Amazon is exploring a future in which people interact less with smartphone apps and rely more on artificial intelligence that works quietly in the background. Panos Panay, Amazon’s Senior Vice President of Devices, Alexa and Leo, believes that a new generation of AI-powered devices could change how people manage everyday tasks.
Speaking at TechCrunch Disrupt, Panay discussed the concept of ambient computing, where devices use artificial intelligence and sensors to understand what users need without requiring them to open applications or issue instructions for every task.
His comments came as Amazon introduced two new AI-powered devices from Bee, a company focused on personal AI wearables. The products reflect Amazon’s broader interest in making AI a more natural part of people’s daily lives.
What Is Ambient Computing?
Ambient computing refers to technology that operates in the background and assists users without requiring constant interaction. Instead of opening an app, searching for information, and manually recording details, users could rely on AI-powered devices to identify useful information and organize tasks automatically.
For example, an ambient AI device might recognize an upcoming commitment from a conversation, prepare a reminder, or summarize important points from a meeting. The goal is to reduce the time people spend managing their devices and allow them to focus more on their activities.
Panay believes this approach could change the relationship between people and technology. Rather than remembering which app to use for a particular task, users could eventually expect their devices to understand the situation and provide appropriate assistance.
Amazon Introduces New AI Devices From Bee
Amazon’s latest move into this area includes two personal AI devices from Bee. The products are designed to capture useful information from everyday activities and turn it into notes, reminders, and actionable insights.
One device is a wearable band that can be worn on the wrist or detached and used as a pendant. The second is a credit-card-sized gadget that attaches magnetically to the back of a smartphone.
These devices are designed to work in the background rather than requiring users to interact with a traditional application throughout the day. By processing conversations and identifying relevant details, they aim to help users remember tasks and information that might otherwise be forgotten.
The approach could be useful for people who regularly attend meetings, manage busy schedules, or need to keep track of several conversations and commitments.
Privacy Remains a Key Concern
Devices that listen to conversations and process personal information raise important questions about privacy. Amazon says Bee’s approach is designed to address some of these concerns by processing audio in real time rather than retaining raw audio recordings.
According to the company’s description, raw audio is deleted after processing, while conversation transcripts are encrypted using keys controlled by the user’s device. Amazon says this design prevents others, including its employees, from accessing those files unless users choose to share them.
Panay emphasized that privacy must be considered when developing ambient AI products. Devices that operate continuously in the background need to give users meaningful control over how their information is collected, processed, and shared.
However, users should still review the devices’ privacy policies, recording indicators, sharing controls, and data-retention settings before using them in sensitive environments.
Could AI Make Smartphone Apps Less Important?
One of Panay’s central arguments is that applications may become less important as AI systems improve. Today, users often need to open separate apps to take notes, organize schedules, find information, and manage tasks.
In a more AI-driven environment, these activities could be handled through a connected intelligence layer that understands a user’s needs and coordinates actions across different services.
For instance, instead of opening a note-taking app after a meeting, a user might receive an organized summary and a list of follow-up tasks automatically. Similarly, an AI assistant could help manage reminders without requiring the user to navigate several different applications.
Panay believes a future generation of users may expect technology to understand their needs rather than requiring them to specify which app should perform each task.
This does not necessarily mean that apps will disappear. Instead, the way people access their features could change, with AI becoming the primary interface for many everyday activities.
Smartphones Will Still Have a Role
Despite the growing interest in ambient AI, Panay does not expect a single type of device to replace all others. Smartphones remain useful because they combine communication, entertainment, photography, payments, navigation, and many other functions in one device.
Wearables, smart speakers, smartphones, and other connected products could instead work together through a shared intelligence layer.
Under this model, users might interact with a wearable for quick reminders, use a smartphone for visual tasks, and rely on a voice assistant for other activities. AI could connect these experiences and make switching between devices less noticeable.
For technology companies, this creates an opportunity to develop products that work together rather than compete solely on the number of applications or features they offer.
What This Means for the Future of Personal Technology
The shift toward ambient computing could change how software developers design applications and services. Rather than building every experience around a dedicated app, developers may increasingly focus on making their services accessible to AI assistants and automated workflows.
Businesses could also explore AI tools that help employees organize meetings, track commitments, and manage routine tasks. For consumers, the appeal will depend on whether these products save time without creating new concerns about privacy, accuracy, or unwanted automation.
There are still practical challenges to overcome. AI systems must interpret conversations accurately, understand context, avoid generating incorrect reminders, and work reliably across different devices and services. Users will also need clear ways to review and correct information generated by AI.
Conclusion
Amazon’s investment in Bee and its interest in ambient computing point toward a future in which AI becomes a more active part of everyday technology. Panos Panay believes people could eventually rely less on opening individual apps and more on devices that understand their needs and help complete tasks automatically.
Smartphones and applications are unlikely to disappear overnight. However, if AI-powered devices can deliver reliable assistance while protecting user privacy, they could change how people interact with technology in the years ahead.