Apple Preps Low-Cost MacBook, AI Wearables
Apple is gearing up for a major product event on March 4, with reports indicating a new budget-friendly MacBook is on the way. The device, powered by a new A18 Pro chip, is aimed at being an “incredible value” to win over Windows users. The company is also expected to push further into AI with new wearables, including smart glasses and AirPods with cameras.
The upcoming low-cost MacBook is expected to be priced aggressively, with analysts suggesting a starting point between $599 and $899 to directly challenge the Chromebook market. This strategy aims to attract students and first-time Mac users who have been priced out of the current lineup. The device is rumored to feature a 12.9-inch display and an aluminum chassis, potentially available in a variety of colors including yellow, green, and blue. Powering the new budget-friendly laptop will likely be the A18 Pro chip, the same processor found in the iPhone 16 Pro. This 6-core CPU, built on a 3nm process, is expected to deliver performance comparable to the M1 chip, making it more than capable for everyday tasks like web browsing, document editing, and streaming. To keep costs down, some reports indicate it may have a display with lower brightness, no backlit keyboard, and slower SSD speeds. Alongside the new MacBook, Apple's push into AI wearables is gaining momentum with a trio of devices in development: smart glasses, an AI pin, and camera-equipped AirPods. The smart glasses are positioned as a high-end competitor to Meta's Ray-Bans and will reportedly feature an advanced camera system to power a new "Visual Intelligence" platform, allowing a revamped Siri to understand and interact with the user's surroundings. The initial version of Apple's smart glasses is not expected to have a display in the lens; instead, it will rely on a voice-based interface for interactions. Production could start as soon as December 2026, with a potential launch in 2027. The camera-enabled AirPods, which may see a release this year, are rumored to incorporate low-resolution or infrared cameras to enhance AI features and environmental awareness.
