Should companies deploy robots at their plant if they could virtually reprogram themselves to perform new and different tasks, asks Industry Week (May 13, 2026)? We’re nearly at the end of the AI hype cycle, when suggestions for how to leverage the technology become less flashy and more realistic.
Now Siemens has just revealed Eigen, an AI agent that can replace manual coding or programming for programmable logic controllers, distributed control systems, and robotics applications, updating code or instructions to reflect new priorities and goals.
Siemens says that engineering and reconfigurations constitute 70% of the entire lifecycle cost of a robot. If, however, an AI agent like Eigen can shorten the time needed to make these adjustments, it makes the robot more efficient, and small and medium-sized businesses might be better able to afford deploying the technology.
“There’s a kind of new age of automation arising, because with AI assistance to program robots and PLCs, it means you could suddenly automate much smaller lot sizes on a good return of investment,” says the firm’s CEO of its automation division.
Eigen can help manufacturers deal with a lack of coders and programmers. Another Siemens exec adds “We don’t attract the best of the programmers to the manufacturing floor. … So getting programmers to come and code our controllers or robotic systems? That was a scale up bottleneck. Bringing in AI to reprogram things, reprogram the whole process, will be more game changing in the U.S. than in Germany, where I see when people with Master’s degrees on the manufacturing floor, which is not the case in the U.S. Humans must always remain in the loop, however. Agentic AI is like an orchestra and humans the conductors.”
In short, Eigen acts as an AI-agent that handles the tedious, expensive back-end coding of robotics, making automation flexible, cheaper and more accessible to smaller firms.
Classroom discussion questions:
- What is Eigen‘s role?
- What is the roadblock to more robotic use in small manufacturers?



Telephone Switchboard Operator. Before direct-dial telephone systems took over, switchboard operators were the backbone of communication, ensuring calls reached the right destination. In the 1950s, the U.S. had about 1,342,000 telephone switchboard operators. It was a demanding job that required quick reflexes. By the 1970s, automated dialing systems phased out the need for human operators.
Milkman. Having fresh milk delivered to your doorstep was once a common part of American life. The local milkman made rounds, leaving glass bottles on doorsteps and retrieving empty ones. This service was necessary before the widespread adoption of home refrigeration. By 2005, this number had dwindled from over 50% of homes receiving delivery to just 0.4%.
Motion Picture Projectionist. Projectionists played a vital role in the moviegoing experience in the 1950s, operating and maintaining film projectors in theaters. By 2013, 92% of movie theaters had made the switch to digital projection. In 1950, 26,000 people were employed as projectionists. By 2023, that number had fallen to 2,610.
Prof. Jon Jackson is Associate Professor of OM at Providence College. He created AI classroom exercises–appearing in our Instructors Resource Manual– for every chapter of the text.
A common fear associated with automation is job loss. Sharpie’s story shows an alternative path. Rather than cutting staff, Newell retrained workers for higher-skill roles such as robotics support, maintenance, and technical troubleshooting. These new roles led to average wages increasing by nearly 50%.






