Expertise Just Changed Its Definition #AI #IndustrialAI
Industrial expertise used to mean years of proximity to senior engineers who carried project knowledge in their heads. Siemens’s Eigen Engineering Agent, now live after pilots across 100 companies in 19 countries, makes that knowledge queryable by anyone on day one – writing PLC code, configuring devices, and generating HMI visualizations two to five times faster than manual engineering with 80% higher solution quality.
The onboarding shift is the real signal here. When a new engineer can query a live industrial project and get accurate, contextualized answers immediately, the definition of expertise stops being about accumulated context and starts being about the quality of questions asked. That is a structural change in how industrial knowledge gets held and transferred – not just a productivity gain.
This is AI operating inside real factory control systems with safety requirements that office software never faces, deployed in production across 19 countries. The gap between AI as a software-layer tool and AI as physical-infrastructure capability is closing faster than most workforce planning has accounted for.
Watch the full episode here: https://www.youtube.com/watch?v=19SQrj7Ea5g
Get the full story on all of this and much more – read the full edition of today’s Century Report here: https://sharedsapience.com/the-century-report-april-21-2026/
#AI #IndustrialAI #CenturyReport #FutureOfWork #Automation
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Watch the full episode here: https://www.youtube.com/watch?v=19SQrj7Ea5g
Get the full story on all of this and much more – read the full edition of today's Century Report here: https://sharedsapience.com/the-century-report-april-21-2026/
The beginning of the Loss of Human Knowledge. When people hand over their Knowledge and don't try to learn how anything works.
Thats also the definition of Dependency.
Which means human engineers will be obsolete soon.
..the The question is not where the information resides. the time spent is in the acquisition of knowledge by human beings so the latency is exactly the same but the answers reside in a machine instead of the brains of multiple human beings. And the interesting thing is the burden now is on the person acquiring the knowledge to know which questions to ask and that skill itself requires years of insight and learning from mistakes. You're also making the assumption that teaching is irrelevant that the person with the knowledge knows how to simplify it and break it down into practical manageable digestible bits of information that a person without that knowledge needs to consume and digest and learn and grow and you're forgetting the fact that these hard knowledge facts go alongside soft skills like people management communication etc which is critical not only to make decisions but to communicate those decisions as well