This year’s government work report proposed to continue promoting the “Artificial Intelligence + ” initiative, better integrating digital technology with manufacturing advantages and market advantages to support large-scale and widespread applications. This is the second time that “Artificial Intelligence + ” has been included in the government work report. Unlike last year, which focused on technological research and industrial cluster development, this year’s emphasis is more on the practical application of technology, directing the focus of artificial intelligence applications towards the manufacturing industry.
In the era of “AI (Artificial Intelligence) +”, the global industrial chain is being restructured, forcing traditional manufacturing to seek transformative breakthroughs. Industrial AI Agents, capable of perceiving the environment, autonomously understanding, making decisions, and executing actions, reveal a new direction for future industrial manufacturing and are considered key to changing the “game rules”. Research institutions believe that the field of vertical AI agents will welcome a blue ocean market, with significant market growth expected in the next three years.
Flexible manufacturing is becoming simpler
With the rise of Industry 4.0, flexible manufacturing is becoming an important trend in the development of the manufacturing industry. Flexible production not only requires production lines to be able to flexibly adjust product types but also needs to quickly adapt to external changes during the production process. Industrial AI Agents can optimize production plans and scheduling in real-time through precise data analysis and intelligent decision-making, enabling production lines to efficiently respond to market changes, making flexible manufacturing “simpler”.
Imagine that when a new production task is received, engineers no longer need to perform complex programming and design; they can simply issue instructions in natural language, and the entire production line can quickly and automatically switch modes, achieving seamless transitions between different processes. By analyzing historical production data, it can even identify that a certain production link has high energy consumption and automatically adjust the parameters of that link to reduce energy consumption. Such an industrial AI Agent may completely break through the traditional production line’s challenges of “difficult mode switching, slow response, and high costs”.
For example, the self-developed industrial AI Agent by Jing Shi Measurement and Control—PRIME can achieve direct control of industrial equipment through natural language interaction. With continuous technological iteration, PRIME can even integrate different industrial platforms and dynamically adjust production parameters based on real-time data. It is reported that a leading home appliance brand has optimized its production line through PRIME, achieving a 30% reduction in energy consumption while improving testing efficiency.
“Through the PRIME AI Agent, natural language can be efficiently transformed into precise control and execution of engineering objects such as industrial controllers, testing and measuring instruments, and actuators, enabling more people to easily master the development capabilities of engineering applications, thereby enhancing the efficiency of innovation in the engineering industry,” said Wang Lei, Chairman of Jing Shi Measurement and Control. “The advancement of AI technology has reduced the difficulty and learning costs of using advanced tools, allowing more people to apply engineering technology to solve problems in the innovation process.”
Heilong Technology empowers industrial production through AI Agents
Heilong Technology is also exploring the practical application of AI Agents in industrial scenarios: replacing manual experience with AI Agents to automatically analyze CAD drawings, generate process paths, replace manual scheduling and dispatching, reducing process preparation time by 60%; using distributed Agents to take over the coordination work of order-followers, achieving a threefold increase in production scheduling response speed in a certain food company in China; building a central system supported by natural language interaction with ChatBI, where inputting “Which production lines have gaps next Wednesday” triggers the generation of multi-dimensional reports, customizing different report contents based on role requirements; launching an AI-based development system that realizes cloud-based production management software + customized AI processes, gradually replacing traditional production management software, solving the contradiction between general and personalized needs, and shortening the development time from the original 1-2 months to 1-2 days.
“New technologies bring more new opportunities. With the support of new technologies, we can definitely solve more scene problems,” said Zhou Yuxiang, founder and CEO of Heilong Technology. The practical application of industrial AI Agents will provide feasible paths for industrial enterprises eager to accelerate their transformation towards flexible manufacturing.
The human-machine collaboration model will be completely overturned
Unlike traditional artificial intelligence, the core breakthrough of AI Agents is their ability to independently think and use tools to gradually achieve given goals. Specifically in industrial scenarios, intelligent systems with autonomous perception, decision-making, execution, and feedback capabilities will completely overturn the human-machine interaction model, opening a new paradigm for industrial production.
For decades, industrial solution providers have been trying to use data and AI to optimize production, minimize disruption risks, simplify production, and make smarter daily decisions. However, so far, the impact on factory floor operations has been less than satisfactory. The way users interact with digitally enhanced industrial processes is not intuitive, making it challenging to improve key workflows and achieve productivity gains.
As a carrier of generative AI technology, industrial AI Agents play a key role in improving operational efficiency, maintaining production process stability, and optimizing production outcomes through intelligent data analysis and decision-making functions. As early as 2024, Tesla’s Optimus robot completed a disruptive upgrade: when engineers issued a vague instruction to “organize the laboratory”, its built-in AI Agent autonomously identified 23 types of experimental equipment, planned a transportation path that balanced safety and efficiency, and even discovered potential hazards in the placement of centrifuges during operation and proactively issued warnings. This marks a leap in AI Agents from “passive execution” to “active cognition” capabilities.
Tesla’s robot factory
Now, as the capabilities of AI Agents continue to evolve, their application boundaries in industrial scenarios are also expanding. At Thyssenkrupp Automation Engineering, the innovative application of Siemens’ industrial AI Agents has improved code quality by 30% and accelerated development speed by 45%. At Siemens’ Bad Neustadt factory, the time to transform scattered data into decision insights has been reduced to one-sixth of the original.
“AI Agents will reconstruct the human-machine interaction model,” said Zou Debao, Executive Deputy General Manager of the AI and Big Data Research Center at CCID Consulting. “At this stage, AI Agents have been initially applied in task solving, service creation, and intelligent customer service scenarios. In the future, with the development of technologies such as interface alignment, complex task planning, and working memory, the application scenarios of AI Agents will continue to expand, and the way humans interact with machines will shift from traditional graphical interfaces to more natural human-machine interactions.”
Multi-Agent collaboration is becoming a new trend
Although the wave of digital transformation has swept through the industrial sector for over a decade, most factory systems remain at the stage of “automation rather than intelligence”. While sensors, PLCs, MES, cloud platforms, and other components are all available, the systems are still fragmented, making it difficult to understand the collected data, and while algorithms can run, they cannot adapt to changes, making it challenging to truly achieve a closed-loop intelligence of “perception-cognition-decision”.
The core value of industrial AI Agents lies not only in global intelligent optimization but also in awakening the “thinking genes” of every process and every piece of equipment, allowing micro-production units to evolve into intelligent decision-making entities. Faced with the high complexity and uncertainty of multi-process collaboration in industrial manufacturing, multi-Agent collaboration will become a new trend in the development of industrial AI.
It is reported that Hengyuan Technology is exploring the construction of a Multi-Agent intelligent collaboration network composed of Agent clusters with autonomous decision-making capabilities, where each Agent focuses on specific production links: production scheduling Agents dynamically optimize work order allocation, logistics Agents intelligently plan delivery paths, and quality Agents monitor key processes in real-time.
When urgent orders are inserted or equipment anomalies occur, each Agent attempts to complete capacity redistribution and process parameter calibration within milliseconds through distributed negotiation algorithms. This decentralized intelligent collaboration model is breaking the limitations of traditional MES systems’ centralized control, exploring the formation of a “self-organizing, self-optimizing” production ecology, and providing systematic solutions for dynamic decision-making in complex scenarios.
Siemens develops AI Agents for industrial automation
Siemens recently launched a new type of industrial AI Agent to enhance its industrial co-pilot system (Siemens Industrial Copilot), which is expected to help industrial enterprises increase production efficiency by up to 50%. Unlike traditional AI assistants that can only passively respond to commands, Siemens’ industrial AI Agent has autonomous neural central functions, and its core “intelligent conductor” system can flexibly schedule various specialized AI Agents to work together like an experienced craftsman.
To further promote application and innovation, Siemens plans to create an industrial AI Agent marketplace on its Xcelerator Marketplace. In this marketplace, customers can not only access Siemens’ own AI Agents but also use AI Agents developed by third parties. In the future, this marketplace may develop into an “APP Store” for the industrial sector, gathering the world’s top manufacturing intelligence solutions.
Rainer Brehm, CEO of Siemens Digital Industries Group’s Factory Automation, stated: “In factory scenarios, our industrial AI agents can connect various functional collaborative assistants to automate the operation of the entire value chain workflow. This innovative model builds a standardized application system, ensuring that regardless of the practitioner’s technical proficiency or experience, they can easily apply industrial AI technology.” He also expressed that Siemens looks forward to the future where industrial AI agents can seamlessly collaborate with workers, autonomously taking on routine workflows, thereby freeing up human resources to focus on innovative research and development, creative design, and solving complex problems.
The above is sourced from: China Electronics News, author: Song Jing. Reproduced for non-commercial educational and research purposes, copyright belongs to the original author. If there is any infringement, please contact us, and we will delete it promptly.
Previous reviews:The most comprehensive knowledge map of artificial intelligenceArtificial Intelligence Development Report (2024)SCBX丨2025 Global Artificial Intelligence Outlook Report: Leading the Future of AIA Brief History of Artificial Intelligence: From Concept to ApplicationA Global Brief History of Artificial Intelligence2024 New Unicorn Report in the United StatesOne article explains AI hallucinations clearlyLatest “A Brief History of Large Models” compilation! From Transformer (2017) to DeepSeek-R1 (2025)Microsoft丨Guide to Getting Started with Large Language Models (LLM)Research Report on the Application of Artificial Intelligence + Manufacturing (2024)White Paper on Large Models in Healthcare (Version 1.0)Blue Book on Intelligent Medical Equipment Industry in 2024 by China Academy of Information and Communications TechnologyAI Agent + Medical Industry Research ReportNew Paradigm of Digital Marketing in Pharmaceuticals Based on Knowledge-Enhanced DeepSeek Large Model31 AI Medical Scenarios, covering patient care, medical imaging and diagnosis, drug development, super automation…AI Empowering High-Quality Development in Agriculture—Ten Case Studies of AI Applications in AgricultureThe Ten Most Influential Chinese Women in AIOutstanding Cases of AI Applications in Central EnterprisesAnalysis Report on the Technology Gap between China and the United States 2025Collection of Typical Demonstration Application Cases of Large Models in 2024Research Report on the Development of Embodied Intelligence Industry in 2025Development Report on Generative Artificial Intelligence ApplicationsResearch Report on the AI Agent Industry in ChinaIn-Depth Study: Bird & Bird “EU Artificial Intelligence Act: Guidelines”Peking University DeepSeek Principles and Practical ApplicationsPeking University DeepSeek Prompt Engineering and Application ScenariosPeking University DeepSeek Private Deployment and All-in-One Machine ReportPeking University丨Generative Artificial Intelligence and Higher Education Reform: Value, Impact, and Future DevelopmentPeking University丨DeepSeek Principles and Educational Scenario Application ReportPeking University丨AI Agents and Agentic AI Principles and ApplicationsMust-See! Peking University’s “In-Depth Evaluation and Selection Guide for AI Tools”, a comprehensive analysis of 39 tools to help you choose accuratelyDa Ren Think Tank丨DeepSeek Enterprise Application Lecture Essentials Full Version (258 pages)Da Ren Think Tank丨DeepSeek+: Innovative Breakthroughs in Government Affairs Lecture Essentials Full Version (369 pages)DAMA丨”2025 Smart Change: AI Empowering Government and Central State-Owned Enterprises’ Intelligent Transformation White Paper”—An authoritative guide from strategy to implementationDAMA丨DeepSeek Applications in Banking Business ScenariosChina Academy of Information and Communications Technology丨”Research Report on Intelligent Agents in Government and Enterprise”—How AI Agents Lead Digital Transformation in Government and EnterprisesChina Academy of Information and Communications Technology丨Opportunities and Challenges in the Development of China’s Intelligent Internet of ThingsChina Academy of Information and Communications Technology丨”Robots + Artificial Intelligence” Industrial Application Research ReportResearch Report on the Practice of Large Model Platforms in 2025AI + Operations: Building a New Paradigm of Intelligent OperationsNine Academicians and Twelve Experts Jointly Wrote: Progress, Challenges, and Future of Artificial IntelligenceZhejiang University DeepSeek Series Public Course Season One Compilation (Video + Report + Case)Zhejiang University DeepSeek Series Public Course Season Two Compilation (Video + Report)National Industrial Information Security Development Research Center丨Large Model 2.0 Industry Development ReportXiamen University丨Large Model Popular Science Report Practical Edition: User Manual for Large Model Tools like DeepSeekXiamen University丨DeepSeek Large Model Empowering Higher Education Teaching and ResearchXiamen University Team 2025 DeepSeek Large Model and Its Enterprise Application PracticeXiamen University Team 2025 DeepSeek Large Model Empowering Government Digital TransformationXiamen University丨Large Model Popular Science Report Practical Edition: User Manual for Large Model Tools like DeepSeekStanford 2025 AI Index Report: Understanding the Current State of AI Development through 10 ChartsChina Science and Technology Innovation Investment Research Institute丨2025 In-Depth Analysis Report on the Development of Robotics in China and the United States (Draft)
Forward-looking Industry Research Institute丨2025 Humanoid Robot Industry Development Blue Book
Mitou Consulting丨2025 Insights into Humanoid Robot Application Scenarios: Industrial Scene Edition
Roland Berger丨The Rise of Humanoid Robots: From Science Fiction to Reality, How to Engage in the Coming Revolution?
New Energy Intelligent Vehicles (AIEV) Industry Empowering Humanoid Robot Development—2025 Insights into the Humanoid Robot Supply Chain
China Information Association丨Low Altitude Economy Development Report (2024-2025)Renmin University of China丨2025 China Low Altitude Economy City Development Index (LCDI) ReportFuture Mobile Communication Forum丨Low Altitude Economy Scenario Applications and Communication NeedsCCID Research Institute丨Research Report on Low Altitude Economy Application Scenarios in China (2025): From Point Pilot to Full Domain IntegrationBlue凌 Research Institute丨Enterprise Brain: AI Empowering Low Altitude Economy White PaperChina Low Altitude Economy Development Index Report (2025)Local Low Altitude Economy Platform Construction Guide White PaperIntelligent Transportation Industry Alliance丨Smart Travel and Vehicle-Road-Cloud Integration Policy Research ReportChina Internet Association丨Research Report on AI Empowering Education DevelopmentCCID丨Research on the Development Trends of General Artificial Intelligence Industry during the 14th Five-Year Plan PeriodSun Yat-sen University丨From Technological Breakthroughs to Scene Implementation: Development Map of Large Models and Innovative Applications of DeepSeekHarbin Institute of Technology Computational Department丨Principles, Technologies, and Applications of Large Models: From GPT to DeepSeekTibet University丨Special Lecture by Academician of the Chinese Academy of Engineering: Development and Application of New Generation Artificial Intelligence TechnologyCCID丨AI Empowering New Industrialization: Paradigm Shift and Development PathCCID丨New Trends in Development under the Background of Artificial Intelligence: “Storage-Calculation-Perception-Connection”Alibaba Cloud Native Application Platform丨New Paradigm for AI Application AI Agent DevelopmentAlibaba Cloud丨Agent Panorama in the Financial Industry2025 China Artificial Intelligence Computing Power Development Assessment ReportCurrent Status, Industry Chain, and Future Development of China’s Computing Power CenterIDC丨2025 New Quality Computing Power Development White Paper: Generative AI Drives Computing Power Infrastructure to UpgradeRand Corporation丨2025 Progress of Artificial Intelligence Algorithms and Recent Development Forecasts[In-Depth Revelation] This article may be the most comprehensive non-technical popular science article on artificial intelligence on the internetOne article to understand: Are informatization, digitalization, intelligence, and smartization different concepts?Easy to understand! Agents, AIGC, AGI: The “Three Musketeers” of the Large Model EraFinally clear! A comprehensive analysis of machine learning, deep learning, reinforcement learning, transfer learning, ensemble learning, and association rule learningRevealing: What are the parameters of large models? Let’s explain it in simple terms!In-Depth Understanding of Tokens and Tokenizers: Key Breakthroughs in Transformer Learning70 Questions for Enterprises Implementing AI: A Comprehensive Guide to All Challenges!China Telecom Research Institute丨Research Report on the Development of New Unmanned Economy under the Infrastructure of Large ModelsPwC Strategic Consulting Team: New Changes in National Defense under the Global AI CompetitionChina Electronics Technology Standardization Research Institute丨Standardization Research Report on Industrial Large Models for Intelligent Manufacturing2025 Review of Large Model Development, Progress of Domestic and Foreign Large Models, and Future JudgmentsThe Next Paradigm Revolution: Who Will Be the New King of Large Model Architecture?Fudan University丨Sources and Boundaries of Large Language Model CapabilitiesAlibaba Cloud丨Everyone Understands AI: From Machine Learning to Large ModelsGuangxi Industrial Internet Empowering Enterprises’ Digital Transformation and Excellent Cases of “Artificial Intelligence + Manufacturing”2024 Collection of Exemplary Cases of Digital Transformation of Chinese Enterprises (514 pages)In-Depth Interpretation: Shanghai Jiao Tong University “2025 Artificial Intelligence +” Industry Development Blue Book“Scientific Intelligence White Paper 2025” Global Release: AI-Driven New Paradigms in Scientific Research, China Leading the Innovation TrendTen High-Value Application Scenarios of AI Large Models Integrating Industrial SoftwareAI Empowering Education: 20 Essential AI Teaching Scenarios for Teachers, Reshaping the Classroom EcosystemMastering AI: A Practical Manual for Innovative Teaching Empowered by Artificial IntelligenceShenzhen Futian Primary School Research Team丨AI Can Be Used This Way—AI Teaching Application Manual for Primary School MathematicsIndustrial Large Models Empowering New Industrialization: How to Break Through the “Last Mile” of Implementation?“DeepSeek + Industrial Mother Machine”: AI Technology Reshaping the “Heart” of Manufacturing“Hybrid Model” Leading New Trends in AI Infrastructure Construction: From Heavy Assets to a Combination of Light and Heavy PracticesOne Article to Understand丨What is the Low Altitude Economy? Full-Spectrum Applications of Low Altitude EconomyOne Article to Understand丨The Full Picture and Development Trends of China’s Drone Industry ChainThe Current Status and Future Trends of Ten Core Technologies in the Low Altitude EconomyOne Article Overview: The Industrial Chain of the Low Altitude EconomyOne Article Overview: The Industrial Chain of AI Large ModelsOne Article Overview: The Complete Analysis of the AI Agent (Intelligent Agent) Industry ChainOne Article Overview: The Complete Picture of the Digital Economy Industry ChainOne Article Overview: The Complete Picture of the Humanoid Robot Industry ChainOne Article Overview: The Complete Analysis of the Embodied Intelligence Industry ChainWhat are the advantages of DeepSeek, Doubao, Kimi, Tongyi Qianwen, Yuanbao, and Wenxin Yiyan? Choosing AI is like choosing teammates; please keep this “Work Partner Guide”!The “Artificial Intelligence + Education” Action Plan (2025-2029) from Zhejiang Province is here!The “Artificial Intelligence General Education Guide for Primary and Secondary Schools (2025 Edition)” has been officially released!The “Guidelines for the Use of Artificial Intelligence by Primary and Secondary School Students (2025 Edition)” have been released, detailing how AI will be used in various educational stages in the future.The “White Paper on Smart Education in China” has been released, and the National Digital Education Strategy Action 2.0 has officially launched (including release video and full analysis of the white paper).The National Smart Education Platform for Primary and Secondary Schools has launched the “Artificial Intelligence Education” section.The Ministry of Education: The “Guidelines for the Application of Artificial Intelligence in Vocational Colleges” have been released.The “Guidelines for Enhancing and Applying Students’ AI Literacy” have been released.A summary of the latest positioning and policy documents on “Artificial Intelligence +” AI (with links in blue text).Top 50 AI Cities in ChinaTop 100 Innovative Cases of “Artificial Intelligence +” Actions by Enterprises Nationwide in 2025Ranking of Multimodal AI Large Models in 2025Is DeepSeek’s response not good? 90% of the time, it’s because of how you asked the question! Let me teach you a few tricks.Top 30 Robot Companies in China have been announced, and the “2025 Competitiveness Report of Domestic Intelligent Robot Enterprises” has been released.In 2025, the explosion of AI Agent construction platforms, which one is worth choosing?Zhang Yaqin: Opportunities, five development directions, and three predictions for China’s artificial intelligence industry in the post-ChatGPT era.Zhang Yaqin: Some views on the development of artificial intelligence (2025).Top 30 Solutions for Private Deployment of DeepSeek in 2025.Top 100 Leading Enterprises in China’s Intelligent Computing Service Market in 2025.Top 25 New Solution Providers in AI in 2025.Top 500 AI Enterprises in China in 2025.The AI Revolution in Procurement: 101 Use Cases of Artificial Intelligence Explained.Alibaba Cloud丨Agent Panorama in the Financial IndustryThe Evolution of AI Banking: Deep Transformations and Innovative Paths from Intelligent Customer Service to Risk Management.2025 Report on AI Tool Usage Experience for Professionals.Digital Transformation: Strategic Guidance and Practical Guide.The National Data Bureau’s “Action Plan for Building a Digital China by 2025”, with interpretations of eight major tasks and trend outlooks.The National Data Bureau丨Digital China Development Report (2024).What kind of battery is needed to make robots run a marathon?Documentary “Artificial Intelligence: Opportunities and Challenges of the Era” AI: Not Just a Tool.Five Case Stories of AI Agents in Human Resources Implementation.2025 Comprehensive Evaluation Report on Reasoning Models.In the end, is it data or models that AI competes with?The Ten Pillar Industries of China’s Future: New Engines Driving Economic Growth.Foreign Media: The Advantages and Challenges of Humanoid Robots in China.Ten AI-Powered PPT Tools: There’s Always One That Suits You.
AI Science Popularization Museum: Opening the Window to the AI World
“AI Science Popularization Museum” is a science popularization media platform created by the Zhejiang Artificial Intelligence Society, focusing on theoretical, technical, product, and application aspects of AI.The platform pushes high-quality content daily: basic knowledge of AI to help beginners easily get started; technical analysis of AI to help intelligent technology enthusiasts keep up with trends; industry application case analyses to showcase AI’s practical applications in various industries; industry research reports and news to provide professionals with cutting-edge insights. It is not only a treasure trove of AI knowledge but also a bridge connecting the public to the AI world.The operational entity, the Zhejiang Artificial Intelligence Society, is a professional social organization approved by the Zhejiang provincial government, gathering over 3,600 AI professionals, including more than ten academicians, university professors, engineers, entrepreneurs, and startups, dedicated to promoting high-quality economic and social development in Zhejiang. The society regularly holds brand events such as the Yangtze River Delta Artificial Intelligence Conference, China Artificial Intelligence Technology Conference, China AIoT Future Forum, and China Chief Technology Officer Conference.Join the “AI Science Popularization Museum” content platform and become a member of the Zhejiang Artificial Intelligence Society, let us embrace the AI intelligent world together!