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Apple AirTag 2 expected in 2025

Apple AirTag 2 expected in 2025
Apple AirTag 2 expected in 2025

Apple is working on a second-generation AirTag, set to launch in mid-2025. The new item tracker will feature several upgrades to improve performance and address privacy concerns. One of the key improvements is a new ultrawide band chip that will extend the range for precision finding.

Users will be able to track their AirTags from up to 90 meters away, compared to the current 10 to 30 meters. A newer wireless chip is also expected to enhance location accuracy, particularly in less populated areas. This upgrade aims to ensure better reliability when tracking items.

In response to concerns about misuse, Apple plans to incorporate better anti-stalking features in AirTag 2. These improvements will make it easier for targeted users to locate any AirTags that may be tracking them without consent.

New AirTag improvements and features

The project, code-named B589, is set for release in mid-2025. Meanwhile, the current generation of AirTags is available on sale, with a single pack priced at $24 and a four-pack at $69.99. As Apple continues to innovate, the tech giant is also making headlines with its other products.

Analysts predict a 26% upside for Apple’s stock, driven by an AI-powered “multi-year” iPhone upgrade cycle. The company is also rumored to be introducing health-focused features to its AirPods, such as heart rate monitors, temperature sensors, and cameras. These improvements aim to enhance the AirPods’ AI capabilities.

The highly anticipated M4 MacBook Air could arrive sooner than expected, while the upcoming iPhone 17 Pro is expected to retain its distinctive “triangular” camera design. With these developments, Apple continues to showcase its commitment to innovation and market leadership.

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Cameron is a highly regarded contributor in the rapidly evolving fields of artificial intelligence (AI) and machine learning. His articles delve into the theoretical underpinnings of AI, the practical applications of machine learning across industries, ethical considerations of autonomous systems, and the societal impacts of these disruptive technologies.

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