June 25, 2026
What the Gallup AI Layoff Gap Means for the Employees Who Stay
New research from Gallup cuts against the dominant narrative about AI and jobs. Among US technology workers, those who used AI less than monthly were three times as likely to have been laid off as colleagues who used it at least monthly.
The implied message is blunt. Adopt AI, or risk your job. Yet the more revealing number sits further down the report.
When Gallup asked laid-off workers to give the main reason in their own words, just 1% named AI or automation. Most pointed to organisational restructuring, budget cuts, and broader economic conditions. That sits awkwardly alongside what employers say in public. According to outplacement firm Challenger, Gray & Christmas, AI accounted for almost 40% of the stated reasons for US job cuts in a recent month.
A Gap Between What Workers See and What Employers Say About AI Layoffs
Two accounts of the same event do not match. While employers increasingly name AI when they announce cuts, people losing their jobs rarely do. Gallup is careful about how it interprets this. The researchers suggest workers’ explanations “may reflect AI’s influence on internal decisions, even when workers were not told that AI influenced the outcome”, rather than concluding that AI is the hidden cause in every case.
Rather than proving AI is the reason behind most of today’s layoffs while companies stay silent, the data points to something else. A distance is growing between the official story of why people lose their jobs and what those people understand to be true. Whether that distance is deliberate or not, it amounts to a communication breakdown. And communication breakdowns during redundancies carry well-documented consequences.
Why the Gap Matters to the People Who Stay
The cost of getting this wrong is not limited to the people who leave. It impacts the colleagues who remain as well, through a pattern organisational psychologists call layoff survivor syndrome: the guilt, anxiety, eroded trust, and reduced productivity that settle over those who keep their jobs.
Survivors read the fairness of a layoff as information about how they themselves will be treated. When the stated reasons feel evasive or incomplete, trust in leadership falls. As organisational psychologist and Culture and Engagement Director at Firgun, Danny Wareham, has noted, “uncertainty is psychologically expensive”, and the threat detection it triggers can persist for months.
A perception gap is, in effect, a steady supply of that uncertainty.
Ambiguity, Not Just Concealment
Part of what makes AI-related cuts so corrosive is it cannot be packaged as a single, clearly announced programme. Nina Carøe, Chief Human Success Officer at Zensai, has argued that this ambiguity is what breeds fear, and that trust drops “not because employees fail to grasp tough decisions, but because the official story rarely matches what they see.”
Carøe’s prescription is candour about what was truly cost-cutting, what was strategy, and what was genuinely AI. The Gallup data is a reminder of how rarely organisations offer that clarity. When they do not, employees fill the silence with their own assumptions, which tend towards the negative.
When AI Use Becomes a Target: Amazon and the ‘Tokenmaxxing’ Trap
There is a tempting but flawed response to Gallup’s finding. If regular AI users are more insulated from layoffs, leaders might conclude that the fix is to push adoption hard, perhaps by tracking how often employees use the tools. But tying job security or performance to AI usage risks pushing people to use the tools simply to be seen doing so.
Amazon has just learned this the hard way. The company recently shut down an internal leaderboard, known as KiroRank, that scored developers on their activity across its Kiro AI platform. Under pressure to show usage, staff began ‘tokenmaxxing’: running trivial or unnecessary tasks through the tools to inflate their token consumption and climb the rankings. The behaviour drove up computing costs without creating value, and senior vice-president Dave Treadwell reportedly told staff, “Please don’t use AI just for the sake of using AI.”
A perception gap met with an ‘adopt or be cut’ message only deepens the threat. The more constructive approach treats AI fluency as something organisations have a duty to enable, through access, training, and genuine support. As Nick Lynn, Managing Director, WTW recently argues at Engage Employee Summit, ‘involve’ is the key verb for this issue: bringing people into the question of how their work changes, and framing the goal as more valuable work rather than fewer people.
The Customer Experience Cost
For organisations that serve customers, none of this stays contained within the workforce. Stretched, anxious teams have fewer cognitive resources for the empathy, judgement, and problem-solving that good service depends on. Longitudinal research drawing on the American Customer Satisfaction Index has linked downsizing directly to lower customer satisfaction, with the effect most pronounced where staff were already stretched.
In one survey of layoff survivors, 81% said the service customers received had declined.
What Leaders Can Influence During Layoffs
Some degree of psychological harm is unavoidable when roles are cut. What leaders can shape is whether the people who remain experience the process as fair, honest, and understandable.
Research identifies procedural justice as one of the strongest predictors of how employees respond to organisational change. In practice, that means explaining the rationale behind decisions, making space for questions, and being honest about the role AI did or did not play.
The AI layoff perception gap suggests many organisations are some distance from that standard. Closing it will not make redundancies painless. But for the employees who stay, and the customers they serve, an honest account of why genuinely helps.
