Hannover Messe 2026: The Age of Agentic & Industrial AI

Hannover Messe 2026 has officially opened its doors, in a show of force demonstrating the power AI can bring to industrial settings.

This year, the conversation has moved way past theoretical toward the tangible, measurable benefits of AI in the manufacturing sector.

Over 3,000 exhibitors gathered in Germany, with the world’s leading technology firms demonstrating a unified front in deploying advanced AI systems to address modern industrial challenges.

The convergence of physical, generative and agentic AI, alongside robotics and digitalisation are on display, providing companies with a distinct competitive edge in an increasingly complex global market.

Siemens’ physical AI stack 

Utilising this year’s event to demonstrate how AI systems are evolving from advisory tools into active participants on the factory floor, Siemens is showcasing a flexible shoe production line.

Through this the industrial giant is showing how autonomous AI models can move beyond making recommendations to taking direct action.

This display revolves around the collaboration between Siemens, NVIDIA and the robotics firm Humanoid.

The HMND 01 wheeled Alpha humanoid robot – built using the NVIDIA physical AI stack – has already moved out of the lab and into the real world, successfully performing autonomous logistics tasks at Siemens' electronics factory in Erlangen, Germany.

“Factories of the future demand robots that can perceive, reason and adapt autonomously alongside human workers, tackling the laboir shortages and operational complexity that traditional automation struggled to handle,” says Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA.

“With Siemens providing the industrial integration backbone and Humanoid deploying NVIDIA's full physical AI stack – from simulation-first training to real-time edge inference – this deployment paves the way for humanoid robots meeting real production targets on a live factory floor.”

The potential of physical AI architectures can be seen from the robot’s impressive performance matrix – achieving a throughput of 60 tote moves per hour while picking and placing containers for human operators.

By leveraging the Siemens Xcelerator portfolio, the robot integrates seamlessly with existing machinery, creating a “simulation-first” environment that allows for rapid scaling and real-time edge inference.

This approach highlights how AI training environments can translate directly into production-ready implementations.

Agentic AI with Schneider Electric and Microsoft

As Siemens masters the physical AI domain, Schneider Electric is focusing on the cognitive architectures behind the operation.

By partnering with Microsoft, Schneider shows how agentic software is cutting engineering time by as much as 50%.

The Schneider Industrial Copilot, powered by Microsoft Azure AI, is already delivering significant return on investment for early adopters like h2e POWER – an Indian green hydrogen supplier.

Notable outcomes for h2e POWER include 6,000 hours of stable autonomous operation, 10% reduction in the levellised cost of hydrogen and €500,000 (US$588,000) in estimated savings.

“With Schneider Electric's open, software‑defined automation and Microsoft's AI capabilities powered by Azure, our systems are becoming smarter, more responsive, safer and dramatically more scalable,” notes Siddharth Mayur, Founder of h2e POWER, told attendees at the event.

“This open architecture also means we can redeploy intelligence across our entire installed base across multiple locations, without the lock‑in that has constrained industrial innovation for decades.”

The success of these implementations demonstrates how agentic AI can transform traditional engineering workflows, enabling manufacturers to achieve faster deployment times whilst maintaining high quality standards and operational safety across their facilities.

Infrastructure for AI deployment

The hurdle for most manufacturers isn’t the AI but the computational infrastructure required to run them.

Schneider and Dell are showcasing a comprehensive "future-ready foundation" that covers the entire lifecycle of an AI deployment – this includes operational technology groundwork with reliable local systems powered by ProLeiT, digital twin design through high-fidelity planning via AVEVA and NVIDIA Omniverse to lower deployment risk and modular infrastructure using prefabricated data centres built on Dell solutions for rapid scaling.

Schneider also showed how its EcoStruxure Automation Expert runs on AWS cloud infrastructure.

Using Amazon EC2 for virtualised control and AWS IoT Greengrass at the edge, manufacturers can deploy AI-driven automation consistently across distributed environments.

The persistent challenge of managing heterogeneous hardware across multiple global sites will no longer be a bother. 

In the AI age, as the lines between information technology and operational technology continue to blur, the emphasis remains on computational efficiency and data sovereignty.

Bernd Wagner, CSO of Schwarz Digits (the IT division of Schwarz Group), told attendees at the event: “Robust IT infrastructures are now the foundation of global competitiveness.

“We help industrial companies securely integrate cloud, AI and IT services into their processes to dramatically increase efficiency whilst keeping control over their own data.”

Hannover Messe 2026 hence suggests that pilot programmes for AI architectures are essentially over as the age of the AI-integrated factory is now underway.