en.Wedoany.com Reported - The 2026 Global Digital Economy Conference sent a clear signal: Artificial Intelligence is evolving from a single-point efficiency tool in the industrial sector into an intelligent agent driving systemic transformation across thousands of industries, with the industrial internet entering a new phase of "intelligent transformation and restructuring." Multiple industry insiders reached a consensus at the conference that AI is reshaping the software industry's development logic across four dimensions: technology integration, business models, market space, and ecological layout.
At the 2026 Industrial Internet Innovation and Development Forum, hosted by the Beijing Software and Information Services Association, Yuan Zhenggang, Chairman of Glodon Company Limited, shared AI practices in the engineering software field. Taking a specific project as an example, supported by AI highway quantity takeoff products, the detailed review of 46 bridges took only 10 days. The overall efficiency of quantity takeoff for subgrade, bridges, and culverts increased by approximately 4.5 times, generating comprehensive value exceeding one million yuan. The zero-deviation transfer based on the design model formed the quantity takeoff model, significantly improving budgeting efficiency. In pilot projects, the full forward drawing rate reached 90%, collaboration efficiency improved by 20%, and the integration of design and costing achieved a 60% efficiency gain. Yuan Zhenggang stated that engineering software is entering a new AI phase, with core capabilities such as human-computer interaction, data reuse, and full-chain collaboration being comprehensively reshaped. The deep integration of AI and engineering software will form a closed loop based on high-value scenarios, high-quality data, and high-reliability models, helping enterprises achieve stepwise value upgrades from single-point efficiency, process efficiency, to business restructuring.
Liu Haojie, Vice President of Beijing Mianbi Intelligent Technology Co., Ltd., pointed out that AI is fundamentally reshaping the development path of the digital economy, shifting digital capabilities from cloud-exclusive to terminal-inclusive, extending the growth space of the digital economy to massive terminals while fully unleashing the value of data elements.
Du Dongdong, Deputy Director of the Data Management and Application Research Institute at the China Academy of Industrial Internet, believes that AI is upgrading the industrial internet from a connection network to an intelligent network, bringing comprehensive restructuring of product forms, R&D processes, and business models. However, it also faces challenges such as opaque Token costs, inconsistent standards, data security compliance, and insufficient enterprise organizational capabilities. The industry should actively embrace three major trends: Token as a factor of production, human-machine collaborative production, and value-oriented evaluation, while focusing on cultivating composite talent and addressing shortcomings in data infrastructure, cost control, compliance systems, and cross-departmental collaboration.
Zhao Xiangwei, Director of the Informatization and Software Services Division at the Beijing Municipal Bureau of Economy and Information Technology, stated that the government will continue to serve as a "service butler" for enterprises, accelerating the implementation of pro-business policies, building industrial platforms for supply-demand matching, technical exchanges, and open-source collaboration, and helping enterprises seize the strategic opportunities brought by AI transformation.
From corporate leaders to industry experts, a consensus has been reached: AI is moving from single-point industrial efficiency gains to comprehensive intelligence enhancement through intelligent agents. The software industry and industrial internet are undergoing a deep restructuring—from tools to services, from products to ecosystems, and from selling tools to charging based on outcomes.
