"2026 AI + High-End Manufacturing Industry Application Map" Released at Global Data Business Conference
The "2026 AI + High-End Manufacturing Industry Application Map" was officially released on October 31 at a sub-forum of the 2026 Global Data Business Conference. It was jointly compiled by eight institutions, including the Shanghai Modern Service Industry Federation, the Shanghai Artificial Intelligence Research Institute, and Yicai. The map takes Shanghai as its core observation subject, visited 30 representative enterprises, covers tracks such as industrial robots, energy equipment, and high-end machine tools, and features five major sections including a panoramic map, ten core insights, and six development recommendations.
Body · AI translation
On the morning of October 31, at the venue of one of the core forums of the 2026 Global Data Business Conference, the sub-forum "Riding the Momentum of Data · Renewing Scenarios—Innovation and Practice of Data Elements × Modern Service Industry," the "2026 AI + High-End Manufacturing Industry Application Map" was officially released across all channels. The map was jointly compiled by eight institutions, including the Shanghai Federation of Modern Service Industries, Shanghai Artificial Intelligence Research Institute, Yicai, Donghao Lansheng Exhibition Group, Shanghai Yangtze River Delta Advanced Manufacturing Development Research Institute, Shanghai Association of Listed Companies, Huizheng Finance, and Kingdee Network Technology Co., Ltd. It aims to provide a panoramic perspective and practical guidance for the intelligent transformation of industry through systematic research on the achievements of deep integration and application of AI and high-end manufacturing in Shanghai.
Against the strategic backdrop of the nation advancing new industrialization and cultivating new quality productive forces, artificial intelligence is accelerating its penetration into the entire high-end manufacturing chain and reshaping industrial operating models. As a highland of manufacturing in the Yangtze River Delta, Shanghai has deep accumulated strengths in fields such as high-end equipment, integrated circuits, and automobile manufacturing, and is an important testing ground for the industrial application of artificial intelligence, while also facing practical challenges such as fragmented scenarios, difficult data governance, and supply-demand mismatches.
To systematically review the current state of AI industrial implementation and distill benchmark practices, the eight co-initiators jointly launched the compilation of the map. The project took Shanghai as its core observation subject, and over several months conducted in-depth visits to 30 representative enterprises in the industry, covering key tracks such as industrial robots, energy equipment, high-end machine tools, industrial software, additive manufacturing, and consumer intelligent manufacturing. Supported by first-hand data from frontline production scenarios and drawing on the wisdom of industry, academia, research, and finance, it ultimately produced a research outcome that combines industrial depth with practical value. At the release ceremony, representatives from the joint compiling parties jointly unveiled the map, witnessing the debut of the outcome together with representatives from industry, academia, and research present at the event.
A panoramic presentation of five core sections
With "panoramic presentation—deep insight—path guidance—case demonstration" as its core logic, the map features five core sections: a panoramic map, ten core insights, six development recommendations, expert viewpoints, and key track cases. Among them, the panoramic map builds a full-industry-chain perspective covering the foundational layer, technology layer, solution layer, and application layer, quantitatively assessing the commercialization progress, technological maturity, and market demand of different scenarios, and clearly presenting the industrial landscape and echelon characteristics; the ten core insights start from four major dimensions—macro landscape, industrial evolution, technological patterns, and the nature of bottlenecks—analyzing the two major global development routes of "cognition first" and "diffusion first," while also revealing deep-seated bottlenecks such as supply-demand mismatches, the lack of a data assetization system, and the gap in interdisciplinary talent; the six development recommendations focus on dimensions such as building an industrial data element system, creating a supply-demand collaborative ecosystem, gradient promotion of benchmark scenarios, cultivating interdisciplinary talent, improving standards and security systems, and building an international highland, providing actionable plans for government policymaking and enterprise transformation; expert viewpoints gather authoritative frontier judgments from the industry; and key track cases summarize the diverse paths of full-chain upgrading by leading enterprises and single-point breakthroughs by small and medium-sized enterprises, providing transformation references that can be benchmarked and replicated for enterprises of different sizes.
Continuing to support the transformation and upgrading of high-end manufacturing
Yicai has long been rooted in the fields of finance and technological innovation. As an observer and enabler of industrial development, it participated throughout the research work for the map. Relying on its accumulation in the industrial economy and its all-media communication advantages, it connected resources from industry, academia, research, and finance, injecting a more professional industrial perspective into the map and endowing it with broader public communication value. Looking ahead, Yicai will continue to follow the implementation practices of AI technology in Shanghai's high-end manufacturing industry, promoting the replication and spread of benchmark cases through in-depth reporting, forum exchanges, and resource matching, and contributing the power of media and platforms to the upgrading of manufacturing empowered by AI.
As a systematic research outcome in the field of AI + high-end manufacturing in Shanghai, the map is both a comprehensive review and deep distillation of industrial intelligentization practices and a path guide for future development. At the release ceremony, several co-organizers jointly stated that they will continue to deepen cooperation, promote the application of the map's outcomes on a larger scale, provide a cross-industry, comparable, and actionable "Shanghai Solution" for the implementation of policies on the integration of the artificial intelligence industry, and help Shanghai's high-end manufacturing achieve intelligent upgrading and high-quality development.