The push for AI-driven efficiency in complex systems carries a hidden cost: it may quietly eliminate the very experiences that produce the next generation of experts. That warning comes from an engineer who, a little over a decade ago, led controls design for a first-of-its-kind full digital-control system at a U.S. nuclear plant.
On paper, the system was a beautiful machine, engineered to run itself the way a modern airliner does. Operators were meant to watch over a system that rarely needed them, intervening only in exceptional circumstances. But the author now suggests that this kind of automation, while efficient, can starve younger engineers of the hands-on troubleshooting and operational judgment that traditionally build deep expertise.
The article is a single perspective, so there is no contrasting view to weigh. Yet the argument stands as a cautionary note for the compute and hardware community: as we design systems that need less human attention, we may also be designing away the training ground for the experts who will need to understand them when things go wrong.