Young Workers Sabotaging AI Rollouts Out of Job Security Fears

Nearly half of Gen Z employees are actively undermining their companies' artificial intelligence implementations, according to a survey released Tuesday by enterprise AI firm Writer and research organization Workplace Intelligence. The sabotage ranges from refusing to use AI tools to tampering with performance data to make the technology appear ineffective, driven primarily by fears of job displacement.

The survey of 2,400 knowledge workers across the U.S., U.K., and Europe—including 1,200 C-suite executives—found 29% of all employees admit to sabotaging their company's AI strategy. Among Gen Z workers specifically, that figure reaches 44%. Reported sabotage methods include entering proprietary company information into public AI tools, deploying unapproved AI applications, and deliberately generating low-quality work to undermine AI performance metrics.

Of those workers engaged in sabotage, 30% cited fear that AI would eliminate their positions. This aligns with broader worker anxiety: a KPMG survey from November 2025 found four in 10 workers fear AI could cost them their job. Anthropic CEO Dario Amodei has warned that AI could claim half of entry-level white-collar positions—roles many Gen Z workers currently occupy.

The resistance is backfiring. Sixty percent of executives said they are considering terminating employees who refuse to adopt AI. Additionally, 77% of executives stated that workers who fail to become proficient in AI will be excluded from promotions and leadership consideration. Sixty-nine percent of executives are planning AI-related layoffs.

Workers who embrace AI, by contrast, are advancing faster. Dan Schawbel, managing partner at Workplace Intelligence, found that "super-users" who mastered generative AI received promotions and pay raises at roughly three times the rate of slow adopters over the past year. Super-users also report saving nine hours weekly using AI—4.5 times more than the two hours per week reported by laggards.

Context

Public sentiment toward AI remains skeptical. An NBC News poll found just 26% of registered U.S. voters hold a positive view of AI, while 46% express negative views. Microsoft AI chief Mustafa Suleyman warned in early 2026 that all white-collar work could be automated within 18 months. An Anthropic study released in March 2026 determined that AI is already theoretically capable of completing the majority of tasks in computer science, law, business, finance, and other major white-collar fields.

Despite the technology's rapid advancement, organizational implementation remains difficult. An MIT report from 2025 found that 95% of generative AI pilots at companies fail—not due to technological limitations but because of learning gaps between the tools and the organizations deploying them.

What's Next

The survey indicates a divergence emerging in the workforce: companies are rewarding AI adoption and planning to remove non-adopters, while workers fear obsolescence and resist. May Habib, CEO and cofounder of Writer, argued that the most successful companies will not rely on layoffs but instead optimize collaboration between AI agents and human workers. This suggests the companies that survive the transition intact will be those redesigning operations around human-AI partnership rather than replacement—a model that requires both executive commitment and employee buy-in that currently appears absent in many organizations.