Wed, October 2122:00Business/Policy

Survey: Over half of managers find it harder to assess employee output after AI adoption

Decision Brief

What changedA Nielsen survey of 1,700 managers across seven countries, commissioned by Monday.com, found that over half of senior managers say evaluating employee work has become harder since adopting AI, and nearly half spend more time reviewing and coaching team output.

Why it mattersFor engineering managers rolling AI tools into their teams, output has become "polished but hard to trace," while review, performance attribution, and tool governance costs are underestimated and the software stack grows more fragmented and harder to control centrally.

Who should careAll AI builders

Affected stackNo specific stack identified

Source confidenceMedium · Reliable media or first-hand reporting

The survey found 94% of managers are excited about using AI to improve work, but the management friction it creates is concrete: 78% say they have changed how they evaluate employees, placing more weight on prompt-writing ability, judgment about which tasks to hand to AI, and willingness to try new ways of working. 46% of managers use AI to support their own decision-making, and 39% of leaders use AI to draft performance reviews. On the tech stack, 57% of managers say their organization uses more tools than before, about 51% report rising interdependency and clustering among tools, and only 29% believe their AI infrastructure is fully optimized and centralized.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

Sources

TechCrunch：AI
Startup, funding, product, and platform AI news with fast Silicon Valley coverage.
TechCrunch：AI

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