Monday.com survey highlights AI management strain across workplaces

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AI management strain survey

Highlights

A Nielsen survey commissioned by Monday.com finds over half of 1,700 directors and senior managers struggle to evaluate employee work after adopting AI, complicating management visibility.
Only 29% of managers see their AI infrastructure as fully centralized, while 57% report increased software tools and 51% see greater tool interdependence post-AI adoption.
58% of managers expect to oversee more AI agents than human employees within a year, while 46% use AI in performance management, raising accountability and bias concerns.

Survey findings reshape management oversight

As reported by TechCrunch, a Nielsen survey of 1,700 directors and senior managers across seven countries, commissioned by Monday.com, finds that more than half of senior leaders say it is harder to evaluate employees' work after adopting AI. The survey says polished AI-assisted output makes it more difficult for managers to determine how much work comes from employees and how much comes from AI, while nearly half say they now spend more time reviewing and guiding team output.

Even so, enthusiasm for the technology remains high. The survey finds that 94% of managers are excited about improving work with AI, while 78% say they have already changed how they evaluate employees, giving more weight to skills such as writing prompts, choosing tasks to delegate to AI and experimenting with new workflows.

Michal Miller Levi, head of market research and customer insights at Monday.com, says the core problem is that AI is advancing faster than internal company processes can adapt. She says the tools may work well for managers individually, but their broader responsibility to guide organizations is creating new friction as adoption accelerates.

Infrastructure and accountability pressures grow

AI is also adding operational complexity for managers as companies introduce more software and begin deploying autonomous agents. The survey finds that 57% of managers say their organizations now have more tools in use than before, 51% say those tools have become more interdependent, and only 29% describe their AI infrastructure as fully optimized and centralized.

Levi says many businesses expected AI to reduce their software stacks, but instead they are dealing with more applications, integrations and unauthorized tool usage outside approved systems. The findings suggest supervision of AI output is becoming a new layer of invisible labor, as managers decide which tasks to hand to AI, check results and intervene when systems fail.

The governance challenge becomes more pressing as AI agents gain autonomy. The survey finds that 58% of managers expect to oversee more AI agents than human employees within the next year, 46% worry about losing control over those agents' actions, and 35% fear being held responsible for decisions made by AI.

Use of AI in performance management is also expanding, with 46% of managers saying they use AI to help inform decisions and 39% of leaders using AI to draft performance reviews. That trend carries bias risks, as research cited in the report indicates large language models can replicate human patterns in ratings and may show significant bias across social groups.

In our earlier article on CEOs’ views of AI agents, we noted that large U.S. companies are seeing early efficiency and growth gains, but few leaders consider the technology transformational yet. The survey also highlighted that many organizations expect continued hiring, retraining, and sustained investment in AI infrastructure as they modernize processes and build the talent needed to scale AI safely.

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