Employees Fake AI Use to Satisfy Leadership Mandates: Study

What happened

A new study from workforce analytics firm Visier finds that many employees are adopting AI tools primarily to satisfy leadership mandates, rather than because the tools demonstrably improve how they work. According to reporting from CIO Dive and HR Dive, the research points to a pattern of "performative" AI use, where staff feel pressure to visibly engage with AI technologies to signal compliance, even when they see limited genuine benefit to their day-to-day roles.

The findings suggest a disconnect between how leadership frames AI adoption — as a strategic priority tied to productivity and competitiveness — and how employees actually experience it on the ground. Rather than reshaping workflows in meaningful ways, AI use in many organisations is reportedly becoming a box-ticking exercise, driven by the optics of compliance rather than measurable value.

The study arrives amid broader shifts in how roles are being redefined around AI expectations, with employers increasingly asking staff to incorporate these tools into their work as part of wider digital transformation pushes.

Why it matters

For leaders driving AI adoption, the research raises a fundamental experience-design question: mandates alone do not create genuine behaviour change. When employees adopt a tool to be seen doing so, rather than because it solves a real problem, organisations risk collecting adoption metrics that look healthy on paper while masking a workforce that remains sceptical, disengaged or quietly resistant underneath.

This matters for transformation leaders because performative adoption is a leading indicator of poor change management, not a lagging one. If employees are gaming visible AI usage to satisfy leadership, the gap between reported adoption and actual value realisation will widen — undermining the business case for further AI investment and eroding trust between staff and management over time.

The Renascence take

This is less a story about AI capability and more about incentive design. When organisations measure adoption by visible activity rather than outcomes, they shouldn't be surprised when employees optimise for the metric rather than the mission.

Performative AI use is a predictable response to mandates that reward compliance over conviction — it's the workplace equivalent of a customer who smiles at a survey prompt but never returns. The behavioural fix isn't more enforcement; it's redesigning how success is measured and communicated, so adoption is tied to problems employees actually recognise as theirs to solve. Leaders who treat usage dashboards as proof of transformation, rather than as a symptom to investigate, will keep mistaking motion for progress.