From Cutting-Edge Innovation To Industrial Implementation: Siemens Showcases Core Achievements In Industrial AI At The 2026 World Artificial Intelligence Conference

From Cutting-Edge Innovation to Industrial Implementation: Siemens Showcases Core Achievements in Industrial AI at the 2026 World Artificial Intelligence Conference 2026-07-14

I. Deepening its Focus on Industrial AI, Solving Industrial Implementation Challenges Through Scenario-Driven Approaches

The 2026 World Artificial Intelligence Conference (WAIC 2026) has officially opened, and Siemens is once again a major exhibitor, showcasing its cutting-edge industrial AI technological innovations, multi-industry application scenarios, and achievements in local ecosystem cooperation. This comprehensive display demonstrates Siemens' complete industrial AI capability system, from technology research and development to industrial empowerment. Currently, China, with its complete industrial sectors, deep manufacturing foundation, efficient innovation speed, and open attitude towards technology, has become a core fertile ground for global industrial AI development. However, the industry generally faces structural pain points such as numerous technology pilots, difficulties in large-scale implementation, and weak scenario adaptability.

Dr. Xiao Song, Executive Vice President of Siemens Global, Chairman, President and CEO of Siemens China, pointed out that the core of breaking through the industrial AI bottleneck lies in scenario-driven approaches. Leveraging its century-long experience in the industrial sector, Siemens deeply integrates its proprietary industry knowledge, massive industrial data, and cutting-edge AI technology. Moving beyond conceptual technology output, Siemens focuses on real-world production pain points, propelling industrial AI from single-point pilot projects to large-scale deployment and productivity leaps. Simultaneously, Siemens calls on the industry to break down data and technology barriers and jointly build a win-win ecosystem for industrial AI.

II. Two Major Achievements Debut and Exhibit, Reshaping the Paradigm of Industrial Automation

At this conference, Siemens showcased two core achievements making their China debut and first exhibition, fundamentally revolutionizing traditional industrial automation operations and upgrading industrial AI from an "auxiliary tool" to an "autonomous operator." Among them, the world's first AI agent for industrial automation engineering—the Eigen Engineering Agent—officially debuted in the Chinese market, breaking the limitation of traditional AI that can only provide auxiliary suggestions.

This agent can independently complete end-to-end industrial automation engineering operations, covering core tasks such as project requirements understanding, intelligent PLC code generation, HMI visual development, system configuration and debugging, and full-process iterative verification, without requiring full human intervention. After implementation, engineering execution efficiency has increased by 2-5 times compared to manual processes, overall engineering efficiency has improved by 50%, and solution quality has been optimized by 80%, allowing engineers to focus on high-end solution decisions and completely freeing up manpower for repetitive tasks. Simultaneously, a prototype intelligent battery module dismantling system jointly developed by Siemens and Beichen Recycling was showcased. Utilizing Eigen engineering intelligence and simulation technology, it achieves intelligent identification and precise dismantling of waste battery modules, solving the challenge of intelligent power battery recycling.

Furthermore, the industrial AI orchestration software Intelligence Center X made its China debut. This software establishes a standardized industrial AI foundation, breaking down barriers between enterprise data, algorithm models, and business processes. It supports human-machine collaboration and intelligent agent collaboration, and can be flexibly deployed across multiple scenarios. Real-world testing data shows that this software can reduce repetitive manual workload by 95% and improve production problem handling efficiency by 85%, helping industrial AI transition from scattered pilot projects to standardized, large-scale production-level applications.

III. Deepening Implementation Across Multiple Industry Scenarios to Create Real Value from Industrial AI

Adhering to the philosophy of "technology tailored to specific scenarios, empowering and creating value," Siemens set up multi-industry themed exhibition areas at the conference, focusing on four core areas: life sciences, consumer goods, automotive manufacturing, and infrastructure. These areas showcased the full-process implementation results of industrial AI, precisely addressing production pain points in various industries.

In the life sciences field, Siemens' digital laboratory solution creates a closed-loop system for new drug development. Relying on AI modeling and simulation technology, it covers the entire process from early drug discovery to formulation and process design, effectively shortening the experimental cycle by 30% and reducing upfront R&D costs by 20%, solving the industry challenges of long development cycles and high investment in new drug development. In the consumer goods industry, the gPROMS digital twin solution and the Flamingo industrial AI controller work together to autonomously optimize production process parameters, adapt to complex scenarios such as raw material fluctuations, and steadily improve product quality and production line efficiency.

In the automotive manufacturing field, Siemens' end-to-end digital solution optimizes the entire process of vehicle R&D, production, and quality control through technologies such as virtual commissioning, AI visual quality inspection, and predictive maintenance, creating a flexible and efficient modern manufacturing system. In the infrastructure sector, Siemens AI energy-saving solutions have been implemented in hotels, industrial parks, and computing centers. The Sichuan Run Zero-Carbon Factory project, for example, has reduced energy costs by 30% and cumulatively reduced carbon emissions by 64,000 tons, leveraging digital intelligence to support green and low-carbon development.

IV. Building an Open Ecosystem to Accelerate the Large-Scale Adoption of Industrial AI

The large-scale development of industrial AI relies on an open and collaborative industrial ecosystem. Leveraging the Siemens Xcelerator open digital business platform, Siemens continuously integrates cutting-edge global AI technologies, industrial data resources, and local industry strengths to build a complete industrial AI innovation ecosystem. Currently, the platform has accumulated over 600,000 registered users and more than 500 ecosystem partners in China, and gathers over 800 mature products and industry solutions.

The platform's dedicated industrial AI intelligent agent development platform is specifically adapted to complex industrial scenarios, supporting rapid intelligent agent development, continuous iteration of the industrial knowledge base, and precise matching of computing power, significantly lowering the threshold for enterprises to implement industrial AI innovation. By linking upstream and downstream resources and streamlining the entire chain from technology R&D, scenario testing, to practical application, Siemens achieves efficient supply and demand matching, providing comprehensive support for the digital and intelligent transformation of manufacturing enterprises and continuously activating the innovation vitality of industrial AI in China.

V. A Major Launch Event to Lead a New Wave of Industrial AI Development

To further promote the popularization of industrial AI technology and collaborative innovation across industries, Siemens will hold the "Industrial AI Enters Reality – Siemens Eigen Engineering Intelligent Agent Launch Event" on the morning of July 18th in the Red Hall of the Shanghai World Expo Center. This event will focus on global trends in industrial AI transformation and the transformation path of China's manufacturing industry, deeply analyzing the reconstructive value of intelligent agent technology for industrial automation.

The Eigen Engineering Intelligent Agent will be officially launched at the event. Simultaneously, in collaboration with authoritative industry partners and local enterprises, Siemens will explore the application boundaries and future prospects of industrial AI intelligent agents, share practical experience, promote the industry to break down technological barriers, share industrial dividends, and help China's manufacturing industry achieve comprehensive upgrades in quality improvement, cost reduction, efficiency enhancement, and low carbon emissions through industrial AI, leading industrial AI into a new stage of large-scale and real-world development.

More Products

BT432E	DSQC373 3HAC31801	HB6000
FCD13AAM 284432	ABB 1SAP250600R0001 AI531	FDU91-RG4AA
ESM-9450	DSM4-07.2-00R.94-00A	SIBONI 30PC008 IP44 DA7x18 26-39
ABB 642295224E NAMC-51 3BSC980006R326	FA3S VAM-0070	MOELLER P10-400
REXROTH HSM01.1-FW R911276718 R911309169 FWC-HSM1.1-ELS-06V10-D5	TRUMPF 12-08-39-00/-04 1239401 LEM 12A-10018	ATLAS COPCO DMC 50720P 56N517C
CSC795	VAM0080	R7MA40030
KEYENCE IV-H500MA	COVAL GVMAXSP345V2 A00907769	TESA TC-60 7M 007 TC60 04630007
SIEMENS S42024-A1748-A1 G0 S42024A1748A1 S42024-A1748-U501-2-U6-02 S42024-A1748	1018-0002-00-00	VT500225R5E
SIEMENS S42024-A1799-A3 G01 S42024A1799A3 S42024-A1799-A302	ABUS LIS-SV AN: 17790	FEM54 DPDT 52026499
QV60 0811405099	DCF77U/A31 DCF77	EFC3610-3K00-3P4-MDA-7P
16/897.000.0 S R4109663	FRONIUS 34/32	200822D26 FC200822E
KS410001	00F5060-4001	200428C26 FS-200428/E
0ZDV2471G1300	ZFXC15	6ES74131XG020AB0
IC693CMM321-EF	07.F4.SOC-1220	FS200428D
PHOENIX CONTACT 2721950	DANFOSS 027F2131 PMFL00	Q13UDHCPU
S-G05	BAER VU25 ADV6125	MCPU300
IP53-EX-SW05-V1.01	6SE92121BA40	PCD4B900 PCD4.B90
FESTO 184509 JMEBH-5/2-D-3-ZSR-C	BWU2702 AS-I 3.0	PR936705H
R911305278 CSB01.1C-PB-ENS-NNN-NN-S-NN-FW	B&R 8BAC0122.000-1 AC0122	XBT-P011010
DSQC368 3HAC2183-1	IPF PE280141	LKN50400D32

Manager: Leonia

Email: sales11@amikon.cn

Whatsapp: +8618030175807

Next :
Beyond Rigid Control: How Basic Robot Models Break Through Traditional Automation Bottlenecks and Reshape Industrial ROI

Blog