Zhong Guo Zheng Quan Bao·2026-01-28 20:58Core Insights - The article discusses the rapid evolution of artificial intelligence (AI), particularly focusing on the transition from conversational models to more capable agents that can perform complex tasks autonomously. This shift is expected to reshape technology development paths and business ecosystems by 2026 [1][2]. Group 1: AI Evolution and Capabilities - The daily consumption of tokens by large language models has surged over 300 times in a year and a half, indicating a significant increase in AI processing capabilities [1]. - Major companies in China, such as Alibaba, Kimi, and DeepSeek, are launching new generation large models that emphasize native agent capabilities rather than just parameter size, marking a shift from "chatting" to "doing" [2]. - The introduction of models like Alibaba's Qwen3-Max-Thinking, which features over a trillion parameters and enhanced agent capabilities, sets a new benchmark in AI model development [2]. Group 2: Industry Impact and Applications - AI technology is penetrating various industries, becoming a key driver for cost reduction and efficiency improvement, with applications in sectors like steel, power, and telecommunications [4]. - The AI market in China is projected to grow significantly, with estimates suggesting that the number of AI companies will exceed 6,000 and the core industry scale will surpass 1.2 trillion yuan by 2025 [4]. - Companies like Zhiyuan and MiniMax have reported substantial revenue growth, with Zhiyuan's revenue compound annual growth rate reaching 130% from 2022 to 2024 [5][6]. Group 3: Governance and Challenges - The rise of AI agents presents challenges in governance, necessitating the development of appropriate regulatory frameworks to ensure sustainable growth in the AI industry [6][7]. - Concerns about security risks associated with AI agents have been raised, highlighting the need for improved governance to address issues related to network security and information privacy [7]. - Experts emphasize that the focus of governance should be on enhancing systems and regulations rather than restricting technology itself, ensuring that AI evolves in a beneficial and safe manner for society [7].