When Your Workforce Pushes Back on AI: What the Data Says, and What to Do About It

A new study published this month puts a number on something many CEOs have been sensing but struggling to articulate: a significant portion of their workforce is actively working against their AI strategy, and the conventional response to that resistance may be making things worse.

The findings come from the 2026 AI Adoption in the Enterprise survey, conducted by enterprise AI platform Writer in partnership with independent research firm Workplace Intelligence. The study surveyed 2,400 knowledge workers (1,200 C-suite executives and 1,200 employees) across the US, UK, Ireland, Benelux, France, and Germany, spanning nearly 30 industries. [1]

The headline number is striking: 29% of employees, including 44% of Gen Z, admit to sabotaging their company’s AI strategy. It includes entering proprietary information into public AI tools, using unapproved tools, outright refusing to use AI, tampering with performance reviews, and intentionally generating low-output work to make AI appear less effective.

Executives recognise the danger: 76% say employee sabotage poses a serious threat to their company’s future.

The Problem Starts at the Top

Before treating this as a workforce problem, it’s worth looking at what the data says about the strategies those workers are reacting to.

Three-quarters of executives (75%) admit their company’s AI strategy is “more for show” than actual internal guidance. Nearly half (48%) call AI adoption a massive disappointment. up from 34% last year. Only 29% of organisations see significant ROI from generative AI, and 23% from AI agents, despite the fact that 59% of companies are investing over $1 million annually in AI technology.

54% of C-suite executives expressed concern that adopting AI is tearing their company apart, and this is the context in which employee resistance is occurring. 

The survey data suggests that in many cases, workers aren’t resisting AI itself, rather they’re responding to strategies that lack substance, clarity, or any meaningful consideration of what the transition means for their roles.

Of those workers who admitted to sabotaging their company’s AI technology, 30% cited fear that AI would take their job. 26% said they believe the technology diminishes their creativity or value within the company. Another 26% cited poorly executed company AI strategy. 28% cited concerns about security risks.

Fear of job loss and poorly executed strategy together account for more than half the stated reasons for resistance. Both are leadership problems, and demand a measured response.

The Coercive Response and Why It’s Likely to Backfire

The most common executive response to this resistance is punitive. 60% of executives plan to lay off employees who can’t or won’t adopt AI, and 77% warn that employees who refuse to become AI-proficient won’t be considered for promotions or leadership roles.  69% of companies are planning AI-related layoffs.

The problem is that this approach treats the symptom (non-adoption) without addressing the cause.

67% of executives believe their company has suffered a data leak or security breach because of an employee using an unapproved AI tool. When employees feel excluded from or threatened by an official AI strategy, they don’t necessarily stop using AI, rather they use it in ways that aren’t sanctioned, which creates exactly the security and governance exposure the company was trying to avoid. 

35% of employees have entered proprietary information into public AI tools, and 36% of companies don’t have a formal plan for supervising AI agents.

Threatening people into compliance ends up creating workarounds, the exact opposite of what’s needed: building trust between management and staff.

The Gap Between Individual Productivity and Organisational ROI

The survey does show clearly that AI adoption at the individual level produces real results. AI super-users save nearly 9 hours per week, 4.5x more than the 2 hours a week reported by AI laggards, and were 3x more likely to have received both a promotion and a pay raise in the past year. 87% of executives report that AI super-users are at least 5x more productive than employees who aren’t embracing AI.

But individual productivity gains are not the same as organisational transformation. The survey makes this distinction clearly: most companies are stuck at the individual wins stage, unable to convert them into systemic results. The gap between super-users and laggards is widening, and a workforce that is increasingly divided between those who have embraced AI and those who haven’t creates structural and cultural problems that layoffs alone won’t resolve.

90% of executives say the rise of AI super-users will require them to completely rethink how they evaluate performance. That’s a significant acknowledgment that existing performance frameworks aren’t designed for this environment, and that the problem isn’t just about getting resistant employees to comply with a tool rollout.

What the Data Points Toward

The survey identifies a trust breakdown as the mechanism connecting strategy failures to employee resistance. 80% of Gen Z trust AI more than their manager for certain work tasks, and only 35% of employees say their manager is an AI champion. When the middle layer of the organisation, the managers responsible for translating strategy into day-to-day work, aren’t equipped or bought-in, the strategy doesn’t reach the people it’s supposed to reach.

The implication for CEOs is that the adoption problem is primarily a communication and change management problem, not a technology problem. The tools exist. The ROI case exists. What’s missing, in most organisations, is a strategy that employees can actually understand and see themselves in.

That means being explicit about what AI is being used for and why. It means addressing job security questions directly rather than leaving workers to draw their own conclusions from news coverage and rumour. It means investing in training that is practical and role-specific, not generic. And it means giving employees particularly those closest to the actual work a meaningful role in shaping how AI gets integrated into their workflows.

As Writer CEO May Habib noted in the report’s release: “Layoffs are not a viable AI strategy. The leaders who are putting in the work to radically redesign operations with human-agent collaboration at the center are the ones compounding their advantage in ways competitors can’t replicate.”

The data supports that framing. The companies making the most of AI are the ones that have done the hard work of building the internal conditions - trust, clarity, genuine capability development - that make adoption possible in the first place.

Source

[1] Writer / Workplace Intelligence — AI Adoption in the Enterprise 2026 (published April 7, 2026). Survey conducted December 17, 2025 – January 25, 2026. n=2,400 (1,200 C-suite executives, 1,200 employees) across US, UK, Ireland, Benelux, France, and Germany.

https://writer.com/blog/enterprise-ai-adoption-2026/​​​​​​​​​​​​​​​​

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