Xin Hua She·2026-01-10 05:13Core Insights - The 2026 CES highlighted the next phase of AI development, focusing on breakthroughs in computing power, the transition from "cloud virtual" to "physical AI," and personalized services driven by intelligent agents [1] Group 1: Computing Power Breakthroughs - The CEO of AMD, Lisa Su, stated that the number of active global AI users has surpassed 1 billion and is expected to exceed 5 billion in the future. Current computing power is insufficient to support the vision of ubiquitous AI, necessitating a 100-fold increase in global computing power over the next few years [2] - The industry is evolving from traditional methods of enhancing chip performance to a full-stack collaborative design approach, integrating chips, networks, and storage into a unified AI computing platform [2] - NVIDIA's CEO, Jensen Huang, introduced the "Vera Rubin" platform, a system-level computing platform comprising six chips, designed to significantly reduce model training time and inference costs [2] Group 2: Physical AI Implementation - Huang emphasized the evolution of AI towards "physical AI," which will understand the physical world, marking a pivotal moment for AI akin to the "ChatGPT moment" [3] - The transition from passive systems to interactive systems capable of understanding and assisting human interaction with the world is underway, with applications in autonomous driving, robotics, and industrial automation [3] - Siemens' chairman highlighted the shift towards AI-driven products and industries, indicating that industrial AI is becoming a transformative force rather than just a functional tool [3] Group 3: Development of Intelligent Agents - The co-founder of Liquid AI, Ramin Hasani, predicted that this year will be the year of "proactive intelligent agents," moving beyond reactive assistants to systems that can understand complex goals and autonomously take action [4] - Lenovo introduced its first personal super intelligent agent, Lenovo Qira, which operates across platforms and devices, enhancing user experience through context awareness and preference prediction [4] Group 4: Hybrid AI and Human-Centric Development - Lenovo's CEO, Yang Yuanqing, emphasized that hybrid AI, integrating personal, enterprise, and public intelligence, is crucial for personalized and diverse AI development [5] - The CEO of Havas Group stressed that AI should serve as a collaborative partner in human creativity rather than a replacement, reinforcing the importance of keeping humans at the center of technological advancements [5]