China News Service, Beijing, October 24 (Reporter Liu Liang) Driven by artificial intelligence (AI), enterprise management is undergoing a profound reconstruction. How to embrace the changes in corporate management in the AI era and achieve management breakthroughs and business innovation has become a core proposition for high-quality development of enterprises. At the 2026 Global Creators Conference held in Beijing recently, participants discussed this topic.
Discussions in the AI industry always focus on parameter scale and computing power reserves, but what exactly can AI change? Where should it move first? How should the organizational structure be adjusted accordingly? The industry believes that these issues are far more complex than technical parameters, and AI transformation is not just about technology procurement.
"Enterprise AI transformation is first a cognitive transformation, secondly a management change, and finally a technological revolution." Xu Shaochun, Chairman and CEO of Kingdee Group, pointed out that AI is not an upgrade of tools, but a systematic reconstruction of organizational form, value logic, and human roles.
Based on this judgment, Xu Shaochun emphasized the importance of cognitive transformation in enterprise AI transformation, and pointed out that the real scarcity is not "people who can use AI", but "people who can control the cognitive flywheel"; the "top leader" cannot only be a supporter of AI transformation, but also the "chief practical officer" of AI transformation.
Xu Shaochun mentioned that technology can be purchased, computing power can be rented, and models can be called. Only cognition must be traveled by oneself. When business leaders truly complete a cognitive transformation, AI transformation will no longer be a technology project, but the beginning of an organizational evolution.
Research shows that in the past year, the implementation of AI in enterprises has mostly focused on improving personal efficiency, but the problems of different calibers between departments and lengthy processes still exist.
Liu Zhongwen, Vice President of Kingdee China and General Manager of the Product R&D Center, believes that an AI-native organization is an organization where people and AI work together to promote operations and complete work. AI is executed within authorization, and people make key judgments and are responsible for the results; the enterprise's data, rules and verified experience form a shared context, promoting the enterprise to achieve self-evolution of organizational capabilities through continuous learning and business feedback.
Jiang Daxin, CEO of Step Star, pointed out that the advancement of AI technology has brought changes to organizational management. In particular, AI has penetrated deeply into corporate organizations, improving corporate efficiency in various financial, meeting, and operational scenarios, allowing organizations to have more energy to focus on innovation and decision-making.
Chen Kai, Secretary of the Party Committee and Chairman of CRRC Information Technology Co., Ltd., said that the company's industrial chain is huge. An EMU has about tens of thousands of materials, covering materials, electronic components, information systems and other categories. The suppliers are distributed in thousands of companies in more than 20 provinces and cities across the country. How to transform such a large stall into an AI-native enterprise is indeed a big project.
Under this industrial structure, Chen Kai said that the company is also actively exploring ways for AI to empower enterprise development. For example, CRRC has also built its own AI capability pedigree, including an AI unified service platform, a computing power system, and a computing network system covering enterprises across the country. In addition, on the management side, CRRC has faced the requirements of organizational management reform and complied with the technological evolution trend of the Agent (intelligent) era, creating a digital employee system with autonomous Agent as the core, allowing AI to be integrated into tasks as a job, and integrated into the work and office environment as a business role.
Tang Tao, CIO of Sungrow Power Group Zhiwei Technology, said that in the face of compliance issues, cross-border data issues, information security issues, employment compliance issues, etc. in a large number of overseas regions, the company needs a solution that can quickly respond to these issues. It is difficult to complete this work by relying solely on the existing organizational system and personnel. AI needs to be used to improve productivity and make service capabilities more consistent with business scale. In recent years, the company has used large models to accumulate operation and maintenance expertise into a knowledge base available to front-line employees, helping employees find solutions to problems faster.
However, Tang Tao also pointed out that AI will occasionally make mistakes and cause "hallucination" problems. Companies should pay attention to auditing when using AI, and can set up auditing mechanisms based on risk levels. At the same time, AI privatized training costs are high, and companies need to find a balance between safety, reliability and cost.
