Samsung is making a historic shift in its smartwatch strategy, abandoning its own Exynos processors in favor of Qualcomm's Snapdragon Wear Elite chipset for the upcoming Galaxy Watch Ultra 2. This move signals a fundamental change in how the two tech giants are collaborating on artificial intelligence, moving from a traditional supplier relationship to a deep partnership where they design chips together from the ground up. Why Is Samsung Switching Away From Its Own Chips? For years, Samsung relied on its in-house Exynos W1000 processor for its smartwatches. However, the Galaxy Watch Ultra 2, expected to launch in July 2026, will feature Qualcomm's Snapdragon Wear Elite, a 3-nanometer processor designed specifically for on-device artificial intelligence. The shift reflects a broader industry trend where companies are realizing that building powerful wearables requires specialized expertise that goes beyond traditional smartphone chip design. The Snapdragon Wear Elite brings several critical improvements over Samsung's previous approach. Early benchmarks show significant gains in single-core and multi-core processing power, which will be essential for running artificial intelligence features directly on your wrist without relying on cloud servers. The 3-nanometer architecture also improves power efficiency, potentially extending battery life from the current 2 to 3 days up to 3.5 or even 4 days on a single charge, despite keeping the same 590-milliampere-hour battery capacity. Most importantly, the Snapdragon Wear Elite includes a dedicated neural processing unit, or NPU, capable of running small language models locally on the device. This means your watch can perform artificial intelligence tasks without sending your health data or personal information to distant servers. What New Capabilities Will On-Device AI Bring to Your Wrist? The move to Qualcomm's architecture opens the door to artificial intelligence features that simply weren't possible before. Samsung is planning what it calls "Personalized Intelligence," which includes AI coaching that analyzes your physiological data to tell you exactly how hard you should train on any given day. The watch will also feature deeper integration with Google's Gemini artificial intelligence assistant, enabling more capable voice-activated tasks and smart replies. Beyond fitness coaching, the Galaxy Watch Ultra 2 is rumored to include non-invasive glucose monitoring using optical sensors, a feature that could estimate blood sugar levels without requiring a finger prick. The refined BioActive sensor array will also provide better accuracy for heart rate variability and sleep tracking, areas where Samsung has traditionally lagged slightly behind competitors like Apple. How to Prepare for the Next Generation of AI Wearables - Understand on-device AI benefits: On-device artificial intelligence means your health data stays on your watch rather than being sent to cloud servers, offering better privacy and faster response times for features like AI coaching and health monitoring. - Evaluate connectivity needs: The Galaxy Watch Ultra 2 will feature 5G connectivity and satellite support through NB-NTN (Non-Terrestrial Network) technology, making it useful for hikers and travelers in areas without cellular coverage. - Consider the upgrade timeline: If you own the original Galaxy Watch Ultra or the 2025 refresh, waiting until July 2026 for the Ultra 2 makes sense, as Samsung is positioning this as a "true next-gen" upgrade rather than an incremental refresh. The partnership between Qualcomm and Samsung goes far deeper than a simple chip swap. According to industry reports, the two companies now collaborate from the earliest stages of product planning, co-designing not only processors but also optimizing display, camera, and power efficiency as one integrated platform. A single smartphone can require nearly three years of joint development under this model. This collaborative approach reflects a broader shift in the technology industry. Qualcomm executives have stated that smartphones have become too complex for a plug-and-play approach, and the same principle applies to advanced wearables. To achieve top-tier performance with artificial intelligence capabilities, companies must operate as a single team rather than as separate entities. What Does This Partnership Mean for the Future of AI on Wearables? The Galaxy Watch Ultra 2 represents the beginning of what industry observers are calling the "second round of AI smartphones," though in this case applied to wearables. The competition is no longer about individual features; it is about who can build and control the most complete platform combining hardware, software, and artificial intelligence. Samsung's decision to adopt Qualcomm's Snapdragon Wear Elite also signals confidence in the chipmaker's ability to deliver on artificial intelligence performance. The Snapdragon X series, particularly the X2 lineup used in smartphones, features NPU performance reaching up to 80 TOPS (tera operations per second), representing a completely different level of artificial intelligence processing compared to traditional mobile processors. CPU single-core performance is up 39 percent, multi-core performance has improved by 50 percent, and graphics performance can be up to 2.3 times faster compared to previous generations. The Galaxy Watch Ultra 2 will likely debut with One UI 9 Watch, based on Wear OS 7, with a focus on what Samsung calls "Personalized Intelligence". The watch is expected to launch at Samsung's summer Unpacked event in July 2026, alongside the Galaxy Z Fold 8 and the standard Galaxy Watch 9. Samsung has historically kept flagship pricing stable to remain competitive, and most industry insiders expect a starting price of $649.99 for the Ultra 2. This partnership demonstrates that in the era of on-device artificial intelligence, the winners will not be single companies working in isolation. Instead, they will be teams with the strongest alliances, combining deep expertise in chip design, software optimization, and hardware engineering. For consumers, this means smartwatches that are faster, smarter, and more capable of handling complex artificial intelligence tasks without draining your battery or compromising your privacy.
