Nearly 1 in 3 employees across the UK and Europe are actively sabotaging their company’s AI strategy. Not dragging their feet. Not quietly ignoring new tools. Deliberately undermining the rollout.
Among Gen Z (the generation most leaders assume will adapt fastest), that figure rises to 44%.
This data, from a 2026 survey by Writer and Workplace Intelligence of 2,400 knowledge workers and C-suite leaders, should give every senior leader pause. Not because the technology is failing.
Because the “people strategy” is.
The organisations spending millions on AI infrastructure are watching their own teams work against them.
Closing the gap requires a fundamentally different approach to how AI gets introduced, communicated and led.
The Real Fear Driving Resistance
The easy assumption is that employees fear losing their jobs. Some do. But the deeper, more pervasive anxiety isn’t about replacement – it’s about relevance.
Researchers call it FOBO: Fear of Becoming Obsolete. It’s the creeping sense that the skills you’ve spent years building are degrading in real time. The window to stay relevant is shrinking with every product update and every new AI capability announcement.
A 2025 survey from Resume Now found that 63% of workers expect AI to make the workplace feel less human in 2026. Nearly one in five described that future as “cold” and “machine-driven.”
This matters because FOBO doesn’t operate at the rational level. You can’t counter it with a slide deck showing productivity gains. When someone feels their professional identity is under threat – when the thing they’re good at is being automated – the response is emotional. And emotional resistance doesn’t respond to rational reassurance.
People aren’t pushing back because they don’t understand AI. They’re pushing back because they understand exactly what it means for their role, and nobody has given them a credible answer about what comes next.
The Painful Irony of Resistance
Here’s the part that should concern every leader in a room with a resistor: opting out of AI isn’t a protective strategy. It’s an accelerant toward the very outcome people fear.
The same Writer and Workplace Intelligence survey found that AI super-users – employees who actively integrate AI into their daily work – are 3x more likely to have been promoted in the past year compared to slow adopters. They’re becoming indispensable. They’re building new capabilities on top of existing expertise. They’re moving up.
Meanwhile, 60% of C-suite executives say they will cut workers who refuse to engage with AI. Another 77% said those employees won’t be considered for promotions or leadership roles.
The maths is brutal. The people resisting AI to protect their careers are accelerating the exact outcome they want to avoid. And most of them haven’t been shown this reality clearly enough to change course.
Why the Standard Playbook Isn’t Working
Most organisations respond to resistance with the same toolkit: a company-wide town hall, an email from the CEO, and a link to an online learning platform.
It doesn’t work. And the reason is straightforward.
Telling people “your job is safe” while simultaneously rewriting their role descriptions breeds cynicism, not confidence. Employees see the contradiction. They hear the reassurance.
And then they watch a colleague get made redundant or see a team restructured around a new AI workflow. Trust doesn’t survive that gap between words and actions.
Top-down mandates create compliance. People will tick the box, complete the training module, and attend the workshop. But compliance is not adoption. Compliance looks like progress right up until someone files a grievance, or a team quietly routes around the new system, or a product launch fails because nobody actually integrated the tools they were trained on.
Trust isn’t built through communication alone. It’s built through evidence. Visible. Repeated. Personal. Employees need to see, in concrete terms, what AI means for their specific role. They need to see people like them succeeding with it. They need proof that the organisation is investing in them, not just in the technology.
Generic programmes don’t generate that proof. Role-specific, structurally backed commitments do.
What Good Looks Like: Two Companies Getting It Right
The organisations making real progress share three things in common. They co-design workflows with employees rather than designing for them – making people architects of the change, not subjects of it.
They give honest, role-specific guidance on what will change: which tasks will evolve, which will disappear, and what new skills open up new opportunities. And they invest in upskilling with real career pathways attached – not a portal link buried in an intranet page.
Two examples stand out.
IKEA faced a direct challenge when its AI chatbot “Billie” started handling 47% of customer queries. Rather than cutting its call centre workforce, Ingka Group retrained 8,500 call centre workers into interior design advisors. These employees now run paid consultation sessions, drawing on human skills – empathy, taste, spatial reasoning – that AI can’t replicate.
The remote interior design channel generated €1.3 billion in revenue. The message was clear: AI changed the work, but the people moved with it because the company built a bridge.
JPMorgan Chase took a different but equally deliberate approach. The bank rolled out its “LLM Suite” AI tool to over 200,000 employees and made AI training mandatory for all new hires. But it didn’t stop at access and training. AI adoption is now formally tied to performance reviews for approximately 65,000 engineers and technologists, and the firm has connected AI skill-building to clear progression pathways.
Backed by an $18 billion technology investment, the signal is unambiguous: this is where the company is going, and it’s bringing its people with it.
Both companies succeeded because they didn’t treat AI adoption as a communications exercise. They treated it as a structural commitment – with real money, real role changes, and real career outcomes attached.
The Window Is Open. It Won’t Stay Open.
Leaders who treat AI rollout as a technology project will keep hitting the same wall. The infrastructure will be in place.
The tools will be ready. And the people will resist, route around, or quietly sabotage the effort – because nobody earned their trust.
The organisations that move fastest from here will be those that earn trust first. Not through assurance. Through action. Through co-designed workflows that give employees ownership. Through honest conversations about what changes and what doesn’t.
Through investment in people that’s as visible and well-funded as the investment in the technology itself.
If your people are resisting, the question isn’t how to make them comply. It’s what you haven’t shown them yet.
