My internship experience made one idea very clear: automation conversations are strongest when they are grounded in specific tasks, not general claims.
In several operational settings, the most realistic robotics use cases were repetitive, high-fatigue workflows where quality consistency and safety mattered.
That changed how I think about the future of work. The core question is not "Will machines replace people?" The better question is: which human capabilities become more valuable when repetitive execution is automated?
From a student perspective, this means preparing for hybrid roles that combine analytical thinking, communication, and technical literacy.