With the rapid evolution of large language models (LLMs) and intelligent automation technologies, AI agents are becoming powerful tools in the mechanical engineering sector. These agents can make autonomous decisions, analyze complex data, and interact with machines and systems in real time—transforming traditional processes across maintenance, production, sales, and service. This panel discussion explores how AI agents are being integrated into Industry 4.0, what their current capabilities are, and what ethical, technical, and operational challenges still stand in the way of widespread adoption. Are we at the dawn of a new era where humans and AI co-pilot the factory of the future?

• What distinguishes AI agents from traditional automation systems and conventional AI applications like chatbots?
• Which use cases in mechanical engineering are showing the greatest value from deploying AI agents today?
• How can AI agents be safely integrated into critical manufacturing processes without compromising reliability and control?
• What are the main challenges in training and governing industrial AI agents—especially in terms of data quality and compliance (e.g., GDPR)?
• How will the role of engineers and operators evolve as AI agents take on more autonomous tasks? Will they replace, augment, or collaborate with human expertise?