Remesh finds employees are mostly left out of AI rollout decisions

A new Remesh study of 155 employees says AI adoption works better when workers are consulted, not just informed, and that most employees still lack a real voice in rollout decisions. The research also finds training, strategy and responsible-use policies matter more to workers than more executive enthusiasm or better tools.

Why it matters: - Remesh’s study suggests AI rollouts can stall when employees are treated as recipients of change instead of participants in it. - The findings point to a practical gap between leadership plans and day-to-day adoption inside organizations. - The report also shows workers care most about support, clarity and guardrails, not just new software.

What happened: - Remesh conducted a June 2026 field study with 155 employees from multiple industries using its Remesh Flex + Recruit platform. - 43% of employees said they were either not involved in AI integration in their area of work or were informed about decisions but never consulted. - Another 31% said they were consulted only occasionally. - Only 26% said they were regularly involved in discussions and decisions or actively helping shape implementation. - The study found that 75% of employees said their organization’s AI integration was at least moderately effective. - 66% described AI’s impact on culture and team dynamics as positive. - Only 10% said they use AI for most of their work tasks. - 46% said they use AI for less than a quarter of their tasks or not at all.

The details: - Remesh compared employee responses with a separate May 2026 study of 105 supervisors, managers and senior leaders. - 44% of leaders said their organization provides clear, well-communicated AI guidance. - Only 22% of employees said the same. - Employees were more likely to say their organization relies on informal norms or offers very limited guidance. - Among employees who help shape AI integration, about 40% said AI mainly increases employee autonomy and dignity at work. - Among employees informed but not consulted, about 3% said the same. - 47% of involved employees described AI’s cultural impact as very positive. - 11% of employees without a voice in the process said the same. - 45% of involved employees reported clear, well-communicated AI guidance. - 9% of employees informed but not consulted said the same. - Among employees not involved at all, 37% said they rarely or never use AI. - 21% of employees not involved at all said they do not have access to AI tools for work. - In the ranking exercise, employees put “involve employees in the AI integration process” fifth out of ten strategies. - Employees ranked training and skill development first. - Employees ranked communicating a clear AI strategy and vision second. - Employees ranked policies for responsible AI use third. - Employees ranked increase leadership support and sponsorship last. - Investing in better AI tools and technology finished seventh. - Open-ended responses repeatedly called for hands-on training, role-specific examples, step-by-step tutorials and clearer boundaries on when AI should and should not be used. - One participant asked the employer to “offer us more training and resources instead of leaving us to figure this stuff out for ourselves,” a response endorsed by 82% of the group.

Between the lines: - The study suggests employee buy-in is tied less to the amount of AI deployed and more to whether workers feel equipped and consulted. - The contrast between leaders’ and employees’ views on guidance points to a communication problem, not just a policy problem. - The results also imply that “adoption” can look healthy from the top while remaining shallow in everyday use.

What’s next: - Remesh says the findings are directional rather than generalizable because the sample is small. - The company made the full report available at the full report. - The research points organizations toward more training, clearer strategy and tighter responsible-use policies if they want broader AI uptake.

The bottom line: - Employees are not asking for more AI hype. - They are asking for training, clarity and a real voice in how AI changes their jobs.