Record Low! Apple AirPods 4 Drop to 90 in Early Black Friday Deal
By Cheyenne MacDonald
Published on November 9, 2025| Vol. 1, Issue No. 1
Content Source
This is a curated briefing. The original article was published on Engadget.
Summary
This article highlights an early Black Friday deal on Apple AirPods 4, making the non-Active Noise Cancellation (ANC) model available for a record-low $90 on Amazon, a 30% reduction from its standard $130 price. The ANC-equipped version is also on sale for $150. Positioned as the "best budget AirPods" for 2025, these earbuds integrate Apple's H2 audio chip, enabling features like Voice Isolation and Personalized Spatial Audio with dynamic head tracking. They boast a redesigned ergonomic fit, force sensor controls for playback and calls, and Siri activation. While the non-ANC model lacks Transparency Mode and Conversation Awareness, the ANC variant includes Live Translation. Battery life offers up to 5 hours on a single charge for the non-ANC model, extending to 30 hours with the USB-C charging case.
Why It Matters
While presented as a consumer electronics deal, this news offers several insights for professionals in the AI industry. The integration of Apple's H2 audio chip, powering features like "Voice Isolation" and "Personalized Spatial Audio with dynamic head tracking," signifies the increasing reliance on on-device, or "edge," AI for sophisticated audio processing. Voice Isolation, for instance, likely leverages advanced machine learning algorithms to intelligently separate and enhance a user's voice from background noise in real-time. Personalized Spatial Audio demonstrates how AI algorithms can process sensor data (like head movements) to dynamically adapt audio experiences, offering a glimpse into the future of adaptive and immersive computing interfaces. Furthermore, the inclusion of "Live Translation" in the ANC model showcases the democratization of advanced AI capabilities, bringing real-time language processing from premium devices to more accessible, "budget"-friendly options. This trend underscores a critical demand for AI engineers: developing highly efficient, low-latency AI models capable of running on resource-constrained edge hardware. It also highlights the growing consumer expectation for seamlessly integrated, AI-enhanced features as a standard in everyday technology, pushing the boundaries of what constitutes an "intelligent" device at every price point and influencing future AI product development strategies.