Artificial intelligence is moving deeper into industrial automation, and Siemens is taking a major step with its Eigen Engineering Agent. The technology is designed specifically for industrial automation engineering and aims to help engineers perform repetitive and complex engineering tasks more efficiently.

Unlike conventional AI assistants that mainly provide text-based suggestions, the Eigen Engineering Agent is designed to work with real engineering environments. Siemens introduced the technology in 2026 as a purpose-built AI solution for automation engineering, connecting AI capabilities with industrial engineering workflows.

For PLC engineers, this development is particularly significant. PLC projects often involve repetitive configuration, hardware setup, programming, documentation and validation tasks. These activities require engineering expertise but can also consume considerable amounts of time. An AI-based engineering agent can potentially reduce manual work by assisting with selected engineering workflows.

The technology is connected with Siemens automation engineering environments and is designed to understand engineering projects and execute multi-step tasks. New capabilities introduced during 2026 further expanded its ability to work with electrical design information and engineering files.

This development reflects a broader change in the industrial automation industry. AI is gradually moving from a simple productivity tool toward an engineering assistant capable of interacting with real industrial software. Instead of only answering questions, industrial AI systems are increasingly being designed to analyze engineering information, generate configurations and support validation.

The impact could extend beyond PLC programming. Modern automation projects involve PLC controllers, HMI systems, drives, industrial networks, sensors, safety systems and higher-level manufacturing software. Engineers must coordinate these components while maintaining system reliability and cybersecurity. AI-assisted engineering could help reduce repetitive work across these different areas.

However, industrial AI does not eliminate the need for experienced automation engineers. PLC programs and control systems directly affect machines and production processes, so engineering results still require verification, testing and human approval. Industrial environments have strict requirements for safety, reliability and predictable behavior.

The most practical application of AI in automation may therefore be collaboration rather than complete replacement. Engineers can focus on system architecture, process requirements, safety strategies and complex troubleshooting, while AI handles selected repetitive engineering activities.

The arrival of engineering-focused AI also shows how automation software is evolving. Traditional PLC engineering tools were primarily designed around manual configuration and programming. The next generation of engineering platforms is likely to combine conventional automation functions with AI, simulation and digital engineering.

For manufacturers, this trend could reduce engineering workload, accelerate project development and make automation expertise more scalable. As industrial AI becomes more mature, PLC engineers, system integrators and automation professionals will increasingly need to understand both traditional control technologies and AI-assisted engineering workflows.