Amazon brings Quick AI assistant to mobile devices

Amazon has announced that its Quick AI assistant is now available on iOS and Android, marking a significant expansion beyond its initial desktop release. The update includes the platform's signature Activity Feed, which consolidates communications from email, Slack, and calendar invites into a single prioritized list. This move allows users to act on messages without switching between multiple applications, a feature previously limited to Windows and macOS environments.

The desktop version of Quick, which launched in preview in April, is now generally available. Amazon also confirmed that the AI agents powering Quick now operate in the cloud, meaning they continue processing tasks even after a laptop is closed. Results are then delivered to the user's feed, ensuring that workflows remain uninterrupted across different devices and work sessions.

Cross-device synchronization changes workflow

A key addition to the mobile release is the synchronization of tasks between desktop and smartphone. Users can now start a task on a laptop and pick it up on a phone, creating a seamless transition between work environments. This functionality is designed to address the limitations of standalone apps, which often require manual re-entry of context when switching devices. The integration aims to reduce friction for professionals who move between office and remote work settings throughout the day.

Pricing structure includes free tier

Quick offers a free tier for individual users, with paid plans starting at $20 per user per month when billed annually. Business plans range from $20 to $40 per user per month, depending on the level of access and features required. This pricing strategy positions Quick as a cost-effective alternative for small teams and enterprises looking to integrate AI into their daily operations without the higher price tags associated with some competing enterprise solutions.

According to reporting by GN technics/ai (en-US), Amazon cites business customers such as Southwest Airlines, LabCorp, and the PGA Tour as early adopters. The company emphasized that the rapid development of Quick was driven by a small team of engineers who began work in late January and shipped the initial version by April. This agile approach highlights Amazon's strategy to quickly iterate and deploy AI tools in a crowded market that includes Microsoft Copilot and Google Gemini.

Cloud agents operate independently

The shift to cloud-based agents represents a trade-off in resource management. While this architecture allows tasks to continue running in the background, it relies heavily on stable internet connectivity. Users with intermittent network access may experience delays in receiving results or updating their feeds. However, the benefit is that the processing power is offloaded from the local device, potentially extending battery life and reducing the computational load on personal hardware during long-running tasks.