2025 Report on How to Reshape Enterprise Value from Deepseek to ManusAl

 As the wave of digitalization sweeps the world, artificial intelligence ( AI ) is reshaping various industries with an unstoppable momentum, especially in the field of corporate management, where its influence is becoming increasingly prominent. The rapid development of AI technology has not only changed the operating model of enterprises, but also brought unprecedented opportunities and challenges in product innovation, business model transformation, cost reduction and efficiency improvement. From DeepSeek to Manus , how these advanced AI technologies can take root in enterprises and how they will reshape corporate value are topics that we urgently need to explore in depth.

1. Deep integration of AI in enterprise management

At present, the combination of AI and enterprise management has entered a stage of deep integration, and it is reshaping the operation and management model of enterprises. At the 2025 " Two Sessions " , the development of new productivity was emphasized. Private enterprises are becoming an important engine for promoting scientific and technological innovation and high-quality economic development through deep integration with artificial intelligence technology. AI is no longer just a tool to add icing on the cake, but a key component of the core competitiveness of enterprises.

AI enables high-quality development of enterprises, and its value is reflected in many aspects. It can lead to " new quality productivity " , open up the second growth curve of enterprises, and transform enterprises from " cost centers " to " value engines " . Specifically, AI can help enterprises develop value-added products, implement AI systems to optimize processes, reduce labor costs, reconstruct business processes, and mine data assets. These applications not only improve the efficiency of enterprises, but also create new growth points for enterprises.

Take DeepSeek as an example. Its emergence enables enterprises to use AI at low cost and high quality , achieving equal rights for AI empowerment. This is the fundamental reason why DeepSeek has set off this wave. For those companies whose products may be disrupted, this is not only an opportunity to overtake others, but also the starting point of " closing, stopping and transferring " . Thinking about the impact of DeepSeek on enterprises, the first is whether the product will be disrupted, the second is whether the business model will be changed, and the last is cost reduction and efficiency improvement.

2. DeepSeek and Manus : Gemini of AI Technology

DeepSeek and Manus are two outstanding representatives of AI technology in enterprise applications. DeepSeek has broken through technical barriers with the combined effect of technological innovation, cost advantages, open source culture and international influence. It allows enterprises to enjoy high-quality AI services at a very low cost. Its training cost is less than 5% of GPT-4o , and its reasoning cost is 3% of OpenAI-o1 . It is comparable to OpenAI-o1 in mathematics, code and natural language reasoning capabilities .

Manus represents the starting point of general intelligent agents, which allows enterprises to dramatically accelerate cost reduction and efficiency improvement. Manus has full-link autonomous execution capabilities, can independently complete complex tasks and deliver usable results. Its multi-agent collaborative architecture simulates human workflows, and division of labor and collaboration for efficient execution. Asynchronous operation in the cloud and autonomous learning and memory enable it to be issued offline. In many industries such as financial analysis, human resources, and retail operations, Manus has achieved efficiency improvements. For example, the analysis time of quarterly financial reports of investment banks has been shortened to 1/36 of the original time . In terms of cost structure, the annual cost of one Manus is only equivalent to 0.2 senior analysts , but the output efficiency is equivalent to 5 full-time employees.

3. AI reshapes the industry competition paradigm

AI not only plays a huge role within enterprises, but also reshapes the industry competition paradigm. It promotes intelligent upgrades and gives birth to new markets and business models. The focus of industry competition has shifted to data, computing power and model ecology. Enterprises need to build a closed loop of AI ecology and improve their intelligence level to stand out in the competition.

In knowledge-intensive industries, such as financial analysis, software development, and legal consulting, AI improves the efficiency and accuracy of investment decisions through big data analysis and algorithm models; assists programming to greatly improve development efficiency; and automates tasks such as contract review and legal retrieval. In labor-intensive industries, such as traditional manufacturing, construction, and agriculture, AI -driven robots automate production lines, improve efficiency, and reduce labor costs. In emotion-intensive industries, such as entertainment, social companionship services, and pet care, AI generates content to enrich creative forms, provide emotional companionship, and improve service professionalism.

4. How can enterprises embrace AI?

To embrace AI, enterprises need to clarify their strategic positioning, identify application scenarios based on business needs, promote business process optimization and innovation, build data infrastructure, and increase investment in technology and AI talent. The level of enterprise embrace of AI has gradually deepened from tool-based application to ecological reconstruction.

In the united front stage, enterprises need to win the support of CEO/CTO , make AI a " top priority project " , carry out AI science training for all employees, and include "AIization rate " in department assessment. In the pilot promotion stage, select low-risk, high-value, high-frequency, rigidly needed, and digitally sound scenarios, use ready-made tools to achieve results, involve employees in design, minimize verification, and scale up. In the full value chain integration stage, AI empowers a wide range of fields, including customer relationship management, human resources management, marketing, financial management, supply chain management, and production process optimization.

5. AI Technology Selection and Implementation Path

The AI ​​of enterprises is similar to the digitalization of enterprises. The earlier you start, the higher the cost and risk, but the greater the benefits of success. When choosing AI technology, you need to consider factors such as the problem to be solved, data security, model size, and model type. On the implementation path, you need to prepare data, build a unified IT architecture, application interface, data format, and data lake, and choose the right AI model and tools.

The application of basic AI capabilities can start with office collaboration and content creation, and with the help of AI functions of platforms such as DingTalk, WeChat, and Lark, you can quickly master the construction and use of AI agents. Through steps such as clarifying goals, selecting toolkits, setting functions and restrictions, testing and tuning, and on-the-job monitoring, enterprises can build their own AI agents.

VI. Future Outlook and Conclusion

The AI ​​era has arrived. Enterprises do not need to be overly anxious. They only need to keep an eye on large companies, follow professional manufacturers, and pay attention to the application of peers to keep up with this era. In the future, AI technology will continue to develop, and new technologies such as multimodality, generative AI , embodied intelligence, and open source models will bring more possibilities to enterprises.

The emergence of Manus marks a new stage in the development of general intelligent agents. In the future, there will be a large number of general intelligent agent products that can be widely used in various scenarios of enterprises. Enterprises should actively embrace these changes and explore the application of AI in their own businesses to enhance their competitiveness and achieve sustainable development.

In this era where AI empowers enterprises, we are both witnesses and participants. Let us explore the infinite possibilities of AI together and open a new chapter in enterprise intelligence.