Nielsen/Monday.com survey: AI adoption makes work harder for managers to evaluate and adds tool sprawl and governance risk
A Nielsen survey of 1,700 directors and senior managers in seven countries, commissioned by Monday.com, finds that AI adoption is creating management and governance problems. It is not a security incident. More than half of senior leaders say it is harder to evaluate employee work now that output arrives polished by AI. Nearly half say they spend more time reviewing and guiding their teams' output. The article contains no vulnerabilities, attacks or threat actors, but it does flag shadow AI and growing concern about oversight of autonomous AI agents.
Technical Details
- 57% of managers report more tools in circulation, and about 51% say their tools have become more interdependent since adopting AI. Only 29% describe their AI infrastructure as fully optimized and centralized.
- Employees increasingly use shadow AI, meaning tools outside approved company systems.
- 58% of managers expect to oversee more AI agents than human employees within a year, 46% worry about losing control over agents' actions, and 35% fear being held responsible for AI decisions.
- 46% of managers use AI to inform decisions and 39% use it to draft performance reviews. The article notes the risk of bias, citing research from the Luxembourg Institute of Socio-Economic Research and a 2025 paper on bias against black male candidates.
Remediation
The article does not give formal remediation. It implies the need for governance processes, centralized AI infrastructure, and human involvement in crucial AI agent tasks and decisions.
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Nielsen/Monday.com survey: AI adoption makes work harder for managers to evaluate and adds tool sprawl and governance risk
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A Nielsen survey of 1,700 directors and senior managers in seven countries, commissioned by Monday.com, finds that AI adoption is creating management and governance problems. It is not a security incident. More than half of senior leaders say it is harder to evaluate employee work now that output arrives polished by AI. Nearly half say they spend more time reviewing and guiding their teams' output. The article contains no vulnerabilities, attacks or threat actors, but it does flag shadow AI and growing concern about oversight of autonomous AI agents.
Technical Details
- 57% of managers report more tools in circulation, and about 51% say their tools have become more interdependent since adopting AI. Only 29% describe their AI infrastructure as fully optimized and centralized.
- Employees increasingly use shadow AI, meaning tools outside approved company systems.
- 58% of managers expect to oversee more AI agents than human employees within a year, 46% worry about losing control over agents' actions, and 35% fear being held responsible for AI decisions.
- 46% of managers use AI to inform decisions and 39% use it to draft performance reviews. The article notes the risk of bias, citing research from the Luxembourg Institute of Socio-Economic Research and a 2025 paper on bias against black male candidates.
Remediation
The article does not give formal remediation. It implies the need for governance processes, centralized AI infrastructure, and human involvement in crucial AI agent tasks and decisions.