AI Adoption Study: Employees Fake Usage to Meet Mandates

What happened

A new study from workforce analytics firm Visier finds that a significant share of employees are using generative AI tools primarily to signal compliance with leadership mandates, rather than because the tools are genuinely improving how they work. The research, covered by CIO Dive and HR Dive, suggests that as organisations push AI adoption targets and usage mandates, many workers are responding with visible but shallow engagement designed to satisfy managers rather than to drive real productivity gains.

The findings point to a gap between the stated ambitions of corporate AI rollouts and the lived reality on the ground: employees reporting changes to their roles and workflows, while privately treating many AI tools as a box-ticking exercise rather than a genuine capability upgrade.

Why it matters

For leaders driving AI transformation, the study is a warning that adoption metrics can be misleading. Logging into a tool, generating a report with it, or mentioning it in a stand-up are not reliable proxies for whether AI is actually reshaping how work gets done. When usage is driven by fear of being seen as a laggard rather than by genuine utility, organisations risk mistaking surface-level compliance for cultural and operational change.

This matters as much for employee experience as for AI strategy. Workers navigating mandated tool adoption are also absorbing role changes and performance expectations tied to that adoption — a combination that, left unmanaged, can erode trust in leadership and in the technology itself, even as dashboards suggest adoption is "working."

The Renascence take

Performative AI use is a predictable response to how most mandates are designed: as a top-down instruction with a visible compliance signal, rather than as a change employees are invited to shape. The behavioural pattern here is familiar from every compliance-driven initiative — people optimise for the metric leadership is watching, not for the outcome leadership actually wants.

What gets missed is that performative adoption is itself useful data — it tells you employees don't yet see the tool as solving a problem they have. The fix isn't better usage tracking; it's redesigning the rollout so frontline staff co-define what "useful" looks like before the mandate lands, and measuring outcomes employees actually feel, not logins. Any organisation chasing an adoption percentage without first asking what job the AI is doing for the person using it is optimising for the wrong number.