Expertise Just Changed Its Definition #AI #IndustrialAI

Hinzugefügt: 2026-05-05

[00:00:00]Siemens launched the iGun engineering agent. It's a generally available after pilots with 100 companies in 19 countries. This is an AI system that operates inside real industrial automation projects. It writes PLC code, the logic that controls factory machinery. It configures devices. It generates the human-machine interface visualizations that operators actually look at on the factory floors. The performance numbers, 225 times faster than manual engineering. 80% higher solution quality. 50% greater overall engineering efficiency. Prism systems in the US said code creation dropped to seconds. But the detail that caught me here is the onboarding story.

[00:00:44]New engineers who previously spent weeks learning project structure and component relationships, essentially apprenticing under senior engineers who carried all the context in their heads, can now query the project directly and get accurate, contextualized answers immediately. That is a shift in what the word expertise means. The traditional model assumed that project knowledge transferred slowly through proximity over years. That was apprenticeship. If that knowledge now lives in the project itself, structured, queryable, instantly accessible, then expertise migrates from years of accumulated context to quality of questions asked.