Core Viewpoint - DeepSeek, a Chinese artificial intelligence company, plans to officially launch its AI Agent by the end of 2025 to seize the next generation of human-computer interaction entry points [1] Group 1: Company Plans - DeepSeek aims to release the AI Agent, which is considered a key track following large models, featuring autonomous decision-making, task decomposition, and cross-application collaboration capabilities [1] Group 2: Market Context - The AI Agent is viewed as a significant development in the AI industry, indicating a shift towards more advanced human-computer interactions [1] Group 3: Current Status - As of the report, DeepSeek has not responded regarding the possibility of releasing the AI Agent within the current year [1]

Group 1 - DeepSeek, a Chinese AI company, plans to launch an AI Agent by the end of 2025 to capture the next generation of human-computer interaction [1] - The AI Agent is considered a key area following large models, featuring autonomous decision-making, task decomposition, and cross-application collaboration capabilities [1]

新华财经北京9月4日电（记者吴丛司）《关于深入实施"人工智能+"行动的意见》（以下简称《意 见》）日前正式发布，明确提出推动软件信息服务企业智能化转型，重构产品形态和服务模式，培育人 工智能应用服务商，发展"模型即服务""智能体即服务"等新模式，打造人工智能应用服务链。 宇信科技首席技术官张宁日前接受新华财经专访时表示，AI智能体（AI Agent）作为一种新兴的技术范 式，正在金融科技领域展现出成为下一代核心竞争力的潜力。银行业这一始终处于技术演进前沿的领 域，面临着客户需求日益多样化、运营成本持续上升，行业竞争不断加剧等挑战，更需要引入高效的技 术手段以提升服务能力和运营效率。 在信贷业务中，AI Agent可自动化处理大量无序扫描文件，完成自动分类、排版与信息提取。张宁介 绍，该系统能够识别文件类型、整理多页合同，提取如企业名称、收入等关键信息，并实现信息溯源， 明确数据来源，保障数据的准确性与可信度。 在数据业务方面，宇信科技通过自研的ChatBI平台，不仅将自然语言转化为分析语言，还能主动为管理 者推送数据，将业务问题转化为可分析的知识结构。该平台能够预判分析需求，主动推荐后续问题，帮 助业务人员降 ...

Core Viewpoint - The company, Out of the Question (02438), has experienced a significant increase in stock price, rising over 5% following the announcement of a substantial reduction in expected losses for the upcoming financial period [1] Financial Performance - For the six months ending June 30, 2025, the company anticipates a loss reduction of at least 99% compared to the previous year's loss of RMB 579 million [1] - The adjusted net loss (non-IFRS measure) is expected to decrease by at least 96% compared to the previous year's adjusted net loss of RMB 55.9 million, approaching breakeven [1] Strategic Initiatives - The board attributes the expected loss reduction primarily to the company's active transformation towards "AI organization," integrating AI agents deeply into core business processes and operational management systems [1] - The company is building an efficient, flexible, and self-evolving "AI-native workflow" while continuously optimizing resource allocation and actively managing expenses to enhance operational efficiency [1]

Core Viewpoint - The company, Outermost Inquiry (02438.HK), anticipates a significant reduction in losses for the six months ending June 30, 2025, with a potential decrease of at least 99% compared to the same period last year, primarily due to changes in the book value of redeemable preferred shares and common stock [1] Financial Performance - The expected adjusted net loss (non-IFRS measure) is projected to decrease by at least 96% compared to the adjusted net loss of RMB 55.9 million from the same period last year, approaching breakeven [1] Strategic Initiatives - The board attributes the change in losses to the company's active push towards "organizational AI transformation," integrating AI agents deeply into core business processes and operational management systems [1] - The company has established an efficient, flexible, and self-evolving "AI-native workflow" as part of its transformation strategy [1] - Continuous optimization of resource allocation and proactive cost management measures have effectively enhanced operational efficiency [1]

Group 1 - The AI sector is experiencing several trends this year, including the transition of large models from research to industry applications, and the shift from basic algorithmic computing power to practical applications [3] - Key application areas expected to see significant growth include AI Coding, AI Agents, and AI Hardware, which can create real commercial value and profitability [3] - The pharmaceutical industry is increasingly recognizing AI as a crucial asset for drug development, with algorithms and AI-generated experimental data becoming more important than traditional assets like patient data [3] Group 2 - The healthcare sector is highlighted as a major area of investment, with significant breakthroughs anticipated in cancer treatment over the next 3 to 5 years [3] - Current valuations of AI startups have returned to a more rational state compared to previous years, with a narrowing focus on top companies that can secure larger funding amounts [3] - The investment landscape has shifted from a broader pool of companies to a concentrated focus on fewer firms, with only about 10 companies now attracting significant investment compared to around 50 previously [3]

Core Insights - The article discusses the rising prominence of AI agents, predicting that 2025 will be the "Year of AI Agents" with significant market growth expected [1][3] - The AI agent market is projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, reflecting a compound annual growth rate (CAGR) of 44.8% [1] - The launch of Manus, a general-purpose AI agent, has sparked interest and investment in the AI agent sector [5] Market Dynamics - AI agents are defined as intelligent entities capable of autonomous decision-making, environmental perception, task execution, and learning [3] - The core technological breakthroughs in AI agents include cross-domain task decomposition, multi-modal data fusion, and cloud-based heterogeneous computing frameworks [3][4] - Major tech companies are actively developing AI agents, with OpenAI planning to offer premium AI agent services tailored for high-end enterprise needs [6] Challenges in Deployment - Companies face challenges in integrating AI agents with existing systems, ensuring data security, and gaining user acceptance [6] - The deployment of AI agents requires a strategic overhaul of management models and business processes to leverage advanced AI technologies effectively [6] Technological Evolution - Large models play a crucial role in supporting AI agents, providing capabilities in language understanding, logical reasoning, and knowledge storage [4] - The evolution of AI is moving from tools to digital assistants, with AI agents becoming more capable of real-time decision-making and interaction with the physical world [4] Value Creation - AI agents are penetrating various industries, driven by advancements in AI technology from discriminative to generative and reasoning AI [8] - Companies are encouraged to focus on high-value scenarios and solid data foundations to accelerate the deployment of AI agents [8] - The integration of large models, AI agents, and tool ecosystems is essential for creating complex interactive networks that enhance business operations [8][9]