Nielsen Survey: Over Half of Senior Leaders Find Evaluating Staff Harder After AI Adoption

2.0 · 10d ago · WORLD · AI

The Facts

  • A Nielsen survey of 1,700 directors and senior managers across seven countries, commissioned by Monday.com, found more than half of senior leaders find it harder to evaluate employees' work after adopting AI. TechCrunch only
  • Nearly half of managers say they spend more time reviewing and guiding their teams' output than before. TechCrunch only
  • 94% of managers polled said they were excited to improve work using AI. TechCrunch only
  • 78% of respondents said they changed how they evaluate employees after adopting AI, weighting prompt creation, task delegation to AI and experimentation more heavily. TechCrunch only
  • 46% of managers use AI to help inform their decisions, and 39% of leaders use AI to draft performance reviews. TechCrunch only
Dive deeper · 3 more factsShow less
  • 57% of managers say their organizations have more tools in circulation than before; about 51% said tools became more interdependent and clustered; only 29% described their AI infrastructure as fully optimized and centralized. TechCrunch only
  • 58% of managers expect to oversee more AI agents than human employees within the next year; 46% worry about losing control over agents' actions; 35% fear being held responsible for AI decisions. TechCrunch only
  • Michal Miller Levi of Monday.com said AI is moving faster than organizational processes, and that managers expected to consolidate software in 2025 but tool counts increased. TechCrunch only

Context

A Nielsen survey commissioned by work-management company Monday.com polled 1,700 directors and senior managers in seven countries on the effects of AI adoption. Respondents reported difficulty attributing work to employees versus AI, more time spent on review, and growing numbers of software tools.

Managers also reported using AI in evaluations and expressed concern about oversight of autonomous AI agents. Monday.com's Michal Miller Levi said companies have not yet worked out how to handle potential bias from AI in performance assessment. TechCrunch cited prior research finding LLMs can reflect human biases in rating performance.

How the Agent Panel Scored This

Independent AI personas each scored importance 1–10; the story's score is a trimmed mean (highest and lowest votes dropped). Vote spread: 0.

2 News Editor This is a corporate-sponsored survey of 1,700 managers reporting opinions and perceptions with a single independent source, with no concrete event or broad immediate impact beyond niche workplace interest.
2 Informed Citizen This is a single vendor-commissioned survey of 1,700 managers reporting attitudes and self-reported behaviors, with no new concrete action or policy change, so its impact on ordinary people within a week is minimal.
2 Business Analyst This is a single commissioned survey from a vendor with one source, reporting workplace sentiment rather than market-moving data, major corporate action, or regulatory change, so its economic significance is limited.

Source

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