New research challenges the assumption that routine white-collar tasks are the most vulnerable to automation, arguing that many such jobs involve complex, unpredictable interactions with people. The study highlights how roles requiring judgment, adaptability, and social skills—often overlooked in discussions of AI and algorithmic replacement—pose greater resistance to full automation. Experts suggest that the true difficulty lies not in replicating repetitive processes but in mimicking human intuition and collaboration. This shifts the focus from technical feasibility to the ethical and practical hurdles of replacing uniquely human aspects of work.
Predictions that white-collar work will soon be automated reveal an underappreciation of what other people’s jobs entail
