希望将数据保密，或至少坚持在分享之前获得批准。
换句话说，即使像高质量的音频、感知感知、电池寿命和舒适的捕食者胃口(以及代理AI能力驱动器升级意图)这样的优点，真正的收养只有在消费者信任的情况下才会出现。 他们想要安全、隐私、透明度和控制。
值得注意的是，报告发现，在Snapdragon是推出时，答卷人表示更有兴趣采用智能可穿戴器作为辅助平台。 这强化了在组合中建立可靠和可靠的技术基础的价值。
工业仍然流畅
显示报告说，消费者对AI的胃口很高，60-70%的受访者表示对高级AI感兴趣，因为他们认为这是一种新设备。 这是一个常态。 但其余的采购驱动器在设备类别上有所不同。
音频回放质量是真正无线耳机和耳机最有影响力的购买驱动器。 对智能手表来说，受访者对技术规格的关注程度低于材料等美学，在涉及智能环和接子等设备时完成。 而对于聪明的眼镜来说，所有控制类型，无论是声音，手势，还是触摸。
智能穿戴的个人AI的崛起
人工智能正进入一个新的阶段，一个个人性很强的阶段，持续存在，并且无缝嵌入我们每天穿戴的装置。 我们称之为“个人人工智能”的这一演变意味着从一般的、只用云的智能转向实时理解个人背景的人工智能：他们的习惯、喜好、环境和意图。
消费者对个人 AI agents的胃口已经进入主流。 称报告中，70%的受访者表示对AI助手很感兴趣，以每个人作为自身生态系统的中心，语音成为与agents互动的最关键，最自然的方法。
机会
智能可穿戴的行业令人兴奋。 显然消费者对个人AI的需求很高，他们希望AI是个人的，并且理解他们的背景，他们希望AI是主动的和有益的，而不是仅仅被动的。 他们正在寻找以隐私、安全和用户控制为特征的平稳、直观的经验。
智能可穿戴器包括这个“你生态系统”的大部分硬件。 消费者对生态系统感兴趣
然而，这一行业的很多内容仍未界定。 OEMs和技术制造者现在有巨大的机会进行创新，并依靠平台制造者正在建设的坚实技术基础。 消费者想要的路线图是明确的。
本报告所述所有百分比、消费者行为和态度都仅以参加我们调查的个人的答复为依据。
Qualcomm 时速技术是通信和计算技术，包括前沿AI，高性能，低功率计算和连通解决方案的全球领先者。 总部位于圣迭戈，卡利夫。 该公司为下一代移动网络和智能设备开发了技术，并设计了移动处理器和AI芯片等半导体。
本文由 AI宝库自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
This article is brought to you by Qualcomm Technologies.
For many consumers, much of the promise and appeal of AI is personal. Consumers are looking past generic tools and want to know how these technologies will help them in their daily lives. These trends coincide with the advent of new classes of wearable devices that, in addition to being able to leverage powerful frontier models, feature built-in intelligence that understand the context of a user. Where are they? What are they seeing and hearing? What are their habits, their preferences, their schedules?
It’s an astonishing pivot, from passive accessories that served mostly to send users smartphone notifications to proactive, intelligent companions. The smartphone is no longer the center of that universe; though it’s still incredibly important, in this personal AI paradigm, the AI is the UI. And it shifts the focus toward you, the user.
These new technologies are exciting. But what do consumers really want?
A Personal AI report, commissioned by Qualcomm Technologies, built on a survey of more than 12,000 people across key geographies worldwide (the U.S., U.K., Germany, India, Brazil, and China) focused on the rise of personal AI in intelligent wearables looks deeply at these developments.
The smartphone is no longer the center of that universe; though it’s still incredibly important, in this personal AI paradigm, the AI is the UI.
Survey respondents are less interested in single devices and are responding more to the idea of connected ecosystems. As people expand their roster of devices, it only makes sense. Instead of relying entirely on a smartphone and a laptop, respondents also have connected technology in their cars, as well as intelligent wearables like smartwatches, smart glasses, hearables, and other wearables like rings, pins, and pendants. They want those devices to work in concert, and the way to do that is to decentralize any single one of them. Instead, the AI agent that knows the user and works across all of those devices becomes the unifying factor.
Consider a typical workday: A user’s watch detects it is time to leave for a meeting and, with permission, their AI agent factors in calendar details, real-time traffic and battery status across their devices. In the car, it suggests the best route and briefs them on their meeting agenda. As they arrive, smart glasses surface a discreet reminder, such as the meeting location or the name of a new contact, while the phone stays in their pocket. No one device has to do everything; each plays the role it is best suited for, coordinated by a personal AI agent that understands the user’s context and acts only at the user’s direction.
With this in mind, simply adding more hardware to the mix isn’t sufficient. Even though respondents will be open to new form factors, they’ll demand more from their ecosystem of devices. They’ll be sensitive to points of friction and needless complexity, and they’ll require each new device to bring something new to the table — “incremental intelligence, convenience, or contextual awareness that their existing devices cannot deliver on their own what the report,” reads the report.
The usage trends are up. The report found that those who own wearables are already using AI frequently (60 percent use it at least weekly), which indicates that it’s becoming less of a fun experiment for early adopters and more of a critical mass habit.
The “always-on” nature of intelligent wearables appears to be winning respondents, too. The report found the following statistics on average continuous wear among users:
- True wireless earbuds – 3 hours
- Wireless headphones – 3 hours
- Smart glasses – 5 hours
- Audio glasses – 6 hours
- Smartwatches – 9 hours
- Smart rings, necklaces and pendants – 8 hours
Consumers want AI that is personal and understands their context — they’re looking for smooth, intuitive experiences that are marked by privacy, security, and user control.
Consumer Trust Is Hard-Won
But for all the excitement and engagement around intelligent wearables, there’s a gating factor: trust. As use cases for intelligent wearables expands to more personal and persistent experiences, trust is a necessity for Personal AI.
The top reported issues around adoption are privacy, security, and user control. The data points to a certain amount of caution around deeply personal use cases, like voice, health, and location, as almost 60 percent of respondents want to keep data from their wearables private, or at least insist on gaining approval before it gets shared.
In other words, even though premium features like high-quality audio, perception sensing, battery life, and comfort whet consumer appetites (and agentic AI capabilities drive upgrade intent), true adoption will come only with consumer trust. They want security, privacy, transparency and control.
Notably, the report found that respondents expressed more interest in adopting intelligent wearables when Snapdragon was introduced as the enabling platform. This reinforces the value of having an established, trusted technology foundation in the mix.
The Industry Remains Fluid
The report shows that consumer appetite for AI is high, with 60-70 percent of those surveyed expressing interest in advanced AI as they consider a new device. That’s a constant. But remaining purchase drivers differed between device categories.
Audio playback quality is the most influential purchase driver for true wireless earbuds and headphones. For smartwatches, it’s display quality and responsiveness. Respondents are less concerned about technical specifications than aesthetics like materials and finish when it comes to devices like smart rings and pendants. And for smart glasses, it’s all about the type of control, whether it’s voice, gesture, or touch.
The Rise of Personal AI in Intelligent Wearables
Artificial intelligence is entering a new phase, one that is deeply personal, continuously present, and seamlessly embedded into the devices we wear every day. This evolution, which we define as “Personal AI”, represents a shift away from generic, cloud-only intelligence toward AI that understands individuals in context: their habits, preferences, environments, and intent, in real time.
Alongside these purchase drivers is another key finding: Consumer appetite for Personal AI agents has gone mainstream. The report says that 70 percent of respondents “express strong interest in an AI assistant that can interact naturally through voice and seamlessly manage devices, apps, and everyday tasks.” With each individual as the center of their own ecosystem, voice becomes the most critical, natural method for interacting with agents.
The Opportunity
The industry for intelligent wearables is exciting. It’s clear that consumer demand for Personal AI is high, and this report dives deeply into the specifics of what respondents want out of it. They want AI that is personal and understands their context, and they want it to be proactive and helpful instead of merely reactive. They’re looking for smooth, intuitive experiences that are marked by privacy, security, and user control.
Intelligent wearables comprise much of the hardware of this “ecosystem of you.” Consumers are interested in ecosystems instead of single devices, and they’re looking for agentic AI capabilities that understand and act on their behalf.
Yet so much of the industry remains undefined. OEMs and technology makers have an enormous opportunity right now to innovate and iterate on the strong technological foundations that platform makers are building. And the roadmap for what consumers want is clear.
All percentages, consumer behaviors, and attitudes stated in this report are based only on the responses of the individuals who participated in our survey.
Qualcomm Technologies is a global leader in communications and computing technologies, including leading-edge AI, high-performance, low-power computing, and connectivity solutions. Headquartered in San Diego, Calif., the company develops technologies for next-generation mobile networks and smart devices, and designs semiconductors such as mobile processors and AI chips.
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