Consumer Appetite for Personal AI Goes Mainstream
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 enablin
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 enablin