The numbers come first. A Fortune commentary says AI is no longer just a productivity tool; in many workplaces, it is becoming a source of anxiety, distrust and cultural strain.
Brad Wolfe, co-founder and executive director of Reimagine, writes that employees are quietly wrestling with a set of losses: the skills they spent years mastering, confidence in colleagues whose work may be AI-assisted, and career paths that suddenly look less secure. He says that, across boardrooms and breakrooms, workers are asking whether their functions will become obsolete.
Wolfe frames that reaction as grief, not simple resistance. He says technological rupture is different from bereavement, but that the emotional response can still be similar when people feel something meaningful has been taken away. In his view, suppressing that response can worsen physical and mental health and even lead to destructive action.
He points to recent corporate data he says shows the tension is already harming company culture. Wolfe cites an August 2026 Gallup study that found employees at organizations deploying AI extensively were significantly more likely to report a worsening workplace culture. He also cites Microsoft’s Work Trend Index, which found that 53% of workers worried that relying on AI for critical tasks made them look replaceable, while over half admitted to hiding their AI usage from management entirely.
That is the paper trail. When employees believe the administrative state of the office is changing faster than management is willing to admit, trust weakens. Capital rewards clear rules, and workplaces are no exception. If workers do not know who wrote what, who owns the output, or what standards still matter, the market inside the company will respond with caution.
Wolfe argues executives should do more than push forced optimism. He says leaders should make room for workers to name what they fear losing, then use that information to set practical responses. He suggests that grief over lost mastery could push firms toward more mentorship and hands-on learning. Grief over eroding trust could lead to clearer norms around authorship, honesty and transparency. Grief over low-quality, AI-generated work, he says, may reveal how much companies still value quality, care and human judgment.
He also writes that workers are owed transparency, meaningful transition support and a real voice in decisions that affect their futures. In his telling, recognition should not be used to win acceptance for decisions already made.
For free enterprise, the lesson is straightforward. New technology can raise productivity, but it cannot be treated as a management slogan while employees absorb the risk. If AI is going to reshape work, leaders will have to explain the rules, not just celebrate the rollout. The market has already voted on the value of clarity: when people think they are replaceable, they stop investing trust, and margins eventually feel it.
