Siemens AG is set to make a prominent appearance at the 2026 World Artificial Intelligence Conference (WAIC 2026), presenting its latest advancements, multi-sector applications, and collaborative achievements within the industrial AI domain. The company will highlight how AI is being integrated into tangible business processes to unlock industrial productivity. A key focus will be on industries such as life sciences, consumer goods, automotive manufacturing, and data centers, demonstrating how industrial AI can enhance research, production, and operations to deliver concrete value through efficiency gains, quality improvements, and cost reduction. Siemens also plans to announce deepened partnerships with several local enterprises, leveraging China's rich industrial landscape and innovative ecosystem to drive the practical application of AI solutions.
China's Unique Advantages and the Imperative of Scenario-Driven AI
"The breadth of China's industrial sectors, the depth of its manufacturing system, the speed of its industrial innovation, and its openness to new technologies represent unique advantages for developing industrial AI," stated Dr. Xiao Song, Global Executive Vice President of Siemens AG, Chairman, President and CEO of Siemens China. "However, the key to transforming these advantages into real productivity and solving the structural challenges of AI implementation lies in 'scenario-driven' approaches. Siemens is committed to deeply integrating our industry knowledge, data heritage, and technological innovation, ensuring AI is rooted in real-world scenarios. This starts with delivering tangible results at specific points and scales up to achieve a leap in productivity. We advocate for breaking down barriers, promoting open scenarios and data flow to jointly create, share, and benefit from the dividends of the industrial AI era."
Showcasing Pioneering Innovations and a New Paradigm for AI-Driven Production
A major highlight at the conference will be the China debut of Siemens' Eigen Engineering Agent, the world's first AI agent designed for industrial automation engineering. Unlike most current AI tools that only offer suggestions, the Eigen agent can independently perform engineering tasks, handling end-to-end planning, execution, and verification for automation projects. It understands project requirements, writes control software, completes system configuration, and iteratively optimizes until all metrics meet preset quality standards. This allows automation engineers to focus on higher-level system decisions. The agent aims to boost engineering efficiency, reduce repetitive workloads, and embed AI-driven automation into daily workflows. Core capabilities include intelligent PLC code generation, HMI visualization development, drive configuration optimization, and project configuration support. It can accelerate numerous daily engineering tasks, achieving execution efficiency 2 to 5 times faster than manual workflows, a 50% increase in engineering efficiency, and an 80% improvement in solution quality, marking a fundamental shift from AI assistance to autonomous execution.
Additionally, Siemens will present the China premiere of its new industrial AI orchestration software, Intelligence Center X. This software provides a unified, standardized foundation to integrate enterprise data, models, and workflows, enabling efficient deployment of AI applications and agents. It helps transition industrial AI from scattered pilot projects to manageable, scalable production-grade applications. By connecting enterprise data and full lifecycle information, Intelligence Center X facilitates collaboration between humans and AI agents within the same business context, accelerating problem-solving, improving decision quality, and enabling scaled digital transformation. Supporting flexible deployment models, it has already been adopted by global partners across various industries, helping clients reduce repetitive manual workloads by 95% and improve production issue resolution efficiency by 85%.
Delivering Tangible Value Across Diverse Industry Scenarios
The successful scaling of industrial AI requires more than replicating the same capabilities across different sectors; it demands a deep understanding of each industry's specific processes, constraints, and value objectives to solve real problems in real scenarios. At WAIC, Siemens will use dedicated "industry islands" to demonstrate how industrial AI addresses critical challenges in key sectors.
In the life sciences sector, Siemens will showcase its "Digital Lab" solution, which provides end-to-end simulation capabilities from early drug discovery to formulation process design. By accumulating structured data and conducting AI-driven scenario analysis, it supports precise decision-making and continuous optimization of experimental pathways, potentially shortening overall experimental cycles by approximately 30% and reducing early-stage R&D investment by about 20%.
For the consumer goods industry, Siemens will demonstrate how AI-driven model validation and computational power enable autonomous optimization of complex process parameters to enhance production line efficiency and product quality. The company's gPROMS process digital twin solution can increase unit-time output and reduce energy consumption. Siemens' proprietary industrial AI controller, Flamingo, which builds AI models to analyze key production factors and optimize parameters, will also be on display and is already in use at several food companies.
In the automotive sector, Siemens will present digital solutions covering the entire vehicle production chain. These include Tecnomatix digital twins for virtual commissioning to shorten development cycles, and the Inspekto AI visual inspection suite to optimize defect detection in automotive parts and improve yield. Data-driven predictive maintenance and quality traceability capabilities further help reduce unplanned downtime.
For infrastructure, Siemens will illustrate how industrial AI enhances the reliability and energy efficiency of buildings, campuses, and data centers. Examples include an AI solution for a Shanghai hotel that achieved an additional 7% energy saving without disrupting operations, and a Smart ECX energy and carbon management platform at a Sichuan factory that reduced energy costs by 30% and cut carbon emissions by 64,000 tons.
Collaborative Ecosystem to Accelerate Scalable AI Adoption
As industrial AI moves from technical validation to scalable application, Siemens is leveraging its open digital business platform, Siemens Xcelerator, to connect foundational large language models, industrial data, and vertical industry partners. This integrates cutting-edge AI capabilities deeply into the industrial value chain, delivering concrete value in core scenarios like R&D, quality control, production optimization, and predictive maintenance. The Siemens Xcelerator Industrial AI Agent Development Platform is specifically designed for industrial settings, facilitating agent development, industrial knowledge base iteration, and matching computing resources to help innovators bring ideas to market faster.
Currently, Siemens Xcelerator in China boasts over 600,000 registered users, more than 500 ecosystem partners, and over 800 products and solutions. This ecosystem supports users in exploring, evaluating, and applying industrial AI solutions, expanding implementation scenarios, and accelerating scaled adoption through efficient supply-demand matching.
As a key event during WAIC 2026, Siemens will host the "Industrial AI Steps into Reality – Eigen Engineering Agent Launch Conference" on the morning of July 18th at the Shanghai Expo Center. This forum will offer a forward-looking analysis of the global industrial transformation driven by AI and the path for intelligent transformation in Chinese manufacturing. The event will feature the official launch of the Eigen Engineering Agent and discussions with industry partners on the application prospects of AI agents in automation engineering, aiming to lead the charge in bringing industrial AI into reality.
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