On-device AI Redefines CES 2026 Computing

CES 2026 is poised to mark a definitive shift in how artificial intelligence integrates into daily life, moving beyond experimental stages to pervasive on-device intelligence. According to the announcement, the Arm Newsroom Blog highlights a future where AI processing is increasingly localized, powering responsive, private, and personalized experiences directly on consumer electronics. This fundamental architectural evolution, driven by the Arm compute platform, signals a new era for edge AI, fundamentally reshaping user interaction and device capabilities across diverse sectors.The “AI PC” is no longer a concept but a mainstream reality, with Windows on Arm expecting over 100 models in 2026 across every major OEM. This expansion, alongside Apple’s M-series MacBooks and Google Chromebooks, underscores the critical demand for high performance and extended battery life, essential for handling intensive local AI tasks like real-time translation, advanced image enhancement, and meeting summaries without cloud reliance. The NVIDIA DGX Spark, featuring a GB10 Superchip with 20 Arm cores, further exemplifies this trend, enabling local inference for massive 120-billion-parameter language models and complex ComfyUI image generation workflows. This capability allows developers to run workloads that previously required expensive cloud instances directly on a silent, secure desktop, democratizing access to powerful AI tools and fostering innovation at the personal computing level. The move signifies a crucial step towards truly autonomous and private personal computing, where sensitive data remains on the device, enhancing user control and security. Wearable technology at CES 2026 will showcase how on-device AI is making intelligence more personal and portable, seamlessly integrating into daily routines. Meta’s latest Ray-Ban smart glasses, paired with a wrist-worn Neural Band control device built on Arm CPUs and Ethos-U55 NPUs, demonstrate continuous spatial AI and on-device inference within strict power and thermal limits. This allows for hands-free capture, voice interaction, and discreet visual cues without constant cloud connectivity, fundamentally changing how we interact with digital information in the physical world. Similarly, the Oura Ring Gen 4, built on Arm-based silicon, evolves health tracking from simple step counting to a daily companion that interprets complex patterns of sleep, stress, and recovery, offering timely guidance and personalized insights. The ability to run real-time intelligence locally, while keeping data private and extending battery life, is paramount for these always-on, intimate devices, fostering greater trust and utility. The Pervasive Shift to Local IntelligenceThe smart home ecosystem is also undergoing a significant transformation, with intelligence migrating from the cloud to local devices and hubs, driven by evolving consumer priorities for privacy, energy efficiency, and reliability. Smart displays and hubs, such as Google Nest systems, are increasingly handling AI tasks like presence detection, local voice control, and automation flows directly on the device, reducing latency and reliance on external networks. Major smart TV manufacturers like Samsung, LG, TCL, and Hisense are also positioning their products as home control surfaces, integrating media with the management of Matter-compatible devices and acting as central AI processing units for the home. This decentralization addresses growing consumer demands for enhanced privacy by keeping sensitive data local, reduced energy consumption through optimized local processing, and improved reliability, ensuring critical functions operate independently of internet connectivity. Arm-based microcontrollers and application processors provide the necessary compute mix, balancing power efficiency with robust performance for these interconnected systems, paving the way for truly ambient intelligence. Beyond consumer electronics, on-device AI is fundamentally reshaping autonomous experiences and robotics, pushing the boundaries of physical AI. Automakers are rapidly transitioning from software-defined vehicles to AI-defined platforms, where real-time perception, prediction, and split-second decision-making are foundational capabilities. Rivian’s in-house autonomy platform and Tesla’s next-generation AI5 chip, both built on Arm, exemplify this, delivering up to 40x faster AI performance for advanced driver assistance and full autonomy, crucial for safety and efficiency in complex environments. In robotics, CES 2026 will feature robots moving beyond the lab, with examples like DEEP Robotics’ LYNX M20 Pro for industrial inspection and humanoids from Agility Robotics and AGIBOT deployed in commercial environments. These systems rely on low-power, energy-efficient Arm compute to perform complex AI tasks like navigation, object recognition, and manipulation directly on the device, enabling practical, scalable deployment in real-world settings and accelerating the integration of intelligent machines into our infrastructure. CES 2026 will solidify the narrative that intelligence is no longer a centralized utility but an embedded, adaptive force across the entire technology spectrum. The consistent thread, from autonomous vehicles and sophisticated robotics to AI PCs, health wearables, and smart home systems, is the Arm compute platform enabling extraordinary, efficient, and reliable AI experiences precisely where they are needed. This shift promises not just smarter, more capable devices, but a more integrated, private, and responsive digital existence, fundamentally altering how we interact with technology and the world around us, and setting a new standard for intelligent systems.