AI automation leads to paradoxes where human skills deteriorate due to reduced engagement, causing inefficiency and knowledge gaps. Humans become overseers, losing expertise needed for monitoring automated systems effectively. This raises risks of errors going unnoticed, as attention wanes in low-activity scenarios. Future automation may create unqualified operators lacking necessary knowledge. The reliance on AI without maintaining human skills and awareness is unsustainable, demanding a reevaluation of monitoring roles and potential new job profiles to mitigate these issues.
AI and the Ironies of Automation
