As AI adoption accelerates across industries, a new study from Remesh finds that most organizations are failing at the fundamentals of change management: communicating clearly, setting expectations, and preparing employees for what's coming.
The report, Exploring the Impact of AI on Organizational Culture, conducted with 105 supervisors, managers, and senior leaders using the Remesh platform, exposes a widening gap between adoption momentum and organizational readiness. Three-quarters of leaders report AI use at their organizations is either growing (62%) or widespread (13%), yet 56% operate without consistent or clearly communicated AI guidance for employees.
The result: widespread employee uncertainty that is actively slowing the productivity gains organizations are counting on.
The governance gap is a change management gap
When asked what would most improve the employee experience during AI integration, leaders identified three priorities: AI training and education (50%), clear usage policies (30%), and transparent communication from senior leadership (18%).
"These are not technology requests," the report notes. "They are people and culture requests, signaling that successful AI transformation is fundamentally a change management challenge."
The findings align with a pattern familiar to HR leaders: tool availability is rarely the barrier. Trust, clarity, and communication are.
Fear of displacement stalls adoption
The study found that when employees fear AI will replace their roles, open adoption stalls, creating drag on the efficiency gains organizations are investing in. One study participant captured the tension: "Leaders need to be straightforward that AI is not a position replacement. We are not training AI to take their jobs, but rather using AI to make their jobs easier and more efficient."
Another noted a shift in expectations that HR leaders are already navigating: "AI is changing the expectation from volume to value. We are now expected to spend more time on creative problem solving and less on repetitive execution."
Applying the SCARF framework: when AI helps vs. when it threatens
The report applies neuroscience research from David Rock's SCARF model (Status, Certainty, Autonomy, Relatedness, Fairness) to explain why the same AI tools can feel empowering to one workforce and threatening to another.
The findings offer a diagnostic for HR and people leaders: AI is experienced as a benefit when it increases speed, access to information, and human empowerment. It becomes a threat when it introduces performance pressure, ambiguity, or the sense of replacement. That transition, the report concludes, is driven entirely by leadership behavior, not by the technology itself.
About the Report
Exploring the Impact of AI on Organizational Culture was produced in partnership with Patrick Hyland, PhD, Director of Employee Research at Remesh, and Elissa Gurman, PhD, Principal at MacPhie. The study was conducted using the Remesh platform, which enables organizations to gather qualitative and quantitative insights from employees and leaders at scale.
Remesh helps enterprise organizations listen to their people at scale. Trusted by Mercer, Willis Towers Watson, and BCG, HR and people leaders use Remesh's AI-powered research platform to understand employee sentiment, navigate change, and make decisions grounded in the real voices of their workforce.
