智能体不再 “偏科”，OpenAI、讯飞、千问等各显神通

Market Overview - The Chinese intelligent agent market is projected to reach 7.84 billion yuan by 2025, with an expected growth rate exceeding 70% in 2026, driven by demand from manufacturing, energy, finance, and government sectors, which account for over 70% of the market [1] - The "Artificial Intelligence + Manufacturing" initiative aims to cultivate 1,000 high-level industrial intelligent agents, providing strong momentum for industry development [1] Industry Dynamics - Leading companies are accelerating their strategies in response to market and policy drivers, with OpenAI launching the Operator product in 2025 to simulate human computer operations for tasks like ordering food and booking tickets [2] - Alibaba's upgraded Qianwen can perform full-process collaboration for hotel and product inquiries, while Zhiyuan AI has introduced the Auto framework for intelligent agent development, facilitating the transition from mobile devices to intelligent AI terminals [2] - Challenges such as reliance on single-modal interactions, high customization costs, and incomplete execution chains are hindering industry growth, prompting the search for more efficient solutions [2] Technological Advancements - The core capabilities of intelligent agents lie in environmental perception and demand understanding, with multi-modal fusion becoming a common choice among leading companies [4] - Traditional agents often support only single-modal interactions, leading to perception errors in complex environments. Qianwen employs a multi-modal architecture to synchronize processing and understanding of various inputs [5] - Zhiyuan AI's CogAgent enables full GUI space interaction, while OpenAI's Operator allows AI to interact with graphical user interfaces, simulating human operations [5] Development Accessibility - The scaling of intelligent agents requires lowering development barriers, which is a key focus for leading companies [12] - The Starry Intelligent Agent platform offers a native MaaS architecture, allowing quick connections to over 50 high-quality open-source models, enabling developers to build agents without extensive programming knowledge [12] - Various companies are exploring diverse approaches to reduce development barriers, such as Alibaba's simplified application integration and Zhiyuan AI's focus on rapid empowerment of terminal devices [13] Application and Ecosystem - The value of intelligent agents must be demonstrated through specific scenarios, with leading companies focusing on vertical solutions [15] - The Starry Intelligent Agent platform has diversified its application layout, targeting overseas markets in the Middle East and Southeast Asia, covering public services and infrastructure bidding [15] - Other companies like Alibaba and SenseTime are also focusing on specific sectors, such as consumer services and healthcare, to address core industry needs and enhance operational efficiency [18] Collaborative Innovation - The sustainable development of the intelligent agent industry requires an open ecosystem, a consensus recognized by leading companies [19] - Starry Intelligent Agent leverages resources from iFLYTEK's open platform, which has over 10.26 million developers and covers 4.28 billion terminal devices, creating a comprehensive ecosystem [19] - Companies are fostering a virtuous cycle of "technological breakthroughs - scenario applications - ecosystem feedback" to drive the large-scale development of the intelligent agent industry [19] Future Outlook - The intelligent agent industry is transitioning from technological exploration to large-scale implementation, driven by breakthroughs in multi-modal collaboration, reduced development barriers, and improved ecosystem frameworks [21] - Continuous technological iteration and ecosystem enhancement will further integrate intelligent agents into various industries, becoming a core force for productivity improvement and industrial upgrading [21] - Future development will emphasize scenario adaptability, ease of development, and ecosystem openness, with collaborative innovation between companies and developers as a key driver of industry progress [21]