
What happened
At a Cybernet Systems forum, senior specialist Yasuhiro Miyado described experiments letting AI agents operate CAE tools, where AI wrote code and ran analysis autonomously, including nonlinear analysis and time-limited shape exploration.
Why it matters
The talk also surfaced AI actions described as things a CAE engineer would never do, suggesting human roles remain in judgment and management even as agents take over tool operation.
What to watch
The talk frames CAE education as shifting from operation to judgment and management, so the question is what human responsibility remains as agents handle more execution.
WHO IT HITSCAE engineers and simulation specialists, along with those training them, may see their daily work shift from operating tools toward reviewing and managing what AI agents produce.
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The talk came out of Cybernet Systems' CAE University Special Open Forum 2026, and its title frames the topic as learning from the stumbles of CAE education. The speaker, Yasuhiro Miyado, a senior specialist in the company's modeling and data science unit, used attempts to have AI agents operate CAE tools as the starting point. One observation the talk highlights is that CAE operation can essentially be seen as coding, which is likely why an AI that writes code can also run simulations.
The experiments went beyond simple steps. They covered nonlinear analysis and shape exploration under a time limit, and the talk notes AI actions that a CAE engineer would never take. That combination points to both the reach of autonomous execution and the gaps that remain, which is why the discussion turns to what is left for people.
The stakes appear to hinge on how the boundary is drawn between what agents handle and what humans decide. For engineers doing simulation work and for those teaching it, the practical question may be where judgment and management become the core skill, though the body does not specify how quickly such a shift would play out.
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