44% of Gen Z Workers Admit Sabotaging Company AI Rollouts

'Fearful' Gen Z Employees Intentionally Sabotage AI Adoption Over Job Security Concerns

FOBO, the fear of becoming obsolete, is driving Gen Z workers to actively sabotage AI integration in the modern workplaces.

Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout

Many employees are refusing to use AI tools, with some even admitting to tampering with performance reviews to make AI appear less effective.

Why Gen AI Feels So Threatening to Workers

As generative AI begins to handle more cognitive, creative, and interpersonal tasks, many employees perceive it to be a threat to their competence, autonomy, and sense of belonging at work. These psychological disruptions are producing widespread resistance, disengagement, and even covert opposition to AI initiatives. The challenge for leaders is not just technical integration but emotional and social adaptation. To meet that challenge, the auth…

Workers Are Using A.I. They Don't Trust. That's a Problem for the C-Suite

A new national poll finds that adoption of artificial intelligence in American workplaces is accelerating sharply -even as anxiety about the technology deepens and confidence in the people deploying it erodes

The Quiet Revolt: Gen Z Workers Are Deliberately Undermining AI Deployments From the Inside

They’re not picketing. They’re not writing manifestos. They’re feeding bad data into training sets, quietly reverting to manual processes, and slow-walking implementation timelines. Across industries from finance to logistics to media, a growing number of Gen Z employees are engaging in what amounts to workplace sabotage — directed squarely at artificial intelligence systems their employers are racing to deploy. The phenomenon, first reported in…

AI Is Reshaping Entry-Level Work Inside the Enterprise

Research indicates AI is transforming entry-level roles in enterprises by making new hires role-ready more quickly, with 88% of CHROs noting faster adaptation, highlighting the need for effective onboarding and governance of AI tools to mitigate risks associated with shadow AI and ensure equitable access.