Many workers feel nostalgic for the pre‑AI era, lamenting the loss of the human touch as algorithms screen applications and robo‑recruiters conduct interviews.

A study by Adaptavist found that 65 per cent of white‑collar employees yearn for the old way of working, while a third would abandon generative AI because it stifles creativity and a similar proportion worry about misuse. The constant need to fact‑check AI output turns the promised productivity boost into a slog, a sentiment echoed by lawyers and consultants who have been scolded for citing hallucinated cases.

Research shows that while generative AI can spark more plot twists, it also duplicates ideas and homogenises stories, a trend noted by the Wharton School. Employers’ shifting AI policies—from encouraging experimentation to tightening controls briefs employees further, especially as tech firms move to token‑based billing and cost concerns rise.

In May, former Google CEO Eric Schmidt was heckled at the University of Arizona for urging students to board the “AI rocket ship” without scrutiny. Historian Jason Dressel argues nostalgia reflects a craving for stability, agency and economic confidence amid rapid change. The challenge is to keep what adds value and discard what merely inflates noise.